Design and Development of an Online Pizza Delivery System
Keywords:
Java spring boot, JSP, MVC, MySQL, Online pizza ordering, Payment gateway, Real-time trackingAbstract
This paper presents the design and implementation of a web-based online pizza delivery application using Java Spring Boot, JSP, and MySQL. The platform enhances the pizza ordering process by integrating real-time order tracking, user authentication, a dynamic menu system, secure online payment processing, and an administrative control panel. With a focus on scalability and maintainability, the system adopts the Model–View–Controller (MVC) architecture, ensuring smooth interaction between the front end and back end. Experimental results show a high success rate for user registrations and order placements, validating the system’s effectiveness. This application is particularly beneficial for small-scale pizza outlets looking to digitize their operations without relying on third-party platforms.
References
M. F. Shorbaji, A. A. Alalwan, and R. Algharabat, “AI-enabled mobile food-ordering apps and customer experience: A systematic review and future research agenda,” Journal of Theoretical and Applied Electronic Commerce Research, vol. 20, no. 3, p. 156, 2025, doi: https://doi.org/10.3390/jtaer20030156
Y. Rane, S. Patil, S. Salunkhe, and S. P. Kakade, “Online food ordering system,” International Journal for Research in Applied Science and Engineering Technology, vol. 10, no. 7, pp. 832–836, Jul. 2022, doi: https://doi.org/10.22214/ijraset.2022.45331
S. K. Egereonu, “Optimized web-based online food ordering system: Design and implementation,” International Journal of Computer Science Languages, vol. 2, no. 2, pp. 1–25, 2024, Available: https://journals.stmjournals.com/ijcsl/article=2024/view=177655/
A. C. Dewi, E. I. H. Ujianto, and R. Rianto, “Electronic payment threats and security: A systematic literature review,” National Journal of Informatics Engineering Education, vol. 13, no. 2, pp. 301–315, 2024, doi: https://doi.org/10.23887/janapati.v13i2.76635
V. Sarode, B. Joshi, T. Savakare, and H. Warule, “A real time chatbot using python,” International Journal for Research in Applied Science and Engineering Technology, vol. 11, no. 5, pp. 7385–7389, May 2023, doi: https://doi.org/10.22214/ijraset.2023.53453
O. López-Gorozabel, E. Cedeño-Palma, J. Pinargote-Ortega, W. Zambrano-Romero, and M. Pazmiño-Campuzano, “Bootstrap as a tool for web development and graphic optimization on mobile devices,” in Artificial Intelligence, Computer and Software Engineering Advances, Cham, Switzerland: Springer Nature, 2021, pp. 290–302. doi: https://doi.org/10.1007/978-3-030-68080-0_22
M. A. Hassan, Z. Shukur, and M. K. Hasan, “An efficient secure electronic payment system for e-commerce,” Computers, vol. 9, no. 3, pp. 1–13, Sep. 2020, doi: https://doi.org/10.3390/computers9030066
A. K. Gautam, A. Bansal, “A review on cyberstalking detection using machine learning techniques: Current trends and future direction,” International Journal of Engineering Trends and Technology, vol. 70, no. 3, pp. 95–107, Mar 2022, doi: https://doi.org/10.14445/22315381/IJETT-V70I3P211
A. N. Patil, A. S. Raut, and A. A. Sayyed, “Next generation system assistant,” International Research Journal of Engineering and Technology, vol. 6, no. 6, pp. 351–356, June 2019. Available: https://www.irjet.net/archives/V6/i6/IRJET-V6I671.pdf
J. Kang, “Mobile payment in fintech environment: Trends, security challenges, and services,” Human-centric Computing and Information Sciences, vol. 8, 2018, doi: https://doi.org/10.1186/s13673-018-0155-4
R. Karthik, T. S. Sridhar, and R. Sriram, “Digital food ordering system based on spring framework,” International Journal of Recent Technology and Engineering (IJRTE), vol. 8, no. 6, pp. 4795–4798, Mar. 2020, doi: http://www.doi.org/10.35940/ijrte.F9049.038620
F. Ahnve, K. Fantenberg, G. Svensson and D. Hardt, “Predicting stock price movements with text data using labeling based on financial theory,” 2020 IEEE International Conference on Big Data (Big Data), Atlanta, GA, USA, 2020, pp. 4365–4372, doi: https://doi.org/10.1109/BigData50022.2020.9378054.
B. A. Ahamad, Solanke Vikas S., and G. M. Ramdas, “AI based smart robot (chatbot) using python,” International Journal of Innovative Science and Research Technology, vol. 9, no. 3, pp. 569–572, Mar. 2024, doi: https://doi.org/10.38124/ijisrt/IJISRT24MAR521
V. VardanReddy, M. Maila, S. Sri Raghava, Y. Avvaru, and S. V. Koteswarao, “A survey on analysis of twitter opinion mining using sentiment analysis,” International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 5, no. 2, pp. 537–542, Mar. 2019, doi: https://doi.org/10.32628/cseit1952126
A. Shankar, C. Jebarajakirthy, P. Nayal, H. I. Maseeh, A. Kumar, and A. Sivapalan, “Online food delivery: A systematic synthesis of literature and a framework development,” International Journal of Hospitality Management, vol. 104, p. 103240, Jul. 2022, doi: https://doi.org/10.1016/j.ijhm.2022.103240
S. Surabani, “Enhancing online food delivery systems through comprehensive text analytics and strategic data integration,” International Journal of Information Technology and Computer Science Applications, vol. 2, no. 1, pp. 48–54, 2024, doi: https://doi.org/10.58776/ijitcsa.v2i1.121
M. Alzeyadi and H. Rabeea, “Microsatellite instability detectable for lung cancer prognosis,” Journal of Physics: Conference Series, vol. 1234, p. 012079, 2019, doi: https://doi.org/10.1088/1742-6596/1234/1/012079.
M. A. Hassan, Z. Shukur, and M. K. Hasan, “An efficient secure electronic payment system for e-commerce,” Computers, vol. 9, no. 3, pp. 1–13, 2020, doi: https://doi.org/10.3390/computers9030066
K. AL-Qawasmi, M. AL-Mousa, and M. Yousef, “Proposed e-payment process model to enhance quality of service through maintaining the trust of availability,” International Journal of Emerging Trends in Engineering Research, vol. 8, no. 6, pp. 2296–2300, Jun. 2020, doi: https://doi.org/10.30534/ijeter/2020/16862020
M. L. Meuter, A. L. Ostrom, R. I. Roundtree, and M. J. Bitner, “Self-service technologies: Understanding customer satisfaction with technology-based service encounters,” Journal of Marketing, vol. 64, no. 3, pp. 50–64, Jul. 2000, doi: https://doi.org/10.1509/jmkg.64.3.50.18024
