Custom Cart – Virtual try-on in e-commerce platforms using generative AI
Abstract
Abstract—Custom Cart is a virtual try-on e-commerce system that uses generative AI to Allow users to virtually try-on different clothing. The system enables customers to upload their photo and visualize themselves wearing clothing of their selection, simulating an in-store fitting room. This feature reduces uncertainty about their purchases, minimizing return rates. The platform leverages COMFYUI, a Python-based framework, that works by using different nodes to process images and generate realistic try-on results. By integrating large language models for masking and creating segments in the user's image and image-generation AI, Custom Cart will improve personalization, improve user engagement, and enhance the overall e-commerce experience. The combination of fast processing speeds, with the use of high-speed servers and advanced AI models makes it a promising solution for the future of online fashion retail.
Keywords:
Generative Artificial Intelligence, Large Language Models, Virtual Try-On, Computer Vision,, Sustainable Technology, Artificial Intelligence, E-commerce Application.
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Copyright (c) 2025 International Journal on Emerging Research Areas
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