Core Viewpoint - The report from Zhongtai Securities maintains a "buy" rating for Mingyuan Cloud (00909), forecasting revenue for 2025-2027 to be 1.318 billion, 1.271 billion, and 1.266 billion yuan respectively, with net profit attributable to the parent company at 18 million, 30 million, and 44 million yuan respectively [1] Revenue Performance - In H1 2025, the company achieved revenue of 606 million yuan, a year-on-year decline of 15.9%, primarily due to the ongoing downturn in the downstream real estate and construction industries [1] - The customer relationship management product line generated revenue of 383 million yuan in H1 2025, down 13.1% year-on-year, with the main product, Cloud Customer, achieving revenue of 377 million yuan, a smaller decline of 5.1% [1] - The average customer unit price for Cloud Customer in H1 2025 was 37,700 yuan per unit, reflecting a 2.4% increase year-on-year, driven by increased procurement of AI-related products [1] Cost Control and Profitability - The company has implemented lean operations to reduce costs and improve efficiency, particularly through the use of AI tools in customer service and R&D [2] - In H1 2025, sales, management, and R&D expenses were 317 million, 61 million, and 205 million yuan respectively, showing year-on-year decreases of 22.2%, 56.5%, and 19.4% [2] - The effective control of expenses and improved operational efficiency led to a net profit attributable to the parent company of 13.75 million yuan in H1 2025, with adjusted net profit at 33.12 million yuan, both reflecting a turnaround from losses [2] Business Outlook - For H2 2025, the company plans to focus on core products and key clients in the domestic market to enhance profitability, while reducing reliance on residential developers [3] - The company aims to increase investment in overseas markets, particularly in the Middle East and Europe, and establish localized teams to accelerate international expansion [3] - The strategy includes accelerating AI and SaaS product innovation, prioritizing the integration of AI technology with real estate business scenarios, and exploring usage-based business models [3] - The company will continue to optimize resource and talent allocation to enhance operational efficiency, applying AI tools across all functions [3]