Effective vendor evaluation on the KAKOBUY platform relies on consistent, long-term tracking of quality and compliance data. This guide outlines the systematic process for logging inspection outcomes and refund ratios over multiple years to build a robust, actionable seller performance analysis.
1. The Importance of Longitudinal QC Data
A single year's data provides a snapshot, but multi-year trending
- Identify vendors with sustained high qualitychronic issues.
- Differentiate between minor seasonal fluctuations and serious degradation in performance.
- Make objective renewal, partnership expansion, or termination decisions.
- Provide suppliers with concrete, historical feedback for their improvement plans.
2. Core Metrics to Track Annually
Build your yearly report around two pillars of quantitative data:
| Metric Category | Key Data Points | Calculation/Logging Method |
|---|---|---|
| Inspection Outcomes (QC) | Pass Rate, Major/Minor Defect Rates, AQL Results, Critical Non-Conformances | Log results per shipment/batch, then calculate annual averages and trends. |
| Post-Sale Refund Ratios | Refund Rate (%), Refund Reason Breakdown (Quality vs. Non-Quality), Customer Complaint Volumes | Aggregate platform sales and refund data on a per-vendor, per-year basis. |
3. Structuring Your Multi-Year Log
Use a standardized template, digital or within a platform like KAKOBUY's vendor management module, to ensure consistency.
Example Log Structure for Vendor "ABC Supplier":
Year: 2023
- QC Pass Rate: 94.7% (Trend: ▲ 2.1% from 2022)
- Avg. Defect Rate: 1.8%
- Primary Defect: Packaging damage (45% of defects)
- Refund Ratio: 3.2%
- Top Refund Reason: "Item not as described" (60%)
- Vendor Rating: **Good**
Year: 2022
- QC Pass Rate: 92.6%
- Avg. Defect Rate: 2.3%
- Primary Defect: Component failure (38% of defects)
- Refund Ratio: 4.1%
- Top Refund Reason: "Defective item" (70%)
- Vendor Rating: **Satisfactory**
4. Analysis and Actionable Evaluation
At the end of each year, compare the data against previous years and predefined benchmarks.
Evaluation Criteria:
- Improving Trajectory:preferred status
- Stable Performance:
- Declining Trajectory:Corrective Action Request (CAR)
5. Best Practices for Maintenance
- Automate Data Collection:
- Centralize Documentation:
- Schedule Annual Reviews:
- Update Benchmarks: