AI-Powered Visual E-Commerce

Abstract: The explosion of social media and artificial intelligence (AI) has turned online shopping more interactive and engaging. This research introduces AI-based Visual E-Commerce, a novel platform that combines short-form video content (reels) with AI-based personalized product recommendations. Drawing inspiration from Instagram and Flipkart, this system facilitates users to browse clothing items through dynamic reels, using computer vision and machine-learning algorithms to interpret user preferences and make suitable apparel recommendations. The design increases user engagement by offering an immersive, scroll-driven shopping experience where customers can effortlessly switch from watching reels to buying products. The recommendation engine employs deep learning concepts to forecast user interests by analyzing watching patterns, interaction behavior, and purchasing history. Besides, the platform integrates natural language processing (NLP) and sentiment analysis to enhance product recommendations and enhance customer satisfaction. The outcome of prototype deployment reveals higher user interaction and conversion rates than standard image-based e-commerce sites. This research presents the capabilities of AI-based visual commerce to revolutionize digital retail with an intelligent and engaging shopping experience.