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Stream/Area:
-
Subject:
-
Paper ID:
IJSREMWP0658
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The rapid digitalization of the retail sector has significantly transformed traditional supermarket operations, necessitating the adoption of advanced and efficient management systems. This paper presents the development and implementation of a cloud-based Supermarket Management Software (SMS) designed to optimize various retail processes. The proposed system leverages modern web technologies, particularly React.js for the frontend and Firebase for backend services, to create a seamless and scalable solution. The core functionalities of the system include automated inventory tracking, employee management, and order processing, which collectively enhance operational efficiency and streamline workflow management. The inventory management module ensures real-time monitoring of stock levels and alerts managers when restocking is required. The employee management module facilitates role-based access control, attendance tracking, and performance evaluation. The order processing module automates checkout and payment handling, ensuring a smooth shopping experience for customers. This paper explores the system architecture, methodologies, and technologies employed in detail. A comprehensive performance evaluation is conducted to assess system scalability, response time, and user experience. The study demonstrates how cloud integration, real-time database updates, and an interactive, user-friendly interface significantly improve supermarket management. By reducing manual errors, enhancing data accessibility, and providing instant updates, the system enables store operators to make informed decisions and maintain a high level of service efficiency. Future enhancements to the system may include AI-driven predictive analytics for demand forecasting, IoT-enabled smart inventory monitoring, and integration with third-party payment gateways for enhanced customer convenience. This research highlights the potential of cloud-based solutions in revolutionizing supermarket operations and sets the foundation for further advancements in the field of retail technology.
KEYWORDS
Publication Date
5/26/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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