BodyCodes tells brands and retailers what to make, what to stock and how to sell for each body shape. Each woman’s fit is held in our database and goes with her from brand to brand.
of a woman’s shape is explained by her size, across 291,652 customer records. Knowing her size tells you almost nothing about her shape.
Two women can share a waist and a size, and still need a different cut. Brands sell “fits” like wide, skinny and relaxed. Those are leg styles, not fits. BodyCodes starts at the pattern.
Same size label · different pattern block
The same size fits women differently. So she buys, returns and tries again, hunting for clothes that fit.
GLP-1 use is shifting size curves faster than planning adjusts. GLP-1 changes size, not shape. We know how bodies change.
26 years, three iterations, nine retail venues. Others tried to copy the fit from the outside. None succeeded.
BodyCodes is an inside brand, like Lycra or Teflon: it lives inside your garment, under your own label. Everything you need to make, fit and sell by shape, licensed, certified and kept together, so the fit can’t be copied from the outside.
Pattern blocks and grade rules for four shapes in every size. A trade secret.
Pockets, zippers, rise and the styles that work best for each shape, from research.
From design and pattern making to factories and fit customer service.
Garments checked against each shape before they carry the mark.
A few questions and two photos assign each shopper her BodyCode, so she finds what already fits.
Co-branded launches, packaging, store signs and the label inside the garment.
How many of each shape to make, by store, region and season, before the factory cuts. Four shapes in every size gives your planners four times the detail in every size curve. Included in the platform license.
Media and creative aimed at each shape, so the right woman sees the right fit and demand matches what you made. A marketplace add-on.
Checks every garment against every shape before it ships and carries the Powered by BodyCodes mark. Included in the platform license.
Shows each shopper what fits her shape. Agentic AI and a learning center answer her questions. API tested at Nordstrom, QVC and direct to consumer.
correct fit from the second purchase on, and 84% on the first, in direct to consumer. The industry delivers about 30%.
Sources: the founder’s prior companies, including Little Black Pant records; Intelligent Handshake modeling, 2017. The industry figure is a company estimate. Patent application filed September 9, 2026.
Sign the platform license, then start with one or two styles in a joint pilot. Measure it against the same style without BodyCodes.
“Size is the broken part, so sorting women by size can’t fix fit. We start at the pattern.”CRICKET LEE · FOUNDER AND CEO
We work with a small number of brands and retailers each season. Tell us about your bottoms line and we’ll scope a pilot together.