Replace rigid APO planning with dynamic, integrated scenario planning with SAP IBP. Achieve up to 20 % higher forecast accuracy and lower Inventory costs by up to 15 %.
Many industrial companies today are faced with the challenge of organising their supply chains flexibly and resiliently – and are increasingly reaching the limits of their existing SAP APO planning software. Planning that focuses on the plant level hinders a holistic view of the network and leads to isolated decisions that have a negative impact on stock levels, capacity utilisation and delivery reliability.
The lack of simulation options means that risks and alternatives cannot be assessed in a well-founded manner – scenarios are often mapped in Excel, which slows down processes and increases the susceptibility to errors.
There is also a lack of transparency regarding stocks, requirements and capacities in the overall network, which makes proactive management more difficult. In a dynamic market environment with fluctuating demand, supply bottlenecks and short-term changes, this planning practice leads to unnecessarily high costs, inefficient use of resources and limited responsiveness along the end-to-end supply chain.
Accurate planning with AI-supported forecasting
By using innovative algorithms and continuously learning models, SAP IBP significantly improves the prediction quality – over a period of up to 24 months.
Reduce stock, secure service level
New safety stock models based on real-time data enable needs-based stocking – and at the same time reduce capital commitment and storage costs.
Utilise capacities more efficiently
Production programmes can be stabilised and additional costs avoided through cross-location planning and improved transparency regarding bottlenecks and resources.
React flexibly – locally and globally
Networked planning across all plants and locations creates the conditions for rapid reactions to market changes, supply bottlenecks or fluctuations in demand.
"Every day, the company has new ideas and new requirements on how the process can be improved. Our way of working enables us to keep the process of continuous improvement going."
Uwe Krause, Senior Program Manager, Rheinmetall IT
Analysis of the initial situation, target definition, architecture design
Technical implementation, integration of data sources, user enablement
Parallel operation, go-live, stabilisation, continuous optimisation
Project duration: 2 to 12 months - depending on complexity and scope
Find out in detail how the path to integrated planning with SAP IBP works in this blog post.
Our M-cbs method is designed for the complex challenges of company-wide change projects. M-cbs is our DNA.
Deepen your knowledge of the transformation from SAP APO to SAP IBP: discover practical success stories, white papers and further materials on strategic planning along the supply chain.
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