Production Deployment • Real-Time IoT Fleet
Client: Supply Chain & Commercial Fleet Logistics

OmniLogix Telemetry

Predictive fleet routing and continuous vehicle sensor streaming.

OmniLogix Telemetry was built for a national logistics carrier to monitor vehicle health, fuel efficiency, cargo temperature, and driver safety across distributed transcontinental freight lanes. The platform ingests thousands of sensor events per second and renders live geospatial assets on an interactive web canvas.

4,500+Active Connected Vehicles48 states covered
-23%Fleet Idle Fuel Cut$1.8M saved/yr
<15msSensor Ingest LatencySub-second dispatch
CategoryIoT / Real-Time Fleet Telemetry
DeploymentProduction Live
ServicesIoT Architecture • Geospatial Engineering • Real-Time Telemetry • Full-Stack Dashboard
Verified Production Architecture: Operational fleet telemetry deployment actively managing 4,500 commercial transport vehicles across 48 states with 99.99% uptime.
01 // BUSINESS CONTEXT

The Operational Background

Unplanned fleet vehicle breakdowns and inefficient route sequencing were costing the carrier over $3.2M annually in fuel waste and delayed delivery penalties. Existing GPS fleet tracking tools suffered from 5-minute update lags and failed to correlate engine diagnostics with route topology.

02 // THE CORE CHALLENGE

Friction & Technical Debt

Build a streaming telemetry pipeline that ingests, validates, and renders continuous GPS, temperature, and engine CAN bus data from 4,500 moving trucks with under 500ms end-to-end dispatch latency.

TARGET OBJECTIVES // REQUIREMENTS

Strategic Goals and Requirements.

01

Process 25,000 sensor telemetry messages per second without queue backlog.

02

Deliver instant geofence trigger notifications (<1.2s) when vehicles enter terminal boundaries.

03

Reduce fleet fuel consumption by 15% through algorithmic idle-time and route optimization.

04

Enable dispatchers to monitor the entire national fleet on a smooth 60fps vector map.

03 // THE ENGINEERING SOLUTION

Design & Architecture Strategy

We engineered a real-time event pipeline using MQTT brokers, Apache Kafka, and TimescaleDB, paired with a Next.js dispatcher console powered by Mapbox GL and Deck.gl. Automatic predictive maintenance alerts give fleet mechanics proactive warning days before engine failures occur.

High-Throughput MQTT Ingestion Gateway

Cellular IoT modems on trucks stream compressed binary telemetry packets to auto-scaling MQTT brokers with automatic connection recovery.

Geospatial In-Memory Geofence Matching

R-tree spatial indexing in Redis allows millisecond boundary intersection checks against 10,000 active delivery terminals simultaneously.

GPU-Accelerated Vector Map Rendering

Deck.gl layers offload rendering of 4,500 moving vehicle markers and historical route breadcrumbs directly to user GPU hardware.

Technologies Used

Next.jsTypeScriptGoApache KafkaMQTTTimescaleDBMapbox GLDeck.glDocker

Engineering Takeaways

High-frequency IoT requires binary packet serialization (Protobuf/MessagePack) to minimize cellular data overhead.
GPU-accelerated map layers prevent dispatcher workstations from locking up when visualizing thousands of moving vectors.
Predictive diagnostic alerts prevent costly highway breakdowns and safeguard temperature-sensitive cargo.
TAILORED ENGINEERING // LET'S TALK

Let's Build Your Solution Together.

We apply these exact engineering principles to build production software for real-world companies.