一、SCRM系统管理软件的技术架构：多渠道数据整合的基石 1.1 数据采集层：全渠道触点覆盖 SCRM系统的核心能力在于打通微信、微博、抖音、电商平台、线下门店等所有客户触点。通过API接口技术，系统可实时抓取客户在各渠道的行为数据， 包括浏览记录、购买历史、互动内容、地理位置等。例如，某零售品牌通过SCRM整合12个渠道数据后，发现客户在社交媒体上的产品咨询量占比达45%， 而传统邮件渠道仅占8%，据此优化了资源分配。 在数字化营销时代，企业与客户的多渠道互动已成为提升竞争力的核心要素。SCRM(社交化客户关系管理)系统通过整合社交媒体、即时通讯、电商平台等 全渠道数据，实现了客户互动的自动化与智能化。本文将从技术架构、流程设计、常见问题及优化策略四个维度，系统阐述SCRM管理软件在客户互动渠道 管理中的关键方法与实践。 1.2 数据处理层：清洗、分析与标签化 采集到的原始数据需经过清洗、分类和标签化处理。系统通过自然语言处理(NLP)技术解析客户评论中的情感倾向，结合RFM模型(最近一次消费、消费频 率、消费金额)计算客户价值，最终形成包含"基本属性""行为偏好""价值等级"的三维客户画像。例如，某电商平 ...

2025年9月3日，欧盟普通法院维持欧盟27个成员国家与美国达成的数据传输协议，驳回了法国议员菲利 普·拉通贝（Philippe Latombe）对此提起的诉讼。 拉通贝议员提起诉讼的理由是欧美数据传输协议没有完全尊重欧盟自身的数据保护规则，并认为美国情 报机构在从欧盟运输途中大量收集个人数据的做法是非法的。然而，位于卢森堡的欧盟普通法院在裁决 中却指出："在作出有争议的裁决之日，美国确保了从欧盟向该国组织传输的个人数据得到充分的保 护。" 讽刺的是，欧盟议会甚至早就注意到了，特朗普当选后解雇隐私和公民自由监督委员会（PCLOB）所 有三名民主党成员，导致该机构无法正常运作，已经影响到了此前对欧盟-美国数据隐私框架（DPF） 的充分性认定，并在2025年5月就此问题向欧盟委员会提出质询。 一、脆弱的法律平衡：从"充分性认定"到监督机制缺陷 自1995年以来，欧盟法律禁止将个人数据输出到欧盟以外的国家，除非有绝对必要。当非欧盟国家对欧 洲人的个人数据提供"基本等同"的保护时，数据可以被输出到国外。 另一方面，自斯诺登披露以来，我们得知，美国通过从美国大型科技公司窃取个人数据，对全球用户进 行大规模监控。美国拥有 ...

Group 1 - The core point of the news is that FAW Jiefang Automotive Co., Ltd. has applied for a patent for a method and device related to vehicle operation condition design, which emphasizes data privacy protection during the design process [1] - The patent application was published under the number CN120524514A, with an application date of May 2025 [1] - The method involves obtaining vehicle operation parameters and merging data to determine a time series of operational parameters, which will be used as the design result for vehicle operation conditions [1] Group 2 - FAW Jiefang Automotive Co., Ltd. was established in 2002 and is located in Changchun City, primarily engaged in the automotive manufacturing industry [2] - The company has a registered capital of 1,080,301.25 million RMB and has invested in 23 enterprises [2] - FAW Jiefang has participated in 5,000 bidding projects and holds 5000 patent records along with 272 trademark records [2]

Core Viewpoint - The rapid development of big data and artificial intelligence has highlighted data security and privacy issues, with traditional data transmission methods posing significant risks. The introduction of blockchain technology offers new solutions, exemplified by MicroAlgorithm Technology's innovative BlockFL architecture, which ensures secure, efficient, and privacy-protecting data transmission [1][6]. Group 1: BlockFL Architecture - BlockFL architecture utilizes blockchain networks to achieve efficient data exchange and synchronization in federated learning, allowing devices to upload local model updates and download global model updates quickly and effectively [2]. - The decentralized nature and high concurrency of blockchain ensure that all devices receive the same global model updates, maintaining consistency and accuracy in model training [2]. Group 2: Process Overview - Initialization involves the system administrator creating an initial model and broadcasting it to all participating nodes while the blockchain records metadata of the federated learning activity [4]. - Each node trains the model on its local dataset without exposing original data, thus protecting data privacy [4]. - Nodes upload encrypted model parameters to the blockchain, where smart contracts validate their effectiveness and integrity, preventing malicious actions [4]. - Once verified, a central server or designated aggregation node extracts parameters from the blockchain, averages them, and generates a new version of the global model [4]. - The updated global model is then broadcasted to all nodes for the next training round, with the blockchain ensuring traceability of all operations [4]. - An incentive and penalty mechanism is integrated into BlockFL to encourage participation and quality data contribution, with smart contracts automatically executing rewards and penalties [4]. Group 3: Applications and Future Prospects - BlockFL architecture can be applied across various sectors, including healthcare, financial risk control, smart manufacturing, and smart cities, facilitating data collaboration while maintaining security and privacy [5]. - In healthcare, BlockFL enables hospitals to collaboratively train diagnostic models while protecting patient privacy; in finance, it allows institutions to identify fraud without sharing sensitive information; in smart manufacturing, it promotes collaboration between factories; and in smart cities, it supports inter-departmental cooperation without compromising sensitive data [5]. - The combination of blockchain and federated learning in BlockFL addresses traditional data transmission challenges, enhancing efficiency and accuracy in model training, positioning it as a significant technological support in data transmission and machine learning in the future [6].

Group 1 - OPPO showcased multiple cutting-edge AI terminal technologies and applications at the 2025 World Artificial Intelligence Conference (WAIC 2025) aimed at enhancing user work, life, and health management [1] - OPPO's Vice President and head of the Health Lab, Zeng Zijing, announced the industry's first AI health record and the OPPO AI Health Manager, which creates a comprehensive service system for health management, shifting from "passive treatment" to "active prevention" [3] - The AI health management system is designed to provide personalized and intelligent health management experiences for users, emphasizing the importance of understanding health concerns through AI interpretation of health reports [3] Group 2 - At WAIC, OPPO's General Manager of the Smart Assistant Department, Wan Yulong, revealed a collaborative development of edge AI parallel decoding acceleration technology, achieving over 8 times decoding acceleration on the latest chip platform, with peak output speed exceeding 200 tokens per second for 3B models [5] - This breakthrough in edge AI computing power lays a solid foundation for the continuous evolution of OPPO's system-level AI capabilities, transitioning mobile phones from "efficiency tools" to "efficient and dedicated smart assistants" [5] - OPPO emphasizes a "high-efficiency & dedicated" AI value proposition, focusing on a "1+3" core scenario strategy to enhance user experiences in various aspects of life, learning, and work [5] Group 3 - With the rise of AI, user demand for personal data privacy protection has significantly increased, making security and trust key factors in choosing AI products [7] - OPPO's Technical Strategy Planning Director, Chen Xiaochun, highlighted the importance of privacy protection, integrating it into the entire product design process, ensuring that personal information is processed only with user consent [7] - Looking ahead, OPPO aims to continue exploring innovative applications of AI technology while strictly protecting user privacy, focusing on multi-modal perception, intelligent agent development, and personalized experiences for users [7]

Financial Data and Key Metrics Changes - The company reported a strong first quarter with significant identical sales growth driven by pharmacy, ecommerce, and fresh categories [34] - A dividend increase from $1.28 to $1.40 per year was approved, marking the 19th consecutive year of dividend increases [38] Business Line Data and Key Metrics Changes - The ecommerce segment experienced double-digit growth, indicating a successful strategy in online sales [54] - The company plans to complete 30 store projects in 2025, maintaining the same level as the previous year, with intentions to increase this number in 2026 and beyond [54] Market Data and Key Metrics Changes - The company lowered prices on over 2,000 additional products in the first quarter, aiming to make savings more visible to customers [52] - The competitive pricing environment remains rational, with a focus on keeping prices affordable to attract more customers [51] Company Strategy and Development Direction - The company is focusing on core retail business investments, including lower prices and extended store hours, funded by reducing corporate expenses [34] - A strategic reevaluation of non-core assets is underway to enhance focus on the primary business [33] Management's Comments on Operating Environment and Future Outlook - Management emphasized the need to adapt quickly to competition, particularly in ecommerce, to improve profitability and customer base [35] - The company is committed to investing in associates, having increased average store hourly pay by 38% over the past seven years [36] Other Important Information - The company has donated over 3.4 billion meals through its Zero Hunger, Zero Waste plan, showcasing its commitment to community support [38] - The board of directors expressed confidence in the company's strategy through the approved dividend increase [39] Q&A Session Summary Question: Update on the CEO search - The board has a search committee in place working with a recognized search firm, while the current CEO remains committed to leading during the transition [48] Question: Raising employee wages in line with cost of living - The company has invested $2.4 billion in wages since 2018, resulting in a 38% increase in average hourly store wages [49] Question: Pricing strategies in a competitive environment - The company is focused on lowering prices to attract customers, having reduced prices on over 2,000 products in the first quarter [52] Question: Store plans and future growth - The company is on track to complete 30 store projects in 2025 and plans to close approximately 60 underperforming stores, reallocating resources to new store growth [55] Question: Approach to customer health data requests - The company prioritizes customer trust and has a team ensuring compliance with data protection laws [56] Question: Justification of executive pay ratios - Compensation is based on various factors, and the company continues to invest in associates' wages and benefits [58] Question: Board's stance on supporting farm workers - The company believes its existing standards for suppliers make the shareholder proposal unnecessary [60] Question: Impact of proposed changes to SNAP on sales - The company is prepared to navigate changes to the SNAP program without expecting a significant impact on sales [61] Question: Alignment of waste reduction vision with cigarette waste proposal - The company views the cigarette waste proposal as redundant given its existing waste reduction commitments [63] Question: Thoughts on changing tariff situations - The company is monitoring tariff changes and is prepared to manage any potential cost impacts [65]

Core Viewpoint - ByteDance, as a leading global technology company, recognizes the need to enhance its internal supervision mechanisms following the Seed incident, which exposed management and compliance issues, emphasizing the importance of compliance for sustainable development [1][5]. Group 1: Governance Structure - Strengthening the corporate governance structure is the primary step for ByteDance to improve its internal supervision mechanisms, ensuring transparency in decision-making and reducing risks associated with power concentration [3]. - The company has clarified the responsibilities of management and established specialized committees, such as the audit committee and compliance committee, to oversee critical areas like financial auditing and risk assessment [3]. Group 2: Data Privacy and Security - ByteDance is enhancing data privacy protection and information security as part of its internal supervision improvements, addressing vulnerabilities in user data management revealed by the Seed incident [3]. - The company plans to establish a dedicated data security department and implement advanced encryption technologies and data auditing mechanisms to ensure user data safety and privacy [3]. Group 3: Corporate Culture - Building a strong corporate culture is crucial for ByteDance to enhance its internal supervision mechanisms, focusing on compliance culture and raising employees' legal awareness [5]. - The company is increasing compliance training, particularly for departments handling data security and information processing, to ensure employees remain sensitive to compliance issues [5]. Group 4: Technological Innovation - ByteDance is leveraging artificial intelligence (AI) and blockchain technology to improve internal supervision, with AI algorithms monitoring operational data in real-time to detect potential compliance issues [7]. - Blockchain technology is being introduced in key business processes to ensure transparency and traceability in data management, particularly in financial transactions and supply chain management [7]. Group 5: External Collaboration - The company is enhancing collaboration with external audit firms to conduct regular third-party audits, ensuring the effectiveness of its internal supervision mechanisms [9]. - ByteDance is also focusing on communication and cooperation with external regulatory bodies to ensure compliance with global regulations, which is crucial for its market expansion [9]. Group 6: Future Outlook - The Seed incident has prompted ByteDance to view the enhancement of its internal supervision mechanisms as an opportunity, laying a solid foundation for future development through governance improvements, data security, technological innovation, and compliance culture [9].

XIAMEN JIHONG CO., LTD 廈門吉宏科技股份有限公司 股份代號: 2603 （於中華人民共和國註冊成立的股份有限公司） 全球發售 聯席保薦人、保薦人兼整體協調人、 聯席全球協調人、聯席賬簿管理人及聯席牽頭經辦人 （按英文字母順序排列） 聯席全球協調人、聯席賬簿管理人及聯席牽頭經辦人 （按英文字母順序排列） 廈門吉宏科技股份有限公司 重要提示 重要提示： 閣下如對本招股章程的任何內容有任何疑問，應徵詢獨立專業意見。 Xiamen Jihong Co., Ltd 廈門吉宏科技股份有限公司 （於中華人民共和國註冊成立的股份有限公司） 全球發售 | 全球發售的發售股份數目 : 67,910,000股H股 | | | --- | --- | | : 香港發售股份數目 6,791,000股H股（可予重新分配） | | | 國際發售股份數目 : 61,119,000股H股（可予重新分配） | | | 最高發售價 : | 每股H股10.68港元（另加1%經紀佣金、 | | | 0.0027%證監會交易徵費、0.00015%會財局 | | | 交易徵費及0.00565%聯交所交易費，須於 | | | 申請時以 ...

Group 1 - The "Nansha Financial 30 Measures" aims to enhance financial support for Nansha, positioning it as a key financial hub in the Guangdong-Hong Kong-Macao Greater Bay Area [1][2] - The measures focus on financial market connectivity, cross-border financial innovation, and regulatory improvements, emphasizing innovation, characteristics, openness, and regulation [1] - Nansha's financial sector has evolved into a pillar industry, with the new measures expected to broaden and deepen its financial landscape [1] Group 2 - The China Import Consumer Price Index, the first of its kind, was released, reflecting price fluctuations in imported consumer goods across various categories [3] - In March, the index showed a month-on-month increase of 7.2% and a year-on-year increase of 5.2%, indicating a dual growth trend [3][4] - The index will aid in assessing input inflation and understanding domestic demand dynamics [3][4] Group 3 - In April, U.S. customs tariff revenue reached a record high of $16.3 billion, marking a 130% increase year-on-year [5][6] - Despite the increase in tariff revenue, it remains a small portion of the overall federal budget, with ongoing trade negotiations potentially limiting future revenue growth [6][7] Group 4 - Chongqing Jinke's judicial restructuring plan was approved, marking the largest restructuring case in the real estate sector with a debt scale of 147 billion yuan [8][9] - The restructuring involved strategic investors and highlighted the challenges faced by real estate companies amid market demand decline [8][9] Group 5 - Taobao introduced a feature allowing merchants to screen out high refund rate customers, aimed at optimizing the e-commerce environment [10][11] - This move reflects ongoing efforts to balance merchant and consumer interests, particularly in the high-return apparel sector [10][11] Group 6 - Dior experienced a data breach affecting customer information, raising concerns about data privacy and security in the retail sector [12][13] - The incident underscores the vulnerability of even high-profile brands in protecting sensitive customer data [12][13] Group 7 - The wholesale price of crayfish has significantly dropped as the consumption season begins, with prices falling from around 42-43 yuan per kilogram to approximately 38 yuan [14] - This price adjustment reflects increased supply and changing consumer preferences in the seafood market [14][15]

Core Insights - The rapid development of Generative AI (GenAI) is transforming traditional cultural education, particularly in higher education, by shifting from standardized teaching to a co-creative and immersive learning model [1][10]. Group 1: Course Design Innovation - Generative AI is reshaping the teaching design logic of the "Introduction to Chinese Culture" course by embedding intelligent technology, creating a student-centered and culturally immersive learning experience [2]. - Technologies like Virtual Reality (VR) and Augmented Reality (AR) convert abstract cultural symbols into interactive experiences, enhancing students' understanding of complex cultural concepts [2][4]. - AI-driven personalized learning materials are generated based on real-time analysis of student data, allowing for dynamic optimization of course content to meet diverse student needs [3]. Group 2: Teaching Methodology Transformation - The integration of Generative AI promotes a shift from traditional teacher-led instruction to a collaborative human-machine interaction model, redefining classroom dynamics and roles [5]. - Students become active knowledge creators through AI platforms that facilitate discussions and debates, enhancing critical thinking and engagement with the material [5][6]. - Teachers transition to roles as learning experience designers and value guides, focusing on facilitating human-AI collaboration rather than solely delivering content [6][7]. Group 3: Ethical and Cultural Challenges - The application of Generative AI raises ethical concerns, particularly regarding data privacy and academic integrity, necessitating robust regulatory frameworks [8]. - There is a risk of cultural interpretation homogenization due to AI's reliance on high-frequency vocabulary, which may oversimplify complex philosophical concepts [9]. - To address these challenges, a collaborative mechanism between human experts and AI is proposed to ensure diverse cultural interpretations and maintain the depth of traditional cultural education [9][10].