Territories and delivery zones grew organically and no longer match demand.
GIS for Logistics & Route Optimization
Logistics GIS, Route Optimization & Location Intelligence
Geospatial logistics solutions and location intelligence. We optimize delivery territories, multi-stop routing, fleet telematics, facility catchment areas, and supply chain visibility.
// The buying trigger
You probably need this when…
Route plans ignore real service time, access constraints, failed deliveries, or geographic imbalance.
Operations dashboards show late orders but not the spatial pattern causing them.
A new hub or dark store decision is based on averages instead of network-aware scenarios.
// Concrete scope
What the engagement delivers
Every item is tied to an acceptance owner and evidence. Final scope is confirmed after data, security, and integration review.
Demand, stop, route, address, and network data audit
Geocoding quality, service-area, and territory baseline
Routing, clustering, territory, ETA, or facility-location model
Dispatcher map, spatial BI dashboard, optimization API, or planning tool
Scenario comparison, pilot protocol, monitoring, and operating guide
// Delivery process
From evidence to operational handover
- 01
Define the constraint
Choose the cost, service, capacity, or coverage decision and its non-negotiable rules.
- 02
Reconstruct operations
Align stops, travel, service time, facilities, fleet, failures, and geography.
- 03
Model scenarios
Compare current operations with realistic routing, territory, or site alternatives.
- 04
Pilot and measure
Test on representative days or regions before operational rollout.
// Proof before promises
How value is verified
No vanity accuracy number. Evidence is chosen around the operational decision and agreed before delivery starts.
- ✓Distance, drive time, stops per route, utilization, on-time rate, and cost per delivery
- ✓Geocoding confidence and unserviceable-address exception rate
- ✓Scenario results compared with the actual operating baseline under the same constraints
// Buyer questions
Frequently asked questions
Do you replace our route-management system?+
Usually not. We can improve data, models, APIs, and analytical workflows around the system already used by dispatch and drivers.
Can you account for local road and address conditions?+
Yes. The model can incorporate vehicle restrictions, access windows, service times, road classes, custom zones, and known address-quality limitations.
Can this support depot or warehouse location?+
Yes. Network-aware site scenarios can compare demand coverage, travel time, capacity, resilience, and operating cost.
Can your routing engines account for customized vehicle constraints and bridge heights?+
Yes. We deploy custom pgRouting, OSRM, and Valhalla instances customized with truck weight, axle counts, hazardous material restrictions, turn restrictions, and real-time road closures.
How do you optimize last-mile delivery territory design?+
We use genetic algorithms, k-means clustering with network distances, and dynamic H3 hexagons to balance delivery workloads, minimize stem time, and adapt territories to recurring seasonal demand shifts.
Can you calculate accurate historical drive-time isochrones?+
Yes. We generate time-of-day and day-of-week traffic-adjusted isochrones to evaluate facility coverage, customer service delivery windows, and logistics expansion candidates.
// Related expertise
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Bring us the problem, not a perfect brief.
Three fields start the conversation. An engineer will help determine fit, data readiness, and the smallest useful next step.
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