AI in Retail Launches ‘Dressing Room’ by VueModel3 min read

June 8, 2021   |   2 min read Launches ‘Dressing Room’ by VueModel Launches ‘Dressing Room’ by VueModel3 min read

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We’re pleased to announce the launch of our newest product ‘Virtual Dressing Room’ by VueModel. The product — which is an individual offering within VueModel — is an engaging tool for shoppers that allows them to mix and match looks and visualise items on models that are most relevant to their body types, sizes and ethnicities, making for an extremely personalized and inclusive dressing room experience in real time. serves 100+ global customers in the retail industry including ThredUp, Mercado Libre, El Corte Ingles and more. 

Why Virtual Dressing Rooms and Why Now?

They’re pandemic-friendly

Despite vaccination efforts, we’re seeing second and third waves shape how retailers are adapting to the crisis globally. Retail is bouncing back, the same cannot be said for brick-and-mortar formats. eCommerce sales are still at an all-time high as customers find themselves shopping online in the convenience of their own homes. They still want meaningful and relevant experiences online. Virtual dressing rooms enable shoppers to do that in a frictionless manner.

They’re high touch, at scale

Recent surveys have shown that shoppers are 3X more likely to buy products when shown on models most relevant to them. Unlike a regular eCommerce experience, the Virtual Dressing Room gives shoppers an opportunity to become their own stylists, put together different looks and visualize outfits on models on a screen from anywhere in the world.

The ability to create a one-to-one personalized dressing room experience for each shopper also poses an advantage to the retailer. It helps them increase shopper engagement and basket sizes. The ‘try before you buy’ method also enables cross selling. It improves product discovery among different clothing categories, various collections within a brand and multiple brands in a marketplace.

They support both size inclusivity and diversity

By using this inclusive AI tool with diverse models, retailers can provide a relatable experience for their shoppers. Models can be chosen based on ethnicities and body types closest to the shopper’s preference. With the Dressing Room, brands can turn first time visitors into long term customers. They can provide a holistic shopping experience that leads to faster acquisition, and eventually, retention.

“There is a massive opportunity for retailers to drop legacy practices and invest in new AI-driven technology that’s sure to change the game. With digitised models and virtual dressing room, we enable retailers to go-to market faster than they ever have, increase average order values and tackle one of fashion’s biggest problems, returns. If there was ever a time to experiment with technology like this, it’s now”, says Costa Colbert, Chief Scientist at


Ashwini Asokan and Anand Chandrasekaran launched in 2016. It is the first end-to-end intelligent retail automation platform from its parent company ​Mad Street Den​. Neuroscientists and AI experts from IBM, Intel and DARPA make up the team of 350+ employees. The company serves major retailers across the US, UK, Europe, Japan, India, Middle East and Latin America.

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ABOUT THE AUTHOR engineers bespoke AI transformation roadmaps for enterprises across industries. Retailers to resellers, auto-extracting data from files to extrapolating fashion styles, 150+ conglomerates in five continents recruit How can we help yours?