logo

Custom Cart – Virtual try-on in e-commerce platforms using generative AI

Authors

  • Jesvin Jelson

    Amal Jyothi College Of Engineering
    Author
  • Kesiya Rachel Johns

    Amal Jyothi College of Engineering
    Author
  • Mehak

    Amal Jyothi College Of Engineering
    Author
  • Ken Jacob Zachariah

    Amal Jyothi College Of Engineering
    Author
  • Neenu R

    Amal Jyothi College Of Engineering
    Author

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.
Views 0
Downloads 0

Published

20-06-2025

Issue

Section

Articles

How to Cite

[1]
J. J. T. Thachil, K. R. Johns, M. R. Riyas, K. J. Zachariah, and Neenu R, “Custom Cart – Virtual try-on in e-commerce platforms using generative AI”, IJERA, vol. 5, no. 1, Jun. 2025, Accessed: Apr. 22, 2026. [Online]. Available: https://ijera.in/index.php/IJERA/article/view/293

Similar Articles

61-70 of 180

You may also start an advanced similarity search for this article.