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.
What it is and who needs it
A fleet and dispatch system assigns jobs to drivers or vehicles, tracks them live, and gives a dispatcher the visibility to intervene when something goes wrong, a delay, a breakdown, a job at risk of missing its window. The part that actually separates a good system from a frustrating one is the assignment logic: proximity, availability and skill match done correctly, instead of a simple queue that hands the next job to whoever happens to be free regardless of distance. This is for a delivery, field-service or transport operation outsourcing its dispatch to spreadsheets, a generic SaaS that does not fit its workflow, or nothing formal at all.
What is inside
Assignment logic that weighs proximity, current availability and, where relevant, skill or equipment match, so a job goes to the driver who can actually do it fastest, not just the one who happened to finish their last job first. Live GPS tracking with a dispatcher map view showing real vehicle position, not a stale last-known location that is minutes or hours old. Route optimization for jobs with multiple stops, reducing drive time and fuel cost across a full day’s schedule rather than optimizing one job at a time in isolation. A driver mobile app for accepting jobs, updating status and navigating, built simple enough that a driver can use it one-handed between stops. A dispatcher dashboard with exception and SLA alerts, flagging a job at real risk of missing its delivery or service window before it actually misses it, giving a dispatcher time to reassign or communicate proactively. Historical reporting on utilization and on-time performance, the data that actually tells an operations manager 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, because a generic nearest-driver algorithm misses constraints like skill requirements, vehicle type, or existing route commitments that matter in practice. Live GPS tracking is built on a reliable location-update cadence tuned to your operation’s needs, frequent enough to be useful, not so frequent it drains driver phone batteries or overloads the backend. Route optimization is tested against your real job density and geography, since 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 of which 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, since an assignment rule that performs well with twenty drivers can behave very differently at two hundred, and we would rather discover that 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, since 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, agency keeps running it with you |
| Full control (handover-ready) | from $17,000 | Same scope, built and documented for your own team to run with zero dependency on us |
Timeline: 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, 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 $17,000.
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, and WebSocket for 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, and 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.