Can artificial intelligence help hotels identify potential cancellations at an early stage and improve room occupancy planning? This question formed the basis of Tomke Dieckhoff's bachelor’s thesis in the Business Informatics programme. Working with real hotel booking data, he compared different machine learning approaches and developed a model capable of identifying cancellation risks with a high degree of reliability.
Tomke’s research demonstrates how contemporary AI methods can be applied to practical business challenges. It also reflects the dual-study approach at HSBA: students do not simply acquire academic knowledge but apply modern technologies to address real-world problems faced by companies. We spoke with Tomke about machine learning, practical impact, and the friendships that shaped his time at HSBA.
