The course explores in depth the strategic use of revenue management tools and dynamic rates to optimise pricing policy and maximise revenue. Through a data-driven approach, participants will learn how to apply pricing algorithms, forecasting techniques and big data analysis to make more effective pricing decisions. The training course also includes the analysis of key revenue KPIs, such as ADR (Average Daily Rate), RevPAR (Revenue per Available Room) and Occupancy Rate, to assess performance and improve the overall profitability of the property.
The objective of the module is to provide hoteliers with advanced skills to manage prices dynamically, anticipate demand and optimise revenue in real time through the use of digital tools and predictive analytics.
Instructor profile
The instructors of this course are experienced technology professionals, active in consulting
for hoteliers and in developing software and integrated suites for the hospitality industry. The team
includes consultants with expertise in digitalisation for hospitality, with solid experience
in supporting accommodation facilities in adopting digital technologies to optimise operations and
revenue, and specialists in developing software and technology platforms for hospitality,
with in-depth knowledge in creating and integrating systems such as PMS, RMS and
CRM, able to explain their functionalities and practical benefits. Their expertise ensures a
concrete training approach oriented towards the practical application of technologies in the sector.
New edition planned for 2026. Registrations closed
Intermediate level
Minimum number of participants: 10
