Works with existing catalogs
Associate stable product URLs and titles with try-on requests for merchant reporting.
Add AI virtual try-on to an ecommerce storefront through a secure merchant-backend workflow, asynchronous jobs, and signed result delivery.

A fashion ecommerce brand normally adds a customer-facing try-on interface to its product page, sends approved images to its own backend, and calls TryRobe from that trusted server. The backend stores the job ID, receives a signed webhook or checks status, then provides the protected result to the shopper.
This separation keeps license keys out of public code and lets the merchant enforce consent, product eligibility, rate limits, session controls, and brand-specific UX. TryRobe handles generation orchestration, credit safety, operational logs, and result delivery.
Associate stable product URLs and titles with try-on requests for merchant reporting.
Avoid keeping a product-page request open while generation runs.
Begin with eligible categories or a pilot collection before expanding.
TryRobe can improve product visualization, but no return-rate claim should be made without controlled merchant data. Fit, quality, size, and expectation issues have many causes.
Start with products that have clear, consistent catalog imagery and meaningful visual value, then evaluate real completion quality and shopper feedback.
Yes. Each merchant should have an appropriately scoped Business account and secure backend integration rather than sharing secret keys in public code.
Start with one complimentary standard generation or create a Business workspace for API access.