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Research Paper | Computer Science and Engineering | Volume 15 Issue 4, April 2026 | Pages: 856 - 860 | India
Enhancing Learner Growth: Smart E-Commerce Web Application
Abstract: In recent years, online shopping has grown rapidly due to digital transformation and increased internet accessibility. However, traditional e-commerce platforms often face challenges such as lack of personalization, inefficient product discovery, limited real-time inventory management, and weak recommendation systems. To address these issues, the proposed Smart E-Commerce Web Application integrates modern web technologies with intelligent features to enhance user experience and operational efficiency. The platform provides a secure and scalable online marketplace where users can browse products, apply advanced filters, manage carts, complete secure transactions, and track orders in real time. The system is developed using modern technologies such as React.js for the frontend, Node.js and Express.js for backend services, and MongoDB for database management. Additionally, the application incorporates an AI-based recommendation engine that analyzes user behavior, preferences, and purchase history to suggest personalized products. The platform also includes role-based access control for administrators and customers, real-time inventory updates, secure authentication, order management, and analytics dashboards. The system architecture, design methodology, implementation strategy, testing results, and future enhancements are discussed in this report. The implementation demonstrates improved user engagement, enhanced personalization, better product visibility, and secure transaction handling, making it a scalable and intelligent solution for modern online retail businesses.
Keywords: E-Commerce, Online Shopping Platform, AI Recommendation System, MERN Stack, React.js, Node.js, Express.js, MongoDB, Web Application, Role-Based Access Control, Secure Payment Integration, Real- Time Inventory Management, Personalized Shopping Experience
How to Cite?: Kamal Jain, "Enhancing Learner Growth: Smart E-Commerce Web Application", Volume 15 Issue 4, April 2026, International Journal of Science and Research (IJSR), Pages: 856-860, https://www.ijsr.net/getabstract.php?paperid=MR26323113005, DOI: https://dx.dx.doi.org/10.21275/MR26323113005