A method for forecasting a future inventory demand includes receiving historical demand data associated with a part number and statistically analyzing the historical demand data associated with one or more part numbers to identify each part number as one of a seasonal part number, a quasi-seasonal part number, a high variability part number, or a non-seasonal part number. If the part number is identified as a seasonal part number, a first inventory requirement for a first predetermined portion of a future demand period is estimated. If the part number is identified as a quasi-seasonal part number, a second inventory requirement for a second predetermined portion of a future demand period is estimated, wherein the second predetermined portion of the future demand period is a multiple of the first predetermined portion. If the part number is identified as a high variability part number, a third inventory requirement for a third predetermined portion of a future demand period is estimated.