SKU Forecast Analysis - Technical Specification
These are the mini-dashboards that comprise the Forecast Accuracy Intelligence dashboard:
• SKU Forecast Details — A graphical representation of demand and forecast, comparing all the evaluated forecast methods
SKU Forecast Details
The data used to generate this mini-dashboard is based on the following:
Analytical Object | AO_PAI_SKUForecastDetails |
Query Object | QO_PAI_SKU_FORECAST_DETAILS |
Data Source | PAI Machine Learning |
Cab File | MachineLearningForecasting.cab |
Parameters | Name | Description | Default |
---|
PO_PAI_ML_FORECAST_SKUS | User defined SKU list | Check default value in parameter object for correct format |
|
Predecessor Jobs | None |
Build Type | None |
Build Frequency | None |
| • ForecastSliceDate • ForecastStream • Location • MethodName • Part |
| Measure | Mathematical Function |
---|
ForecastAmount | Sum of Forecast Amount | .(expression} | Sum of [Forecast Amount]*1 |
|
SKU Error Details
The data used to generate this mini-dashboard is based on the following:
Analytical Object | AO_PAI_SKUErrorDetails |
Query Object | QO_PAI_SKU_ERROR_DETAILS |
Data Source | PAI Machine Learning |
Cab File | MachineLearningForecasting.cab |
Profiles | Used for building the Forecast Accuracy Intelligence dashboard |
Parameters | None |
Predecessor Jobs | None |
Build Type | None |
Build Frequency | None |
| • ForecastStream • Location • MethodName • Part |
| Measure | Mathematical Function |
---|
| Average of MAPE | | Average of RMSE | | Average of MAD | Forecast Accuracy | Average of Forecast Accuracy | Tracking Signal | Average of Tracking Signal |
|