AI Virtual Try-On Startups Take On Retail's Multibillion-Dollar Returns Problem

Online returns are a multibillion-dollar problem eating directly into retail margins, and the primary culprit is uncertainty over fit. A growing wave of AI startups is attacking this problem with generative AI-powered virtual try-on technology that lets shoppers visualize how clothes will look before they buy.

The Startups Leading the Charge

Catches has developed a platform that creates a "digital twin" of the shopper, enabling virtual try-ons with what the company calls "mirror-like realism." The application went live last month on luxury brand Amiri's website for a select range of clothing. Catches projects the platform can drive a 10 percent increase in conversions and a 20-to-30-times return on investment for brand partners.

Genlook has taken the Shopify route, integrating its AI virtual try-on app directly into the e-commerce platform. Shopify says the integration "removes sizing doubts, boosts buyer confidence, and drives higher conversion rates while reducing costly returns." The marketplace approach gives Genlook access to millions of merchants without requiring direct enterprise sales relationships.

AIUTA is working with fast fashion retailers to offer virtual try-ons across a range of body types, heights, and skin tones. The startup's focus on inclusivity addresses a key limitation of earlier virtual try-on attempts, which often worked well only for a narrow range of body shapes.

Google Enters the Arena

The startup wave has attracted attention from the biggest player in the room. Starting April 30, Google's virtual try-on technology will be accessible directly within product search results across Google platforms. The move integrates try-before-you-buy functionality into the largest product discovery channel in the world.

Google's entry validates the market but also raises competitive questions for startups. Retailers using Google Shopping may opt for the built-in solution rather than integrating a third-party tool, potentially squeezing startups that lack distribution advantages.

The Stakes Are Real

The economics of online returns make this a high-value problem to solve. Returns in fashion e-commerce can exceed 30 percent of sales, and each return involves shipping, processing, inspection, and restocking costs. Reducing returns by even a few percentage points can meaningfully impact profitability for retailers operating on thin margins.

The convergence of generative AI capabilities, improved 3D body modeling, and consumer willingness to engage with virtual try-on tools suggests this category is approaching an inflection point — one where AI solves a tangible business problem rather than creating a novelty feature.