IoT and machine learning based solution for corelating usage patterns with fuel consumption
Global Automotive Industry Leaders
Challenge
Vehicle owners’ complaints that hybrid vehicle mileage wasn’t living up to expectations.
Drivers’ lack of knowledge about the most fuel-efficient ways to drive hybrid vehicles.
Persistent lags in data arriving in connected vehicles, preventing realtime updates.
System architecture unsuited to requirements for high speed, volume and bandwidth.
Solution
Tapped on to vehicle usage data such as acceleration, braking, location, fuel consumption etc. from sensors using IoT based solution.
Aggregated trip data in cloud correlating usage events to fuel consumption using ML.
Calculated a driver score for trips.
Driver score information was provided back to user on their integrated mobile apps effectively coaching the user for fuel efficient driving.
Secure & scalable architecture on AWS.
Technologies
Benefits
Reduced customer complaints by 50%.
Helped a cross section of North American customers achieve their best fuel efficiency from hybrid vehicles.
Revealed that a majority of hybrid vehicle owners have a rough idea of their fuel usage. Nearly 75% have a very precise understanding and 86% check their fuel consumption regularly.
Enabled users to use better driver scores to lower insurance premium.