How Audi used IBM Planning Analytics to respond to a changing world
Audi, the German luxury car manufacturer, faced increasing challenges in integrated business planning due to evolving global pressures such as CO2 regulations, the COVID pandemic, and the shift towards electric vehicles. Traditional tools like Excel proved inadequate for managing such complex planning processes.
To address these issues, Audi implemented IBM Planning Analytics in a two-phase strategy. The first phase established a unified, integrated planning platform, while the second phase introduced machine learning and optimisation to enhance efficiency. This solution aimed to standardise data structures, reduce redundancy, and link departmental processes to improve communication and decision-making.
Key outcomes included:
- A centralised planning system tailored to ten use cases (e.g. sales and financial planning).
- Improved efficiency and consistency in short- and long-term planning.
- Enhanced ability to manage complex analytics.
- Broader user adoption and improved user experience through the Planning Analytics Workspace.
Audi’s adoption of IBM Planning Analytics demonstrates how modern, adaptable planning tools can streamline operations, drive innovation, and support strategic goals. Their structured approach, clear objectives and tailored implementation serve as a valuable model for other organisations facing similar planning complexities.
