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Shelf placement optimization for air products

In: Artificial Intelligence and Machine Learning in the Travel Industry

Author

Listed:
  • Tomasz Szymanski

    (ul. Spacerowa 23)

  • Ross Darrow

    (3917 Cedar Ridge Dr
    Sabre Research)

Abstract

Airlines are increasingly trying to differentiate their offers, so one airline’s bare bones low fare may, for some travelers, be equivalent to another airline’s high fare, if the low fare bundles some ancillaries a traveler wants. Because of differentiation of airline offers the air traveler must simultaneously compare air fares and the ancillaries included. Price comparison is also difficult as the same cabin offers vary by the ancillaries included across the competing airlines. We are proposing a shelf product assortment method for categorizing airline offers into utility levels, thus facilitating the choice task of air travelers. We describe possible known approaches, describe Sabre’s proposal, provide information on the optimization methods used, and propose future work in the field.

Suggested Citation

  • Tomasz Szymanski & Ross Darrow, 2023. "Shelf placement optimization for air products," Springer Books, in: Ben Vinod (ed.), Artificial Intelligence and Machine Learning in the Travel Industry, pages 115-122, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-25456-7_9
    DOI: 10.1007/978-3-031-25456-7_9
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