Buying clothes online has always involved a gamble. A garment that looks right on a model may hang differently on the person ordering it, and the result is a cycle of returns that costs retailers money and customers patience. Max Fashion, part of Dubai-based Landmark Group, is betting that generative AI can improve the experience.

The brand has launched what it describes as one of the region’s first virtual try-on experiences, built on Google Cloud’s Virtual Try-On API and generative AI vision models delivered through the Gemini Enterprise platform. Starting in the UAE, shoppers browsing Max’s digital platforms can see realistic previews of how garments drape, fit and move across different body types before committing to a purchase.

For many online shoppers, uncertainty is the single biggest barrier between scrolling and buying. “It helps address real purchase barriers, particularly around fit and confidence, while allowing us to create a richer and more engaging shopping journey,” explained Hani Weiss, chief executive officer of Max Fashion, who framed the rollout as part of the brand’s ambition to make fashion more accessible.

Bala Subramaniam, senior vice president and head of omnichannel at Max, seemed even more enthusiastic about the technology: “For the first time, a customer browsing on their phone has the same confidence as one standing in our fitting room”.

Also Read: Instagram Now Lets You Tune Its Algorithm, But There’s One Big Catch

Whether AI previews can genuinely match a fitting room remains to be proven at scale. The technology’s value will depend on how accurately it renders fabric and fit across the full range of bodies that shop at a value fashion brand, and on whether shoppers trust what they see enough to change their behavior.

For Google Cloud, the deployment is also a statement about where regional retail is heading. “AI-driven personalization is no longer a luxury, it is a core business imperative for forward-thinking retailers,” says Ziad Jammal, general manager for Google Cloud UAE, Levant and North Africa. If the returns data eventually backs that up, the rest of the region’s retailers will be watching closely.