Fleets are generating huge amounts of data real time such as location, engine rpm, speed, emission, etc but are not able to use it for their operational efficiency improvements.

iGloble's Connected Fleet transforms the collected information into useful insights using machine learning and artificial intelligence that are being used by the fleets for making the right decisions at the right time for an operational costs savings of 8-10% annually.


Machine Learning based Predictive Maintenance

Predictive maintenance is leading the change from preventive maintenance. iGloble is using IoT devices for the data acquisition and applying machine learning on the same data by integrating the driving behaviour, environmental condition, and terrain information brings in accuracy on the failure predictions leading to 5-7% of operational savings.

Advance Engine Diagnostics

Using iGloble's iPredictive and iPrescriptive engine, you will be get alarms for engine related issues in advance so that you are safe and able to plan your operational costs better.

Informed Decision Making: Get advance alerts for engine related problems and possible solutions.
Real time data on engine related parameters such as engine coolant, absolute throttle position, etc.
Real time engine dashboard showing engine and vehicle health.

Fuel Efficiency Analytics

iGloble's Fuel Analytics report fuel efficiency by trip and recommends steps for improvement.

Alerts for fuel efficiency trends and recommendations.
Real time fuel efficiency reports by trip.
Dashboard for fuel efficiency for vehicles with recommendations.

Driving Behaviour Analytics

iGloble's Safe Driving helps improve the driving behaviour using fatigue driving, excessive idling, over speeding parameter leading to increased driver and vehicle safety. This will be used for driving training programs..

Alerts for driving behaviour.
Real time alarms for over speeding, sharp corners, high RPM, etc.
Driving behaviour trends by trip and recommendations.
Insights from Experts

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