AI that explains why products come back — and how to reduce them.
Sartori helps fashion brands identify the root causes of returns from historical data — delivering actionable, executive-ready recommendations in weeks, not months.
The $849.9 billion returns problem.
Apparel is the single most-returned category in retail — and every return quietly erases the margin on the sale that earned it.
First-generation fit tech promised 30–40% fewer returns. It delivered 2–8%. The difference is the data: engagement data doesn't transfer — outcome data does.
Returns aren't a logistics problem. They're an information problem. Brands can see that products come back — but rarely why. Buried in returns data are the cause → fix → outcome triplets that tell you exactly what to change in product, sizing, merchandising, and messaging. Sartori reads that map.
Figures sourced from Sartori's own analysis and pilot results (U.S. returns budget; measured first-gen fit-tech outcomes; demonstrated margin recovery at $200K ACV). The ~1-in-4 apparel return rate reflects a widely cited industry range.
From one CSV to a boardroom-ready plan.
Four steps. No engineering lift on your side. A repeatable path from raw returns data to prioritized action.
Upload CSV
Send historical order, product, and returns data. One export — no integration, no engineering tickets, no waiting on IT.
AI Analysis
Sartori's models cluster returns by root cause — fit, quality, color and expectation, sizing inconsistency, SKU and category patterns.
Executive Report
A board-ready breakdown of why products come back, ranked by revenue impact — written in plain language, not model output.
ROI Roadmap
A prioritized action plan: the specific fixes, the expected return-rate reduction, and the dollars each one recovers.
What lands on your desk.
Not a dashboard you have to learn. Three artifacts your team can act on the day they arrive.
Return-Driver Breakdown
Every return category ranked by revenue impact — so leadership sees exactly where the money is walking out the door.
Reverse Intelligence Overview
The headline numbers a CFO asks for — current rate, how much of it is fixable, and the dollars on the table.
Prioritized ROI Plan
Sequenced initiatives with expected return-rate reduction and payback — the first move starts in week one.
The Snapshot is the front door to a much larger system.
The Reverse Intelligence Snapshot is the first commercial offering built on Sartori's Fashion Intelligence Platform — a unified AI infrastructure spanning product development, merchandising, retail operations, consumer intelligence, returns, resale, and lifecycle optimization.
Thirteen intelligence surfaces, one substrate. We're not leading with all of it — we're earning the right to tell it. Returns is the wedge that proves the model on data a brand already owns; every surface after it compounds on the same foundation.
We're building the intelligence layer for fashion.
Bootstrapped, founder-led, and already commercial. Returns is our wedge into a lifecycle platform that compounds with every brand, every SKU, and every garment it sees. If you invest where categories get redefined — let's talk.
The vision, the platform architecture, and the go-to-market live in the deck — shared privately with qualified investors and partners on request.
Sartori Wardrobe
The consumer app isn't buried — it's repositioned. What looks like a styling product is a source of proprietary signal.
Let's find the returns you can recover.
Tell us a little about your brand. We'll come back with next steps for a Reverse Intelligence Snapshot — founder-led, no sales gauntlet.
Order, product & returns history — one export starts the Snapshot.
Ask for the deck below — shared privately, not published.