Core Viewpoint - Tongcheng Travel has achieved an ESG rating of AAA from MSCI, placing it in the top 5% globally, reflecting its strong commitment to sustainable practices and governance [1][2]. Group 1: ESG Performance - Tongcheng Travel has integrated ESG practices into its business operations and culture, aiming for long-term sustainable development [2]. - The company emphasizes a "people-oriented" management philosophy, viewing talent as its most valuable resource and striving to create a diverse, equitable, and inclusive workplace [2]. - Tongcheng Travel has been recognized for its ESG management and long-term investment value, being included in the S&P Global "Sustainability Yearbook (China Edition)" for three consecutive years [3]. Group 2: Technological Advancements - Since 2025, generative AI technology has significantly impacted both supply and demand in the travel industry, with Tongcheng Travel leveraging AI to enhance supply chain capabilities and user experience [2]. - In March 2025, Tongcheng Travel's subsidiary, Lvzhi Technology, announced the full integration of AI models like DeepSeek and Alibaba Tongyi Qianwen into its hotel management system, achieving a 50% efficiency improvement in operational processes [2]. - The company has accelerated the iteration of AI products, launching the upgraded "Chengxin AI" model, now known as DeepTrip, which facilitates a seamless user experience from trip planning to product booking [3].

2025年以来，生成式AI技术对于旅游行业的供需两端产生了深刻影响。同程旅行以AI为抓手，不断强 化供应链赋能和用户体验提升。2025年3月，同程旅行旗下的旅智科技宣布旅智云全面接入DeepSeek、 阿里通义千问等AI大模型，成为酒店管理系统领域首个深度整合通用人工智能技术的标杆案例。根据 旅智科技内测数据显示，接入AI大模型后，包括订单查询、前台排房、退房等运营流程综合提效50%。 此外，在面向用户侧的AI产品方面，同程旅行也加快了迭代更新的步伐。继2024年打造在线旅游行业 首个完成双重备案的大模型——"程心AI"后，2025年3月，同程旅行将"程心AI"与DeepSeek进行技术融 合，并发布"程心AI"升级版——DeepTrip。升级后的"程心AI"，可以帮助用户更顺畅地完成从行程计划 到产品预订的全流程，实现从"AI推荐"到"AI决策执行+预订执行"的闭环。今年二季度，DeepTrip的活 跃度环比大幅提升，并实现从行程规划到预订转化的规模化。 对上市公司而言，更高的ESG评级是上市公司稳健经营、规范治理的价值体现。近年来，同程旅行在 ESG管理水平和长期投资价值等方面，得到了全球资本市场的充分肯 ...

Core Insights - The Chinese hotel industry is undergoing a significant efficiency revolution driven by AI technology, transforming service models and competitive logic [1][8] - AI is expected to replace a portion of hotel labor, potentially saving up to 30% in labor costs while shifting roles from repetitive tasks to high-value services [1][6] AI Implementation in Hotels - AI technologies such as smart front desk robots and AI digital managers are being integrated into hotel operations, enhancing efficiency and customer service [3][4] - Companies like Huazhu and Shoulv Rujia are leveraging AI for self-service check-ins and backend management, improving operational decision-making [3][4] Cost Reduction and Efficiency Gains - AI applications are reported to reduce labor costs by 30% and improve operational efficiency by 50% in processes like order inquiries and room assignments [6][4] - The use of AI digital managers has allowed hotel groups to automate 60% of repetitive tasks, freeing up human resources for more strategic roles [4][6] Market Trends and Challenges - The hotel industry is facing declining average daily rates (ADR) and occupancy rates (OCC), prompting a focus on cost reduction through AI [7][6] - Despite the benefits, challenges remain in AI adoption, including technology maturity and employee skill gaps [8][9] Future Outlook - The trend towards increased digital training and skill enhancement in the hotel workforce is expected to continue, with a shift towards a more technology-driven operational model [10][9] - The integration of AI is anticipated to evolve the hotel industry from a labor-intensive model to a human-machine collaborative approach [8][10]

Core Insights - The Chinese hotel industry is undergoing a significant efficiency revolution driven by AI technology, transforming service models and competitive logic [1] - AI is expected to replace a portion of hotel labor, potentially saving up to 30% in labor costs while shifting roles from repetitive tasks to high-value services [1][4] Group 1: AI Implementation in Hotels - Companies like Huazhu and Shoulv Rujia are increasingly adopting AI technologies, such as smart front desk robots and AI digital managers, to enhance operational efficiency [2][3] - AI applications in hotels are improving various processes, with data showing a 50% increase in efficiency for tasks like order inquiries and room assignments [3] - The "AI digital manager" is already operational in 3,200 stores under Shoulv Hotel Group, achieving a 90% usage rate and conducting 420,000 automatic price adjustments this year [3] Group 2: Cost Reduction and Efficiency - AI is helping hotels reduce labor costs by 30% through self-service solutions and energy management systems [4] - The average room price (ADR), occupancy rate (OCC), and revenue per available room (RevPAR) have shown a downward trend, prompting hotels to focus on cost reduction [5] - AI-driven revenue management systems are dynamically optimizing pricing, which has positively impacted RevPAR for some hotels [5] Group 3: Transition to Human-Machine Collaboration - The hotel industry is shifting from a labor-intensive model to a human-machine collaborative approach, with over 60% of surveyed entities acknowledging this trend [6] - Challenges remain in AI adoption, including insufficient technology maturity and a lack of employee skills in utilizing AI [6] - Future training will focus on enhancing digital capabilities and integrating AI with operational processes to avoid traditional practices [7]