Using Machine Learning to Optimize Hotel Services and Improve Profitability

Identify the optimal service mix for SME hotels using data-driven methods to boost revenue and profit.

Start & End Date

15/05/2023 - 14/04/2025

Main Applicant

Heo, C., EHL Hospitality Business School

External Funding

TravelBrain

ORIGINAL RESEARCH TITLE

Optimizing Hotel Service Offers with Machine Learning Techniques

Project Description

The project aims to enhance revenue and profitability for SME hotels by conducting data-driven research to identify the ideal combination of hotel service offerings. This research utilizes data from both internal and external sources to provide valuable insights and recommendations. The project's results will empower SME hoteliers to harness the power of data science, machine learning, and optimization techniques for descriptive, predictive, and prescriptive analysis.

Scientific Output

Heo, C., Luchi, P., Nobre Pereire, L., Viverit, L. & Contessi, D. (2024, November 4-7). Cracking the conversion rate: Machine learning insights for maximum performance. [Paper presentation]. EuroCHRIE, Doha, Qatar

Contessi, D., Viverit, L., Pereira, L. N., & Heo, C. Y. (2024). Decoding the Future: Proposing an Interpretable Machine Learning Model for Hotel Occupancy Forecasting Using Principal Component Analysis. International Journal of Hospitality Management, 121, 103802.