True Fit

True Fit is an AI-powered data platform that decodes size and fit for the apparel and footwear industries, aiming to solve the persistent challenge of online returns and customer dissatisfaction. Its core value proposition lies in connecting first-party shopper data with extensive product attributes and a vast dataset of fit preferences to deliver highly accurate, personalized size recommendations. This reduces friction in the shopper journey, boosts conversion rates, and significantly lowers return rates by helping customers confidently select the right size the first time.

Key features: The platform offers a suite of capabilities including the 'Fit Finder' quiz that collects user preferences, AI-driven size recommendations integrated directly into product pages, and detailed fit insights that explain why a specific size is suggested. It provides analytics dashboards for retailers to track metrics like fit confidence and return reduction. For in-store applications, it offers solutions to bridge online and offline experiences, allowing associates to access a customer's fit profile to assist with recommendations.

What sets True Fit apart is its proprietary 'Genome' data platform, which aggregates and analyzes data from millions of users and thousands of brands to build nuanced fit models. This extensive dataset, combined with machine learning algorithms, allows it to make predictions that go beyond simple size charts by considering body shape, brand-specific fit, fabric stretch, and individual style preferences. It integrates seamlessly with major e-commerce platforms like Salesforce Commerce Cloud, Shopify Plus, and Magento, as well as with product information management (PIM) and order management systems (OMS).

Ideal for large-scale fashion retailers, footwear brands, and department stores operating primarily online or in an omnichannel capacity. It is particularly valuable for enterprises struggling with high return rates, seeking to improve customer loyalty and lifetime value, and wanting to leverage shopper data for personalized marketing. Specific use cases include integrating fit guidance into mobile apps, enhancing product detail pages, and empowering sales associates with customer fit data in physical stores.

As a freemium enterprise solution, specific pricing is customized based on the retailer's size and needs, typically involving an annual subscription fee. The platform is designed for significant ROI through reduced returns and increased sales, making it a strategic investment rather than a simple software purchase.