Manage Forecast Profile
Application component: Service Parts Planning
App type: SAP GUI
Description:   In Extended Service Parts Planning (eSPP) you can use forecast profiles, forecast models, and forecast strategies.   A forecast model defines how the system proceeds when determining the forecast. For example, there are forecast models, where the system smooths historical data or calculates average values, or where trend and seasonal behaviour is considered.  A forecast strategyresults from a forecast model and a calculation rule. The calculation rule defines which parameters the system calculates and which parameters are produced by it. For example, the system can calculate the Demand parameter, and thus also calculate, with single exponential smoothing, the Average Demand per Order Item parameter. Then using these two forecast key figures it can determine the forecast key figure Number of Order Items.   Aforecast profile contains a forecast strategy or a forecast model as well as all the parameters that the system needs to determine the forecast. For example: the amount of historical data that the system uses for creating forecasts, the type of forecast error that the system uses during automatic model selection and a profile for determining the final forecast. 
Key features:   Forecast Models  For each location product, you can decide which forecast model the system uses when creating the forecast. You can either make this decision yourself, or the system decides during automatic model selection   The following forecast models are available in eSPP:    Single exponential smoothing     Brown's exponential smoothing     Moving average     Linear regression     Triple exponential smoothing     Seasonal trend model with fixed period groupings     Intermittent model    Dynamic moving average   Declining demand forecast Note  You can only use the Declining Demand Forecast forecast strategy if you have chosen one of the following periodicities in Customizing:    Month    Posting period with exactly 12 posting periods per year      ARIMA/ARIMAX model   Gradient boosting of decision trees     Forecast Strategies  A forecast strategy consists of a forecast model and the forecast calculation rule. The forecast calculation rule defines which of the following roles are played by the parameters demand, number of order items, and the average demand per order item .     The leading parameter is either the demand or the item. You can tell which it is by the name of the forecast strategy. For example, in the forecast strategy Single Exponential Smoothing (Based on Demand), the demand is the leading parameter.     The constant parameter is always the average demand per order item. The system calculates this using single exponential smoothing.       The dependent parameter is either the demand or the item, depending on which is the leading parameter. The system determines the forecast of the dependent parameter from the forecast of the leading parameter and the forecast of the constant parameter.    The following forecast strategies are available in eSPP:     A1 - Single Exponential Smoothing (Based on Demand)     A2 - Single Exponential Smoothing (Based on Order Item)     B1 - Brown's Exponential Smoothing (Enhanced)     C1 - Moving Average     D1 - Linear Regression     E1 - Triple Exponential Smoothing     F1 - Seasonal Trend Model with FPG     G1 - Intermittent Model     H1 - Dynamic Moving Average     I1 - Declining Demand Forecast (Item Is a Dependent Parameter)     J1 - Customer-Defined Forecast (Based on Demand)    J2 - Customer-Defined Forecast (Based on Order Item)    K1 - ARIMA(X)/SARIMA(X) Model    Q1 - Gradient Boosting of Decision Trees   If you want to work with your own forecast strategy, you can implement the Business Add-In (BAdI) BAdI: Define Customer-Defined Forecast Strategy  (/SAPAPO/BADI_FCST_STRATEGY) and define your own forecast strategy here that creates a forecast for demand.The system calculates the Average Demand per Order Item parameter using single exponential smoothing, and then using these two forecast key figures it can determine the forecast key figure Number of Order Items. For more information, see the Implementation Guide (IMG) for Extended Service Parts Planning under Business Add-Ins (BAdIs) for Extended Service Parts Planning  BAdIs for Forecasting  BadI: Determine Customer-Defined Forecast Strategy.    Forecast Profiles  In the forecast profile you define a forecast strategy or a forecast model and the parameters that the system needs to determine the forecast for each strategy. You assign a forecast profile to each location product for which the system is to carry out a forecast.  If you have not assigned a forecast profile to a location product, the system passes on a forecast profile to this location product. For more information, see Forecast Profile Inheritance.   You can also copy forecast profiles. For example, you can define a forecast profile for a product, and copy this forecast profile to all location products belonging to this product. For more information, see Copying Forecast Profiles.  You can define a forecast profile from the SAP Easy Access screen under Logistics  Extended Service Parts Planning  Planning  Forecasting  Forecast Profile.   
Business roles: Demand Planner - Service Parts
Demand Planner - Service Parts : 
Is responsible for the demand plan of several products or product groups in a country or region. Has deep business and market knowledge about the sales of the products, statistical forecasting, and how to optimize processes in Supply Chain Planning.