Core Viewpoint - Tianrun Cloud (02167) anticipates a revenue of approximately RMB 268 million for the six months ending June 30, 2025, representing a growth of about 13% compared to RMB 236.2 million for the same period ending June 30, 2024. The net profit is expected to be around RMB 27 million, which is an increase of over 90% from RMB 13.9 million for the same period in 2024 [1]. Revenue Growth - The expected revenue growth is attributed to an increase in income from SaaS solutions, driven by enhancements in the company's AI product offerings, which have improved features and capabilities to attract new customers [1]. Profit Improvement - The anticipated net profit increase is linked to effective optimization of the company's R&D processes through AI technology, which has improved efficiency and production capacity [1].

香港交易及結算所有限公司及香港聯合交易所有限公司對本公告的內 容 概 不 負 責，對 其 準 確 性 或 完 整 性 亦 不 發 表 任 何 聲 明，並 明 確 表 示，概 不對因本公告全部或任何部分內容而產生或因倚賴該等內容而引致的 任 何 損 失 承 擔 任 何 責 任。 正面盈利預告 本公告由 天潤雲 股 份 有 限 公 司（「本公司」，連 同 其 子 公 司 及 綜 合 聯 屬 實 體 統 稱「本集團」）根 據 香 港 聯 合 交 易 所 有 限 公 司 證 券 上 市 規 則（「上市規則」） 第13.09(2)(a)條及香港法例第571章證券及期貨條例第XIVA部項下之內幕 消 息 條 文（定 義 見 上 市 規 則）作 出。 本 公 司 董 事（「董 事」，各 稱 為「董 事」）會（「董事會」）謹 此 告 知 本 公 司 股 東（「股 東」）及 有 意 投 資 者，根 據 其 對 本 集 團 截 至2025年6月30日 止 六 個 月（「報 告 期」）的 未 經 審 核 綜 合 管 理 賬 目 的 初 步 審 閱 及 現 時 可 得 的 其 他 資 料，預 期 本集團(i)於報告期錄得收入約人民幣 ...

Core Insights - The introduction of AI Agents in customer service addresses long-standing challenges such as high labor costs, limited service hours, and inconsistent service quality, leading to more efficient and personalized customer interactions [1] - The unique value of AI Agents lies in their ability to continuously improve through the accumulation of vast interaction data, enabling them to learn from each customer interaction [2][4] - AI Agents utilize dynamic knowledge graphs and ongoing fine-tuning of large language models (LLMs) to ensure they provide the most relevant and up-to-date information [3] Industry Developments - The market for AI Agents in customer service is rapidly growing, driven by clear pain points, significant commercial value, and measurable ROI [1] - AI Agents are capable of recognizing deep patterns in customer behavior, allowing for proactive management of potential issues before they arise [4] - The collaboration between AI Agents and human customer service representatives enhances the learning process, ensuring that AI systems evolve effectively [4] Company Performance - Tianrun Cloud, a leading SaaS provider in the customer contact field, has reported revenues exceeding 500 million and holds over 50% market share in several niche customer industries [5][6] - The company has experienced over 70% growth in AI product-related revenue over the past two years, indicating strong market demand for its AI solutions [6] - Tianrun Cloud has successfully implemented multiple AI Agent use cases in specific service scenarios, demonstrating the capability of AI to replace human roles in certain end-to-end business processes [6]

Group 1: AI Agent in Customer Service - The introduction of AI Agents addresses traditional customer service challenges such as high labor costs, limited service hours, and inconsistent service quality, leading to more efficient and personalized customer interactions [1][2] - AI Agents leverage vast and continuously growing interaction data to improve their performance, utilizing mechanisms like reinforcement learning and feedback loops to learn from each customer interaction [1][3] - The dynamic updating of knowledge graphs and continuous fine-tuning of large language models (LLMs) enhance the AI Agents' ability to provide accurate and relevant information in real-time [2][3] Group 2: Company Overview - Tianrun Cloud - Tianrun Cloud, a leading SaaS provider in the customer contact field, has achieved over 500 million in revenue and holds more than 50% market share in several niche customer industries [4] - The company has experienced over 70% growth in AI product-related revenue over the past two years, indicating strong market demand for its AI solutions [4] - Tianrun Cloud has successfully implemented various AI Agent use cases, such as intelligent return and exchange agents and fault diagnosis agents, demonstrating the capability of AI to replace human roles in specific workflows [4][5] Group 3: Future Outlook - The company is positioned to capitalize on the evolving market by focusing on industry-specific AI solutions that meet customer needs, which is essential for gaining market recognition [5] - The transition from traditional call center operations to a full-cycle cloud contact center reflects the company's adaptability to industry changes and technological advancements [5]

Summary of Tianrun Cloud Conference Call Company Overview - Tianrun Cloud is an AI-driven full-cycle customer contact SaaS platform with over 60% of its workforce being technical staff, focusing on AI optimization in customer contact across industries such as technology, automotive, and insurance, holding over 50% market share in these sectors [2][6][8]. Financial Performance - In 2024, Tianrun Cloud signed over 200 new quality clients, achieving a customer retention rate of over 110%, the highest in five years. Revenue grew by 13.3% to 506 million yuan, while gross profit increased by 22% to 260 million yuan, with a gross margin surpassing 50% for the first time at 51.8% [2][15]. - The company reported a net profit margin of 6.7% and a significant improvement in operating cash flow [2][18]. Business Structure - The business is primarily divided into SaaS services that empower people (approximately 90% of revenue) and AI products that replace human labor (around 5%) [17]. - The company has over 4,000 clients across various industries, with a long-term retention rate expected to stabilize around 100% [15]. Industry Dynamics - The customer contact industry has undergone significant changes, including a shift from local deployment to cloud models and the expansion from single-channel to multi-channel approaches. However, Chinese companies missed opportunities during the multi-channel development phase due to price competition [7][10]. - The industry is currently in a consolidation phase, with increased supplier concentration and higher customer expectations regarding supplier qualifications and product capabilities [20]. AI Developments - Tianrun Cloud launched the Weiteng large language model in 2023 and upgraded its intelligent agent platform in 2024. Currently, about 10% of clients use AI products, with less than 5% utilizing the AI agent platform [2][16]. - The company is focusing on defining scenarios and collaborating with clients to develop intelligent agent platforms for various applications, including troubleshooting and appointment scheduling [12][24]. Risks and Challenges - The primary risk in the customer contact industry is the rapid technological and scenario changes, which can lead to the emergence of new companies and the potential elimination of older firms unable to adapt [9]. - The low pricing of multi-channel products has hindered the industry's sales scale, posing challenges for many companies [10]. Future Outlook - Tianrun Cloud aims for a profit margin of 8% in 2025 and a long-term target of 10%, contingent on the value provided by AI agent products and internal efficiency improvements [25]. - The company plans to expand internationally, focusing on Europe and Southeast Asia, while ensuring compliance with local data regulations [26][27]. Investment and Returns - The company has a history of providing returns to investors through dividends and plans to continue this policy moving forward [29].

FF301 致：香港交易及結算所有限公司 公司名稱: 天润云股份有限公司（於開曼群島註冊成立的有限公司） 呈交日期: 2025年8月4日 I. 法定/註冊股本變動 | 1. 股份分類 | 普通股 | 股份類別 | 不適用 | | 於香港聯交所上市 (註1) | | | 是 | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 證券代號 (如上市) | 02167 | 說明 | | | | | | | | | | | 法定/註冊股份數目 | | | 面值 | | | 法定/註冊股本 | | | 上月底結存 | | | 500,000,000 | USD | | 0.0001 | USD | | 50,000 | | 增加 / 減少 (-) | | | 0 | | | | USD | | | | 本月底結存 | | | 500,000,000 | USD | | 0.0001 | USD | | 50,000 | 本月底法定/註冊股本總額： USD 50,000 第 1 頁 共 10 頁 v 1.1.1 股份發行人及根據《上市規則》 ...

52周新低排行 智通财经APP获悉，截止8月1日收盘，有59只股票创52周新高，其中中证国际股权(02912)、中国新城市 (01321)、天润云(02167)创高率位于前3位，分别为144.83%、107.87%、43.79%。 52周新高排行 股票名称 收盘价 最高价 创高率 中证国际股权(02912) 0.058 0.071 144.83% 中国新城市(01321) 1.400 1.850 107.87% 天润云(02167) 6.510 7.520 43.79% 怡俊集团控股(02442) 1.920 2.350 38.24% 大悦城地产 (00207) 0.540 0.550 37.50% HOME CONTROL(01747) 3.810 3.870 25.65% PACIFIC LEGEND(08547) 0.255 0.265 22.69% 星亚控股(08293) 0.159 0.165 13.01% 瑞和数智(03680) 2.060 2.260 13.00% 联康生物科 技集团(00690) 0.150 0.160 11.11% 有线宽频(01097) 0.058 0.060 11.11% ...

Core Viewpoint - As of July 18, 160 stocks reached their 52-week highs, with notable performances from China New Economy Investment (00080), Aoyuan Group Equity (02905), and Zhong An Holdings Group (08462) showing high growth rates of 288.89%, 55.28%, and 50.00% respectively [1][2]. Summary by Category 52-Week High Performers - China New Economy Investment (00080) closed at 0.440, with a peak price of 0.700, achieving a growth rate of 288.89% [2]. - Aoyuan Group Equity (02905) closed at 0.218, with a peak price of 0.250, achieving a growth rate of 55.28% [2]. - Zhong An Holdings Group (08462) closed at 0.221, with a peak price of 0.228, achieving a growth rate of 50.00% [2]. - Other notable performers include Hualian International (00969) with a growth rate of 40.13% and Zhongke Bio (01237) with a growth rate of 37.25% [2]. Additional High Performers - Wanma Holdings (06928) closed at 0.550 with a growth rate of 30.43% [2]. - Lepu Biopharma-B (02157) closed at 7.940 with a growth rate of 24.54% [2]. - Other stocks with significant growth include ZhiJianYueDong (06860) at 17.14% and China Jindian Group (08281) at 17.12% [2]. 52-Week Low Performers - The document also lists stocks that reached their 52-week lows, with XI Ernan CO-U (09311) showing a decline of 16.10% [6]. - Other notable declines include XI Ernan CO (07311) at -12.62% and Haotian International Construction Investment (01341) at -5.70% [6].

Core Insights - The event "Sailing Towards AI with Change Makers" hosted by Tianrun Rongtong highlighted the transformative power of AI in various industries, emphasizing the shift towards AI-driven organizational restructuring and growth [1][12] - AI Agents are becoming the core force driving future organizational changes, transitioning from a human-led to an AI-led operational model [5][12] AI Transformation Framework - Tianrun Rongtong outlined a six-step framework for AI transformation: 1. Customer-centric digital connections to form a closed loop 2. Preparation of exclusive knowledge 3. Identification and cultivation of super contributors who understand both business and AI 4. Gradual optimization and restructuring of organizational processes 5. Prioritization of scenarios that can be closed-loop solved 6. Continuous operational optimization focused on results [5][7] AI Agent Capabilities - AI Agents possess multi-modal recognition, knowledge retrieval, content generation, information collection, API/MCP interaction, and deep reasoning capabilities, aimed at independently solving problems across various key scenarios [7][10] - In product troubleshooting, AI Agents can guide users remotely to resolve issues, significantly reducing on-site service costs [7] - In sales recommendation, AI Agents can accurately identify customer intent and generate personalized recommendations, enhancing conversion efficiency across industries like automotive and finance [7][10] Automotive Industry Applications - The application of large model technology in the automotive sector has shifted from a "technical hype" phase to a "rational landing" phase, focusing on integrating capabilities with specific business scenarios [8][10] - Tianrun Rongtong has developed a comprehensive solution covering the entire customer lifecycle in the automotive industry, enhancing lead response efficiency and optimizing customer communication experiences [10] Future Directions - Tianrun Rongtong aims to deepen AI application scenarios, co-create AI capabilities with clients, and evolve AI Agents from tools to partners, driving organizational efficiency transformation [12][13]

Summary of Key Points Core Viewpoint - On June 12, 24 Hong Kong-listed companies conducted share buybacks totaling 9.0657 million shares, with a total buyback amount of 570 million HKD, indicating a strong trend in share repurchase activity among these companies [1][2]. Group 1: Company Buyback Details - Tencent Holdings repurchased 975,000 shares for a total of 500 million HKD, with a highest price of 518.000 HKD and a lowest price of 508.000 HKD, bringing its total buyback amount for the year to 30.535 billion HKD [1][2]. - AIA Group repurchased 650,000 shares for 44.9605 million HKD, with a highest price of 69.600 HKD and a lowest price of 68.750 HKD, accumulating a total buyback amount of 12.627 billion HKD for the year [1][2]. - J&T Express-W bought back 1.15 million shares for 7.765 million HKD, with a highest price of 6.780 HKD and a lowest price of 6.690 HKD, totaling 269.17 million HKD in buybacks for the year [1][2]. Group 2: Buyback Volume Rankings - The highest number of shares repurchased on June 12 was by Zhou Hei Ya, which bought back 1.621 million shares, followed by China Xuyang Group with 1.322 million shares and J&T Express-W with 1.15 million shares [1][2]. - In terms of buyback amounts, Tencent Holdings led with 500 million HKD, followed by AIA Group with 44.9605 million HKD, and J&T Express-W also featured prominently [1][2].