How It Works
Return Reason Analytics
Go beyond generic return labels. Our analytics connect return events to specific fit mismatches — was it too tight in the chest? Too short in the sleeve? You see exactly which measurements caused the return, down to the centimeter, so you can fix the root cause in your next collection.
Size Distribution Intelligence
Stop ordering based on industry-standard size curves. Our data shows your actual customer body distribution — revealing which sizes your audience really needs. Adjust your buy accordingly and reduce overstock on sizes that don't sell while avoiding stockouts on sizes that do.
Product-Level Fit Scoring
Every product in your catalog gets a fit score based on real customer outcomes. Identify which items consistently deliver great fit and which are problematic — then use those insights to guide design, sourcing, and merchandising decisions for future seasons.
Assortment Planning Dashboard
Bring body data into your buying process. Our dashboard visualizes fit performance across categories, brands, and seasons — giving merchandisers and buyers the evidence they need to build assortments that align with what customers actually want and what actually fits them.
Fashion assortment planning has long been driven by historical sales data and trend forecasting — neither of which captures why customers keep or return items. maketribe closes this gap by feeding real body measurement and fit outcome data into the assortment decision process. The result is a feedback loop where every purchase, every return, and every size recommendation becomes intelligence that shapes better collections. For fashion brands tired of markdowns and overstock, analytics-driven assortment optimization turns fit data into a genuine competitive advantage.