In a transportation and logistics context, location intelligence refers to technologies that aggregate supply chain data and apply machine learning to provide insights into the whereabouts and movements of assets, products, and human resources. This intelligence is then used to optimize transport planning, inbound and outbound flows, prediction of shipment ETA and disruptions during execution, the allocation of assets and workforces and last-mile deliveries.
In the future, the enhanced visibility provided by location intelligence will contribute to the development of predictive supply chains. By incorporating real-time awareness of real-world events, predictive supply chains will enable the mitigation of risk, delays and other supply chain issues.
The same capabilities will create efficiencies by promoting truth in ETAs and optimized operations within warehouses, all of which will yield smarter supply chains, informed by enhanced visibility, real-time reactions, optimized processes and improved operational efficiencies. Location intelligence and predictive supply chains will promote supply chain operations characterized by collaboration, responsiveness, risk mitigation, agility and optimization.
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