AI Data Inc. Releases Optimization AI Model to Transform Manufacturing into 'Optimization Management': Why is Production Increasing but Profits Not Growing?
AI Data Inc. has launched a new management model, 'Optimization Management,' leveraging its upgraded optimization AI 'AI Komei on IDX' to address the structural challenge in manufacturing where 'production increases but profits are not maximized.' This model integrates data integration, AI analysis, an optimization engine, and AI PMO to continuously optimize decision-making and execution in manufacturing.
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- 📰 Published: April 30, 2026 at 20:40
- 🔍 Collected: April 30, 2026 at 12:01
- 🤖 AI Analyzed: April 30, 2026 at 12:38 (36 min after Collected)
AI Data Inc. (Headquarters: Minato-ku, Tokyo; Representative Director and President: Takahito Sasaki; hereinafter 'AI Data Inc.'), a company specializing in the utilization of corporate data and AI, has begun offering a new management model, 'Optimization Management,' utilizing the optimization AI 'AI Komei on IDX' in conjunction with an AI function upgrade. This initiative aims to address the structural issue in manufacturing where 'production increases but profits are not maximized.'
This model integrates data integration, AI analysis, an optimization engine, and AI PMO to continuously optimize decision-making and execution in the manufacturing sector.
■ Background: Why is 'Optimization' necessary for the manufacturing industry now?
Japanese manufacturing has historically maintained global competitiveness through high quality, on-site capabilities, and 'Kaizen' (continuous improvement). However, structural challenges are now evident:
- Production volume is increasing, but profit margins are not improving.
- Increased inventory pressures costs.
- Rising raw material and labor costs.
- Departmental optimization exists, but overall optimization is lacking.
- Slow decision-making leads to lost opportunities.
The essence of these problems lies in 'lack of optimization.'
■ The essence of the problem: 'Lack of optimization,' not effort
In many manufacturing sites, sales, production, purchasing, and logistics departments each do their best.
However,
- Sales aim to maximize revenue.
- Factories aim to maximize operating rates.
- Purchasing aims to reduce costs.
The accumulation of such departmental optimizations does not necessarily lead to maximizing profits for the entire company.
The reason for 'working hard but not making profits' is not a lack of effort, but a 'structure that is not overall optimized.'
■ Solution: Optimization AI 'AI Komei on IDX'
AI Komei on IDX optimizes manufacturing management with the following four functions:
1. Data Integration (IDX)
- Integrates production, inventory, sales, and purchasing data.
- Eliminates divisions between departments.
- Visualizes overall status in real-time.
2. AI Analysis and Prediction
- Demand forecasting.
- Production load analysis.
- Inventory risk prediction.
- Visualizes future conditions.
3. Optimization Engine
- Optimizes production plans.
- Optimizes inventory levels.
- Optimizes raw material procurement.
- Calculates optimal solutions under constraints.
4. AI PMO (Execution Management)
- Cross-organizational decision-making and execution.
- KPI management.
- Continuous improvement (Loop).
- 'Execute strategy and optimize organization.'
■ Expected Benefits of Implementation
The introduction of AI Komei on IDX is expected to bring the following benefits:
- Inventory reduction (10-30%).
- Improved production efficiency.
- Reduced costs.
- Improved profit margins.
- Faster decision-making.
Maximizes profits with the same personnel and sales.
■ Message
AI Data Inc. believes that the source of competitiveness for the manufacturing industry lies in 'on-site capabilities.'
However, in the coming era, we need:
On-site capabilities × Optimization
■ Future Developments
AI Data Inc. will expand 'Optimization AI × AI PMO' to all industries, including manufacturing, as well as:
- Logistics.
- Retail.
- Medical.
- Energy.
■ About AI Data Inc.
Company Name: AI Data Inc.
Established: April 2015
Capital: 100 million yen (Capital reserve: 1.525 billion yen)
Representative Director and President: Takahito Sasaki
Location: Metro City Kamiyacho Building 4F, 5-1-5 Toranomon, Minato-ku, Tokyo
URL: https://www.aidata.co.jp/
AI Data Inc. has been protecting and utilizing corporate and individual data assets for over 20 years, based on data and intellectual property infrastructure. We have earned the trust of over 10,000 companies and over 1 million customers. In our 'Data Ecosystem Business,' which encompasses data sharing, backup, recovery, migration, and erasure, we have won the BCN Award for sales volume for 17 consecutive years.
In data infrastructure, we provide IDX cloud data management and recovery services, and have earned high recognition in the legal field through forensic investigations and discovery services, for which we received the Minister of Economy, Trade and Industry Award.
On the other hand, in intellectual property infrastructure, we support intellectual property management and monetization by building a patent search and application support system 'Tokkyo.Ai' and an IP marketplace for patent trading through our group companies. These are integrated to deploy a data and intellectual property fusion platform utilizing generative AI 'AI Komei.' We also focus on nurturing young engineers in collaboration with the Ministry of Defense, contributing to strengthening social infrastructure through data management and intellectual property protection.
This model integrates data integration, AI analysis, an optimization engine, and AI PMO to continuously optimize decision-making and execution in the manufacturing sector.
■ Background: Why is 'Optimization' necessary for the manufacturing industry now?
Japanese manufacturing has historically maintained global competitiveness through high quality, on-site capabilities, and 'Kaizen' (continuous improvement). However, structural challenges are now evident:
- Production volume is increasing, but profit margins are not improving.
- Increased inventory pressures costs.
- Rising raw material and labor costs.
- Departmental optimization exists, but overall optimization is lacking.
- Slow decision-making leads to lost opportunities.
The essence of these problems lies in 'lack of optimization.'
■ The essence of the problem: 'Lack of optimization,' not effort
In many manufacturing sites, sales, production, purchasing, and logistics departments each do their best.
However,
- Sales aim to maximize revenue.
- Factories aim to maximize operating rates.
- Purchasing aims to reduce costs.
The accumulation of such departmental optimizations does not necessarily lead to maximizing profits for the entire company.
The reason for 'working hard but not making profits' is not a lack of effort, but a 'structure that is not overall optimized.'
■ Solution: Optimization AI 'AI Komei on IDX'
AI Komei on IDX optimizes manufacturing management with the following four functions:
1. Data Integration (IDX)
- Integrates production, inventory, sales, and purchasing data.
- Eliminates divisions between departments.
- Visualizes overall status in real-time.
2. AI Analysis and Prediction
- Demand forecasting.
- Production load analysis.
- Inventory risk prediction.
- Visualizes future conditions.
3. Optimization Engine
- Optimizes production plans.
- Optimizes inventory levels.
- Optimizes raw material procurement.
- Calculates optimal solutions under constraints.
4. AI PMO (Execution Management)
- Cross-organizational decision-making and execution.
- KPI management.
- Continuous improvement (Loop).
- 'Execute strategy and optimize organization.'
■ Expected Benefits of Implementation
The introduction of AI Komei on IDX is expected to bring the following benefits:
- Inventory reduction (10-30%).
- Improved production efficiency.
- Reduced costs.
- Improved profit margins.
- Faster decision-making.
Maximizes profits with the same personnel and sales.
■ Message
AI Data Inc. believes that the source of competitiveness for the manufacturing industry lies in 'on-site capabilities.'
However, in the coming era, we need:
On-site capabilities × Optimization
■ Future Developments
AI Data Inc. will expand 'Optimization AI × AI PMO' to all industries, including manufacturing, as well as:
- Logistics.
- Retail.
- Medical.
- Energy.
■ About AI Data Inc.
Company Name: AI Data Inc.
Established: April 2015
Capital: 100 million yen (Capital reserve: 1.525 billion yen)
Representative Director and President: Takahito Sasaki
Location: Metro City Kamiyacho Building 4F, 5-1-5 Toranomon, Minato-ku, Tokyo
URL: https://www.aidata.co.jp/
AI Data Inc. has been protecting and utilizing corporate and individual data assets for over 20 years, based on data and intellectual property infrastructure. We have earned the trust of over 10,000 companies and over 1 million customers. In our 'Data Ecosystem Business,' which encompasses data sharing, backup, recovery, migration, and erasure, we have won the BCN Award for sales volume for 17 consecutive years.
In data infrastructure, we provide IDX cloud data management and recovery services, and have earned high recognition in the legal field through forensic investigations and discovery services, for which we received the Minister of Economy, Trade and Industry Award.
On the other hand, in intellectual property infrastructure, we support intellectual property management and monetization by building a patent search and application support system 'Tokkyo.Ai' and an IP marketplace for patent trading through our group companies. These are integrated to deploy a data and intellectual property fusion platform utilizing generative AI 'AI Komei.' We also focus on nurturing young engineers in collaboration with the Ministry of Defense, contributing to strengthening social infrastructure through data management and intellectual property protection.