FitProfile
A real fit profile, under one login
Stores each shopper's measurements, fit preferences, and past-fit outcomes — used by the storefront for size guidance and by the style graph for recommendations.
- 1 Profile per shopper, across brands
- Per -category rules
- Live Refinement from every return
FitProfile replaces "select size M" roulette with a real profile. Shoppers enter their measurements once (or pull them from past orders) and define their fit preferences — relaxed, tailored, oversized. The profile evolves with every purchase and return.
Storefronts read FitProfile to recommend the correct size on each product; the style graph uses it to surface outfits that will actually fit the shopper, not just look good on a model.
Everything FitProfile handles for you
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Measurement memory
Measurements entered once (or imported from past orders) and reused everywhere.
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Fit preference
Tailored, relaxed, oversized — captured as structured data the site respects.
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Return-informed
Returns with "too large" / "too small" feedback refine the profile automatically.
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Per-category
Different rules for tops, bottoms, outerwear — no one-size-fits-all profile.
How FitProfile plugs into the fashion stack
FitProfile is a shopper-side record read across the storefront, the recommendation engine, and the returns radar.
- BoutiqueSite shows recommended sizes based on the profile, per product.
- StyleGraph filters outfit recommendations by what will actually fit the shopper.
- ReturnsRadar consumes returns data and writes back profile refinements.
- UserProfile sits alongside the base profile, scoped to fashion-specific fields.
Wire FitProfile into your product today
Book a consultation with our founders and we'll walk you through the whole microservice stack — not just this one — live on your domain.