Predictive analysis of booking rates using Machine Learning
Louvre Hotels Group is a French hotel chain founded in 1976, now one of the leading players in the hotel industry in France and internationally, with brands covering different market segments: Campanile, Kyriad, Golden Tulip, Tulip Inn, Première Classe and more.
Revenue forecasts and booking management were previously handled through numerous Excel files passed between stakeholders.
Improving, anticipating and automating revenue forecasts
Louvre Hotels Group embarked on an initiative to improve, anticipate and automate booking rate and revenue forecasts across its hotels, leveraging Machine Learning capabilities.
This evolution delivered improvements in:
- Reliability and scalability
- Accessibility and access control
- Data loss reduction and synchronisation
- Data processing
Project outcomes
The project delivered:
- A functional, continuously learning Machine Learning tool providing high accuracy in short- and medium-term booking count and revenue predictions.
- A functional web dashboard with an intuitive interface for management teams, enabling visualisation of bookings and revenue forecasts to support informed decisions.
largest European budget hotel operator
hotels across 11 brands, 1 to 5 stars
rooms in 60 countries
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