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We are witnessing the emergence of ‘location-aware enterprises,’ with real-time visibility of critical assets, inventory, personnel, facilities, and situations throughout multi-tier supply chains. Most companies are still far from achieving this ideal. This report provides insights to help organizations achieve those goals.
It looks at how geospatial intelligence generates value for supply chains; describes the characteristics of commercial-grade maps, decentralized approaches to gathering geospatial data, and what it takes to build out and maintain a live, multi-tier, global, supply chain map. It explores optimizing a distribution network with location-related data such as consumption patterns by location and drive times from DC locations. It looks at route optimization and the use of geospatial intelligence in supply chain risk management.
The report discusses tracking assets’ location and dynamic precise ETA. It covers traceability of pharmaceuticals, food, lumber, electronic parts, conflict minerals, and other commodities for goals as diverse as anti-counterfeiting, rapid response/recall, brand protection, fair trade, environmental protection, and prevention of diversion/grey market sales. It looks at the use of geospatial intelligence to detect, deter, and counteract cargo and equipment theft, fraud, kidnappings and hijackings, mishandling of products, and IP theft using tools such as asset monitoring, geofencing, supply chain monitoring, and other means.
The report also explores how geospatial intelligence can help in optimizing service networks, defining feasible SLAs, optimal positioning of service resources (inventory, equipment, technicians), and continuous optimization of service jobs. It covers the use of geospatial data and intelligence in achieving responsible supply chain stewardship, such as sustainable sourcing, fair trade, sustainable forestry, avoiding conflict minerals, and so forth. Finally, it describes the characteristics to look for when selecting a GIS platform.
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