OneCart: Design and Implementation of an AI-Enabled Smart Shopping Platform for Next-Generation E-Commerce

  • Unique Paper ID: 194286
  • PageNo: 3583-3591
  • Abstract:
  • The paper focuses on designing and developing a full-stack E-commerce web application that provides a secure, scalable, and user-friendly online shopping platform. The system enables users to browse products by category, search for items, manage carts, and make secure online transactions. An administrative module allows efficient management of products, categories, and orders. The project aims to bridge the gap between academic concepts and real-world application development by implementing industry-relevant features and technologies. The paper proposes an e-commerce web application similar to platforms such as Amazon. The main objective of the proposed work is to design and develop a fully functional online shopping system with real-world features. The key functionalities of the project include User authentication (Login/Registration), Product listing with category-wise browsing, product search, product addition, update, and removal (Admin side), Shopping cart and order management, Payment gateway integration, and a responsive, user-friendly interface.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{194286,
        author = {Dr. MK Jayanthi Kannan and Abhay Raj},
        title = {OneCart: Design and Implementation of an AI-Enabled Smart Shopping Platform for Next-Generation E-Commerce},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {3583-3591},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194286},
        abstract = {The paper focuses on designing and developing a full-stack E-commerce web application that provides a secure, scalable, and user-friendly online shopping platform. The system enables users to browse products by category, search for items, manage carts, and make secure online transactions. An administrative module allows efficient management of products, categories, and orders. The project aims to bridge the gap between academic concepts and real-world application development by implementing industry-relevant features and technologies. The paper proposes an e-commerce web application similar to platforms such as Amazon. The main objective of the proposed work is to design and develop a fully functional online shopping system with real-world features. The key functionalities of the project include User authentication (Login/Registration), Product listing with category-wise browsing, product search, product addition, update, and removal (Admin side), Shopping cart and order management, Payment gateway integration, and a responsive, user-friendly interface.},
        keywords = {},
        month = {March},
        }

Cite This Article

Kannan, D. M. J., & Raj, A. (2026). OneCart: Design and Implementation of an AI-Enabled Smart Shopping Platform for Next-Generation E-Commerce. International Journal of Innovative Research in Technology (IJIRT), 12(10), 3583–3591.

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