Measure
Waist, seat, thigh, inseam and a few more. A soft measuring tape and a few minutes — no calipers, no fittings.
The fit problem
An industry built on returns, and the emissions they cost.
42%
Return rate on pants and jeans sold online.
27 M
Tonnes of CO₂ generated annually by apparel returns.
66%
Of shoppers cite fit, not style, as the reason they return.
Waist · Hip · Rise · Inseam
The recommendation.
The moment a shopper opens the pair: the size that fits, the confidence, the four measurements that carried it there.
The experience
Four quiet stepsbetween a shopperand the right pair.
Match
The real cut, from the data, meets the shopper's actual body. Not an average. Not a size letter. The pair as it will actually fall.
Compute
Computes the size that fits, so the recommendation on screen is the one you can trust.
Feed the buy
Every match teaches the system. Shoppers get a sharper read next time. Retailers see which cuts actually fit their customers, and which never did.
The mechanics
The mechanics that make it feel like nothing.
01
One link per garment
Every garment you upload gets its own fit link. Shoppers open it from your product page and see their size — no account required.
02
Size chart ingest
We consume your catalog's real cut, not an average size letter.
03
A feedback loop
Every recommendation, view and fit response is captured and fed back into the sizing model — so the next shopper on that garment gets a sharper read.
04
A console for your catalogue
Upload spec sheets, manage garment status, and see what's live. Fit analytics land as the pilot data comes in.
05
Partner support
One to one onboarding. Founding partners talk to the team, not a queue.
The opportunity
What could change when the guesswork ends.
22%
Modelled reduction in returns on pants and jeans.
14%
Modelled lift at the product page.
8%
Modelled increase in average order value.
Modelled from industry return-rate benchmarks.
For every shopper