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Customized tourism is gaining more and more attention in the era of the prominent personalization of tourists. Private customization has disadvantages such as high cost and resource consumption. To save resources and costs from the three aspects of travel companies, tourists, and society, it is proposed to bring similar tourists together and customize travel itineraries for tourists. Online resource information related to tourism and transportation help companies customize the itinerary more efficiently and accurately, and the itinerary has a detailed schedule. In this method, we first cluster visitors according to their heterogeneous needs. The relevant online information collected is then combined with the needs of each visitor in the tour group to build and solve customized models of the tour itinerary. Finally, the price of the tour itinerary is determined. At the end of this paper, we discussed what level of clustering makes visitors most satisfied. It proves that this approach can be customized for tour groups. Visitors show a certain level of satisfaction with this customized format. However, the applicability of this method needs to be further verified on a larger range of data sets.