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AI和文旅能碰撞出什么样的火花?这场大会讲清楚了
Di Yi Cai Jing· 2025-07-28 11:56
"以往,数字孪生重构文旅空间,现在生成式AI也激活了文旅的内容创作,拓展我们的消费场景。"7月28日,在人工智能赋能文旅视听发展论坛上,上海广 播电视台、上海文化集团有限公司副台长、副总裁陈思劼表示,技术突破和文化表达的碰撞,正在重塑文旅产业发展格局。 一代又一代的数字技术正在改写文旅产业。此前,三星堆考古可以通过直播吸引3000万海外观众见证青铜神树出土,天坛公园已经可以用3D建模复原祈年 殿榫卯结构,而现在,AIGC技术则能让苏东坡在虚拟时空中与拜伦探讨诗歌韵律了。 旅游业成为AI落地的重要试验场。 陈思劼认为,AI发展到一定的阶段之后,会在每一个行业产生化学反应。2025年,文旅作为一个消费活力较大的产业,也正在与AI碰撞出更多的火花。 行业目前已经有一些代表性的探索,在此次大会上,主办方上海广播电视台发布了中国智慧·上海方案2025"AI+文旅"案例,包括上海东方传媒的 INNOMOTION体育赛事AI产品、幻维数码的《艺术苏河-印象情缘》AIGC光影竞赛、视辰信息的"星界之门"MR大空间互动系统、携程的AI行程助手等入 选。 作为文旅消费行业的企业,携程有不少关于AI+文旅的实践。在会上,携程高级产 ...
AI如何悄悄夺走你的旅游决策权?
Hu Xiu· 2025-06-12 01:42
Group 1 - The article discusses the evolution of AI in travel planning, highlighting how AI has transitioned from being a simple tool to a proactive assistant that understands user preferences and behaviors [7][10][11] - Gemini, Google's AI, can recommend travel destinations based on previous searches and user behavior, indicating a shift in how travel decisions are made [5][12][17] - The concept of "AI travel demand prediction" is emerging, where AI not only responds to user queries but also anticipates needs and preferences, effectively guiding users in their travel decisions [11][19][28] Group 2 - The article suggests that AI is not eliminating intermediaries in the travel industry but rather transforming the way they operate, focusing on understanding user intent more effectively [35][36][40] - AI can structure vague travel inspirations into actionable plans, creating a new marketplace where user intent is matched with travel products [38][39][41] - Online travel platforms are increasingly collaborating with AI technologies to capture user interest before they consciously decide to travel, thus maintaining pricing power [42][44]
在线旅游开卷AI 从技术工具化到标准化共建
Bei Jing Shang Bao· 2025-06-10 14:50
Core Insights - The tourism industry is undergoing a transformation driven by digitalization and the reshaping of the consumer industry chain, moving from a traditional service model to an integrated ecosystem [1] - The demand for travel is shifting from "functional satisfaction" to "experience-driven," with innovations such as artificial intelligence, low-altitude economy, and immersive technology reshaping the underlying logic of the tourism industry [1] - The focus is on rebuilding the "tourism+" industry chain through five dimensions: technological upgrades, scenario innovation, business model restructuring, service upgrades, and reshaping the consumer chain [1] Industry Trends - By 2025, the online travel industry is experiencing an unprecedented AI race, with platforms like Tongcheng Travel, Fliggy, and Mafengwo rapidly updating their AI products [2] - Online travel platforms are integrating the Deep-Seek model to enhance itinerary planning, intelligent customer service, and supply chain optimization [2] - Key trends include accelerated product iterations, reduced user decision-making time, AI replacing online customer service, and a high demand for technical talent [2][10] Product Development - All surveyed online travel platforms have integrated Deep-Seek, with an average product iteration cycle of 1-2 months [4] - Mafengwo launched its AI travel assistant "AI Xiaoma," which fully integrates Deep-Seek and its own vertical fine-tuning model [4] - Fliggy's AI product "Ask" and Tuniu's AI assistant "Xiaoniu" have also been rapidly launched, indicating a competitive environment [4][5] User Experience Enhancement - AI products are helping users shorten decision-making time and improve itinerary planning, with some platforms developing "budget management" features [7][8] - Mafengwo's "AI Xiaoma" supports real-time Q&A, itinerary planning, and personalized recommendations, while Fliggy's "Ask" includes multiple professional assistant functions [7][8] - The average browsing time for users planning trips to destinations like Xinjiang and Australia is significantly reduced with the help of AI [8] Talent and Investment - The demand for technical roles such as algorithm engineers and AI product managers is increasing due to investments in AI customer service and itinerary planning [10][11] - Companies like Ctrip and Tongcheng Travel are actively hiring for these positions, with salaries ranging from 20,000 to 50,000 yuan per month [11] - R&D expenses are rising, with Ctrip reporting a 16% year-on-year increase in Q4 2024 R&D costs, and Tongcheng Travel's service development expenses also increasing [11] Challenges and Future Outlook - Current AI technology is not mature enough to replace complex tasks, with many platforms relying on human-AI collaboration for personalized services [13][14] - The future of the industry may involve a battle between content-driven platforms and supply chain-based online travel platforms, with AI enhancing service frequency [15] - Overall, both capital and national policies are optimistic about the application prospects of AI in the tourism industry [16]
深蓝智库2025|被AI重塑的在线旅游:人才、大模型与流量入口三战齐发
Bei Jing Shang Bao· 2025-05-12 09:32
Core Viewpoint - The online travel industry is experiencing an unprecedented AI race in 2025, with platforms like Tongcheng Travel, Fliggy, and Mafengwo rapidly updating their AI products to gain a competitive edge in itinerary planning, intelligent customer service, and supply chain optimization [1][3]. Group 1: AI Product Development - All surveyed online travel platforms have integrated the DeepSeek model, with an average product iteration cycle of 1-2 months [3][6]. - Mafengwo launched its self-developed AI travel assistant "AI Xiaoma," which fully integrates DeepSeek and its own refined model [3][4]. - Fliggy's AI product "Ask One" has also accelerated its launch, showcasing a trend of rapid AI product updates across the industry [3][5]. Group 2: User Experience Enhancement - The upgraded AI products are designed to shorten user decision-making time and assist in itinerary planning and travel strategy formulation [6][7]. - Mafengwo's "AI Xiaoma" can provide real-time Q&A, itinerary planning, and personalized recommendations, significantly reducing the time users spend browsing [6][7]. - Fliggy's "Ask One" includes various specialized assistants, such as budget managers and itinerary assistants, to streamline the decision-making process for users [7][9]. Group 3: Talent and Investment Trends - The demand for technical roles such as algorithm engineers and AI product managers is increasing due to the growing investment in AI by online travel companies [9][10]. - Companies like Ctrip and Tongcheng Travel are actively hiring for these positions, with salaries ranging from 20,000 to 50,000 yuan per month [9]. - Ctrip's R&D expenses for Q4 2024 reached 3.4 billion yuan, a 16% year-on-year increase, indicating a significant investment in product development [9][10]. Group 4: AI Limitations and Future Outlook - Current AI technology is still maturing, with the ability to replace only simple tasks in the short term, while complex decision-making still requires human intervention [12][13]. - Experts suggest that AI can assist travel agents in creating itineraries but cannot fully replace the human touch in customer interactions [12][13]. - The future of the online travel industry may involve a high-frequency service model, where AI enhances user engagement and decision-making frequency [15][16].