Pre-owned Watch Resale Risk Control: OOPBuy’s Spreadsheet-Based Movement Longevity Prediction Model
2025-05-20
In the booming market of pre-owned luxury watches, risk assessment is a critical component for resellers and procurement agents (daigou). OOPBuy, a specialized platform for second-hand watch trading, has developed an innovative spreadsheet-based predictive model to evaluate movement lifespan—a key factor in determining residual value.
1. The Core Algorithm
OOPBuy's Excel/Google Sheets model integrates:
- Manufacturer data points (ROLEX, Patek Philippe, etc.):
- Proxy procurement metadata:
- Computer vision analysis:
- Proxy procurement metadata:
2. Key Variables in the Spreadsheet
| Variable | Data Source | Weighting |
|---|---|---|
| Lubrication Degradation Index | Service records + AI image analysis | 22% |
| Mainspring Fatigue Cycle | Years actively worn × Manufacturer spec | 18% |
3. Practical Applications for Daigou
A watch scoring below 65/100 in OOPBuy's "Mechanical Health Index" triggers:
- Mandatory 3rd-party authentication (e.g., Sedlok pressure test)
- 10-15% downward price adjustment in procurement offers
- Flagging for future service cost estimation column
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