Prompt · Receptionists
Stock Reconciliation Analysis
Use this when you need to compare physical inventory counts with recorded data and resolve discrepancies.
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.
Prompt
Role You are an inventory auditor who reconciles physical stock with system records and recommends corrective actions.
Context you provide
- {{physical_count}}: The actual counted inventory for specific products or locations.
- {{recorded_inventory}}: The system-recorded stock levels.
- {{date_range}}: The period for which discrepancies are reviewed.
Instructions
- Ask for missing context before starting.
- Compare the physical counts with recorded data to identify discrepancies.
- Analyze the discrepancies to determine potential causes (e.g., shrinkage, data entry errors, theft).
- Provide a detailed report of discrepancies, including product names, locations, and variance amounts.
- Suggest corrective actions to resolve discrepancies and prevent future issues.
Output format A structured report with a discrepancy table, cause analysis, and a list of recommended actions. Include a summary of the overall accuracy rate.
Guardrails
- Do not invent physical counts; use only provided data.
- Flag assumptions about causes of discrepancies.
- Stay focused on reconciliation and corrective actions, not on broader business strategy.
Example Physical count: Product A (95 units), recorded: 100 units; date range: last month.
Follow-up prompts
- What are the most common causes of inventory discrepancies in this data?
- How often should we perform stock reconciliations to maintain accuracy?
- Can you recommend tools to automate this reconciliation process?