AI Clothing Try-Ons

Google's AI Shopping Feature Shows How Apparel Looks on Real Models

Google's newest AI shopping feature enables individuals to make more informed decisions, reducing the likelihood of returns and promoting sustainable shopping practices.

The virtual try-on for apparel gives shoppers a better sense of how clothes look on real models by considering everything from draping and folding to stretching and clinging. This generative AI model features a diverse set of models, in different poses, representing sizes XXS to 4XL.

Trying on clothes is crucial to assess the fit and color before making a purchase, as it has the potential to increase satisfaction and avoid disappointment. With the advent of virtual try-ons, consumers now have the convenience of digitally visualizing how a garment will look on them, revolutionizing the way they shop by saving time, expanding options, and enhancing the overall shopping experience.

AI Clothing Try-ons
Virtual try-ons revolutionize the shopping experience by allowing consumers to digitally visualize how garments will look on them.
Informed Decision-making
AI technology enables individuals to make more informed decisions while shopping for apparel, reducing the likelihood of returns and promoting sustainable shopping practices.
Enhanced Shopping Experience
Virtual try-ons for apparel enhance the overall shopping experience by providing a better sense of fit and color before making a purchase.

Where This Applies

Retail
The retail industry can benefit from AI clothing try-on technology to enhance the online shopping experience and reduce returns.
Fashion
The fashion industry can capitalize on AI clothing try-on features to showcase garments on diverse models, representing a range of sizes and body types.
Technology
The technology industry can drive disruptive innovation by developing advanced AI models that accurately simulate the look and fit of clothing on virtual models.
SCORE
4.9 out of 10
GENDER
50% Men50% Women
MARKETTop markets: North America
GENERATION
  • Gen Z
  • Gen Alpha
  • Gen X
  • Millennial (primary audience)
POPULARITY
Popularity 51%
Activity 79%
Freshness 18%