What the catalogue counts
The AI Hospitality Alliance and HEDNA released the Hospitality AI Use Case Catalogue. Hotel News Resource carried the announcement on 25 September 2026. The project drew 198 industry submissions, which the organisers consolidated after review and deduplication into 109 unique AI use cases spanning 39 hotel systems.
The live catalogue page carries a later set. Read on 8 October 2026, the page states that the industry submitted 200 use cases and that 112 unique use cases remain across 39 hotel systems. The page reconciles the two sets on its own line: "The catalog lists 112 use cases: the study's 109, refined as submissions are re-reviewed, plus later submissions, which are marked as added after the study." Its source note dates the snapshot to 21 August 2026, with 12 internally appended category suggestions.
Ira Vouk, founder of the AI Hospitality Alliance, framed the catalogue against the sector's earlier discussion of AI. "This catalogue makes AI tangible," Vouk said. "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."
Five hotel functions and three layers
The map sorts the use cases across five hotel functions: Guest Experience, Revenue & BI, Operations, Distribution & Commerce, and Marketing & Sales. Three cross-cutting layers sit outside those functions: Payments & Transaction Infrastructure, Hotel Development, Concept, Asset & Investment Intelligence, and Data, Middleware, Semantic & Agent Infrastructure.
The page assigns an orientation to each layer. It labels Payments & Transaction Infrastructure as customer-facing, the development and investment layer as back-facing, and the data and agent layer as horizontal.
The category counts
Operations holds 35 unique use cases, 32 of them carrying at least one live example, at an average evaluation-priority score of 45.3. Labor scheduling and labor-cost optimization ranks first in that category.
Revenue & BI holds 27 use cases, 23 with a live example, at an average of 43.7. Dynamic pricing and room-rate optimization ranks first.
Marketing & Sales holds 18 use cases at an average of 43.1, 15 with a live example. Guest Experience holds 16 at an average of 45.2, 12 with a live example, led by AI guest inquiry and auto-reply automation. Distribution & Commerce holds 11 use cases, 10 with a live example, at an average of 55.5, the highest of the eight groupings, with AI-search visibility and machine-readable hotel discovery ranked first.
The three layers carry the thinnest counts. Payments & Transaction Infrastructure holds 1 use case at an average score of 34.9. The development layer holds 3 use cases with no live example recorded, at an average of 22.2. The data and agent layer holds 1. The eight groupings sum to 112 unique use cases.
The beneficiaries and the problems
The page publishes its beneficiary and problem splits against the 109-use-case base. Hotel staff is the primary beneficiary named for 24 per cent of use cases, ahead of the revenue team at 22 per cent, guests at 16 per cent, corporate teams at 15 per cent, marketing teams at 13 per cent and owners at 10 per cent.
Manual work and staff capacity appears as an addressed business problem in 36 per cent of use cases, ahead of revenue leakage and conversion at 34 per cent and decision visibility and forecasting at 25 per cent. Efficiency and time savings is claimed as a main impact in 61 per cent of use cases, ahead of guest experience at 49 per cent and revenue and conversion at 47 per cent.
The comment themes carry the commercial pressure the contributors reported. Data, integration and orchestration appears in 24 per cent of use cases, direct-channel or OTA pressure in 18 per cent, multilingual service or translation in 17 per cent and agentic or autonomous operation in 17 per cent. Human escalation or exception handling appears in 12 per cent, with privacy, security or governance at 7 per cent and control or explainability at 7 per cent. The page states that governance and human control are comparatively under-specified across the 109 narratives.
The priority score and its stated limits
The catalogue ranks use cases by a hotelier evaluation-priority score. The page sets out the composition: value-pathway breadth at 30 points, adoption maturity at 25, measurement evidence at 20, industry interest at 15 and cross-functional reach at 10. Within each category it orders the rows by that score.
Both the release and the page scope the score. The release states the score is not intended to measure realized ROI, vendor quality or market share. The page phrases the same limit as a statement that the score is not a measure of proven importance, realized ROI, vendor quality or market share.
The contributor mix runs on the 198-submission base: technology vendors filed 39 per cent, consultants 32 per cent, other contributors 21 per cent and hoteliers 8 per cent. Both the interactive map and the full catalogue are free. The Alliance invites hospitality professionals, operators, vendors and academics to submit use cases it has missed.
The day-use read of the catalogue
The catalogue's eight groupings carry no day-use category, no hourly term and no slot window. A day-let programme's pricing sits inside Revenue & BI, which the page counts at 27 use cases, and its guest messaging sits inside Guest Experience, at 16.
The network's own day-use shelf publishes 103,857 hotels across 46 United States states on its 8 October 2026 read, on four windows of morning, afternoon, evening and overnight. Its home page puts day rates typically 30 to 75 per cent below the nightly figure, and its rates page puts a day slot at 40 to 60 per cent of the room's nightly price. Those queries and rate moves sit in the operator's own booking records, and the catalogue measures none of them.