How do you simplify telematics analytics, improve fleet safety, and integrate route insights into existing operations?
Our client — a leading international logistics company — needed a solution for real-time fleet monitoring without building complex data pipelines or disrupting existing workflows.
We developed SafeRoute AI — a custom-built fleet analytics platform that:
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collects telematics data from GPS, CAN bus, and accelerometers using Teltonika FMB920 devices
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standardizes input into flat JSON files compatible with Excel
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analyzes driving behavior, route deviations, and ADAS events with Python-based batch algorithms
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seamlessly integrates with ERP, TMS, and WMS via REST API and MQTT
 
Client results:
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real-time route control and driving violation detection
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unified analytics across hundreds of vehicles — no need for external streaming infrastructure
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simplified Excel-based reporting for operational teams
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smoother system sync thanks to modular API architecture
 
Download the full report to explore how SafeRoute AI transforms fleet monitoring, enhances driver safety, and simplifies telematics analytics — all without overcomplicating your infrastructure.

