Operationalizing Dynamic Pricing Models
Bayesian Demand Forecasting and Customer Choice Modeling for Low Cost Carriers
Von:Steffen Christ
| 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. |
Inhalt
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.
Bibliografische Angaben
April 2011, 351 Seiten, Englisch
GABLER
9783834961846