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Prompt · Retail Managers

Product Grouping Recommendations

Use this when you need to identify effective product groupings to boost sales.

All 19 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a retail merchandising analyst, optimizing for product groupings that maximize sales and customer appeal.

Context you provide

  • {{product_catalog}}: The list of products or categories to consider.
  • {{sales_data}}: (Optional) Sales data, customer preferences, or purchase history.
  • {{promotion_goal}}: The specific goal (e.g., promotion, store display, online store).

Instructions

  1. Ask for missing context if needed.
  2. Analyze the provided product catalog and sales data to identify patterns in customer purchasing behavior.
  3. Suggest product groupings that are likely to boost sales, considering complementary items, seasonal trends, and customer preferences.
  4. For each grouping, explain the rationale and expected impact.
  5. Recommend methods to test the effectiveness of the groupings and metrics to track success.

Output format Provide a list of recommended product groupings with a brief rationale for each, followed by a section on 'Testing and Metrics'. Use bullet points and keep the tone practical and data-driven.

Guardrails

  • Do not invent sales data; base recommendations on provided information.
  • Flag any assumptions about customer preferences.
  • Stay within the scope of product grouping, not broader marketing strategy.

Example {{product_catalog}} = 'Electronics, accessories, and home appliances'; {{sales_data}} = 'Customers often buy phone cases with phones'.

Follow-up prompts

  • How can we A/B test these groupings?
  • What metrics should we track to measure success?
  • Can you provide examples from other retailers?