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.
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Predicting Payment Behavior in PAYGo
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Jul 18, 2018