Language Model Report Generation for Company Data

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Solution Overview

Problem

Existing methods for responding to user inquiries and promoting products or services are inefficient, leading to wasted time and manpower, and often result in unsatisfactory responses due to human subjectivity and bias.

Innovation Solution

A method and system that uses a large language model to efficiently respond to user inquiries and generate strategy reports by processing company data and consultee data, allowing for effective product or service promotion.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual methods are used to respond to user inquiries and promote products, then human judgment and flexibility can be applied, but time and manpower are wasted and efficiency is low

Engineering Contradiction:
Improveresponse efficiencyVSAvoidtime spent on manual inquiries
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system enables automated self-service through the language model that can independently process user inquiries, generate responses, and create strategy reports without requiring manual human intervention for each interaction, thereby resolving the contradiction between maintaining quality responses and reducing time consumption

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual process of responding to inquiries with an automated language model system that uses AI algorithms to process information and generate responses, substituting human manual labor with an automated computational system to improve efficiency while maintaining response quality

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If manual methods are used to respond to user inquiries, then human creativity can be applied, but human subjectivity and bias lead to unsatisfactory responses

Engineering Contradiction:
Improveresponse objectivityVSAvoidmarketing efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent replaces the mechanical human decision-making process with an automated language model system that processes information objectively without human subjectivity or bias, using AI algorithms to generate consistent and reliable responses that improve both response objectivity and marketing efficiency

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Ease of operation

If individual inquiries are answered manually, then personalized attention can be provided, but the process is time-consuming and manpower-intensive

Engineering Contradiction:
Improvepersonalized response qualityVSAvoidtime per inquiry
Core Design Contradiction:
Ease of operationVSLoss of time

Solution Approach 1:

The language model system performs multiple functions simultaneously - it can respond to individual user inquiries with personalized attention while also generating comprehensive strategy reports and analyzing company data, thereby providing personalized service without increasing time consumption per inquiry

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentEP4542467A1Method and system for generating report using company data
Publication Date: 2025.04.23 42 MARU INC
  • EP4542467A1 patent drawingFigure 1
  • EP4542467A1 patent drawingFigure 2
  • EP4542467A1 patent drawingFigure 3

AI summary

The present invention relates to a method and system for generating a report using company data. There is provided a method of generating a report using company data, according to the present invention, the method may include: collecting subscription company data related to a company subscribing to a platform; storing the collected subscription company data in association with a subscription company account; receiving consultation information through a consultation channel associated with the platform; specifying a consultee from the consultation information, and collecting consultee data related to the specified consultee; generating a report related to the specified agent, using a language model with at least some of the subscription company data and the consultee data as input; and providing the generated report to a subscriber account of the subscription company.