The need for automated data-driven revenue management is everywhere and becomes increasingly important. We are particularly interested in the optimal control of stochastic dynamic systems of real-world applications. In this context, potential topics for master theses are the following:
- Demand forecast and price optimization based on real-world ReCommerce data
- Dynamic pricing under risk aversion
- Pricing competition using Reinforcement Learning (cooperative or competitive)
- Inventory management
Contact: Dr. Rainer Schlosser
