Analytics (with PAI 5.0.0.1) > Available PAI Dashboards > Forecast Intelligence > SKU Forecast Analysis > SKU Forecast Analysis (Technical Specification)
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 Error Details — The types of errors for each forecast method by SKU
SKU Forecast Details
The data used to generate this mini-dashboard is based on the following:
Analytical Object
AO_PAI_ML_SFA_SKUForecastDetails
Query Object
QO_PAI_ML_SFA_SKUForecastDetails
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_ML_SFA_SKUErrorDetails
Query Object
QO_PAI_ML_SFA_SKUErrorDetails
Data Source
PAI Machine Learning
Cab File
MachineLearningForecasting.cab
Parameters
None
Predecessor Jobs
None
Build Type
None
Build Frequency
None
• ForecastStream
• HighRisk
• Location
• MethodName
• Part
Measure
Mathematical Function
Bias
Sum of Bias
Bias Value
Sum of (Bias * Price)
Average of MAPE
Average of RMSE
Average of MAD
Average of Forecast Accuracy
Average of Tracking Signal
Was this helpful?