Real example: same person, before and after.
A virtual fitting room should solve a defined merchandising problem, not become an isolated novelty. Before choosing software, decide whether the goal is to help shoppers compare colours, understand silhouettes, build complete looks or increase confidence on a specific high-consideration category.
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Create my free previewStart with a coherent category whose images are consistent. Dresses, tops and outerwear are usually easier to explain than launching every category at once. Select products with clean front-facing photography and reliable variant data.
The output depends on both inputs. Product images should show the complete garment without hands, props or heavy folds covering it. Shopper guidance should request a well-lit, front-facing photograph with a visible body outline.
The try-on entry point belongs close to colour and size selection, but it must not block the normal purchase path. Show upload guidance before asking for a photo, keep progress states clear and return the shopper to the same product and variant after the preview.
Use language such as “visualise this style” or “preview this look”. Do not describe an image generator as a precise size predictor unless the system actually uses validated measurements. Keep the retailer's size guide and fit reviews accessible beside the preview.
Document why photos are processed, where processing occurs, how long files are retained and how deletion works. Consent text should be understandable before upload, especially when serving multiple European markets.
Track preview starts, successful completions, product-page return rate, add-to-cart after preview and downstream order behaviour. Compare against a suitable control group and allow enough time for category and device differences. Avoid claiming a return-rate improvement until completed orders and returns have matured.
If the first category shows useful engagement and commercial movement, expand to adjacent categories and translate the guidance for each market. Preserve one measurement framework so results remain comparable.
Teams evaluating an integration can review Agalaz for ecommerce. Shoppers can test the consumer virtual try-on to understand the experience first.