flyr

If your organization is currently using a legacy RMS system, it may not be able to handle the increasing complexity of today’s revenue management challenges

The key to being successful in revenue management is following data trends closely to set the right price for the right guest, AI is perfectly suited to support this hotel function

Those CompSets themselves are being driven by irrelevant factors like employee emotions and outdated RM systems that are not fit for purpose

Hybrids face unique challenges that include complexity of different inventory types in the same building but they also have particularly demanding customers

There’s a new opportunity opening up in travel that will change the balance of power in hospitality over the next decade

Scratch beneath the surface of open pricing and it’s flawed. It relies on the operator and rules set. It’s time for a big leap into the future of pricing

With our new portfolio level dashboard we want to help our customers understand how they are performing across their properties

Uncertainty is real! We don’t know the forecast perfectly nor demand function. A modern RMS works 24/7 to adjust to uncertainty and to quickly adapt pricing

Forecasting uncertainty is important for pricing and it’s important for the cost-benefit analysis that an RMS needs to make on behalf of the clients

It makes sense to let algorithms do much of the price change and a half decent RMS should deliver. But the question is – by how much will my RevPAR go up?