Facilitating artificial intelligence supply chain analytics through finance management during the pandemic crises

供应链 供应链管理 业务 商业智能 分析 服务管理 财务管理 过程(计算) 知识管理 过程管理 财务 营销 计算机科学 操作系统 数据科学
作者
M. Sangeetha,Arbër Hoti,Rashmi Bansal,Mohammed Faez Hasan,Kiran Gajjar,Kingshuk Srivastava
出处
期刊:Materials Today: Proceedings [Elsevier]
卷期号:56: 2092-2095 被引量:1
标识
DOI:10.1016/j.matpr.2021.11.418
摘要

The particular study is based on the concept of financial management and artificial intelligence supply chain. As all the companies and business organizations are closed for a certain time, therefore, the companies are facing financial issues. Therefore, the international business companies are facing the worst time because all the transport systems are closed and the transport system is an essential part of the international companies. In this situation, the companies have to adopt some efficient and effective strategies for the development of the financial condition of the companies. Thereafter, supply chain management is an important aspect of international companies because the companies provide their services and products to their international customers by using supply chain management. As the transports are closed the companies can use the artificial intelligence supply chain management. The usage of artificial intelligence is increasing day by day in several companies. On the other hand, the usage of artificial intelligence in supply chain management can improve the process of supply of products. Thus, the purpose of this particular research article is to analyze the importance of artificial intelligence in supply chain management during the pandemic situation. Apart from that, analyzing the analytics of artificial intelligence supply chain management through the financial management of the companies is another purpose of this particular research study. Hence, the researcher has adopted proper methods and techniques for collecting some proper and accurate data about the research topic. Therefore, the researcher has used secondary methods for collecting more knowledge and data about supply chain management and finance management. Apart from that, the researcher has used qualitative methods for analyzing all the collected data in this research study in a proper way. Therefore, all the data that are collected by using the sources of secondary methods are analyzed in this particular research study significantly.
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