除了展示端，展会全流程的数字化改造同样显著。从AI智能客服解答参展疑问，到物联网传感器实时监测展位环境保障展品安全；从线上预登记系统快速 完成入场手续，到云计算平台支撑海量数据的实时处理，数字化让展会运营效率提升40%以上，观众平均参展时间成本降低近三成。 安静会长强调的"优化资源配置"，在数字化时代有了更精准的落地路径——大数据分析让会展业从"被动聚集"转向"主动链接"。 展会组织者通过收集分析参展商需求、观众画像、互动数据等信息，能够精准预测热门展区、匹配供需资源。例如某国际电子展通过大数据分析，发现新能 源企业与芯片厂商的对接需求激增，随即临时增设"新能源芯片对接专区"，促成30余笔意向合作；针对专业观众，平台则能根据其浏览记录、咨询方向，智 能推送匹配的参展商信息，实现"逛展清单个性化定制"。 这种数据驱动的模式，不仅让会展成为产业链的"连接器"，更成为产业趋势的"探测器"。深圳国际会展中心通过分析展会人流数据，为周边商业地产提供消 费偏好报告，助力其优化业态布局；上海进博会则通过参展数据沉淀，为跨境贸易政策调整提供了重要参考，真正实现了会展与产业的深度融合。 "当前，随着全球化向纵深发展，会展业已从 ...

深圳商报·读创客户端首席记者 王海荣 12月17日，毕马威中国大湾区科技咨询合伙人李良接受深圳商报·读创客户端记者采访时表示，过去依 赖土地增值和高速周转的"外延式"增长已难以为继，未来的核心必然转向通过好产品和精准投入来实 现"内涵式"发展。AI正是实现这一转向的关键工具，它让房企有能力像精密仪器一样去理解客户、设计 产品和测算投资，从"凭经验"转向"凭数据做精品"。 组合应用多维技术推动AI 与不动产融合 随着AI智能体逐步承担起巡检、客服、数据分析等标准化任务，不动产管理岗位的角色将从任务的直 接执行者转变为人机协同的规划者与决策者。未来的管理者更像一位AI训练师，其核心工作不再是亲 力亲为处理日常事务，而是精准定义运营中需要被优化的复杂问题，为AI设定清晰的目标和规则，并 对其输出的结果进行专业判断与纠偏。 图片说明：毕马威中国大湾区科技咨询合伙人李良（左一）17日在深圳主持主题为"XIN链接·构建以用 户为中心的AI基座"的圆桌讨论。 （受访单位供图） 李良认为，深圳作为科技与不动产深度融合的前沿，在培养新型管理者方面应充分发挥产业生态优势。 他建议采取"打破壁垒，在真实场景中淬炼"的核心路径，比如 ...

Core Viewpoint - The company, Xinhai Aviation Chang'an, has made significant advancements in enhancing passenger services through the integration of new technologies, focusing on digitalization and intelligent services to meet the evolving needs of travelers in the aviation sector [1][11]. Group 1: Technological Innovations - The introduction of AI intelligent customer service allows for efficient communication, enabling passengers to easily access various services through voice commands [2]. - The official website now features an "accessible browsing" function to assist special needs travelers, including the visually impaired and elderly, enhancing their online service experience [3]. - The implementation of an electronic itinerary system will eliminate paper tickets by October 2025, streamlining the process for travelers and improving efficiency in obtaining invoices [4]. Group 2: Service Enhancements - The upgrade of direct sales brand pricing allows passengers to customize their ticket purchases, catering to diverse travel needs and preferences [5][6]. - The launch of "offline payment" options during flights provides a convenient shopping experience for passengers, addressing the challenges of in-flight purchases without internet access [7]. - The enhancement of transfer services has resulted in over 70,000 new transfer product combinations, improving the overall travel experience for passengers [8]. Group 3: Operational Improvements - The adoption of RFID technology for luggage tracking has significantly improved the accuracy and timeliness of baggage handling, reducing the risk of lost luggage [9]. - Upgraded information management systems ensure better operational efficiency and safety, including real-time monitoring of flight operations and enhanced data security measures [10]. - The company emphasizes a commitment to passenger satisfaction, focusing on service quality and operational reliability as key performance indicators [11].

Core Insights - The "Double Eleven" shopping festival has evolved into a significant cultural and social event for Generation Z, beyond just a shopping spree [1] - A report by Soul App and Shanghai Youth Research Center highlights the consumption behavior of Generation Z during "Double Eleven" [1] Group 1: Participation and Attitudes - Over 90% of Generation Z expresses a positive attitude towards shopping during "Double Eleven," with participation rates increasing steadily over the years [4][6] - The percentage of young people who feel that "Double Eleven" has a stronger festive atmosphere in 2025 compared to previous years is 39.1% [6] - There is a notable divide in opinions, with some expressing skepticism about promotional claims like "lowest prices of the year" [7] Group 2: Budget and Spending Trends - Approximately 40% of young people plan to increase their budget for "Double Eleven" in 2025 compared to the previous year [11] - The proportion of those planning to spend more has risen from 27.3% in 2021 to 38.6% in 2025 [11] - Travel-related purchases have become the top emotional consumption category, with 36.9% of young people favoring travel products [11] Group 3: Cultural and Experience Consumption - 20% of young people are inclined towards cultural consumption, including books, music, and knowledge-based courses [12] - The trend of emotional consumption is evident, with experiences and entertainment taking precedence over traditional material goods [20] Group 4: AI and Technology in Shopping - About 70% of young people recognize the integration of AI in e-commerce, with AI customer service being the most popular application [22][25] - Satisfaction with AI applications in shopping is high, with 36.5% expressing that it enhances their shopping experience [26] Group 5: Offline Engagement and National Brands - Over 70% of young people are paying more attention to offline activities during "Double Eleven," indicating a shift towards in-store experiences [20] - There is a growing preference for domestic brands, particularly in categories like smartphones and home appliances, with 57.6% of young people indicating an increase in purchasing domestic products [20][21]

Core Insights - The company has implemented an AI-driven sales management platform that has improved sales forecasting accuracy by 30% and data adoption rates by 40% [1] - The company has provided financial support of up to 50 million for franchisees, aimed at alleviating liquidity pressures and strengthening collaboration [2] - The company is expanding its product categories and has seen positive growth in innovative categories, with instant food and beverage segments growing by 16.1% and 6.9% year-on-year, respectively [2] Group 1 - The company launched a "Store Sales Planning Management Platform" in May, integrating franchisees into a unified framework and enhancing supply chain efficiency through AI [1] - The company added 44 new distributors in the first half of 2025, focusing on transportation hubs and educational scenarios [1] - The company has established a comprehensive early warning network with 51 intelligent warning models to enhance operational efficiency [1] Group 2 - The financial support provided to franchisees is limited to 1 million per store and 5 million for related parties, aimed at supporting new and expanding stores [2] - The company is actively developing new growth engines in various sectors, including beverages, dairy products, and prepared foods, with positive performance in innovative categories [2] - The company is deepening its exploration in non-food and cross-border categories to meet diverse consumer needs [2] Group 3 - The company has sufficient cash on hand, and short-term fluctuations in operating cash flow will not impact normal operations or future expansion plans [3] - Changes in gross margin are primarily due to the different profit structures associated with new business expansions [3]

Core Viewpoint - The implementation of the Housing Rental Regulation marks a significant opportunity for compliant housing rental enterprises to thrive in a growing market, as the urban rental population exceeds 200 million in China [1][2]. Group 1: Market Dynamics - The rental market is increasingly competitive, and housing rental enterprises are seen as essential players that can stabilize and promote the rental system [2][3]. - The new regulation introduces a "classified supervision" model, categorizing market participants into four types, which allows for differentiated regulatory approaches [2]. - The regulation aims to address key issues in the rental market, such as information asymmetry, service standards, and tenant rights protection [2][3]. Group 2: Challenges and Opportunities - Current challenges in the rental market include inconsistent quality of housing supply, instability in rental relationships, and lack of regulatory oversight [2][3]. - The regulation provides a clear legal framework to address these challenges, offering compliant enterprises a pathway for sustainable growth [3][4]. Group 3: Financial and Digital Innovations - Housing rental enterprises are encouraged to leverage financial tools like REITs to transition from heavy asset models to a mixed investment approach, enhancing their resilience and long-term cash flow [4][9]. - Digitalization is identified as a crucial strategy for improving operational efficiency and transparency, with companies utilizing big data and AI to optimize services and customer engagement [6][7][8]. Group 4: Market Potential and Future Outlook - The top 30 housing rental enterprises in China have a combined operational scale of 1.398 million units, indicating significant room for growth in the market [5]. - The future of the rental market is expected to evolve into a dual-track system of market-driven and guaranteed rental housing, addressing the increasing demand for rental properties [9][10].

Core Insights - The banking industry is experiencing a dichotomy in attitudes towards AI application, with some professionals expressing skepticism while others advocate for its integration [1][2][3] - Many banks are reflecting on the necessity of AI and digital transformation, emphasizing practical applications rather than adopting technology for its own sake [3][4] - A notable trend is the increasing urgency among certain banks to enhance their digital capabilities and AI deployment, with some even incorporating data transformation rates into performance metrics [3][5] Group 1: AI Application in Banking - Numerous banks are exploring AI capabilities across various business scenarios, including customer service, wealth management, and risk control [5][6] - AI is being utilized to enhance customer interactions, with intelligent customer service systems leveraging existing semantic understanding and workflow capabilities [5][6] - In wealth management, banks are using AI to analyze customer preferences and market conditions to create tailored investment portfolios [5][6] Group 2: Challenges and Realities - Despite the enthusiasm for AI, many banking professionals express concerns about the effectiveness of AI in core business functions, particularly in customer service [2][3] - Some banks have invested heavily in AI infrastructure, such as GPU clusters, but the actual utilization rates do not justify the expenditures [3][4] - There is a recognition that technology should not be pursued for its own sake, and banks need to focus on integrating AI into practical business applications [3][4] Group 3: Future Outlook - As banks approach the release of their semi-annual reports, there is anticipation regarding more genuine disclosures about AI technology applications and digital transformation efforts [6] - The ongoing development of proprietary AI models tailored to banking needs is expected to enhance the effectiveness of marketing, customer service, and risk management [6] - The evolution of AI in banking is seen as a gradual process, requiring time for both employees and the market to adapt to these changes [6]

Core Viewpoint - The article discusses the contrasting perspectives among banking professionals regarding the application of AI in the industry, highlighting both skepticism and enthusiasm towards digital transformation and AI integration [1][2]. Group 1: Attitudes Towards AI and Digital Transformation - Many banking professionals express a cautious approach, emphasizing the need for practical applications rather than adopting AI for its own sake [2][3]. - There is a growing realization among banks that digital transformation should not merely be a superficial exercise, as evidenced by the proliferation of various AI agents claiming to empower banking functions [2][4]. - Despite the enthusiasm for AI, some banks struggle with the effective implementation of AI tools, leading to increased manual work rather than streamlining processes [3][5]. Group 2: Practical Applications of AI in Banking - Banks are increasingly utilizing AI in various business scenarios, including customer service, wealth management, risk control, and credit assessment [6][7]. - Common applications of AI include intelligent customer service that leverages existing capabilities to assist customer managers, and AI-driven investment portfolio customization based on client preferences [6][7]. - AI is also being employed in fraud prevention by analyzing customer behavior and transaction characteristics to enhance identification accuracy [6][7]. Group 3: Differentiation Among Banks - A divide is emerging among banks regarding their approach to digital transformation, with some adopting a more aggressive stance towards AI deployment and others taking a more passive approach [5][6]. - Certain banks are incorporating AI into less common areas, such as financial market operations, and are setting performance metrics related to AI utilization [5][6]. - The ongoing evolution of AI applications in banking reflects a gradual but significant transformation, with banks recognizing the need for time to fully realize the benefits of AI technology [7].

Core Viewpoint - Shengye Holdings Group Limited has demonstrated a successful strategic transformation, achieving a net profit increase of approximately 23% despite a slight decline in overall revenue, highlighting the effectiveness of its platform technology services and light-asset strategy [1][3][8]. Financial Performance - For the six months ending June 30, 2025, Shengye reported a main business revenue of 405 million yuan, a year-on-year decrease of 7.1%, while net profit rose to 203 million yuan [1]. - The platform technology service revenue reached 211 million yuan, a significant year-on-year increase of 37%, accounting for over 50% of total revenue [1][3]. - The company has maintained profitability for 11 consecutive years and has committed to a dividend payout ratio of no less than 90% from 2024 to 2026, with an expected total dividend of 950 million yuan for 2025 [2]. Strategic Transformation - The increase in platform technology service revenue is attributed to the continuous expansion of Shengye's platform ecosystem and enhanced technological capabilities, with over 19,100 cumulative clients, a 14.4% year-on-year growth [1][3]. - The light-asset strategy has led to a 33.9% reduction in financing costs, while the average financing cost for clients using the platform has decreased by over 30% [3][4]. Technological Investment - Shengye has invested nearly 270 million yuan in R&D in the first half of 2025, maintaining a high proportion of R&D personnel at 30% [4]. - The company holds 88 national invention patents and software copyrights, with applications in AI, big data, and cloud computing [4][6]. New Industry Layout - Shengye is actively expanding into emerging industries such as e-commerce, robotics, and AI applications, with significant growth in e-commerce partnerships, achieving a funding scale of over 2.8 billion yuan, an increase of nearly 800% year-on-year [5][6]. - The company has established strategic cooperation with leading firms in the robotics sector, positioning itself for growth in the rapidly expanding Chinese robotics market, which exceeds 190 billion yuan [5]. Internationalization and Innovation - Shengye has designated its Singapore subsidiary as its international headquarters and is expanding its presence in Southeast Asia and Turkey, successfully completing its first international funding facilitation [7]. - The company is exploring Web 3.0 and stablecoin applications to reduce cross-border payment costs and mitigate exchange rate risks, with a current operating cash flow of 3.56 billion yuan [7]. Industry Outlook - The supply chain finance industry is experiencing growth driven by national policies, particularly in technology finance, green finance, and digital finance, despite challenges such as information inadequacies and financing difficulties for SMEs [8][9]. - Shengye's performance reflects significant changes in China's supply chain finance and technology service sectors, leveraging AI and big data to enhance efficiency and reduce costs for SMEs [8].

Core Insights - The widespread application of intelligent customer service is a reflection of how fintech is reshaping banking services [1][3] - The digital transformation of banks is deepening, with a significant reduction in customer visits to physical branches, leading to the adoption of intelligent customer service as a standard [2][3] Group 1: Industry Transformation - The number of bank customer service personnel in China decreased to 50,200 by the end of 2021, down by 4,200 from 2020, marking a shift from previous growth trends [3] - The total amount of off-counter transactions in the banking sector reached 257.28 trillion yuan in 2021, a year-on-year increase of 11.46%, with an average electronic channel diversion rate of 90.29% [3] - The COVID-19 pandemic has accelerated the digital transformation of banks, pushing user habits further online and increasing the frequency and depth of online interactions [3] Group 2: Investment in Technology - In 2020, A-share listed banks invested 207.8 billion yuan in information technology, a year-on-year increase of 25% [6] - Major state-owned banks invested nearly 100 billion yuan in fintech in 2020, with Industrial and Commercial Bank of China investing 23.82 billion yuan, a 45.47% increase year-on-year [7] - China Merchants Bank reported an information technology investment of 13.29 billion yuan in 2021, a year-on-year increase of 11.58%, accounting for 4.37% of its operating income [7] Group 3: AI and Customer Service - In 2021, China Merchants Bank's AI initiatives replaced over 6,000 human roles through intelligent customer service and related technologies [4] - Intelligent customer service has expanded its application beyond routine inquiries to marketing and collection efforts, with voice robots effectively screening potential customers [5] - A report indicated that the satisfaction level of intelligent customer service is limited, with common complaints about repetitive responses and inadequate problem-solving capabilities [5] Group 4: Competitive Landscape - The demand for AI in the financial sector is steadily increasing, with total AI investment expected to exceed 22 billion yuan in 2022 [9] - Companies like BaiRong Cloud have reported significant revenue growth, with a 43% increase in total revenue to 1.623 billion yuan in 2021 [9] - Smaller banks are beginning to adopt AI technologies, with Guilin Bank collaborating with iFlytek to launch a virtual digital employee for customer service [10]