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AI如何将旅游业推向“价值奇点”?比利信息从“西湖+”实践开始
3 6 Ke·2025-11-06 09:49

Core Insights - The tourism technology innovation over the past decade has primarily focused on pre-trip planning, but the rise of generative AI and multimodal technologies indicates that the real challenge lies in enhancing the fragmented, real-time experiences during the trip [1][4] - The role of AI in the tourism industry is shifting from being a decision-support tool to an intelligent operational entity that can actively recognize scenarios and trigger experiences, thus driving commercial growth [1][11] Company Developments - The travel recommendation AI project "Pao Pao Ai Travel" by Bili Information is currently in the business expansion phase, with plans to launch in Hangzhou's West Lake Scenic Area in 2024, aiming to integrate scenic area operations, user experience, and commercial monetization [2][4] - Bili Information is exploring new locations for expansion, with Chengdu being a primary candidate due to its vibrant digital economy and rich cultural tourism resources [1][2] Technological Innovations - The AI travel intelligent system focuses on real-time recommendations based on the tourist's location, weather changes, and personal preferences, utilizing a combination of maps and camera inputs [4][6] - The system can provide context-aware suggestions, such as sending cold drink coupons during hot weather or activating voice guides when tourists are near popular spots, thus enhancing the travel experience [6][11] Business Model Transformation - The traditional ticketing model is evolving, with tickets being redefined as "experience entry points" that combine cultural experiences and services, thereby increasing visitor engagement and generating new revenue streams for scenic areas [7][9] - The introduction of the RaaS (Result as a Service) model allows for a partnership where the AI system's success is tied to sales performance, transforming the relationship between technology providers and scenic areas into a collaborative growth model [10][11] Industry Implications - The tourism industry is transitioning from static displays to intelligent operations, with AI enabling a real-time feedback loop among content, traffic, and supply, leading to dynamic management of scenic areas [11][13] - The core competitive advantage of AI will increasingly depend on its ability to understand human behavior and generate operational actions in real-time, marking a shift from resource-driven to data-driven strategies [11][13]