Utilizing Machine Learning for Predictive Analysis and Optimization in Restaurant Operations

Gala, Nishika (2024) Utilizing Machine Learning for Predictive Analysis and Optimization in Restaurant Operations. Masters thesis, Dublin, National College of Ireland.

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Abstract

This work aims at reviewing and analysing how machine learning models can be used to improve various aspects of operation in business. This involves scheduling of personnel, demand forecasting, menu mix, and supply chain management. The Logistic Regression technique is used for forecasting the demand for products with greater accuracy, better inventory controls and resource allocation through effective demand forecasting. Gradient Boosting Regression is used in menu optimizations, designed to achieve maximum profit by responding to operations and consumers’ preferences. Random Forest Regressor helps in case of staff scheduling issues, making workforce planning and utilization more effective by using algorithms. This project also taps on the use of new technologies for supply chain management with aims at enhancing purchasing strategies for supply and inventory management for increased efficiency. By means of these applications, it shows how state-of-the-art machine learning models can make difference in the efficiency of operations in a business, as well as in the strategic support of a variety of business activities.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Jameel Syed, Muslim UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Hospitality Industry > Food service H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Hospitality Industry Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	18 Aug 2025 13:24
Last Modified:	18 Aug 2025 13:24
URI:	https://norma.ncirl.ie/id/eprint/8562

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