Catalog governance
Decide which products and images meet the requirements before showing the try-on action.
Plan and integrate AI virtual try-on for a fashion brand with secure image handling, asynchronous APIs, catalog controls, and measurable rollout stages.

A fashion brand should launch virtual try-on as a measured product capability: select eligible catalog categories, define customer-image consent and quality rules, integrate through a secure backend, monitor completion and failure reasons, and expand only after reviewing real outputs. TryRobe provides the API, job, credit, webhook, and merchant-control layer for this rollout.
The strongest implementation is not a site-wide switch. It is a controlled path with stable product references, observable job states, retry safety, customer support handling, and truthful messaging about appearance versus exact fit.
Decide which products and images meet the requirements before showing the try-on action.
Use workspace roles, logs, credits, webhooks, and reports to support a cross-functional rollout.
Measure real brand outcomes instead of repeating generic conversion or return statistics.
That should be measured by the individual brand. TryRobe does not publish an unsupported universal conversion claim.
Yes. Business workspaces can configure a signed webhook endpoint for asynchronous completion events.
Business teams can use workspace roles, but production license keys should still be stored in controlled backend environments.
Start with one complimentary standard generation or create a Business workspace for API access.