Title: Artificial intelligence in supply chain management: bibliometric analysis and futuristic research directions

Authors: C. Shivathmica; R. Anushree; Aswathy Sreenivasan; M. Suresh

Addresses: Amrita School of Business, Amrita Vishwa Vidyapeetham, Coimbatore – 641112, India ' Amrita School of Business, Amrita Vishwa Vidyapeetham, Coimbatore – 641112, India ' Amrita School of Business, Amrita Vishwa Vidyapeetham, Coimbatore – 641112, India ' Amrita School of Business, Amrita Vishwa Vidyapeetham, Coimbatore – 641112, India

Abstract: Supply chain is the most important key factor in determining the business success and also in determining how well the business is functioning. To enhance the efficiency in supply chain AI has been implemented by many companies. Using AI they can accurately predict the inventories, precise location can be tracked for shipping products and it is reduces warehouse and manufacturing costs by accurately predicting the manufacturing of products based on the demands. Many researches have been done on how AI will transform the efficiency of supply chain. This paper provides systematic review of how AI is implemented in SCM. Biblioshiny is used for analysis and Scopus is used for getting the data. The findings of the study show that how companies and managers should make use of technological advancements to enhance their business in the fast-growing world.

Keywords: artificial intelligence; machine learning; supply chain management; SCM; internet of things; Biblioshiny.

DOI: 10.1504/IJMCP.2024.142318

International Journal of Management Concepts and Philosophy, 2024 Vol.17 No.4, pp.416 - 426

Received: 04 Jul 2023
Accepted: 12 Jul 2023
Published online: 21 Oct 2024 *

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