上海钢联(300226) - 上海钢联投资者关系活动记录表20250828

Group 1: Financial Performance - In the first half of 2025, the company achieved operating revenue of CNY 34.391 billion, with a net profit attributable to shareholders of CNY 118 million, and a net cash flow from operating activities of CNY 330 million [2][3] - Revenue from industrial data services was CNY 366.442 million, a decrease of 3.91% year-on-year, while overseas service revenue increased by 9.7% to CNY 23.181 million [3] - The steel trading service subsidiary, Steel Silver E-commerce, reported a settlement volume of 25.5214 million tons, down 20.69% year-on-year, but net profit attributable to shareholders rose by 47.13% to CNY 152.4015 million [3] Group 2: Business Strategy and Market Position - The company is focusing on deepening its overseas expansion strategy, with Singapore as the headquarters and plans to enhance its index business in overseas markets [4] - The company aims to strengthen its data service offerings in Southeast Asia, leveraging the "Belt and Road" initiative to support local user needs [4] - The shift from "land grabbing" to "deep cultivation" of large customer data needs is expected to enhance profitability and service quality [6][7] Group 3: Technology and Innovation - The "Little Steel" digital assistant has been launched across multiple channels, improving operational efficiency and market competitiveness [3][8] - The integration of AI technology with the EBC platform is being explored to enhance user engagement and service quality [8] - The company is focusing on optimizing AI training data quality to improve model performance [8] Group 4: Challenges and Future Outlook - The decline in platform settlement volume is attributed to falling steel prices, which have reduced trading willingness among steel traders [9] - The company anticipates that the trend of "anti-involution" will accelerate industry consolidation, benefiting larger enterprises with stronger purchasing power for data services [6][7] - Data subscription services are expected to evolve slowly, requiring a focus on expanding data variety and quality to meet the demands of large enterprises [9][10]