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Artificial Intelligence in travel

Author

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  • B. Vinod

    (Charter and Go)

Abstract

Over the past four decades Operations Research (OR) has played a key role in solving complex problems in airline planning and operations. Over the past decade Artificial Intelligence (AI) has seen a rapid growth in adoption across a range of industry verticals such as automotive, telecommunications, aerospace, and health care. It has been acknowledged that while adoption of AI in the travel industry has been slow, the potential incremental value is high. This paper discusses the role of AI and a range of applications in travel to support revenue growth and customer satisfaction.

Suggested Citation

  • B. Vinod, 2021. "Artificial Intelligence in travel," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(3), pages 368-375, June.
    • Handle: RePEc:pal:jorapm:v:20:y:2021:i:3:d:10.1057_s41272-021-00319-w
    DOI: 10.1057/s41272-021-00319-w
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    References listed on IDEAS

    as
    1. Aditya Kothari & Manini Madireddy & Ramasubramanian Sundararajan, 2016. "Discovering patterns in traveler behaviour using segmentation," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(5), pages 334-351, October.
    2. Ben Vinod & Richard Ratliff & Vikram Jayaram, 2018. "An approach to offer management: maximizing sales with fare products and ancillaries," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(2), pages 91-101, April.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Daniel Schubert & Christa Sys & Rosário Macário, 2022. "Customized airline offer management: a conceptual architecture," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(5), pages 553-563, October.
    2. Alberto Guerrini & Gabriele Ferri & Stefano Rocchi & Marcelo Cirelli & Vicente Piña & Antoine Grieszmann, 2023. "Personalization @ scale in airlines: combining the power of rich customer data, experiential learning, and revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(2), pages 171-180, April.

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