We're excited to welcome Kühne+Nagel, Bosch, Merck, and thyssenkrupp in the final round!

Kuehne+Nagel: GenAI for Business Partner Master Data 
Kuehne+Nagel has developed several GenAI use cases to reshape the management of business partner master data, transforming historically manual, time-intensive processes into automated, scalable solutions with high quality. 
 
Their solution employs large language models as follows: duplicate reviews to enable monitoring and automated cleanups; matching of the records with an external database, as a basis for data enrichment; and grouping of business partner records into global accounts. 

 Their initiative achieved substantial data quality improvements at scale. The enhanced quality creates cascading benefits such as improved operational efficiency, superior shipment visibility, accurate reporting and analytics, and reduced compliance risks. The automated approach dramatically reduces implementation cost and shortens timelines from years to weeks while maintaining superior standards. 

Bosch: Next Generation Intelligent Tool Suite for Master Data 
Bosch is leveraging a unified “Next Generation Intelligent Tools Suite,” powered by Generative AI and Large Language Models, to solve critical master data challenges at an enterprise scale. The company's strategy focuses on operationalizing AI to deliver measurable gains in efficiency, scalability, and innovation.  
 
Therefore, Bosch presents four use cases as proof:  

• streamlining millions of records for our SAP S/4HANA migration, 
• optimizing procurement by ensuring Bill of Material compliance,  
• unlocking siloed information with our “MD Explorer” chatbot, and  
• accelerating product launches by automating the interpretation of technical drawings.  

These initiatives demonstrate a powerful, repeatable framework for enhancing data quality and driving significant business value.

Merck: Data Central: delivering on the promise to bring transparency to Merck’s data landscape
In the realm of data, the lack of transparency often leads to inefficiencies and missed opportunities. Recognizing this challenge, Merck Group launched the “Merck Data Language” initiative, followed by the rollout of “UPTIMIZE Data Central.” 

Now, one year later, their Data Catalog and Marketplace shine a light on over 1,000 Data Products, automatically integrating metadata from eight sources to foster clarity across Merck’s data landscape. With around 200 Data Stewards trained in virtual classrooms, the company is empowering them to curate this vital resource. Satisfaction surveys indicate a promising reception, underscoring Merck's progress in building a data-driven culture.

Thyssen Krupp: Driving Net Working Capital Excellence through Scalable Data Products 
At thyssenkrupp Steel, cash optimization became essential for securing liquidity for decarbonization investments. The company developed over 150 source-aligned and 40 target-aligned data products, harmonizing 70TB of finance and operations data from 30+ systems.  
Automated quality checks ensure compliance, while predictive analytics enhance Net Working Capital (NWC) management.  

The impact is significant: NWC dashboards have delivered a Cash Return on Invested Capital (CROIC) exceeding 700% for FY 2024, transforming finance data into a liquidity lever. Implementation time has decreased, and adoption spans 10+ departments, creating exponential value while keeping costs linear.  

This approach highlights the convergence of data excellence, business value, and innovation, optimizing working capital and supporting Europe’s green steel transformation.