Why Isn't Productivity Increasing Despite Efforts to Manage Staff? Solving the "Insufficient Staffing and Operation Optimization" Problem in the Human Resources Industry with AI ~Seeking PoC Partners for Optimization AI Models with AI Factory "AI HRPro on IDX"~

AI Data Inc. (Headquarters: Minato-ku, Tokyo; President and CEO: Takani Sasaki; hereinafter referred to as AI Data), a company specializing in the utilization of corporate data and AI, is seeking three PoC partners for its "staffing and operation optimization solution" within "AI HRPro on IDX," an optimization AI based on "AI Komei on IDX." This initiative addresses the structural issue in the human resources and service industries where productivity does not improve despite increasing staff and optimizing their deployment.

This solution comprehensively optimizes human resource skills, operational status, work demand, and shift information to maximize corporate productivity and profitability.

▼AI Platform for the Human Resources Industry "AI HRPro on IDX"

Background: Why "Results Aren't Achieved Despite Managing Staff"?

In the human resources and service industries, operations are managed through:

Shift adjustments

Staff deployment

Workload distribution

However, in reality, situations such as:

Busy but no results

Work delays despite sufficient staff

Concentration of workload on a few individuals

are often observed.

This is a state of "managing people but not increasing productivity."

The Core Issue: "Insufficient Staffing and Operation Optimization"

Productivity depends on "optimizing staffing and operations," such as:

Who to deploy where

Which staff to assign to which tasks

Which personnel to deploy during which time slots

However, current issues include:

Deployment relying on experience and intuition

Mismatch between skills and tasks

Shifts that cannot accommodate fluctuations in demand

As a result, this leads to:

Simultaneous occurrence of staff shortages and surpluses

Inefficiency in operations

Variability in service quality

Decreased productivity

The problem lies not in the number of personnel, but in "insufficient staffing and operation optimization."

Solution: Optimization AI "AI HRPro on IDX"

AI HRPro on IDX is an AI platform that comprehensively optimizes staff deployment and operations.

Data Integration (IDX)

- Integrates and centrally manages personnel skills, attendance, job details, and demand data on a file basis. - Visualizes the overall situation by uploading the latest data.

AI Analysis and Prediction

- Analyzes trends in work demand and provides insights based on uploaded performance data. - Skill matching analysis. - Operational load analysis. - Visualizes the optimal relationship between people and tasks.

Optimization Engine

- Proposes and recommends optimal staffing based on personnel data and skill information. - Analyzes shift information and suggests improvements for optimal shifts. - Proposes work distribution considering load balance based on work data. - Derives optimal staffing and operations.

AI PMO (Execution and Operation Optimization)

- Supports management and tracking of deployment and shift execution status on a document basis. - Assists in analyzing achievement status and identifying issues by uploading KPI reports. - Continuous improvement (Loop). - Achieves "optimized execution."

Expected Introduction Effects

Supports productivity improvement through faster decision-making based on data utilization.

Promotes effective utilization of existing personnel through staffing optimization proposals.

Visualizes and proposes improvements for workload imbalances based on load analysis reports.

Supports improved accuracy in placing the right person in the right job through skill matching analysis.

Improves profit margins through visualization and reduction proposals of waste by optimization AI.

Even with the same personnel, results can vary significantly.

Message

Historically, the human resources and service industries have been supported by:

The ability to manage staff

On-site responsiveness

However, from now on, these alone will not increase productivity.

What is needed is "optimization of staffing and operations."

If you are managing staff but not achieving results, it is an optimization problem.

AI Komei optimizes the "judgment" and "execution" of human resources.

About AI Data Inc.

Company Name: AI Data Inc. Established: April 2015

Capital: 100 million yen (1.525 billion yen in capital reserve)

President and CEO: Takani Sasaki

Location: 4F, Metro City Kamiya-cho Bldg., 5-1-5 Toranomon, Minato-ku, Tokyo

URL: https://www.aidata.co.jp/

Based on data infrastructure and intellectual property infrastructure, AI Data Inc. has been engaged in businesses that protect and utilize corporate and individual data assets for over 20 years. It has earned the trust of over 10,000 companies and over 1 million customers. Its "Data Ecosystem Business," which encompasses data sharing, backup, recovery, migration, and erasure, has won the BCN Award for the number one sales volume for 17 consecutive years. In data infrastructure, AI Data provides cloud data management and recovery services through IDX, and has also received high praise in the legal field through forensic investigations and evidence disclosure services, which received the Minister of Economy, Trade and Industry Award. On the other hand, in intellectual property infrastructure, it supports IP management and monetization by building the patent search and application support system "Tokkyo.Ai" and an IP marketplace for patent trading through its group company. By integrating these, it deploys a data and intellectual property fusion platform using generative AI "AI Komei." Furthermore, it is focusing on nurturing young engineers in collaboration with the Ministry of Defense, contributing to the strengthening of social infrastructure through data management and intellectual property protection.