Global supply chain disruption is now into its third year. Building in resiliency, while also meeting customer expectations and service-level agreement (SLA) commitments for time-definite delivery, has highlighted a need for better visibility. That requires a predictive supply chain, driven by better data.
Confirming completion of the last move in the order cycle is no longer enough. Customers want access to ongoing information about shipment status in transit and changes in ETA. To adjust downstream operations, supply chain partners need early warning of exceptions and potential delays, to take corrective action by redirecting capacity and inventory.
Enterprise-grade ETAs require more context than just shipment status at the vehicle and SKU level. Weather, traffic, terrain, infrastructure, vehicle performance and other data must be layered over real-time location to construct accurate, dynamic ETAs for a given route. Customers may additionally need to verify the condition of freight with special handling requirements or confirm chain of custody for ESG purposes.
Beyond real-time monitoring and notifications, predictive visibility can apply artificial intelligence and analytics to current and historical shipment data to gain important insights for resource, scenario and route planning. As supply chains become more complex and as processes and workflows are automated, visibility will become all the more essential in orchestrating people, processes, systems and devices to ensure SLA fulfillment and customer satisfaction.
Shipment visibility begins with satellite location plus sensor and tracker data. Learn how HERE Technologies, a leading global location, navigation and mapping solutions platform, is leveraging its automotive heritage and big data partnerships to extend predictive visibility to the supply chain.
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