The forecasting module is designed to illustrate the main forecasting methods without claiming to cover all the functions included in dedicated softwares.

The module allows to implement the basic forecasting methods at two levels:

• in the S&OP, it allows to forecast on a monthly basis,
• In the Short term, it can make weekly forecasts.

It may take into account:

• trend,
• seasonnality.

Trend and seasonality corrections may be additive or multiplicative.

The forecast can be can be calculated using:

• moving average,
• exponential smoothing.

Historical data must be entered manually.

A feature lets you search for optimal parameters from the history.

Forecast for S&OP

The history of monthly sales is entered on family items on any number of years.
You select the parameters of the forecasting model. The forecasts are calculated over any number of months. The forecast errors are calculated.
If you are satisfied with the forecast, data can be transferred automatically in the S&OP.

Short-term forecasts

The history of sales per item is entered manually on any number of past weeks.
You choose the parameters of the forecasting model. Forecasts are calculated over the number of weeks chosen. The forecast errors are calculated.
If you are satisfied with the forecasts, they can be transferred automatically in the sales forecast window.