Sartori AI-Powered Wardrobe Management Platform
www.sartori.ai
Problem
Closets are full. But people still feel like they have nothing to wear.
Decision fatigue from disorganized, overstuffed wardrobes
Frustration with poor fit, low outfit rotation, and unsustainable fashion habits
No unified platform that combines styling, sustainability, and social validation
Billions wasted on unused or mismatched clothing, creating environmental guilt
Solution
Sartori AI – Your Personalized, AI Fashion Stylist
Digitize your entire wardrobe in minutes
Get daily outfit recommendations that actually fit your body & taste
Resell, donate, or repurpose underused clothes with 1 click
Join a style-focused community that supports mindful fashion
Product Snapshot
How Sartori Works
01
Scan clothes (photos, receipts, or barcodes)
02
Share your style + fit preferences
03
Receive instant and daily outfit suggestions & capsule wardrobe outfits
04
Shop curated items & resell what you don’t wear
05
Track your style evolution, usage & impact
Progress
We’re in MVP testing with early traction across all core areas:
Functional MVP live with wardrobe cataloging + recommendation engine
100+ early waitlist signups from sustainable fashion communities
Ongoing AI training on outfit matching, item rotation, and fit analysis
Partnerships being explored with resale platforms and eco-conscious brands
Why Now / Insights
Gen Z demands personalization & sustainability in fashion
- 65% prefer app stylists over in-person
- 70% actively resell clothing
- 40% CAGR in fashion AI tooling
No one is owning the full wardrobe lifecycle (styling → resale → refresh)
Business Model
Three primary revenue streams:
Subscriptions
- Free tier, Pro tier ($6/mo)
- Style tools, outfit engine, closet audit, resale dashboard
Affiliate Sales
- ~15% commission on matched products
- Personalized commerce without inventory risk
Resale Take Rates
- Integrated resale (Poshmark, Depop, etc.)
- Sartori gets 10–20% of GMV from wardrobe refresh
Future: • Brand analytics, trend insights • White-label AI recommendations for fashion retailers
Market Size
$3.6B AI-Powered Virtual Styling Market by 2028
- $10B+ Global Personal Styling market (Zion)
- $2.5B Virtual Styling (Grand View) growing at 25%+ CAGR
- Sartori targets Gen Z & Millennial users who want AI-powered, circular fashion tools
Meet the Team
Robert Merritt – Co-Founder & CEO/CTO
- 10+ years in AI, product strategy, Patent Contributor and e-commerce tech
- IBM Watson, Google Vertex AI, Multiple startups with exits
- Formal Education
Masters: CMU Heinz, UIUC Gies, WQU Financial Engineering, Post Grad Programs: The Wharton School & McComb AI/ML, 50+ AI/ML certs
Dr. Alvin Chin – Co-Founder CAIO
- Patent Contributor & Research Collaborator, Discovery Partners Institute / University of Illinois System.
- Contributor to 20+ patents (many pending) across: Mobile social networks, Proximity-based recommendation engines, Privacy-preserving encounter detection, AI-enhanced social graph inference.
- Search USPTO, Google Patents, or EPO using: Inventor: “Alvin Chin”, Keywords: social network, ephemeral, proximity, graph inference.
The Ask
Raising $1.2M Seed Round
💡 Use of Funds:
- Hiring (ML engineer, full-stack dev, AR design)
- Product development (AR, mobile app, resale backend)
- Customer acquisition (influencers, waitlist, PR)
🎯 12-Month Goals:
- 100K app downloads
- $250K ARR
- 1M+ items cataloged
- 15 resale partners