eBikeGo Launches EBG-Matics For Its Advance Fleet Management System

eBikeGo, an electric two-wheeler mobility platform, has recently developed an IoT-based telematics system called EBG-Matics. The system uses AI and machine learning to analyze rider and vehicle behavior in order to track and improve efficiency.

The device follows the 0.5 – 5 – 50 formula, in which 0.5 implies that the vehicle should be repaired within half an hour in case of any downtime or fault, 5 means that vehicles and their assets should last at least 5 years, and 50 means that only 50% of the cost should be spent on maintenance.

The companies expect Insurance companies and banks to benefit from the data received through EBG-Matics.  The company also plans on offering full analytics data or business intelligence to last-mile delivery operators using EBG-Matics. The data will enable them to determine whether the delivery agent is driving erratically and misusing assets or not helping them make any commercial judgments based on this. The System will provide modern vehicle tracking solutions with conventional traditional features such as position, orientation, speed, and range estimation in vehicle tracking units.

EBG-Matics is included as standard in all eBikeGo fleets and may be used to effectively rate the vehicle's health using the eBikeGo rating system. Consumers will be able to tell how nice a vehicle is based on its eBikeGo rating. This will be the standard for all future electric vehicles.

“We provide insight to the mobility market with our new innovation - EBG-Matics. Since the safety of our drivers is our first priority, we're combining a number of critical technologies, including IoT and AI, to take vehicle tracking to the next level. In terms of sweetening the value proposition of electric vehicles and making them more accessible to the general public, we believe these technologies have as much potential as the next breakthrough in battery technology” said Irfan Khan, Founder & CEO of eBikeGo.