Data Science, Predictive Analytics, And Big Data: A Revolution Transforming Supply Chain Design and Management

Authors

  • Dr. V. Jayakumar Associate Professor, Ayya Nadar Janaki Ammal College, Sivakasi, Tamil Nadu, India. Author
  • Mrs. R. Ananthavalli Associate Professor, Ayya Nadar Janaki Ammal College, Sivakasi, Tamil Nadu, India. Author
  • Mrs. K. Gayathri Associate Professor, Ayya Nadar Janaki Ammal College, Sivakasi, Tamil Nadu, India. Author
  • Ms. S. Harini Student, Ayya Nadar Janaki Ammal College, Sivakasi, Tamil Nadu, India. Author

DOI:

https://doi.org/10.47392/IRJAEM.2025.0393

Keywords:

Data Science, Predictive Analytics, Big Data, Supply Chain Management, Forecasting, Machine Learning

Abstract

In the era of digital transformation, supply chain management (SCM) is undergoing a profound shift driven by data science, predictive analytics, and big data. These technologies are not only enhancing operational efficiency but also redefining the strategic design and real-time control of complex supply networks. This paper explores their integration, applications, benefits, and future trends in supply chain management, emphasizing the transition from reactive to intelligent systems. As organizations strive for agility and resilience, data-driven insights enable faster decision-making, forecasting, optimization and proactive risk mitigation. The convergence of IoT, AI, and cloud computing further amplifies the potential for creating highly responsive and adaptive supply chains.

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Published

2025-07-25