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— Logistics

Real-time systems that never miss a package.

From a 24,000-vehicle fleet platform to on-demand delivery apps tracking millions of events per minute — logistics software has zero tolerance for downtime. We architect for sub-second event latency, multi-region redundancy, and route optimisation that measurably cuts fuel spend.

Fixed-price buildsfrom $7,500 for a mobile app · from $15,000 for a custom AI agent
24,000+Vehicles tracked live
<800msEvent latency
-18%Fuel savings vs baseline
2.4M+Events processed per second
— What we build

Five things logistics teams ask us for

Event-stream architecture and geospatial indexing are designed for your actual vehicle count and event volume — not a demo-scale prototype that falls over at production load.

— 01

Fleet management & real-time tracking

GPS telemetry ingestion at sub-second latency, geospatial caching, and dashboards dispatchers actually use under pressure.

  • Sub-800ms event latency, proven at 24K vehicles
  • Kafka event streaming
  • Redis geospatial cache
— 02

On-demand delivery & last-mile optimisation

Route planning and dispatch automation that cuts fuel spend and missed-window deliveries at the same time.

  • Dynamic route optimisation
  • Real-time ETA recalculation
  • Driver & customer apps
— 03

Ride-hailing & shared mobility platforms

Matching, pricing and live tracking built for the concurrency spikes that come with peak-hour demand.

  • Real-time driver matching
  • Surge-aware pricing logic
  • Live trip tracking
— 04

IoT sensor data pipelines & event processing

Ingesting millions of sensor events per second without dropping the ones that actually matter for safety or compliance.

  • Kafka / MQTT ingestion
  • Auto-scaling on Kubernetes
  • Sub-second alerting
— 05

Route planning & dispatch automation

Optimisation algorithms tuned against your actual fuel-cost and time-window constraints, not a generic TSP solver.

  • Constraint-aware routing
  • Fuel-cost optimisation
  • Dispatcher override controls
— Proof, not adjectives

24,000 vehicles, 2.4M events a second, sub-800ms latency.

A UK fleet operator managing 24,000 vehicles needed sub-second GPS telemetry processing at a scale their existing platform couldn't hold.

— Case study

Real-time fleet operations platform, 24,000 vehicles

Rebuilt the platform's event pipeline on Kafka with a Redis geospatial cache and Kubernetes auto-scaling, cutting event latency under 800ms while processing 2.4M+ events per second — and cutting fleet fuel spend 18% through the route optimisation layer.

  • 24,000+ vehicles tracked live
  • Sub-800ms event latency
  • 2.4M+ events processed per second
  • 18% fuel savings through route optimisation
Read the full fleet-operations case study
— Compliance

Architected for uptime, not just compliance.

Logistics compliance is less about a named framework and more about proving the system doesn't fall over — multi-region redundancy, audit logging, and documented incident handling.

GDPR / UK GDPRDriver & customer data handling
Multi-region redundancyNo single point of failure
Audit loggingEvery dispatch & route decision
SOC 2-aligned controlsSee /compliance for detail
Read our full compliance & security posture
— Frequently asked

Logistics questions, answered.

Pulled from real client security reviews and discovery calls.

What scale of fleet can your platform actually handle?
Our largest deployment tracks 24,000+ vehicles in real time, processing 2.4M+ events per second at sub-800ms latency. We'll size the architecture to your actual fleet, not a generic template.
Can you integrate with our existing telematics hardware?
In most cases, yes — we ingest GPS and sensor data over standard protocols (MQTT, Kafka-compatible streams) and can build adapters for less common hardware on request.
How much fuel savings is realistic from route optimisation?
Our fleet-operations client saw an 18% reduction against their baseline. Actual savings depend on your current routing maturity — we'll give an honest estimate after seeing your data.
Do you build the dispatcher-facing dashboard too?
Yes — dispatcher tooling is usually part of the same engagement as the tracking backend, since the two need to be designed together to actually get used under pressure.
What happens if an event pipeline component fails in production?
We architect for multi-region redundancy and no single point of failure, with documented incident-response timelines agreed in the contract for engagements where that matters.
— Let's talk Logistics

Tell us what you're building in logistics.

Bring your fleet size and event volume to a 60-minute call — you'll leave with an honest read on scope, timeline and price.

Book a 60-min discovery call
— Founder will reply personally Prakash Singh · Matrytech