Revenue Management

Optimizing Hotel Service Offers with Machine Learning Techniques

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

Main Applicant:

Heo, C., EHL Hospitality Business School


Start and End Date:

15/05/2023 → 14/04/2025

External Funding:


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.

EHL Researcher Profiles