THE ROLE OF ARTIFICIAL INTELLIGENCE IN REVOLUTIONIZING SUPPLY CHAIN LOGISTICS
DOI:
https://doi.org/10.63300/Keywords:
Predictive, Forecasting, AI, Decision-makingAbstract
AI is rapidly revolutionizing supply chain logistics, allowing for predictive analytics, autonomous decision-making, and enhanced operational efficiency. This study investigates the application of AI to several important logistical areas, such as risk management, warehouse automation, demand forecasting, and route optimization. This paper illustrates the possibilities and difficulties of artificial intelligence (AI) in contemporary supply chains using real-world examples and industrial practices. Strategic suggestions for the effective integration of AI in logistics operations are included in the paper's conclusion.
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References
Ivanov, D., & Dolgui, A. (2020). Viability of intertwined supply networks: Extending the supply chain resilience angles towards survivability. International Journal of Production Research, 58(10), 2904-2915.
McKinsey & Company. (2022). The Future of AI in Supply Chains.
World Economic Forum. (2021). The AI-enabled Supply Chain: Mapping the Adoption Landscape.
UPS. (2023). How ORION Improves Route Efficiency. [Corporate Report]
Resilinc. (2023). AI-Driven Supply Chain Risk Management. [White Paper]
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Copyright (c) 2025 Dr.Queen Shanthana Mary X (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
Article published in Academic Research Journal of Science and Technology (ARJST) is an open access under the Creative Commons Attribution 4.0 International License -BY, (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.