Zoomcar Unveils AI-powered Driver Score Tech Stack For Passenger Vehicles
Zoomcar has launched India’s first vehicle model agnostic Driver Score Tech Stack for the passenger car segment. The AI-Powered algorithm with machine learning capabilities tracks the mechanical specs of the car being driven, driving style of the customer and identifies critical events of driving and rates it on a scale of 0-100. The scoring system has capabilities to give real-time feedback to drivers in the advent of rash driving to help them adjust their behaviour accordingly. Within the first month of its launch, the driver score has successfully reduced the accident rate by 20% and maintenance and servicing cost by 25% for Zoomcar.
The company claims, the existing solutions available in India are neither designed for Indian conditions nor for passenger car segments. They are primarily designed for commercial vehicles and according to the western markets and demographics where driver scores are being used by insurance companies, police departments, and other regulatory authorities for some time now. Hence the existing solutions operate at an average of 50 - 60% efficiency here in India as the tech stack is incompatible or oblivious to a lot of variables that define Indian conditions. Zoomcar claims a 95% efficiency rate on their product.
Greg Moran, Co-Founder and CEO, Zoomcar said, ‘Our aim while developing this state of the art tech stack was to reduce accidents and improve asset longevity. Accidents were a major concern for us and we wanted a tech solution to help us mitigate it. Another important factor which drove innovation here was our objective to reduce the maintenance and insurance cost significantly on our assets. We can now partner with new-age insurance companies and have a dynamic, user-based pricing approach which would help us reduce insurance cost by as much as 50%’.
