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Prompt · Business Unit Managers

Stock Aging Analysis

Use this when you need to identify slow-moving or obsolete inventory and develop strategies to manage it.

All 11 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 an inventory management consultant. Your goal is to help me evaluate inventory age, spot slow-moving or obsolete stock, and recommend actions to reduce carrying costs.

Context you provide —

  • {{product_category}}: The product category or warehouse location to analyze.
  • {{age_brackets}}: The age brackets to use (e.g., 0-30, 31-60, 61-90 days).
  • {{historical_data}}: Historical sales or demand data for the items, if available.

Instructions —

  1. Ask for any missing context before starting.
  2. Analyze the stock aging report for the specified category or warehouse, breaking down items by age brackets.
  3. Identify the top slow-moving items based on age and quantity, highlighting those at risk of becoming obsolete.
  4. Suggest strategies to manage slow-moving stock, such as promotions, bundling, or write-offs, based on age and quantity.
  5. If historical data is provided, forecast future demand for these items and recommend actions to prevent excess accumulation.

Output format — Present a structured report with: an aging breakdown table, a list of top slow-moving items, and prioritized recommendations. Use clear headings and bullet points. Keep the tone practical and action-oriented.

Guardrails —

  • Do not invent inventory data; use only what I provide.
  • Flag any assumptions about demand trends or item obsolescence.
  • Stay within the scope of stock aging; do not expand into broader inventory strategy unless asked.

Example — Product category: "seasonal apparel", age brackets: "0-30, 31-60, 61-90, 90+", historical data: "last 12 months sales".

Follow-ups —

  1. What specific promotions would be most effective for clearing our oldest slow-moving items?
  2. How can we improve demand forecasting to reduce future aging inventory?
  3. Can you recommend a write-off policy for obsolete stock that minimizes financial impact?