Fleetmanagementsoftwaredevelopment,builtforvehiclesinthethousands.
GPS tracking, route optimization, a driver app that survives a full shift, dispatch operations, fleet analytics, ELD compliance. The telemetry pipelines behind this work have tracked 30,000+ vehicles in production, and the ping still lands on the map in under a second.
Vehicles tracked in production
Telemetry ingestion latency
GPS pings processed per minute
Fleet delivery footprint
Fleet management software, across six builds we know cold.
GPS tracking platforms
Live vehicle location on a map, route history you can scrub back through, geofences that fire alerts the moment a truck crosses them. The same telemetry pipeline behind our GPS tracking work has handled fleets of 30,000+ vehicles, with the ping landing on the map UI in under a second.
Route optimization
Multi-stop planning that respects vehicle constraints, delivery time windows, and live traffic. We wire in Google Maps Platform, OSRM, or a dedicated vehicle-routing solver depending on the fleet, then build the dispatch flow that actually acts on what the optimizer hands back.
Driver management
A driver app built for the road, not a demo. Turn-by-turn navigation, job assignment, proof of delivery, photo capture, signature on glass. We tune it hard for all-day battery and the reality that connectivity drops out somewhere on every route.
Dispatch operations
The control room. Live fleet view, a dispatch queue, driver assignment, exception handling when a job goes sideways, and the customer comms that keep everyone informed. We build this for ops teams running anywhere from a few hundred vehicles to a few thousand.
Fleet analytics
Driver behavior scoring, fuel efficiency, idle-time waste, route performance, the numbers that tell you where the money leaks. We split reads from writes (a CQRS pattern) so a heavy analytics query never slows the live tracking everyone else depends on.
Compliance and ELD integration
Hours-of-service logging, DVIR (driver vehicle inspection reports), and ELD compliance for US fleets. We build to the FMCSA specification directly or integrate a certified provider, so the audit trail holds up when an inspector comes asking.
Three ways to build fleet management software with us.
Architecture audit
2 weeks
We dig into an existing fleet platform: the telemetry pipeline, the data model, the dispatch system, the driver app. What you get back is a written gap analysis and a scaling roadmap, ranked by what will hurt first.
Full platform build
3 to 9 months
We take a fleet management software build from blank page to production, or stand up a major new capability on an existing one. Our team brings people who have already shipped telemetry pipelines and dispatch operations at scale, so the hard parts are not learned on your dime.
Long-term partnership
12+ months
For fleet platforms running at scale where we become a standing part of how the software gets built. Telemetry platform upkeep, integration maintenance, and the ongoing feature engineering that keeps the product ahead of the fleet's needs.
Telemetry at scale teaches you what actually holds.
Here is something most people miss. Fleet management software and EdTech share the exact same hard problem underneath: a flood of real-time data that has to stay correct while the volume keeps climbing. Our multi-tenant EdTech platform serves 250K+ daily users on the same telemetry, queue, and time-series patterns we bring to every fleet build. So when we say the fleet tracking work behind our fleet tracking case study handles 30,000+ vehicles, that number comes from the same engineering we have run hard in production elsewhere. We are not learning it on your project.
FLEET TRACKING CASE STUDYHow we built fleet tracking infrastructure that handles 30,000+ vehicles in real time.Read the case study →What fleet operators ask before they build.
How do you handle GPS data ingestion at scale in fleet management software?+
A time-series database does the heavy lifting. PostgreSQL with TimescaleDB, or InfluxDB, tuned for write-heavy loads. Devices push in over MQTT or HTTP, and we put backpressure handling and dead-letter queues in front of it so a burst never drops a ping. We have run ingestion pipelines for fleets in the tens of thousands of vehicles at sub-second telemetry. The trick is never letting the write path and the read path fight each other.
Real-time tracking or periodic reporting, what cadence is right?+
Depends entirely on the job. Long-haul logistics is fine on a 1 to 5 minute update. Last-mile delivery wants 10 to 30 seconds so the ETA stays honest. Driver behavior, the hard-braking and harsh-acceleration stuff, needs sub-second or you miss the event that mattered. Most fleets we build for run several cadences off the same device, one feed for the map, a faster one for safety events.
Route optimization in a fleet platform, buy or build?+
Buy the solver. Route optimization at scale is its own deep problem (vehicle-routing variants, traffic-aware routing, time-window constraints) and the market already has mature engines like Google Maps Platform Route Optimization, OptaPlanner, and PTV xServer. Reinventing that is months you do not get back. What we build is the layer around it: the dispatch UI, the driver app, the customer notifications, and the glue that feeds the optimizer and acts on what it returns.
What about IoT device integration beyond GPS?+
It almost always grows past plain location. Fuel-level sensors, cold-chain temperature probes, driver-facing cameras, OBD-II diagnostics, cargo-door sensors. The headache is that every device speaks its own dialect, MQTT here, CoAP there, some proprietary binary nobody documented. So we put an adapter layer in the middle. The platform sees one clean shape of data no matter how messy the hardware underneath gets.
Driver app design, what actually matters?+
Battery life and offline survival beat UI polish, every time. A driver has the app open for 8 to 12 hours straight. If background tracking dies when the OS gets aggressive, or the route vanishes the second they hit a dead zone, the whole platform is useless to the person who depends on it most. So we solve the durability first: aggressive battery tuning, tracking that survives OS restrictions, offline route caching. The pretty screens come after that, not before.
How do you handle compliance, DOT, ELD, and hours-of-service?+
For US fleets the ELD (Electronic Logging Device) rule means hours-of-service has to be logged a specific way. We either build straight to the FMCSA ELD specification or integrate a FMCSA-certified provider, whichever fits the fleet better. Outside the US it changes shape. The UK, EU, and Australia each have their own driver-hours rules, and we have built against several of them, so we tend to know where the edge cases hide before they bite.
Get a fixed-scope estimate for your fleet build.
Tell us what your fleet management software needs to do, how many vehicles it has to track, and where it hurts today. On a 30-minute scoping call we will map the telemetry, the cadence, the integrations, and give you a real shape for cost and timeline. No filler, no spec lobbed over a wall. We have shipped 50+ products, we are rated 4.9 stars across 24+ client projects, and the fleet pipelines we run have tracked 30,000+ vehicles in production. So you are talking to people who have already built the hard parts.
Book a free fleet scoping call↗