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

Hussnain Sarwar, Hamayun Khan, Irfan Uddin, Rana Waleed and Samra Tariq
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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

Bulletin of Business and Economics (BBE), 2023, vol. 12, issue 4, 447-453

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.

Keywords: AngularJS; NodeJS; MongoDB; ExpressJS; Optimization using MEAN Stack (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:rfh:bbejor:v:12:y:2023:i:4:p:447-453

DOI: 10.61506/01.00147

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