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JD Edwards EnterpriseOne Demand Forecasting and Advanced Forecast Modeling

Using sales history or other types of time-series data, Oracle's JD Edwards EnterpriseOne Demand Forecasting and Advanced Forecast Modeling enables you to efficiently develop a statistically based forecast to predict and plan future demand.

JD Edwards Demand Forecasting and Advanced Forecast Modeling is part of Oracle's JD Edwards EnterpriseOne Supply Chain Management family of applications.

FEATURES AND BENEFITS
Multiple statistical models, such as exponential smoothing, ARIMA, and Croston's intermittent.
Expert-selection forecast engine analyzes and combines various models to produce a forecast that best depicts your business.
Statistically based safety stock and constraint-based forecasting.
Scenario analysis allows you to evaluate exceptions to your sales history and plan for future events, including new product, location, and channel introduction.
Flexible data modeling allows you to model large and complex forecasting structures and easily make changes to your forecast model to reflect changes in your business and product structures.
Statistically based promotions and other forecasting events planning.
Causal analysis to plan for the impact of external predictive factors.
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