Authors: Divyanshu Bisht, Neeraj Narwat, Dakshesh Chaturvedi, Dr. Shelja Sharma
Abstract: The rapid evolution of e-commerce has created an urgent Immersion shopping experiences that bridge the gap between physical and digital retail environments are desperately needed, as e-commerce continues to grow at an accelerated rate. Conventional e-commerce sites have poor customer engagement, high return rates, and an inability to appropriately depict product attributes. Through real-time product visualization, spatial interaction, and customized retail environments, this study suggests a full 3D Augmented Reality (AR) platform that transforms online shopping experiences. Customers may see products in their real-world settings before making a purchase thanks to the platform's use of WebAR technology, the Three.js rendering engine, and machine learning algorithms for product suggestion. To provide smooth augmented reality experiences on many devices, the system combines cutting-edge computer vision algorithms, real-time 3D rendering, and cloud-based processing. The outcomes of the experiment show an 82% increase in customer satisfaction ratings, a 45% rise in conversion rates, and a 67% decrease in product returns. Size uncertainty, color accuracy, and spatial compatibility are some of the major issues in online retail that the platform tackles while offering scalable solutions to merchants of different product categories.