Why We Are Challenging the Prediction of Future Real Estate Dynamics Using Real Estate Big Data

This is Oe from TRUSTART Inc.

The real estate industry is currently at a major turning point. In particular, the "suspension of access to real estate registration reception books" scheduled for October 2026 has an impact significant enough to fundamentally change the way the industry operates.

Facing this "2026 Real Estate Industry Problem," we have stepped into a new domain of "future prediction" using real estate big data and established the "Real Estate Dynamics Prediction Consortium." This time, I would like to share the background behind why we established this consortium.

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1. October 2026: The "Dark Age of Information" Coming to the Real Estate Market

Until now, the real estate and financial industries have grasped movements in inheritance and sales from real estate registration reception books to conduct efficient marketing and sales activities. However, with the suspension of access in October 2026, market movements will become completely "black-boxed."
The "Three Challenges" Facing the Industry

• Difficulty in grasping the market: Market transparency will drop significantly as information on real estate transfers becomes invisible.

• Inefficiency of sales activities: Data-driven approaches will no longer be possible, leading to a regression to sales based on "intuition and experience" that incur significant costs.

• Deadlock in strategy formulation: It will be impossible to accurately predict market trends, which will negatively affect investment decisions and management strategies.

To break through this situation, we have decided to take on the challenge of moving from "tracking past records" to "predicting future occurrences."

2. Creating "Surface Assets" Across the Industry: The RETAP Concept

There is a limit to the data that can be collected by a single company. Therefore, we launched the "Real Estate Dynamics Prediction Consortium (RADI)," a co-creation platform that transforms individual companies' "point information" into "surface assets" for the entire industry.
*Press release of the consortium
By integrating registration information held by member companies while anonymizing owner and personal information, and analyzing it highly with AI, we will predict "future sales and inheritances" with high precision, which was previously impossible.
In addition, through proprietary generative AI analysis technology and big data analysis, we plan to assign predicted sales rates and predicted inheritance rates within a few years for each property, as well as estimate attributes such as the assumed age, gender, family structure, and whether the property is owner-occupied.

3. Concrete Sales Scenes Changed by "Future Prediction"

How will this prediction data be utilized in daily business settings?

① Real Estate Brokerage: Dramatic Efficiency in Procurement Sales

Previously, approaches were started after movements occurred in real estate, such as "after an inheritance occurred," but by using AI prediction, it becomes possible to make proactive proposals to "segments with a high probability of inheritance or sales occurring."

• How to use: Focus on areas and property owners with high predicted sales rates to conduct direct mail, telemarketing, and visits.

• Benefits: It is possible to create points of contact for real estate sales proposals before other companies notice, while significantly reducing acquisition costs without indiscriminate sales.

② Financial Institutions: Financing and Asset Management Proposals at the Optimal Timing

The field of wealthy client and borrower development, as well as asset management at banks and securities companies, is still forced to rely on passive approaches of "learning about customer life events after the fact." However, by utilizing AI prediction, this sales style will be fundamentally transformed.

• How to use: In addition to utilizing the prediction data as is, it can be incorporated into the company's own CRM, etc., and linked with existing customer data (financial asset balance, family structure, age, etc.).

• Benefits: By integrating and visualizing asset status, life stages, and "real estate movements," more advanced predictions and precise total asset sales optimized for each individual, such as lifetime gifting and inheritance tax measures, become possible.

4. Why a "Consortium"? The Barrier of Tens of Billions of Yen

If a single company were to attempt to build a prediction foundation by analyzing 50 million real estate registry records on its own, the cost of acquiring the registry records alone would reach tens of billions of yen, and costs related to analysis and infrastructure construction would also be required.

This is not a scale that can realistically be borne by a single company. However, by establishing a joint research framework with academic institutions and think tanks, RDAI makes it possible to enjoy advanced analysis results for a modest monthly membership fee of several tens of thousands of yen.

In addition, we provide a function that instantly digitizes your paper or PDF registry records using generative AI and assigns attributes such as sales potential. This makes it possible to organize information and predict the future simultaneously.

For the sustainable growth of the real estate industry

The suspension of access in October 2026 is a trial for the industry to evolve. We will take on the challenge of becoming an infrastructure that prevents black-box operations through the power of data and technology, visualizes the future of real estate distribution, revitalizes real estate-related transactions more than ever before, and maximizes client corporate value and national interest.