Why Are Profits Elusive Despite Hard Work on Construction Projects? — Solving Construction's "Lack of Process and Resource Optimization" with AI ~ AI Data Inc. Seeks "AI Builder on IDX" PoC Partners ~

AI Data Inc. (Headquarters: Minato-ku, Tokyo; President & CEO: Takani Sasaki; hereinafter "AI Data") is seeking three PoC partners for its "process and resource optimization solution" utilizing "AI Builder on IDX," based on AI Koumei on IDX, to address the structural issue in the construction industry where "projects progress but do not yield profits."

This solution comprehensively optimizes schedule planning, personnel allocation, and material procurement to fundamentally improve the profitability of construction projects.

■ Background: Why is Construction "Profitable Despite Progress"?

The construction industry currently faces the following顕在化 (manifest) issues:

- Chronic project delays

- Labor and skilled worker shortages

- Rising and fluctuating material prices

- Coordination costs due to multi-layered subcontracting

Despite daily progress on construction sites,

- Costs are increasing

- Profit margins are declining

This situation is occurring in many companies.

The structure of "working hard but not making a profit" has become normalized.

■ The Core Issue: "Lack of Process and Resource Optimization"

In construction projects,

- Schedule planning

- Personnel allocation

- Material procurement

are closely interconnected.

However, the current situation is:

- Schedule and personnel allocation are not linked

- Material procurement is not timely

- Optimization is done on a site-by-site basis

Processes and resources are not designed for "overall optimization."

As a result,

- Idle time occurs

- Inefficient personnel placement

- Material shortages or surpluses

- Project delays occur, squeezing profits.

■ Solution: Construction Optimization AI "AI Builder on IDX"

"AI Builder on IDX" integrates decision-making and execution in the construction industry to optimize processes and resources.

Data Integration (IDX)

- Schedule data

- Personnel and craftsman data

- Material and procurement data

- Site progress data

Integrates accumulated data for unified visualization.

AI Analysis & Prediction

- Analyzes and reports delay risks based on schedule data.

- Analyzes and visualizes operational status based on personnel data.

- Analyzes and organizes supply risks based on material and procurement data.

Visualizes potential risks from data to support decision-making.

Optimization Engine

- Proposes optimal schedule plans based on schedule data analysis.

- Derives and proposes efficient allocation plans by analyzing personnel data.

- Proposes optimal procurement timing and quantities by analyzing procurement data.

The optimization AI supports and proposes decisions that maximize profits.

AI PMO (Execution & Operation Optimization)

- Manages the execution of schedule plans.

- Generates on-site action proposals based on analysis results.

- Analyzes and reports progress based on input KPI data.

- Provides continuous improvement proposals (Loop).

Achieves "Optimization in Execution."

■ Expected Implementation Effects

- Early identification and reduction support for project delay risks.

- Improved operational efficiency through optimized personnel allocation.

- Reduction of material waste through procurement analysis.

- Realization of shorter construction periods through schedule optimization.

- Improvement of profit margins through enhanced decision-making accuracy.

The same amount of work can yield different profits.

■ Message

Historically, the construction industry has relied on:

- On-site effort

- Coordination skills

- Experience

However, in the future, effort alone will not guarantee profits. What is needed is "optimization of processes and resources."

■ Conclusion

Projects are progressing, but profits are not being made.

This is an optimization problem.

AI Koumei optimizes construction "judgment" and "execution."

■ About AI Data Inc.

Name: AI Data Inc.
Establishment: April 2015
Capital: 100 million yen (1.525 billion yen in capital reserve)
President & CEO: Takani Sasaki
Location: 5-1-5 Toranomon, Minato-ku, Tokyo, Metro City Kamiyacho Building 4F
URL: https://www.aidata.co.jp/

AI Data Inc., based on its data infrastructure and intellectual property infrastructure, has been developing businesses for over 20 years to protect and utilize the data assets of companies and individuals. Trusted by over 10,000 companies and 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 earned high praise in the legal field through forensic investigations and e-discovery services, which received the Minister of Economy, Trade and Industry Award.

On the other hand, in intellectual property infrastructure, through group company's patent search and application support system "Tokkyo.Ai" and the construction of an IP marketplace enabling patent trading, it supports IP management and monetization. By integrating these, it deploys a data and intellectual property fusion platform using generative AI "AI Koumei." Furthermore, it focuses on nurturing young engineers in collaboration with the Ministry of Defense, contributing to the strengthening of the social infrastructure through data management and intellectual property protection.