Paris / Sydney FREN

Made bymakers.

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Two clicks for your shoppers. 9 years of making clothes behind every size.
02 — Size and fit 3 fits per product

Not just the size. The fit they want.

Live on the product page

Waist / inseam

Based on people with a similar body shape, we're confident that a size M/30 will give you the same fit as the photos.

01 Premium denim
PatternNew customer acquisition
BrandKsubi
VerticalPremium denim
SeasonQ4 '26
+64% Fit-Guided Revenue
Denim Is Hard to Buy Online. Ksubi Made It Easier.
Read case study →
02 Sustainable basics
PatternConversion lift
BrandBoody
VerticalSustainable basics
SeasonQ3 '26
+$700k Annual Revenue
Adding $700k Through New Customers at Boody
Read case study →
03 Sustainable womenswear
PatternAOV uplift
BrandKowtow
VerticalSustainable womenswear
SeasonH1 '26
+23.3% US AOV
Bridging the Sizing Gap Across Borders
Read case study →
03 — Two clicks, not a quiz 66% fewer clicks

2

Magic Fit

Clicks to a size. Open the form, then submit height, weight, age and bra size on a single screen.

The advice you'd get in store, without the quiz.

  • 3–8

    Questions elsewhere

    Spread across several screens, and the cross-brand ones ask what size your shopper wears in somebody else's brand.

  • +1

    Scan and photo vendors

    Literally nobody wants to take a photo or body scan in their underwear just so they can shop online.

04 — Measure the garment Points of measure

You can't fit a body to a garment nobody measured.

Fit is the gap between a body and a garment. A sizing tool that never asks for your garment measurements only knows half of it.

Without garment measurements

Purchase history
It learns which label people kept. A new style has no history, so it has no answer.
Other brands' sizes
A medium isn't a measurement. It moves from brand to brand, and from style to style.
A body scan
It knows the body to the millimetre, and nothing about the cloth going on it.

With them

Points of measure
Half chest measured flat, high point shoulder to hem, rise, thigh. Read the way your factory reads them.
Grade
A size up often buys width, not length. We size on the measurement that moves.
Ease and stretch
A poplin shirt is cut bigger than the body. A swimsuit is cut smaller and stretches to fit. Same chest, opposite maths.
Calibration
A spec sheet says how the designer meant it to fit. Shoppers don't always wear it that way: the oversized tee sized down, the slim jean sized up. We calibrate each style to the size people actually wear.
05 — No competitor questions 0 brands named

0

Brands named

We don't ask because we don't need to. Magic Fit is trained on the data required to make clothes, not on what someone bought somewhere else.

It's insane for a monobrand to ask customers what size they are in a competitor's products.

06 — Made by people who make clothes 100,000+ garments

9

Years making clothes

Magic Fit started on the factory floor at Citizen Wolf, where a wrong size means remaking the garment. Every recommendation runs on what it takes to cut one that fits.

Sizing is a manufacturing problem before it's a software one.

  • 100k+

    Made-to-measure garments

    Each one cut for a single body, from four things that person already knew about themselves.

  • 196M

    Data points

    From over 8,000 people and 2,000 tailoring sessions in our first shop, not inferred from what shoppers bought somewhere else.

07 — The standard

The questions to ask any sizing vendor.

Source: competitor audit, 30 June 2026. Only what the sections above haven't already covered.

Capability Magic FitCross-brandScan / photoSize-chart apps
Merchant fit + demographics analytics Yes Yes Partial No
Beyond Shopify; Magento, BigCommerce, headless, API Yes Yes Partial No
Usage-based pricing, no annual commitment Yes No Partial Yes
MCP server for agentic shopping apps Yes No No No
Live conversational shopping assistant Roadmap Yes No No
08 — The whole catalogue, in a fortnight 100% / 7–14 days

Live on 100% of your store, in 7–14 days.

Magic Fit, every product from launch100%

  • Cross-brand, waits for purchase history per stylePartial

  • Scan / photo, needs per-product capturePartial

  • Size-chart apps, only what already has a chartCharted only

Not a pilot on your best sellers. Every product from launch; Magic Fit works from the size charts and product data you already have.

A model trained on cross-brand purchase history has to ask about other brands and wait for history before a garment is covered.