AI analyses historical and real-time data to identify potential vehicle failures in advance, reducing the risk of unexpected breakdowns.
AI analyses driving behaviour to detect fatigue, speeding or distraction. Alerts drivers to promote safer driving or complete trainings.
Combined with sensor data, AI detects objects and potential collisions. Issues alerts or automatically brakes or steers to avoid accidents.
Traffic, weather & road conditions, and taken into consideration by AI to determine the safest and most efficient routes for drivers.
AI uses real-time data to support features like lane keeping, adaptive cruise control etc., to improve reaction times and reduce stress.
Without AI, fleets are faced with an increased risk of accidents due to distraction, poor driving behaviour, and unforeseen road conditions.
Accidents and sudden breakdowns can lead to unplanned costs and missed opportunities. Maintenance tends to run on a fixed schedule instead of analysing data in real-time resulting in more frequent repairs and increased downtime.
Not utilising AI means you're not automating fleet analytics to the full potential. As a consequence, process and tasks are not streamlined and can lead to higher workload and lower productivity.
Fleets managers who don't use AI typically rely on manual processes instead of predictive analytics. This is time-consuming, error-prone and can lead to operational inefficiencies.
Around the globe, our network reaches over 184 countries.
We provide the underlying transport network, the virtual overlay, and the platform to prioritise everything.
We have been recognised by industry analysts as leading network providers.