The Chair of Analytics & Optimization conducts research, which deals with decision problems arising in the areas of pricing and revenue management as well as digital logistics and mobility and can be solved using operations research.
Our goal is to build simple, practical, and realistic models, which allow getting model input directly from the data. By designing computationally efficient methods, which are both, easy and scalable, we strive to generate interesting insights and bring significant value to practice.