Enhancing hotel profitability: Dynamic pricing with a Sim-Learnheuristic approach
In recent decades, online travel agencies have emerged as the leading channel for hotel bookings, promoting dynamic pricing and real-time data analysis to stay competitive. Accordingly, we propose a dynamic pricing system based on a sim-learnheuristic model, which combines heuristic and machine lear...
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| Published in: | International journal of hospitality management Vol. 133; p. 104472 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
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01.02.2026
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| ISSN: | 0278-4319 |
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| Abstract | In recent decades, online travel agencies have emerged as the leading channel for hotel bookings, promoting dynamic pricing and real-time data analysis to stay competitive. Accordingly, we propose a dynamic pricing system based on a sim-learnheuristic model, which combines heuristic and machine learning to provide the most appropriate daily room prices. Additionally, deterministic and sim-heuristic models were implemented to benchmark our proposal. The models were tested using simulations based on real data. The results indicate that the sim-learnheuristic learns from past data and react to future outcomes, thus supporting effective hotel price management under dynamic conditions.
•Hotel profit maximization under dynamic market conditions.•Dynamic pricing approach combining heuristics and machine learning: a sim-learnheuristic model.•Hotel pricing system capable of handling dynamic market conditions in near real-time.•Adaptive hotel demand simulator based on real hotel data. |
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| AbstractList | In recent decades, online travel agencies have emerged as the leading channel for hotel bookings, promoting dynamic pricing and real-time data analysis to stay competitive. Accordingly, we propose a dynamic pricing system based on a sim-learnheuristic model, which combines heuristic and machine learning to provide the most appropriate daily room prices. Additionally, deterministic and sim-heuristic models were implemented to benchmark our proposal. The models were tested using simulations based on real data. The results indicate that the sim-learnheuristic learns from past data and react to future outcomes, thus supporting effective hotel price management under dynamic conditions.
•Hotel profit maximization under dynamic market conditions.•Dynamic pricing approach combining heuristics and machine learning: a sim-learnheuristic model.•Hotel pricing system capable of handling dynamic market conditions in near real-time.•Adaptive hotel demand simulator based on real hotel data. |
| ArticleNumber | 104472 |
| Author | Gomez, Juan F. C-Sánchez, Eleazar |
| Author_xml | – sequence: 1 givenname: Eleazar orcidid: 0000-0002-2471-3457 surname: C-Sánchez fullname: C-Sánchez, Eleazar email: eleazar.caballero@pdi.atlanticomedio.es organization: Faculty of Social and Legal Sciences, Atlántico Medio University, Las Palmas de Gran Canaria 35017, Spain – sequence: 2 givenname: Juan F. orcidid: 0000-0001-7692-9922 surname: Gomez fullname: Gomez, Juan F. email: jfgomgon@upv.edu.es organization: Research Center on Production Management and Engineering, Universitat, Politècnica de València, Alcoy 03801, Spain |
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| Cites_doi | 10.3390/math9131552 10.1016/j.ijhm.2009.09.001 10.1111/j.1540-5915.1999.tb01608.x 10.1016/j.eij.2011.08.001 10.1177/1354816618777590 10.1016/j.ijhm.2018.10.007 10.1287/inte.1120.0660 10.1016/j.ejor.2018.05.027 10.1016/j.ijhm.2015.09.010 10.1016/j.jbusres.2022.03.017 10.1108/IJCHM-07-2017-0461 10.1057/rpm.2012.44 10.1177/001088040304400305 10.1016/j.ijhm.2013.07.001 10.1109/ACCESS.2021.3087577 10.1016/j.cie.2017.06.019 10.1016/j.ijhm.2011.06.003 10.1177/1356766719867377 10.1016/j.tourman.2016.02.006 10.1016/j.dib.2018.11.126 10.1057/palgrave.rpm.5170025 10.1016/j.cor.2003.09.012 10.1080/17477778.2023.2166879 10.1016/j.tourman.2021.104308 10.1016/j.tourman.2019.03.013 10.3390/math12060909 10.3102/1076998619832248 10.1007/s10472-019-09651-9 10.3934/math.20241180 10.1177/001088049503600620 |
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| Keywords | Dynamic pricing Hotel pricing system Stochastic combinatorial optimization problems Simlearnheuristics Machine learning |
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| Title | Enhancing hotel profitability: Dynamic pricing with a Sim-Learnheuristic approach |
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