OPPORTUNITY ENABLING SUPPLY CHAIN TRANSFORMATION WITH INTELLIGENT TECHNOLOGIES By putting data at the core of their operating model, supply chain organizations can develop powerful new capabilities, processes, and metrics. Leaders who make the transformation increase their forecasting accuracy, identify and resolve issues in real time, and create new segmentations that enable them to deliver on consumer requirements with speed, specificity, and scale. THIS TRANSFORMATION IS ENABLED IN THE FOLLOWING WAYS: Establishing end-to-end Intelligent technologies make it possible to manage visibility and supply chain complexity. They capture, process, and centralizing control utilize vast sets of structured and unstructured data to provide real-time visibility. Supply chain organizations will leverage this power by creating “control towers” to centralize data and decision-making. New network- based planners will drive internal, vendor, and customer collaboration to align expectations, develop plans, and manage exceptions. Creating new AI and machine learning enable powerful resolution performance engines engines. These are based on real-time, root-cause analyses, to automate the execution of supply chain functions, as well as optimize transactions to meet strategic objectives. AI can process data in enormous quantities to perform real-time, what-if analyses and supply chain management (SCM) modeling to optimize the supply chain along more variables than ever before. When a significant change occurs, the engine will determine the impact on key performance indicators (KPIs) and make immediate supply chain decisions that help achieve business outcomes and optimize financial results. INTELLIGENT SUPPLY CHAIN REINVENTING THE SUPPLY CHAIN WITH AI 7