智通财经APP获悉，东方证券发布研报称，酒店AI的核心价值在于系统性降本增效，未来重点不只在前 台自助，而在全面优化成本结构与资源配置。AI可通过预测客流、动态定价、自动化排班等方式降低 人力与能耗支出，并在供应链、设备维护、库存管理中持续释放效率红利。政策扶持和技术成熟将带动 中小酒店跟进，推动行业整体运营效率提升。看好酒店AI带来的系统性降本增效与运营效率提升。 东方证券主要观点如下： AI驱动酒店运营效率，行业进入规模化普及阶段 据《全国智慧旅游发展报告2023》预测，2020–2027年，全球酒店人工智能市场预计年复合增速约 15%。驱动力在于客户体验升级与成本优化的双重需求：智能前台、自助入住、动态定价、语音交互等 应用既满足住客对"无接触、个性化"的偏好，也显著降低人工和能耗成本。2025年8月国务院发布《关 于深入实施"人工智能+"行动的意见》，加快AI在旅游住宿、酒店餐饮等场景的应用(如加快人工智能技 术标准、设备规范和数据安全标准的研制与推广)，使行业发展进入政策与市场共振的快车道。 华住"新前台模式"将入住办理时间压缩至最快10秒，自助终端释放人工专注高接触服务;首旅如家"AI数 字店长" ...

Investment Rating - The industry investment rating is "Positive (Maintain)" [4] Core Insights - The core value of AI in hotels lies in systematic cost reduction and efficiency enhancement, focusing on optimizing cost structures and resource allocation rather than just self-service at the front desk. AI can lower labor and energy costs through demand forecasting, dynamic pricing, and automated scheduling, while continuously releasing efficiency dividends in supply chain, equipment maintenance, and inventory management. Policy support and technological maturity will drive small and medium-sized hotels to follow suit, enhancing overall industry operational efficiency [3][7]. Summary by Sections Industry Overview - The global hotel AI market is expected to grow at a compound annual growth rate (CAGR) of approximately 15% from 2020 to 2027, driven by the dual demand for customer experience upgrades and cost optimization. Applications such as smart front desks, self-check-in, dynamic pricing, and voice interaction meet guests' preferences for "contactless and personalized" services while significantly reducing labor and energy costs [7]. Key Players and Innovations - Leading hotel groups are achieving cost reduction and efficiency gains, with revenue management and smart rooms as breakthrough areas. For instance, Huazhu's "new front desk model" reduces check-in time to as fast as 10 seconds, while Shoulv's "AI digital store manager" provides traffic forecasting and dynamic pricing for nearly 7,000 hotels, enhancing RevPAR and operational efficiency. Atour leverages its ACARD membership system and "smart experience rooms" for facial recognition check-in [7]. Future Development - The future penetration of AI in the hotel industry will accelerate, focusing on three key areas: building intelligent middle platforms to integrate PMS, RMS, and CRM systems for cross-system data collaboration; naturalizing interactions through virtual customer service and digital humans for a more immersive experience; and expanding applications to security, cleaning, marketing, and refined member operations. With ongoing policy support, technological advancements, and capital investment, AI is expected to become the "infrastructure" for hotels to enhance operational efficiency and competitiveness, driving long-term benefits in cost structure optimization and service quality improvement [7].