Scarves VTO is a virtual try-on solution powered by advanced AI and AR that lets users instantly try different neck scarf styles. It detects neck and upper chest contours to simulate scarf placement, draping, and fabric flow with stunning realism.
Users can toggle between multiple scarf types and compare between them.
AI detects the user's neckline and shoulders for natural, lifelike scarf placement.
Vibrant prints, solids, and gradients are displayed true-to-life and adapt to lighting and skin tone
AI detects the user's neckline and shoulders for natural, lifelike scarf placement.
Vibrant prints, solids, and gradients are displayed true-to-life and adapt to lighting and skin tone
Works with live camera feed, uploaded photos, or short videos
Accurately represents texture and movement of materials like silk, satin, or wool.
Users can toggle between multiple scarf types and compare between them.

Customers interact longer thanks to personalized, playful try-on experiences.
When customers can see fit, color, and drape, they buy more confidently and return less.
Encourages customers to explore new styles, materials, and seasonal collections.
Adapts scarf rendering based on the user’s body proportions and complexion.
Seeing scarves styled in context leads to higher add-to-cart and checkout rates.
Optimized for mobile, desktop, tablet, and smart in-store screens.
Customers interact longer thanks to personalized, playful try-on experiences.
When customers can see fit, color, and drape, they buy more confidently and return less.
Encourages customers to explore new styles, materials, and seasonal collections.
Adapts scarf rendering based on the user’s body proportions and complexion.
Seeing scarves styled in context leads to higher add-to-cart and checkout rates.
Optimized for mobile, desktop, tablet, and smart in-store screens.
Customers interact longer thanks to personalized, playful try-on experiences.
When customers can see fit, color, and drape, they buy more confidently and return less.
Encourages customers to explore new styles, materials, and seasonal collections.
Adapts scarf rendering based on the user’s body proportions and complexion.
Seeing scarves styled in context leads to higher add-to-cart and checkout rates.
Optimized for mobile, desktop, tablet, and smart in-store screens.
Customers interact longer thanks to personalized, playful try-on experiences.
When customers can see fit, color, and drape, they buy more confidently and return less.
Encourages customers to explore new styles, materials, and seasonal collections.
Adapts scarf rendering based on the user’s body proportions and complexion.
Seeing scarves styled in context leads to higher add-to-cart and checkout rates.
Optimized for mobile, desktop, tablet, and smart in-store screens.
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