We have automated time series on our roadmap and would appreciate some example use cases. We know AutoTS can be useful for making predictions in retail sales, housing prices, and equipment failure. Can you elaborate on these, and identify some additional use cases?
Problem: A FinTech uses AdWords (e.g. good car loan, minimal interest loan etc) to attract new loan applications. However, they could find it hard to know which AdWords are driving sales, or what should be optimal bid price for each AdWord.
Solution: Using daily activity data for each AdWord (e.g. impressions, clicks) and sales, you can use DataRobot to find the associations between AdWord activities and sales. For example, it can find delays between customers seeing an advertisement and then subsequently making a purchase.