Operationalizing Dynamic Pricing Models [electronic resource] : Bayesian Demand Forecasting and Customer Choice Modeling for Low Cost Carriers / by Steffen Christ.
By: Christ, Steffen [author.].
Contributor(s): SpringerLink (Online service).
Material type:
BookPublisher: Wiesbaden : Gabler, 2011Description: XXVII, 351p. 116 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783834961846.Subject(s): Economics | Economics/Management Science | Operations Research/Decision TheoryDDC classification: 658.40301 Online resources: Click here to access online
In:
Springer eBooksSummary: 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.
No physical items for this record
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.
There are no comments for this item.