Photo-Based Fit Previews

Tesco Tests AIUTA Try-On Screen for F&F

Tesco is testing an in-store virtual try-on for F&F clothing that lets shoppers preview outfits on their own image before they commit to a purchase. Built with AIUTA, the fitting screen in Sandhurst Extra also lets people switch to a digital model to see how different sizes look.

The trial covers about 1,500 menswear and womenswear pieces, so the screen is tied to a real shopping trip rather than a tiny demo. It also sits inside a refreshed F&F area with updated fitting rooms and a returns-and-checkout hub, trimming some of the friction around trying, buying and bringing items back.

For shoppers, this means fewer blind buys when browsing Tesco's fashion floor and a faster way to test unfamiliar looks without heading straight into a changing room. Grocery retailers with clothing lines now have a clearer way to turn a routine store visit into a more guided fashion decision.

Image Credit: Tesco

Photo-based Try-ons
Personalized in-store previews reduce uncertainty around fit and style while turning static retail displays into interactive decision tools.
Hybrid Fitting Rooms
Blended physical and digital fitting experiences create new space for retailers to shorten trial time, surface size guidance and support higher-confidence purchases.
Routine Fashion Discovery
Grocery-led apparel browsing gains fresh relevance as everyday store visits become connected moments for experimentation and outfit planning.

Industries Being Reshaped

Grocery Retail
Supermarkets with apparel lines can differentiate routine shopping trips through embedded fashion technology that increases engagement beyond core food purchases.
Fashion Retail
Apparel sellers benefit from AI-enabled visualization systems that address sizing friction, returns pressure and hesitation around unfamiliar styles.
Retail Technology
Virtual try-on platforms gain commercial traction as retailers seek scalable tools that connect product catalogs, shopper images and in-store conversion journeys.
SCORE
6.9 out of 10
GENDER
50% Men50% Women
MARKETTop markets: Europe
GENERATION
  • Gen Alpha
  • Gen Z (primary audience)
  • Millennial (primary audience)
  • Gen X (primary audience)
POPULARITY
Popularity 50%
Activity 58%
Freshness 100%