Anomaly Detection
Find, evaluate and leverage anomalies. In advance. Make the right pricing decisions, with the power of AI and machine learning.
Detect anomalies at a glance
For hoteliers and revenue management teams, anomalies are of crucial importance. Market changes must therefore be permanently monitored: Price, demand, occupancy and so on.
In concrete terms, that meant a lot of work. And still a lot of risk.
That's over.

See market anomalies ...
... and make the right price decisions.
Anomaly Heatmap
See and rank all market anomalies for the next 365 days at a glance with the heatmap widget.
Anomaly Feed
Analyze all anomalies in depth, sort by Prio, Leadtime or 'newly added' and filter by category.
6 anomalies at a glance
Demand changes, 'following' competitors, rate changes, LOS changes, occupancy gaps, and pickup OTB – more to come!
In the hotel industry, and in revenue management, anomalies - formally speaking - simply mean a deviation from the trend, an incalculability. And therefore a risk.
The conclusion: If you make anomalies calculable, they lose their risk - i.e. their horror.
For hoteliers and revenue management teams, anomalies are of crucial importance. Market changes must therefore be constantly monitored: Price, demand, occupancy and so on.
This makes a lot of work - but does not reduce the entrepreneurial risk!
Because revenue managers have to dive deep into analysis to find days with unusual market/booking behavior. But they often overlook these days, especially if they are far in the future.
The HQ revenue anomaly widgets now put an end to this.
Anomaly Detection

Use the data that is already there!
At HQ revenue, we've given this some thought and can now proudly present an assistance system that relies on the best market data available - ours. Here's how it works.

Knowing market anomalies in advance
Two new widgets in HQ revenue see market anomalies a year ahead. They alert revenue management teams and hoteliers to these and provide recommendations for action. Because market turbulence happens all the time. If you don't keep an eye on them, you can pay an expensive price.

Forecasting in Post-Pandemic Times
The pandemic has rendered previous trends and patterns obsolete in a way that traditional predictive algorithms are no longer suitable for. As a result, the industry must look to business intelligence for new approaches to address the challenges associated with the pandemic. What alternatives are available?

