Supplier Scorecard Builder
Generate weighted supplier scorecards for 3C and consumer electronics factory evaluations.
Free
Works with the AI tools you already use
See it in action
You say
Create a scorecard for three phone case suppliers. Quality is my top priority at 40%, followed by lead time at 30%. I need to decide between Factory X, Y, and Z.
Your agent does
| Criteria | Weight | Factory X | Factory Y | Factory Z | |---|---|---|---|---| | Quality | 40% | 5 | 3 | 4 | | Lead Time | 30% | 4 | 5 | 3 | | Price | 15% | 3 | 4 | 5 | | Compliance | 10% | 5 | 4 | 4 | | Comms | 5% | 4 | 4 | 3 |
Weighted: X: 4.55 | Y: 3.80 | Z: 3.75 Verdict: Keep X, Watch Y, Replace Z.
About this skill
The problem
Sourcing teams often reorder based on memory or the most recent shipment rather than objective data. Managing multiple factories across 3C and consumer electronics makes it difficult to track which suppliers consistently hit quality and lead time targets.
What it does
- Generates a structured scorecard comparing multiple factories side-by-side.
- Assigns custom weights to quality, lead time, price, compliance, and communication.
- Calculates weighted totals to provide an objective performance ranking.
- Provides actionable verdicts like keep, watch, or replace based on data.
- Outputs clean Markdown tables for easy integration into sourcing folders or documentation.
Why this beats prompting it yourself
Writing prompts for weighted evaluations often results in inconsistent math or generic criteria. This skill enforces a specific logic for consumer electronics sourcing, ensuring trade-offs between price and quality are mathematically defensible and formatted for immediate use.
Use cases
- Compare two charger factories to decide which gets the high-volume order.
- Conduct quarterly performance reviews for existing auto-accessory suppliers.
- Evaluate new electronics vendors against incumbent partners.
- Create a defensible paper trail for switching suppliers due to poor compliance.
Known limitations
Calculations rely on user-provided performance data and notes. It generates the evaluation framework but does not perform independent factory audits.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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