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An Efficient E-Commerce Web Platform Based on Deep Integration of MEAN Stack Technologies

Author

Listed:
  • Hussnain Sarwar

    (Department of Computer Science, Faculty of Computer Science, Superior University Lahore, Pakistan)

  • Hamayun Khan

    (Department of Computer Science, Faculty of Computer Science, Superior University Lahore, Pakistan)

  • Irfan Uddin

    (Department of Computer Science, Faculty of Computer Science, Superior University Lahore, Pakistan)

  • Rana Waleed

    (Department of Computer Science, Faculty of Computer Science, Superior University Lahore, Pakistan)

  • Samra Tariq

    (Department of Computer Science, Faculty of Computer Science, Superior University Lahore, Pakistan)

Abstract

In the dynamic landscape of modern business, staying attuned to customer demands is imperative for success. The ability to seamlessly bring buying and selling activities online empowers customers to access a diverse range of products effortlessly, influencing their daily lives and fostering a thriving online marketplace. E-commerce has become an integral part of the lifestyle, particularly for the younger generation. This project focuses on the development of an e-commerce platform that not only showcases an array of products but also enables registered users to swiftly purchase desired items through various payment options. The project's goal is to provide a user-friendly interface for buyers and sellers while offering efficient order management tools for business owners. To achieve this, an in-depth exploration of technologies has been undertaken. The selected technology stack comprises Angular.js for the frontend, MongoDB for the database, Node.js for server-side scripting, and Express.js for building the application's backend. This paper discusses the essential aspects of each technology incorporated in creating and implementing the e-commerce platform.

Suggested Citation

  • Hussnain Sarwar & Hamayun Khan & Irfan Uddin & Rana Waleed & Samra Tariq, 2023. "An Efficient E-Commerce Web Platform Based on Deep Integration of MEAN Stack Technologies," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 12(4), pages 447-453.
    • Handle: RePEc:rfh:bbejor:v:12:y:2023:i:4:p:447-453
    DOI: https://doi.org/10.61506/01.00147
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