Dynamic pricing of ancillaries using machine learning: one step closer to full offer optimization

Author:

Kummara MadhuSudan Rao,Guntreddy Bhaskara Rao,Vega Ines Garcia,Tai Yun Hsuan

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Economics and Econometrics,Finance,Business and International Management

Reference13 articles.

1. Bockelie, A., and P.P. Belobaba. 2018. Total revenue optimization with the ancillary marginal demand and ancillary marginal revenue transformation heuristics. In Presented at AGIFORS 58th Annual Symposium (Anna Valicek Paper Competition), Tokyo, Japan.

2. Fiig, T., R. Le. Guen, and M. Gauchet. 2018. Dynamic pricing of airline offers. Journal of Revenue an Pricing Management 17: 381–393.

3. Friedman, J.H. 1999. Greedy function approximation: a gradient boosting machine. In IMS 1999 Reitz lecture.

4. Friedman, J., and T. Hastie. 2000. Tibshirani R (2000) Additive logistic regression: a statistical view of boosting. The Annals of Statistics 28 (2): 337–407.

5. https://www.analyticsvidhya.com/blog/2019/08/11-important-model-evaluation-error-metrics/.

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