AI in Hotels and Tourism pays off most when working with price and occupancy. Demand prediction based on history, season, regional events and competitor prices allows rates to be adjusted continuously instead of once a season, which is directly reflected in revenue per room. The second area is guest communication – answering repeated questions before arrival, multilingual support without the need for staff for every language, arrival instructions and handling requests during the stay. The third is working with feedback: sorting reviews by topic reveals recurring problems faster than reading them one by one. In addition, it helps with planning shifts and housekeeping according to occupancy. With dynamic pricing, make sure changes are not perceived as unfair towards guests who booked earlier.
See also: Grants for Tourism, Seasonality of demand, Online review management.
