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How recommender systems can transform airline offer construction and retailing

In: Artificial Intelligence and Machine Learning in the Travel Industry

Author

Listed:
  • Amine Dadoun

    (Eurecom, Sophia Antipolis
    Amadeus, Sophia Antipolis)

  • Michael Defoin-Plate

    (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-Plate & Thomas Fiig & Corinne Landra & Raphaël Troncy, 2023. "How recommender systems can transform airline offer construction and retailing," Springer Books, in: Ben Vinod (ed.), Artificial Intelligence and Machine Learning in the Travel Industry, pages 93-107, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-25456-7_7
    DOI: 10.1007/978-3-031-25456-7_7
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