Prevent the returns fit guidance could have stopped
Size-related returns can consume an estimated 22% of gross revenue through reverse logistics, restocking, and lost margin. Thinx3D addresses the issue at its source.
Size guessing drives an expensive acquisition cost
A size-related return often begins with an unsupported choice. Shoppers rely on numbers that vary by brand and cut, order what seems likely to fit, then send it back when it does not. The brand absorbs the resulting margin loss.
Thinx3D compares the shopper's body geometry with your garment measurements. The resulting recommendation rests on those two inputs, rather than a guess.
See how the model worksFit tools for apparel brands
From phone photos to garment measurements, Thinx3D connects the steps needed to show shoppers how a size is likely to fit.
Front and side phone photos, no app needed. Photogrammetry extracts 28 measurements to within 1.8 cm.
Provide your graded spec sheets, and Thinx3D maps each size to the shopper's body geometry to identify the best fit with zone-level detail.
Review returns by SKU, size, and fit zone. Measurement gaps become visible, helping teams address the products that lead to returns before the next season.
Shopify one-click or REST API. The widget appears on the product page. Integration averages under one business week.
Measurements are processed ephemerally and are not stored without explicit consent. Thinx3D is GDPR and CCPA compliant, with no biometric data retained on your servers.
Returning shoppers may choose relaxed, regular, or fitted. That preference adjusts recommendations throughout the session and informs your spec quality score.
Early-access results in numbers
The Q4 2025 pilot cohort was measured for 90 days after deployment. Outcomes differ with brand, product category, and shopper behavior.
For apparel brands tackling returns
Thinx3D is designed for online apparel. It uses phone-based body modeling and garment measurements, rather than a hardware scan or a branded size-chart lookup.
Tops, bottoms, dresses, and outerwear with graded sizing can use fit data organized around the measurement points relevant to each category.
For brands earning $2M to $50M in annual online apparel revenue, a 10-point reduction in returns can materially affect profitability and repeat purchases.
Headless and proprietary storefronts can connect through REST API and place the widget within the product page template.
Early access is limited each quarter
Each early-access partner works with us to configure garment specifications, complete an integration, and measure results. This hands-on setup limits how many brands we onboard at once.