Analytics in supply chain is the use of data analysis techniques to gain insights, optimize operations and improve the performance of supply chain networks. By using analytics, businesses are better equipped to anticipate demand, maximize efficiency, reduce risk, and deliver results that exceed customer expectations. The application of analytics in a supply chain context has become increasingly important as companies strive to remain agile, competitive and profitable in an ever-changing landscape. By utilizing predictive models and advanced analytics, businesses can gain powerful insights into their supply chain networks, understanding what works and what doesn’t in order to make the best decisions possible. With the right data and analytics, businesses can unlock hidden potential within their supply chains and create a more efficient and productive system that drives value for their customers.