Business & IT · Vol. XIII(2) · 2023
Automotive Manufacturing Firms and Their Usage of Machine Learning to Drive Efficiency in Asia
Abstract
Objective - Rapid innovation and globalization have generated large opportunities, and also choices in the marketplace for firms and customers. Naturally, competitive pressures have led to production and internationalization, leading to a significant increase in products. The post tries to identify the need for legitimate time business intelligence that contained supply chain analytics. Design/methodology/approach - The paper offers argument and analysis of the advantages, and also hurdles in BI. Outcomes - The newspaper concentrates on the importance of revisiting the conventional BI concept, which fuses and consolidates information of a business, to assist service oriented businesses and also search for retention and customer loyalty. Enhancing effectiveness and productivity of supply chain analytics dealing with a BI tactic is essential to a company's opportunity to reach the competitive advantage. Originality/value - This newspaper furthers understanding of the issues that involve the use of BI products in supply chains.
Keywords
Manufacturing, Automotive Industry, Profitability, Efficiency
Full text
How to cite (APA)
Zikri Mohhamad Kuraishi (2023). Automotive Manufacturing Firms and Their Usage of Machine Learning to Drive Efficiency in Asia. Business & IT, Vol. XIII(2), pp. 65–73. https://doi.org/10.14311/bit.2023.02.07