Core Viewpoint - Kingdee has successfully completed its cloud transformation, with cloud services projected to account for 82% of its business by 2024, achieving a compound annual growth rate of 31% over the past decade. The company is now transitioning into the AI era of enterprise management software, officially rebranding "Kingdee Cloud" to "Kingdee AI" [1]. Group 1: Transformation Strategy - Kingdee's CEO Xu Shaochun outlined a strategy involving seven transformations: 1. Operations shifting from daily tasks to strategic execution, focusing on urgent strategic priorities 2. Products evolving from traditional functionalities to intelligent systems with self-perception and decision-making capabilities 3. Business models transitioning from product sales to subscription or outcome-based pricing 4. Ecosystems moving from transaction-oriented to continuous intelligent symbiosis 5. Organizational structures transforming into neural network types to enhance decision-making efficiency 6. Talent competition shifting from quantity to high-density, focusing on young talents skilled in AI and innovation 7. Leadership evolving from tangible to intangible, emphasizing emotional value and motivation over control [2]. Group 2: AI Product Development - Kingdee has launched several AI products, including the enterprise-level AI native entry "Kingdee Xiao K," which serves as a platform for interconnected intelligent agents. Currently, nearly 20 intelligent agents are available, such as gross profit analysis and ESG agents, which are ready for immediate use [3]. - The company is exploring pricing models for AI applications, currently favoring organization size and usage-based pricing, similar to its cloud services, while also considering prepaid options. The overall cost for businesses is expected to decrease as AI applications become more integrated [3]. Group 3: Financial Performance and Future Outlook - Kingdee reported total revenue of 3.192 billion yuan, an 11% year-on-year increase, with cloud subscription revenue contributing 1.684 billion yuan, up 22%. The net loss narrowed by 55% to approximately 98 million yuan [4]. - The company aims to achieve profitability in 2025, with a target for AI revenue to reach or exceed 30% by 2030, indicating a significant focus on AI and SaaS integration in the coming decade [4].
金蝶全面转向AI 徐少春称要完成“七个转型”