Business challenge/requirement: Lithionpower is the largest provider of electric vehicle(e-vehicle) batteries. It provides battery on a rental model to e-vehicle drivers. Drivers rent battery typically for a day and then replace it with a charged battery from the company. Lithionpower has a variable pricing model based on driver's driving history. As the life of a battery depends on factors such as overspeeding, distance driven per day etc.You as a ML expert have to create a cluster model where drivers can be grouped together based on the driving data.
Key issues: Drivers will be incentivized based on the cluster, so grouping has to be accurate
Business benefits: Increase in profits,up to 15-20% as drivers with poor history will be charged more