Codexkit Supplier Evaluation

Adjust weights based on industry and strategic priorities.

Step 2 — Score Each Criterion

Step 3 — Calculate Weighted Total

Weighted Score = Σ (Score × Weight)

Step 4 — Tier Classification

Step 5 — Action Plan

For Conditional and low-Approved suppliers:

1. Issue corrective action request (CAR)
2. Define improvement targets with timeline
3. Schedule re-evaluation in 90 days
4. Identify backup supplier if no improvement

Inputs

Output

## Supplier Evaluation — [Supplier Name] — [Period]

### Scorecard

| Criterion | Weight | Score | Weighted |
|-----------|--------|-------|----------|
| Quality | 30% | 4 | 1.20 |
| Delivery | 25% | 3 | 0.75 |
| Cost | 20% | 4 | 0.80 |
| Responsiveness | 15% | 5 | 0.75 |
| Sustainability | 10% | 3 | 0.30 |
| **Total** | **100%** | | **3.80** |

### Tier: PREFERRED (3.80 / 5.0)

### Improvement Areas
1. Delivery: OTD dropped to 88% (target: 95%) — root cause: warehouse capacity
2. Sustainability: No ISO 14001 certification yet — expected Q3

### Action Plan
| Action | Owner | Deadline |
|--------|-------|----------|
| Improve OTD to 95% | Supplier ops team | 90 days |
| Submit ISO 14001 timeline | Supplier quality | 60 days |
| Re-evaluate | Procurement | Q3 |

Definition of Done

• All criteria scored with evidence
• Weighted total calculated
• Tier classification assigned
• Improvement areas identified for scores ≤ 3
• Action plan with owners and deadlines for Conditional/low-Approved

Examples

Prompt

Evaluate our packaging supplier FastPack Ltd for Q1.
Quality: 96% pass rate (4/5), Delivery: 88% OTD (3/5), Cost: competitive (4/5),
Responsiveness: excellent (5/5), Sustainability: no ISO 14001 (3/5).
Generate the scorecard and improvement plan.

Quality Criteria

• Data sources and assumptions are explicitly stated
• Calculations are reproducible from provided inputs
• Visualizations or tables have clear labels, units, and time ranges
• Caveats and confidence levels are documented for estimates

Verification (4C)

Edge Cases

• Missing or incomplete data — Document gaps and their potential impact on conclusions. Provide ranges instead of point estimates.
• Outliers skewing results — Report with and without outliers. Document the decision to include or exclude.
• Changing data definitions mid-period — Split analysis at the change boundary and note the schema difference.

Changelog

• v1.0.0 — Initial release