Fleet Management

Driving higher system performance

A connection map in white, blue, and purple, overlaid with an aerial photo of cargo trucks parked at a row of loading docks

Optimizing fleet management performance

The pressure on asset performance has never been greater, from growing customer expectations on transparency to addressing ever more urgent disruptions. Location intelligence software coupled with emerging technologies, such as internet of things (IoT), artificial intelligence (AI), and machine learning (ML), allow fleet managers to monitor the network in real-time and improve efficiency. They can navigate from hyperlocal issues up to global threats while capturing streams of operations data for deeper analytics. This process leads to continual network optimization and business innovation while improving customer service.

End-to-end fleet planning and optimization

Fleet and network planning and optimization

Digitize all assets within the network to model demand and capacities for optimizing multimodal operations, fixed and moving assets, and routes (land, sea, and air) to improve efficiencies and service levels. Digitally enabled iterative fleet planning uses emerging conditions to fine-tune the network and select the best transportation lanes.

A graphic of a computer monitor displaying a connection map of North America in gray, green, and yellow

Live operations monitoring and visualization

Visualize a digital network in real time, monitor live tracking of fleet assets, and understand relationships between planned operations and actual outcomes. Integrate Esri's location technology with fleet management systems to improve scheduling, dispatch and navigation, and viewing of real-time operations dashboards within the organization.

A graphic of a computer monitor displaying road routes in gray, red, and green

Fleet and network asset management

Better plan, adjust, and optimize fleet assets by understanding where and how assets are utilized and how assets are over- and underperforming. Location technology can help operations managers make data-driven decisions to improve asset investments, fuel management, driver safety, and warranty management.

A graphic of a computer monitor displaying a road route map in gray and yellow, a line chart, a bar graph, and a pie chart

Inspections and maintenance

Mobile workers can share inspection data, and connected assets can signal systems issues for real-time insights across the fleet. Flag recurring failure patterns and route drivers to the nearest maintenance facilities. Optimize service schedules to keep fleets running on schedule and reduce emergency repair costs and asset downtime.

A graphic of a computer monitor displaying a vehicle inspection checklist in white and orange

Advanced analytics for fleet optimization

Spatially enable big data to digitally re-create fleet operations and extract new derivative datasets. Perform geospatial analysis—comparing data across space and time to expose unseen patterns, threats, and opportunities—to prescribe future plans. Assess metrics and workflows, planned versus actual, for continual process improvement at scale.

A graphic of a computer monitor displaying a route analytics dashboard with a route map, a legend, and route statistics


Moving logistics beyond route optimization

Logistics and transportation companies use GIS software to balance the demands of customers, net-zero goals, and their bottom lines.

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