LOOOK.AI goes live with real-time AI powered clothing try-on feature for smart mirrors

LOOOK.AI has introduced a new feature enabling real-time AI clothing try-on within its smart mirror platform, allowing fashion brands and retailers to showcase entire collections without traditional 3D modelling or product development.

“What was a long-time dream of the fashion industry brands, has finally become a reality. We are excited about the integration of Decart SDK into our smart mirror platform, and unlocking a higher quality real-time AI clothing try-on experience, instant addition of an unlimited number of clothing items with no development needed and never before seen seamless navigation that allows the user to easily switch between tens of items,” says Dmytro Kornilov, LOOOK.AI CEO.

“Most virtual try-on platforms depend on manually created 3D assets and long production cycles,” says Kfir Aberman, Founding Member at Decart. “Our real-time generative models allow these experiences to be created directly from simple images, eliminating traditional 3D pipelines and enabling scalable, high-fidelity try-on across entire retail catalogues.”

LOOOK.AI goes live with real-time AI powered clothing try-on feature for smart mirrors

LOOOK.AI claims that, unlike traditional AR try-on solutions that require detailed 3D garment modeling, the AI-based system enables brands to integrate an unlimited number of clothing items without additional production work. Retailers can upload full product catalogues and allow users to explore and combine multiple items instantly.

The experience is controlled directly from the user’s smartphone. By scanning a QR code, visitors can navigate the mirror interface, switch between clothing pieces and combine outfits including tops, bottoms and footwear. The system allows users to experiment with different looks in real-time without touching the screen or using gesture controls.

The feature is designed for both storefront installations and in-store experiences. In storefront environments, the mirror can automatically showcase selected items to attract attention from passersby. Inside retail spaces, customers can explore collections, assemble outfits and experiment with combinations before selecting items to try physically.

The platform also includes the likes of performance analytics, photo capture and printing, allowing brands to track engagement and generate user-generated content directly from the installation.

2026 RTIH Innovation Awards

AI will be a key focus area at the 2026 RTIH Innovation Awards.

The awards are now open for entries and celebrate global retail technology innovation in a fast moving omnichannel world.

Our winners will be revealed at the 2026 RTIH Innovation Awards Ceremony, taking place at The HAC in Central London on Wednesday, 4th November.

Check out our 2025 winners here.

Our 2025 hall of fame entrants were revealed during a sold out event which took place at The HAC on 16th October and consisted of a drinks reception, three course meal, and awards ceremony presided over by award winning comedian, actress and writer Tiff Stevenson.

In his welcome speech, Scott Thompson, Founder and Editor, RTIH, said: “This is the awards’ fifth year as a physical event. We started off with just 30 people at the South Place Hotel not far from here, then moved to London Bridge Hotel, then The Barbican, and last year RIBA’s HQ in the West End.”

“But I’m conscious of the fact that, to quote the legend that is Taylor Swift, You’re only as hot as your last hit, baby. So, this year we’ve moved to our biggest venue yet, and also pulled in our largest number of entries to date and broken attendance records.”

He added: “This year’s submissions have without doubt been our best yet. To quote one of the judges: The examples of innovative developments across both traditional and digital retail spaces were truly remarkable.”

Congratulations to our winners, and a big thank you to our sponsors, judging panel, the legend that is Tiff Stevenson, and all those who attended our 2025 gathering.