SAP IBP for Demand
In this advanced configuration course, you will gain a solid understanding of the SAP IBP for Demand business processes including Demand sensing with Machine Learning algorithm and their associated configuration.…
Last Updated: March 2026
Overview
In this advanced configuration course, you will gain a solid understanding of the SAP IBP for Demand business processes including Demand sensing with Machine Learning algorithm and their associated configuration. Instructor-led training is supplemented with hands-on exercises. Do not attempt…
Course Goals
- Outline model components of SAP IBP for demand
- Perform Data Preparation
- Execute a mid- / long-range forecast
- Configure Demand Planning functions
- Work with forecast accuracy
- Execute Demand Sensing processes
Lessons and Topics
- Introduction to SAP IBP for demand
- Explaining Demand Planning
- Describing Model Components - Master Data Types and Key Figures
- Data Preparation
- Cleaning Data Manually
- Cleaning Data Automatically
- Forecasting
- Using Forecast Profiles
- Determining the Best Forecast Model
- Assigning Forecast Models
- Using Multiple Linear Regression
- Using Composite Forecasting
- Incorporating Market Input
- Measuring Performance Using Alerts
- Lifecycle Planning
- Planning product lifecycles
- Using Phase-in and Phase-out Profiles
- Manual Forecasting
- Realigning Data
- Promotion Planning
- Planning Promotions
- Creating Promotions
- Managing Past Promotions
- Demand Plan Release
- Using Financial Key Figures and Pricing
- Releasing a Demand Plan
- Measuring Forecast Performance
- Using Analytics and Dashboards
- Using Snapshots
- Forecast Accuracy
- Using ABC and XYZ Segmentation
- Using Time Series Analysis
- Setting up Alerts for Forecast Accuracy
- Performing Analysis in the SAP Fiori Web UI and the Excel UI
- Tailoring Your Forecasts
- Demand Sensing
- Introducing Demand Sensing
- Describing the Model Component Demand Sensing
- Setting up Demand Sensing with Gradient Boosting (2.0) Algorithm
- Managing Demand Sensing
- Tailoring the Demand Sensing Algorithm
- Approving the Demand Sensing Results
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