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Industry 4.0 has touched all sectors of industry, including tourism. The digital world has brought the competitions to a much higher level, and the future is absolutely much tougher than right now. Previous and recent researches have tried to seek solutions by making innovations and trying to upgrade their levels by analyzing the quantitative and qualitative data in many ways. One sure thing about upgrading levels is to ensure two-way communication. The biggest mistake for any tourism services is to let the customers wait for responds, which will disappoint the customers and the customers will find other alternatives. A report in 2017 by Nielsen has shown that today-s generation has traveled more than any generations, and the tourism world reacted by creating travel chatbots which are now parts of any tourism activities. With the increasing number of travel chatbots, customers will have abundant but also overlapping information. Data from each travel chatbots might end up giving different outcomes, different features for every apps or misleading information, and this in return will decrease customer satisfaction. This paper addresses this issue by analyzing the literature data from previous and recent researches and find where the travel chatbots must be patterned by integrating Artificial Intelligence, then the writer does a quantitative analysis to do significancy tests on the travel chatbot users relating to customer satisfaction. Overall, the result shows that travel chatbots are related positively and significantly to customer satisfaction, but the data also show that with overlapping information from many travel chatbots will leave the customers in confusion and decrease customer satisfaction. The travel companies will benefit from this paper to undertand customer needs in creating the best serving travel chatbots for better services.