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Fashion · AI development

Try Ware — fashion AI try-on case study

Try Ware brings AI and fashion together so people can visualise how outfits could look before they buy.

Try Ware AI virtual try-on fashion app concept screens

Project overview

Try Ware brings AI and fashion together so people can visualise how outfits could look before they buy.

Client / business problem

Fashion discovery was a static lookbook; guesswork drove returns and abandoned carts.

Industry and target users

Industry: Fashion. Shoppers exploring styles digitally who want more confidence before purchase.

Solution

AppsAura built virtual try-on and style discovery on a real product: explore looks, reduce guesswork, shop smarter.

Features

UI/UX

See it. Try it. Love it. The AI feature is in the path to a decision, not a detached demo reel.

Technology stack

Mobile / webAI try-onCatalogue integration

Development process

Scope the try-on as a product feature, UX for capture and results, engineering, evaluation of the AI path, QA.

Challenges

Keeping inference useful under real photos. Not claiming a lab we do not run. Connecting discovery to inventory when the store exists.

Results

A practical AI feature on a fashion product. No fabricated conversion percentages.

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