AI Digital Tour Guides Reshape China’s Domestic Travel Experience

As reported by China Economic Network, artificial intelligence-powered mini-programmes are streamlining travel planning and fuelling industrial upgrades across multiple Chinese provinces, eliminating the time-consuming manual itinerary preparation that once dominated pre-trip arrangements.

Holidaymakers no longer need to sift through scattered online guides to map out routes, book accommodation or source local leisure tips. Mobile search access to regional cultural and tourism mini-programmes including Huang Xiaoxi from Guizhou, Hang Xiaoyi from Zhejiang and Xiayangzhou from Jiangsu unlocks instant digital tour guides capable of answering all manner of travel enquiries, delivering fresh on-location experiences while driving structural shifts within the tourism sector.

Guizhou’s official Huang Xiaoxi platform was formally launched to the public in 2025. Users can submit wide-ranging travel queries to the system, spanning mainstream family-friendly scenic spots in Guiyang to niche outdoor activities such as hiking, stream trekking and cave exploration, all of which receive customised, well-structured travel suggestions.

The platform draws upon aggregated data from multiple industry platforms to generate scientifically calibrated routes, timetables and targeted recommendations. Built on proprietary AI algorithms integrated with multiple large language models, Huang Xiaoxi has established data links with more than ten mainstream service platforms including Amap, Tongcheng Travel and One-Code Travel Guizhou. The system delivers a fundamental shift away from traditional search frameworks where users actively hunted for information, instead enabling intelligent services to anticipate and match individual visitor requirements.

AI-backed digital guides hold clear advantages over conventional human tour guides in real-time responsiveness and customisation, with Hang Xiaoyi deployed across Hangzhou serving as a prominent real-world example.

Blue interactive smart stickers have been installed at major scenic zones and commercial districts throughout Hangzhou. A simple tap with a mobile device pulls up the cartoon avatar of Hang Xiaoyi, a virtual guide styled in traditional Jiangnan cheongsam, ready to deliver location-specific travel support.

Visitors arriving from out-of-town locations can access personalised guidance the moment they step into the city’s transport hubs. Upon arrival at Hangzhou East Railway Station, the mini-programme automatically shares exit navigation tips; after hotel check-in, it pushes nearby scenic spots, local food discounts and self-guided walking routes limited to a 15-minute radius from guest accommodation. Once a visitor’s trip concludes, the platform compiles a complete digital travel journal documenting their entire journey.

Beyond enhancing visitor satisfaction, the robust data processing capabilities embedded within these regional tourism mini-programmes streamline operational management for scenic areas and associated tourism operators, laying foundations for ongoing industrial transformation.

Digital technology enables scenic site management to move away from experience-led operations towards data-driven governance. Huangshan stands among China’s earliest full-scale smart tourism destinations. Analysis of visitor behavioural metrics including dwell times and preferred sightseeing zones allows site operators to forecast peak passenger flows, trigger early operational adjustments, optimise shuttle bus scheduling and regulate car park occupancy to cut down on overcrowding.

Full-chain digital integration connecting catering, accommodation, transport, sightseeing, retail and entertainment services stands as the core breakthrough of Huangshan’s smart tourism rollout. The framework helps the destination evolve beyond a revenue model reliant solely on entry tickets, expanding income streams through diversified integrated consumption.

Data privacy and information security remain central considerations amid widespread AI travel tool adoption. Jiangsu’s Xiayangzhou mini-programme has embedded comprehensive safeguards during its initial development phase, rolling out three overarching strategic frameworks covering information technology security, information governance and operational risk control. These systems strengthen risk identification, real-time monitoring and early warning mechanisms to sustain stable platform operation and fully shield users’ personal data from unauthorised access.

Global deployment of large AI models is expanding at a rapid pace, yet supporting security infrastructure for such technology remains in early developmental stages. Industry practitioners are required to comply fully with China’s prevailing regulatory frameworks, ensuring all training, deployment and commercial use of large language models align with legal stipulations, social norms and ethical standards.

Further iterations of regional AI tourism mini-programmes are set to launch updated interactive functions and expanded data interoperability tools in the coming months, with local cultural and tourism authorities continuing to refine security protocols and personalised service algorithms for domestic travellers.