China’s Meituan Creates AI-Powered Travel Ecosystem To Transform How Tourists Plan, Book And Experience Destinations
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China’s Meituan is reshaping the future of travel technology by bringing artificial intelligence directly into tourism planning, hotel operations, restaurant discovery and local experiences across China. The technology giant is integrating its advanced LongCat-2.0 foundation model with Xiaotuan AI assistant and CatPaw merchant platform to create a complete digital-to-physical travel ecosystem where artificial intelligence can understand traveller needs, design personalised journeys and connect visitors with real-world services. The move marks a major transformation in China’s tourism technology sector as Meituan shifts from being a local service marketplace into an AI-powered travel concierge capable of linking millions of hotels, restaurants, attractions and merchants with travellers.
The development reflects a wider change taking place across the global travel industry. Artificial intelligence is moving beyond simple recommendations and search functions. The next generation of travel platforms is expected to understand traveller intentions, process complex requests, manage bookings and coordinate multiple services automatically.
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Meituan’s strategy focuses on creating an AI system that does not only answer questions but completes tasks. By combining powerful AI models, massive consumer data and direct connections with physical tourism businesses, the company is building what could become one of the most advanced examples of agent-based travel commerce.
LongCat-2.0 AI Model Gives Meituan A Powerful Foundation For The Future Of Travel Intelligence
At the heart of Meituan’s transformation is LongCat-2.0, a next-generation artificial intelligence model designed to support advanced reasoning, coding, tool usage and autonomous AI agents. The model represents a major technological step because it is designed not only to generate information but also to perform complex actions. In travel applications, this capability is crucial because tourism decisions involve multiple connected factors including accommodation, restaurants, transportation, attractions and timing.
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According to the technical specifications provided for LongCat-2.0, the model includes:LongCat-2.0 Capability Details Model architecture Sparse Mixture-of-Experts (MoE) Total parameters 1.6 trillion Active parameters per token Approximately 48 billion Context window 1,048,576 tokens Output capacity Up to 262K tokens Computing infrastructure 50,000 domestic Chinese accelerators Main focus Agentic reasoning, tool calling and real-world execution
The model uses dynamic computing methods to activate only the required sections of the system during each task. This allows Meituan to maintain high intelligence while improving efficiency and reducing operating costs. Unlike traditional AI models that mainly provide text responses, LongCat-2.0 has been developed around agentic capabilities. This means it can break down complicated instructions, reason through multiple steps and interact with external systems.
For the travel sector, this creates opportunities for AI assistants that can move from recommending a destination to actually completing the journey planning process. LongCat-2.0 follows Meituan’s broader AI direction of developing foundation models, applying AI internally and embedding intelligence into consumer products.
Xiaotuan AI Assistant Changes China Travel Planning From Search-Based Booking To Intelligent Trip Execution
Meituan’s Xiaotuan AI assistant represents the company’s biggest consumer-facing travel innovation. Integrated into the Meituan app, Xiaotuan changes how travellers interact with digital tourism services. Traditional travel platforms usually require users to manually search through separate categories. Travellers often need different websites or applications for hotels, restaurants, attractions, transport and activities. Xiaotuan introduces a conversational travel experience where users can describe their complete requirements in natural language.
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For example, a traveller could request:
- A boutique hotel close to nature
- A family-friendly room option
- A highly rated local restaurant nearby
- Short travel distances between attractions
- A complete weekend itinerary
Instead of forcing users to compare hundreds of individual listings, the AI assistant can analyse all requirements together and create a connected travel solution.
The transformation can be explained through three major changes:Traditional Travel Search AI Agent Travel Model Users search individual categories AI understands complete travel goals Multiple filters and websites required One conversation manages multiple needs Recommendations only Recommendations plus booking execution Static information Real-time service connection
This represents a move from “search and select” tourism toward “request and complete” tourism. Meituan’s approach positions Xiaotuan as an AI travel gateway where planning, reservations and payments can happen inside one ecosystem. The company’s advantage comes from its existing connection with millions of physical businesses. Unlike standalone AI chatbots, Meituan already operates within a network of hotels, restaurants, attractions and local service providers.
Massive Local Data Network Helps Meituan Build More Accurate AI Travel Recommendations
One of the biggest challenges facing artificial intelligence in travel is reliability. Many general AI systems struggle with tourism recommendations because they may suggest outdated attractions, closed restaurants or unsuitable travel routes.
Meituan is attempting to solve this problem by grounding its AI models in real-world consumer behaviour and verified local service information. The company’s AI ecosystem uses more than 1.5 billion authentic consumer reviews collected through its platform. These reviews provide detailed insights into customer experiences, service quality, popularity trends and local preferences.
Meituan also uses its curated tourism and dining lists, including:Data Source Role In AI Travel 1.5 billion+ reviews Real customer experience data Must-Eat List (必吃榜) Trusted dining recommendations Must-Visit List (必玩榜) Local attraction discovery Merchant information Real-time service availability
The Must-Eat List has expanded across 264 cities and regions, creating a large database of local dining intelligence. The Must-Visit List provides similar support for attractions and experiences. This data advantage allows Meituan’s AI to provide recommendations based on actual traveller behaviour rather than generic internet information. For tourism destinations, this could improve the visibility of local businesses and help travellers discover authentic experiences.
CatPaw AI Platform Connects Hotels And Tourism Businesses With Smart Operations
While Xiaotuan focuses on travellers, Meituan’s CatPaw platform focuses on the businesses that serve them. The platform introduces AI-powered assistants for hotels, restaurants and local merchants, helping businesses improve operations and respond more effectively to customer demand. The system aims to transform Meituan from a booking channel into an active technology partner for tourism operators.
CatPaw can support areas including:
- Inventory management
- Operational assistance
- Service optimisation
- Dynamic business decisions
- Merchant workflow automation
For hotels, AI-powered tools could help manage room availability and improve coordination between customer demand and property operations. For restaurants and attractions, the technology can help businesses better understand visitor preferences and improve service delivery. The connection between Xiaotuan and CatPaw creates a closed-loop tourism ecosystem.
The process works through:
Traveller request → Xiaotuan AI planning → Merchant availability → Booking completion → Real-world experience
This creates a direct connection between traveller demand and tourism supply.
Meituan’s AI Strategy Signals A New Era Of Agentic Tourism And Digital Travel Commerce
Meituan’s artificial intelligence strategy highlights a major shift in the global travel industry. For decades, online travel agencies competed mainly through search functions, pricing and inventory. The next stage of competition could focus on intelligence, automation and the ability to complete complex tasks.
The emerging AI travel model combines:Technology Layer Travel Impact Foundation AI models Advanced reasoning and planning Consumer AI assistants Personalised trip creation Merchant AI tools Smarter tourism operations Real-world service networks Physical travel fulfilment
Meituan’s biggest advantage is its connection between digital intelligence and physical infrastructure. Pure software AI companies may generate travel suggestions, but they often lack direct access to hotel systems, restaurant bookings, local services and payment networks. Meituan already operates within this environment.
Its AI ecosystem connects:
- Travellers
- Hotels
- Restaurants
- Attractions
- Local merchants
- Payment systems
- Delivery and mobility services
This creates a powerful model where artificial intelligence becomes the bridge between online decisions and offline experiences. The travel industry is entering a period where AI assistants could become the main gateway for discovering destinations, organising journeys and completing bookings.Meituan’s LongCat-2.0, Xiaotuan and CatPaw platforms show how China is positioning artificial intelligence as a central force in the future of tourism. The next generation of travel may not be defined only by where people go, but by how intelligently technology helps them experience destinations.
Conclusion: Meituan’s AI Travel Transformation Could Redefine The Future Of Tourism
Meituan’s AI-driven transformation marks a major turning point for China’s travel and tourism ecosystem. By combining LongCat-2.0’s advanced intelligence, Xiaotuan’s personalised travel planning and CatPaw’s merchant support network, the company is creating a connected platform where digital decisions lead directly to real-world experiences. The integration of AI, local data and physical tourism infrastructure could reshape how travellers discover destinations, book services and explore cities. As artificial intelligence becomes more powerful, Meituan’s model highlights a future where smart travel assistants become central to global tourism experiences.
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