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How recommender systems can transform airline offer construction and retailing

Author

Listed:
  • Amine Dadoun

    (Eurecom, Sophia Antipolis
    Amadeus, Sophia Antipolis)

  • Michael Defoin-Platel

    (Amadeus, Sophia Antipolis)

  • Thomas Fiig

    (Amadeus)

  • Corinne Landra

    (Amadeus, Sophia Antipolis)

  • Raphaël Troncy

    (Eurecom, Sophia Antipolis)

Abstract

Recommender systems have already been introduced in several industries such as retailing and entertainment, with great success. However, their application in the airline industry remains in its infancy. We discuss why this has been the case and why this situation is about to change in light of IATA’s New Distribution Capability standard. We argue that recommender systems, as a component of the Offer Management System, hold the key to providing customer centricity with their ability to understand and respond to the needs of the customers through all touchpoints during the traveler journey. We present six recommender system use cases that cover the entire traveler journey and we discuss the particular mind-set and needs of the customer for each of these use cases. Recent advancements in Artificial Intelligence have enabled the development of a new generation of recommender systems to provide more accurate, contextualized and personalized offers to customers. This paper contains a systematic review of the different families of recommender system algorithms and discusses how the use cases can be implemented in practice by matching them with a recommender system algorithm.

Suggested Citation

  • Amine Dadoun & Michael Defoin-Platel & Thomas Fiig & Corinne Landra & Raphaël Troncy, 2021. "How recommender systems can transform airline offer construction and retailing," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(3), pages 301-315, June.
    • Handle: RePEc:pal:jorapm:v:20:y:2021:i:3:d:10.1057_s41272-021-00313-2
    DOI: 10.1057/s41272-021-00313-2
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    References listed on IDEAS

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    1. Thomas Fiig & Remy Guen & Mathilde Gauchet, 2018. "Dynamic pricing of airline offers," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(6), pages 381-393, December.
    2. Chong Ju Choi & Carla C. J. M. Millar & Caroline Y. L. Wong, 2005. "Knowledge and the State," Palgrave Macmillan Books, in: Knowledge Entanglements, chapter 0, pages 19-38, Palgrave Macmillan.
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    Cited by:

    1. Ku, Edward C.S., 2022. "Developing business process agility: Evidence from inter-organizational information systems of airlines and travel agencies," Journal of Air Transport Management, Elsevier, vol. 103(C).
    2. Kevin K. Wang & Michael D. Wittman & Thomas Fiig, 2023. "Dynamic offer creation for airline ancillaries using a Markov chain choice model," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(2), pages 103-121, April.
    3. 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.

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