next previous Executing A Forecast

PEER Planner uses the four P’s of marketing strategy to help you forecast: To ensure that the right amount of product is in the right place at the right price, and that the product is promoted properly.

By creating accurate forecasts, PEER Planner helps you control costs, reduce cycle times, increase inventory turns and improve customer service.

Well Begun Is Half Done

This is an old, and very appropriate, proverb for the forecasting process.

The Delphus Batch Forecaster is an incomparable tool for ensuring that your beginning baseline forecasts are as accurate as possible.

When choosing Batch Forecaster from the PEER Planner program group, you will see the following screen:

Statistical Baseline Forecasts

By simply pressing the Start button, you can make accurate, expert and reliable statistical forecasts for a large number of products or end-items (SKU’s) by customer/location specific groupings. The Batch Forecaster module provides the baseline statistical forecasts that can be viewed and manipulated in the PEER Planner program. Its features include:

  • Statistically determined baseline forecasting – online and distributed
  • A complete family of forecasting models - Automatic or user selected
  • Best method selection - optimal parameter estimation
  • Optional outlier detection and correction
  • Run-time report
  • Adjustments for Planned Promotions and Events
  • Safety stock determination for DRP and inventory replenishment

Time-Phased Replenishment Forecasts

The inventory quantities obtained from the Batch Forecaster for use with the PEER Planner/DRP module includes the following:

  • Model name, smoothing parameters (up to 4)
  • Your model fit statistics (MAPE, mean error, MAD, RMSE)
  • Naive model fit statistics (MAPE, mean error, MAD, RMSE)
  • Fit coefficient, number of outliers. If outlier removal is selected, the number is counted after removal
  • Order quantity, lead-time demand, standard deviation, and safety stock.
  • Reorder point, average investment, annual stock turn, and number of shortages.
  • Actual, fitted, forecast, errors, level, trend, seasonal index, outlier indicator.

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