Sales forecasting using time series and neural networks

This paper presents the use of time series ARIMA model with interventions, and neural network backpropagation model in analyzing the behavior of sales in a medium size enterprise located in Santa Maria (RS), Brazil for the period January 1979 - December 1989. The forecasts obtained using the backpropagation model were found to be more accurate than those of ARIMA model with interventions.