SafeRoute AI: Smart logistics solution for real-time truck tracking

A large international logistics company turned to WEZOM to improve route efficiency, reduce fleet wear, and enhance safety. Their goal was to implement a GPS and accelerometer-based platform to analyze truck sensor data, without relying on costly streaming infrastructure or complex DBMS solutions.

Objective
Create a telematics platform that processes data from Teltonika FMB920 trackers, identifies key events (idling, speeding, deviations), detects aggressive driving, and integrates seamlessly with ERP/TMS systems—all while enabling analytics in Excel via flat files.

Our Approach

• Data Collection & Standardization: Using Teltonika FMB920 devices, data is gathered via GPS, accelerometer, and CAN bus. It’s transmitted using Teltonika’s protocol and converted into a standardized JSON format.

• Event Detection: We built algorithms to detect route deviations, idle periods, speeding, and aggressive driving using GPS and sensor data. Support for ADAS events like collision warnings and lane departures enhances road safety.

• Batch Processing: The system operates in batch mode, exporting data into Excel files for simplified analysis. This eliminates the need for heavy database infrastructure.

• Integration & Sync: REST API and MQTT broker ensure full synchronization with ERP/TMS/WMS systems and third-party platforms, enabling seamless access to telematics data and real-time alerts.

Results

• Unified analysis of data from hundreds of trucks

• Driver behavior and route anomalies are automatically detected

• Full Excel-based analytics with no server maintenance

• Smooth integration with corporate systems via API and MQTT

With SafeRoute AI, the client now benefits from enhanced control over fleet performance, safer transportation, and simplified telematics management, without the cost of complex infrastructure.