3D Fit Modeling

Shoppers know their fit.
Brands see fewer
wrong-size returns.

Two phone photos create an accurate 3D body model, matched to garment measurements for a fit recommendation before purchase.

Get Early Access See How It Works
chest shoulder waist 3D BODY MODEL
The Return Problem

Apparel brands lose more to size-related returns than they realize

Handling costs remain fixed, resale value falls, and shoppers who return an item often do not reorder it in another size.

40%
Online apparel returns cite fit
Published industry surveys identify sizing and fit as a leading reason people return online apparel.
$15+
Handling cost per returned garment
Shipping, inspection, repacking, and restocking add a fixed cost whatever the garment sells for or the margin allows.
1 in 3
Returned garments lose full-price value
Wear in transit, damaged packaging, and seasonal timing can send returns to markdowns or liquidation.
How Thinx3D Works

Two photos become a fit recommendation

No app or scanner is needed. A front and side phone photo become a 3D body model, matched with your garment measurements.

Shopper takes two photos
The shopper provides front and side views from a phone through a guided capture flow on the product page, without special equipment or markers.
A 3D body model takes shape
Thinx3D reads body depth and contour from both views, producing an accurate 3D model for apparel fit recommendations.
Fit matched to each garment
The shopper's body model is matched against your garment measurements, producing a size recommendation for the item they are considering.
FRONT phone photo SIDE phone photo 3D BODY MODEL 23 body measurements extracted M Recommended: Medium Chest: good fit. Waist: slightly relaxed.
Early-Access Results

What early brand partners observed

These pilot results span August through November 2025. The sample is small, so treat them as directional signals rather than projections.

41%
Fewer size-related returns
Q4 2025 pilot cohort, measured over 90 days post-deployment
91%
Completed measurement sessions
Those who began the photo flow finished
2.1x
Conversion on fit-recommended SKUs
Against the same SKUs without recommendations in the same period
For Online Apparel Brands

When fit decides whether an order stays or comes back

From tailored menswear to fitted activewear, shoppers who understand their fit purchase with more confidence and return less. Thinx3D gives every store visitor a body-based fit recommendation, not only shoppers who already know their measurements.

  • Shopify app and REST API
  • Upload garment measurements once for fit recommendations
  • See return impact by SKU in one dashboard
Apparel team reviewing fit guidance on a laptop
Simple Integration

Add apparel fit guidance through your current tools

Add Thinx3D through the Shopify app or REST API. Authentication, measurement storage, and recommendation logic run on our side. Your team uploads garment measurements via dashboard or CSV.

product-page.js 
import { Thinx3D } from '@thinx3d/widget';

// Initialize once per page load
Thinx3D.init({
  storeId: 'YOUR_STORE_ID',
  sku:     product.sku,
  target: '#tx3-fit-widget'
});

// Listen for size selection
Thinx3D.on('size-selected', (e) => {
  cart.setVariant(e.variantId);
});

What brand partners say

We had tried size charts, measurement guides, and a static recommendation widget. None changed our return rate. Thinx3D did, because it understands the shopper's body.

Aditi Shenoy, E-commerce Director
Mid-size women's casualwear brand, early-access program partner

Ready to lower your return rate?

Speak with the Thinx3D team about adding body-based fit recommendations to your store. Early access is limited each quarter.

Get Early Access View Pricing