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Angad Arora
Angad Arora

Angad Arora

Data Scientist
Google

Warranty Rate forecasting for Google Pixel Smartphones

For product companies, it is important to be able to forecast product return rates to perform provisioning without having to maintain a surplus inventory. A common way to predict return rates is through modeling product returns using survival models, which operationally amounts to the fitment of a Weibull distribution to the product returns until a certain cut-off date.For all hardware and devices companies Weibull holds gold standard for forecasting the return rate . In this presentation , We aim to deep dive on consumer returns , highlight nuances where weibull fails to provide accurate forecast and show how we feature engineer those cases in order to produce accurate forecasts