Real-time GPS telematics, predictive maintenance alerts, and route optimization across 12,000 commercial freight vehicles.
The Challenge
LogisticsPulse operated 12,000 cargo transport vehicles across North America with fragmented dispatch systems, high fuel waste, and frequent unexpected engine failures causing supply chain delays.
Our Engineered Solution
Built a real-time IoT ingestion pipeline consuming 300,000 telemetry pings per minute, pairing timeseries telemetry with AI route optimization and predictive maintenance models.
Architectural & Sprint Approach
Engineered high-throughput MQTT broker layers, integrated TimescaleDB time-series storage, constructed reactive dispatch dashboards with live Mapbox mapping, and built mobile driver companion apps.
“The real-time visibility and predictive alerts engineered by WebVishno have transformed our entire logistics network.”
David Thorne — COO, LogisticsPulse, LogisticsPulse Enterprise
Measured Results & Impact
Fuel expenditure decreased by 24%, over 830 catastrophic breakdown events were preempted by AI, and operational dispatcher productivity doubled.
