by Xiaojia Guo, Kenneth C. Lichtendahl Jr., and Yael Grushka-Cockayne
Many important business decisions rely on a manager’s forecast of a product or service’s life cycle. One of the most widely used forecasting techniques is exponential smoothing models. This paper introduces a model suitable for large-scale forecasting environments where key operational decisions depend on quantile forecasts.
Quantile Forecasts of Product Life Cycles Using Exponential Smoothing
Many important business decisions rely on a manager’s forecast of a product or service’s life cycle. One of the most widely used forecasting techniques is exponential smoothing models. This paper introduces a model suitable for large-scale forecasting environments where key operational decisions depend on quantile forecasts.