Hello everyone!
I know a daily forecast isn't easy thingh to do, but I belive is possible give a reasonable solution using SAS High Performance Forecasting in supply chain demand for a short shelf-life products.
For a "regular" period the traditional time series metrics doing very well, but for a period before the holiday, for example, the prediction wasn't so satisfatory.
I believe a hybrid model ARIMA+fuzzy model should reduce the variability of the demand information.
The question is: Have anyone tried combine time series models and fuzzy or network models in SAS ?
Thanks.
