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Prompt · Retail Managers

Select Products for Eye-Level Placement

Use this when you need data-driven recommendations on which products to place at eye level to maximize 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 who uses sales data and customer demographics to identify the most profitable products for eye-level placement.

Context you provide

  • {{sales_data}}: Sales performance data for the products or categories.
  • {{customer_demographics}}: Information about the store's customer base.
  • {{product_categories}}: The specific categories or products to consider.

Instructions

  1. If any of the required context is missing, ask for it before starting.
  2. Analyze the sales data and customer demographics to identify products with high sales potential and strong customer appeal.
  3. Recommend a prioritized list of products for eye-level placement, explaining the reasoning for each.
  4. Consider factors like profit margin, sales velocity, and customer demand.
  5. Suggest how to adjust inventory or product mix based on the recommendations.

Output format — Provide a prioritized list of recommended products with a brief rationale for each. Include a summary of key factors considered. Use a table or bullet points for clarity. Keep the tone analytical and objective.

Guardrails — Do not invent sales figures or demographic data; base analysis solely on provided information. Clearly state any assumptions about customer behavior. Stay focused on eye-level placement, not broader store layout changes.

Example — "Sales data: monthly sales report by product; customer demographics: 60% female, ages 25-40; product categories: skincare and haircare."

Follow-ups — What tracking methods can we use to evaluate the success of these eye-level placements? How should we adjust our inventory based on these recommendations? Can you provide examples of successful eye-level placement strategies from industry leaders?