Data Science, Predictive Analytics, And Big Data: A Revolution Transforming Supply Chain Design and Management
DOI:
https://doi.org/10.47392/IRJAEM.2025.0393Keywords:
Data Science, Predictive Analytics, Big Data, Supply Chain Management, Forecasting, Machine LearningAbstract
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.
Downloads
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Research Journal on Advanced Engineering and Management (IRJAEM)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.