Why Don't Occupancy and Revenue Match? AI Data Releases 'AI RealEstate on IDX' Optimization AI Model

AI Data Co., Ltd. (Headquarters: Minato-ku, Tokyo; President: Takahito Sasaki), a company specializing in corporate data and AI utilization, has begun providing 'AI RealEstate on IDX'—a real estate revenue optimization solution using the optimization AI 'AI Koumei on IDX'—to solve the structural challenge where revenue fails to grow despite high occupancy.

This solution aims to achieve maximum revenue in real estate management by integrally optimizing rent settings, occupancy rates, operating costs, and investment decisions.

### Background: Why is Real Estate 'Occupied but Not Profitable'?
For many years, real estate management has focused on:
- Maximizing occupancy (tenant) rates
- Securing stable income

However, in recent years, despite full occupancy, profits are often not increasing due to:
- Intensifying rent competition
- Increasing vacancy risks
- Rising operating costs
- Changes in interest rate environments

### The Essence of the Problem: Fragmented Revenue Design
In real estate management, rent settings, occupancy management, cost management, and investment decisions are closely linked. However, current practices are often fragmented:
- Rents are based on market averages
- Occupancy is handled onsite
- Costs are managed separately
- Investment decisions depend on experience

This fragmentation leads to profit compression from excessive price cuts, revenue loss due to overemphasizing occupancy, inefficient cost structures, and delayed investment recovery. The problem lies not in the market, but in the lack of 'revenue design optimization.'

### Solution: Real Estate Optimization AI 'AI RealEstate on IDX'
'AI RealEstate on IDX' is an integrated AI platform that optimizes decision-making in real estate management.

**Data Integration (IDX)**
Integrates property data, rent/contract data, occupancy data, operating cost data, and market/area data to visualize the overall situation in real time.

**AI Analysis and Prediction**
- Demand forecasting (by area and property)
- Rent optimization analysis
- Vacancy risk analysis
- Visualizing future revenue structures

**Optimization Engine**
- Rent optimization (proposing optimal rents based on data)
- Analysis and improvement proposals for occupancy/revenue balance
- Analysis and reduction point proposals for cost structures
- Supporting decisions that maximize profit

**AI PMO (Execution and Operation Optimization)**
- Support for planning and progress management of rent and recruitment strategies
- Management and monitoring support for occupancy improvement measures
- Visualization and reporting support for KPIs

Through these loops, the solution realizes 'real estate management that continues to be optimized for revenue.'

### Expected Effects of Implementation
- Maximization of rent revenue
- Reduction of vacancy risks
- Departure from dependence on price cuts
- Reduction of operating costs
- Optimization of recovery plans through improved precision in investment judgment

Even with the same occupancy rate, revenue will change.

### Message
Until now, real estate has been evaluated by occupancy and stability. From now on, competitiveness will be defined by whether you can optimize revenue. Occupancy is not the goal; it is a variable to be optimized.

### Future Developments
AI Data will expand its 'Optimization AI x AI PMO' across various industries, including manufacturing, retail, logistics, construction, finance, hotels, and real estate, moving next into energy, human resources, and services. All industries are 'optimization problems.'

### Closing
Filling rooms is not the goal. Optimization is the goal. AI Koumei optimizes 'judgment' and 'execution' for real estate.

### About AI Data Co., Ltd.
Name: AI Data Co., Ltd.
Established: April 2015
Capital: 100 Million JPY (Capital Reserve: 1.525 Billion JPY)
President: Takahito Sasaki
Location: 4F Metro City Kamiyacho Bldg, 5-1-5 Toranomon, Minato-ku, Tokyo
URL: https://www.aidata.co.jp/

AI Data has been protecting and utilizing data assets for over 20 years. Trusted by over 10,000 companies and 1 million customers, its 'Data Ecosystem Business' has ranked No. 1 in sales for 17 consecutive years in the BCN Awards. Its forensic and evidence disclosure services have also received high praise in the legal field.