pacemaker.ai by thyssenkrupp

Supply Chain

• Independently conduct rigorous academic research on the application of AI in the supply chain, with a focus on demand forecasting, commodity price forecasting, replenishment and related topics.
• Design, methodologically develop and practically validate your results (e.g. using real or provided datasets).
• Analyze and assess models, methods or use cases with respect to their practical applicability.
• Collaborate closely with our team and gain insight into ongoing client projects to contextualize your work in practice.
• Work on a topic of your choice agreed upon with us that has both a scientific and practical connection to our projects.
• We will support you with data, expertise and, if necessary, a small budget to help you successfully execute your research.

Master's thesis student, AI and Supply Chain