Chapter 8: Integrating Machine Learning Algorithms and Business Intelligence: Enhancing Decision-making in Food and Beverage Manufacturing Sector

This research aims to explore the impacts of machine learning algorithms and business intelligence (BI) on decision-making in the food and beverage manufacturing industry, particularly the synergy established between the two components. This research used positivist, deductive, and quantitative approaches to gather data from operations managers from 50 companies within the industry. Semi-structured questionnaires are used on the 50 participants in order to capture aspects such as predictive accuracy, data integration, and real-time analysis. The data collection was done through electronic means; thus, high response rates were obtained for the research. Data are analysed through the use of descriptive statistics analysis and regression analysis to determine the relations and mediating impacts. The results show that machine learning algorithms contribute substantially to BI and the enhancement of strategies, operations, and risk management decisions. Future research can expand these findings to other industries and other variables of interest for managers and companies.