True Fit Announces Agentic Commerce Agent - Solves Fit/Sizing-Driven $850B Returns Crisis скачать в хорошем качестве

True Fit Announces Agentic Commerce Agent - Solves Fit/Sizing-Driven $850B Returns Crisis

True Fit is evolving from a static “what size should I buy?” widget into a conversational agent that can handle the nuanced questions shoppers actually ask: comfort, flattering fit, fabric behavior, and edge cases like petite proportions. We also dig into how vertical agents (like True Fit) can accelerate horizontal super-agents via Model Context Protocol (MCP), and why the future of agentic shopping will be built on clean, structured, prioritized proprietary data, not scraped internet sentiment. Highlights True Fit’s specialized size + fit agent (and why it matters now) Why 70% of fashion agent questions are about size/fit The “Fit Passport”: from form-filling to natural conversation profiling What generic agents miss: real-time sales + returns behavior, not just PDPs/reviews Vertical vs. horizontal agents, and how True Fit uses MCP as an accelerant The unglamorous moat: data cleaning, normalization, canonicalization True Fit scale: 80M active users, hundreds of millions of profiles, ~100K brands, ~500 retailers If agentic commerce is collapsing the funnel, fit is one of the biggest friction points left, and True Fit is making it a first-class agent powered by the kind of data most models will never see. Timestamps 01:44 — Breaking news episode + guest intro (Jessica Murphy, True Fit) 03:12 — True Fit announces a specialized size + fit agent 04:20 — From static widget to agentic shopping assistant 05:47 — Why fit-related returns are so brutal in apparel 07:02 — What the agent experience looks like 08:05 — “Fit Passport” and conversational profiling 09:07 — Where checkout happens (and what’s coming later) 10:17 — Why generic agents break: stale info + limited context 11:35 — The moat: structuring + cleaning sizing data 12:30 — Vertical vs. horizontal agents 13:29 — MCP as an accelerant for super-agents 15:18 — Top-of-funnel value: narrowing choices to “most likely kept” 16:10 — Who might use TrueFit’s MCP (LLMs + agent builders) 16:37 — Availability: March partners, April target GA 18:01 — Founder story: why Jessica started TrueFit 19:41 — Fundraising reality + “it’s a data problem” 21:16 — True Fit scale + global complexity of sizing 👉 Connect with Jessica:   / jessica-murphy-68a8b8   👉 Learn more about True Fit: https://www.truefit.com/ 🧠 Want to stay ahead in AI commerce? Subscribe and follow along: 📰 Subscribe to the free Substack: retailgentic.ai 📺 Watch episodes on YouTube & Subscribe for updates 🎧 Listen wherever you get your podcasts: Spotify, Apple, etc: https://retailgentic.transistor.fm #Retailgenic #AgenticCommerce #AIinRetail #Ecommerce #FashionTech #Returns #FitTech #MCP #ProductData