期刊名称：Annals of Dunărea de Jos University. Fascicle I : Economics and Applied Informatics
印刷版ISSN：1584-0409
出版年度：2019
期号：1
页码：132-136
出版社：Dunarea de Jos University of Galati
摘要：Machine learning algorithms increase the efficiency of revenue management systems. Realtime
data processing, customization, and automation are the key features that make it
possible to overcome the performance of old systems in determining the price and time for
a satisfactory offer and maximize revenue. Good practice is hiring external scientists to
build segmentation and forecasting features. Such solutions require the collection of user
information, which is hard to do without custom-built behavior and a market tracking
engine.
