Rick Trinidad

·      Data from supply chains should inform key decision-makers and provide a view of aggregate demand for materials. Better forecast ongoing, aggregate supply needs, and scale supply chains and logistics capabilities

·      Autonomous demand forecasting, provisioning and distribution of logistics resources from the tactical edge back to military, organic, and commercial sources of supply and manufacturing through “what-if” scenarios

·      Deep understanding the network and dependencies, integrating disparate data sources and systems to provide a digital twin of the enterprise in real-time or near real time