5 Key Benefits of Data-Driven Fleet Management

5 Key Benefits of Data-Driven Fleet Management

1.

Embedded Telematics Data

Connected fleets eliminate the dependency on fragmented data solutions, such as aftermarket devices, blackbox, dongles and obsolete technologies, and instead rely on embedded data to emerge as a unified solution for all automotive data needs.

2.

Predictive Maintenance

Fleet managers dealing with connected fleet vehicles find it much easier to identify vehicle health and malfunction patterns, such as engine temperature, tire pressure, battery level and more, to proactively predict relevant maintenance schedules to prevent unexpected breakdowns and losses

3.

Unconditional Driver Safety

Thanks to real-time data and AI analysis, fleet service providers enable fleet managers to significantly upgrade driver safety. Connected car data concerning the driver’s performance, over speeding, rapid acceleration, mobile phone usage and seat-belt usage, as well behavior, fatigue level and drowsiness, can help detect obstacles and potential hazards and send appropriate alerts.

4.

Live Location Tracking

Data-driven mobility intelligence makes for a sure shot way to streamline fleet operations.

By monitoring the location of fleet vehicles in real-time, fleet service providers can enable fleet managers communicate route changes without delays, record accurate details and increase overall operational efficiency.

5.

Electric Fleets

Vehicle data makes the shift from conventional fleet vehicles to electrified fleets possible, with detailed information on the prerequisites necessary for setting up the charging infrastructure. Electric fleets benefit both the consumers and fleet managers with low running costs, discounted registration costs, improved driver health and reduced environmental pollution, but maximum productivity.

CEREBRUMX is an AI-powered deep learning platform that harmonizes connected vehicle data and in real-time, and enables the automotive ecosystem with advanced analytics and insights required to future-proof their business.

Our Industry’s first Augmented Deep Learning Platform (ADLP) breaks down data silos; collects and harmonizes data from multiple sources in real-time, thereby enabling our ecosystem partners to achieve better business outcomes.