We don't predict fit.
We measure it.
The first time fit is data, not a guess.
Per SKU. To the millimeter. At catalog scale.
Shop by fit.
Not by size.
Lower returns. Higher sales. A new shopping experience for both new and returning buyers.
Ancient artifacts.
Brands publish them, but shoppers skim past or misread them. The chart goes unused, the order ships anyway, and the misfit shows up at home.
- Provided by brands, skipped by shoppers
- Skimmed, rarely understood
- Customers find out at home
Size isn't fit.
Recommenders map shoppers to a size label from survey data. But a label says little across brands, and nothing about how a garment actually fits.
- Built on surveys, not garments
- Gives a size, not a fit
- Never measures the garment
Wrong half of the problem.
A body scan captures the shopper's body. Fit also depends on the garment, and on whether they want it loose or tight. A scan sees neither.
- Measures the body, not the clothes
- Blind to baggy or tight
- Makes shoppers self-scan
Built on a garment they already love.
Every shopper owns something that fits just right. Size AI measures your catalog against it, per SKU, to the millimeter. Fit becomes real data, not a guess.
- True garment measurements
- Accurate to the millimeter
- Per-SKU, not per size
- Built for catalog scale
We don't predict fit. We measure it. At catalog scale. The way no one else can.
More sales. Fewer returns. A real relationship with the customer.
conversion lift when fit grounds the decision
fewer fit-driven returns
built on the garments your customers already kept
For context: at a $100M brand with industry-standard returns, fit-driven returns alone are ~$12M— and that's the smaller number. The lost sale is bigger.
What your shoppers experience.
A few of the moments they feel directly.
- For shoppers — a new way to experience your brand. Shop the entire catalog by what fits, not by brand or size. New paths to discover what works for them.
- For your brand — reactivate past buyers with measured fit recommendations on every drop. Continuous cross-sell every season, grounded in what each shopper already owns.
Fit is the strongest buy signal in commerce — stronger than price, brand, or style. If it fits, they buy.

+$2–4M / yr · 3–8% conversion lift at a $100M brand

A Fit Score is where everyone ends. We start there.
Then we show the shopper their own pair laid over the new one. Each measurement point — waist, hip, thigh, knee, hem — compared and visualized. The places it pulls tight. The places it runs loose. The places it's perfect.
Fit data — made visible. Made simple. Made shoppable.

“Runs small,” “true to size,” “has stretch” — from real garment data, not scraped reviews.
Per-SKU data fingerprints factory-to-factory drift before it spikes returns.
A size rec on a season-one SKU with zero purchase history.
Questions brands ask first.
The procurement-and-integration questions that come up most often. If yours isn't here, talk to us.
Turn fit into your next sales channel.
30 min · No NDA · One-pager after
1M+ garments measured · 10,000+ sellers · built by the team behind Size.ly

