50+ AI Prompts for Retail

1. Generating Product Descriptions for an Online Store

Every online store needs dozens, sometimes hundreds, of product descriptions. Writing them manually takes hours, and the result is often monotonous or overloaded with cliches. This prompt generates an SEO-optimized description with a clear structure, keywords, and meta description - ready for publishing on your website or marketplace.

Complexity: Beginner | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are an experienced copywriter for online stores, specializing in product descriptions.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which online store are we writing descriptions for?
2. What product category does the store specialize in?
3. Who is the target audience (e.g., young professionals, families with children)?
4. Provide the product data: name, key features, material/composition, and price.

Once you have all the answers, write a product description for the item.

## Output format
Description requirements:
1. Length: 80-150 words.
2. Tone: professional but approachable - suited to the stated target audience.
3. Structure: short introduction (1-2 sentences), 3-5 bullet points with key benefits, call to action.
4. Include 3-5 SEO keywords relevant to the product.
5. Avoid cliches like "unique", "high-quality" - replace them with concrete benefits.
6. Add a meta description suggestion (up to 155 characters).

Response format:
- Product title (SEO-optimized)
- Description
- Meta description
- Suggested keywords

Respond in English.

How to Adapt

1. Prepare the product data in advance: name, features, material, and price - the AI will ask for it.
2. If you want a more specific tone, clarify it when answering the target audience question (e.g. "youthful and informal" or "minimalist").
3. For bulk generation, prepare a table with data for 10-20 products and feed them sequentially.

What to Expect

A complete product description with bullet points, SEO title, meta description, and a list of keywords - ready for publishing. For best results, review and add specific details that only you know.

2. Product Comparison Table Generator

Customers struggle to choose between similar products - comparison tables reduce decision fatigue and increase conversion. This prompt generates structured comparison tables ready for your product pages or buying guides.

Complexity: Beginner | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are an expert in product marketing and consumer choice in retail.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or online platform is the comparison table for?
2. Which products do you want to compare (2-5 items) — provide names, key features, and prices?
3. Who is the target audience — what matters most to them when choosing (price, quality, brand, features)?
4. Is there one product you would like to highlight as the "recommended choice"?

Once you have all the answers, create a comparison table.

## Output format

1. **Comparison table** — columns for each product, rows for:
   - Price
   - Key features (3-5 rows, specific to the category)
   - Pros
   - Cons
   - Best for (buyer profile)

2. **Short summary** — 2-3 sentences: which product is best for which type of customer

3. **Recommended choice** — reasoned recommendation with 1-2 sentences explaining why

4. **SEO copy** — a 50-80 word paragraph under the table for search engines

Style: objective, no promotional tone. Focus on concrete differences, not subjective ratings.

Respond in English.

How to Adapt

1. For electronics, add rows for warranty, energy rating, and connectivity. For food products, add rows for ingredients, allergens, and nutritional values.
2. If comparing your product with competitors, stay factual - biased comparison tables lose customer trust.
3. Ask the AI to generate a "quick pick" version (3 columns max) for mobile-optimized product pages.

What to Expect

A formatted comparison table with 4-8 criteria rows, a buyer recommendation paragraph, and SEO-optimized copy underneath. Ready to embed in a product page, buying guide, or email newsletter.

3. SEO Category Page Content

Category pages are some of the most visited yet least optimized pages in online stores. This prompt generates structured, keyword-rich content that improves organic rankings while helping shoppers understand the category and find what they need.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are an SEO copywriter specializing in e-commerce and category pages.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which online store are we writing for, and what is its profile (size, niche)?
2. Which category are we creating content for?
3. What are the main keywords you want to rank for? If you don't know, describe what your customers search for.
4. How many products are in the category and what subcategories exist?
5. Who are the main competitors in this category (other online stores)?

Once you have all the answers, create SEO content for the category page.

## Output format

1. **H1 heading** — optimized for the main keyword, up to 60 characters
2. **Intro copy** — 80-120 words above the product grid:
   - What the customer will find in the category
   - Why to buy from this store
   - Naturally embedded keywords (2-3)
3. **Subcategories with descriptions** — for each subcategory: 30-50 word blurb
4. **Bottom SEO block** — 150-200 words below the products:
   - Buying guide: how to choose the right product
   - Include 3-5 long-tail keyword phrases
   - Internal links to related categories (suggest anchor texts)
5. **Meta data**:
   - Meta title (up to 60 characters)
   - Meta description (up to 155 characters)
   - Suggested alt tags for category banners

Tone: informative and helpful, not promotional.

Respond in English.

How to Adapt

1. Run a quick search on Google.bg for your target keyword first - paste the top 3 competitors' approaches when answering question 5 for more targeted content.
2. For seasonal categories (e.g. "winter jackets"), ask the AI to include seasonal freshness signals and update triggers.
3. If your platform supports structured data, add: "Include a FAQ schema suggestion with 3 questions and answers."

What to Expect

A complete category page content kit: optimized H1, intro paragraph, subcategory descriptions, a buyer's guide section, and full meta data. Typical deployment: paste into your CMS, adjust internal links, publish.

4. Product FAQ Generator

FAQ sections reduce support tickets and improve SEO through structured data. This prompt transforms product specifications and common customer questions into well-organized Q&A blocks ready for product pages.

Complexity: Beginner | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a customer experience and product documentation specialist for e-commerce.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which product or product category are we generating an FAQ for?
2. Provide the product specifications (features, dimensions, materials, warranty).
3. What are the most common questions you receive from customers (by phone, email, chat)?
4. Are there specific return, delivery, or warranty policies that customers ask about?

Once you have all the answers, generate the FAQ section.

## Output format

1. **Pre-purchase questions** (4-5 questions)
   - Sizes, compatibility, materials
   - Comparison with alternatives

2. **Delivery and payment questions** (3-4 questions)
   - Timing, methods, free delivery

3. **Post-purchase questions** (3-4 questions)
   - Warranty, returns, support

For each question:
- **Q**: The question — phrased the way a real customer would ask
- **A**: The answer — 2-3 sentences, concrete and useful

At the end: suggest JSON-LD FAQPage schema markup for the first 5 questions.

Respond in English.

How to Adapt

1. Pull your actual top 10 customer questions from your support inbox or live chat logs - paste them directly for more realistic FAQ entries.
2. For technical products (electronics, tools), add a "Technical specifications" FAQ group with compatibility and setup questions.
3. Generate FAQs in batches of 5-10 products at a time and maintain a master FAQ template per category.

What to Expect

A structured FAQ section with 10-13 questions grouped by purchase stage, each with a concise answer, plus ready-to-use schema markup for Google rich results. Reduces support inquiries and improves product page SEO.

5. Seasonal Collection Copywriting

Seasonal launches need compelling copy fast - from landing page headlines to email teasers. This prompt generates a full copy kit for a seasonal collection or thematic campaign, maintaining consistent messaging across all touchpoints.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a copywriter for fashion and retail brands, specializing in seasonal campaigns.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or brand is the collection for?
2. What is the season or occasion (spring-summer, Easter, Back to School, Black Friday)?
3. What are the key products in the collection (5-10 items with descriptions)?
4. Who is the target audience and what is the price segment?
5. Which channels will you use (website, email, social media, in-store)?

Once you have all the answers, create a copy kit for the seasonal collection.

## Output format

1. **Hero Message**
   - Tagline: up to 8 words
   - Subheading: 1 sentence expanding the tagline
   - Banner copy: 20-30 words for the main site banner

2. **Landing page copy**
   - H1 heading and H2 subheading
   - Intro paragraph: 60-80 words
   - 3 sections by product group: heading + 30-40 words for each
   - CTA button text (2-3 variants)

3. **Email teaser**
   - Subject line (3 variants: A/B/C test)
   - Preview text (up to 90 characters)
   - Body: 100-120 words
   - CTA button

4. **Social media** (1 post each for Instagram, Facebook)
   - Copy + suggested hashtags (5-7)

Tone: aligned with the brand and audience. All copy should sound like one voice.

Respond in English.

How to Adapt

1. Share your brand voice guidelines (if you have them) when answering question 4 - even 3-4 adjectives like "playful, warm, premium" help enormously.
2. For multi-language stores, generate the Bulgarian version first, then ask: "Now translate this to English, keeping the same tone and adapting cultural references."
3. For Black Friday or flash sales, add urgency elements: "Include countdown language and scarcity cues."

What to Expect

A complete seasonal copy kit: hero message, landing page content, email teaser with A/B subject lines, and social media posts - all with consistent tone and messaging. Saves 3-4 hours of copywriting per seasonal launch.

6. Product Tag and Attribute Extraction

Messy product data is the hidden cost of retail operations - inconsistent attributes make filtering, search, and analytics unreliable. This prompt extracts structured data from unstructured product descriptions, standardizing your catalog for better searchability.

Complexity: Advanced | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a product catalog and data management specialist in e-commerce.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or marketplace are we structuring data for?
2. What is the product category (apparel, electronics, cosmetics, food)?
3. Paste the unstructured descriptions of 5-10 products (copy from the website or supplier).
4. What attributes matter for your platform (e.g., size, color, material, weight, brand)?
5. Do you use a standardized taxonomy or a custom one?

Once you have all the answers, extract and structure the product data.

## Output format

1. **Structured table** — columns:
   - Product name (standardized)
   - Brand
   - Category / Subcategory
   - Attribute 1, 2, 3... (per the spec from question 4)
   - Tags (3-5 per product, for search and filtering)

2. **Missing information list** — which products are missing data and what

3. **Suggested taxonomy** — if there is no standard, propose a hierarchy:
   Category > Subcategory > Type > Variant

4. **CSV-ready format** — the table ready for import (tab-separated)

Rules: standardize units of measurement (cm, kg, ml). Brand names — keep the original spelling. Colors — use standard names, not "ocean blue".

Respond in English.

How to Adapt

1. Start with your messiest product category - the one where search filters fail most often. Fix that first for maximum impact.
2. For large catalogs (500+ products), process in batches of 20-30 items and build a master attribute template from the first batch.
3. If your platform uses specific import formats (Magento, Shopify, WooCommerce), specify: "Output in [platform] CSV import format."

What to Expect

A structured attribute table for all submitted products, a gap analysis showing missing data, a suggested taxonomy hierarchy, and a CSV-ready export. Typically 60-70% of attributes are extracted correctly on first pass; the rest need manual verification.

7. Analyzing Customer Reviews and Ratings

Customer reviews are a goldmine of information - if you have time to read and systematize them. In practice, most stores collect feedback but rarely analyze it systematically. This prompt extracts recurring themes, urgent problem signals, and specific recommendations from free-text customer comments.

A similar system for automated review analysis is already working in Bulgarian stores - the kazva.bg platform processes thousands of customer ratings every month.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a customer experience (CX) analyst for retail.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain are we analyzing reviews for?
2. What period does the data cover (e.g., January-February 2026)?
3. Paste the customer reviews for analysis (from Google Reviews, Facebook, internal surveys, or another source).

Once you have all the answers, perform the following analysis:

1. **Sentiment Overview**
   - Percentage of positive / neutral / negative reviews
   - Average rating and trend versus the previous period (if data is available)

2. **Top 5 recurring themes**
   - For each theme: short description, number of mentions, representative quotes
   - Split into "Strengths" and "Areas for improvement"

3. **Red Flags**
   - Reviews that require immediate action (complaints about safety, service, defects)
   - Suggest a specific response for each critical signal

4. **Comparative analysis by category**
   - Product quality
   - Customer service
   - Price/value
   - Store environment / delivery

5. **Three concrete recommendations**
   - For each: what to change, expected effect, priority (high/medium/low)

Format: A structured report with tables where appropriate. Mark each recommendation with its priority level.

Respond in English.

How to Adapt

1. Export your reviews in advance from Google Reviews, Facebook, internal surveys, or a feedback platform.
2. If you have more than 50 reviews, process them in batches - feed 30-50 at a time.
3. For deeper analysis, include numerical ratings (1-5 stars) alongside the text reviews.

What to Expect

A structured report with sentiment distribution, top 5 themes with quotes, a list of critical signals, and three prioritized recommendations - ready for discussion at the weekly management meeting.

8. Review Response Generator

Responding to every review builds trust and signals to algorithms that your business is active. But drafting individual responses takes time. This prompt generates personalized, professional responses to both positive and negative reviews while maintaining your brand voice.

Complexity: Beginner | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are an online reputation manager for a retail chain.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain are we writing responses for?
2. What is the brand tone — formal, friendly, professional?
3. Paste the reviews we need to respond to (include the star rating and text).
4. Is there a standard compensation procedure for complaints (discount, exchange, refund)?

Once you have all the answers, generate a personalized response for each review.

## Output format

For each review:

**For a positive review (4-5 stars):**
- Thanks with a specific reference to what was mentioned
- 1 sentence reinforcing the stated strength
- Invitation to return or to a new collection/promotion
- Length: 40-60 words

**For a negative review (1-3 stars):**
- Apology without excuses
- Specific commitment to action (if applicable)
- Invitation to direct contact (email/phone) for resolution
- Length: 60-80 words

**For a neutral review:**
- Thanks for the feedback
- Address the specific point raised
- Invitation to try again
- Length: 40-60 words

Rules: no boilerplate language, no "Dear customer". Every response must be different.

Respond in English.

How to Adapt

1. Batch your reviews weekly: paste 10-15 at once for efficient response generation.
2. For Google Reviews specifically, keep responses under 4,000 characters - the platform truncates longer text.
3. If a negative review mentions a specific employee, ask the AI to exclude names and focus on the process improvement.

What to Expect

Personalized responses for each review, adapted by sentiment, with concrete references to the customer's specific feedback. Expect to spend 2-3 minutes reviewing each response instead of 10-15 minutes writing from scratch.

9. Competitor Review Mining

Your competitors' reviews are free market research. This prompt systematically analyzes competitor feedback to identify gaps you can fill, strengths you should match, and complaints you can turn into your competitive advantage.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a competitive analyst specializing in the retail market.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. What is your store/chain and what is your main category?
2. Who are 2-3 direct competitors whose reviews we will analyze?
3. Paste the competitor reviews (from Google, Facebook, Trustpilot — 20-30 per competitor).
4. What are your current strengths you would like to reinforce?

Once you have all the answers, perform a competitive review analysis.

## Output format

1. **Competitor matrix** — table:
   | Criterion | Competitor A | Competitor B | Our store |
   - Average rating
   - Most praised
   - Most criticized
   - Review tone (emotional, factual, disappointed)

2. **Missed opportunities (Gaps)**
   - 3-5 things competitors' customers complain about that you can offer better
   - For each: a specific action proposal

3. **Strengths to emulate**
   - 2-3 things competitors do excellently according to their customers

4. **Marketing messages**
   - 3 messages based on competitors' weaknesses (without naming them directly)

5. **Priorities** — ordered by potential impact

Respond in English.

How to Adapt

1. Export competitor reviews from Google Maps using a browser extension or copy-paste the 30 most recent reviews manually.
2. For online stores, include reviews from Emag, Ozone, or the competitor's own website alongside Google Reviews.
3. Run this analysis quarterly to track shifts in competitor perception over time.

What to Expect

A competitive intelligence report with a comparison matrix, 3-5 actionable gaps you can exploit, and ready-to-use marketing messages that address competitor weaknesses without naming names. Ideal for quarterly strategy reviews.

10. Net Promoter Score Survey Analysis

NPS is the most widely used customer loyalty metric, but the real value lies in the open-ended comments behind the score. This prompt processes NPS survey data, segments by promoter/passive/detractor, and extracts actionable themes from each group.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a CX analyst specializing in NPS surveys for retail.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain is the NPS survey for?
2. What period does the data cover and how many responses do you have?
3. Paste the data — for each respondent: NPS score (0-10) and comment (if any).
4. Do you have data from a previous period for comparison?
5. What is your current NPS and what is the target?

Once you have all the answers, perform the NPS analysis.

## Output format

1. **NPS result and trend**
   - Current NPS = % Promoters - % Detractors
   - Breakdown: Promoters (9-10) | Passives (7-8) | Detractors (0-6)
   - Trend versus the previous period (if available)

2. **Segment analysis**
   - **Promoters**: Top 3 reasons for loyalty (with quotes)
   - **Passives**: What is keeping them from 9-10? Specific factors
   - **Detractors**: Top 3 reasons for dissatisfaction (with quotes)

3. **Key drivers**
   - Table: Factor | Impact on NPS | Mention frequency | Direction (↑↓)

4. **Action plan**
   - 3 quick wins — feasible within 2 weeks
   - 2 strategic initiatives — for the next quarter
   - For each: owner, success metric

5. **Team communication** — short summary (5-6 sentences) to share with staff

Respond in English.

How to Adapt

1. If your NPS survey is on a different scale (e.g. 1-5 or 1-100 as on kazva.bg), specify the scale when answering question 3.
2. For multi-location chains, add "Break down the analysis by location" and include the store/branch in your data.
3. Pair this with the Review Response Generator (prompt 8) to close the loop with detractors who left contact information.

What to Expect

A complete NPS report with score calculation, segment-level analysis with customer quotes, a driver matrix, and a prioritized action plan with quick wins and strategic initiatives. Ready for a management presentation.

11. Mystery Shopper Report Generator

Mystery shopping evaluations need consistent criteria and professional reporting. This prompt creates evaluation frameworks and report templates that any team member can use, ensuring objective and comparable assessments across visits and locations.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a quality control and mystery shopping specialist in retail.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain is the program for?
2. What is the store type (grocery, apparel, electronics, pharmacy, other)?
3. Which service aspects matter most (greeting, consultation, checkout, cleanliness)?
4. Are there specific standards or SOPs (Standard Operating Procedures) that must be checked?
5. How many locations will be evaluated?

Once you have all the answers, create a mystery shopping program.

## Output format

1. **Scorecard**
   - Table with categories and subcriteria (20-25 items)
   - Scale: 1-5 with a description of what each rating means
   - Weight of each category (%)
   - Maximum and minimum "pass" thresholds

2. **Visit scenario**
   - Mystery shopper profile: who they are, what they're looking for
   - Step-by-step: what they should do from entering to leaving
   - 3 test situations (standard purchase, complaint, special request)

3. **Report template**
   - Date, location, evaluator name
   - Completed scorecard
   - Free text: observations, photos (description of what to photograph)
   - Overall result and recommendations

4. **Comparative framework** — how to compare results across locations

Respond in English.

How to Adapt

1. If you already have existing mystery shopping criteria, paste them and ask the AI to "Improve this scorecard and fill in the missing areas."
2. For food retail, add hygiene and food safety criteria. For fashion retail, add fitting room experience and styling advice evaluation.
3. Run the scenario past your store managers first - their feedback will make it more realistic.

What to Expect

A complete mystery shopping toolkit: a 20-25 point evaluation scorecard with weighted categories, a visit scenario with test situations, a report template, and a framework for cross-location comparison. Ready to brief your mystery shoppers.

12. Social Media Sentiment Tracker

Brand perception lives on social media, but monitoring mentions manually across platforms is impossible at scale. This prompt creates a structured analysis of your brand mentions, categorizing sentiment, identifying influencers, and flagging potential crises before they escalate.

Complexity: Advanced | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a social media analyst for retail brands in the Bulgarian market.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which brand or chain are we monitoring?
2. What period does the data cover (last week, month)?
3. Paste the social media mentions (copy posts, comments, stories mentions from Facebook, Instagram, TikTok, Twitter/X).
4. Is there a current campaign or promotion that could generate more mentions?
5. Has there been a recent incident or crisis that needs to be tracked?

Once you have all the answers, perform an analysis of the social mentions.

## Output format

1. **Dashboard summary**
   - Total number of mentions by platform
   - Sentiment distribution: positive / neutral / negative (%)
   - Trend: rising, stable, or falling interest

2. **Top topics and hashtags**
   - 5-7 most common topics with examples
   - Related hashtags and their frequency

3. **Influencers & Advocates**
   - Which profiles generate the most engagement when they mention the brand
   - Potential ambassadors vs. critics

4. **Crisis radar**
   - Mentions with escalation potential
   - Suggested response and timing (within 2 hours / within 24 hours)

5. **Content recommendations**
   - 3 topics that resonate with the audience (for future posts)
   - 2 topics to avoid

Respond in English.

How to Adapt

1. For ongoing monitoring, run this prompt weekly with fresh data. Save the previous week's report and ask: "Compare with last week's analysis" for trend detection.
2. If you use a social listening tool (Brand24, Mention), export the data in CSV and paste it directly.
3. For crisis situations, skip the full analysis and ask: "Focus only on negative mentions about [specific issue] and draft response templates."

What to Expect

A social media sentiment report with platform-level breakdown, topic analysis, influencer identification, crisis alerts, and content recommendations. Ideal for weekly marketing team briefings.

13. Demand Forecasting and Inventory Optimization

Overstock freezes working capital, and stockouts lose sales. For small and medium stores without access to expensive ERP systems, language models offer an affordable alternative for analyzing sales data and generating order recommendations. This prompt is the most complex in the guide - it requires prepared sales data, but the result is a concrete action plan.

Complexity: Advanced | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a supply chain analyst with 10+ years of retail experience.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain are we forecasting for?
2. What product category are we analyzing?
3. How many SKUs do you have in this category and what is the average inventory turnover (in days)?
4. What is your target margin (%)?
5. Paste the sales data for the last 6-12 months (in tabular format).
6. What upcoming events and seasonal factors do you expect (e.g., Easter, summer seasonality, Black Friday)?
7. After how many days without movement do you consider an item dead stock?

Once you have all the answers, prepare a demand forecast and an inventory optimization plan.

## Output format

1. **Demand forecast (next 3 months)**
   - For each month: expected sales volume, confidence interval (low/medium/high)
   - Identify the top 10 SKUs expected to grow and the top 10 expected to decline
   - Mark seasonal peaks and dips

2. **Current inventory analysis**
   - Items at risk of overstock - propose a markdown strategy
   - Items at risk of stockout - propose reorder dates
   - Dead stock: items with no movement above the specified threshold

3. **Order recommendations**
   - Optimal quantities for the next order by item
   - Suggest safety stock levels
   - Identify bundle/kit opportunities for slow-moving items

4. **Risks and alternative scenarios**
   - What happens if demand is 20% higher/lower?
   - Recommendations for long-lead-time suppliers

Format: tables for quantitative data, bullet points for recommendations. Mark each recommendation with its priority and expected effect.

Respond in English.

How to Adapt

1. Prepare your sales data in tabular format (Excel or CSV) - minimum 6 months of history. The AI will ask for it.
2. The dead stock threshold depends on your category: for groceries it might be 14 days, for clothing - 90 days.
3. Prepare a list of upcoming events with specific dates for your region.

What to Expect

A three-month forecast with quantitative data, a list of at-risk items (overstock and stockout), specific order quantities, and safety stock levels. The result does not replace an ERP, but serves as a starting point for informed decisions.

14. Supplier Evaluation Scorecard

Choosing the right supplier goes beyond price - reliability, lead times, quality consistency, and flexibility all matter. This prompt creates a structured evaluation framework to compare suppliers objectively and make data-driven sourcing decisions.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a procurement and supplier management specialist in retail.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain are we evaluating suppliers for?
2. What product category do they supply (food, apparel, electronics, cosmetics)?
3. Which suppliers will we compare (2-5) and what are their main terms (price, minimum order, lead time)?
4. Which factors matter most to you: price, delivery reliability, quality, flexibility on minimums, return terms?
5. Have there been issues with any of the suppliers recently?

Once you have all the answers, create an evaluation scorecard.

## Output format

1. **Comparison matrix** — table:
   | Criterion | Weight (%) | Supplier A | Supplier B | ... |
   - Price and pricing terms (20%)
   - Delivery reliability — % on time (20%)
   - Product quality — % defect/return rate (20%)
   - Lead time (15%)
   - Flexibility (minimum order, rush orders) (10%)
   - Communication and support (10%)
   - Payment terms (5%)
   - Score: 1-5 per criterion, weighted total

2. **Risk indicators**
   - For each supplier: concentration risk (% of assortment)
   - What happens if Supplier X stops deliveries?

3. **Recommendation**
   - Primary supplier: who and why
   - Backup supplier: for which items
   - Negotiation strategy: what to request at the next review

Respond in English.

How to Adapt

1. For food retail, add criteria for cold chain compliance, expiry date management, and food safety certifications.
2. Assign weights based on your actual pain points - if late deliveries are your biggest issue, increase the reliability weight to 30%.
3. Run the evaluation quarterly and track score trends per supplier over time.

What to Expect

A weighted supplier scorecard with comparative scores across all criteria, risk indicators, and a clear recommendation with negotiation talking points. Ready for a purchasing review meeting.

15. Dead Stock Recovery Strategy

Dead stock ties up capital and shelf space that could generate revenue. This prompt creates a systematic recovery plan with multiple liquidation channels, pricing strategies, and prevention measures to minimize future dead stock accumulation.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are an inventory management and dead-stock liquidation specialist.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain is the plan for?
2. What is the dead-stock value (in BGN) and how many items are affected?
3. What is the product type — seasonal, fashion, electronics, food, other?
4. How long have they been without movement and what is their current condition (new, cosmetic defects)?
5. What sales channels do you have (physical store, online, marketplace, B2B)?

Once you have all the answers, create a strategy to recover value from dead stock.

## Output format

1. **Dead-stock classification**
   - Category A: Can be sold at a discount (30-50%)
   - Category B: Can be sold via bundles/kits
   - Category C: For liquidation/donation/recycling
   - For each: criteria and sample items

2. **Channel-by-channel action plan**
   - In-store flash sale: timing, visuals, pricing
   - Online promotion: platform, description, photos
   - B2B/wholesale: potential buyers (type, not specific names)
   - Outlet/bazaar: organization and communication
   - Donation: tax benefits and PR value

3. **Pricing strategy**
   - Progressive markdown: weeks 1-2, weeks 3-4, week 5+
   - Floor price to preserve brand image

4. **Prevention**
   - 3-5 measures to reduce future dead stock
   - Early indicators to monitor

Respond in English.

How to Adapt

1. For food retail with expiring products, tighten the timeline: use "days to expiry" instead of "months without movement."
2. If you have a loyalty program, ask the AI to include "loyalty member exclusive clearance" as an additional channel.
3. For fashion retail, add "end of season" and "off-season storage cost" calculations to justify aggressive markdowns.

What to Expect

A categorized dead stock inventory with a multi-channel liquidation plan, a progressive markdown pricing strategy, and preventive measures. Typical recovery rate: 40-70% of original value depending on product type and timing.

16. Reorder Point Calculator

Running out of a bestseller on a Saturday afternoon costs more than most retailers realize. This prompt calculates optimal reorder points based on your actual sales velocity, lead times, and desired service levels - no ERP required.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a logistics analyst specializing in retail inventory management.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain are we calculating reorder points for?
2. Which items (5-20) do you want to calculate — provide names and SKU numbers.
3. For each item: average daily sales, supplier lead time (in days), current stock.
4. What service level do you target — 90%, 95%, or 99% (probability of not stocking out)?
5. Are there seasonal variations in sales for these items?

Once you have all the answers, calculate the optimal reorder points.

## Output format

1. **Reorder Points table**
   | Item | Avg. daily sales | Lead time (days) | Safety stock | Reorder Point | Current stock | Status |
   - Status: ✅ OK / ⚠️ Order soon / 🔴 Order NOW

2. **Formulas (for reference)**
   - Reorder Point = (Average daily sales × Lead time) + Safety stock
   - Safety stock = Z-score × √Lead time × Standard deviation of daily sales
   - Explain the Z-score for the chosen service level

3. **Urgent actions**
   - Items that need to be ordered today
   - Items that will reach the reorder point in the next 7 days

4. **Optimization recommendations**
   - Items with excessive safety stock (frozen capital)
   - Items with safety stock too low (stockout risk)
   - Suggestions to reduce lead time

Respond in English.

How to Adapt

1. Export your last 3 months of daily sales data per SKU from your POS system for more accurate calculations.
2. For perishable goods, add: "Include shelf life in the analysis - product must have at least 50% of its shelf life remaining when delivered."
3. Run this weekly for your top 50 SKUs that generate 80% of revenue (the Pareto principle applies).

What to Expect

A reorder point table with status indicators for each SKU, urgency-flagged items requiring immediate action, and optimization recommendations for safety stock levels. Simple enough to use as a weekly ordering checklist.

17. Seasonal Stock Planning

Seasonal buying decisions made in March determine profitability in July. This prompt builds a data-informed seasonal buying plan that balances historical sales patterns, trend forecasts, and budget constraints - structured by week and category.

Complexity: Advanced | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a buyer with extensive experience in Bulgarian retail.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain are we planning for, and which season (spring-summer, fall-winter)?
2. What is the total budget for seasonal stock purchases?
3. What are the main categories and what % of the budget goes to each?
4. Paste the sales data for the same season last year (by category and week, if available).
5. What trends are you seeing this year (new products, demand shift, price pressure)?
6. What are the key dates for the season (Easter, start of summer vacation, Black Friday)?

Once you have all the answers, create a seasonal buying plan.

## Output format

1. **Budget allocation**
   - By category: amount, % of budget, rationale
   - By month: what to order when (delivery timing)

2. **Weekly sales plan**
   - Table: Week | Expected revenue | Key items | Promotion
   - Mark peak weeks and quiet periods

3. **Assortment matrix**
   - Core (year-round assortment): 60-70%
   - Fashion/Trend (trendy items): 20-25%
   - Test (new, unproven): 5-10%
   - For each group: number of SKUs, average margin, risk

4. **Critical decisions**
   - When to pre-order with early commitment
   - When to wait and buy later at a higher price but lower risk
   - Exit plan: if an item is not selling by week X, what do you do?

5. **Checkpoints**
   - Dates for performance reviews (at 4, 8, and 12 weeks)
   - Decision metrics: continue, scale up, or stop

Respond in English.

How to Adapt

1. The more granular your historical data, the better the plan. Weekly sales by SKU is ideal; monthly by category is the minimum.
2. For first-time seasonal planning (no historical data), describe your market position and customer profile in detail when answering the questions.
3. Add weather dependency notes if relevant: "Our sunscreen sales correlate with temperatures above 25C - include weather-adjusted scenarios."

What to Expect

A complete seasonal buying plan with budget allocation by category and timing, a weekly sales calendar, an assortment risk matrix, and built-in review checkpoints. Designed to be printed and posted in the back office as a reference throughout the season.

18. Pricing Strategy and Promotions

Proper pricing is the balance between competitiveness and profitability. Most small stores set prices "by feel" or simply add a fixed margin. This prompt helps you analyze the competitive landscape, identify price anchors, and plan a promotional calendar with expected impact.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a pricing strategist for retail.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain are we doing the pricing analysis for?
2. What product category are we analyzing?
3. Who are your main competitors?
4. What is the store's price positioning - budget, mid-market, or premium?
5. Paste the data for current prices and margins (item, price, cost, margin).

Once you have all the answers, analyze the pricing and propose optimizations.

## Output format

1. **Competitive price analysis**
   - Compare our prices with the listed competitors for the top 20 items
   - Identify items where we are significantly more expensive or cheaper
   - Identify "price anchors" - the items by which customers judge our overall price level

2. **Pricing strategy**
   - Propose price adjustments with justification for each
   - Identify items for a "loss leader" strategy
   - Propose bundle offers (kits of 2-3 products)

3. **Promotional plan for the next month**
   - Weekly promotion schedule
   - For each promotion: item, discount %, expected volume uplift, margin effect
   - Propose mechanics: direct discount, "2-for-1", "buy X - get Y"

4. **Price psychology**
   - Propose optimal price points (charm pricing, anchoring)
   - How to present value, not just price

Format: tables for price comparisons, bullet points for strategic recommendations.

Respond in English.

How to Adapt

1. Prepare your pricing data as a table: item, current price, cost, margin. The AI will ask for it.
2. Your price positioning drives the analysis direction - a budget store gets aggressive pricing suggestions, while premium gets a value strategy.
3. For a more detailed competitive analysis, include competitor prices for key items as well.

What to Expect

A competitive price analysis with specific items, a strategy with justifications for each adjustment, a monthly promotional calendar, and price psychology tips. Ideal for preparing a weekly operations meeting.

19. Promotional Calendar Planner

Retail promotions without a calendar become reactive and chaotic. This prompt creates a 3-month promotional schedule with themes, mechanics, margin impact estimates, and channel allocation - giving your team a clear roadmap for every week.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a retail marketing manager with experience planning promotions for the Bulgarian market.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain is the promotional calendar for?
2. Which quarter are we planning (Q1, Q2, Q3, Q4 of what year)?
3. What is the average monthly revenue and what percentage of it comes from promotions?
4. What promotional mechanics do you currently use (direct discount, BOGO, gift, voucher)?
5. What are the key dates and events for your business during this quarter?
6. What is your promotional budget (for marketing materials, not for discounts)?

Once you have all the answers, create a quarterly promotional calendar.

## Output format

1. **Weekly calendar** — table:
   | Week | Theme | Promotion | Mechanic | Category | Channels | Expected effect |
   - 12-13 rows (1 per week)
   - Mark the "big" promotions (2-3 per quarter)

2. **Detailed brief for each major promotion**
   - Duration: start and end
   - Items: which specifically, at what discount
   - Communication plan: when and where to announce
   - Expected traffic and revenue uplift (%)
   - Margin impact

3. **Weekly "quiet" promotions**
   - Small incentives that maintain traffic between major campaigns
   - Examples: "Product of the day", "Loyalty member discount"

4. **Budget and ROI forecast**
   - Budget allocation per promotion
   - Expected incremental revenue from each

Respond in English.

How to Adapt

1. Align major promotions with supplier co-funding: ask "Which suppliers offer promotional support?" and include their products in the big campaigns.
2. For online-only stores, replace "in-store signage" with "homepage banner, email, push notification, retargeting ads."
3. If you have historical promotion performance data, paste it to get more accurate ROI estimates.

What to Expect

A 12-13 week promotional calendar with themes, mechanics, and channel allocation for each week, detailed briefs for 2-3 major campaigns, and a budget-to-ROI projection. Print it and pin it in the office.

20. Loyalty Program Designer

Customer acquisition costs 5-7x more than retention. A well-designed loyalty program increases repeat visits and basket size. This prompt designs a complete loyalty program tailored to your store format, customer profile, and operational capabilities.

Complexity: Advanced | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are an expert in customer loyalty and CRM strategies for retail.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain are we designing the loyalty program for?
2. What is the average number of transactions per month and the average basket size?
3. Do you have an existing loyalty program? If so, what works and what doesn't?
4. What technical capabilities do you have (POS system, mobile app, CRM, email list)?
5. What budget would you allocate for rewards/discounts (as % of revenue)?
6. What is your main goal — more frequent visits, larger basket, or attracting new customers?

Once you have all the answers, design the loyalty program.

## Output format

1. **Program concept**
   - Name (3 suggestions)
   - Type: points, tiers, cashback, or hybrid
   - Core rule: how points/rewards are earned and spent
   - Example: "For every 10 BGN you get 1 point. 50 points = 5 BGN discount."

2. **Tier structure** (if tier-based)
   - 3 tiers: name, threshold, benefits for each
   - How the customer moves between tiers

3. **Engagement mechanics**
   - Sign-up bonus
   - Birthday reward
   - Double-points days
   - Referral bonus (refer a friend)
   - Exclusive early access to promotions

4. **Technical requirements**
   - Minimum: what is needed to launch (punch card/card, POS setup)
   - Ideal: mobile app, SMS/email notifications
   - Integration with the POS system

5. **Financial model**
   - Reward expense (% of revenue)
   - Expected uplift in visit frequency and basket size
   - Break-even: how many months until the program pays for itself

6. **Launch communication plan** — 4-week

Respond in English.

How to Adapt

1. If you have a small store without a POS system, ask for a "paper stamp card" version - simpler mechanics, no technology required.
2. For multi-location chains, add: "The program must work across all locations with a single account per customer."
3. To benchmark, add: "Reference successful loyalty programs from Bulgarian retail (e.g., Fantastico Plus, Kaufland Card)."

What to Expect

A complete loyalty program blueprint with earning/redemption mechanics, tier structure, engagement features, technical requirements, financial projections, and a launch communication plan. Ready to present to management for approval.

21. Dynamic Markdown Strategy

Markdowns are often too late and too aggressive, destroying margin without moving enough inventory. This prompt creates a progressive markdown schedule that maximizes revenue recovery while maintaining brand perception.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a pricing manager specializing in retail markdown optimization.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain is the markdown strategy for?
2. What is the product category and the typical lifecycle of an item?
3. Paste the items for markdown: name, original price, cost, current stock, weeks on sale.
4. What constraints exist — minimum margin, brand image, supplier contractual clauses?
5. What discount communication channels do you have (signs, website, email, social media)?

Once you have all the answers, create a progressive markdown strategy.

## Output format

1. **Progressive schedule** — table for each item:
   | Item | Orig. price | Step 1 (wk 1-2) | Step 2 (wk 3-4) | Step 3 (wk 5-6) | Floor price |
   - Step 1: -15 to -20% (first markdown, draws attention)
   - Step 2: -30 to -40% (accelerates sell-through)
   - Step 3: -50%+ (final clearance)
   - Floor price: the minimum below which you do not go

2. **Escalation rules**
   - If the item sells X% of stock at Step 1 → hold the price
   - If it sells below Y% → move to the next step earlier
   - Specific thresholds per category

3. **Communication plan**
   - How to label each step: "Seasonal sale" → "Final sale" → "Last items"
   - Visual framework: what color signs, where in the store

4. **Alternatives to direct markdown**
   - Bundle with a full-priced item
   - Gift with purchase
   - Loyalty-exclusive offer

Respond in English.

How to Adapt

1. For fashion retail, compress the timeline: season changes faster, and markdowns need to start earlier.
2. For electronics, add "price match guarantee" considerations - customers may wait for further drops if they expect more markdowns.
3. If you sell on marketplaces (Emag, Amazon), include marketplace-specific pricing rules and minimum advertised price (MAP) restrictions.

What to Expect

A progressive markdown schedule with specific prices for each step, clear escalation rules based on sell-through rates, a communication framework, and alternative discount mechanics. Maximizes margin recovery from aging inventory.

22. Bundle and Cross-sell Optimizer

Bundles increase average order value and help move complementary or slow-selling items. This prompt identifies high-potential product combinations, calculates optimal bundle pricing, and generates merchandising recommendations for both online and in-store presentation.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a category management and cross-selling specialist in retail.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or online platform is the analysis for?
2. What are your top 20 products by sales?
3. Are there low-velocity items you would like to include in bundles?
4. What is the average margin per category?
5. Paste data on "bought together" items (if available, from POS or analytics).

Once you have all the answers, propose a bundle and cross-sell strategy.

## Output format

1. **Proposed bundles (8-10 bundles)**
   For each:
   - Products in the bundle
   - Price separately vs. price as bundle
   - Customer savings (% and BGN)
   - Bundle margin vs. individual margin
   - Buyer profile: who it suits

2. **Cross-sell recommendations**
   - At checkout: 5 impulse-purchase items paired with different main products
   - Online: "Customers also buy..." — 5 pairs
   - At checkout (online): "Complete your order with..." — 3 suggestions

3. **Merchandising guidance**
   - Where physically to place the bundles in the store
   - How to present them online (landing page, popup, email)
   - Visual framework: what the bundle label should look like

4. **Testing**
   - A/B test plan: which 3 bundles to test first
   - Metrics: conversion rate, average basket size, margins
   - Duration: 2-4 weeks

Respond in English.

How to Adapt

1. If you have basket analysis data from your POS, paste the "frequently bought together" pairs - the AI will build on actual purchasing behavior.
2. For seasonal bundles, specify: "Create bundles specifically for [holiday/season] gift-giving."
3. For online stores, add: "Include upsell popup copy and email subject lines for each bundle."

What to Expect

8-10 specific bundle recommendations with pricing, margin analysis, and buyer profiles, plus cross-sell pairs for checkout, and an A/B testing plan. Typically increases average basket size by 10-20% when implemented well.

23. Training Scenarios for Store Employees

Staff turnover in retail is high, and training new employees takes time and resources. This prompt generates ready-to-use training materials - role-play scenarios with realistic situations, a product quiz, and a quick reference guide that new employees can use from day one.

Complexity: Beginner | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a retail training specialist.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain are we creating training materials for?
2. Which department in the store is the training for?
3. Which product line will the new employee work with?

Once you have all the answers, create a training kit for a new employee.

## Output format

1. **Three role-play scripts**
   - Scenario 1: Customer with a specific need - help them choose the right product
   - Scenario 2: Dissatisfied customer - handling a complaint and offering a solution
   - Scenario 3: Hesitant customer - upselling techniques without pressure
   - For each scenario: customer lines, sample employee responses, what NOT to do

2. **Product quiz (10 questions)**
   - 5 questions on features and benefits of the specified product line
   - 3 questions comparing with competitor products
   - 2 situational questions ("What would you recommend if the customer...")
   - Include correct answers with brief explanations

3. **Cheat sheet**
   - Top 5 products in the category with key selling points
   - Most common customer questions with answers
   - Phrases for upselling and cross-selling

Tone: friendly, practical, free of corporate jargon.

Respond in English.

How to Adapt

1. Add your store's actual policies (warranty, returns, loyalty program) to make the scenarios as realistic as possible.
2. Generate a separate set for each department or product line - start a new conversation for each.
3. After generation, review the scenarios with an experienced employee - they know the real situations best.

What to Expect

A training materials package with three role-play scenarios (10-15 lines each), a quiz with 10 questions and answers, and a one-page cheat sheet. Suitable for onboarding a new employee or refreshing the skills of an experienced team.

24. Onboarding Checklist Generator

The first week determines whether a new hire stays or starts looking elsewhere. This prompt creates a role-specific onboarding checklist that ensures nothing falls through the cracks - from system access to the first customer interaction.

Complexity: Beginner | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are an HR specialist and training manager in retail.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain is the checklist for?
2. What is the new employee's role (sales associate, cashier, warehouse staff, manager)?
3. Which systems and equipment must they master (cash register, POS system, warehouse software, label printer)?
4. Who are the key people they need to meet during the first week?
5. Are there specific occupational health & safety or hygiene requirements?

Once you have all the answers, create a detailed first-week checklist.

## Output format

**Day 1: Welcome and orientation**
- [ ] Administrative tasks (documents, badge, uniform)
- [ ] Store tour with zone walkthrough
- [ ] Meeting with the direct manager and buddy
- [ ] Occupational health & safety induction

**Day 2: Systems and processes**
- [ ] POS/register training
- [ ] Familiarization with internal communication channels
- [ ] Core procedures: opening, closing, stocktake

**Day 3: Products and service**
- [ ] Training on the main product line
- [ ] Shadowing an experienced colleague during service
- [ ] Familiarization with the returns and complaints policy

**Day 4: Practice**
- [ ] First independent service under supervision
- [ ] Cash register exercise (real transactions)
- [ ] Product quiz (short)

**Day 5: Feedback**
- [ ] Wrap-up meeting with the manager
- [ ] Self-assessment: what I understood, what I have questions about
- [ ] Plan for the following week

For each item: responsible person and approximate time.

Respond in English.

How to Adapt

1. For part-time employees, compress the 5-day plan into 3 days or spread it over 2 weeks with shorter daily sessions.
2. For seasonal hires (e.g. Christmas temp staff), focus on Day 1-2 essentials only and skip advanced training.
3. Print the checklist and have both the new employee and the buddy sign off each item as it is completed.

What to Expect

A day-by-day onboarding checklist with specific tasks, responsible persons, and time estimates for the entire first week. Reduces onboarding time by 30-40% and ensures consistent quality across new hires.

25. Product Knowledge Assessment

Sales staff who know their products sell more confidently and effectively. This prompt builds tailored knowledge assessments for specific product lines, testing both factual knowledge and the ability to translate features into customer benefits.

Complexity: Beginner | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a product trainer at a retail chain.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store and department is the test for?
2. Which product line or brand are we assessing (e.g., Samsung TVs, organic cosmetics, sportswear)?
3. What is the staff level — new or experienced?
4. Paste specifications or catalog information for the main products (if available).

Once you have all the answers, create a product knowledge test.

## Output format

1. **Section A: Factual knowledge (10 questions)**
   - 5 multiple-choice questions (4 options, 1 correct)
   - 3 true/false statements
   - 2 fill-in-the-blank: "Product X differs from Y in..."
   - Correct answers with brief explanations

2. **Section B: Practical application (5 situations)**
   - "Customer asks: ... What would you respond?"
   - "Customer is comparing two products. Explain the difference."
   - "Customer says it's expensive. How do you present the value?"
   - Sample answers with evaluation criteria

3. **Section C: Cross-selling (3 questions)**
   - "Customer is buying X. What would you recommend in addition?"
   - For each: correct answer + explanation of why the pairing works

4. **Scoring**
   - Maximum points and the minimum "pass" threshold
   - Recommendations for low scores: what to revisit

Respond in English.

How to Adapt

1. Use actual product catalogs and spec sheets as input data - the more specific the information, the more relevant the test questions.
2. Create separate tests per product category and rotate them monthly to maintain ongoing learning.
3. For experienced staff, skip Section A and focus on Sections B and C (practical application and cross-selling).

What to Expect

An 18-question assessment with factual, situational, and cross-selling components, plus a scoring rubric. Takes 15-20 minutes to complete. Identifies specific knowledge gaps that targeted training can address.

26. Customer Complaint Handling Scripts

Difficult customer interactions are the most stressful part of retail work and the number one reason for employee burnout. This prompt generates detailed scripts for common complaint scenarios, giving staff confidence and consistent language for challenging situations.

Complexity: Beginner | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a retail customer service trainer with experience in conflict management.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain are the scripts for?
2. What is the store type (grocery, apparel, electronics, other)?
3. What are the most common complaints you receive from customers?
4. What is your return, exchange, and compensation policy?
5. Are there things employees are NOT authorized to do (e.g., give a discount above 10%)?

Once you have all the answers, create complaint-handling scripts.

## Output format

Generate 5 scripts for different situations:

For each script:
- **Situation**: 2-sentence description
- **Step 1: Listen** — active-listening phrases
- **Step 2: Apologize** — without admitting fault (if unclear)
- **Step 3: Resolve** — concrete proposed solution
- **Step 4: Verify** — confirmation that the customer is satisfied
- **Step 5: Record** — what the employee should document

Situations:
1. Defective product within warranty
2. Rude service from another colleague
3. Price discrepancy at the register
4. Delayed online order (for stores with e-commerce)
5. Customer wants something you cannot provide

**Bonus**: A list of 10 phrases to AVOID (e.g., "That's not my job") and their alternatives.

Respond in English.

How to Adapt

1. Replace the generic scenarios with your actual top 5 complaint types - pull them from your feedback system or customer service log.
2. For phone/chat support, ask: "Adapt the scripts for phone conversations - add opening and closing phrases."
3. Laminate the "10 phrases to avoid" list and post it in the break room - it is the single most impactful piece.

What to Expect

Five structured complaint-handling scripts with step-by-step phrases, plus a "do/don't say" reference list. Each script takes 2-3 minutes to read and practice. Reduces escalations and improves customer satisfaction scores.

27. Performance Review Preparation

Performance reviews in retail are often skipped or reduced to a 5-minute chat because managers lack preparation time. This prompt generates structured review documents with specific retail KPIs, behavioral observations, and development goals.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are an HR manager experienced in retail performance reviews.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain is the review for?
2. What is the role of the reviewed employee and how long have they been in that role?
3. What KPIs do you use for this role (sales, conversion, average basket, complaints, absences)?
4. What are the employee's numeric results for the period (provide data)?
5. Are there specific observations — positive incidents or areas for improvement?
6. What development opportunities exist in the company (promotion, new role, training)?

Once you have all the answers, prepare the performance review document.

## Output format

1. **Overall rating**
   - Result: Above expectations / Meets expectations / Below expectations
   - 2-3 sentence summary

2. **KPI analysis** — table:
   | KPI | Target | Result | Trend (↑↓→) | Comment |

3. **Strengths** (3 points)
   - Specific description with an example for each

4. **Areas for improvement** (2-3 points)
   - Specific description + proposed action

5. **Development plan (next 3 months)**
   - 2-3 goals with success metrics
   - Resources/training needed
   - Date for the next review

6. **Conversation questions**
   - 5 open-ended questions for the 1:1 meeting

Tone: constructive, specific, development-oriented.

Respond in English.

How to Adapt

1. For cashiers, focus KPIs on speed, accuracy, and customer interaction scores. For sales consultants, focus on conversion rate and average basket.
2. Always anonymize the document before using AI - use the role title, not the employee's name, while generating.
3. Generate the self-assessment form separately: ask the AI to "Create a self-assessment questionnaire for the employee to fill before the review meeting."

What to Expect

A complete performance review document with KPI table, strengths, improvement areas, a 3-month development plan, and conversation questions for the 1:1 meeting. Saves managers 45-60 minutes of preparation time per review.

28. Visual Merchandising and Store Layout Planning

Visual merchandising directly impacts the average basket value and time spent in the store. But most small stores do not have a dedicated merchandiser. This prompt generates a plan for themed displays, an optimal customer route, and cross-merchandising combinations - based on your sales data and the season.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a visual merchandiser with retail experience.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store are we developing the merchandising plan for?
2. What is the store's floor area (in sqm)?
3. Which season or campaign is the plan for (e.g., spring-summer, Easter, Back to school)?
4. What are the top 10 products by sales?
5. What is the average visit duration (in minutes) and the average basket size (in BGN)?

Once you have all the answers, develop a visual merchandising plan.

## Output format

1. **Customer Flow analysis**
   - Suggest the optimal route for movement through the store
   - Identify "hot zones" (entrance, checkout, end of aisles) and what to place there
   - Suggest "decompression zones" and their contents

2. **Planograms and themed zones**
   - Propose 3-4 themed displays for the specified season
   - For each display: theme, products, color scheme, props
   - Shelf height rule: eye-level = buy-level

3. **Cross-merchandising opportunities**
   - 5 product combinations from different categories that complement each other
   - Suggest how to present them together (endcap, island display, baskets near the checkout)

4. **Window and entrance zone**
   - Window concept: theme, key products, message
   - Entrance zone: the first 5 meters - what the customer sees
   - Signage and price tags: font, size, placement

5. **Success metrics**
   - What to measure: conversion rate, average basket, sales per sqm
   - How to test: A/B layout of 2 displays for 2 weeks

Respond in English.

How to Adapt

1. Prepare a list of your top 10 products by revenue - the AI will ask for it.
2. If you have a store floor plan (sketch or photo), describe it in text when answering for more specific recommendations.
3. For more accurate results, also include data on average basket size and visit frequency.

What to Expect

A comprehensive visual merchandising plan with customer route suggestions, 3-4 themed displays with color schemes and props, 5 cross-merchandising combinations, and metrics for measuring results. Suitable for seasonal store refreshes.

29. Window Display Concept

Your window display is the first interaction with every passerby. This prompt creates detailed seasonal window display concepts with visual direction, product placement, and a narrative that draws foot traffic into the store.

Complexity: Beginner | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a visual merchandiser specializing in window display design.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store is the window display for and what is the location (shopping street, mall, neighborhood)?
2. What are the window dimensions (width × height × depth)?
3. Which season or occasion is the concept for?
4. Which products do you want to showcase (3-5 key items)?
5. What is the decoration budget (low — using on-hand materials, medium, high)?

Once you have all the answers, create a window display concept.

## Output format

1. **Concept**
   - Theme: short 1-sentence description
   - Mood: 3 words (e.g., "fresh, minimalist, bright")
   - Color palette: primary color + 2 accent colors

2. **Composition**
   - Focal point: which product and at what height
   - Left, center, right: what goes where
   - Background: color, material, texture
   - Floor area: what is on the window floor

3. **Props and materials**
   - List of required materials with approximate cost
   - DIY alternatives for low budget
   - Lighting: type, position, color temperature

4. **Text elements**
   - Main message (up to 5 words, readable from 3 meters)
   - Price tags: size, position
   - QR code for the online collection (yes/no)

5. **Schedule**
   - When to install and when to swap out
   - Maintenance: how often to refresh elements

Respond in English.

How to Adapt

1. Take a photo of your current window display and describe it when answering - the AI can suggest improvements rather than starting from zero.
2. For budget-friendly options, specify: "The entire decoration budget is under 100 lv. Suggest DIY and recycled materials."
3. For chain stores, add: "The concept must be replicable across 5 locations with minimal customization."

What to Expect

A complete window display concept with composition layout, materials list with budget estimates, text elements, and a maintenance schedule. Clear enough for any team member to execute without a professional designer.

30. Endcap and POS Display Planner

Endcaps and point-of-sale displays generate 2-5x the sales of standard shelf placement. This prompt plans high-impact promotional displays for the most valuable real estate in your store - aisle ends and the checkout zone.

Complexity: Beginner | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a merchandising specialist focused on in-store promotional displays.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store are we planning for and what is the format (supermarket, pharmacy, apparel, electronics)?
2. How many endcap positions and POS displays do you have?
3. What promotions are running or coming up?
4. Which products generate the most impulse purchases?
5. What is the average daily traffic and what percentage of customers pass by the checkout?

Once you have all the answers, create a promotional display plan.

## Output format

1. **Endcap plan** — for each position:
   - Location: between which aisles
   - Product(s): what and why
   - Visuals: color, signs, price tag
   - Rotation: how many days before swap

2. **POS zone (checkout)**
   - Impulse-purchase products (5-8 items)
   - Layout: left/right of the register, at hand level
   - Sign or sticker: text (up to 5 words)

3. **Rotation schedule** — 4-week:
   | Week | Endcap 1 | Endcap 2 | POS theme |
   - Tied to promotions from the promotional calendar

4. **Success rules**
   - Maximum 3 items per endcap (focus > clutter)
   - Price tag visible from 2+ meters away
   - Restocking: twice a day for fast movers

Respond in English.

How to Adapt

1. For grocery stores, rotate endcaps weekly and align with the weekly flyer. For fashion stores, rotate every 2-3 weeks with new arrivals.
2. Track endcap performance: ask the AI to "Add a tracking sheet where staff record daily units sold from each display position."
3. For supplier-funded displays, add: "Include a co-op merchandising request template for suppliers."

What to Expect

A specific plan for each endcap and POS position with product assignments, visual guidelines, and a 4-week rotation schedule. Typically increases featured product sales by 200-400% compared to standard shelf placement.

31. Store Renovation Brief

Store renovations often go over budget and behind schedule because the brief is vague. This prompt prepares a structured renovation brief with zones, customer flow, fixture specifications, and a phased implementation plan - ready to hand to a contractor or interior designer.

Complexity: Advanced | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a retail design consultant with experience in the Bulgarian market.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store is the renovation for and what is the current state?
2. What is the area (sqm) and the layout (rectangular, L-shaped, two levels)?
3. What is the budget and the deadline?
4. What problems are we solving with the renovation (dated look, poor flow, inefficient shelving, lighting)?
5. What image do you want to achieve (modern, warm, minimalist, family-friendly)?
6. Will the store stay open during the renovation or close?

Once you have all the answers, create a store renovation brief.

## Output format

1. **Zoning**
   - Zone map: entrance, main retail area, storage, checkout, fitting rooms (if applicable)
   - For each zone: purpose, area, priority

2. **Customer route**
   - Description of the optimal path from entrance to checkout
   - Focal points: 3-4 key attention-grabbing spots
   - Pace: zones for fast vs. slow movement

3. **Furniture and equipment**
   - Type of shelving, gondolas, tables for each zone
   - Lighting: type, color temperature (3000K-4000K), position
   - Checkout zone: number of registers, self-checkout (yes/no), impulse zone

4. **Materials and color palette**
   - Floor coverings, walls, ceiling
   - Color palette: primary + accent colors
   - Signage system: navigation, pricing, promotional

5. **Phasing (if the store stays open)**
   - Phase 1: ... (weeks 1-2)
   - Phase 2: ... (weeks 3-4)
   - Minimal disruption to business

6. **Budget framework**
   - Breakdown by category: furniture, lighting, flooring, walls, signage
   - Priority: what is critical vs. what can wait

Respond in English.

How to Adapt

1. If you have a floor plan (even a hand-drawn sketch), describe it in detail when answering question 2 for much more specific zone recommendations.
2. For renovations during business hours, emphasize: "Noise-sensitive work must happen before opening or after closing."
3. Use this brief as a starting point for conversations with 2-3 contractors to get comparable quotes.

What to Expect

A comprehensive renovation brief with zone mapping, customer flow design, fixture specifications, material palette, phased implementation, and budget breakdown. Suitable to hand directly to a contractor or interior designer for quoting.

32. Digital Signage Content Planner

In-store digital screens are only as effective as their content. Too many stores display static slides that customers ignore. This prompt plans a dynamic content rotation with promotions, brand storytelling, and call-to-action sequences optimized for dwell time.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a digital signage and in-store marketing communications specialist.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain is the plan for?
2. How many screens do you have, where are they placed (entrance, checkout, department, window) and what is their size?
3. What is the average visit duration?
4. What current promotions and campaigns do you have?
5. Do you have a loyalty program or mobile app to promote?

Once you have all the answers, create a digital signage content plan.

## Output format

1. **Strategy by position**
   - Entrance: type of content, rotation duration
   - Department: product-specific messages
   - Checkout: promotions, loyalty program, short entertainment
   - For each: optimal slide duration (5-10 sec)

2. **Content mix**
   - 40% promotions and offers
   - 25% product information and tips
   - 20% brand story and values
   - 15% call-to-action (app, loyalty program, social media)

3. **Slide templates** (copy for 8-10 slides)
   For each slide:
   - Headline (up to 5 words, readable from 3m)
   - Subtext (up to 10 words)
   - CTA (if applicable)
   - Visual direction: what image, what background

4. **Rotation schedule**
   - Morning (before noon): focus on...
   - Afternoon: focus on...
   - Weekend: focus on...

5. **Refresh cadence**
   - Which content changes weekly, monthly, evergreen

Respond in English.

How to Adapt

1. If your screens are near the checkout with long wait times, prioritize entertaining and educational content to reduce perceived wait time.
2. For screens visible from outside (window displays), add: "Include weather-triggered content suggestions" (e.g. rainy day = hot drinks promotion).
3. If you use a digital signage platform (ScreenCloud, Yodeck), specify it so the AI can suggest compatible content formats.

What to Expect

A position-specific content strategy with content mix ratios, 8-10 ready-to-design slide templates with copy, a daypart rotation schedule, and refresh guidelines. Transforms digital screens from wallpaper into a revenue-generating channel.

33. FAQ and Knowledge Base Generator

Customer service teams answer the same questions repeatedly. This prompt builds a comprehensive knowledge base from your common customer inquiries, structured for both self-service (website FAQ) and internal agent reference.

Complexity: Beginner | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a customer service and knowledge management specialist in retail.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain are we creating the FAQ base for?
2. What are the top 20 questions customers ask (by phone, email, chat, in-store)?
3. What are your main policies — delivery, returns, warranty, payment?
4. Do you have an online store, mobile app, or loyalty program?

Once you have all the answers, create a structured FAQ and knowledge base.

## Output format

1. **Website FAQ** — grouped by topic:
   - Orders and payment (5-7 questions)
   - Delivery and receipt (4-6 questions)
   - Returns and complaints (4-6 questions)
   - Products and availability (3-5 questions)
   - Loyalty program (2-4 questions)

   For each: Q/A format, 2-4 sentence answer, link to a detailed page (placeholder)

2. **Internal knowledge base** — for staff:
   - The same questions, but with more detailed answers
   - Includes: step-by-step procedure, when to escalate, contact person
   - "If the customer insists..." — additional guidance

3. **Quick Response templates** — 5 ready-to-use email/chat replies:
   - Order confirmation
   - Delivery status
   - Approved complaint
   - Declined complaint (tactful)
   - Thanks for feedback

Respond in English.

How to Adapt

1. Pull your actual top questions from your customer service inbox, chat logs, or call center notes - real questions produce a more useful FAQ.
2. For seasonal businesses, add: "Include a section for seasonal questions (gift wrapping, holiday delivery deadlines, return extensions)."
3. Update the knowledge base monthly by asking: "Here are 10 new questions we received this month. Add them to the existing FAQ."

What to Expect

A dual-purpose FAQ: a customer-facing version with 20-30 clean Q&A pairs and an internal version with escalation procedures and detailed process steps, plus 5 ready-to-send email templates. Reduces response time by 50% and ensures consistency across agents.

34. Chatbot Conversation Script

Chatbots handle 60-70% of routine customer inquiries when properly scripted. This prompt designs conversation flows for the most common retail scenarios, with natural language, fallback responses, and human handoff triggers.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a UX designer specializing in chatbot conversations for e-commerce.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or online platform is the chatbot for?
2. What are the top 5 reasons customers write in chat?
3. What is the brand tone — formal, friendly, youthful?
4. When should the chatbot hand off to a live agent?
5. What data can the chatbot access (order status, availability, customer account)?

Once you have all the answers, create chatbot scripts.

## Output format

For each of the 5 main scenarios:

**Scenario: [Name]**
- **Trigger**: what the customer says to activate the scenario
- **Step 1**: Bot responds + asks a clarifying question
- **Step 2**: Bot processes the answer
- **Step 3**: Bot provides a solution or information
- **Fallback**: what the bot says if it doesn't understand
- **Escalation**: when to hand off to a human and what to say

Additionally:
- **Greeting**: 3 variants of the opening message (by time of day)
- **Outside business hours**: message + contact form
- **Error/misunderstanding**: 3 different fallback replies (no repetition)
- **End of conversation**: thanks + invitation for feedback

Format: dialog flowchart style — a clear sequence of messages and branches.

Respond in English.

How to Adapt

1. If you already use a chatbot platform (Tidio, Zendesk, Intercom), specify it so the AI can format the scripts for that platform's flow builder.
2. Add personality to your bot: "The chatbot's name is [X] and it uses casual Bulgarian with occasional emoji."
3. Test the scripts with 5 real customer scenarios before deploying - edge cases always surface in testing.

What to Expect

Conversation scripts for 5 core scenarios with branching logic, fallback responses, escalation triggers, and greeting/closing messages. Formatted as dialog flows ready to implement in any chatbot platform.

35. Return and Exchange Policy Optimizer

A generous but clear return policy increases purchase confidence, while a confusing one generates complaints and returns abuse. This prompt reviews your current policy, benchmarks against best practices, and rewrites it for clarity and customer trust.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are an expert in customer policies and legal requirements for retail in Bulgaria.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain are we optimizing the policy for?
2. What is your current return and exchange policy (paste the text if available)?
3. What are the most common issues — abuse, confusion, complaints?
4. Do you sell online (different policy under the Bulgarian Consumer Protection Act for distance sales)?
5. What product categories do you sell and are there any that are NOT eligible for return?

Once you have all the answers, optimize the return policy.

## Output format

1. **Current policy review**
   - What works well
   - What is unclear or problematic
   - Compliance with the Bulgarian Consumer Protection Act (ЗЗП)

2. **Optimized policy** — ready to publish:
   - **Terms**: timeframe, product condition, required documents
   - **Step-by-step procedure**: what the customer does
   - **Exceptions**: which goods are not eligible for return and why
   - **Online orders**: 14-day right of withdrawal under ЗЗП, procedure
   - **Defective goods**: difference between warranty and right of withdrawal

3. **Communication materials**
   - In-store sign (50-80 words, large font)
   - Website copy (200-300 words)
   - Short version for the receipt (2 sentences)

4. **Staff FAQ**
   - 5 situations with the correct response

Respond in English.

How to Adapt

1. Always have a lawyer review the final version for compliance with ЗЗП, especially the online return policy (14-day right of withdrawal).
2. If you sell food, cosmetics, or other regulated goods, specify the categories - return rules differ significantly.
3. A/B test generous vs. standard return windows: research shows that longer return periods actually reduce returns.

What to Expect

An audit of your current policy, a rewritten policy ready for website and in-store display, communication materials in three formats (sign, web, receipt), and a staff FAQ. Covers both in-store and online sales in compliance with Bulgarian consumer law.

36. Customer Complaint Analysis and Resolution

Individual complaints are symptoms; patterns are the disease. This prompt systematizes complaint data into actionable categories, identifies root causes, and creates resolution protocols that reduce recurrence rather than just addressing symptoms.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a quality and customer complaints manager at a retail chain.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain are we analyzing complaints for?
2. What period does the data cover?
3. Paste the complaints — for each: date, channel (store, phone, email, social), description, outcome.
4. Is there existing categorization or is everything in free text?
5. What is the average response and resolution time for a complaint?

Once you have all the answers, analyze and propose systemic improvements.

## Output format

1. **Complaint categorization** — table:
   | Category | Count | % of total | Average SLA | Trend (↑↓→) |
   - Product quality
   - Service
   - Delivery
   - Pricing errors
   - Other

2. **Root Cause analysis** for the top 3 categories
   - What happens → Why it happens → What prevents it
   - 5 Whys for each main category

3. **Resolution protocols** — for each category:
   - Step 1-5 for standard resolution
   - When and how to escalate
   - Compensation: what and up to what amount

4. **Improvement KPIs**
   - First Response Time (target: < X hours)
   - Resolution Time (target: < X days)
   - Post-resolution Customer Satisfaction (target: > X%)
   - Repeat Complaint Rate (target: < X%)

5. **Monthly report template** — structure for ongoing tracking

Respond in English.

How to Adapt

1. Export complaint data from your CRM, email, or feedback platform. Even a simple spreadsheet with date, channel, and description is sufficient.
2. For multi-location chains, add location as a column to identify store-specific vs. systemic issues.
3. Run this quarterly and compare the category distribution - the goal is to see the top categories shrink over time.

What to Expect

A categorized complaint analysis with root cause investigation, resolution protocols per category, measurable improvement targets, and a monthly reporting template. Shifts your complaint handling from reactive to preventive.

37. VIP Customer Care Protocol

The top 10-20% of customers generate 50-80% of revenue. This prompt designs a premium customer care program that identifies, rewards, and retains your most valuable shoppers with personalized service that keeps them coming back.

Complexity: Advanced | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a CRM strategist specializing in VIP customer management in retail.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain are we designing a VIP program for?
2. What is your customer profile — average purchase value, frequency, categories?
3. How do you currently define "VIP" — by revenue, frequency, or another criterion?
4. What technologies do you have (CRM, POS with customer database, email, SMS)?
5. What budget would you allocate for VIP care (as % of VIP segment revenue)?
6. Do you have examples of personalized service that already work?

Once you have all the answers, design the VIP customer care program.

## Output format

1. **VIP definition**
   - Criteria: minimum revenue/frequency to qualify
   - How many customers fall into the segment (% of base)
   - Expected revenue from the segment (% of total)

2. **VIP service tiers** (2-3 tiers)
   For each tier:
   - Entry threshold
   - Privileges: priority service, early access, free delivery, personal consultant
   - Communication: frequency and channel

3. **Personalized touchpoints**
   - Birthday: what the customer receives
   - First-purchase anniversary
   - Seasonal preview: early access before the general public
   - Personal recommendations: based on purchase history

4. **Operational model**
   - Who manages the VIP program (role, hours per week)
   - Process: how a new VIP is identified, who contacts them, what is said
   - Technology: what is automated, what is manual

5. **ROI model**
   - VIP care cost per customer/month
   - Expected increase in retention and share of wallet
   - Break-even: how many months

Respond in English.

How to Adapt

1. If you don't have CRM data, start with a simpler version: "Design a VIP program that works with just a POS system and a phone number."
2. For luxury retail, emphasize exclusivity and experiences over discounts. For mass retail, emphasize convenience and early access.
3. Test with your top 20 customers first - personal outreach to gauge interest before launching broadly.

What to Expect

A complete VIP care program with qualification criteria, tier structure, personalized touchpoints, an operational model, and ROI projections. Designed to increase retention of your most valuable customers by 15-25%.

38. Social Media Content Calendar

Consistency wins on social media, but most retail businesses post sporadically when inspiration strikes. This prompt creates a month-long content calendar with themes, post types, captions, and hashtags for each platform.

Complexity: Beginner | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a social media manager for retail brands in the Bulgarian market.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain are we planning content for?
2. Which platforms are you active on (Instagram, Facebook, TikTok)?
3. How many times per week do you currently post and what is your target?
4. What upcoming promotions, events, or new products do you have for next month?
5. What tone do you use — formal, youthful, friendly, humorous?
6. What is your current engagement rate, and which posts perform best?

Once you have all the answers, create a monthly content plan.

## Output format

1. **Monthly calendar** — table:
   | Date | Platform | Post type | Theme | Copy (first 2 sentences) | Hashtags | Visual direction |
   - 3-5 posts per week
   - Variety: product post, behind the scenes, customer story, tip, promotion

2. **Content mix**
   - 40% value content (tips, how-to, useful information)
   - 30% product (new arrivals, bestsellers, outfit/decor ideas)
   - 20% promotional (offers, discounts, contests)
   - 10% brand (team, values, behind the scenes)

3. **Full copy for 4 key posts**
   - 1 product post (with carousel structure for Instagram)
   - 1 Reel/TikTok script (15-30 seconds)
   - 1 Stories series (5 slides)
   - 1 engagement post (question, poll, "which would you choose")

4. **Hashtag strategy**
   - 10 brand-specific hashtags
   - 10 niche hashtags for your category
   - 5 trending/seasonal hashtags

Respond in English.

How to Adapt

1. For Instagram-heavy strategies, ask the AI to "Add a Reels idea for each week with a trending audio concept."
2. Batch-create content: generate 2 months at once and adjust the second month based on what performs well in the first.
3. For local businesses, include location-specific hashtags and "day in the life at [store name]" content.

What to Expect

A 4-week content calendar with 12-20 planned posts, complete copy for 4 key pieces, a hashtag strategy, and content mix guidelines. Saves 4-6 hours of weekly content planning.

39. Email Marketing Campaign

Email remains the highest-ROI marketing channel for retail at 36:1 return on investment. This prompt designs segmented email campaigns with subject lines, body copy, and send-time recommendations optimized for the Bulgarian market.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are an email marketing specialist for retail and e-commerce.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or online brand is the campaign for?
2. What is the occasion — new collection, promotion, seasonal sale, newsletter?
3. What is your email list size (approximate subscriber count) and do you have segmentation?
4. What is the average open rate and click rate of your past emails?
5. What is the main CTA — purchase, store visit, sign-up?

Once you have all the answers, create the email marketing campaign.

## Output format

1. **Campaign strategy**
   - Goal: a specific metric (e.g., +15% open rate, +10% conversions)
   - Audience: who gets which email
   - Series: single email or a series of 3

2. **For each email in the series:**
   - **Subject line**: 3 A/B test variants (up to 50 characters)
   - **Preview text**: up to 90 characters
   - **Structure**:
     - Header: visual direction
     - Heading + subheading
     - Body: 80-120 words
     - Product block: 2-4 items with prices
     - CTA button: text + color
     - Footer: social links, unsubscribe
   - **Timing**: day of week + send hour
   - **Segment**: to whom specifically

3. **Automations** (if you have the capability):
   - Welcome series for new subscribers (3 emails)
   - Abandoned cart — 1 email
   - Re-engagement for inactive (90+ days without purchase)

4. **Success metrics**
   - Targets: open rate, click rate, conversion rate, revenue per email
   - When to stop the campaign if it isn't working

Respond in English.

How to Adapt

1. For Mailchimp, Brevo, or your specific email platform, specify it so the AI can include platform-specific tips (merge tags, conditional content).
2. For GDPR compliance, ensure your email includes: visible unsubscribe link, company address, and reason for receiving the email.
3. Test subject lines first: send variant A to 15% and variant B to 15%, then send the winner to the remaining 70%.

What to Expect

A complete email campaign with strategy, 3 A/B-tested subject lines per email, full copy, send-time recommendations, automation flows, and success metrics. Ready to implement in any email marketing platform.

40. Google My Business Profile Optimizer

Your Google Business Profile is often the first thing customers see - and 70% of consumers say it influences their decision to visit. This prompt audits and optimizes your profile for local search visibility, customer engagement, and conversion.

Complexity: Beginner | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are an expert in local SEO and Google Business Profile optimization.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. What is the store's name and which city/neighborhood is it in?
2. What is the main business category and are there additional categories?
3. What is the current profile description (if available — paste it)?
4. What are the business hours and are there special hours (holidays, seasonal changes)?
5. What products or services do you offer that customers search for most often?

Once you have all the answers, optimize the Google Business Profile.

## Output format

1. **Optimized description** — 750 characters max.
   - First sentence: what the store is and what it offers
   - Keywords: 5-7, woven in naturally
   - Include: location, unique advantages, CTA

2. **Categories**
   - Primary category: the most precise
   - Additional (up to 9): ordered by relevance

3. **Attributes** — which to enable:
   - Payment methods, accessibility, parking, Wi-Fi, etc.

4. **Products/Services** — menu structure:
   - 3-5 categories with descriptions (up to 1000 characters each)

5. **Posts** — 4 templates:
   - Promotion: heading + copy + CTA button
   - Event: date + description
   - New product: copy + visual direction
   - Information: "Did you know that..."

6. **Q&A section** — 5 self-seeded questions
   - Phrased from the customer's perspective

7. **Review strategy**
   - How to ask for reviews (without violating Google's rules)
   - Invitation text (SMS, email, QR code)

Respond in English.

How to Adapt

1. For multi-location businesses, generate profiles for each location with location-specific descriptions and Q&A.
2. Post weekly on Google Business - it improves local ranking. Ask the AI to generate 4 posts per month as part of your content calendar.
3. Add photos: Google says profiles with photos receive 42% more requests for directions - include a photo checklist in your optimization plan.

What to Expect

A fully optimized Google Business Profile with keyword-rich description, category structure, product listings, 4 post templates, self-seeded Q&A, and a review generation strategy. Improves local search visibility within 2-4 weeks.

41. Seasonal Campaign Brief

Seasonal campaigns need coordination across channels, teams, and timelines. This prompt creates a comprehensive campaign brief that aligns everyone from the buyer to the social media manager around a single strategic direction.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a retail marketing strategist with campaign experience in the Bulgarian market.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain is the campaign for?
2. What is the occasion (Easter, March 8, summer holidays, Black Friday, Christmas)?
3. What is the budget (total, excluding cost of goods)?
4. Which channels will you use (store, online, email, social, paid ads)?
5. What are the goals — revenue growth (%), new customers, stock clearance?
6. What are the dates — campaign start and end?

Once you have all the answers, create a campaign brief.

## Output format

1. **Executive Summary** — 5-6 sentences: what, why, when, for whom

2. **Strategic framework**
   - Goal: SMART formulation
   - Target audience: profile of the ideal customer for this campaign
   - Core message: 1 sentence
   - Tone: 3 words

3. **Channel strategy** — for each channel:
   | Channel | Role | Budget (%) | Key KPI | Timing |
   - In-store: window, displays, staff training
   - Online: landing page, banners, UX
   - Email: a series of 2-3 emails
   - Social media: number of posts, themes
   - Paid ads: platform, targeting

4. **Timeline**
   - T-2 weeks: preparation
   - Launch: launch communication
   - Mid-campaign: boost
   - Finale: final push + extension?
   - T+1 week: analysis

5. **Budget breakdown** — by channel and by week

6. **Success metrics** — dashboard with 5-7 KPIs

Respond in English.

How to Adapt

1. For Black Friday campaigns, compress the timeline and add: "Include a pre-Black Friday teaser strategy starting 1 week before."
2. For multi-location chains, add: "Include location-specific elements - each store can have a local twist within the national campaign."
3. Use this brief as the starting document for a kickoff meeting - print one copy per team member and assign tasks on the spot.

What to Expect

A comprehensive campaign brief with strategic framework, channel strategy with budget allocation, a week-by-week timeline, and measurable success criteria. Serves as the single source of truth for everyone involved in the campaign.

42. Influencer Collaboration Brief

Influencer partnerships can drive significant traffic and sales, but only when the brief is clear. This prompt creates a professional collaboration proposal that sets expectations, deliverables, and measurement criteria upfront.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are an influencer marketing specialist in the retail sector.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or brand is the collaboration for?
2. What is the goal — awareness, traffic to the store/site, direct sales?
3. What is the influencer marketing budget?
4. What type of influencer are you looking for (nano <5K, micro 5-50K, mid 50-200K, macro 200K+)?
5. What products or offers will they promote?
6. Which platform is the focus (Instagram, TikTok, YouTube)?

Once you have all the answers, create an influencer collaboration brief.

## Output format

1. **Ideal influencer profile**
   - Platform, follower count, engagement rate (minimum)
   - Niche: lifestyle, fashion, food, family, fitness
   - Audience: age, gender, location
   - Red flags: what to avoid

2. **Brief to send** — ready document:
   - About the brand: 3-4 sentences
   - Proposal: what you offer (product, fee, affiliate code)
   - Expectations: what the influencer should do
   - Deliverables: number of posts, stories, reels + deadlines
   - Key messages: 2-3 that must be included
   - Restrictions: what NOT to say or do

3. **Contract points**
   - Content usage rights (for how long, for which channels)
   - Approval: brand approves before publishing (yes/no)
   - Payment: terms and timelines
   - #ad / #реклама labeling (mandatory under Bulgarian Consumer Protection law)

4. **Measurement**
   - KPIs: impressions, engagement, link clicks, conversions, CPE (cost per engagement)
   - Tracking: UTM link, promo code, affiliate platform
   - Report: what you expect from the influencer after the campaign

Respond in English.

How to Adapt

1. For nano/micro influencers, product gifting is often enough - no cash payment. Specify this in the brief.
2. For ongoing partnerships (not one-off), add: "Include a quarterly ambassador program structure with escalating benefits."
3. Always require #ad or #реклама marking - it is legally required in Bulgaria under the Law on Consumer Protection (ЗЗК) and builds trust.

What to Expect

A complete influencer collaboration kit: ideal profile definition, a professional pitch document ready to send, contractual terms checklist, and measurement framework. Saves the back-and-forth of undefined expectations.

43. Local Area Marketing Plan

Retail is local, but most marketing plans treat all locations the same. This prompt develops hyperlocal strategies for individual store locations, leveraging neighborhood demographics, nearby businesses, and community events to drive foot traffic.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a marketing consultant specializing in local area marketing (LAM) for retail locations.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store is the plan for — address, neighborhood/district, location type (shopping street, mall, residential)?
2. What is the catchment area — how many minutes on foot/by car are your customers?
3. What do you know about neighboring businesses (what shops, restaurants, offices are nearby)?
4. What are the neighborhood demographics (students, families, retirees, office workers)?
5. What local events or seasonal factors influence foot traffic (market, festival, school calendar)?
6. What is the monthly marketing budget for this location?

Once you have all the answers, create a local area marketing plan.

## Output format

1. **Location profile**
   - SWOT analysis: strengths, weaknesses, opportunities, threats
   - Main customer segment: demographic + behavioral profile
   - Peak traffic: days and hours

2. **Acquisition strategies**
   - Partnerships with local businesses (3-5 ideas)
   - Events in and around the store (2-3 ideas)
   - Flyers/business cards: where, when, what message
   - Local SEO: Google Business, local directories

3. **Retention strategies**
   - Neighborhood-specific promotions (e.g., "neighbor Friday")
   - Community board: supporting local initiatives
   - Loyalty program with a local twist

4. **Monthly budget** — allocation:
   | Activity | Budget | Expected result |

5. **3-month calendar**
   - 2-3 activities per month with specific dates and owners

6. **Measurement**
   - Foot traffic: how to track (manual/sensor/WiFi)
   - Conversion: number of transactions from LAM activities
   - ROI per activity

Respond in English.

How to Adapt

1. Walk around your store's neighborhood before answering the questions - note the types of businesses, foot traffic patterns, and potential partnership opportunities.
2. For chain stores, generate a separate LAM plan per location - generic national campaigns miss the local nuances that drive foot traffic.
3. For stores near schools or universities, include: "Add a student-specific strategy with timing around exam periods and semester starts."

What to Expect

A hyperlocal marketing plan with SWOT analysis, 5-8 specific acquisition and retention tactics, a budget-to-activity breakdown, and a 3-month implementation calendar. Ideal for store managers who need to drive local traffic without a big marketing budget.

44. Online Store UX Audit

Poor user experience is the invisible tax on your online store - you lose sales you never knew you could have had. This prompt evaluates your store's navigation, product pages, checkout flow, and mobile experience, producing a prioritized improvement plan.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a UX consultant specializing in e-commerce and conversion rate optimization (CRO).

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. What is the URL of the online store?
2. What platform do you use (Shopify, WooCommerce, Magento, custom)?
3. What is the current conversion rate and average order value?
4. Where does the traffic come from — organic, paid, social, direct?
5. What are the most common customer complaints about the website?
6. What devices do your customers shop on — desktop vs. mobile (ratio)?

Once you have all the answers, perform a UX audit of the online store.

## Output format

1. **Navigation and search**
   - Category structure: is it clear? Suggestions for improvement
   - Search: does it handle typos, synonyms?
   - Filters: are they sufficient, do they work correctly?
   - Score: 1-10

2. **Product page**
   - Photos: count, quality, zoom, video
   - Description: structure, SEO, scannability
   - Social proof: reviews, ratings, "bought X times"
   - CTA button: visibility, copy, position
   - Score: 1-10

3. **Cart and checkout**
   - Number of steps to complete an order
   - Guest checkout: is it possible?
   - Payment methods: card, cash on delivery, Apple/Google Pay
   - Trust signals: SSL, payment logos, guarantee
   - Score: 1-10

4. **Mobile experience**
   - Load speed (target: < 3 sec)
   - Touch-friendly elements
   - Mobile navigation
   - Score: 1-10

5. **Prioritized action plan**
   - Quick Wins (1-2 weeks): 3-5 fast improvements
   - Mid-term (1-3 months): 3-5 larger changes
   - Strategic (3-6 months): 2-3 fundamental changes
   - For each: expected effect on conversion rate

Respond in English.

How to Adapt

1. Provide screenshots of your product page, checkout, and mobile homepage for the AI to analyze visually (Claude and ChatGPT support image analysis).
2. If you have Google Analytics data, share the funnel report: how many users add to cart vs. how many complete checkout - this highlights the biggest drop-off.
3. For Shopify stores, add: "Suggest specific Shopify apps that address each issue."

What to Expect

A scored UX audit across 4 dimensions (navigation, product page, checkout, mobile), with a prioritized improvement plan sorted by effort-to-impact ratio. Quick wins typically improve conversion rate by 10-20% within 2-4 weeks.

45. Cart Abandonment Recovery Plan

On average, 70% of online shopping carts are abandoned before checkout. This prompt creates a multi-channel recovery strategy combining email sequences, retargeting, and on-site optimizations to recapture lost revenue.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a conversion rate optimization and email automation specialist for e-commerce.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which online store is the strategy for?
2. What is the current cart abandonment rate?
3. What payment methods do you offer (card, cash on delivery, PayPal)?
4. Do you currently have email automation for abandoned carts?
5. What is the average abandoned cart value (in BGN)?
6. Do you have retargeting capability (Facebook Pixel, Google Ads)?

Once you have all the answers, create a cart abandonment recovery plan.

## Output format

1. **Email series (3 emails)**

   **Email 1 — Reminder (1 hour after abandonment)**
   - Subject line (3 variants)
   - Copy: 60-80 words, focus on the forgotten cart
   - CTA: "Complete your order"
   - No discount at this stage

   **Email 2 — Incentive (24 hours)**
   - Subject line (3 variants)
   - Copy: add social proof (reviews, how many people buy)
   - Light incentive: free delivery or 5% discount
   - CTA: "Get free delivery"

   **Email 3 — Last chance (72 hours)**
   - Subject line (urgency focus)
   - Copy: scarcity + final offer
   - Stronger incentive: 10% discount with countdown
   - CTA: "Last chance — 10% discount"

2. **On-site optimizations**
   - Exit-intent popup: copy + design direction
   - Progress indicator in checkout
   - Trust badges: which and where
   - Simplified checkout: suggestions to streamline

3. **Retargeting**
   - Facebook/Instagram: ad type, budget, duration
   - Google Display: banners for dynamic retargeting
   - Timing: when to show the ad

4. **Measurement**
   - Recovery rate target (realistic: 5-15%)
   - Revenue recovered per month (calculation)
   - A/B test plan: what to test first

Respond in English.

How to Adapt

1. For stores with primarily cash-on-delivery (наложен платеж), the abandonment pattern is different - adapt the email copy to address delivery concerns rather than payment security.
2. If you don't have email automation, start with email 1 only - even a single recovery email can recapture 5-10% of abandoned carts.
3. For high-value carts (above your average), add: "Include a personal phone call option for carts above [X] lv."

What to Expect

A 3-email recovery sequence with copy, subject lines, and timing, plus on-site optimization recommendations and a retargeting strategy. Typical recovery rate: 5-15% of abandoned carts, which for most stores represents significant monthly revenue.

46. Marketplace Listing Optimizer

Selling on Emag, Amazon, or OLX requires different optimization strategies than your own website. This prompt optimizes product listings for marketplace-specific algorithms, search behavior, and competitive dynamics.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a marketplace optimization specialist for Bulgarian online retail.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which marketplace do you sell on (Emag, Amazon, OLX, Pazaruvaj, other)?
2. Which products do you want to optimize (5-10 items with current titles and descriptions)?
3. What is the competitive landscape — how many sellers offer similar products?
4. What is your current search position for the key keywords?
5. What is the conversion rate of your current listings (if you know)?

Once you have all the answers, optimize the listings.

## Output format

For each item:

1. **Optimized title**
   - Structure: Brand + Product + Key feature + Size/Color
   - Up to 200 characters (or the platform's limit)
   - Include 2-3 high-volume keywords

2. **Bullet points** (5 bullets)
   - Each starts with a key benefit (bold if possible)
   - Includes 1-2 keywords naturally
   - Focus: what the buyer gets, not just specs

3. **Description** (150-300 words)
   - Intro: who the product is for
   - Features translated into benefits
   - Social proof elements: "Over 500 satisfied customers"
   - Includes long-tail keywords

4. **Backend keywords** (if the platform supports them)
   - 20-30 words for hidden search

5. **Marketplace pricing strategy**
   - Where your price sits relative to competitors
   - Buy Box strategy (for Emag/Amazon): what is needed

6. **Photos** — checklist:
   - Main photo: white background, full product
   - Secondary: in use, lifestyle
   - Infographic: key features with text on the image
   - Minimum 5 photos per item

Respond in English.

How to Adapt

1. For Emag specifically, emphasize the "Genius" program requirements and free delivery badge - these dramatically affect visibility.
2. For OLX, optimize for search within the platform: OLX users search differently (shorter, more colloquial queries).
3. Run the optimization on your top 10 products first and measure the impact before scaling to the full catalog.

What to Expect

Fully optimized listings for each product with SEO-driven titles, benefit-focused bullet points, keyword-rich descriptions, and a photo checklist. Typical improvement: 20-40% increase in click-through rate and 10-20% improvement in conversion.

47. Click and Collect Process Designer

Click and collect is the bridge between online and in-store that customers increasingly demand. This prompt designs the end-to-end process from online order placement to in-store pickup, including staff workflows, customer communications, and edge case handling.

Complexity: Advanced | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are an omnichannel consultant with experience in retail Click & Collect operations.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain is the Click & Collect service for?
2. Do you have an online store and what is the volume of online orders?
3. How many physical locations do you have and what are the storage area sizes?
4. What is your current order processing flow (manual, POS integration, WMS)?
5. How quickly must the order be ready for pickup?
6. How do customers pay — prepaid online, on pickup, both?

Once you have all the answers, design the Click & Collect process.

## Output format

1. **Customer Journey**
   - Step 1: Online order — UX requirements (store choice, slot)
   - Step 2: Confirmation — email/SMS copy
   - Step 3: Ready — "Order is ready" notification
   - Step 4: Pickup — where, how, what the in-store process is
   - Step 5: After pickup — feedback email

2. **Operational process (for staff)**
   - Receiving the order: who sees it, where
   - Picking: route, checklist
   - Packing and labeling
   - Storage area: where ready orders are kept
   - Handover to customer: identification, verification

3. **Communication templates** (3 emails/SMS)
   - Order confirmation
   - Order is ready for pickup
   - Reminder (if not picked up within 48 hours)

4. **Edge cases**
   - Item is out of stock: what do we do?
   - Customer wants to add an item at pickup
   - Customer doesn't show: how long do we hold the order?
   - Wrong order: correction procedure

5. **KPIs**
   - Fulfillment time: from order to "ready"
   - Pickup rate: % of orders picked up on time
   - Customer satisfaction: Click & Collect NPS

Respond in English.

How to Adapt

1. If you are launching Click & Collect for the first time, start with a single store as a pilot and specify: "This is a pilot program for 1 location."
2. For food retail, add temperature-controlled storage requirements and maximum hold times for perishable items.
3. If you use a specific e-commerce platform (Shopify, WooCommerce), mention it so the AI can suggest compatible fulfillment plugins.

What to Expect

A complete Click and Collect operational blueprint: customer journey with communication touchpoints, staff workflows with checklists, email/SMS templates, edge case protocols, and KPIs. Ready for pilot deployment.

48. Product Page Conversion Optimizer

Small changes to product pages can yield large conversion improvements. This prompt generates A/B test hypotheses for your product pages, with specific variants, expected impact, and measurement methodology.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a CRO (Conversion Rate Optimization) specialist for e-commerce.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. What is the URL of the product page you are optimizing?
2. What is the current conversion rate of this page?
3. What is the traffic (visits per month) — is it enough for an A/B test?
4. What elements does the page have (photos, description, reviews, related products, size chart)?
5. What is the main purchase concern for your customers (price, quality, size, delivery)?

Once you have all the answers, create an A/B test plan for the product page.

## Output format

1. **Audit of the current page**
   - Strengths (keep them)
   - Weaknesses (improve them)
   - Missing elements (add them)

2. **5 A/B test hypotheses** — ordered by expected impact:
   For each:
   - **Hypothesis**: "If we change X, we will increase Y, because Z"
   - **Control (A)**: what it is now
   - **Variant (B)**: what we are testing
   - **Metric**: what we measure (add-to-cart rate, conversion, revenue per visitor)
   - **Required traffic**: minimum visits for statistical significance
   - **Duration**: recommended in days

3. **Quick Wins (no A/B test)**
   - 3-5 risk-free changes you can make right away
   - Examples: adding trust badges, improving CTA copy

4. **Roadmap**
   - Month 1: test 1 + quick wins
   - Month 2: test 2 + analysis of test 1
   - Month 3: test 3 + iteration

Respond in English.

How to Adapt

1. If your monthly traffic is below 5,000 visits per page, A/B tests will take too long - implement the "Quick Wins" directly and measure before/after.
2. Provide a screenshot of your product page for more specific recommendations (Claude and ChatGPT support image analysis).
3. For Shopify stores, ask: "Include specific Shopify apps for A/B testing (e.g., Google Optimize alternatives, Neat A/B Testing)."

What to Expect

A page audit, 5 prioritized A/B test hypotheses with specific variants and measurement plans, quick wins for immediate implementation, and a 3-month testing roadmap. Systematic testing typically yields 20-40% conversion improvement within 6 months.

49. Last-Mile Delivery Experience Mapper

The delivery experience is the final impression your brand makes - and increasingly the most important one for online shoppers. This prompt maps every touchpoint from order confirmation to package delivery, identifying friction points and improvement opportunities.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a logistics and CX consultant specializing in last-mile delivery for e-commerce.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which online store are we analyzing delivery for?
2. Which courier companies do you use (Econt, Speedy, other)?
3. What delivery options do you offer (to address, to office, locker, Click & Collect)?
4. What is the average delivery time and what is the cost?
5. What are the most common delivery complaints?
6. Do you offer free delivery and under what conditions?

Once you have all the answers, map and improve the delivery experience.

## Output format

1. **Delivery Journey Map**
   For each step: action | communication | customer emotion | friction points
   - Order placed → confirmation
   - Processing → status update
   - Handed to courier → tracking link
   - In transit → estimated time
   - Delivered → confirmation + feedback

2. **Communication templates** (5 emails/SMS)
   - Order confirmation
   - Order shipped + tracking
   - Delivery tomorrow — reminder
   - Successful delivery + thanks
   - Delayed delivery — apology + compensation

3. **Friction point analysis**
   - Problem → Cause → Solution → Priority
   - At least 5 specific points

4. **Unboxing experience**
   - Packaging: materials, branding, sustainability
   - Inserts: thank-you card, promo code for the next order, return instructions
   - Print: what should appear outside and inside the box

5. **Metrics**
   - Delivery Success Rate (target: > 97%)
   - Average Delivery Time (target: < X days)
   - Delivery NPS (target: > 50)
   - Return-due-to-delivery Rate (target: < 2%)

Respond in English.

How to Adapt

1. If you use Econt or Speedy API, specify it so the AI can suggest specific integration improvements (automated tracking, return labels).
2. For fragile or high-value items, add: "Include packaging specifications and insurance recommendations."
3. For same-day delivery zones, add: "Design a same-day delivery promise for orders placed before 12:00 in Sofia."

What to Expect

A complete delivery experience map with communication templates for every touchpoint, friction point analysis with solutions, unboxing recommendations, and delivery KPIs. Improves delivery satisfaction and reduces "where is my order" support inquiries by 30-50%.

50. Weekly Sales Performance Report

Most retail managers review sales numbers but struggle to turn data into decisions. This prompt transforms your weekly sales data into a structured report with trends, anomalies, and specific action recommendations.

Complexity: Beginner | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a retail analyst specializing in weekly reports for stores and chains.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain is the report for?
2. Paste the data for this week: total revenue, transaction count, average basket, revenue by day.
3. Do you have data for last week and the same week last year (for comparison)?
4. Were there specific factors this week (promotion, holiday, bad weather, renovation)?
5. Which categories or items do you want to track specifically?

Once you have all the answers, generate the weekly report.

## Output format

1. **Executive Summary** — 3-4 sentences: how the week went, key takeaways

2. **Key metrics** — table:
   | Metric | This week | Last week | Δ% | YoY Δ% |
   - Total revenue
   - Transaction count
   - Average basket
   - Conversion (if you have traffic data)

3. **Daily breakdown** — table:
   | Day | Revenue | Transactions | Avg. basket | Comment |
   - Mark: strongest and weakest day

4. **Category analysis** (if data is available)
   - Top 3 growing categories
   - Top 3 declining categories
   - Anomalies: unexpected spikes or drops

5. **Action items for next week**
   - 3 concrete actions based on the data
   - Priority: high / medium / low
   - Owner (role, not a person)

6. **Forecast** — expectations for next week based on the trend

Respond in English.

How to Adapt

1. Export your weekly data from your POS system every Monday morning and paste it directly - 10 minutes of preparation for a professional report.
2. For multi-location chains, add location breakdown as an additional section.
3. Save each week's report and quarterly ask the AI to "Analyze the trend across these 12 weekly reports and identify patterns."

What to Expect

A one-page executive report with KPI comparison, daily analysis, category highlights, and 3 specific action items for the coming week. Ready for the Monday morning management meeting.

51. Category Performance Analysis

Category management is where margins are won or lost. This prompt deep-dives into a single product category, analyzing sell-through rates, margin contribution, space productivity, and competitive positioning to inform buying and merchandising decisions.

Complexity: Advanced | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a category manager with deep experience in retail data analysis.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain is the analysis for?
2. Which category are we analyzing?
3. Paste the last 3-6 months of data: sales by item/subcategory, stock, margin.
4. How much shelf space (linear meters or % of floor area) does the category occupy?
5. Who are the main suppliers and brands in the category?
6. What is the category trend — growing, stable, or declining versus last year?

Once you have all the answers, perform an in-depth category analysis.

## Output format

1. **Category overview**
   - Total revenue, margin (absolute and %), trend
   - Share of total store revenue
   - Benchmark: is it performing above or below average?

2. **Product matrix** (BCG-style):
   - ⭐ Stars: high revenue + high margin
   - 🐄 Cash cows: high revenue + low margin (traffic builders)
   - ❓ Question marks: low revenue + high margin (potential)
   - 🐌 Dogs: low revenue + low margin (candidates for delisting)

3. **Space-to-Sales analysis**
   - Productivity: revenue per linear meter
   - Which subcategories take more space than they deserve
   - Reallocation recommendations

4. **Brand analysis (by supplier/brand)**
   - Which brands are growing, which are declining
   - Margin contribution by brand
   - Recommendations: increase/reduce/replace

5. **Action plan**
   - Assortment: what to add/remove (3-5 items)
   - Pricing: adjustments for 2-3 items
   - Merchandising: shelf positioning change
   - Promotions: 1-2 proposals for next month

Respond in English.

How to Adapt

1. For food retail, add "Include shelf life analysis: which products have the highest waste/shrinkage and what is the financial impact?"
2. Run this analysis quarterly for every major category and build a category review calendar (1 category per week).
3. If you have market data (Nielsen, GfK), include industry benchmarks to compare your category performance against the market average.

What to Expect

A comprehensive category review with BCG-style product matrix, space productivity analysis, brand-level insights, and a concrete action plan for assortment, pricing, and merchandising. The foundation for data-driven category management.

52. Customer Segmentation Analysis

Not all customers are equal, but most stores treat them as if they are. This prompt segments your customer base by purchasing behavior and value, revealing which groups to invest in and which need different strategies.

Complexity: Advanced | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a CRM and customer analyst for retail.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain is the segmentation for?
2. What customer data do you have (loyalty program, online accounts, POS history)?
3. Paste aggregated data: total customers, average purchase frequency, average value, retention rate.
4. What is your typical customer profile (age, gender, location — if you know)?
5. What marketing channels do you have for communication (email, SMS, push, social)?

Once you have all the answers, perform customer segmentation.

## Output format

1. **RFM analysis (Recency, Frequency, Monetary)**
   - Explain the methodology with numeric thresholds
   - 5-6 segments:
     | Segment | Description | % of customers | % of revenue | Average basket | Frequency |

2. **Profile of each segment**
   - **Champions**: high value, frequent purchases → retain them
   - **Loyal Customers**: stable, mid-value → grow basket size
   - **At Risk**: were active, now slowing down → re-engage
   - **New Customers**: recent first purchase → convert them
   - **Lost**: long-inactive → win-back or remove
   - **Sleeping**: rarely buy, low ticket → low priority

3. **Strategy per segment** — table:
   | Segment | Goal | Tactic | Channel | KPI |

4. **Quick Win campaigns**
   - 3 campaigns with the highest expected ROI
   - For each: segment, message, offer, timing

5. **CLV (Customer Lifetime Value) estimate**
   - Average value per segment
   - Cost of losing 1 Champion vs. 1 At Risk customer

Respond in English.

How to Adapt

1. If you don't have individual customer data (no loyalty program), use aggregate data and ask the AI to "Suggest a segmentation approach based on product categories purchased and transaction frequency."
2. For online stores with Google Analytics, export the "Customer Lifetime Value" and "Cohort Analysis" reports and paste them.
3. For multi-brand retailers, add brand affinity as a segmentation dimension alongside RFM.

What to Expect

An RFM-based customer segmentation with 5-6 segments profiled by behavior and value, a strategy matrix with specific tactics per segment, 3 high-ROI campaign ideas, and CLV estimates. Transforms "all customers get the same email" into targeted, effective communication.

53. Store Traffic and Conversion Analysis

Traffic without conversion is just people walking past your cash register. This prompt analyzes foot traffic patterns, conversion rates by day and hour, and identifies the operational levers that turn visitors into buyers.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a retail operations analyst specializing in traffic and conversion for brick-and-mortar stores.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store is the analysis for?
2. How do you measure traffic (people counter, manual, cameras, WiFi sensors)?
3. Paste the data: traffic by day (and by hour if available), transaction count, revenue.
4. How many staff are on shift at different times of day?
5. Are there differences in traffic between weekdays and weekends?

Once you have all the answers, analyze traffic and conversion.

## Output format

1. **Summary**
   - Average daily traffic
   - Average conversion (transactions / visitors × 100)
   - Benchmark: for your store type the norm is X-Y%
   - Trend: rising, falling, stable

2. **Day-by-day analysis** — table:
   | Day | Traffic | Transactions | Conversion (%) | Avg. basket | Staff |
   - Mark: highest and lowest day

3. **Hour-by-hour analysis** (if data is available) — heatmap style:
   - Peak hours and "dead" hours
   - Traffic-to-staff ratio per hour

4. **Staff optimization**
   - When you have too many staff for the traffic (unnecessary cost)
   - When you have too few (lost sales)
   - Suggested shift schedule

5. **Conversion factors**
   - 5 hypotheses for why conversion varies
   - For each: how to test and what to do

6. **Action plan**
   - This week: 2 quick actions
   - This month: 2 structural changes
   - Goal: conversion from X% to Y% in 3 months

Respond in English.

How to Adapt

1. If you don't have a people counter, start simple: assign one staff member to count entries every 15 minutes during peak hours for a week.
2. For shopping malls, separate "mall traffic" from "store entries" - the conversion from passing by to entering is itself a metric worth optimizing.
3. Combine with the mystery shopper data (prompt 11) to correlate service quality with conversion rates.

What to Expect

A traffic and conversion report with daily and hourly breakdowns, staff optimization recommendations, 5 conversion hypotheses to test, and a concrete action plan. The single most important operational analysis for any physical store.

54. Retail KPI Dashboard Design

Most retail managers track too many metrics and act on too few. This prompt designs a focused KPI dashboard that surfaces only the numbers that drive decisions, with targets, alert thresholds, and refresh frequencies.

Complexity: Intermediate | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a retail business analyst and BI specialist.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. Which store or chain is the dashboard for?
2. Who will use it — store manager, regional manager, owner?
3. What data do you have and where does it come from (POS, ERP, Excel, Google Analytics)?
4. Which 3-5 questions must the dashboard answer at a glance?
5. How will you view it — office screen, phone, weekly email?

Once you have all the answers, design the KPI dashboard.

## Output format

1. **Dashboard structure** — wireframe description:
   - Top row: 4-5 key numbers (KPI cards)
   - Middle row: 2 charts (trend + comparison)
   - Bottom row: detail table

2. **KPI definitions** — for each KPI:
   | KPI | Formula | Data source | Frequency | Target | Red flag |
   - Revenue
   - Average basket
   - Conversion
   - Margin (%)
   - Transactions per employee
   - Stock availability (% in-stock)
   - Customer satisfaction (if available)

3. **Levels of detail**
   - Level 1 (Executive): 5 numbers + 1 chart — on the phone
   - Level 2 (Operational): full dashboard — on the office screen
   - Level 3 (Deep Dive): drill-down by category/day/employee

4. **Alert system**
   - When to receive a notification: 3-5 triggers
   - Channel: SMS, email, Slack/Viber

5. **Technical recommendations**
   - If you don't have a BI tool: Google Sheets + automatic refresh
   - If you have budget: Power BI, Looker Studio, or Metabase
   - Integration: how to connect POS data automatically

Respond in English.

How to Adapt

1. Start with the simplest version (Google Sheets) and upgrade as your data maturity grows - a dashboard you actually use is better than a perfect one you ignore.
2. For chain stores, add a "location comparison" view: same KPIs, ranked by store performance.
3. Ask the AI to "Generate the Google Sheets formulas for each KPI calculation" for immediate implementation.

What to Expect

A dashboard design document with KPI definitions, calculation formulas, data sources, target values, alert thresholds, and technical implementation recommendations. From design to a working dashboard in 2-4 hours using Google Sheets or 1-2 days in a BI tool.

55. Competitor Benchmarking Report

Understanding where you stand relative to competitors is essential for strategic decisions. This prompt creates a systematic competitive analysis covering positioning, pricing, customer experience, online presence, and operational practices - all from publicly available information.

Complexity: Advanced | Compatible tools: Claude, ChatGPT, Gemini

Prompt

You are a strategic retail consultant with experience in the Bulgarian market.

Before you begin, ask me the following questions one at a time. Wait for my answer after each question:

1. What is your store/chain and what is your market segment?
2. Who are 3-5 key competitors you want to analyze?
3. What data do you have on competitors (public info: prices, locations, reviews, website)?
4. What do you consider your current competitive advantage?
5. In which areas do you feel you are falling behind?

Once you have all the answers, create a benchmark report.

## Output format

1. **Comparison matrix** — overall:
   | Parameter | Us | Competitor A | Competitor B | Competitor C |
   - Number of locations
   - Price positioning (budget/mid/premium)
   - Online presence (website, e-shop, delivery)
   - Google rating (average score)
   - Social media (follower count, engagement)

2. **Dimension-by-dimension analysis**

   **Pricing** (based on 10-15 comparable items)
   - Price map: who is the most expensive/cheapest for which items
   - Value perception: price vs. perceived quality

   **Customer experience**
   - Google Reviews analysis: average score, volume, trend
   - Main themes in competitors' reviews

   **Digital presence**
   - Website: UX rating, mobile, speed
   - Social media: platforms, frequency, engagement rate
   - SEO: keyword visibility

   **Operations**
   - Hours, delivery, loyalty program
   - Technology: mobile app, self-checkout, Click & Collect

3. **SWOT based on the benchmark**
   - What we do better than everyone
   - What everyone does better than us
   - Opportunities: what no one is doing
   - Threats: what a competitor is preparing to do

4. **Strategic recommendations**
   - 3 improvement areas, ordered by impact
   - For each: specific action, resources, timeline, expected effect

Respond in English.

How to Adapt

1. For the pricing comparison, visit or browse competitors' stores/websites and collect prices for 10-15 comparable items - paste them into the analysis.
2. Run this benchmark annually for strategic planning and quarterly for tactical adjustments.
3. For regional competitors (not national chains), focus more on local factors: location, community presence, personal service quality.

What to Expect

A comprehensive competitive benchmark report with a comparison matrix, analysis across 4 dimensions (pricing, CX, digital, operations), a SWOT derived from competitive positioning, and 3 prioritized strategic recommendations. Ideal for annual strategy reviews and investment planning.