BIG DATA AND SUPPLY CHAIN OPTIMIZATION: INTEGRATING LOGISTICS WITH PREDICTIVE ANALYTICS

Authors

  • Dr. Asad Zafar Department of Industrial Engineering, University of Engineering & Technology, Lahore, Pakistan. Author

Keywords:

Supply Chain Optimization, Predictive Analytics, Big Data Integration, Logistics Efficiency

Abstract

The integration of big data analytics into supply chain management (SCM) is revolutionizing logistics by enabling predictive, data-driven decision-making. This study explores how the convergence of big data and predictive analytics optimizes supply chain performance by reducing costs, increasing transparency, and enhancing forecasting accuracy. Using real-world industry applications and comparative analysis, the article highlights key trends, technologies, and frameworks that drive this transformation. The results suggest that organizations leveraging big data see significant improvements in delivery times, inventory control, and overall supply chain resilience.

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Published

2025-01-04

Issue

Vol. 5 No. 1 (2025): Multidisciplinary Research in Computing Information Systems

Section

Articles

License

Creative Commons License

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