Levi Strauss & Co. is accelerating its push into artificial intelligence, turning an internal hackathon project into a customer-facing virtual try-on tool as the denim giant sharpens its digital edge in a competitive retail landscape.
The initiative, centered on a generative AI concept dubbed “Imagine on Me,” emerged from the company’s first AI-focused hackathon, which brought together more than 40 cross-functional teams spanning technology, design and business functions. The tool allows shoppers to visualize how garments would look on their own bodies, offering a side-by-side comparison with traditional model imagery.
The move signals a shift beyond experimentation, with Levi’s integrating the prototype into its product roadmap as part of a broader strategy to embed AI across operations and consumer touchpoints.
Virtual try-on has become a strategic priority for apparel retailers grappling with high return rates and rising e-commerce costs. Industry estimates place online apparel returns as high as 20% to 30%, often driven by uncertainty around fit and appearance. By improving visualization and personalization, Levi’s aims to reduce returns while boosting conversion rates and customer confidence.
Also Read: Archroma and ORTA Redefine Denim with Wool Waste Dye Technology
The company’s focus on fit-driven categories such as denim underscores the commercial stakes. Unlike more flexible apparel segments, jeans require precise alignment with body shape, making digital purchasing decisions more complex and return-prone.
Levi’s AI push extends beyond consumer-facing tools. The company has been building an integrated AI ecosystem that includes internal assistants for store associates, automated workflow systems and digital styling platforms. Together, these initiatives reflect a broader transformation toward data-driven retail, where AI supports everything from product discovery to inventory management.
The hackathon itself highlights a cultural shift within the 170-year-old brand, democratizing innovation by enabling employees without technical backgrounds to develop working AI prototypes. This approach is designed to accelerate idea generation and reduce the time between concept and deployment.
The timing is critical as fashion retailers race to adopt advanced visualization technologies, including generative AI and 3D rendering, to enhance online shopping experiences. Competitors and technology firms alike are investing heavily in virtual fitting solutions, raising the risk that control of the digital customer interface.
By fast-tracking its hackathon concept into a deployable product, Levi’s is positioning itself to retain ownership of the customer experience while modernizing its direct-to-consumer channel, a key driver of margins.
The development points to a broader industry transition, where static product imagery is giving way to interactive, personalized simulations. For Levi’s, the bet is that AI can solve one of e-commerce’s most persistent challenges—helping shoppers find the right fit without ever stepping into a store.


