The Role of Artificial Intelligence in Supply Chain Optimization

Authors

  • Muhammad Zain Department of Industrial Engineering, University of Lahore, Pakistan
  • Ayesha Karim Department of Computer Science, National University of Sciences and Technology (NUST), Islamabad, Pakistan
  • Waqas Ahmed Department of Management Sciences, COMSATS University Islamabad, Pakistan

Keywords:

Artificial Intelligence, Supply Chain Optimization, Predictive Analytics, Machine Learning, IoT Integration, Demand Forecasting, Logistics Management, Automation

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in modern supply chain management (SCM), enabling organizations to improve efficiency, accuracy, and responsiveness. AI-driven tools such as predictive analytics, machine learning, and autonomous systems optimize processes like demand forecasting, inventory control, and logistics routing. By integrating real-time data from sensors, IoT devices, and ERP systems, AI enhances visibility and decision-making throughout the supply chain network. This article examines the role of AI in supply chain optimization, exploring its applications, frameworks, and future potential. The findings highlight that organizations leveraging AI technologies experience cost reduction, improved sustainability, and resilience against disruptions. However, the successful adoption of AI requires data governance, workforce readiness, and ethical considerations to ensure responsible and efficient supply chain transformation.

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Published

2024-06-30