Master Thesis - Building Knowledge Graphs and Creating Queryable Data Warehouses Through LLM Methodology for Supply Chain Intelligence

This Master Thesis opportunity involves developing a structured knowledge graph to capture supply chain domain expertise and enable natural language querying of a complex data warehouse. The role focuses on leveraging LLM methodology to transform unstructured expert knowledge into a queryable format, aiming to improve data accessibility for business stakeholders. Students will work collaboratively to address challenges in data engineering and AI-driven data access within a global supply chain context.