True Fit

True Fit operates what it calls a "Fit Intelligence Layer" for apparel and footwear commerce: a data platform that converts real purchase, keep and return outcomes into size and fit guidance for online shoppers and AI shopping agents. The company describes a dataset spanning roughly 20 years of outcomes, over $616 billion in transactions, 100 million-plus shoppers, 60 million unique active products and tens of thousands of apparel and footwear brands, which it markets as the "Fashion Genome." Its models link shopper attributes (body, preferences, behavior) with product attributes (cut, material, sizing, buying trends) to produce item-specific recommendations rather than generic size-chart matching.

The product is sold in two deployment modes: a ready-to-deploy agentic AI shopping agent that surfaces fit intelligence across product detail pages, product listing pages, search and homepage placements, and access to the underlying fit, size, preference and fashion intelligence via MCP for retailers that already run their own agent or AI stack. Features include conversational answers to fit questions (stretch, structure, waist, inseam, hem), filtering listings to recommended sizes that are in stock, and persistent profile memory including household sub-profiles. A consumer-facing True Fit app for iOS and Android offers an AI style agent and a personalized shop across thousands of brands.

Earlier coverage describes the company as a personalization platform for apparel and footwear that began by solving the online fit problem and expanded into broader data-driven personalized recommendations delivered through an API, supporting retailer use cases such as search, email marketing and retargeting, plus analytics for merchandising, marketing and manufacturing decisions.

Founding story

The company was founded to apply data science to the guesswork of online apparel shopping, initially addressing whether garments bought online would fit by matching data on items a shopper already owned against items under consideration.

Business model

True Fit sells its fit and sizing intelligence to apparel and footwear retailers and brands, which embed the recommendations and shopping agent into their ecommerce experiences; it is also distributed through the Shopify App Store and as an MCP-accessible intelligence layer for third-party agents. Sales are demo-led, with prospective customers offered modeling of potential revenue lift and return savings against their own business metrics.

Retailer- and brand-side commercial relationships for platform access, described in third-party commentary as shifting toward a SaaS-heavy revenue mix.

Traction

Public materials cite 100 million-plus active users, 80-82 million registered/active shoppers, 21 billion product detail pages served annually, 29,000 to 91,000 brands covered, and results including 1-2% sitewide conversion lift, up to 40% fewer fit-related returns, a 24% return reduction at Moosejaw and 13% conversion lift with 4.7% incremental revenue lift at PacSun. At the time of its 2018 Series C the company reported more than 55 million registered users. A third-party profile states the company serves 250+ retailers.

Latest developments

Current positioning centers on agentic commerce: an AI shopping agent deployed across PDP, PLP, search and homepage surfaces, Fit Intelligence delivered to external agents via MCP, Shopify App Store availability and Shopify Plus certification, and a consumer app with an AI style agent and household fit profiles.