Why Inventory Squeezes Profits? — AI Data Announces "AI RetailBooster on IDX" AI Optimization Model to Reconstruct Retail Business with "Demand and Price Optimization"
AI Data Inc. has launched "AI RetailBooster on IDX", an AI optimization model focusing on inventory structure as a key factor pressuring retail profits. This solution aims to reconstruct retail profit structures by integrating demand forecasting, pricing, and inventory management.
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- 📰 Published: May 7, 2026 at 19:00
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AI Data Inc. (Head Office: Minato-ku, Tokyo; President & CEO: Takahito Sasaki; hereinafter "AI Data"), a company specializing in the utilization of corporate data and AI, has launched a new "Demand and Price Optimization Solution" as part of its "AI RetailBooster on IDX" service, leveraging its optimization AI "AI Komei on IDX". This solution specifically targets the "inventory structure," which is a primary cause of declining profitability in the retail and distribution industries.
The main objective of this solution is to holistically optimize demand forecasting, pricing strategies, and inventory management, thereby fundamentally restructuring the profit mechanisms of the retail sector.
■ Background: Why Retailers Don't Make Profits Even When They Sell
Currently, the retail industry faces several deepening challenges:
Simultaneous occurrence of excessive inventory and stockouts
Profit pressure due to markdowns
Increase in disposal losses
Intensification of demand fluctuations
Despite maintaining or expanding sales, many companies experience:
Declining profit margins
Increasing inventory costs
This situation has become normalized, leading to a "selling well but not profiting" structure.
■ The Core of the Problem: Inventory is the "Center of Management," Not Just a "Result"
In the retail business, inventory is more than just an outcome. It is the culmination of various management decisions, including:
Which products to procure
At what price to sell
When to replenish stock
However, the current situation often involves:
Mismatches between demand forecasts and procurement
Lack of real-time adjustments in pricing strategies
Optimization confined to individual departments
This creates an "inventory structure that pressures profits."
■ Solution: Demand and Price Optimization AI "AI RetailBooster on IDX"
"AI RetailBooster on IDX" supports retailers' decision-making processes through AI, achieving optimized inventory, pricing, and procurement.
1. Data Integration (IDX)
POS data / Inventory data / Procurement and sales data / Customer and purchasing behavior data are consolidated into IDX, then comprehensively analyzed and visualized by AI Komei.
2. AI Analysis and Forecasting
Demand forecasting / Sales trend analysis / Product turnover rate analysis
AI analyzes sales trends and demand patterns based on accumulated data.
3. Optimization Engine
Optimization analysis of inventory levels
Analysis of pricing strategies and recommendation of optimal price ranges
Proposal for optimizing procurement plans
AI supports and proposes decision-making for maximizing profits.
4. AI PMO (Execution and Operation Optimization)
AI prepares progress management documents for inventory and pricing strategies.
Regular generation and analysis of KPI reports.
Continuous support for improvement cycles (Loop).
This realizes "retail management where AI continuously supports business decisions."
It achieves "retail management where optimization continuously rotates."
■ Expected Benefits of Implementation
Optimization of inventory and reduction of unnecessary excess stock
Reduction of disposal losses
Improvement in the accuracy of markdown strategies
Support for decision-making aiming for both sales and profit
Contribution to cash flow improvement
*Effects may vary depending on implementation scale and usage.
Transforming inventory from a "cost" into a "profit-generating asset."
■ Message
Until now, the retail industry has grown through:
Sales expansion
Store operational capabilities
However, the era has arrived where "companies that can optimize inventory and pricing" will win. Inventory is a management domain that must be optimized.
■ Future Developments
Following the manufacturing, logistics, and retail industries, AI Data will expand "Optimization AI × AI PMO" to various other sectors, including:
Construction
Finance
Healthcare
Energy
"All industries are optimization problems."
■ About AI Data Inc.
Company Name: AI Data Inc.
Established: April 2015
Capital: 100 million JPY (Capital reserve: 1.525 billion JPY)
President & CEO: Takahito Sasaki
Location: 4F Metro City Kamiyacho Building, 5-1-5 Toranomon, Minato-ku, Tokyo
URL: https://www.aidata.co.jp/
AI Data Inc., founded on data and intellectual property infrastructure, has been engaged for over 20 years in businesses that protect and utilize corporate and individual data assets. Trusted by over 10,000 companies and more than 1 million customers, its "Data Ecosystem Business," which encompasses data sharing, backup, recovery, migration, and erasure, has won the BCN Award for 17 consecutive years as the top-selling product. In data infrastructure, it provides IDX cloud data management and recovery services, and has earned high acclaim in the legal field through forensic investigations and evidence disclosure services recognized by the Minister of Economy, Trade and Industry.
On the other hand, in intellectual property infrastructure, it supports IP management and monetization through its group company's patent search and application support system "Tokkyo.Ai" and the establishment of an IP marketplace that enables patent trading. Integrating these, it offers a fusion platform of data and intellectual property powered by generative AI "AI Komei TM."
The main objective of this solution is to holistically optimize demand forecasting, pricing strategies, and inventory management, thereby fundamentally restructuring the profit mechanisms of the retail sector.
■ Background: Why Retailers Don't Make Profits Even When They Sell
Currently, the retail industry faces several deepening challenges:
Simultaneous occurrence of excessive inventory and stockouts
Profit pressure due to markdowns
Increase in disposal losses
Intensification of demand fluctuations
Despite maintaining or expanding sales, many companies experience:
Declining profit margins
Increasing inventory costs
This situation has become normalized, leading to a "selling well but not profiting" structure.
■ The Core of the Problem: Inventory is the "Center of Management," Not Just a "Result"
In the retail business, inventory is more than just an outcome. It is the culmination of various management decisions, including:
Which products to procure
At what price to sell
When to replenish stock
However, the current situation often involves:
Mismatches between demand forecasts and procurement
Lack of real-time adjustments in pricing strategies
Optimization confined to individual departments
This creates an "inventory structure that pressures profits."
■ Solution: Demand and Price Optimization AI "AI RetailBooster on IDX"
"AI RetailBooster on IDX" supports retailers' decision-making processes through AI, achieving optimized inventory, pricing, and procurement.
1. Data Integration (IDX)
POS data / Inventory data / Procurement and sales data / Customer and purchasing behavior data are consolidated into IDX, then comprehensively analyzed and visualized by AI Komei.
2. AI Analysis and Forecasting
Demand forecasting / Sales trend analysis / Product turnover rate analysis
AI analyzes sales trends and demand patterns based on accumulated data.
3. Optimization Engine
Optimization analysis of inventory levels
Analysis of pricing strategies and recommendation of optimal price ranges
Proposal for optimizing procurement plans
AI supports and proposes decision-making for maximizing profits.
4. AI PMO (Execution and Operation Optimization)
AI prepares progress management documents for inventory and pricing strategies.
Regular generation and analysis of KPI reports.
Continuous support for improvement cycles (Loop).
This realizes "retail management where AI continuously supports business decisions."
It achieves "retail management where optimization continuously rotates."
■ Expected Benefits of Implementation
Optimization of inventory and reduction of unnecessary excess stock
Reduction of disposal losses
Improvement in the accuracy of markdown strategies
Support for decision-making aiming for both sales and profit
Contribution to cash flow improvement
*Effects may vary depending on implementation scale and usage.
Transforming inventory from a "cost" into a "profit-generating asset."
■ Message
Until now, the retail industry has grown through:
Sales expansion
Store operational capabilities
However, the era has arrived where "companies that can optimize inventory and pricing" will win. Inventory is a management domain that must be optimized.
■ Future Developments
Following the manufacturing, logistics, and retail industries, AI Data will expand "Optimization AI × AI PMO" to various other sectors, including:
Construction
Finance
Healthcare
Energy
"All industries are optimization problems."
■ About AI Data Inc.
Company Name: AI Data Inc.
Established: April 2015
Capital: 100 million JPY (Capital reserve: 1.525 billion JPY)
President & CEO: Takahito Sasaki
Location: 4F Metro City Kamiyacho Building, 5-1-5 Toranomon, Minato-ku, Tokyo
URL: https://www.aidata.co.jp/
AI Data Inc., founded on data and intellectual property infrastructure, has been engaged for over 20 years in businesses that protect and utilize corporate and individual data assets. Trusted by over 10,000 companies and more than 1 million customers, its "Data Ecosystem Business," which encompasses data sharing, backup, recovery, migration, and erasure, has won the BCN Award for 17 consecutive years as the top-selling product. In data infrastructure, it provides IDX cloud data management and recovery services, and has earned high acclaim in the legal field through forensic investigations and evidence disclosure services recognized by the Minister of Economy, Trade and Industry.
On the other hand, in intellectual property infrastructure, it supports IP management and monetization through its group company's patent search and application support system "Tokkyo.Ai" and the establishment of an IP marketplace that enables patent trading. Integrating these, it offers a fusion platform of data and intellectual property powered by generative AI "AI Komei TM."