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For brands and retailers

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.

0.92s / garment
400+ data points / garment
Built for scale
400+ data points extracted
Measured
Catalog-ready
Unlocking a new shopping experience
Filters
Brand
every shop
Size
every shop
Category
every shop
Fit
New
Fits like
MEASURED
PAST PURCHASES
Matches in your fit
MEASURED
PAST PURCHASES

Shop by fit.
Not by size.

Lower returns. Higher sales. A new shopping experience for both new and returning buyers.

Why no one's done this right
Size Charts

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 Recommendation Widgets

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
Body Scan Tech

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
Size AI for Brands

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.

The opportunity

More sales. Fewer returns. A real relationship with the customer.

3–8%

conversion lift when fit grounds the decision

77%

fewer fit-driven returns

Real loyalty

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.

How it works

What your shoppers experience.

A few of the moments they feel directly.

Powered by Size AI.
Two uses, one platform.
  • 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.

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Shop-by-fit gallery: a past order shown next to comparable items the shopper already owns, ranked by measured fit match.

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

How it fits you, on every PDP.
Right on the PDP, shoppers see how the new piece fits against one they already own — waist, thigh, inseam, leg opening — with a single fit-match score on top. Decisions get made with confidence, not guesswork.
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Product-page fit-comparison widget: a pair of jeans with the shopper's owned pair overlaid as a measured outline, per-point fit scores, and an overall 92% fit readout.
Showing fit, not just scoring it.

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.

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Fit comparison widget detail: the shopper's owned pair overlaid on the new garment, with per-point measurement chips and an overall Fit Score readout.
Also in the data
PDP copy

“Runs small,” “true to size,” “has stretch” — from real garment data, not scraped reviews.

Drift QA

Per-SKU data fingerprints factory-to-factory drift before it spikes returns.

Day-one sizing

A size rec on a season-one SKU with zero purchase history.

FAQ

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

Measure garments, scan labels, create pro shots & product descriptions all from your iPhone. Built for sellers & retailers.

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