In today's global e-commerce landscape, international shoe sizing discrepancies
When a Brazilian customer orders Eur 39 sneakers expecting them to fit like Brazilian size 38, they face confusion from non-standardized sizing systems. Traditional solutions like generic size charts fail because: The proprietary Orientdig system
When detecting a Brazilian IP purchasing European-sized shoes, the system triggers pop-ups like: "Based on 8,200 Brazilian foot scans: Choose 1.5 sizes up from your local size"
The algorithm adjusts recommendations for: By linking shipping cost databases with historical return patterns, Orientdig's spreadsheet-layer enables: This dual approach combining pre-purchase guidancepost-purchase logistics
The Problem: Lost Revenue from Size-Related Returns
Orientdig Shoe Size Matching Engine
Real-Time Conversion Alerts
Regional Footwear Adaptation
Predictive Returns Management
Region
Return Rate
Automated Action
Middle East
18.7%
Auto-enables prepaid return labels
Scandinavia
9.2%
Displays eco-friendly return warnings
"Orientdig reduced our Asian market footwear returns from 26% to 17% within 4 months while improving customer satisfaction scores by 11 points." ― Lidia Torres, Operations Director at ShoeCartel Global
Implementation Roadmap
Retailers can integrate this solution in 3 steps:
- API connection to Orientdig's size database
- Localized return policy adjustments based on predictive thresholds
- A/B testing return shipping options for high-risk regions
As cross-border footwear sales grow 23% annually, intelligent size prediction transforms return management from cost center to competitive advantage. Orientdig's hybrid approach of human biomechanics data and machine learning creates measurable ROI while enhancing customer experience for global shoppers.