Operationalizing Dynamic Pricing Models
Bayesian Demand Forecasting and Customer Choice Modeling for Low Cost Carriers
| Dynamic Pricing of services has become the norm for many young service industries – especially in today’s volatile markets. 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. He proves that the development of the necessary forecasting models is indeed possible, i.e., through the usage of real-time data of online sales channels. |
Contenu
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.
Informations bibliographiques
avril 2011, 351 Pages, Anglais
GABLER
9783834961846