ZHI-TECH(SZ:300785)2025-04-30 13:53Group 1: Company Performance Overview - In 2024, the company achieved operating revenue of 1.55 billion yuan, a year-on-year increase of 15.18% [3] - The net profit attributable to shareholders was 75.24 million yuan, with a slight increase of 0.62% [3] - The net profit after deducting non-recurring gains and losses was 71.82 million yuan, reflecting a growth of 13.93% [3] - In Q4 2024, the net profit attributable to shareholders reached 71.44 million yuan, a significant increase of 17.7% compared to the previous quarters [3] Group 2: AI Strategy and Investment - The company launched its "Comprehensive AI" strategy in May 2024, with a total R&D investment of 182 million yuan, up 10.52% from the previous year [3] - AI investments accounted for 11.96% of total operating revenue [3] - The company aims to enhance its market competitiveness through the integration of AI technology into its business and management processes [3][20] Group 3: Product Development and Innovations - The "What’s Worth Buying GEN2" version is set to launch in May 2025, focusing on improving user-generated content quality [6][11] - The company is developing an independent Agent product to assist users in making purchases and tracking orders [8] - The AI tool "Magic Lamp Material Assistant" has been introduced to automate the generation of marketing materials, improving efficiency and reducing costs [21] Group 4: Market Expansion and Internationalization - The company plans to expand its international presence, targeting five countries by the end of 2025, primarily in Asia [13][22] - The first international site in Thailand has been established, with further partnerships in Indonesia planned [13][22] Group 5: Financial Efficiency and Cost Management - The sales expense ratio decreased in 2024 and Q1 2025 due to improved operational efficiency from AI applications [14] - The increase in contract liabilities in Q1 2025 was primarily due to a rise in advance payments from clients [15] - The company anticipates continued cost savings through AI-driven workflow improvements [16]