CRIC2025重磅上线：携手深度智联，AI重构不动产决策大脑

Core Insights - The launch of CRIC2025 marks a significant upgrade in the real estate decision-making consulting system, integrating AI technology to transform the industry into a new phase of intelligent decision-making [2][11] - CRIC2025 represents a critical step from information and digitalization to AI intelligence, fundamentally reconstructing the workflow in the real estate sector [3][11] AI Modules Overview - The system features three core modules: "AI Data Intelligence," "AI Reports," and "AI Tasks," which collectively create an AI-exclusive space covering the entire workflow from data to knowledge to reports and tasks [3][10] - "AI Data Intelligence" allows users to interact with the system using natural language, generating multi-dimensional, interactive data visualizations and reports without needing complex query syntax [4][10] - "AI Reports" revolutionizes the report writing process by automating data extraction, analysis, and report generation, reducing production time from weeks to minutes and enhancing efficiency significantly [6][10] - "AI Tasks" will enable users to input real estate task requirements directly, allowing the system to autonomously plan and execute multi-step tasks, enhancing user experience and customization [9][10] Professional Foundation and Technological Integration - CRIC2025's AI capabilities are built on a robust foundation of 20 years of industry data and 30 years of market cycle insights, ensuring reliable data-driven decision-making [10][11] - The integration of deep learning technology from Deep Intelligence enhances the system's analytical and reasoning capabilities, providing a solid basis for every interaction [10][11] Industry Transformation - The introduction of CRIC2025 is a milestone in the evolution of the real estate industry, shifting the focus from experience-driven to AI-driven decision-making [11] - By automating data processing and report writing, the system allows industry professionals to concentrate on strategic thinking and innovation, fostering a collaborative human-machine working model [11]