You can select the combination of customer and product data to display from the context selectors in the top-right corner. You can also manually enter the reference ID if you know it.
Input to Stat
This card displays the forecast basis input from which the statistical forecasts are calculated. Input to Stat is set in the demand application D1000 - Global Demand Parameters. When there's more than one forecast basis, the Mixed Data Check is highlighted in pink. For example:
- When the demand forecast basis for customer-product A is set to Corrected History.
- When customer-product B is set to Pure Demand.
Note: To make sure an accurate view of forecasts is displayed when you select a higher customer hierarchy level than customer-product at the leaf level, align the forecast basis for all customer-product combinations uniformly.
View Settings
Set display parameters in the View Settings pane.
Parameters
| Parameters | Values |
| View Years History | The number of years history you can view. If you enter more than the maximum history available, then the maximum available displays. |
| View Years Future | The number of future years you can view. If you enter more than the maximum available, then the maximum available displays. |
| View Period Type | Displays the fiscal or rolling year:
|
Trend Methods Chart
The Trend Methods chart displays all statistical forecasts for the trend forecast methods:
- Linear Regression
- Logarithmic Regression
- Exponential Regression
- Power Regression
- Rolling Lnear Regression
- Double Exponential Smoothing
The page includes these charts, which display each of the forecasts separately, method by method:
- Linear Regression
- Logorithmic Regression
- Exponential Regression
- Power Regression
