E-Commerce Product Management And Shopping Portal

Authors: D. Sowjan, Ch. Keerthi Sri, B. V V S S Lakshmi Prasanna, M. V Vara Prasad, Mrs. Ch. Vijaya Lakshmi

Abstract: In this paper, we designed and developed an e-commerce system a future-friendly E-Commerce Product Management and Shopping Portal utilizing the latest technologies, including the MERN stack (MongoDB, Express, React, and Node.js), Vision AI, and Blockchain to make the system work more efficiently work and user experience are presented. The suggested system will receive a dual-interface construction that will serve both administrators and end users with specific features. In our case, the admin portal was developed to efficiently manage product management operations. It is possible to easily add new items, modify products and organize them in one place. Moreover, Vision AI was applied to automate the process of analyzing photos in order to extract information regarding the properties of products including color, type, and category. At the same time, inventory management is implemented, which allows for real-time updates on the stock of products and alerts concerning the shortage of items. Apart from that, admins have an opportunity to control customers' orders, change the status of these orders and analyze sales reports to make decisions based on them. As for the end-users of the website, they can easily browse products, look for them, put them into the cart and buy goods using the provided checkout page. To increase trust, Blockchain was applied for the purposes of ensuring users about the security of transactions. Specifically, once users complete their orders, their data will be securely stored and not be available for any further modifications by other users. The described technologies help create an efficient and convenient system.