Abstract: This paper explores the transformative role of data science in supply chain management (SCM). By leveraging advanced analytics, machine learning, and predictive modeling, companies can enhance their supply chain operations, improve decision-making, reduce costs, and increase efficiency. This study examines the key areas where data science has the most significant impact on SCM, including demand forecasting, inventory management, logistics optimization, and risk management. The findings demonstrate that integrating data science into SCM is essential for maintaining competitiveness in today's complex and dynamic business environment.

Keywords : Dynamic, Data Science, SCM, Warehousing, Shipment, Big data.