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Should revenue managers interact heavily with an AI RMS or trust automation? What is the impact of overrides on revenue?

In revenue management, the search for optimal pricing strategies is perpetual. Traditional supervised learning models have limitations, especially when historical data is sparse

A commercial culture should be instinctual, something that is not only deeply embedded in the company but also entwined in the DNA of every single employee

Successful implementation of AI in enhancing ancillary revenues hinges on a thoughtful approach that considers the technology’s impact on guests

By offloading repetitive tasks to AI, revenue managers can focus on higher-value activities that require human expertise and critical thinking

Hotels have an incredible opportunity to exceed guest expectations and maximize revenue potential with the help of new-age tools and processes

If you trust your data and tools, the barriers to empowering your your revenue managers to make data-driven decisions should naturally fade away

With an eclectic inventory and a broad range of customer types, they needed revenue management technology that could handle a complex revenue mix

In this era of endless digital progression, the ability to leverage AI and data is a game-changer. And hotel executives possess the power to change the game

Just because an RM system bears an AI moniker in its marketing doesn’t suddenly turn it into a revenue management silver bullet