AI-Powered Fleet Risk & Safety Analytics for Commercial Mobility

The challenge
Fleet telematics, dispatch schedules, and incident reports sit in separate tools. Safety managers cannot tell which routes are risky or whether coaching works, and noisy alerts lead to unfair driver assessments.

What we built
We built a fleet risk and safety platform that reconstructs every trip from GPS and telematics and links it to dispatch, vehicle, and incident data.

AI turns raw events into clear behaviour patterns, finds high-risk segments and conditions, and reads incident reports in context. Safety teams work from a prioritised review queue, assign coaching, and measure whether it worked. Operations can test route and schedule changes against risk.

Business value

  • Attention on the drivers and routes that need it
  • Fairer, evidence-based coaching
  • Risk improvements measured over time
  • Compliance evidence ready when needed

Where else it applies
The same approach transfers to public transport, delivery and logistics, insurance telematics, and field service fleets. It belongs to our Operations and Route Planning work: vehicles, stock, and production planned around real demand and real risk, not fixed schedules and spreadsheets.

Task

Find and reduce safety risk across a commercial fleet.

  • Strategy

    Reconstruct trips with operational context, then apply behaviour analytics and risk models with evidence-backed review.

  • Design

    Telematics streaming with trip reconstruction, AI behaviour and incident classification, and a coaching and reporting interface.

  • Client

    Commercial fleet operators and mobility providers in the EU and EMEA

  • Tags

    analytics, fleet, geospatial, Mobility, Operations, risk, safety, telematics

Let’s build together

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