Fleet & Logistics Platform
A real-time fleet management system with GPS tracking, route optimization, and delivery analytics.
The Challenge
Manual dispatch and no live visibility were causing late deliveries and high fuel costs.
Our Solution
We built a platform with live GPS tracking, automated route optimization, driver apps, and an analytics dashboard for operations.
How we approach this kind of build
Location data arrives constantly and is mostly uninteresting, so the ingestion path is built to absorb high write volume cheaply while the query path serves current positions from a fast store rather than scanning history. Historical traces are downsampled for storage — a vehicle parked overnight does not need a position recorded every few seconds.
Route optimisation is a constrained problem, not just shortest-path: vehicle capacity, delivery time windows, driver shift limits, and traffic all bound the solution. We solve it to a good-enough answer within a time budget rather than chasing optimality, because dispatch needs a plan in seconds and a 3% better route computed ten minutes later is worthless.
The driver app is built for intermittent connectivity. Manifests, proof of delivery, signatures, and photos are captured offline and synced when a signal returns, with conflict handling for jobs reassigned while the driver was out of range. Operations get exception-based alerting rather than a wall of green — the useful signal is which deliveries are at risk right now.
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