新浪科技讯 10月20日上午消息，杭州端点网络科技有限公司（简称"端点科技"）日前发布AI原生 ERP，展示了以AI原生重构的ERP 在技术创新、核心能力和行业价值上的划时代突破。据悉，该AI原 生ERP基于端点科技自主研发的Trantor平台打造，可将复杂业务能力标准化、元数据化，促使其真正高 效、灵活地为企业构建出ERP、数字化采购等大型企业应用，并无缝衔接AI智能体作为其执行任务 的"工具"。 "这款AI原生ERP，不仅仅是一款软件，更让企业的软件系统具备了被AI驱动的能力。"据端点科技创始 人&CEO赵沣伟表示，"我们希望将它打造成企业数字化的永续引擎，将用'智慧'定义系统的标准，让企 业每个战略都由AI支撑，每个执行都由AI驱动，推动企业迈进全面智慧化管理的新阶段"。 在ERP行业领域内，目前国内不仅已有金蝶、用友等上市公司，同时也有SAP等国际头部企业。此时推 出一款AI ERP还有市场机会吗？ 据端点科技透露，从2012年成立至今，公司成立的13年间，参与众多规模企业乃至上百家国内外500强 企业的大型系统重构，早在2018年，公司销售人员投入很少的情况下，便凭借强大产品实现了近亿元营 收，充分 ...

Core Insights - The ERP industry is facing significant disruption due to the rise of AI technologies, which are reshaping its structure, value, and competitive landscape [2][3][4] - ERP vendors must decide whether to adapt their existing systems or completely overhaul them to remain competitive in the AI era [2][6] ERP Challenges and Evolution - Traditional ERP systems are built on relational databases, leading to inefficiencies in handling unstructured data and a lack of agility [3][4] - The shift to cloud-native architectures and low-code/no-code platforms is seen as a solution to enhance flexibility and responsiveness to business changes [3][4] AI Integration in ERP - AI technologies are being integrated into ERP systems to enhance predictive analytics, automate process optimization, and improve data handling [4][5] - The introduction of AI is expected to transform ERP from a passive system to an active collaborator in business processes [7][8] AI-Native ERP Trends - AI-native ERP is emerging as a key trend, emphasizing an "AI-first" approach that integrates AI throughout the product architecture [6][7] - This approach allows for dynamic adaptation to changing business scenarios and enhances the overall user experience [6][7] Different AI Implementation Strategies - Major ERP players like SAP and Oracle are adopting a platform-empowerment strategy, embedding AI as an enhancement layer within existing architectures [8] - In contrast, companies like Kingdee and Yonyou focus on scenario-based AI integration, targeting specific business pain points for quick returns [9][10] Industry-Specific AI Applications - Vertical-focused ERP solutions, such as those from Dingjie and Infor, aim to integrate AI deeply into industry-specific processes, addressing unique decision-making challenges [10] - This specialization can create barriers to entry but may limit scalability across different industries [10] Future Competitive Landscape - The ability to manage and govern metadata effectively will be crucial for ERP vendors to support AI applications [12][13] - Companies that can translate management insights into actionable AI-driven decision-making will have a competitive edge [14] - The rise of domestic ERP solutions in China presents an opportunity for local vendors to capture market share as international firms adjust their strategies [14]

Core Viewpoint - Endpoint Technology has launched an AI-native ERP system aimed at redefining enterprise management paradigms, emphasizing the integration of AI to enhance operational efficiency and decision-making processes [2][5]. Group 1: Company Overview - Established in 2012, Endpoint Technology focuses on providing platform-based, end-to-end software solutions for various industries, helping businesses create innovative models and complete supply chain ecosystems [2][4]. - The company has served numerous Fortune 500 companies across sectors such as energy, retail, manufacturing, real estate, and finance, with clients including China National Offshore Oil Corporation, ExxonMobil, and Vanke [4]. Group 2: AI-native ERP Features - The new AI-native ERP encompasses multiple functional areas including planning, procurement, production, inventory, sales, and finance, facilitating broader ecosystem collaboration [2][4]. - The AI-native ERP is designed to be more than just software; it aims to empower enterprises with AI-driven capabilities, positioning itself as a perpetual engine for digital transformation [5]. Group 3: Technological Innovation - The core of the AI-native ERP is the proprietary Trantor platform, which standardizes complex business capabilities and integrates AI agents to execute tasks efficiently [6]. - The AI-native ERP is expected to evolve from a static process tool to an intelligent entity that can self-iterate and grow alongside the enterprise [6]. Group 4: Future Directions - Endpoint Technology plans to continue its focus on the research and application of enterprise-level AI-native technologies, exploring limitless AI applications across various verticals in collaboration with industry partners [6].