The optimization of ticket sales strategy of airlines is a new direction and trend in the ticket sales in the new era. The expansion of ticket sales strategy optimization of airlines helps to promote the algorithm support of the aviation market and has a direct impact on the aviation industry. However, at present, the research on the optimization of air ticket sales strategy of airlines mainly focuses on the theoretical level, which lacks practical case application analysis and research methods, and ignores the important influence of algorithm support. In order to study the actual utility of airline ticket sales strategy optimization, this paper is based on algorithm support background, further extract the specific content of airline ticket sales strategy optimization and indicators, and the index standardization, thus targeted regression analysis, and clear algorithm support background the influence factors of airline ticket sales strategy optimization, targeted ticket sales strategy. The research results show that the algorithm support has a direct impact on the optimization of airline ticket sales strategy, and the establishment of a perfect and scientific airline ticket sales strategy optimization system is conducive to the optimization of the application of airline ticket sales strategy.


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    Titel :

    Airlines' Ticket Sales Strategy Optimization and Algorithm Support


    Beteiligte:
    Chen, Feilong (Autor:in)


    Erscheinungsdatum :

    13.06.2025


    Format / Umfang :

    592849 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch