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Discovering AI in SAP Integrated Business Planning /
Applying AI in Demand and Inventory Planning

Exploring SAP Business AI

Grasping the Scope of SAP Business AI15 min
Evaluating SAP's AI strategy: Reinventing How Businesses Run11 min
Analyzing SAP AI Ethics6 min
Quiz

Exploring Key Components and Applications of SAP Business AI

Assessing SAP Business AI Infused Across the SAP Product Portfolio6 min
Diving Deep into the Four Key Areas: Robotic Process Automation, Machine Learning, Generative AI, and Situation Handling6 min
Recognizing the Integration of SAP BTP with SAP Business AI (Trusted AI Foundation)6 min
Quiz

Introducing the Generative AI Copilot Joule

Familiarizing with the Benefits and Capabilities of Joule11 min
Quiz

Introducing Agentic AI and Joule Agents

Defining Agentic AI and the Potential of Joule Agents14 min
Quiz

Introducing Business AI in SAP IBP

Explaining SAP’s Business AI Strategy6 min
Recognizing AI Capabilities Across the SAP IBP Planning Process6 min
Quiz

Leveraging Joule for Enhanced Planning

Exploring Joule's Interaction Patterns and Document Grounding Capabilities in SAP IBP8 min
Demonstrating the transactional capabilities of the Joule copilot in SAP IBP5 min
Quiz

Applying AI in Demand and Inventory Planning

Describing GenAI-Powered Natural Language Formula Creation in the SAP IBP Excel Add-In4 min
Analyzing Master Data Quality Issues and Validating Product Entries from ERP Sources4 min
Understanding AI in Demand Planning Preprocessing13 min
Analyzing Artificial Intelligence in Demand Planning Forecasting Algorithms8 min
Exploring Artificial Intelligence in Demand Planning Forecast Explainability via GenAI8 min
Explaining AI-Driven Inventory Planning Lead Time8 min
Describing Service Level Prediction8 min
Understanding AI Explainability for Safety Stock Drivers8 min
Quiz

Enhancing Supply Planning and Exception Management with AI

Analyzing Time Series Optimization Results with Joule8 min
Responding to Supplier Delays Through Joule8 min
Quiz

The Future of AI in SAP IBP Intelligent Agents

Articulating the Product Vision for AI in SAP IBP13 min
Summarizing the Four Primary Focus Areas for AI-Agents within IBP13 min
Quiz

Exploring SAP Business AI

Grasping the Scope of SAP Business AI15 min
Evaluating SAP's AI strategy: Reinventing How Businesses Run11 min
Analyzing SAP AI Ethics6 min
Quiz

Exploring Key Components and Applications of SAP Business AI

Assessing SAP Business AI Infused Across the SAP Product Portfolio6 min
Diving Deep into the Four Key Areas: Robotic Process Automation, Machine Learning, Generative AI, and Situation Handling6 min
Recognizing the Integration of SAP BTP with SAP Business AI (Trusted AI Foundation)6 min
Quiz

Introducing the Generative AI Copilot Joule

Familiarizing with the Benefits and Capabilities of Joule11 min
Quiz

Introducing Agentic AI and Joule Agents

Defining Agentic AI and the Potential of Joule Agents14 min
Quiz

Introducing Business AI in SAP IBP

Explaining SAP’s Business AI Strategy6 min
Recognizing AI Capabilities Across the SAP IBP Planning Process6 min
Quiz

Leveraging Joule for Enhanced Planning

Exploring Joule's Interaction Patterns and Document Grounding Capabilities in SAP IBP8 min
Demonstrating the transactional capabilities of the Joule copilot in SAP IBP5 min
Quiz

Applying AI in Demand and Inventory Planning

Describing GenAI-Powered Natural Language Formula Creation in the SAP IBP Excel Add-In4 min
Analyzing Master Data Quality Issues and Validating Product Entries from ERP Sources4 min
Understanding AI in Demand Planning Preprocessing13 min
Analyzing Artificial Intelligence in Demand Planning Forecasting Algorithms8 min
Exploring Artificial Intelligence in Demand Planning Forecast Explainability via GenAI8 min
Explaining AI-Driven Inventory Planning Lead Time8 min
Describing Service Level Prediction8 min
Understanding AI Explainability for Safety Stock Drivers8 min
Quiz

Enhancing Supply Planning and Exception Management with AI

Analyzing Time Series Optimization Results with Joule8 min
Responding to Supplier Delays Through Joule8 min
Quiz

The Future of AI in SAP IBP Intelligent Agents

Articulating the Product Vision for AI in SAP IBP13 min
Summarizing the Four Primary Focus Areas for AI-Agents within IBP13 min
Quiz

Knowledge quiz

It's time to put what you've learned to the test, get 7 right to pass this unit.

1.

What does demand sensing in SAP IBP use to support rapid adaptation to changing demand signals?

There are three correct answers.

Only annual sales trends from prior fiscal years

Correlations with orders, deliveries, and snapshots

Exclusively manual input from demand planners

Pattern detection for daily and weekly short-term forecasts

Calendar events and detected change points

2.

What are the key features of forecast explainability in SAP Business AI for demand planning?

There are three correct answers.

Detailed drilldowns showing numeric KPIs, preprocessing steps, and algorithm performance

Natural language summaries that explain how forecasts were derived

Automatic replacement of all human forecasting decisions

Elimination of the need for forecast validation

Access to explainability features in both the Planner workspace and Excel add-in

3.

What machine learning techniques does SAP IBP's demand module use in preprocessing to improve forecasting accuracy?

There are three correct answers.

K-means clustering algorithms for automatic product segmentation

Change point detection to identify significant shifts in historical data

Automatic outlier correction using a majority voting mechanism

Deep learning neural networks for real-time pricing optimization

Reinforcement learning to autonomously adjust supply chain logistics

4.

What inputs are essential for calculating recommended inventory targets in the service level prediction process?

There are three correct answers.

Real-time social media sentiment analysis

Optimized demand plan based on forecasted data

Lead time derived from historical data and forecasts

Target customer service level defined by the business

Current competitor pricing strategies

5.

How does inventory explainability via GenAI support inventory planners when the system recommends a significant safety stock change?

There are three correct answers.

By providing clear summaries of the factors driving the recommendation

By offering diagnostic key figures to validate whether the results are reasonable

By automatically implementing the recommended change across the entire supply network

By removing the need for planners to understand supply chain variability

By enabling planners to quickly determine if changes stem from forecast variability or lead time shifts

6.

How does the planning assistance feature improve the user experience when working with conditional formatting in Excel?

There are three correct answers.

Planners can describe their formatting needs in natural language

After a right-click, the assistant configures Excel formatting based on the planner's spoken instructions

The assistant automatically applies all available formatting options without user input

The feature restricts formatting options to prevent user errors

Planners receive step-by-step guidance to manually apply conditional formatting rules

7.

Which of the following capabilities does the AI-enabled approach in SAP IBP provide for master data management?

There are three correct answers.

Automatically deleting all duplicate records without human review

Detecting outliers and inconsistencies in master data

Self-learning rules based on historical patterns

Recommending data corrections to improve quality

8.

What are the key improvements that embedded AI brings to inventory planning for lead time prediction?

There are three correct answers.

Eliminating the need for human planners in supply chain decisions

Automatically adjusting inventory levels without considering business goals

Using historical actual lead time data instead of static assumptions

Enabling seasonal-aware and dynamic planning through machine learning

Aggregating data from multiple sources like ERP systems for predictive models