Operationalizing Dynamic Pricing Models
Bayesian Demand Forecasting and Customer Choice Modeling for Low Cost Carriers
Samenvatting
Steffen Christ shows how theoretic optimization models can be operationalized by employing self-learning strategies to construct relevant input variables, such as latent demand and customer price sensitivity.