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VHPF: Virtual High-Performance Forecasting.

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VHPF: Virtual High-Performance Forecasting.

Virtual High-Performance Forecasting enables forecasters to automatically and accurately generate large volumes of forecasts to support the planning needs at all levels of business, including the most operational level. Virtual High-Performance Forecasting brings unsurpassed scalability, automation and analytical sophistication to the forecasting process. It can generate millions of forecasts in the turnaround time necessary to run your business. Its automated sophistication uncovers previously undetected trends and predicts future fluctuations, creating ample opportunities to reduce costs and increase revenue.

Virtual  High-Performance Forecasting is designed for forecasters and analysts responsible for producing many forecasts and guaranteeing the accuracy of the forecasts. It is especially desirable for organizations that require automation due to the number of forecasts or that lack highly analytical forecasters.

Key Benefits Reduce excess inventory. VHP forecasting capabilities provide insights into future demands for your products, enabling you to better match supply with demand and avoid excess inventory and the associated expenses. With Virtual High-Performance Forecasting, forecasts can be calculated for every product at every location. Forecasts are generated in a scalable batch process so they can be easily integrated into a production forecasting environment. By integrating forecasting results into planning processes, you can reduce lost sales, improving your bottom line and customer satisfaction.

Significantly reduce forecasting error. Virtual  High-Performance Forecasting provides statistically sophisticated forecasts automatically. Forecasters do not have to be experts to create high-quality forecasts.

Improve forecasts for items that rarely sell. The software includes intermittent demand models designed to forecast slow-moving goods. Virtual  High-Performance Forecasting models produce a recommended stocking level designed to match inventory with the next spike in demand.

Key Features Automatic Forecasting. Virtual  High-Performance Forecasting produces forecasts by intelligently selecting the forecasting models that best fit your historical data. Unlike other forecasting systems that may impose a single model on a group of items, Virtual  High-Performance Forecasting selects the appropriate model for each item being forecast based on user-defined criteria. Model parameters are automatically optimized to provide the best fitting model, resulting in more responsive and accurate forecasts. Holdout samples can be specified so that forecasting models are selected not only by how well they fit the past data, but also on how well they are likely to predict the future. Virtual  High-Performance Forecasting chooses among several families of forecasting models, including exponential smoothing, unobserved components models and intermittent demand models.

Automatic and Event Selection. Virtual  High-Performance Forecasting automatically selects the regressors ("explanatory variables") or events that aid in the forecasting process. Virtual  High-Performance Forecasting selects those regressors and events that improve the forecasting model from any number of regressors supplied to the system in the modeling process. In addition to selecting the most useful regressors and events, Virtual  High-Performance Forecasting automatically determines how they are to be specified in the model. Virtual  High-Performance Forecasting examines not only the contemporaneous relationships of the regressors and events to the items being forecast, but also determines whether lagged and/or dynamic relationships are present. Variable transformations, lags and transfer function definitions are computed automatically, making Virtual  High-Performance Forecasting the most advanced large-scale forecasting software on the market.

Automatic Outlier Detection. Virtual  High-Performance Forecasting examines the history of each item being forecast and automatically identifies outliers and shifts in the data. Subsequent forecasts adjust for these outliers and shifts appropriately, preventing spurious results in the forecasts due to abnormalities in the data. The automatic detection of outliers and shifts in the data allows forecasters to better address the large-scale forecasting problem by spending less of their time fixing data problems and more time focusing on more important forecasts.

Automatic Candidate Model List Generation. If a candidate model list is not supplied to the system, Virtual  High-Performance Forecasting can automatically generate a tailored model list for each item being forecast. Virtual  High-Performance Forecasting automatically generates the best, exponential smoothing and unobserved components models for a particular series. Virtual  High-Performance Forecasting is highly advanced and can specify very complex models. The system automatically determines the order of ARIMAX models, whether regressors are needed and their specification in the model and which components are needed in unobserved components models. In addition, Virtual  High-Performance Forecasting provides the facility for users to define their own models and add them to the automatic model selection list. Forecasters can specify any form of ARIMAX, Unobserved Components Models, Exponential Smoothing or Intermittent Demand Model and apply the customized models to any series being forecast.

Large Scale Batch Processing. Virtual High-Performance Forecasting is designed to run in a batch environment, giving it the ability to produce millions of forecasts in the turn around time required to run your business. Shrink-wrapped forecasting packages cannot achieve the desired results in a truly scalable fashion.

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