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Transforming the HR Staffing Industry with AI

AI Data Corporation, headquartered in Minato, Tokyo, has officially launched its innovative AI module, AI Kongming™ on IDX for HR Staffing. This state-of-the-art technology is designed to revolutionize the way human resources firms manage staffing and enhance communication in a rapidly changing market.

Addressing Key Challenges in the Staffing Sector

The staffing industry is currently facing several pressing challenges, including a more fluid labor market, recruitment difficulties, and diverse employment modes. To effectively connect job seekers, employees, and staffing companies, there is an urgent need for high-precision matching and a sustainable support system for employment.

On-the-ground operations frequently encounter obstacles such as:

• - Time-consuming matching processes that rely heavily on individual staff judgment.
• - Fragmented consultation records and complaint histories that hinder effective follow-up and improvements.
• - Lengthy tasks associated with contract renewals and report creation.

To tackle these pressing operational challenges, AI Data Corporation has integrated generative AI with business data, resulting in AI Kongming™ on IDX for HR Staffing. This cutting-edge solution automates matching, employment management, and historical data utilization, significantly enhancing operation efficiency.

Core Features of AI Kongming™

The AI Kongming™ module is designed to streamline various aspects of HR management:

• - Automated Candidate Matching and Recommendations: By analyzing candidate profiles, skills, and interview histories, the module generates clear, natural language recommendations for hiring managers.
• - Natural Language Reporting on Attendance and Performance: It significantly reduces the time spent on generating monthly performance reports by automatically drafting them based on attendance and operational data.
• - Document Support for Contract Renewals and Re-employment Follows: By centralizing contract information, it drafts follow-up emails and meeting notes, thus minimizing manual effort.
• - Creation of Reports and Evaluative Comments for Clients: The module facilitates the generation of client-specific monthly reports and analysis comments directly linked to attendance and operational metrics.
• - Cross-Searching and Summarizing Historical Records: This feature allows HR teams to efficiently search through interview notes, complaint records, and required qualifications, summing them up for quick reference and organizational knowledge.

Impact of Implementing AI Kongming™

The implementation of AI Kongming™ can lead to remarkable efficiency improvements in HR operations. For instance, candidate matching that previously took 15 to 30 minutes can be accomplished in just a few minutes, allowing HR personnel to focus on strategic decision-making. Additionally, the time required for crafting monthly reports could drop from several hours to just around an hour.

What Sets AI Kongming™ Apart?

AI Kongming™ on IDX for HR Staffing is more than just a matching engine. Its multifaceted approach to human resource management—encompassing viewing people, leveraging records, and assisting in judgments—ensures that teams can rely on natural language processing, historical summaries, and knowledge organization to improve decisions and outcomes. This solution empowers firms by providing a clearer understanding of their data, facilitating better communication, and ultimately enhancing the quality of workforce management.

Seeking Collaborative Partnerships

AI Data Corporation is currently looking for partnerships with staffing, recruitment, and BPO companies, as well as vendors of attendance and management systems. They are also open to conducting proof of concepts and provide support for gradual implementation.

About AI Data Corporation

Founded in April 2015, AI Data Corporation specializes in leveraging data infrastructure and intellectual property management. With over 20 years of experience and a trusted client base exceeding 100,000 individuals and 10,000 companies, they are committed to protecting and utilizing data assets effectively. Their extensive portfolio includes data sharing, backup, recovery, and transitioning solutions, all aimed at building a robust data ecosystem that supports business operations and innovation in technology.