A Stylist That Gets You. That's Wdrbe.
Wdrbe is a digital wardrobe organizer and resale platform that helps users: Digitize and curate their real-world clothing items, mix & match to create outfits virtually, sell pre-loved pieces easily, and discover outfit inspiration through a social feed and stories
⚠️ Disclaimer: Due to the confidential nature of the project, I will not be going into specific details as the solution is protected by a Non-Disclosure Agreement (NDA).
Modern users struggle to:
Remember what’s in their wardrobe
Style fresh outfits quickly
Resell clothes easily in a cluttered resale market
Find authentic style inspiration without switching between multiple apps
Create a single, fashion-forward platform that combines:
✅ Wardrobe organization
✅ Outfit planning
✅ Social inspiration
✅ Seamless resale experience
User interviews & surveys with fashion-conscious users and thrift sellers.
Key insights:
Many users photograph items manually to remember what they own.
Reselling is common, but fragmented across multiple apps.
Social discovery drives what users wear and buy.
“I wish my wardrobe felt as organized as my Pinterest board.” — User quote
Make uploading & digitizing clothes quick and delightful
Curate, save & share complete outfits effortlessly
Let users sell with just a few taps
Blend resale & social feeds to keep style authentic
Use clean, stylish visuals that feel premium
User Flows & Wireframes
Main user flows:
Add new clothing item → auto-tag details
Mix & match items → save as outfit
List an item for sale
Browse stories & feed
Follow other users and explore wardrobes
1. Digitizing items quickly
Original: manual tagging → Users found tedious
Iteration: auto-suggest category & color with image recognition
2. Balancing commerce & social
Original: separate tabs → Felt disconnected
Iteration: unified feed mixing resale and style posts
3. Visual style
Tested playful vs. premium → Settled on minimalist editorial look
What worked well:
Fast upload flow boosted user engagement
Users loved seeing others’ real wardrobes
To improve:
Explore AI outfit suggestions
Add style challenges & polls to boost engagement
Future features:
Calendar planning for outfits
Integration with purchase history