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高盛:用友网络-人工智能推动客户支出及内部效率提升;大型客户业务将逐季复苏
Goldman Sachs· 2025-07-11 01:13
Investment Rating - The report maintains a Neutral rating for Yonyou with a 12-month target price of Rmb13.37, indicating a potential upside of 2.1% from the current price of Rmb13.09 [9][8]. Core Insights - Yonyou management anticipates a sequential recovery in client spending, particularly from mid to large-scale clients, following a challenging first quarter where revenues declined by 21% year-over-year [1][2]. - The company is focusing on AI-driven solutions to enhance internal efficiency and client decision-making, with new AI agents under development to improve productivity [1][3]. - The shift to a subscription model is expected to lower clients' total costs, which may support revenue recovery in the upcoming quarters [2][1]. Summary by Sections 1. Enterprise Clients' IT Spending Outlook - Despite ongoing macroeconomic challenges, there remains a demand for enterprise cloud platforms and new AI features among clients, who are seeking solutions with a better price-to-performance ratio [2]. - Yonyou's revenues in the first quarter of 2025 were down 21% year-over-year, but management expects improvement in the second quarter, supported by order recovery and a 25% year-over-year increase in contract liabilities to Rmb2.3 billion [2][1]. 2. Gen-AI and AI Agent Monetization - Yonyou has initiated AI monetization, charging clients Rmb100,000 or more per year for modular services, and is offering customized solutions based on in-house data for large-scale clients [3]. - The introduction of AI Copilot and AI Agent tools aims to assist management in decision-making and reduce time spent on repetitive tasks, thereby enhancing overall efficiency [3]. 3. Headcount Outlook and Efficiency Improvement - The total number of employees at Yonyou decreased from approximately 23,000 at the end of 2024 to around 21,000 by the end of the first quarter of 2025, with expectations for headcount to remain stable [4]. - Management is focused on improving revenue per employee and leveraging AI tools for specific tasks, which is anticipated to enhance profitability in the long term [4][7].