How Orientdig Shoe Size Matching & Spreadsheet System Reduce Returns by 29% Globally
In today's global e-commerce landscape, footwear retailers lose $7 billion annuallydeveloped after analyzing 2.3 million shoe returns.
How the Size Intelligence Engine Works
The cloud-based Orientdig Spreadsheet
Shipping Cost Algorithm Syncing
By cross-referencing built-in logistics data, the system:
- Activates free return labels
- Recommends local warehouse fulfillment for South Korea where returns take 18+ days
- Adjusts size suggestions during sales periods (Christmas size confusion spikes 31%)
Verified Impact on Shoe E-Commerce
| Metric | Before Orientdig | After Implementation |
|---|---|---|
| Size-related returns | 17.8% | 12.6% |
| Exchange rate | 4.2% | 9.7% |
Portuguese retailers report "The Brazil-EU popup alone saved us €47,000/month in reverse logistics"
Why This Solves US vs. Asia Sizing Crisis
The algorithm accounts for regional fit variances - Japanese standards run smaller by 0.8 sizes compared to U.S. measurements for the same tagged number. Our database tracks 147 sneaker models separately from formal footwear percentages.
Machine Learning Enhancements
Continuous integration with ICMP ping data from regional warehouses verifies actual delivery sizes against predictions. Every return updates the probability matrix for future transactions.