Is the try-on generative AI?

Try Ware uses AI for virtual try-on and style discovery. The exact model stack is scoped per product — we do not name a lab we do not run.

Can this sit on an existing Shopify store?

Often as a companion experience plus APIs. Whether checkout stays on the existing store is a product decision.

Do you also build the warehouse side?

When needed. Dispatch labels and order states are already in our business-app set.

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Fashion app development

Fashion App Development Company

AppsAura is a fashion app development company for catalogues, drops and storefronts with inventory truth — and for AI features that sit on a real product. Try Ware is our virtual try-on and style discovery product: see a look, try it digitally, shop with less guesswork.

Plan a fashion product Mobile app development →

Fashion app development — Try Ware AI virtual try-on

Industry challenges

Lookbooks that cannot check stock.
Try-on demos that never become a shoppable flow.
Drops and variants that break when size, colour and warehouse disagree.
Returns driven by ‘it didn’t look like the photo’ with no pre-purchase confidence tool.

How AppsAura builds fashion products

Try Ware: AI-powered virtual try-on and digital wardrobe exploration.
Catalogue and drop tools with variant and inventory honesty.
Storefront apps that connect discovery to checkout, not a separate microsite.
Ops tools for labels and dispatch when the brand also fulfils.

Features we typically ship

Style discovery
AI virtual try-on
Catalogue and variants
Look-to-cart paths
Inventory honesty
Store and drop admin

Technology

Stack choices follow the product. Common pieces for this industry:

FlutterReactNode.jsAI integrationAWS

Development process

Discovery of the operator workflow → UX for empty, error and live states → engineering with a shared API → QA on real devices → launch and a named support window. See also mobile app development, UI/UX design and API and backend development.

Security and compliance

Fashion apps mix photos of people with commerce. We treat user images as sensitive, keep model inference on agreed infrastructure, and do not train public models on customer photos unless that is an explicit, consented product decision.

Relevant case studies

Try Ware — AI virtual try-on

A fashion-tech product, not a static lookbook.