Traditional supply chain processes are often slow, and data is usually batched. This introduces increased user bias and lack of optimization, as decisions are made quickly to serve the customer without the appropriate level of real-time information. Shipments are transferred and delivered suboptimally.
Goals and Objectives
Digital operations within real-time supply chains emphasize that both information aggregation and access, together with shipment execution, occur holistically and in a tight sequence of steps to process transactions in a more efficient manner.
Enterprise hardware, personal devices, cloud, big data and analytics, mobile applications, connectivity services, IoT, edge, geofencing, cognitive AI, and blockchain
Use Case Summary
Understanding supplier capacities, innovative technical capabilities, and certified processes at a deeper level, as well as continuous rebalancing of the supply of critical capabilities, modernizes and transforms supply chain logistics. Digital contract management enables automated call offs to the required supply contract obligations, ensuring that SLAs are met. Intelligent data mining processes, enabled by DL, sweep internal/external data identifying dimensions and factors enabling better market and sourcing strategic decisions, modeling of current conditions, what-if scenario planning, and forecasting.