Focusing supply chain and container terminal challenges from the lens of Indian industries' perspectives with proposed data science interlinked artificial intelligence model

S. Mohanbabu and R. Vettriselvan

International Journal of Procurement Management, 2025, vol. 24, issue 1, 92-114

Abstract: In any industry, logistics and supply chain management will play a major role in defining the strategy and competitive price. This paper aims to review existing literature on supply chain challenges and artificial intelligence involvement in logistics to overcome such challenges. The current study was carried out across various regions of India. Primary data was collected from 150 respondents who are involved in supply chain and port operations. Further, this paper focuses on examining the significance and difference of opinions among industry clusters with respect to functional roles and experience levels. Findings revealed that significance exists between various types of industries, and fuel prices influence operation costs. Finally, a data science-interlinked artificial intelligence neural network model (DSIAI) was constructed to overcome supply chain challenges and concludes that container port issues and operations also affect various industries when their efficiency decreases. The developed model provides useful insights into the logistics industry.

Keywords: container management; employees; supply chain management. (search for similar items in EconPapers)
Date: 2025
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