Automotive Manufacturing Firms and Their Usage of Machine Learning to Drive Efficiency in Asia
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...
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| Format: | Article |
| Language: | English |
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Czech Technical University in Prague
2023-12-01
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| Series: | Business & IT |
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| Online Access: | http://bit.fsv.cvut.cz/issues/02-23/full_02-23_07.pdf |
| Summary: | 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. |
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| ISSN: | 1805-3777 2570-7434 |