Are eager to passengers


Globally, we see more and more passengers who are eligible to promote primary deputies, and mostly give travel solutions in real time.

A large study called “connective trips: As technology will travel in the next decade, traveling in spaces as China, France, India and the United States The study shows that about 64% of passengers in the world will consider money to consider the money to take care of the information to get informationAnd about 17% say they give 5% of their entire travel cost. This really can actually change the travel industry, but it also means they need to meet the passenger expectation.

AI growth in the trip

Year later, withdrawed the back of pure crocodiles in a trip! The people like that save their time (about 42%), and the beefed to be aware of the icon. And about 35% of the biometric gaitsat Ways (69%) are famous because it’s very easy And more stressed.

Motivable muffin: impartial

How travelers are open to spend money in AI deputies, this is an opportunity for the new way to perform things in the travel tech. In contrast of websites, which can pay ads or commissions that can pay for passengers and really focusing to be chosen for passengers. It can get up, how to travel, make sure that suggestions are based on quality, not only what the money earns. If we get rid of vital assistance as amiashors to the diseases, can actually help the passenger solutions.

Challenges in Ai

AI is not great, but perfect. Some of the people of the people are obtained from older of AI, and another quarter to provide information that superfriend, and to date. Because passengers expect to be easy and the manufacturer of things, the travel industry needs to ensure that the AI ​​real criteria meet the AI ​​real criteria.

Hyper-personalization and beyond

Passengers that these days are expecting the accuracy of high personal personal experience and real-time accuracy, for the rest of the various destinations. And it is a great trend that to introduce AI assistants become necessary tools, provides details on proteins, and less stressed. The industry is currently understanding that investing in AI that is not accurate and personalized and personalized – it is necessary to stay in the game.



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