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Operationalizing dynamic pricing models : bayesian demand forecasting and customer choice modeling for low cost carriers

Author: Steffen Christ
Publisher: Wiesbaden : Gabler Verlag, ©2011.
Dissertation: Diss.--University of Augsburg, 2009.
Series: Gabler research.
Edition/Format:   Thesis/dissertation : Document : Thesis/dissertation : eBook   Computer File : EnglishView all editions and formats
Summary:
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,  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Thesis/dissertation, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Steffen Christ
ISBN: 9783834961846 3834961841 9783834927491 383492749X
OCLC Number: 728101756
Description: 1 online resource (xxvi, 351 pages).
Contents: pt. 1. Dynamic pricing in the airline industry --
pt. 2. Forecasting latent demand --
pt. 3. Estimating price sensitivity.
Series Title: Gabler research.
Responsibility: Steffen Christ ; with a foreword by Robert Klein.

Abstract:

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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