Abstract
Objectives: An analysis of forecast system SAP-APO of a company producing food demand is made Methods/Statistical analysis: redefining the parameters of statistical models l module demand for SAP-APO, change the statistical model adaptive average seasonality and trend of historical data and categorize products according segmentation analysis to assign a different range of tolerance to each when comparing their demand forecasts with sales in recent months. Findings: After implementation the percentage improvement product to manually adjust decreased by 12.58%, compared to the previous level of attention. Application/Improvements: This decreased attention, resulting in an increase in the utility system more than 85%.
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