Business structuring system and business structuring method

The business composition system efficiently identifies optimal suppliers for hardware product components by decomposing business proposals, extracting company information, and ranking suppliers using LLM index values, addressing the challenge of lengthy supplier identification processes.

JP2026110359AActive Publication Date: 2026-07-02HITACHI INDUSTRY & CONTROL SOLUTIONS LTD
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Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
HITACHI INDUSTRY & CONTROL SOLUTIONS LTD
Filing Date
2024-12-20
Publication Date
2026-07-02

AI Technical Summary

Technical Problem

Existing systems fail to efficiently identify optimal suppliers for multiple components required in hardware product development, as they do not account for the comprehensive selection of companies that manufacture these components, leading to lengthy processes in finding suitable partners.

Method used

A business composition system utilizing a business component decomposition unit, company information extraction unit, LLM index value calculation unit, and ranking unit to decompose business proposals into components, extract relevant company information, evaluate using large-scale language models, and rank suppliers based on LLM index values.

Benefits of technology

Enables rapid identification of optimal supplier enterprises for each part related to the hardware product business, streamlining the supplier selection process and reducing time to market.

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Abstract

From conceptualizing a hardware product business, we identify the optimal suppliers for each component related to that hardware. [Solution] The business composition system 5 includes a business component decomposition unit 22 that receives data of a business plan 42 and decomposes it into elements or groups of parts that constitute the business plan 42; a company information extraction unit 24 that, if the elements decomposed by the business component decomposition unit 22 are parts, extracts company information about multiple companies that produce these parts; an LLM index value calculation unit 26a that calculates LLM index values ​​by evaluating the company information about the multiple companies extracted by the company information extraction unit 24 using a large-scale language model server 31; and a ranking unit 27 that ranks the multiple companies based on the LLM index values.
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