Shelf placement optimization for air products

Tomasz Szymanski () and Ross Darrow ()
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Tomasz Szymanski: ul. Spacerowa 23
Ross Darrow: 3917 Cedar Ridge Dr

A chapter in Artificial Intelligence and Machine Learning in the Travel Industry, 2023, pp 115-122 from Springer

Abstract: 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.

Keywords: Offer optimization; Airlines offer management; Bundles; Electronic retail; Shelf space product assortment; Constraint programming (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-25456-7_9

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DOI: 10.1007/978-3-031-25456-7_9

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