Booming Used Housing Market Due to Soaring New Prices Intensifies Purchasing Competition for Residential Resale; 'Recommender PRO' Streamlines New Notifications, Pricing, and Info Gathering

Estate Technologies launched 'Recommender PRO', an AI-driven service for real estate companies. It automates property discovery and pricing analysis to help them compete in the booming used housing purchase/resale market.
新製品NQ 80/100出典:PR Times

📋 Article Processing Timeline

  • 📰 Published: April 6, 2026 at 19:00
  • 🔍 Collected: April 6, 2026 at 10:30
  • 🤖 AI Analyzed: April 21, 2026 at 01:39 (351h 8m after Collected)
Estate Technologies Inc. (Headquarters: Shibuya-ku, Tokyo, CEO: Hiroshi Sawa), whose strength lies in AI-driven big data analysis, has launched the provision of "Recommender PRO", a service that supports purchasing operations for real estate companies engaged in the purchase and resale of residential properties, as well as those considering entering the business in the future.

Industry Background and Service Significance:
In recent years, prices of newly built condominiums have continued to soar, primarily in the Tokyo metropolitan area. Consequently, the used housing market is also booming, and the environment surrounding the residential purchase and resale business is changing significantly. Under these circumstances, purchasing managers are required to make decisions with a greater sense of speed and solid rationale than ever before.

According to an announcement by the Real Estate Economic Institute, the average price of a newly built condominium in the Tokyo metropolitan area in 2025 will be 91.82 million yen, and 136.13 million yen in the 23 wards of Tokyo, both of which are high levels. Additionally, data released by the East Japan Real Estate Information Network System (East Japan REINS) shows that the number of used condominium transactions in the Tokyo metropolitan area in 2025 was 49,114, an increase of 31.9% compared to the previous year. Furthermore, materials from the Ministry of Land, Infrastructure, Transport and Tourism also indicate that interest in existing homes and renovated/remodeled homes is increasing against the backdrop of soaring and persistently high prices for new construction.

On the other hand, in the field of the residential purchase and resale business, due to rapid price fluctuations, there are increasing situations where it is difficult to make purchasing decisions based solely on conventional rules of thumb or simple comparisons of past market prices. The conventional method of searching for candidate properties while patrolling multiple portal sites and checking the validity of prices and surrounding cases places a heavy burden on the person in charge. The competition to acquire excellent properties is extremely fierce, and there is also the issue that a delay in initial response directly leads to the loss of purchasing opportunities.

In response to these challenges, our "Recommender PRO" supports the "aggressive purchasing" of residential purchase and resale operators through automatic notification of new properties, aggregation and matching of property information that meets purchasing conditions, and the provision of analytical information that supports pricing decisions.

Residential Purchase and Resale Purchasing Challenges Increasing with Market Changes:
In the residential purchase and resale business, the following challenges have become apparent:

1. Stagnation of purchasing channels:
It is becoming difficult to secure stable purchasing opportunities relying on conventional introductions and existing networks.

2. Time-consuming information gathering:
Patrolling multiple portal sites to find properties that meet the conditions and checking prices and surrounding cases places a heavy burden on the person in charge.

3. Weakening basis for price negotiations:
Amid significant market changes, it has become difficult to explain the validity of purchase prices and negotiation materials based solely on past sensory values.

4. Missing out on excellent properties:
Since popular properties move immediately after being listed, there are cases where information acquisition falls behind when checking manually.

What "Recommender PRO" Achieves:
1. Automatic aggregation of property information that meets conditions:
Automatically aggregates information from multiple real estate portal sites into a single list based on pre-set purchasing conditions.