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Logistics / Live Operations
NovaFreight
NovaFreight proof file

Real-Time IoT Fleet Tracking & Dispatch Automation

Replaced a manual dispatching system with an automated, IoT-driven React dashboard handling thousands of real-time truck coordinate updates per second.

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Live Operations 4 validated outcomes
Delivery Signal
Architecture, product UX, and engineering velocity aligned around one outcome narrative.
Execution Mode
NovaFreight
The Cost of Blind Spots in Logistics
Handling Massive Telemetry Data
7,000/sec
Ping Processing
-40 hrs/wk
Dispatch Time
<0.1%
Error Rate
React WebGL/Mapbox Node.js AWS IoT Core DynamoDB
The Challenge

The Cost of Blind Spots in Logistics

NovaFreight was operating a fleet of 500+ trucks using whiteboards, phone calls, and an aging Windows desktop application that crashed under the load of real-time GPS pings.

Dispatchers lacked visibility into driver route deviations, load availability, and vehicle maintenance status. This resulted in delayed deliveries, wasted fuel, and frustrated clients who couldn't get accurate tracking ETAs.

They needed a complete digital transformation: a cloud-native command center capable of ingesting massive amounts of IoT telemetry data and making it actionable in real-time.

Architecture & Solution

Handling Massive Telemetry Data

We built a highly concurrent data ingestion pipeline using AWS IoT Core and DynamoDB, capable of handling sub-second pings from thousands of trucks without bottlenecking.

We developed an intelligent rules engine that automatically flagged dispatchers if a truck deviated from its geofenced route or if IoT sensors detected refrigeration anomalies in transit.

For the UI, we engineered a high-performance React application utilizing WebGL-accelerated mapping libraries. This allowed dispatchers to smoothly render and interact with hundreds of live truck nodes on a single screen without browser lag.

Technical Core Stack
React WebGL/Mapbox Node.js AWS IoT Core DynamoDB
The Results

Command and Control Restored

Successfully processed 7,000+ IoT telemetry pings per second without degradation.
Saved an estimated 40+ hours per week of manual dispatching coordination.
Implemented predictive maintenance alerts, saving $2M+ in potential fleet breakdowns.
Provided their B2B clients with live tracking portals, drastically improving satisfaction.
Client Perspective

"Moving from our legacy system to the platform SovrinLabs built felt like stepping from the 1990s into the future. Total operational clarity."

Robert Davies
VP of Logistics
Proof Highlights
•Successfully processed 7,000+ IoT telemetry pings per second without degradation.
•Saved an estimated 40+ hours per week of manual dispatching coordination.
•Implemented predictive maintenance alerts, saving $2M+ in potential fleet breakdowns.
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Discuss Your Engineering Challenge

Speak directly with our senior technical architects. Share what you are trying to build or scale, and we will map the next technical move.

Discuss Your Engineering Challenge

Speak directly with our senior technical architects. Share what you are trying to build or scale, and we will map the next technical move.