The company's digitization efforts were initially hampered by system complexity and data volume, but with the help of SAP, they were able to develop a data strategy roadmap. The proportion of SAP Business AI in Kaeser's data project rose from less than 10% in the first year to over 30% in the third. Today, the team is 100% focused on SAP Business AI and has developed 12 specific use cases targeted at adding value for customers. Kaeser has also developed a prototype application with the NVIDIA Omniverse platform for visualizing the intelligent product recommendation process.
Key takeaways:
- Kaeser Kompressoren has integrated artificial intelligence (AI) into its data strategy, resulting in significant improvements in data quality and business process optimization.
- The company has developed AI use cases such as Predicting Inactive Suppliers and Visual Spare Parts Search, which have automated data maintenance tasks and improved service efficiency.
- The SAP Intelligent Product Recommendation application, an AI use case, helps sales employees analyze customer requirements and provide accurate product recommendations.
- Successful implementation of AI technologies requires not just technical expertise, but also employee training, ethical considerations, and management buy-in.