Autonomous Real-Time Fleet Tracking & AI Route Optimizer
Centralizing 12,000+ freight vehicles into a geospatial dispatch engine saving 1.2M gallons of fuel.

Key Business & Engineering Outcomes
Yearly reduction in fuel consumption across all routes
Live location updates streamed to customer tracking portals
Improved delivery accuracy from previous baseline of 84%
Operations team can manage triple the fleet size with same headcount
The Business & Technical Challenge
Legacy GPS tracking suffered 4-minute telemetry lags, leading to blind spots, excessive driver idle times, and dispatch inefficiencies costing millions annually.
The Entecra Architectural Solution
We engineered an edge-to-cloud IoT ingestion gateway using MQTT brokers, ClickHouse spatial time-series databases, and custom AI genetic algorithms for real-time dispatching.
Architecture Blueprint & Implementation Phases
High-Throughput IoT Ingestion
Engineered an MQTT ingestion pipeline handling 85,000 telemetry pings per second with sub-second stream persistence.
Geospatial Time-Series Storage
Deployed ClickHouse cluster for ultra-fast spatial queries and 100x data compression over historical GPS trails.
Predictive Dispatch Neural Network
Trained route optimization models dynamically adjusting stops based on real-time traffic and port unloading queues.
“Our dispatchers have total visibility into our global fleet. Entecra transformed our operations from reactive firefighting to predictive mastery.”
Architecture & Tech Stack
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