解决真实行业痛点 广联达AI交易大模型入选“2025年度民营企业新质生产力优秀案例”

Core Insights - Guanglianda's AI trading model has been recognized as an "Outstanding Case of New Quality Productivity for Private Enterprises in 2025" at the "2025 High-Quality Development Conference of the Private Economy" [1][2] - The Chinese government is actively promoting policies to support the private economy, encouraging increased investment in technological innovation and enhancing core competitiveness [1] - Guanglianda is positioned as a leading enterprise in the digital construction sector, leveraging its technological advantages to drive industry upgrades [1] Group 1: AI Trading Model Features - The AI trading model, AecGPT, covers seven areas in the construction industry, including planning, design, trading, cost, construction, operation, and comprehensive management [2] - The model utilizes a "data + algorithm" dual-drive approach to promote "intelligent integration," continuously optimizing and training based on a vast knowledge base and experience pool [2][5] - The model supports various applications such as AI bidding, AI evaluation, and AI assistance, enhancing efficiency and accuracy in the bidding process [2][4] Group 2: Bidding Process Enhancements - In the bidding phase, the AI model automates and structures the analysis of bidding documents, providing professional support for document review [4] - The AI-assisted evaluation can quickly process and analyze bidding documents, extracting key information and ensuring compliance with bidding requirements, significantly improving evaluation efficiency [4][5] - The AI clearing service automates the rationality check of project quantity lists and compliance checks of technical standards, generating clearing reports to reduce bidding risks [5] Group 3: Industry Impact and Future Outlook - The AI trading model addresses core pain points in public resource trading, enhancing the digital upgrade of the entire bidding process and promoting intelligent governance [5] - Guanglianda's model has been successfully implemented in regions such as Hainan, Guizhou, and Tibet, gaining customer trust and market recognition [5] - The recognition of Guanglianda reflects a shift in China's construction technology from "catching up" to "leading," with potential to reshape the global construction value chain [5]