feratel at the DSTNCMP²⁶ in Brixen

Predictive Analytics as a Management Tool for Destinations

"Predictive analytics turns data into an operational management tool—not just a reporting tool. For destination managers, this means that demand becomes predictable, capacity becomes manageable, and operational and strategic decisions can be made based on facts," says Bernhard Taurer. The head of Service Center and Product Management at feratel will contribute a keynote address to the session titled "Making Destinations Future-Ready."

Predictive analytics is fundamentally shifting the perspective in the tourism industry: away from retrospective reporting toward precise, day-by-day forecasting and operational control —even before demand becomes apparent. Modern forecasting models, such as the feratel Performance Monitor, use historical arrival and stay data, source markets, holiday calendars, availability data, and booking behavior to deliver valid predictions for arrival and overnight stay volumes. This data-driven intelligence creates a new foundation for decision-making—from capacity planning and market targeting to event management.

Daily Forecasts for Arrivals & Overnight Stays

With daily forecasts, destination managers gain a precise management tool that makes it possible to plan operational tasks. How many buses are needed on which day? When do the lift ticket offices need to be staffed? What traffic flows can be expected? By intelligently linking and analyzing various data sources , resources can be managed more efficiently and bottlenecks can be avoided.

Quantifying the Effect of Regional School Vacation Schedules

At the same time, the impact of regional vacation periods becomes measurable: Destinations can quantify the percentage change in the number of overnight stays when vacation periods vary—and schedule targeted marketing campaigns accordingly.

Measuring the Impact of Events on Demand Trends

The impact of events on seasonal trends also becomes apparent. Predictive analytics assesses which events drive demand and to what extent they boost business during the early or late season. This level of analytical depth supports both operational planning and strategic discussions regarding investments and product development.