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