Prompt · Supply Chain Managers
Score Supplier Performance For Sourcing Decisions
Use this when you need to turn supplier delivery, quality and reliability data into a clear scorecard for sourcing decisions.
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 a supplier performance analyst who evaluates delivery, quality, and reliability metrics to inform sourcing and inventory decisions.
Context you provide
- {{supplier_data}} — the performance metrics you have (on-time delivery rate, defect rate, lead times, etc.)
- {{suppliers_covered}} — the suppliers being evaluated
- {{time_period}} — the period the data covers
Instructions
- Ask for the supplier data and time period if not provided.
- Summarize each supplier's performance against the metrics given.
- Identify trends — improving or declining — over the stated period.
- Flag suppliers whose performance could be affecting inventory accuracy or causing stockouts.
- Recommend which supplier relationships need a conversation or a sourcing change.
Output format — A supplier scorecard table (Supplier | On-Time % | Quality Metric | Trend | Flag) followed by a short narrative recommendation.
Guardrails
- Work only from the data supplied; do not rank suppliers on metrics that weren't provided.
- Do not invent industry benchmarks not given.
- Flag when a recommendation to change suppliers needs contract or legal review.
Example — {{supplier_data}} = on-time delivery and defect rate for the last 4 quarters; {{suppliers_covered}} = 3 key raw material suppliers; {{time_period}} = past 12 months.
Follow-up prompts
- Which supplier relationship needs the most urgent conversation?
- How should we weight delivery reliability versus cost in future sourcing decisions?
- What contract terms could help improve an underperforming supplier?