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97% size accuracy
·
Live in 48 hours
·
Up to 79% fewer sizing returns
·
20× conversion lift on AI-sized orders
·
No developer needed
·
97% size accuracy
·
Live in 48 hours
·
Up to 79% fewer sizing returns
·
20× conversion lift on AI-sized orders
·
No developer needed
·
About

Bridging the gap between brands and bodies.

Stereotyped is AI sizing intelligence built for fashion brands that are done losing revenue to fit uncertainty. We connect what consumers need with what brands can give — instantly, accurately, at scale.

Isabelle Quinn
Reina Reversible Top
Reina Reversible Top — Camellia Floral
$145.00 AUD
Size Size guide
AU 4
AU 6
AU 8
AU 10
AU 12
Size Advisor
ENTER YOUR DETAILS (1/5)
32
Female
173cm
65kg
Size Advisor
YOUR STOMACH? (2/5)
Flat
Average
Broader
← BACK
Size Advisor
YOUR CHEST? (3/5)
Lean
Average
Broader
← BACK
Size Advisor
YOUR HIP? (4/5)
Lean
Average
Broader
← BACK
Size Advisor
Based on your previous input
Reina
RECOMMENDED: AU 8
Confidence: 96.7%
Size AU 8 will sit perfectly on your body.
IN STOCK
Start new measurement
Size Advisor
Based on your previous input
Reina
RECOMMENDED: AU 8
Confidence: 96.7%
Size AU 8 will sit perfectly on your body.
IN STOCK
Start new measurement
Browse product
Our mission
To make size the last reason a customer ever returns something — by giving brands the intelligence to get fit right the first time.
Courtney Hutchins — Founder, Stereotyped
Founder
"I built this because I was tired of guessing my size — and tired of watching fashion brands haemorrhage margin on a problem that has a very clear solution."

Seventeen years in public accounting — including deep work with fashion e-commerce brands through Pland Accountancy Studio — gave Courtney something most founders don't have: she saw returns as a P&L problem long before she saw them as a product opportunity.

She also lived the problem. Shopping with a top that fits an 8 and hips that need a 10–12, she understood firsthand how broken online sizing is — generic size charts, no standardisation, and no intelligence connecting what a body needs with what a garment delivers.

In December 2022, reading about Afterpay on a flight, something clicked. Nick Molnar hadn't invented credit — he'd bridged a gap between two parties who couldn't communicate. Courtney saw the exact same dynamic in sizing. Stereotyped is the conduit.

C. Hutchins
Courtney Hutchins  ·  Founder + Director

Why sizing is broken

The fashion industry has a sizing problem that goes deeper than vanity metrics. It's structural, expensive, and largely invisible to brands until it shows up as a returns line item that nobody wants to talk about.

Stereotyped was built to fix the three root causes.

01

Generic charts, specific bodies

Most brands use generic size charts that don't reflect the actual dimensions of individual garments. A size 10 dress and a size 10 jacket can fit entirely differently — and consumers have no way to know that without trying it on.

02

Fit models don't represent reality

Grading from a single size 8 fit model — who is often taller than the median size 8 customer — distorts the entire size range. Small brands can't afford fit models across every size, so they guess. Those guesses compound into structural sizing problems across the whole range.

03

Returns treated as cost, not signal

Brands absorb returns as a sunk cost instead of reading them as data. Every return is a customer telling you exactly what went wrong with your fit. Stereotyped turns that signal into intelligence — so brands can fix the problem, not just absorb it.

stereotyped.