Predicting the demand for promotional or newly launched items is an ongoing challenge for consumer manufacturers. While the variability in demand for these events is tremendous, promotions constitute a large percentage of total revenue. Although many statistical methods have been used, General Mills wanted to know if other methods could provide better forecasting results.