Operationalizing Dynamic Pricing Models [recurso electrónico] : Bayesian Demand Forecasting and Customer Choice Modeling for Low Cost Carriers / by Steffen Christ.
Tipo de material:
TextoEditor: Wiesbaden : Gabler, 2011Descripción: XXVII, 351p. 116 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783834961846Tema(s): Economics | Economics/Management Science | Operations Research/Decision TheoryFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 658.40301 Clasificación LoC:HD30.23Recursos en línea: Libro electrónico
En: Springer eBooksResumen: 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.
| Tipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
| Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | HD30.23 (Browse shelf(Abre debajo)) | 1 | No para préstamo | 377121-2001 |
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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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