Hotel AI Falls Short on Revenue Potential
The hospitality industry has been quick to adopt AI, but a recent conversation on the Good Morning Hospitality podcast suggests that hoteliers may be overlooking a crucial opportunity: using AI to drive revenue.
According to a discussion between industry experts Sarah Dandashy and Steve Turk, AI’s primary function in hotels has been to cut costs, rather than boost revenue.
This focus on cost-cutting may be a result of the initial allure of AI’s promise to streamline operations and reduce labor costs. However, as AI technology has advanced, it should be generating significant revenue for hotels through personalized marketing, upselling, and enhanced guest experiences.
Lack of Revenue-Generating AI Use Cases
Right now, many hotels are using AI to automate tasks like room assignments and basic customer service responses. While these tasks may be efficiently managed, they don’t translate to significant revenue growth. In contrast, AI can be used to identify high-value guests and offer them customized promotions, which could lead to increased bookings and higherAverage Daily Rates (ADRs).
Additionally, AI-powered chatbots can be designed to suggest additional services or amenities to guests, such as booking a spa treatment or purchasing a package deal. However, these opportunities are being missed as hotels focus on cost-cutting alone.
Turning Hotel AI Around
To flip the script, hotels need to rethink their use cases for AI and focus on revenue-generating opportunities.
This shift won’t happen overnight, but it’s essential for hotels to start exploring AI’s revenue potential. By leveraging AI to personalize marketing, offer tailored experiences, and upsell guests, hotels can finally start making money from their investments in AI.
What this means: Hotels should reassess their AI strategies to prioritize revenue growth over cost-cutting. This shift can lead to significant revenue increases and provide a more substantial return on investment for hoteliers.
