A custom AI model can offer unique and tailored fashion recommendations.
As an AI, I don't have access to your internal system or
specific model, so I can't use the feature myself. However, I can help in a few
general ways:
Explain fashion concepts your model might use (e.g., style
aesthetics, color theory, seasonal trends).
Search for fashion inspiration or product images that align
with your model's outputs.
Discuss general approaches for building or refining fashion recommendation engines.
The amazing feature now called 'Try on' will enhance the 3D virtual shopping experience for customers in India. It will allow users to check out how they look in the new outfit with just a photo of the actual physical dress.
How to use Virtual Try On
Shoppers will begin seeing a “try it on” icon across
eligible apparel listings on Google. Tapping it lets you upload a photo, after
which the system instantly generates the outfit on your image. You can try
multiple items, switch colours, compare looks and even share the results with
friends for opinions.
Why it matters for online shoppers
The appeal of the feature goes beyond convenience. Online
returns for apparel remain high because shoppers often struggle to predict fit,
drape and style based on flat images. A personal try on preview could reduce
failed purchases and give buyers more confidence, especially for premium or
occasion wear.
For brands and retailers, the feature may also boost conversions as customers get a better sense of what they are buying.
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