HYBRID DEMAND MODEL FOR PROMOTION PLANNING

摘要

A computer-implemented method uses sales data to fit static parameters of a demand prediction model that predicts a current demand based in part on a previous demand. The static parameters and the sales data are then used to fit dynamic states of a structural time series model, wherein the dynamic states change over time and are different for different time periods. A time period for a future price is selected and the future price is applied to the structural time-series model using the dynamic states for the time period to generate an expected demand for the time period.