The Fashion Genome platform for hyper-personalized sizing and conversion optimization.
True Fit is the global market leader in AI-driven fashion sizing, powered by its proprietary 'Fashion Genome'—the world's largest connected data set for apparel and footwear. By 2026, the platform has transitioned from simple size recommendation to a comprehensive 'Personalized Discovery Engine.' Its technical architecture leverages deep learning models that process data from over 80 million active members and thousands of brands. It harmonizes disparate sizing standards across global retailers, translating complex biometric data and purchase history into a single 'Fit Confidence Score.' The 2026 iteration integrates generative AI to predict garment drape and stretch on specific body archetypes, significantly reducing the carbon footprint associated with logistics. For enterprise retailers, True Fit provides a mission-critical infrastructure that reduces return rates by an average of 15-25% while simultaneously increasing conversion rates through high-intent 'Fit-to-Cart' interactions. Its API-first approach allows for seamless injection of sizing intelligence into web, mobile, and even in-store environments via QR-based digital twins.
Neural network mapping of 80M+ shoppers to 17,000+ brands to identify cross-brand fit correlations.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Probabilistic modeling that calculates the likelihood of a customer keeping a specific size.
Uses zero-party data to create a 3D digital measurement profile without requiring a camera.
Machine learning identifies 'serial returners' and adjusts recommendations to minimize logistics risk.
API-driven sizing consistency across web, mobile apps, and in-store kiosks.
Goes beyond fit to recommend items based on previously liked silhouettes and cuts.
Aggregated shopper biometrics inform brands which sizes to manufacture in higher volumes.
High-end retailers lose millions in shipping costs due to incorrect fit expectations.
Registry Updated:2/7/2026
New visitors often abandon carts due to uncertainty about a brand's specific cut.
Customers in fitting rooms often find they grabbed the wrong size, leading to abandoned sales.