A Smart Management System for Optimizing Campus Canteen Operations

Authors

  • Aryan Shivatare
  • Sravan Shinde
  • Tushar Kumar Singh
  • Soham Kanathia
  • Disha Wankhede

Abstract

Traditional campus food services encounter high levels of inefficiency due to lengthy wait times, human error in order taking, and a lack of access to important business data in real-time. This paper introduces a holistic smart food service management system that will offer a complete digital solution to these problems. This web-based system will provide users with the ability to reserve seats electronically, view menus online, order their meals online, manage complaints, and monitor all activities within the dining facility. The solution is designed using MERN (MongoDB, Express.js, React, Node.js) as the underlying technology stack. The system has been built with a focus on developing a secure and scalable website based on a solid database schema and effective user access controls to provide organisations with real-time reporting on business operations. Analysis has shown that the system has decreased service time by 67% while increasing the accuracy of orders by 95%, thereby improving operational transparency and efficiency. This system represents a possible approach to modernising the food service operations at higher education institutions and providing actionable business intelligence to assist administrators in their decision-making regarding their respective businesses.

References

X. Ma, A. Beeker, M. McCloskey, D. Moldawer, and E. Williams, “Increasing efficiency of large university dining hall usage,” Proceedings of the International Workshop on Applied Modeling and Simulation, Rome, Italy, Sep. 2012.

T. Khan and D. Yunus, “Cloud based canteen management system,” International Journal for Research in Engineering Application & Management (IJREAM), vol. 2, no. 8, pp. 18–22, 2016.

K. Lokeshnath, P. S. Yasaswini, M. Nandhini, A. Sujith, B. S. Manikanta, and M. Narendra, “QR code-based smart food ordering and payment system,” Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies, vol. 2, pp. 169–179, 2025.

S. K. Prajapathi and N. Pandey, “Design and implementation of a web-based canteen management system using PHP and MySQL,” International Journal of Research Publication and Reviews, vol. 4, no. 3, pp. 1140–1144, Mar. 2023.

D. S. Jaybhay, N. K., A. R., T. T., and N. S., “Digital queue management and guest handling system in restaurant,” IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 14, no. 11, pp. 261–267, Nov. 2025.

B. Peng, V. K. Omachonu, and Murat Erkoc, “Online food ordering and delivery: A study on the use of customer service data and quality function deployment,” Journal of Food Distribution Research, vol. 55, no. 2, pp. 65–95, Jul. 2024.

D. H. Maister, “The psychology of waiting lines,” Columbia University, 2005.

B. Barua and M. S. Kaiser, “Real‐time performance optimization of travel reservation systems using AI and microservices,” The Journal of Engineering, vol. 2025, no. 1, Oct. 2025.

R. Elmasri and S. Navathe, Fundamentals of database systems, 7th ed. Pearson, 2016.

Y. Li and S. Manoharan, “A performance comparison of SQL and NoSQL databases,” 2013 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM), Victoria, BC, Canada, 2013, pp. 15–19.

M. Fowler, Patterns of enterprise application architecture. Addison-Wesley, 2002.

Roger West, “User experience (UX) design: The key to customer satisfaction,” ROGER WEST, Aug. 2024.

Martin J. Fowler, and Pramodkumar J. Sadalage, NoSQL Distilled: A brief guide to the emerging world of polyglot persistence. Addison-Wesley, 2012.

S. Newman, Building microservices. O'Reilly Media, 2021.

Published

2026-04-02

How to Cite

Shivatare, A., Shinde, S., Kumar Singh, T., Kanathia, S., & Wankhede, D. (2026). A Smart Management System for Optimizing Campus Canteen Operations. Journal of Big Data Technology and Business Analytics, 5(1), 62–72. Retrieved from https://matjournals.net/engineering/index.php/JBDTBA/article/view/3354