Congratulations to Andrey Vasilyev for obtaining his PhD!
In November 2023, Andrey Vasilyev obtained his PhD under the supervision of Prof. Ralf Seifert, director of the Chair of Technology & Operations Management (TOM) with his thesis entitled "Quantitative Methods for Omnichannel Decision-Making".
Abstract
Omnichannel retail has emerged as the new standard in today’s commerce landscape, with retailers integrating their physical and online channels to enhance the customer shopping experience. However, such integration presents significant challenges for retailers, particularly in relation to optimizing their product assortments. This thesis comprises three chapters that focus on different aspects of omnichannel assortment optimization. In the first chapter, we introduce the multichannel attraction model (MAM), upon which we build a modeling framework aimed at addressing the complexities of omnichannel assortment optimization. In the second chapter, we extend the framework developed in the first chapter in multiple key directions. Notably, we incorporate demand stochasticity and inventory management considerations into the assortment optimization problem under the MAM. In the third chapter, we utilize the Ising model to address omnichannel assortment optimization while taking into account the basket shopping behavior of customers. Collectively, these three chapters offer a comprehensive study of assortment optimization in omnichannel environments.