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AI-driven e-commerce personalization engine for hyper-relevant search, recommendations, and email marketing.

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.
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.
Explore all tools that specialize in customer segmentation. This domain focus ensures True Fit delivers optimized results for this specific requirement.
Neural network mapping of 80M+ shoppers to 17,000+ brands to identify cross-brand fit correlations.
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.
Product Catalog Sync via Google Merchant Center or custom JSON feed.
Implementation of the True Fit JavaScript library in the site header.
Configuration of the 'True Fit Pixel' for order tracking and return data ingestion.
Mapping internal size charts to True Fit global standardization tables.
API Key generation for server-side recommendations and data export.
UI/UX customization of the discovery widget to match brand identity.
Sandbox environment testing for multi-currency and multi-region accuracy.
Historical return data upload for baseline ML model training.
A/B testing setup via Google Optimize or Optimizely to measure lift.
Production deployment and monthly performance calibration.
All Set
Ready to go
Verified feedback from other users.
"Users praise the platform for its ease of use and the 'Find your fit' widget which removes the need for tape measures. Enterprise clients report significant ROI within the first 6 months."
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