Optimize dispatch and routing with location intelligence
Reduce delivery costs, improve fleet efficiency, and scale logistics operations with AI-powered geospatial route optimization. Turn location data into smarter dispatch decisions that drive measurable savings across every mile.
Dispatch and routing capabilities
Leverage geospatial intelligence to optimize every stage of your delivery and logistics workflow, from route planning to last-mile execution.
Route Optimization
Calculate the most efficient delivery routes using real-time geospatial data, traffic patterns, and vehicle constraints to minimize fuel costs and maximize on-time performance.
Fleet Tracking Intelligence
Monitor fleet positions in real time and leverage location intelligence to dynamically reassign drivers, reroute vehicles, and respond to delays before they impact delivery windows.
Delivery Zone Planning
Define and optimize delivery zones based on population density, demand patterns, and geographic constraints to balance driver workloads and reduce operational overhead.
Traffic Pattern Analysis
Analyze historical and real-time traffic data to predict congestion, identify optimal departure times, and build routes that account for recurring bottlenecks and seasonal variation.
Warehouse Placement
Identify optimal warehouse and distribution center locations using spatial demand analysis, transportation network coverage, and proximity-to-customer modeling to reduce last-mile costs.
Last-Mile Analytics
Gain granular visibility into last-mile delivery performance with geospatial analytics that surface inefficiencies, optimize stop sequences, and improve customer satisfaction scores.
How dispatch optimization works
Go from raw location data to optimized fleet operations in four steps. Our AI-driven platform automates route planning and dispatch intelligence at scale.
Define Service Areas
Upload your delivery addresses, warehouse locations, and fleet details to establish service area boundaries and operational parameters.
Analyze Routes
Our AI engine processes road networks, traffic patterns, delivery windows, and vehicle capacities to generate optimal routing scenarios.
Optimize Fleet
Receive dispatch recommendations that balance workloads, minimize deadhead miles, and ensure each vehicle is assigned the most efficient route sequence.
Track & Improve
Monitor fleet performance in real time, measure route adherence, and continuously refine dispatch logic with data-driven feedback loops.
Dispatch and routing use cases
See how logistics teams, delivery operations, and field service organizations use Unearth AI to transform their dispatch and routing workflows.
Last-Mile Delivery Optimization
Reduce failed deliveries and fuel spend by generating optimized stop sequences that account for time windows, package size, and real-time road conditions across dense urban areas.
Field Service Dispatch
Assign technicians to jobs based on proximity, skill match, and estimated travel time to increase daily job completion rates and reduce windshield time between service calls.
Warehouse & Distribution Center Planning
Evaluate candidate locations for new warehouses by modeling delivery coverage, transportation costs, and customer proximity to find the placement that minimizes total logistics spend.
Multi-Stop Route Planning
Plan complex multi-stop routes for fleets serving hundreds of daily destinations, factoring in driver hours, vehicle capacity, delivery priority, and customer availability windows.
Industries we serve
Dispatch and route optimization intelligence for teams across logistics, delivery, and field operations.
Frequently asked questions
Common questions about dispatch optimization, route planning, and fleet logistics intelligence.
How does AI-powered route optimization reduce delivery costs?
Our route optimization engine analyzes road networks, historical traffic data, delivery time windows, and vehicle constraints to generate the shortest and most fuel-efficient routes. By minimizing total travel distance and idle time across your fleet, most organizations see a 15-30% reduction in fuel and operational costs within the first quarter of deployment.
Can Unearth AI integrate with existing fleet management and TMS systems?
Yes. Unearth AI connects to leading fleet management platforms, transportation management systems, and telematics providers through REST APIs and pre-built integrations. Your existing dispatch data, GPS feeds, and order management workflows can be connected in days, not months, so you can layer geospatial intelligence on top of your current technology stack.
What types of delivery operations benefit most from dispatch optimization?
Any operation with recurring multi-stop routes, time-sensitive deliveries, or distributed field teams benefits significantly. This includes last-mile parcel delivery, food and grocery fulfillment, field service dispatch, medical supply logistics, and construction material distribution. The more stops and constraints involved, the greater the optimization potential.
How quickly can we deploy route optimization across our fleet?
Most organizations are operational within one to two weeks. The onboarding process includes importing your delivery addresses and fleet profiles, configuring routing constraints and delivery windows, and validating optimized routes against your historical performance data. Our team provides hands-on support throughout deployment to ensure rapid time-to-value.
Ready to optimize your dispatch operations?
See how Unearth AI helps logistics teams reduce costs, improve delivery performance, and scale fleet operations with geospatial route intelligence.