pricing

In the ever-evolving hotel industry, strategically benchmarking room revenue cannot be overstated. RGI, ARI, and MPI trio are the beacons guiding hotels

Those CompSets themselves are being driven by irrelevant factors like employee emotions and outdated RM systems that are not fit for purpose

When it comes to maximizing revenue and occupancy rates, dynamic pricing strategies have taken a quantum leap forward

As revenue management technology evolves, machine learning continues but the human element is key. Let us take a look at some of these points

Hotel pricing strategy involves determining the optimal rates for different room types, packages, and ancillary services. It requires careful analysis

The key to revenue management is following data trends and using insights to set the right pricing, AI is perfectly suited to support this hotel function

We demystify the differences between Revenue Management and Price Optimization and provide actionable insider tips to boost hotel earnings

Hotels were able to improve their pricing competencies and guest satisfaction did not decrease after introducing dynamic pricing

Because of the reach of these channels and the influence they have, negative ratings and reviews have a disastrous impact on a hotel’s financials

In this discussion we change tack a little and look at possible medium to long term implications of not addressing your hotel price competitiveness