Data Driven Supply Chain is an approach to supply chain management that uses data-driven analytics to make decisions and optimize operations. It involves the use of advanced analytics and data-driven technologies such as artificial intelligence (AI), machine learning (ML), and predictive analytics to identify and predict trends, improve efficiency, and reduce costs.

By leveraging data-driven insights, organizations can make more informed decisions about their supply chain operations, allowing them to be more agile and responsive to changing market conditions. Additionally, data-driven supply chain solutions can help organizations better manage their inventory, reduce risk, and increase customer satisfaction.

Ultimately, data-driven supply chain management can help organizations become more competitive in today’s rapidly changing business environment.