FF305 翌日披露報表 (股份發行人 ── 已發行股份或庫存股份變動、股份購回及/或在場内出售庫存股份) 表格類別： 股票 狀態： 新提交 公司名稱： 多点数智有限公司 呈交日期： 2026年1月27日 如上市發行人的已發行股份或庫存股份出現變動而須根據《香港聯合交易所有限公司（「香港聯交所」）證券上市規則》(「《主板上市規則》」)第13.25A條 / 《香港聯合交易所有限公司GEM證券 上市規則》(「《GEM上市規則》」)第17.27A條作出披露，必須填妥第一章節 。 FF305 | | | 第 2 頁 共 7 頁 v 1.3.0 FF305 確認 根據《主板上市規則》第13.25C條 / 《GEM上市規則》第17.27C條，我們在此確認，據我們所知所信，第一章節所述的每項股份發行或庫存股份出售或轉讓已獲發行人董事會正式授權批准，並遵 照所有適用上市規則、法律及其他監管規定進行，並在適用的情況下： | 第一章節 | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1. 股份分類 | 普通股 | 股份類別 | ...

格隆汇1月26日丨多点数智(02586.HK)公告，1月26日耗资198.7万港元回购23.3万股。 ...

智通财经APP讯，多点数智(02586)发布公告，于2026年1月26日该公司斥资198.72万港元回购23.3万股， 回购价格为每股8.38-8.67港元。 ...

FF305 翌日披露報表 (股份發行人 ── 已發行股份或庫存股份變動、股份購回及/或在場内出售庫存股份) 表格類別： 股票 狀態： 新提交 公司名稱： 多点数智有限公司 呈交日期： 2026年1月26日 如上市發行人的已發行股份或庫存股份出現變動而須根據《香港聯合交易所有限公司（「香港聯交所」）證券上市規則》(「《主板上市規則》」)第13.25A條 / 《香港聯合交易所有限公司GEM證券 上市規則》(「《GEM上市規則》」)第17.27A條作出披露，必須填妥第一章節 。 | 第一章節 | | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1. 股份分類 | | 普通股 | 股份類別 | 不適用 | | | 於香港聯交所上市 | 是 | | | | 證券代號 (如上市) | | 02586 | 說明 | | | | | | | | | A. 已發行股份或庫存股份變動 | | | | | | | | | | | | | | | | 已發行股份（不包括庫存股份）變動 | | | 庫存股 ...

多点数智 20260125 摘要 多点 Dmall 提供 AI 零售解决方案和 AI 增值服务，前者为 SaaS 软件模 块，覆盖供应链、门店经营和会员管理，毛利率超 70%，占收入 50%；后者为软硬件加人工交付模式，应用于防损、自助收银等场景， 毛利率约 14%，占比 50%。 公司客户主要为国内外头部零售集团，包括物美、中百、胖东来、 711、罗森等，以及香港 DSI 集团、菲律宾 SM 集团、新加坡 Cold Storage 集团等，客户年均销售额在 5 亿元以上，拥有较多分店。 公司净收入留存率连续多年保持在 100%以上，2025 年上半年为 107%，表明客户认可度高，持续续费和增购。2025 年上半年关联方收 入占比 73%，其中 SaaS 业务关联方占比降至 50%，AI 增值服务关联 方占比较高但呈下降趋势。 与胖东来的合作是公司重要标杆案例，多点为其提供线上商品、会员模 块及核心业务系统 OOS，并计划上线交通运输管理系统，每年贡献数百 万订阅收入，吸引其他企业效仿。 Q&A 公司基本情况及发展历程如何？ 亚洲零售 SaaS 市场增长空间巨大，2024-2029 年预计增长接近 30%， ...

Group 1 - The MINDS 2025 project, initiated by the World Economic Forum, recognizes leading AI solutions that have been deployed at scale in real business environments, with Multi-Point Intelligence being the only retail company selected for its AI innovations in the retail sector [1][3] - Multi-Point Intelligence showcased its AI applications in retail operations using the Beijing Wumart store as a case study, integrating AI capabilities such as product selection, clearance, inspection, and loss prevention into daily operations [3] - The company aims to transform retail operations from relying on human experience to a data-driven, intelligent collaboration model, thereby enhancing operational efficiency and reducing costs [3] Group 2 - The MINDS 2025 project includes participants from various key sectors such as information technology, energy, healthcare, finance, and manufacturing, featuring renowned companies like AMD, Siemens, and Ant Group, highlighting the significance of retail as a frontier for AI applications [1][3] - Multi-Point Intelligence's selection for the MINDS 2025 project not only affirms its technological strength and innovative achievements but also emphasizes the retail industry's role in creating economic value and promoting sustainable development through applied AI [3]

Core Insights - The World Economic Forum's 2026 Annual Meeting highlighted AI as a significant topic, with Chinese companies exemplifying successful AI applications [1] Group 1: AI Application Cases - A report by the World Economic Forum and Accenture identified 32 "AI application stars," with 15 cases from China, surpassing other countries [2] - The sectors represented by the Chinese cases include energy management (4), battery manufacturing (3), global health and medical (2), financial services (1), retail and consumer goods (1), chemical and scientific discovery (1), engineering and infrastructure (1), and advanced manufacturing (2) [2][4] Group 2: Energy Management Sector - In energy management, notable cases include: - Hongzhi Data Science and Dadi Quantum's AI weather prediction system, enhancing market prediction efficiency by 50,000 times [4] - Beijing Low Carbon Clean Energy Research Institute's integration of large models and time series forecasting, achieving a 95% reduction in energy consumption [4] - China Huaneng Group's AI monitoring system, improving defect detection accuracy by 90% [4] - State Grid Corporation's real-time AI coordination platform, enabling sub-minute control for over 15,000 users [4] Group 3: Battery Manufacturing Sector - In battery manufacturing, key contributions from CATL include: - A mixed AI system developed with Amperex Technology, reducing quality fluctuations by 50% and halving operator workload [5] - An automated design process for battery cells that shortens prototype development time by nearly half [5] - Tsinghua University and E-Lai Kede's use of physical-level AI simulation, compressing battery development cycles from years to weeks and reducing waste by 40% [5] Group 4: Healthcare and Financial Services - In healthcare, Ant Group's multi-modal AI health platform has been implemented in over 5,000 institutions, achieving over 90% diagnostic accuracy and an 80% increase in clinical research efficiency [6] - In financial services, Industrial and Commercial Bank of China deployed a financial model with 100 billion parameters, resulting in a profit increase of 500 million yuan and automating millions of daily decisions [6] Group 5: Retail, Chemical, and Infrastructure - In retail, Wumart Group and Duodian Smart integrated AI to optimize pricing and reduce product loss [6] - In chemical and scientific discovery, Deep Principles automated over half of material simulation processes, lowering experimental costs and shortening R&D cycles [6] - In engineering and infrastructure, Lenovo's AI coordination improved logistics accuracy by 30% and provided up to two weeks of advance warning for potential disruptions [6] Group 6: Advanced Manufacturing Sector - In advanced manufacturing, Foxconn and Boston Consulting deployed an AI ecosystem that automated 80% of decision-making processes, generating approximately $800 million in value [7] - Black Lake Technology established an AI-scheduled manufacturing platform, increasing factory utilization to 83% and reducing energy consumption by 18% [7]

Group 1 - The company, Multi-Point Intelligence (02586), announced a share buyback plan, intending to repurchase 110,000 shares at a cost of approximately HKD 942,100 [1] - The buyback is scheduled to take place on January 21, 2026 [1] - This move indicates the company's strategy to enhance shareholder value through share repurchase [1]

Group 1 - The company, Multi-Point Intelligence (02586.HK), announced a share buyback on January 21, spending HKD 942,000 to repurchase 110,000 shares [1] - On January 20, the company also conducted a buyback, spending HKD 2,093,000 to repurchase 248,500 shares [1]

FF305 確認 根據《主板上市規則》第13.25C條 / 《GEM上市規則》第17.27C條，我們在此確認，據我們所知所信，第一章節所述的每項股份發行或庫存股份出售或轉讓已獲發行人董事會正式授權批准，並遵 照所有適用上市規則、法律及其他監管規定進行，並在適用的情況下： (註7) 翌日披露報表 (股份發行人 ── 已發行股份或庫存股份變動、股份購回及/或在場内出售庫存股份) 表格類別： 股票 狀態： 新提交 公司名稱： 多点数智有限公司 呈交日期： 2026年1月21日 如上市發行人的已發行股份或庫存股份出現變動而須根據《香港聯合交易所有限公司（「香港聯交所」）證券上市規則》(「《主板上市規則》」)第13.25A條 / 《香港聯合交易所有限公司GEM證券 上市規則》(「《GEM上市規則》」)第17.27A條作出披露，必須填妥第一章節 。 | 第一章節 | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | 1. 股份分類 | 普通股 | 股份類別 | 不適用 | | 於香港聯交所上市 | 是 | | | 證券代號 (如上市) | ...