Sreenidhi
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AI Try-On Shopping

Atelia

Atelia is a concept shopping companion built around AI try-on: paste a product link from any store, see the garment on your own body. The harder design question wasn't the try-on itself. It was finding where in the shopping journey it earns its place.

Service
Product Design
Year
2026
Credits
Sreenidhi
Link
Live site ↗

Try-on is a feature, not a product. It earns its place right before checkout, where 64% of shoppers hesitate because they can't tell how an item will look on them. Anchoring Atelia at that moment framed everything that followed.

Onboarding step asking for two full-length photos to learn the shopper's body shape
Review-your-images step where the shopper confirms the photos used to build their likeness

47 surveys and 5 interviews surfaced one pattern: saving is scattered. People wishlist across four-plus retailers, then can't find anything when they're ready to buy. That turned Atelia from a try-on tool into one place to gather, try on, and decide.

Recently Added wardrobe: a grid of garments saved from different stores, each with price and source
Cart screen grouping saved items by retailer, Zara and H&M, each with a Checkout on Site action

The product maps to three modes of shopping: collecting inspiration, creating outfits on a canvas, then reviewing kept looks and sending them to checkout.

Try-on canvas: a category-tabbed grid of wardrobe items with a Generate Outfit action

Five moderated usability sessions drove the final round of fixes. The whole thing was a solo, six-week effort that ended in an interactive Figma prototype.

Try-on result: the generated outfit on a model with each item, source retailer, and price listed, plus Save Outfit and Save All Items
© 2026