Data Science in Supply Chain Management
Supply chain management (SCM) is a crucial part of businesses, encompassing the movement and storage of raw materials, inventory management, and the delivery of finished products to consumers. In an increasingly interconnected world, companies are under pressure to streamline these processes, minimize costs, and enhance customer satisfaction. This is where data science plays a pivotal role, offering transformative solutions to optimize supply chain operations. By leveraging advanced analytics, predictive modeling, and machine learning, data science can unlock new levels of efficiency and competitiveness in supply chain management. The Role of Data Science in Supply Chain Management Supply chains are complex systems involving multiple stages, from procurement to production, distribution, and customer delivery. With the rise of digital technology, companies generate massive amounts of data at each of these stages. However, merely collecting data is not enough. It is crucial to analyze an