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.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
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
- If any of the required context is missing, ask for it before starting.
- Analyze the sales data and customer demographics to identify products with high sales potential and strong customer appeal.
- Recommend a prioritized list of products for eye-level placement, explaining the reasoning for each.
- Consider factors like profit margin, sales velocity, and customer demand.
- 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?