How We Think About Sizing
Body standards were the breakthrough of the early 2000s. Body distributions are the next step.
This page describes how we approach the sizing and grading problem differently from traditional fit-standard methodology, and why those differences matter for brands hitting the limits of single-mannequin work.
What body standards solved
Modern fit work was built on a real breakthrough: collecting large body-scan datasets, identifying representative shapes per demographic, and turning those shapes into reusable mannequins and size charts. Brands gained a documented fit identity. Suppliers gained a shared reference. Returns dropped. The methodology transformed an industry that previously had little data to work with.
Twenty-five years on, that methodology has reached its useful limits in three specific ways.
Three limits of single-mannequin fit work
A demographic is a distribution, not a point.
Two bodies that share the same chest, waist, and hip measurements can have meaningfully different surface geometry. The same garment will drape differently on each. Methodology that compresses bodies to scalar measurements cannot see the residual shape variance, which is concentrated in the parts of the size range customers complain about most: extended sizes, athletic builds, regional differences.
Grading is an optimisation problem, not a rule application.
Traditional grading applies pre-calibrated rules to derive size XL from size M. Those rules are valid on average, across many garments, against an assumed body. They are not adapted to a specific style, a specific fabric, a specific brand fit identity, or a specific customer distribution. A rule that holds in aggregate can break for any individual style.
Fabric is part of fit, not a footnote.
Patterns drape differently on different fabrics. A grade rule calibrated for a stable woven will produce a different fit when applied to a stretch knit, a heavy denim, or a recycled blend. Methodology that holds fabric constant cannot adapt to the fabric variation that defines modern apparel, particularly in performance, denim, and sustainability-driven categories.
Where we extend the methodology
Our work starts where traditional methodology ends. We ingest your existing body standards, your size charts, your fit identity; those are the priors we work from. We then:
Sample bodies across the distribution your standard represents, not just one mannequin per demographic.
Solve grading as a closed-loop optimisation across that distribution, with your fabric properties as part of the input, not a constant.
Return corrected pattern geometry where grading needs adjustment, alongside the diagnostic that explains why.
You don't replace your body standard. You extend its reach. The methodology compounds: better priors from your existing fit work plus better inference from our engine produce a more reliable graded pattern set than either alone.
What this looks like in practice
A brand sends us their graded DXF/CAD pattern set for a style, for example a women's structured shirt across sizes XS–XXL plus a Plus 1X–3X extension. We take their existing fit-standard size chart as the calibration anchor. We sample 50 bodies across the population that standard represents, weighted toward the brand's known customer demographics. We simulate the graded patterns across all 50 bodies, in the relevant fabric. We return: a per-size fit-risk summary, contact-and-strain visualisations on the most diagnostic bodies, and where grading needs to be tightened, a corrected pattern proposal.
The output is portable. The corrected pattern goes back into the brand's CAD workflow. The diagnostic supports the conversation between technical designer, pattern maker, and factory.
Our goal is to make sizing more accurate and more inclusive by giving the work the population-aware foundation that single-mannequin methodology can't provide on its own.
If you'd like a deeper technical conversation about how our methodology fits with your existing fit infrastructure, we run a 30-minute walkthrough on request.
Request a walkthrough