Abstract: A system and method are disclosed including a digital hub and a cloud database. The digital hub encodes, as a virtual supply chain network, the structure, one or more objectives, and one or more states of a supply chain network and contextualizes data received from one or more supply chain entities and one or more external data sources with the virtual supply chain network. The digital hub further employs machine learning to extract insights from the contextualized data and monitors external data sources for an event that may impact the one or more objectives of the supply chain network. Responsive to identifying an event that may impact the one or more objectives, the digital hub automatically adjusts one or more of robotic warehouse systems, robotic inventory systems, automated guided vehicles, mobile racking units, automated robotic production machinery, and robotic devices.

Abstract: A system and method are disclosed including a digital hub and a cloud database. The digital hub encodes, as a virtual supply chain network, the structure, one or more objectives, and one or more states of a supply chain network and contextualizes data received from one or more supply chain entities and one or more external data sources with the virtual supply chain network. The digital hub further employs machine learning to extract insights from the contextualized data and monitors external data sources for an event that may impact the one or more objectives of the supply chain network. Responsive to identifying an event that may impact the one or more objectives, the digital hub automatically adjusts one or more of robotic warehouse systems, robotic inventory systems, automated guided vehicles, mobile racking units, automated robotic production machinery, and robotic devices.

Abstract: A system and method are disclosed including a digital hub and a cloud database. The digital hub encodes, as a virtual supply chain network, the structure, one or more objectives, and one or more states of a supply chain network and contextualizes data received from one or more supply chain entities and one or more external data sources with the virtual supply chain network. The digital hub further employs machine learning to extract insights from the contextualized data and monitors external data sources for an event that may impact the one or more objectives of the supply chain network. Responsive to identifying an event that may impact the one or more objectives, the digital hub automatically adjusts one or more of robotic warehouse systems, robotic inventory systems, automated guided vehicles, mobile racking units, automated robotic production machinery, and robotic devices.

Abstract: A system and method are disclosed including a digital hub and a cloud database. The digital hub encodes, as a virtual supply chain network, the structure, one or more objectives, and one or more states of a supply chain network and contextualizes data received from one or more supply chain entities and one or more external data sources with the virtual supply chain network. The digital hub further employs machine learning to extract insights from the contextualized data and monitors external data sources for an event that may impact the one or more objectives of the supply chain network. Responsive to identifying an event that may impact the one or more objectives, the digital hub automatically adjusts one or more of robotic warehouse systems, robotic inventory systems, automated guided vehicles, mobile racking units, automated robotic production machinery, and robotic devices.