Gen AI based Catering Management System

The catering industry continues to face inefficiencies due to outdated manual processes and fragmented management systems.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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-12
DOI
https://doi.org/10.5281/zenodo.14414343
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Gen AI based Catering Management System

Zenodo (CERN European Organization for Nuclear Research)
Internet of Things and AI
article

Gen AI based Catering Management System

article en

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The catering industry continues to face inefficiencies due to outdated manual processes and fragmented management systems.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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 35%
Internet of Things and AI
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