AI Manager in Procurement

Course overview

Module 1: -Artificial Intelligence in Procurement as a transformative technology -Development and key terms (AI, machine learning, deep learning) -Practical examples, applications, and limitations of AI in procurement -Generative AI: Current developments and changes in the AI landscape Module 2: -Machine learning and neural networks in procurement -Difference between machine learning and traditional software -Principles of machine learning, deep learning, and neural networks -Current research status and AI application examples in procurement Module 3: -Innovation potential of AI in procurement and materials management -The role of the AI manager in procurement: Supporting and implementing AI projects with practical examples from procurement, logistics, and materials management -Presentation of concrete AI applications and case studies to identify innovation and efficiency potentials -Ethical and legal frameworks -The EU AI Act and its significance for companies and procurement Module 4: -Generative AI in procurement and materials management -Application possibilities of generative AI in procurement and logistics processes -Generative AI tools -Language models: Designing and implementing concrete AI projects for procurement and logistics Module 5: -Planning the systematic introduction of AI in procurement -Developing an AI strategy for procurement -Analysis of typical obstacles in AI implementation -Developing strategies for successful implementation -Identifying suitable AI application areas in procurement -Evaluating benefits and resource requirements -Systematic implementation of AI projects Module 6: -Finding, evaluating, and prioritizing AI use cases in procurement -Identifying suitable AI use cases in procurement and logistics -Documentation and evaluation of use cases -Prioritization based on complexity and strategic importance Module 7: -Implementation and operation of AI applications in procurement -Developing own AI applications: Presentation of development phases and best practice examples -Implementation and operation: Integration into existing systems, data preparation, data protection, and security -AI project management: Methods for effective control, monitoring, and procurement in AI projects

Upcoming dates

• 2026-09-28T22:00:00.000Z · 2027-03-08T23:00:00.000Z · Online-Seminar
• 2026-11-04T23:00:00.000Z · 2027-04-21T22:00:00.000Z · Online-Seminar