A good demand forecast should be at the heart of every Revenue Management model. Yet most demand models do not incorporate customer choice behavior under offered alternatives. We are using the ideas of customer choice sets to model the customer's buying behavior. The demand estimation method, as...

We present a strategy to forecast and assess customer behavior in the field of e-commerce. Starting point is the assignment of all actors in a market to an exhaustive set of potentially accessible users. Usually, only a small part of this set belongs to real customers in the context of...

Many forecasting methods perform poorly in the case of intermittent demand patterns and high variances in the demand quantity. Strong fluctuations within the time series and a large proportion of zero observations complicate the extraction of trend and seasonality. This research investigates how...

This study aims to investigate the role of a recommendation system (RS) in personalizing the guest journey in the hospitality industry and its impact on decision making, particularly the exposure effect. The study has two main objectives: (a) to quantify the additional value of using a RS based...

Many forecasting methods perform poorly when dealing with intermittent demand patterns and large variations in demand quantity. The presence of significant fluctuations within the time series, coupled with a substantial proportion of zero observations, complicates the extraction of trend and...