For international shoe purchasing agents like ootdbuy shoes agency, getting the right size for clients is crucial. Returns and exchanges due to size issues can be costly and time-consuming, especially for cross-border purchases. That's why ootdbuy has developed a sophisticated spreadsheet system to provide precise size recommendations.
The Power of Data Organization
ootdbuy's spreadsheet system tracks three key elements for optimal size matching:
- Brand-specific sizing metrics:
- Client foot profiles:
- Purchase outcomes:
- Client foot profiles:
How the Recommendation System Works
The process begins when a client submits their foot measurements and purchasing history. The ootdbuy team then:
- Inputs the data into their master sizing spreadsheet
- Matches the measurements against the brand-specific size database
- Considers any special notes about customer preferences (e.g., "likes roomy toe box")
- Generates a size recommendation with confidence rating
Continuous Improvement Through Feedback
What makes ootdbuy's system special is its feedback loop. With each purchase, they record whether the recommendation was accurate and adjust future suggestions accordingly. This data helps them identify patterns like:
- Which brands consistently run large/small compared to standard sizes
- How certain materials (like leather vs. mesh) affect fit over time
- Regional size variation differences
According to ootdbuy's website, this systematic approach has reduced size-related returns by over 60%, saving both the company and customers time and frustration.
The Future of Sizing Technology
While spreadsheets currently power their system, ootdbuy is exploring AI-enhanced tools that can make even more precise predictions while still allowing human specialists to review recommendations for special cases.