Royal Caribbean uses AI forecasting

Cruise ships have a weird inventory problem. They are floating hotels, malls, restaurants, and excursion hubs — but once a ship leaves port, there is no quick restock. So if a line can get demand wrong by even a little, it ends up with waste, stockouts, or both. That is why Royal Caribbean’s latest AI push matters. On April 30, CEO Jason Liberty said the company is using AI across the vacation journey, from booking to onboard operations, and the interesting part is not the chatbot angle — it is the forecasting. (royalcaribbeanblog.com) ### What changed this week? The new bit is the company tying several strands together in one place. Liberty used the April 30, 2026 earnings call to say AI has been embedded in the business for years, but he also described a more unified system that connects booking behavior, app activity, pre-cruise purchases, and onbo(royalcaribbeanblog.com)ce they are on the ship. (royalcaribbeanblog.com) ### Why is a cruise line such a good fit? Because the cruise business is unusually measurable. Guests book months ahead. They buy drink packages, dining, internet, and excursions before sailing. They plan through the app. Then they move through a controlled environment with fixed venues and fixed inventory. That gives R(royalcaribbeanblog.com) monthly active app users are 5x 2019 levels, and more than half of onboard revenue is booked before embarkation. That is a forecasting gold mine. (royalcaribbeanblog.com) ### What is the AI actually predicting? Some of it is obvious — pricing and offer selection. Royal Caribbean has said its yield management models are AI-based, and Liberty previously said the company manages about 15 million price points a day, with more than 90% now AI-driven. But the more operational use case is deman(royalcaribbeanblog.com)on needs in short intervals. That is not just a better guest experience. That is hard margin. (royalcaribbeanblog.com) ### Why does pre-cruise data matter so much? Because it turns uncertainty into a head start. If a big share of beverage, dining, shore excursion, internet, and spa purchases happens before embarkation, the ship can provision more accurately and set inventory with fewer guesses. Royal Caribbean’s own hiring shows how for(royalcaribbeanblog.com)everage, shore excursions, internet, dining, spa, photo, and onboard activities. That is basically the commercial operating system for ancillary revenue. (jobs.royalcaribbeangroup.com) ### Is this just about selling more extras? No — that is the easy read, but it is too narrow. Royal Caribbean has been explicit that AI is also improving supply chain forecasting, energy management, and marine operations. So the same prediction layer that helps decide which guest should see a dining upsell can also help decide (jobs.royalcaribbeangroup.com)notice fewer frictions. Finance notices higher margins. (cruiseindustrynews.com) ### Why should hotels care? Because cruise lines are pressure-testing the hardest version of hospitality forecasting. A ship has limited storage, long replenishment cycles, and expensive mistakes. If AI works there, the same logic can work in resorts, stadiums, and large hotels — especially anywhere food, retail, and bookable extras sit on top of a fixed-c(cruiseindustrynews.com). It is an inventory story too. (royalcaribbeanblog.com) ### What is the bottom line? Royal Caribbean’s AI story is getting more concrete. The company is moving beyond generic talk about digital transformation and into something more valuable — using guest behavior to forecast physical demand before the ship even sails. That is how you sell more, waste less, and make a giant floating city run like it already knows what people want. (royalcaribbeanblog.com)