Core Insights - The integration of AI technology is driving transformation in the online travel industry, with Qunar Travel adopting a "full-chain AI reconstruction" strategy to enhance business growth, user journey services, and internal organizational transformation [1][2]. Business Growth and Industry Recognition - Qunar Travel has achieved significant business growth and industry recognition through AI-driven innovations, receiving multiple accolades such as "Top 100 Private Enterprises in Beijing" and "Top 100 Private Enterprises in Technological Innovation" [2]. - The company reported record growth in core business metrics, with new customer acquisition at a five-year high and app downloads topping the Apple App Store [2]. AI Technology and User Experience - Qunar has developed an AI-powered ticket booking assistant that significantly improves customer service efficiency, addressing common user inquiries and personalizing recommendations [4][5]. - The AI assistant is integrated into the app, providing proactive support and achieving a 70% resolution rate for inquiries, enhancing user experience across the travel journey [5]. AI Empowerment in the Industry - Qunar's AI initiatives extend beyond user services to empower the entire industry, enhancing collaboration with partners and driving cost efficiency [7][8]. - The company has developed specialized AI tools for ticket agents, reducing response times from 2 hours to 3 minutes and achieving a 70% automation rate for issue resolution [7]. Internal Organizational Transformation - Qunar has established an AI innovation ecosystem within the organization, with 80% of business lines utilizing AI tools to optimize workflows [8]. - The company emphasizes a bottom-up approach to AI innovation, fostering collaboration and knowledge sharing among employees to enhance AI application capabilities [8]. Future Outlook - Qunar's leadership anticipates significant changes in the industry driven by AI over the next two years, with plans to further integrate AI across all aspects of travel services [8].

Core Insights - The global tourism industry is experiencing a significant recovery since 2024, with international tourist arrivals exceeding 300 million in Q1 2025, marking a 5% year-on-year increase [1] - China remains the largest tourism spending country, with outbound spending increasing by 30% [1] - The integration of AI and digital technologies is a key focus at the 2025 Service Trade Fair, enhancing inbound tourism experiences [1] Inbound Tourism Growth - In 2024, China received 130 million inbound tourists, representing a year-on-year growth of over 60% [4] - The order volume for foreign tourists on the Qunar platform increased by 1.8 times in 2024, prior to the launch of its English version in July 2025 [4] - There is a notable trend of foreign tourists exploring deeper into China's third-tier cities, with ticket bookings to places like Datong, Yiwu, and Yining doubling [4] Airport Enhancements for Inbound Tourists - Beijing Capital Airport has introduced an English version of its app and website, offering services in four languages and 43 functionalities [5] - The airport provides a luggage storage service for travelers under the 240-hour visa-free policy, allowing them to enjoy local cuisine without carrying their bags [5] AI and Big Data in Tourism - The global tourism industry is undergoing structural adjustments, with AI and big data reshaping the tourism value chain [7] - Companies like Xiaohongshu are leveraging AI to enhance destination visibility and user engagement, focusing on the entire booking process [7] - Meituan Travel is developing AI tools for both consumer and business users, including an AI travel assistant for consumers and specialized services for hotels and scenic spots [8] AI Applications in Travel Services - Qunar is actively implementing AI applications for user engagement, covering areas such as travel itinerary planning and intelligent customer service [8] - An AI travel toolbox will be launched on Qunar's app homepage before the National Day holiday, consolidating various functionalities for users [8]

Core Insights - The 2025 China International Fair for Trade in Services highlighted the significant role of AI in the tourism industry, with a focus on digitalization and enhancing inbound tourism services [1] - The global tourism industry is experiencing a milestone recovery, with international tourist arrivals exceeding 300 million in Q1 2025, marking a 5% year-on-year increase [1] - China's outbound tourism spending has surged by 30%, reinforcing its position as the world's largest tourism spender [1] Inbound Tourism Growth - In 2024, inbound tourist arrivals in China reached 130 million, reflecting a year-on-year growth of over 60% [2] - The order volume for foreign tourists on the Qunar platform increased by 1.8 times in 2024, indicating a growing interest in China's tourism offerings [2] - There is a notable trend of foreign tourists exploring third-tier and lower cities in China, with ticket bookings to places like Datong, Yiwu, and Yining doubling [2] Airport Enhancements - Beijing Capital International Airport has implemented various services to accommodate inbound tourists, including an English version of its app and a luggage storage service for travelers [3] - The airport's website now supports four languages and offers 43 functions, enhancing the travel experience for international visitors [3] AI and Big Data in Tourism - The tourism industry is undergoing structural adjustments driven by AI and big data, reshaping the tourism development landscape [4] - Companies like Xiaohongshu are leveraging AI to enhance marketing strategies and improve user engagement with overseas destinations [4] - Qunar is actively integrating AI applications for user experience, including travel planning and customer service, with plans to launch an AI travel toolbox on its app [4] AI Applications by Travel Companies - Meituan Travel is exploring AI capabilities for both consumer and business users, with plans to introduce an AI travel assistant for consumers and specialized tools for hotel and scenic area operators [5] - The focus on AI in the travel sector aims to streamline services and enhance customer interactions across various platforms [5]

Core Viewpoint - The company is leveraging AI technology to enhance its online travel platform, aiming to improve user experience and operational efficiency across various services [2][3][4]. Group 1: AI Integration in Services - The company is reconstructing its app using AI, covering the entire travel process from itinerary planning to service assurance [2]. - An AI travel toolbox will be launched on the app's homepage before the National Day holiday, consolidating multiple functions for user convenience [2]. - The AI itinerary planning assistant is designed to provide personalized recommendations based on user preferences, utilizing a vast database of travel experiences and tags [2]. Group 2: AI Tools and User Interaction - The AI ticketing assistant, "Xiao Tuo," addresses personalized queries related to flight bookings, achieving a 70% resolution rate for user inquiries [3]. - The company plans to integrate all pre-trip AI assistants into a prominent position on the app, enhancing user interaction and satisfaction [3]. - AI tools are being utilized across various business lines to improve efficiency and optimize workflows, with an 80% coverage of AI programming teams [3][4]. Group 3: Empowering Industry Partners - The company has developed an AI assistant for ticket agents, reducing response time from 2 hours to 3 minutes and achieving a 70% automation rate for issue resolution [4]. - Future developments will include AI tools for airline flagship stores, automating problem identification and resolution processes [4]. Group 4: Internal Innovation and Culture - The establishment of AI communities within the company encourages employees to share best practices and innovative solutions, fostering a collaborative environment [4][5]. - An "AI Lab" has been created to focus on user-centric AI applications, emphasizing innovation over rigid performance metrics [5]. - The company is adopting a bottom-up approach to AI development, aiming to transform the organization and the industry over the next two years [5].

Core Viewpoint - Qunar is leveraging AI technology to enhance its app functionalities and improve user experience in travel planning and booking [1][6]. Group 1: AI Integration in Qunar's App - Qunar plans to launch an "AI Travel Toolbox" on its app homepage before the National Day holiday, consolidating multiple features for users [1]. - The company is reconstructing its app using AI across the entire travel process, from itinerary planning to service assurance during trips [6]. Group 2: AI Applications and Features - Qunar's AI applications include itinerary planning, flight pre-sale assistance, and intelligent customer service [6]. - The AI itinerary planning assistant offers personalized recommendations based on user preferences, utilizing a database of tens of thousands of real travel stories and various user tags [6]. - The AI flight assistant, "Xiao Tuo," addresses personalized queries related to flight bookings, achieving a 70% resolution rate for inquiries from approximately 70,000 users daily [6]. Group 3: Industry Empowerment through AI - Qunar has developed an AI assistant for ticket agents, reducing their response time from 2 hours to 3 minutes, with a 70% automation rate for resolving discrepancies [7]. - Future plans include extending these AI tools to airline flagship stores, automating the entire process of issue identification, analysis, resolution, and feedback [7].

Core Insights - Qunar Travel is launching an "AI Travel Toolbox" on its app homepage before the National Day holiday, which will integrate multiple specialized functions [1] Group 1: AI Integration in Qunar Travel - Qunar Travel is reconstructing its app using AI across the entire travel process, from itinerary planning to product search, price comparison, booking, and service assurance [6] - The AI applications currently cover travel itinerary planning, pre-sale assistance for flight tickets, and intelligent customer service [6] - The AI itinerary planning assistant aims to provide personalized recommendations based on user preferences, utilizing a database of tens of thousands of real travel stories and various user tags [6] Group 2: AI Assistance for Users - The AI flight assistant "Xiao Tuo" addresses personalized queries during the flight booking process, achieving a 70% resolution rate for inquiries from 70,000 users daily [6] - It can answer basic questions as well as provide personalized destination recommendations for less crowded places during the National Day holiday [6] Group 3: Industry Empowerment through AI - Qunar has developed a specialized AI assistant for ticket agents, reducing their response time from 2 hours to 3 minutes, with a 70% automatic resolution rate for information discrepancies [7] - Future plans include extending these AI tools to airline flagship stores, automating the entire process of issue identification, analysis, resolution, documentation, and backend optimization [7]