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[[{“value”:”Discover how to automate demand planning with SAP Integrated Business Planning (SAP IBP), from sales data analysis to more accurate forecasting.
Creating an accurate demand plan involves multiple recurring activities. With the advanced end-to-end demand planning automation solution process in SAP IBP, organizations can streamline forecasting, reduce manual effort, and help demand planners focus on market insights, exceptions, and informed business decisions.
In this video, explore how SAP Best Practices for SAP IBP support an automated demand planning process, beginning with historical sales data, time series analysis, and change point detection. The solution uses multi-dimensional product segmentation, including ABC/XYZ analysis, sales frequency, product lifecycle status, and data availability, to identify the most suitable forecasting approach for each planning combination.
See how automated forecasting mode assignment and execution generate a 12-month statistical demand forecast while keeping planners involved in the decisions that matter. Local demand planners review configurable alerts, incorporate market intelligence, and make adjustments where necessary. Global demand planners then consolidate changes and release the final demand plan. Forecast error calculations and lag-based snapshots help teams evaluate accuracy and identify opportunities for continuous improvement.
In this video, you’ll learn how to:
– Analyze historical demand patterns, trends, and seasonality.
– Segment products using multiple planning criteria.
– Automatically assign and execute suitable forecasting methods.
– Generate a 12-month statistical demand forecast with less manual effort.
– Review exceptions and incorporate local market intelligence.
– Track forecast accuracy and adapt planning approaches in each cycle.
By re-evaluating products with every planning cycle, this automated process helps organizations create a more focused, adaptive, and scalable approach to demand planning.
Chapters
00:00 – Introduction to Automated Demand Planning
00:38 – Historical Data Analysis and Change Point Detection
00:48 – Product Segmentation and Forecasting Criteria
01:17 – Automated Forecasting Mode Assignment
01:41 – Generating a 12-Month Demand Forecast
01:49 – Planner Review and Market Intelligence
02:08 – Forecast Accuracy and Continuous Improvement
02:30 – Adaptive Planning and Next Steps
Explore SAP Best Practices for SAP Integrated Business Planning in SAP Process Navigator:
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About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://sap.to/6052BHlwvO
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