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)

Publisher: Wiesbaden : Gabler, 2011Description: XXVII, 351 p. 116 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783834961846

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No titleDDC classification:

658.8 23

LOC classification:

HF5410-5417.5

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.

Item type:

eBooks

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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.

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