Journal article

Assortment Optimisation Under a General Discrete Choice Model: A Tight Analysis of Revenue-Ordered Assortments

G Berbeglia, G Joret

Algorithmica: an international journal in computer science | Springer (part of Springer Nature) | Published : 2020

Abstract

The assortment problem in revenue management is the problem of deciding which subset of products to offer to consumers in order to maximise revenue. A simple and natural strategy is to select the best assortment out of all those that are constructed by fixing a threshold revenue π and then choosing all products with revenue at least π. This is known as the revenue-ordered assortments strategy. In this paper we study the approximation guarantees provided by revenue-ordered assortments when customers are rational in the following sense: the probability of selecting a specific product from the set being offered cannot increase if the set is enlarged. This rationality assumption, known as regula..

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University of Melbourne Researchers

Grants

Awarded by Australian Research Council


Funding Acknowledgements

G. Joret was supported by a DECRA Fellowship from the Australian Research Council during part of the project. Extended abstract based on this work to appear in the proceedings of the eighteenth ACM conference on Economics and Computation (ACM EC'17).