专家团队认为，当前旅行AI可划分为OTA（在线旅游平台）主导的AI应用、泛生活类平台应用、通用 大模型、领域综合智能体四类主流产品形态。整体来看，旅行AI仍处于成长早期，呈现出"强于内容推 荐，弱于执行落地"的显著特征。 本报讯 （记者梁傲男）近日，国内首份系统性的《AI旅行助手评价体系》发布，飞猪问一问以724.92 分（满分900分）的综合得分排名第一，程心AI、支付宝出行助手分别位居第二和第三，小红书点点、 携程问道、腾讯元宝、豆包、DeepSeek紧随其后。 《AI旅行助手评价体系》系北京第二外国语学院数字文旅研究中心组建专家团队，基于可用性、易用 性、个性化、安全性、流畅性五大维度构建的综合评价体系，是旅行AI行业的重要参考框架。 "飞猪问一问在打通交易闭环方面进行了深入探索，为OTA行业如何利用AI赋能主营业务提供了实践案 例。"专家团队认为，飞猪问一问能够调用飞猪平台内机票、酒店等商品的实时库存与价格信息，为用 户提供直接预订的入口，并通过"拍照识万物"等功能，将服务从行前规划延伸至行中场景。 《AI旅行助手评价体系》显示，面向未来，多模态交互的全面应用、实时动态规划与优化、AI智能体 的深度集 ...

Investment Rating - The industry investment rating is maintained as "Positive" [4] Core Insights - AI is enhancing the operational efficiency of OTA platforms, optimizing user experience, and creating new revenue growth points. AI technology has penetrated core business areas such as customer service, pricing, revenue management, and itinerary planning, becoming a key driver for cost reduction and competitive advantage [3][6] - The report highlights specific companies in the sector, including Trip.com Group (09961, not rated) and Tongcheng Travel (00780, not rated) as potential investment targets [3] Summary by Sections AI Integration in OTA Platforms - OTA platforms are leveraging AI for cost reduction and service upgrades, significantly improving operational efficiency and user experience. For instance, Tongcheng Travel's "Chengxin AI" system has increased booking efficiency by over 80% compared to traditional channels, while Trip.com has positioned AI as a top priority, saving 20% in labor costs [6][7] - Dynamic pricing and AI revenue management are enhancing profitability. AI technologies analyze vast amounts of data for accurate price predictions and optimization, with companies like Hopper achieving a 90% accuracy rate in predicting airfare fluctuations [6][7] - AI is also optimizing pre-trip decision-making through personalized itinerary planning. Booking Holdings has introduced an AI Trip Planner that generates customized travel suggestions based on natural language queries, with over 60% of users utilizing it during bookings or travel [6][7] Future Outlook - The report anticipates that as multi-modal large model technologies mature and real-time data processing capabilities improve, OTA platforms will transition from "precise recommendations" to "predictive services," creating a truly user-centered intelligent travel ecosystem [6][7]

Group 1 - The core viewpoint of the report is that Ctrip Group-S (09961) is rated as "Buy" with projected revenues of 62 billion, 71.2 billion, and 80.9 billion yuan for 2025-2027, and Non-GAAP net profits of 19.4 billion, 22.4 billion, and 25.6 billion yuan respectively [1] - Ctrip is recognized as a leader in the domestic OTA industry, establishing strong competitive barriers in supply chain, user mindset, and global resource integration [1] - The recovery of the domestic tourism market provides stable support for Ctrip's domestic business growth, while inbound and international business is seen as the core driver for long-term performance growth [1] Group 2 - Ctrip has been early in adopting AI technology, starting large model research and development in 2013, and has released its first travel-specific large model product [2] - In 2024, Ctrip plans to launch two AI-driven content products that integrate user search data and real reviews, enhancing user engagement and experience [2] - In Q1 2025, Ctrip's AI applications have saved 20% in labor costs, and AI-assisted content production tools have reduced content creation time from 8.5 minutes to 15 seconds, achieving a content qualification rate of over 98.9% [2]

Core Viewpoint - The report from Caitong Securities initiates coverage on Trip.com Group (09961) with a "Buy" rating, projecting revenue growth from 62 billion to 80.9 billion yuan and Non-GAAP net profit growth from 19.4 billion to 25.6 billion yuan from 2025 to 2027, highlighting the company's strong competitive advantages in the domestic OTA industry and the recovery of the domestic travel market as key growth drivers [1][2]. Group 1: Financial Projections - Revenue projections for Trip.com Group are estimated at 62 billion yuan in 2025, 71.2 billion yuan in 2026, and 80.9 billion yuan in 2027 [1]. - Non-GAAP net profit is expected to reach 19.4 billion yuan in 2025, 22.4 billion yuan in 2026, and 25.6 billion yuan in 2027 [1]. Group 2: Market Position and Growth Drivers - Trip.com Group is recognized as a leader in the domestic OTA industry, establishing significant competitive barriers in supply chain management, user perception, and global resource integration [1]. - The recovery of the domestic travel market provides stable support for the company's domestic business growth, while inbound and international business is identified as a core driver for long-term performance growth [1]. Group 3: International Business Performance - The outbound travel market is rapidly recovering, with the gross transaction value (GTV) for outbound travel in Q1 2025 reaching 120% of the same period in 2019, significantly surpassing the industry average [1]. - In Q1 2025, the volume of flight orders recovered to 95%, hotel accommodation orders to 80%, and vacation business orders to over 70% [1]. Group 4: AI Technology Integration - The company began its AI technology layout in 2013, launching its first travel-specific large model product, and plans to release two AI-driven content products in 2024 [2]. - In Q1 2025, the company reported a 20% reduction in labor costs through applications like intelligent customer service and guide service monitoring, while AI-assisted content production tools reduced content creation time from 8.5 minutes to 15 seconds, achieving a content qualification rate of over 98.9% [2]. - The integration of AI technology is expected to enhance internal efficiency and external user experience, thereby improving user stickiness and profitability [2].

Core Viewpoint - Ctrip's executives, including founder Liang Jianzhang, are planning significant stock sales, indicating a shift in the company's ownership structure, while the company continues to show strong financial performance and faces increasing competition in the OTA market [5][11][18]. Group 1: Executive Stock Sales - Liang Jianzhang plans to sell 1 million ADS worth approximately $73.75 million, marking his first disclosure of a reduction plan since 2025 [5][7]. - Co-founder Fan Min also submitted a reduction plan to sell 70,000 ADS valued at about $4.54 million, making it his fourth reduction this year [7][8]. - The ownership structure of Ctrip is changing, with BlackRock becoming a major shareholder, holding over 34.81 million shares, equal to 5.3% of the company [8][9]. Group 2: Financial Performance - Ctrip reported a revenue of 28.7 billion yuan (approximately $4 billion) for the first half of the year, with a net profit of 9.194 billion yuan (around $1.283 billion) [11]. - In Q2, the company achieved a revenue of 14.864 billion yuan (about $2.075 billion) and a net profit of 4.88 billion yuan (approximately $681 million), showing a significant increase compared to the previous year [11]. - The company holds substantial cash reserves, totaling 94.1 billion yuan (around $13.1 billion) as of June 30, 2025 [11]. Group 3: Business Growth and Competition - Ctrip's accommodation booking business saw a revenue increase of 21% year-on-year, while transportation ticketing grew by 11% [12]. - The international OTA platform's flight booking volume increased by over 60% year-on-year, with inbound travel bookings more than doubling [12]. - Competitors like JD.com and Douyin are entering the OTA market, intensifying competition [13][14]. Group 4: Challenges and Strategic Directions - Ctrip faces challenges regarding user complaints about high service fees and pricing practices, which have led to negative perceptions [15]. - The company is exploring new growth avenues, particularly through AI, which is seen as a key area for future development [17]. - A new share buyback plan worth up to $5 billion has been approved, indicating management's confidence in the company's value despite executive stock sales [18].

Core Insights - The online travel industry is experiencing a rapid transformation driven by AI, with major platforms launching various AI travel assistants to enhance user experience and efficiency [1][3][26] - Despite the advancements, the penetration of AI in the online travel sector remains slow, particularly on the consumer side, due to the highly personalized nature of consumer demands and the complexity of data involved [3][17] - The current AI travel assistants face significant challenges, including outdated training data, data silos, and a lack of customized solutions to meet evolving user needs [3][20][21] AI Travel Assistants Overview - Major platforms like Mafengwo, Tuniu, Fliggy, Tongcheng Travel, and Ctrip have introduced AI travel assistants, each with unique features aimed at addressing user pain points [1][4][11] - The AI assistants provide comprehensive services, including ticket booking, hotel recommendations, and itinerary planning, but the user experience varies across platforms [4][9][11] Efficiency and Experience Optimization - AI travel assistants are designed to enhance efficiency by offering one-stop services for travel planning, from ticket queries to hotel bookings [4][16] - The depth of understanding and response quality varies, with some platforms providing detailed explanations and recommendations, while others offer more basic responses [4][9][11] Challenges in AI Implementation - The accuracy of AI-generated travel information is often compromised due to the fast-changing nature of travel-related data, leading to user dissatisfaction [18][20] - The lack of scene-specific customization and the tendency for AI-generated itineraries to be formulaic limit the effectiveness of these assistants in catering to niche travel needs [20][21] Future Directions - Companies are exploring ways to leverage their unique data and technological advantages to improve the accuracy and personalization of AI travel assistants [22][23] - The introduction of multi-agent systems aims to enhance the efficiency and accuracy of AI responses by integrating various specialized functions [23][24] - A shift towards user-centric design, where AI assistants adapt to individual preferences and provide tailored recommendations, is seen as a potential solution to current limitations [25][26]

Group 1 - The tourism industry is becoming a significant testing ground for AI applications, with generative AI enhancing content creation and expanding consumer scenarios [1][3] - By 2025, the global AI market in the tourism sector is expected to exceed $750 billion (approximately 5.3 trillion RMB), indicating a robust growth trajectory for AI in this industry [3] - Companies like Ctrip are actively integrating AI into their services, such as developing AI assistants for travel planning and hotel bookings, showcasing the practical applications of AI in enhancing user experience [4][5] Group 2 - The tourism sector is recognized as a strong driver of economic growth, with its development positively impacting various related industries, including dining and shopping [6] - Data from Meituan indicates that as residents' incomes rise, there is significant potential for increased tourism spending, with per capita tourism expenditure projected to grow from 28,000 RMB in 2018 to over 40,000 RMB by 2024 [7][9] - The contribution of tourism to China's GDP is currently at 4.3%, which is below the global average of nearly 10%, suggesting substantial room for growth and investment opportunities in the sector [9]

Group 1: Core Insights - The integration of technological and industrial innovation is essential for accelerating breakthroughs in core technologies and transforming results, thereby fostering an open and collaborative AI innovation ecosystem [1] - In 2023, the core AI industry in China reached a scale of 578.4 billion yuan, with a year-on-year growth of 13.9%, and the adoption rate of generative AI enterprises reached 15%, impacting related market scales of nearly 14.4 trillion yuan [1] - Major cities like Beijing and Shenzhen are leading the establishment of collaborative ecosystems that nurture 19 innovation clusters, including smart connected vehicles and intelligent manufacturing [1] Group 2: Research and Development - Basic research serves as a foundation for industry, with successful collaborations between universities and enterprises reducing product development cycles by 12 months and saving over 5 million yuan in costs [2] - The "Smart Rural Management System" has generated over 11 million yuan in sales, with projected revenues expected to exceed 50 million yuan by 2025 [2] - Guangzhou's Tianhe District is creating a full-chain system from basic research to industrial application, promoting interdisciplinary collaboration and innovation [2] Group 3: Key Technological Breakthroughs - Addressing challenges like "data silos" and "modal deficiencies" is crucial for achieving self-sufficiency in technology, with domestic efforts reshaping the global tech competition landscape [3] - China Unicom's "Lianshu Network" initiative has improved medical AI model training efficiency by 40%, increasing diagnostic accuracy from 82% to 91% [3] - The ZERITH-H1 humanoid robot has enhanced its success rate in grasping fragile objects from 65% to 95% through a comprehensive data architecture [3] Group 4: Application Innovations - AI is creating new market opportunities worth trillions by addressing traditional manufacturing pain points such as inefficiency and resource waste [4] - Haier's factory in Hefei has significantly improved equipment efficiency through the use of generative AI and machine learning for real-time parameter optimization [4] - The AI healthcare market is projected to reach 38.5 billion yuan by 2025, with innovative AI assistants enhancing patient experience and operational efficiency in hospitals [4] Group 5: Educational and Cultural Transformations - The emergence of smart classroom products is revolutionizing education, with AI technologies providing personalized learning experiences [5] - The Ministry of Education's establishment of 184 AI education bases is fostering the development of educational software and smart devices [5] - In the cultural tourism sector, the "Ctrip Ask" model is optimizing customer service and driving the growth of new digital content and virtual reality technologies [5]

Group 1: Core Insights - The integration of technological and industrial innovation is essential for accelerating core technology breakthroughs and achieving original advancements in artificial intelligence [1] - In 2023, the core AI industry in China reached a scale of 578.4 billion yuan, with a year-on-year growth of 13.9%, and generative AI adoption among enterprises reached 15% [1] - Major cities like Beijing and Shenzhen are leading the establishment of collaborative ecosystems that foster innovation in sectors such as smart connected vehicles and intelligent manufacturing [1] Group 2: Industry Applications - Basic research is crucial for enhancing industrial foundations, with successful collaborations leading to a 12-month reduction in product development cycles and cost savings exceeding 5 million yuan [2] - The medical AI sector has seen a 40% increase in model training efficiency due to the establishment of shared data platforms, improving diagnostic accuracy from 82% to 91% [3] - In manufacturing, AI integration has addressed traditional pain points, with companies like Haier optimizing production efficiency through industrial internet platforms [4] Group 3: Market Growth and Future Projections - The AI medical market is projected to reach 38.5 billion yuan by 2025, driven by innovations such as AI assistants that enhance patient experience and operational efficiency [6] - The education sector is experiencing transformation with AI-driven tools that provide personalized learning experiences, supported by the establishment of 184 AI education bases [6] - The tourism industry is leveraging AI to optimize customer service and operational efficiency, with significant time savings in human labor [6]

Group 1 - Meituan has launched its AI tool "Meituan Jibai" aimed at hotel operators, focusing on efficient customer acquisition, long-term management, and service transformation to enhance guest satisfaction [1][2] - The CEO of Meituan, Wang Xing, emphasizes a proactive strategy in AI development, advocating for leveraging resources to capitalize on disruptive technologies rather than merely defending existing assets [1][3] - The hotel and travel sector is entering an AI era, with Meituan preparing to support the industry's AI ecosystem development and planning to release an AI travel assistant for consumers [3][4] Group 2 - The integration of AI in Meituan's hotel services aims to improve operational efficiency and enhance user experience by providing dynamic business suggestions and personalized customer service [2][4] - Meituan's core local commerce segment, which includes its hotel and travel business, reported a revenue of 64.324 billion yuan in Q1, reflecting a year-on-year growth of 17.8% [3][6] - Meituan has made significant investments in AI and large model companies, indicating a forthcoming surge in AI applications across its various business lines [5][6] Group 3 - The company has invested heavily in AI technologies, with over half of its strategic investments focused on hard tech, including robotics and AI [6][7] - In Q1, Meituan's R&D expenditure reached 5.8 billion yuan, marking a 15% increase year-on-year, and the company is developing multiple AI application assistants for external users [6][7] - The competitive landscape in the travel industry is intensifying, with other players like Tongcheng and Ctrip also launching AI-driven services [3][6]