Uridoki Co., Ltd. (headquartered in Shinjuku-ku, Tokyo; CEO: Yasuo Kogure; securities code: 418A), operator of the C2B resale platform "Uridoki" (https://uridoki.net/), announced on August 5, 2026, the implementation of the fifth phase of its proprietary AI-powered system development: the "Uridoki Predictive Valuation Model (Resale Appraisal Market Forecast Model)." This new feature enables the platform to provide "reference prices for popular items" based on Uridoki's proprietary product information and appraisal data.
With this implementation, users can now view reference prices for popular items directly on Uridoki's homepage and on the screen following completion of an appraisal request. This enhancement allows users to better understand the approximate value of items they own, encouraging them not only to consider appraisal and resale for items they already intended to sell, but also for items they hadn't previously considered selling—thereby creating new appraisal opportunities.
By leveraging its accumulated proprietary product information, appraisal data, and statistical forecasting models as service features, Uridoki aims to create an environment conducive to appraisal and resale, helping to surface latent selling demand and expand platform usage.
Implementation of AI-Powered "Resale Appraisal Market Forecast Model" on Uridoki
On August 5, 2026, the company announced the development of the "Uridoki Predictive Valuation Model (Resale Appraisal Market Forecast Model)" as the fifth phase of its proprietary AI-powered system development.
The model first uses AI to extract, classify, and normalize product data from the information and appraisal records accumulated on the Uridoki platform, preparing it for analysis. It then combines this data with historical appraisal prices actually offered by buyers and other past data, using statistical information such as averages, medians, and price distributions to calculate expected appraisal price ranges through a statistical forecasting model.
This model has now been implemented as a service feature on the C2B resale platform "Uridoki," and the company has begun providing "reference prices for popular items" based on the model's output.
<Announced August 5, 2026>
[Uridoki] Develops Statistical Forecasting Model to Estimate Appraisal Market Prices as 5th AI-Powered Proprietary System
https://prtimes.jp/main/html/rd/p/000000107.000015081.html
A new "Reference Prices for Popular Items" section has been added to the homepage, allowing users to check estimated resale prices across multiple product categories.
Additionally, after completing an appraisal request, users will see popular related items and their price information based on the category of the item they submitted.
This feature encourages users to consider appraisal and resale for other items they own, creating new opportunities for additional appraisals.
*The displayed prices are reference values calculated by the Resale Appraisal Market Forecast Model and may differ from actual appraisal prices due to item condition, market trends, and other factors.
Background of Service Implementation
When users consider selling unwanted items, knowing "approximately how much the item might be appraised for" is a key factor in deciding whether to proceed with appraisal or resale.
However, for items not currently under active consideration for resale, opportunities to learn about potential appraisal values are limited. As a result, such items may remain stored indefinitely or be discarded without ever being considered for resale.
Uridoki believes that providing accessible reference pricing—not only for items users are already considering selling, but also for items they hadn't previously considered—can help surface latent selling demand and promote reuse.
By offering "reference prices" based on the "Uridoki Predictive Valuation Model," the company has created a service environment where users can check estimated values for items similar or related to what they own, encouraging them to consider appraisal and resale.
Future Outlook for AI Development
To date, Uridoki has leveraged AI to enhance platform safety and reliability—such as detecting abnormal appraisals, analyzing uploaded images from appraisal requests, and evaluating reviews—while also expanding into user convenience and service adoption, including automatic product categorization and now the provision of reference pricing.
Furthermore, the current model enables analysis not only of appraisal price data but also of user appraisal behavior data, such as appraisal request rates by product category. The company is currently exploring how to apply these analytical insights to improve user-facing features and overall service experience.
Moving forward, Uridoki will continue to leverage its accumulated proprietary product and appraisal data, integrating model analysis results into new service features and functionality. Additionally, data newly collected through service usage will be used to refine existing models and develop new features.
By continuously transforming proprietary data and technology into service value, Uridoki aims to enhance user convenience, expand service usage opportunities, strengthen its competitive position as a C2B resale platform, and achieve sustainable business growth and increased corporate value.
About the C2B Resale Platform "Uridoki" "Uridoki" is a matching platform connecting individuals who wish to sell items with professional buyers. The platform operates two core services: the matching service "Uridoki!" and the web media outlet "Uridoki Plus," which publishes articles related to reuse.
With "Uridoki!", users input photos and condition details of their items to request appraisals and receive estimates from multiple professional appraisers. Without needing to contact multiple stores individually, users can compare buyback prices through a single application.
Using the messaging function, users can communicate directly with appraisers to sell to the buyer that best meets their needs—whether they want the highest price, a quick sale, or a highly rated buyer based on customer reviews.
Uridoki URL: https://uridoki.net/ For buyer inquiries: https://uridoki.net/shop_entries
FACT BOX
- Source: PR TIMES
- Category: New Product
- Products / services: Uridoki Predictive Valuation Model