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Our expertise · Garments and data

Garments and data, held to the same standard.

Recommending a size means matching two complex things: a body and a garment. We model both, then bring them together.

The garment

Every product is set up for what it is.

A size chart is not enough. Two jackets labelled "M" can have very different ease depending on their cut, fabric and use.

01

Multiple size charts

Each product is integrated with its own size chart, cut and use.

02

Ease and body-fit variants

Chest, waist and hip ease are set according to the cut.

03

Reconciled size charts

Sizes vary between brands and countries: they are normalised so they stay comparable.

04

How the product is used

Technical garment, hi-vis PPE or fashion: the context changes the right recommendation.

Fabrics

Every fabric fits in its own way.

Jeans, a jumper or a technical jacket don't hang the same way: the right size changes with the fabric.

The person

A body shape described in a few answers.

Height, weight, age, gender and a silhouette chosen from pictures. From these answers, the engine calculates the measurements that matter for the garment in question.

  • No photo, no scanner. The size recommendation relies solely on self-reported answers.
  • Deterministic. Same profile, same result.
  • Proven in the field. More than 12,000 employees equipped with workwear in 2026.
A technician checking the sleeve length of his work jacket
Data at the core

Our raw material: data.

A proprietary engine, built in-house and registered with INPI, turns a few answers into 14 girth and length measurements, then into a size, within each product's actual size chart.

1engineProprietary, from body shape to size.
14measurementsGirth and length, calculated from a few answers.
12Kemployeesequipped with workwear in 2026.
95%of recommendations accepted by wearers.
1 · Answers What the person already knows
Height 178 cmWeight 76 kgAge 41Gender MaleUpper body BalancedStomach Moderate
2 · Body shape 14 measurements, including:
Chest 101 cm
Waist 90 cm
Hips 99 cm
Neck 39 cm
Shoulder width 46 cm
Inside leg 78 cm
Arm length 67 cm
Thigh 57 cm
3 · Matching The product's actual size chart
4446485052

We move up a size from the first third of the interval: at work, comfort comes before a close fit.

4 · Recommendation
48Recommended size
for this jacket

How it works, with example values.

Body shape

Matching

Tech stack: Python API, machine learning (morphological nearest neighbours and gradient boosting), hosted in the European Union. The engine is registered with INPI.

WeeFizz workspace: Analytics section showing widget usage

Screenshot of the WeeFizz Fashion workspace, Analytics section.

The data

Data you can act on.

  • Centralised. Recommendations and profiles gathered in a secure environment.
  • Clear. Size breakdown, analysis by campaign or by product.
  • Useful for purchasing. Better anticipate demand by size and adjust orders.
Sovereignty

French technology, controlled end to end.

WeeFizz is a French company. Our engine is built by our team and belongs to us: no core component depends on a third-party tool, and your data stays in Europe.

French company

Based in Paris. A team that designs, builds and keeps improving the solution.

Our own technology

The engine, from body shape to size, is built in-house and registered with INPI.

Data in Europe

Hosted in the European Union, processed in line with GDPR.

100% encrypted

Every exchange goes over a secure connection (SSL): the same padlock you see on your bank's website.

Platform

Built for large-scale roll-outs.

Multi-campaign, multi-site

Several campaigns in parallel, across all your sites.

Roles and permissions

Each user sees only their own scope.

Security and GDPR

Encrypted connections throughout, controlled access, managed consent and traceable campaigns.

Integration

CSV and XML import, PIM connection, e-commerce platforms and API.

Talk to the team

A complex catalogue? That's our home ground.

Show us your size charts: we'll show you how they become a reliable recommendation.