Authors :
D. Nirmala; Dhanush Kumar B; Pradeep S; Buvanesh Kumar S; Sridhar R
Volume/Issue :
Volume 9 - 2024, Issue 12 - December
Google Scholar :
https://tinyurl.com/4twrkczf
Scribd :
https://tinyurl.com/44em7rsk
DOI :
https://doi.org/10.5281/zenodo.14414343
Abstract :
The catering industry continues to face
inefficiencies due to outdated manual processes and
fragmented management systems. Traditional methods,
such as using printed brochures for product selection,
often result in poor consumer experiences, limited
information, and increased operational costs. To address
these issues, this study proposes an advanced online
catering management system leveraging generative AI
technology. The platform offers users access to detailed
product information, dynamic menu customization, and
seamless order processing. Developed using PHP,
CodeIgniter, and MySQL, and validated with Black Box
Testing, the system also incorporates predictive analytics
for inventory optimization. By minimizing waste and
enhancing customer satisfaction, the proposed platform
transforms catering operations into a cost-effective,
scalable, and user-centric model.
Keywords :
Catering Management, AI-Driven Optimization, Inventory Forecasting, Online Ordering Systems.
References :
- B. D. H. a. V. R. M. N. Anugrah, "SISTEM INFORMASI PEMESANAN CATERING PADA," Jurnal Riset dan , vol. 3, 2022.
- Khairunnisa and F. Damayanti, "Jurnal Pengolahan Bisnis," Jurnal Sistem , vol. 2, p. 63–71, 2018.
- M. Syani and N. Werstantia, "PERANCANGAN APLIKASI PEMESANAN CATERING BERBASIS MOBILE ANDROID," Jurnal Ilmiah Ilmu dan Teknologi Rekayasa, vol. 1, p. 2, 2018.
- Z. a. G. N. Siregar, "Sistem Informasi Catering di Ratu Catering Berbasis Web," Jurnal Sistem Informasi, vol. 1, p. 104–114, 2019.
- M. M. &. C. Y. S. Aung, "Traceability in a food supply chain: Safety and quality perspectives," Food Control, vol. 39, pp. 172-184, 2014.
- A. &. R. A. A. A. Rahdari, "Designing a general set of sustainability criteria for small and medium-sized enterprises.," Journal of Cleaner Production, pp. 10451056., 2015.
- M. S. P. B. N. M. P. &. H. E. J. Geissdoerfer, "The Circular Economy – A new sustainability paradigm?," Journal of Cleaner Production, pp. 757-768., 2017.
- H. H. L. T. J. &. S. C. Han, "Application of the Theory of Planned Behavior to green hotel choice: Testing the effect of environmental friendly activities," Tourism Management, pp. 325-334, 2010.
- E. L. R. S. J. K. W. N. &. U. Z. Papargyropoulou, "The food waste hierarchy as a framework for the management of food surplus and food waste," Journal of Cleaner Production, pp. 106-115, 2014.
- T. S. D. I. N. S. R. T. Kirti Bhandge, "A Proposed System forTouchpad Based Food Ordering System Using Android Application," International Journal of Advanced Research in Computer Science Technology , 2015.
- P. J. K. T. Varsha Chavan, "Implementing Customizable Online Food Ordering System Using Web Based Application," International Journal of Innovative Science,Engineering Technology(IJISET) , 2015.
- P. T. N. D. S. S. Resham Shinde, "Design and Implementation of Digital dining in Restaurants using Android," International Journal of Advance Research in Computer Science and Management Studies , pp. 192253, 2014.
- N. J. A. J. P. O. S. R. L. Ashutosh Bhargave, "Digital Ordering System for Restaurant Using Android," International Journal of Scientific and Research Publications, 2013.
- A. J. M. H. A. W. M. E. A. M. I. A. M. A. A. Khairunnisa K., "The Application of Wireless Food Ordering System”," MASAUM Journal of Computing, 2009.
- S. K. A. K. M. F. A. M. K. Z. S. Noor Azah Samsudin, " A customizable wireless food ordering system with real time customer feedback," IEEE Symposium on Wireless Technology and Applications(ISWTA), 2011.
- H. H. Serhat Murat Alagoza, " A study on tam: analysis of customer attitudes in online food ordering system," Elsevier Ltd, 2012.
- P. P. R. N. P. L. Patel Krishna, "Automated Food Ordering System," International Journal of Engineering Research and Development (IJERD), 2015.
- P. C. M. Mayur D. Jakhete, " Implementation of Smart Restaurant with e-menu Card," International Journal of Computer Applications, 2015.
The catering industry continues to face
inefficiencies due to outdated manual processes and
fragmented management systems. Traditional methods,
such as using printed brochures for product selection,
often result in poor consumer experiences, limited
information, and increased operational costs. To address
these issues, this study proposes an advanced online
catering management system leveraging generative AI
technology. The platform offers users access to detailed
product information, dynamic menu customization, and
seamless order processing. Developed using PHP,
CodeIgniter, and MySQL, and validated with Black Box
Testing, the system also incorporates predictive analytics
for inventory optimization. By minimizing waste and
enhancing customer satisfaction, the proposed platform
transforms catering operations into a cost-effective,
scalable, and user-centric model.
Keywords :
Catering Management, AI-Driven Optimization, Inventory Forecasting, Online Ordering Systems.