A fleet and dispatch system,
that assigns the right driver, not just the next one
A dispatch system fails quietly when it assigns jobs by whoever is next in a queue instead of who is actually closest and available. We build real assignment logic, live GPS tracking and a dashboard a dispatcher can actually work from under real load.
The job that separates a good dispatch system from a frustrating one
A fleet and dispatch system assigns jobs to drivers or vehicles and tracks them live. It gives a dispatcher the visibility to step in when something goes wrong: a delay, a breakdown, a job at risk of missing its window. The part that actually matters is the assignment logic. Proximity, availability and skill match, done correctly, beat a simple queue that hands the next job to whoever happens to be free no matter the distance. This is for a delivery, field-service or transport operation. Maybe it runs dispatch on spreadsheets today, or a generic SaaS that does not fit the workflow, or nothing formal at all.
What’s in the build
Assignment logic weighs proximity, current availability and, where relevant, skill or equipment match. A job goes to the driver who can actually do it fastest, not just whoever happened to finish their last job first. Live GPS tracking gives the dispatcher a map view showing real vehicle position, not a stale last-known location that is minutes or hours old. Route optimization handles jobs with multiple stops. It cuts drive time and fuel cost across a full day’s schedule, instead of optimizing one job at a time in isolation.
A driver mobile app covers accepting jobs, updating status and navigating, built simple enough to use one-handed between stops. A dispatcher dashboard carries exception and SLA alerts. It flags a job at real risk of missing its delivery or service window before it actually misses it. A dispatcher gets time to reassign or communicate proactively. Historical reporting on utilization and on-time performance gives an operations manager the data that actually shows where the fleet’s real bottlenecks are.
How we build it
We start with your actual assignment rules: what makes one driver a better fit for a job than another in your specific operation. A generic nearest-driver algorithm misses constraints like skill requirements, vehicle type, or existing route commitments that matter in practice. Live GPS tracking runs on a location-update cadence tuned to your operation, frequent enough to be useful without draining driver phone batteries or overloading the backend.
Route optimization gets tested against your real job density and geography. An algorithm that works well for dense urban delivery behaves very differently across sparse rural service areas. We bring direct experience rebuilding a factory’s operational system after a lost cloud account, and building geospatial products that stay fast and accurate at real scale. Both are the core technical challenges inside a dispatch system.
We load-test the assignment algorithm against your actual fleet size and job density, not a generic simulated scenario. An assignment rule that performs well with twenty drivers can behave very differently at two hundred. We would rather find that out during testing than during a dispatcher’s first real busy day. Weekly builds let your dispatchers try the live assignment view throughout development. We also test the driver app’s behavior on a spotty mobile connection specifically. A driver losing GPS signal mid-route is a routine event the system needs to handle smoothly, not an edge case it can afford to ignore.
Timeline and price
| Tier | Price | What it covers |
|---|---|---|
| MVP | from $4,500 | Core flow, one platform or chain, ready to test with real users |
| Production | from $10,000 | Full feature set, handover docs, we keep running it with you |
| Full control (handover-ready) | from $11,000 | Same scope, built and documented for your own team to run with zero dependency on us |
Timeline runs 5 to 10 weeks for an MVP. Production builds typically run longer, depending on integrations.
What you own at the end
The dispatch system’s source code, the driver mobile app, and all job, driver and tracking data sit in your own database and infrastructure. There is no per-seat licensing or vendor lock-in. You own the system the way you would own any other piece of operational infrastructure.
Related
Part of our custom development work. See related builds: logistics tracking platform, smart home iot dashboard, property management platform. On the technical side: websocket real time features, message queue background jobs. Related case study. Ready to scope yours? Get in touch and we will send back a written plan with a fixed price.
FAQ
How much does a fleet and dispatch system cost?
Driver assignment logic, live GPS tracking and a basic dispatcher dashboard start at $4,500. A fuller system with route optimization, a driver mobile app and SLA alerting runs $10,000 to $11,000.
How long does it take?
5 to 6 weeks for core assignment and tracking. 8 to 10 weeks when route optimization and a full driver app are included.
What is the stack?
FastAPI or Node backend, PostgreSQL and Redis for live state, a mapping and routing library for optimization, React Native for the driver app. WebSocket handles live GPS updates to the dispatcher dashboard.
Who owns the dispatch system and its data?
You. Driver, vehicle and job data all live in your own database. The system runs on infrastructure in your name, not a per-seat SaaS license you would be stuck renewing.
What support is included after launch?
30 days of fixes as real dispatch volume surfaces assignment or routing edge cases, plus a handover document on the assignment and routing logic. Ongoing tuning as fleet size changes is available as monthly work.