Predicting Payment Behavior in PAYGo
With over one million units sold in the last five years and over 50,000 units installed each month, the PAYGo model makes solar affordable for end-users and provides sufficient margin for providers to scale last-mile distribution. However, for the model to succeed PAYGo operators must retain customers and build a base of loyal and engaged customers. This FIBR project with Zola Electric (formerly Off Grid Electric) demonstrates that machine learning can help them do so. FIBR is a project of BFA in partnership with Mastercard Foundation.