Authors - Atrey Kantharaj Urs, Madhan Kumar Srinivasan Abstract - The proposed work presents a Mixed Reality (MR) shopping system designed to address persistent challenges in online fashion retail, including fit uncertainty, limited personalization, and the lack of immersive experiences, by integrating real-time virtual try-on, avatar-based visualization, and an AI-powered recom mendation engine. The system allows users to explore and evaluate garments as interactive three-dimensional models within their physical environment, thereby improving confidence in style and fit decisions. A hybrid recommendation frame work combines body-feature matching, content-based and collaborative filtering, contextual interaction signals, and foundational fashion design principles to gen erate personalized outfit suggestions, while an AI assistant delivers explainable recommendations and interactive guidance throughout the shopping journey. By effectively bridging the gap between physical retail and digital platforms through adaptive AI models and MR visualization, the system offers a practical alter native to conventional online shopping, demonstrating the potential of Mixed Reality to create a more immersive, intelligent, and user-centric fashion shopping experience that enhances decision-making, increases engagement, and reduces product returns.
