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

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.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-16
DOI
https://doi.org/10.5281/zenodo.15231303
Primary Topic
Generative Adversarial Networks and Image Synthesis
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Generative Adversarial Networks and Image Synthesis
article

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

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Amal Jyothi College of Engineering
Openalex Percentile: Top 53%
Generative Adversarial Networks and Image Synthesis
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