Challenge
AI try-on can easily remain a one-off demo: upload two images, receive a generated image, and leave. The product challenge was to turn that result into a repeatable mobile experience.
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Snapcast
PERSONAL TRY-ON
A mobile AI fitting room that turns a user photo and an outfit image into a saved, comparable try-on result.
Mobile UXAI try-on flowImage input workflowResult comparisonSaved gallery
Solution
I shaped the product around source image selection, AI generation, result comparison, and gallery storage so the output becomes part of a usable product flow.
Impact
Instead of presenting the AI model itself as the product, Snapcast places generation inside a shopping, styling, comparison, and saving workflow.
Product Flow
How the experience becomes repeatable.
Create new try-on
- Choose a personal photo
- Choose an outfit image
- Generate an AI fitting result
- Review the completed try-on
Compare and save result
- View the generated result
- Compare it with the original personal photo
- Compare it with the outfit source image
- Save useful results to the app gallery
Return to previous fittings
- Open the app home
- Review recent or saved results
- Revisit a result detail screen
- Use previous fittings as a styling reference
Coverage
Core scope, grouped.
- Mobile app home
- New fitting
- Photo selection
- Outfit selection
- AI result detail
Try-On System
Not a static screenshot gallery. A product loop.
The refreshed Snapcast app makes the loop clearer: choose a personal photo and outfit, generate the try-on, inspect the result, and return to saved fittings from a gallery built for reuse.
Create
Generate
Review
Gallery
