How to manage data related to a business's ESG evaluation.

JP2026104656APending Publication Date: 2026-06-25ASUNE CO LTD
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Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
ASUNE CO LTD
Filing Date
2024-12-13
Publication Date
2026-06-25

AI Technical Summary

Technical Problem

Businesses face inefficiencies in managing greenhouse gas emissions data, particularly in calculating SCOPE 3 emissions, due to varying data management methods and extensive data collection efforts, hindering operational efficiency improvements.

Method used

A method utilizing a management terminal that receives and analyzes data from business terminals, applies machine learning for image recognition and emission calculations, records data on a public blockchain, and generates reliable ESG evaluations using learning models to streamline data management and emission tracking.

Benefits of technology

Enables efficient management of ESG data by reducing workload, improving accuracy and operational efficiency in greenhouse gas emission calculations, and facilitating secure, transparent emission trading through blockchain technology.

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Abstract

The objective is to provide an efficient method for obtaining responses from businesses to questionnaires regarding ESG evaluations. [Solution] In a greenhouse gas emissions management system in which an administrator terminal and multiple business terminals are interconnected via a communication network, the management terminal performs a method for managing data related to the ESG evaluation of businesses. The control unit of the administrator terminal receives a diagnostic request from a business terminal regarding questions included in questionnaire data for ESG evaluation for supplier businesses, performs an analysis related to the reliability evaluation of the questions, and transmits the analysis results based on the analysis to the business terminal.
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