Master Thesis – Strategic Approach for Agentic AI Adoption in Sourcing
Core
Develop a strategic approach and feasibility report for adopting Agentic AI in global sourcing workflows to identify, prioritize, and design next-generation autonomous agents.
Role type
Master Thesis Researcher (Agentic AI & Supply Chain Strategy)
Builds
Strategic feasibility reports, prioritized use-case lists, and conceptual 'Mixture-of-Agents' design frameworks.
Domain
Supply Chain Management / Sourcing / Artificial Intelligence (Agentic AI)
Deliverable
research
Required skills
LLMs and Agentic Frameworks, Business Process Mapping (BPMN), Stakeholder Interviewing, Analytical Thinking, Documentation, Use-Case Prioritization
Preferred skills
Supply Chain/Sourcing domain knowledge, Prompt Engineering, Experience with AI Agent Frameworks
