The Qufangfei digital cultural tourism platform aims to provide users with a full range of travel services, covering travel planning, attraction recommendations, accommodation reservations, transportation, ticket purchase, food recommendations, etc., allowing users to complete their travels easily and happily. The advantage lies in providing users with more efficient travel solutions and services based on artificial intelligence technology and big data analysis. At the same time, it provides a full range of services such as tickets, accommodation, transportation, food, etc. to make users' travel more perfect.
1. It can be based on the travel time, budget, number of travelers, travel purpose and other factors provided by the user;
2. Provide users with personalized travel planning solutions, including attraction selection, itinerary planning, and accommodation arrangements;
3. Through AI technology and data analysis, transportation and other aspects will make users’ travel more efficient and exciting.
1. Users can search for attractions in their destination. Through the intelligent sorting system, the most popular attractions with the highest user ratings will be displayed first;
2. The travel notes function in the app provides users with real recommendations for local food, attractions, and hotels, enriching users’ choices;
3. Work closely with major hotel booking platforms to provide users with the lowest-priced accommodation booking services on the entire network, and support real-time review.
1. Quick confirmation and the ability to cancel at any time ensure the user’s travel safety and convenience;
2. Provide nationwide booking services for train tickets, air tickets and long-distance bus tickets, and support real-time viewing of ticket prices;
3. There are also professional tour guide services, so that your travel is no longer bound by language and cultural barriers.
1. Attraction ticket booking service provides users with a convenient and fast ticket purchasing experience without waiting in line;
2. Provide local food recommendation services to allow users to better understand local culture and taste authentic food;
3. Make food recommendations for users based on their taste preferences, restaurant reviews and other factors.