Dynamic Pricing Optimization for Global Hospitality: Real-Time Data Integration and Decision Making
Keywords:
dynamic pricing, real-time data, machine learning, big data analyticsAbstract
Global hospitality industry dynamic pricing is a complex optimization problem that makes it compulsory to integrate real-time data, machine learning models, and multi-source analytics which will increase pricing accuracy and reduce latency. The purpose of this study is to explore the role of big data analytics in refining data price strategies and utilising high frequency data stream from different sources such as market demand fluctuations, competitor pricing, seasonality, and macroeconomic indicators.
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