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ToolTrue Fit/10 trustVerified

True Fit

Fit personalization for apparel and footwear: size recommendations, fit intelligence, and an agentic AI shopping experience.

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About

True Fit helps shoppers buy clothes that actually fit. Its platform draws on nearly two decades of purchase and return data across tens of thousands of apparel and footwear brands to recommend the right size and explain how a garment is likely to fit and feel. Retailers embed it to cut fit-related returns and lift conversion.

In 2026 the company launched an agentic AI shopping experience, a conversational fit and sizing layer available to early-adopting retailers, and partnered with Glance to bring fit intelligence into agentic commerce and virtual try-on. It is a B2B platform sold to retailers and brands, headquartered in Boston.

What it can do

  • AI size and fit recommendations
  • Fit Intelligence Layer API
  • Agentic AI shopping experience
  • Return-rate analytics
  • Integration with agentic commerce platforms
  • Fit-aware virtual try-on (via Glance partnership)

Setup

Enterprise onboarding with True Fit; integrate fit widgets or APIs into product pages and checkout flows.

Prerequisites

Retail or brand account; product catalog feed.

Use cases

personalized size recommendationsfit-related return reductionconversational shopping agents with fit guidancefirst-party shopper data enrichmentvirtual try-on with fit intelligence

Works with

retailersbrandsecommerce-teams

Trust score — 8/10

/10 trustVerified

Scored 8/10 (TIER verified, metrics-v1). Evidence: press releases document the February 2026 agentic AI shopping launch and the September 2026 Glance partnership; ~20 years of fit data and a global retailer network are consistently reported; Boston HQ and enterprise client base established. Strengths: deep proprietary fit dataset, live product launches in 2026, clear B2B adoption. Docked for: (1) dataset scale figures ($500B+ transactions) are company-reported; (2) no public pricing or self-serve tier. License: proprietary SaaS.

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
9.0/10
Maintenance · recency, releases, issue load
9.0/10
Openness · license + docs
4.0/10
Manual review · sanity read + red-flag check
7.0/10
  • · Feb 2026 agentic AI shopping launch and Sep 2026 Glance partnership documented via press releases
  • · ~20 years of fit data, Boston HQ, global retailer network consistently reported
  • · Dataset scale figures company-reported; no self-serve tier

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.