E ISSN: 2583-049X
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International Journal of Advanced Multidisciplinary Research and Studies

Volume 5, Issue 1, 2025

SCM Meets Big Data: Transforming Supply Chain Management



Author(s): Bui Trong Hieu, Bui Thi Kim Uyen

DOI: https://doi.org/10.62225/2583049X.2025.5.1.3647

Abstract:

This paper examines the transformative impact of integrating Big Data technologies into Supply Chain Management (SCM). It highlights how advanced analytics, machine learning, and cloud computing are reshaping traditional supply chain processes by enabling real-time insights, predictive capabilities, and enhanced decision-making. The study focuses on three critical areas: Demand forecasting, inventory optimization, and logistics planning. In demand forecasting, Big Data leverages historical and real-time data to improve accuracy, helping organizations better align supply and demand. Inventory optimization benefits from predictive analytics that reduce overstocking and understocking risks, ensuring cost efficiency and improved service levels. Logistics planning is enhanced through real-time data processing, enabling dynamic route optimization and reduced delivery times. The paper includes detailed case studies from various industries to demonstrate how Big Data has driven measurable improvements in supply chain performance, including reduced costs, increased agility, and enhanced customer satisfaction. Challenges in implementing Big Data solutions, such as data integration and security concerns, are also discussed, along with strategies to overcome them. This research underscores the pivotal role of Big Data in modernizing SCM and creating a competitive edge for businesses.


Keywords: Advanced Analytics, Big Data, Real-Time Data Processing, Supply Chain Management

Pages: 249-253

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