Core Insights - AI is accelerating its implementation across various industries, including the recruitment sector, significantly enhancing candidate screening and client acquisition efficiency [2][5]. Candidate Matching Efficiency - The introduction of AI technology has transformed the candidate tracking process from manual to automated, allowing recruiters to instantly access candidate histories and match new applicants without manual input [3][4]. - The new Candidate Tracking System (CTS) at the company enables real-time updates on candidate activity and generates customized recommendation reports based on job descriptions and candidate profiles [3][4]. Client Acquisition Efficiency - The integration of AI into the company's CRM system has drastically improved client acquisition efficiency, allowing for real-time data retrieval and analysis of job postings across various platforms [5][6]. - The CRM system can now automatically monitor client recruitment needs and send notifications, turning passive client engagement into proactive outreach [6][7]. Technological Advancements - The company is testing an Agent prototype system aimed at enhancing frontline business efficiency rather than merely serving management reporting needs [8]. - Significant improvements have been made in the MatchSystem and CRE model, with the accuracy of job matching increasing by 60% due to the latest updates [8][9]. Future Developments - The company plans to continue advancing Agent technology and reasoning-based embedding models to address complex recruitment tasks, moving beyond traditional semantic embedding [9]. - The ongoing development of the CRE T1 model aims to create a reasoning embedding model that can handle structured reasoning challenges in recruitment scenarios [9].