AI Service Proposal Generation for Business Operator Matching
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Solution Overview
Problem
Existing systems fail to appropriately propose services to business operators, with reliance on person-dependent analysis and difficulty for small or medium-sized businesses to identify issues and solutions, leading to lost opportunities.
Innovation Solution
An information processing device utilizing generative AI, specifically a generative pre-trained transfer (GPT) model, to estimate and generate explanatory content for proposed services based on business operator information, including service switching and budget considerations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If person-dependent analysis is used to propose services to business operators, then service proposals can be customized, but the process becomes inefficient and inaccessible for small or medium-sized businesses
Solution Approach 1:
The system enables self-service through automated AI-driven service proposals. The estimation unit automatically analyzes business operator information and generates service proposals without requiring manual analysis by operators, making the system accessible to small and medium-sized businesses while maintaining efficiency through automation
Solution Approach 2:
The patent replaces manual person-dependent analysis with an automated information processing system using AI models. The estimation unit and generation unit automatically process business operator information to create service proposals, substituting mechanical manual analysis with automated computational processes
2Ease of operation
If automated service proposals are generated without explanatory content, then the proposal process is simplified, but business operators cannot understand how to use the services
Solution Approach 1:
The patent segments the proposal output into distinct components: service information from the estimation unit and separate explanatory content from the generation unit. This segmentation allows clear differentiation between the service proposal itself and the explanatory guidance, making the system easier to operate while managing complexity through modular architecture
Solution Approach 2:
The generation unit acts as an intermediary that translates complex service proposals into understandable explanatory content. It processes the estimated services and creates user-friendly explanations that bridge the gap between technical service details and business operator understanding
Data Source
AI summary
An information processing device according to the present application includes: an acquisition unit that acquires business operator information of a business operator; an estimation unit that estimates a proposal service to be proposed from among a plurality of services based on the business operator information; a generation unit that generates explanatory content describing a use mode when the business operator uses the proposal service; and a provision unit that provides the explanatory content.


