Operationalizing Dynamic Pricing Models
Bayesian Demand Forecasting and Customer Choice Modeling for Low Cost Carriers
Buch in deiner Nähe kaufen
Beschreibung
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.
Includes supplementary material: sn.pub/extras
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.
Autor*in
Steffen Christ
Themen in »Operationalizing Dynamic Pricing Models«
Airlines Fare Optimization Marketing Pricing Revenue Management