Role of Artificial Intelligence in the Enabling Sustainable Supply Chain Management during COVID-19

Abstract

The purpose of the paper is to investigate the functions of artificial intelligence in supply chain management. In recent years, artificial intelligence framework has accomplished human-like performances in various previously considered computationally impossible tasks. Better access to large amounts of information, improved algorithms, and advanced hardware systems have led to artificial technology development. Artificial technology has supported business organisations to enhance their data collection abilities with the rapid advancement of different tools. If a product depends on supplies from multiple suppliers, disruptions can have subsequent effects. Organisations must redesign supply chains, improve flexibility, and re-evaluate the relationship with suppliers to reduce systematic risks. The methodology used in this study is a critical review of previous literature related to this topic. We searched the articles in the English language by following general research procedures. We manually searched different relevant articles from EBSCO, ProQuest, Emerald Insight, Science direct, Taylor & Francis, Wiley, JSTOR, and IEEE. The findings present the significant functions of artificial intelligence on sustainable supply chain management in the COVID-19 scenario. Future research perspective is also discussed.