AI-Personalized Try-On Vs Traditional Virtual Try-On
Traditional try-on often emphasizes visual substitution. AI-personalized try-on is more useful when it also explains what shopper-specific inputs changed the output.
Traditional try-on
Best for quick visual context. Usually lighter on personalization and explicit fit logic.
AI-personalized try-on
Potentially more useful for fit and styling guidance, but only when the page explains the inputs and limits.