- AI catalogue maps 109 hotel use cases.
- Operations lead with 35 use cases.
- Distribution received highest priority rating.
“This catalogue makes AI tangible,” said Ira Vouk, AIHA founder. “It gives hoteliers a clear view of where AI is already being applied, what opportunities exist across the technology stack, and which use cases they should investigate for their own organizations.”
It covers five main areas: guest experience, revenue management and business intelligence, operations, distribution and commerce, marketing and sales. It also covers payments and transaction infrastructure, data and agent infrastructure, hotel development and investment intelligence.
Where AI leads
Operations accounts for the largest number of AI use cases, with 35. Of these, 32 already have live examples. Labor scheduling and labor-cost optimization received the highest priority rating in the category, with an average score of 45.3.
Revenue management and business intelligence follows with 27 use cases, including 23 with live examples. Dynamic pricing and room-rate optimization received the highest priority rating in this area.
Guest experience includes 16 use cases. AI guest inquiries, concierge services and automatic replies received the highest priority rating in the category, which recorded an average score of 45.2.
Distribution and commerce include 10 use cases but received the highest average priority score among the five main areas, at 55.8. AI-search visibility and machine-readable hotel discovery ranked as the top use case in this area, focusing on how hotels appear in AI-powered search and booking services.
The catalogue also shows the main problems hotels are trying to solve with AI. Manual work and staff capacity were the most common, appearing in 36 percent of the 109 use cases, followed by revenue leakage and conversion at 34 percent and decision visibility and forecasting at 25 percent.
Efficiency and time savings were the most common reported impact, at 61 percent of use cases. Guest experience and service followed at 49 percent, while revenue and conversion accounted for 47 percent.
What owners should know
The catalogue does not measure return on investment, vendor quality or market share. It shows where hotels are using AI and how industry participants rate the priority of different applications.
Technology vendors made up 39 percent of the 198 submissions, followed by consultants at 32 percent. Other contributors accounted for 21 percent, while hoteliers made up 8 percent.
The data also shows that some areas are still at an early stage. Payments has one use case and no live examples. Hotel development and investment intelligence has three use cases, also with no live examples, and recorded the lowest average priority score in the catalogue.
Some AI applications were submitted independently by more than one participant. Operations recorded eight repeated use cases, followed by guest experience with seven and distribution with five. The repeated submissions show that different industry participants are identifying similar ways to use AI in hotels.
A recent State of Distribution 2026 report by NYU’s Tisch Center, RateGain and HEDNA found that more than half of hotels use or are procuring generative AI, while fewer than one in 10 have cut manual work by more than 30 percent.
