"Enhancing Transaction Reliability"... Junggonara Registers Patent for AI Self-Inspection

From Product Grading and Price Suggestions
to Objection Verification and Seller Warranty

Junggonara announced on July 8, 2026 that it has completed the registration of a domestic patent for a core technology that enhances transaction reliability through artificial intelligence (AI) self-inspection.

The key aspect of this patent is that AI not only analyzes the condition of products to suggest grades and prices, but also verifies the objectivity of any objections raised by sellers regarding inspection results, and automatically reflects these results in the transaction information. In addition, the system combines a seller warranty process, providing a technical structure that further supports transaction reliability.

This technology allows the AI to comprehensively analyze photos and text descriptions submitted by the seller, automatically determining the product’s condition—such as scratches, dents, or damage—and detecting inconsistencies between image analysis results and post descriptions. This enables the system to identify potentially false or inaccurate product information in advance.

Junggonara has completed domestic patent registration for core technology that enhances transaction reliability through artificial intelligence (AI) self-inspection. Junggonara

Based on the detected product condition and a model trained on past transaction data, the AI proposes an appropriate selling price for each product. If a seller objects to the inspection result, the system assesses the objectivity of the objection using the submitted evidence, and automatically regenerates the transaction listing to reflect any changes in product grade or price.

This allows both sellers and buyers to access more accurate transaction information, reducing information asymmetry regarding product condition and enabling more rational transaction decisions.

Junggonara emphasized that this patent registration secures the core technological foundation for its official AI self-inspection service, which includes product grading analysis and price suggestion functions. While existing self-inspection services have focused mainly on simple image analysis and inspection features using AI, the company now aims to establish a comprehensive AI-based transaction trust system encompassing product grading, pricing, inspection result verification, and warranty, thereby enhancing reliability for both sellers and buyers. Furthermore, with this patent registration, Junggonara plans to accelerate the official launch of its AI self-inspection service and expand its application across various product categories.

Choi Inuk, CEO of Junggonara, stated, "This patent could serve as an important foundation for building an objective and verifiable trust system in peer-to-peer transactions using AI technology. Going forward, we will continue to create a platform environment where everyone can trade with confidence, based on AI and data technology."

This content was produced with the assistance of AI translation services.