Taha Falatouri

Taha Falatouri is a researcher affiliated with the University of Applied Sciences Steyr (FH Steyr), where he contributes to the Center of Excellence Logistics LOGISTIKUM. His academic work focuses on data-driven optimization in logistics and supply chain management, leveraging machine learning and large language models (LLMs) for predictive analytics and value network intelligence.

• Education: BSc and MSc in logistics and data analytics
• Key Collaborations: Projects with Brandtner, Darbanian, and Nasseri

His research spans predictive resource allocation, text mining for service quality assessment, and integrating deep learning into retail supply chains. Recent publications explore holiday promotion effects, LLM applications for user-generated content analysis, and XGBoost-based optimization frameworks.

Current projects include:

• LOG-JRC PREVAIL (2023-2027): Predictive Value Network Intelligence
• NEXT (2021-2022): Pattern Recognition in Extended Value Networks
• 2019-2022: Resource allocation and demand forecasting