Artificial Intelligence-Driven Enhancements in Order Management Systems: Analyzing the Impact of AI on Supply Chain Operations and Autonomous Vehicle Coordination

Artificial Intelligence-Driven Enhancements in Order Management Systems: Analyzing the Impact of AI on Supply Chain Operations and Autonomous Vehicle Coordination

Authors

  • Lim Wei Xiang Department of Engineering, Universiti Tenaga Nasional, Putrajaya Campus, Putrajaya, Malaysia

Abstract

Artificial Intelligence (AI) is revolutionizing order management systems by enhancing supply chain operations and enabling seamless coordination with autonomous vehicle (AV) fleets. This paper explores the transformative impact of AI on these systems, focusing on how AI-driven technologies improve efficiency, decision-making, and responsiveness within supply chains. AI’s ability to process vast amounts of data in real-time, predict demand patterns, optimize routing, and automate decision-making is crucial for modern supply chains, especially as they integrate autonomous vehicles. By examining AI's role in streamlining order processing, optimizing inventory management, and improving the coordination of AVs, this paper provides a comprehensive analysis of how AI is reshaping supply chain dynamics. The discussion includes the benefits, challenges, and future potential of AI in this domain, offering insights into how organizations can leverage AI to enhance their operations and maintain a competitive edge in an increasingly automated logistics landscape.

Author Biography

Lim Wei Xiang, Department of Engineering, Universiti Tenaga Nasional, Putrajaya Campus, Putrajaya, Malaysia

Lim Wei Xiang

Department of Engineering, Universiti Tenaga Nasional, Putrajaya Campus, Putrajaya, Malaysia

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Published

2023-12-01

How to Cite

Xiang, L. W. (2023). Artificial Intelligence-Driven Enhancements in Order Management Systems: Analyzing the Impact of AI on Supply Chain Operations and Autonomous Vehicle Coordination. Eigenpub Review of Science and Technology, 7(1), 350–360. Retrieved from https://studies.eigenpub.com/index.php/erst/article/view/72

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