Dynamic assortment optimization based on customers’ behavior using transaction data

Yousef Maknoon, Shadi Sharif Azadeh, Michel Bierlaire

Research output: Contribution to conferenceAbstractScientific

Abstract

In this paper, we aim at investigating the impact of demand modelling on revenue performance for a shared mobility system. We consider the case where the information associated to the systematic part of the utility function is not available. We use dynamic assortment optimization to estimate utilities. We compare this assumption with the case where the choice probabilities are assumed to be static and homogenously estimated. The results indicate that this additional information helps to improve the service level as well as the revenue performance.
Original languageEnglish
Number of pages1
Publication statusPublished - 2018
EventIATBR 2018: 15th International Conference on Travel Behaviour Research - Santa Barbara, United States
Duration: 15 Jul 201820 Jul 2018
Conference number: 15
http://www.iatbr2018.org/

Conference

ConferenceIATBR 2018: 15th International Conference on Travel Behaviour Research
Abbreviated titleIATBR 2018
CountryUnited States
CitySanta Barbara
Period15/07/1820/07/18
Internet address

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