This is like giving every shopper a smart digital tailor that knows their body and how different brands really fit, so they can pick the right size first time when buying clothes online.
High return rates, customer frustration, and waste caused by inconsistent sizing across brands and poor fit in online fashion purchases.
Fit and sizing systems can build a proprietary data moat from detailed body measurements, try-on behavior, and return/fit feedback across many brands and SKUs, creating defensible insights that are hard for new entrants to replicate quickly.
Hybrid
Vector Search
High (Custom Models/Infra)
Real-time 3D/2D body and garment modeling at scale, plus maintaining accurate size/fit mappings across constantly changing product catalogs and inconsistent brand size standards.
Early Majority
Differentiation typically comes from accuracy of body/fit prediction, breadth of integrated retailer and brand data, ability to work from simple inputs (height/weight or a few photos), and ease of embedding into ecommerce flows without friction for shoppers.