Every season, the same loop: the shopper hesitates, orders two sizes, keeps one, sends one back. Reverse logistics, restocking and write-downs stay on your ledger.
Most sizing tools answer half the question. The widget answers both: “how does it look on me?” and “which size do I order?”
The shopper uploads one photograph. The garment is rendered on their silhouette — not an avatar. Drape, length and proportion, judged right on the product page.
Your size chart, cross-referenced with the garment's cut. Each recommendation carries a fit score and a fallback size for in-between shoppers.
One input flow, one UI, one measurement plan. One snippet to integrate, one component to evaluate.
Three sliders: your orders, your return rate, the share of returns avoided. Every assumption is validated against your own logistics during the pilot.
Ranges published by the industry — not FittingMe.ai promises. The pilot measures your numbers, on your catalogue.
Sources cited as published by the vendors.
You've probably evaluated a sizing tool before. Here's what has changed since.
| Capability | FittingMe.ai | Classic sizing tools |
|---|---|---|
| Try-on rendered on shopper's own photograph | Native | Avatar or model only |
| Size recommendation cross-referenced with brand chart | Per-SKU | Generic grade |
| Single, unified widget on product page | One snippet | Two vendors, two integrations |
| Image retention terms | Scoped by deployment | Varies |
| A/B test instrumentation | Pilot dashboard | Self-serve at extra cost |
| Integration scope | Pilot-scoped | Varies by architecture |
One <script> tag in your product-page template, configured against your product data, size charts and consent flow.
A photograph plus the usual size. The widget renders the garment on the shopper's silhouette and returns a recommended size with a fit score.
Conversion, return rate and revenue per visitor, tracked A/B against the agreed measurement plan.
Asynchronous loading, product-page-scoped pilots. Details are validated against your platform and catalogue data before launch.
<!-- 1 · An anchor where the widget mounts -->
<div id="fittingme-widget-container"></div>
<!-- 2 · One script tag — it builds the widget iframe -->
<script
src="https://cdn.fittingme.ai/fittingme-widget/loader/fittingme-loader.min.js"
data-container="#fittingme-widget-container"
data-api-url="https://api.fittingme.ai"
data-api-key="YOUR_PUBLISHABLE_KEY"
data-locale="fr"
data-product-id="YOUR_PRODUCT_SKU"
data-brand-slug="your-brand"
data-garment-type="dresses"
data-gender="female"
></script>A 30-minute call: one representative product page, your integration constraints, the measurement assumptions. You leave with the next steps.