Case study · AI · Mobile app
A wardrobe app where an AI agent builds outfits from your own clothes in under ten seconds.
- Industry
- AI, fashion tech
- Scope
- Product design, development
- Stack
- React Native, Next.js, Node.js, PostgreSQL
- Outfit match accuracy
- Outfit generation time
- Wardrobe items processed at once
The challenge
What we did
- 01
A broad concept with no main action
One loop: discover, personalize, save, repeat
- 02
Too many options, too much browsing
Curated looks and guided onboarding
- 03
No reason to come back
Preferences that shape every outfit
Onboarding
Guided onboarding collects style preferences and wardrobe items, then feeds them into the outfit logic. The app gets more personal with every use.
- Structured preference setup
- Items recognized from photos
- MVP scope defined from day one
Outfits
The agent combines what you already own into complete looks, with alternatives for every item. Clear choices instead of endless scrolling.
- Outfits in under 10 seconds
- Swap any item for an alternative
- Save and reuse favorite looks
- Match accuracy
- Per outfit
