While the full potential of generative AI for hotel revenue management remains to be seen, many industry experts expect change of some kind whether it involves increased efficiency, a bridge between revenue management and other hospitality operations, or new capabilities for revenue managers.
A recent PhocusWire article shared predictions from key RM leaders from BEONx, IDeaS Revenue Solutions, Cendyn, Duetto, and FLYR for Hospitality including:
💡In five years, generative AI tools will be the ‘norm’ and more accessible, which could lead to the ‘democratization’ of revenue management where everyone will benefit from revenue management tools regardless of skill or experience.
💡Machine learning will continue to do the “heavy lifting” for revenue management, such as data analysis, while generative AI could be implemented to help guide scenario planning, help with proactive adaptation as market conditions shift and personalization opportunities evolve.
💡Unprecedented insights from AI could lead to more precise algorithms benefiting revenue managers.
💡AI could bridge marketing and revenue management, facilitating customer-centric strategies based on spending patterns.
A couple predictions on how AI will supplement or replace humans include:
Klaus Kohlmayr, chief evangelist and development officer at Ideas, said he believes humans will be “more important than ever” as stratification of revenue management roles is likely to occur from commercially strategic to tactical.
Chris Crowley, CRO of Duetto, said the ideal scenario is always a combination of humans and machines.
“We need experienced revenue leaders to not only test the accuracy of the AI-driven results, but also roll out the overall strategy,” said Crowley. “These are people who understand the market, the goals of the hotel, the specific circumstances of the property and even gut feelings.”
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1moVery helpful!