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Machine Learning in Tourism Revenue Management

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  • Maria-Cristina ENACHE

    (Dunarea de Jos University of Galati, Romania)

Abstract

Machine learning algorithms increase the efficiency of revenue management systems. Real-time 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.

Suggested Citation

  • Maria-Cristina ENACHE, 2019. "Machine Learning in Tourism Revenue Management," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 132-136.
    • Handle: RePEc:ddj:fseeai:y:2019:i:1:p:132-136
    DOI: https://doi.org/10.35219/eai1584040915
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    Keywords

    Business; IT; Models;
    All these keywords.

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