INNOVATIVE TECHNOLOGY

Our technologies

Fit Analytics’ solutions are powered by a vast database of garment, size, and fit information as well as purchase and return data records. Our artificial intelligence (AI) guidance helps apparel shoppers find the perfect product and fit through highly accurate, personalized recommendations, alleviating hassle and confusion for consumers and costly returns for retailers.

a laptop on a desk with code on the screen

Machine learning overview

Advanced machine learning algorithms are used to analyze garment information, purchase and return patterns, individualized body shapes, and personal preferences of shoppers to deliver personalized recommendations for the items that are most likely to align with their preferences and body, resulting in more conversions and fewer returns.

Algorithms and models

Rather than relying exclusively on brand comparison and digital twins, our machine-learning solution leverages over a decade of deep body modeling expertise and data, production size charts, and the industry's largest collection of retail sales and returns records to produce personalized guidance and accurate size recommendations.

Advanced machine learning is used to compute the similarities between shoppers’ real bodies, their actual preferences, and the retailer’s products. Based on purchase and return behavior, our algorithms calculate and recommend items the shopper will most likely keep. Fed by an ongoing closed feedback loop between recommendations and return behavior, our models continuously learn and refine themselves, ensuring high-quality, stable, accurate results.

“rebel is thrilled to join forces with Fit Analytics to offer our customers the best possible online shopping experience. We pride ourselves in leveraging the best technologies available to ensure our customers are continually inspired in their shopping journey. The world’s leading sizing solution – Fit Finder – was the best choice to support our customer-first e-commerce approach. We look forward to a long and fruitful partnership.”

James Gill

General Manager E-Commerce

Rebel

Frequently Asked Questions

How does Fit Analytics account for fit differences between brands?

Fit Analytics learns each brand's fit from that brand's own sales and returns, so recommendations reflect how your specific garments fit rather than a generic cross-brand average.

How is AI-powered sizing different from body scanning or virtual try-on?

Fit Analytics needs no scan, photo or measuring – it infers fit from shopper and garment data, so no friction or hardware dependency is introduced to the shopping journey.

How does Fit Analytics handle shopper data and privacy?

Fit Analytics's product suite is built on a privacy-by-design system. It is EU-hosted and EU-native and operates as a data processor, not a controller, as defined under GDPR.