How to add AI virtual try-on to an ecommerce website
A durable virtual try-on integration is more than an upload button. It needs catalog rules, customer consent, a protected merchant backend, asynchronous state, retry safety, private result delivery, useful failure handling, and measurement that excludes personal images.
Reviewed and updated 29 August 2026
1. Select eligible catalog products
Audit product images for clarity and choose categories where a visual preview is useful. Begin with a controlled pilot rather than enabling every SKU.
2. Design the customer experience
Explain image requirements, consent, expected wait, result expiry, and the difference between appearance visualization and exact sizing.
3. Build the secure backend
The storefront sends approved data to a merchant endpoint. That endpoint stores the TryRobe license key, creates an idempotent job, and returns a safe merchant reference.
4. Handle completion
Verify signed webhooks and retain authenticated polling. Persist state so closing a tab or app does not lose the job.
5. Measure responsibly
Track anonymous starts, completions, failures, eligible-product engagement, and business outcomes. Never send customer photographs or signed URLs to analytics.
Frequently asked questions
What is the smallest useful pilot?
A focused set of products with consistent images, one storefront entry point, clear support ownership, and enough real sessions to review quality and failures.
Should the license key be used in frontend code?
No. Always call TryRobe from a merchant-controlled backend.