Size-Replicating Try-On Technologies

Google Shopping Debuts Virtual Dress Try-Ons in the U.S.

Google Shopping has expanded its generative AI-enabled virtual try-on feature to include dresses in the U.S. This update aligns with the New York Fashion Week kickoff, marking a significant moment for integrating technology and fashion. In collaboration with the ready-to-wear label Simkhai, select dresses will be available for virtual try-on and pre-order immediately following the brand’s runway show on September 7.

The AI-driven virtual try-on feature utilizes Google’s advanced generative AI model to manipulate images of clothing, allowing consumers to see how items will look on a wide range of body types. The feature aims to be inclusive by mimicking sizes from XXS-XXXL on accurate models.

“Virtual try-on images on Search receive 60% more high-quality views, and on average, people try on clothes using four models per product,” Google said in a press release. “Shoppers are also more likely to visit a brand’s site after viewing virtual try-on images.”

Image Credit: Google Shopping

Virtual Try-on Enhancements
Advancements in virtual try-on technologies allow consumers to visualize clothing accurately on diverse body types, driving higher engagement and conversion rates.
AI-powered Fashion Integration
Integration of advanced generative AI in fashion retail enhances customer experience by providing personalized and realistic previews of clothing items.
Inclusive Size Representation
Emphasis on inclusive size representation through AI-driven tools promotes body positivity and accessibility, catering to a broad spectrum of consumer needs.

Industries Being Reshaped

E-commerce
E-commerce platforms benefit from AI-powered virtual try-on features, which improve customer satisfaction and reduce return rates.
Fashion Technology
The fashion technology industry sees innovation opportunities in integrating AI to create more personalized and engaging shopping experiences.
Retail
Retailers adopting virtual try-on solutions can attract tech-savvy shoppers while offering a more interactive and intuitive buying process.
SCORE
5.7 out of 10
GENDER
50% Men50% Women
MARKETTop markets: North America
GENERATION
  • Gen Z
  • Gen Alpha
  • Millennial (primary audience)
  • Gen X (primary audience)
POPULARITY
Popularity 68%
Activity 71%
Freshness 32%