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Revenue Management of Callable Products

Author

Listed:
  • Guillermo Gallego

    (Department of Industrial Engineering and Operations Research, Columbia University, New York, New York 10027)

  • S. G. Kou

    (Department of Industrial Engineering and Operations Research, Columbia University, New York, New York 10027)

  • Robert Phillips

    (Nomis Solutions, Inc., San Bruno, California 94066)

Abstract

A callable product is a unit of capacity sold to self-selected low-fare customers who willingly grant the capacity provider the option to "call" the capacity at a prespecified recall price. We analyze callable products in a finite-capacity setting with two fare classes where low-fare customers book first, and show that callable products provide a riskless source of additional revenue to the capacity provider. An optimal recall price and an optimal discount-fare booking limit for the two-period problem are obtained. Numerical examples show the benefits from offering callable products can be significant, especially when high-fare demand uncertainty is large. Extensions to multifare structures, network models, overbooking, and to other industries are discussed.

Suggested Citation

  • Guillermo Gallego & S. G. Kou & Robert Phillips, 2008. "Revenue Management of Callable Products," Management Science, INFORMS, vol. 54(3), pages 550-564, March.
  • Handle: RePEc:inm:ormnsc:v:54:y:2008:i:3:p:550-564
    DOI: 10.1287/mnsc.1070.0782
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    References listed on IDEAS

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    6. Adam J. Mersereau & Dan Zhang, 2012. "Markdown Pricing with Unknown Fraction of Strategic Customers," Manufacturing & Service Operations Management, INFORMS, vol. 14(3), pages 355-370, July.
    7. Guillermo Gallego & Haengju Lee, 2020. "Callable products with dependent demands," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(3), pages 185-200, April.
    8. He, Wen, 2019. "Impact of capacity flexibility on the use of booking limits," European Journal of Operational Research, Elsevier, vol. 274(1), pages 199-213.
    9. Yuqi Peng & Mark Ferguson & Övünç Yılmaz, 2023. "Airline revenue management around sporting mega-events: an application using data from the Super Bowl XLIX," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(3), pages 188-200, June.
    10. Nurşen Aydın & Ş. İlker Birbil & Hüseyin Topaloğlu, 2017. "Delayed Purchase Options in Single-Leg Revenue Management," Transportation Science, INFORMS, vol. 51(4), pages 1031-1045, November.
    11. Scott Fay & Jinhong Xie, 2015. "Timing of Product Allocation: Using Probabilistic Selling to Enhance Inventory Management," Management Science, INFORMS, vol. 61(2), pages 474-484, February.
    12. Wei Shi Lim, 2009. "Overselling in a Competitive Environment: Boon or Bane?," Marketing Science, INFORMS, vol. 28(6), pages 1129-1143, 11-12.
    13. Moongil Yoon & Habin Lee, 2021. "Seat assignment problem with the payable up-grade as an ancillary service of airlines," Annals of Operations Research, Springer, vol. 307(1), pages 483-497, December.
    14. Victor F. Araman & Ioana Popescu, 2010. "Media Revenue Management with Audience Uncertainty: Balancing Upfront and Spot Market Sales," Manufacturing & Service Operations Management, INFORMS, vol. 12(2), pages 190-212, December.
    15. Jeffrey C. Ely & Daniel F. Garrett & Toomas Hinnosaar, 2017. "Overbooking," Journal of the European Economic Association, European Economic Association, vol. 15(6), pages 1258-1301.
    16. Mika Sumida & Huseyin Topaloglu, 2019. "An Approximation Algorithm for Capacity Allocation Over a Single Flight Leg with Fare-Locking," INFORMS Journal on Computing, INFORMS, vol. 31(1), pages 83-99, February.
    17. Qing Li & Christopher S. Tang & He Xu, 2020. "Mitigating the Double‐Blind Effect in Opaque Selling: Inventory and Information," Production and Operations Management, Production and Operations Management Society, vol. 29(1), pages 35-54, January.
    18. Chiou, Yu-Chiun & Liu, Chia-Hsin, 2016. "Advance purchase behaviors of air passengers: A continuous logit model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 474-484.
    19. Georgiadis, George & Tang, Christopher S., 2014. "Optimal reservation policies and market segmentation," International Journal of Production Economics, Elsevier, vol. 154(C), pages 81-99.
    20. Alex Gershkov & Benny Moldovanu & Philipp Strack, 2018. "Revenue-Maximizing Mechanisms with Strategic Customers and Unknown, Markovian Demand," Management Science, INFORMS, vol. 64(5), pages 2031-2046, May.

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