Volume 2 - Issue 2, March - April 2026

The inclusion of Artificial Intelligence (AI) in fashion retail has paved ways for new-generation personalized experience solutions for shoppers. In this context, this research work introduces an AI-driven outfit recommendation platformthat utilizes real-time webcam feeds and store inventory information for personalizedclothing recommendations. In this proposed platform, by utilizing the webcam, it captures the user's physical characteristics, facial expressions, and fashion preferences, which are processed by advanced AI-driven algorithms for analyzing bodymeasurements, color matching, and fashion trends on one hand, and on the other hand, this platform also interfaces with the store inventory for ensuring that suggestedclothing is feasible and available in real-time. The result of this proposed AI-driven platform satisfies customer engagement needs by providing shoppers with virtual clothing trials and also enhances buyingconfidence for customers by ensuring that customers get their preferred clothingchoices via optimized inventory and intelligent AI-driven algorithms that result inincreased inventory efficiency and purchasing conversion for stores.

Dr.M.Kayalvizhi, Deepak A,"AI-Based Outfit Recommendation Using Webcam and Shop Inventory" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(2): Page(818-833) Mar-Apr 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.