Corporate Business Support System for BtoB Market Analysis
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Solution Overview
Problem
Current marketing technologies are inadequate in supporting corporate business activities due to the complexity and variability of business-to-business (BtoB) transactions, as they are primarily designed for business-to-consumer (BtoC) marketing, making it difficult to effectively analyze changes in customers, competitors, and markets, and identify potential demands.
Innovation Solution
A corporate business support system that forms populations of text and words related to customers, companies, and competitors, extracts change keywords based on appearance ratios, and identifies co-occurrence words to provide targeted marketing insights and proposals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If marketing technologies designed for BtoC are applied to BtoB, then existing marketing capabilities can be utilized, but the technologies are inadequate due to the complexity and variability of BtoB transactions
Solution Approach 1:
The patent changes the analytical parameters from BtoC-focused metrics to BtoB-specific parameters including change keywords (words with appearance ratio change ≥5 percentage points), co-occurrence words (words appearing together in both customer and competitor contexts), and structured population comparisons across different time periods. This parameter transformation enables the marketing technology to adapt to BtoB transaction complexity while maintaining analytical rigor
2Ease of operation
If manual support methods are used for corporate business, then flexibility in handling diverse operations can be maintained, but information collection is insufficient due to tightening information security
Solution Approach 1:
The patent introduces an automated information processing system that acts as an intermediary between public information sources and corporate business analysis. The system collects and processes information from externally accessible sources (company websites, news, social media) without requiring direct access to internal corporate systems, thus bypassing information security restrictions while enabling comprehensive analysis through automated population formation and keyword extraction
3Measurement precision
If comprehensive data analysis is performed to identify potential demands, then market insights can be improved, but the complexity of analyzing changes in customers, competitors, and markets increases
Solution Approach 1:
The patent segments the complex analysis task into distinct functional modules: (1) population formation unit that organizes data by time periods and target objects, (2) change keyword extraction unit that identifies words with significant appearance ratio changes, (3) co-occurrence word extraction unit that finds words appearing in both customer and competitor contexts, and (4) output unit that presents structured results. This segmentation reduces analytical complexity while maintaining comprehensive market insight capability
Data Source
AI summary
A corporate business support system includes a population forming unit, a change keyword extraction unit, a co-occurrence word extraction unit, and an output unit. The population forming unit forms a population for each type of element of 3C (customer, company and competitor) and for each of predetermined periods. The change keyword extraction unit extracts a change keyword based on the formed populations. The co-occurrence word extraction unit extracts a change keyword included in both populations as a co-occurrence word among the extracted change keywords in a combination of a company and a customer and a combination of the company and the competitor which are elements of 3C. The output unit outputs text including the extracted co-occurrence word in association with one of the combination of the company and a customer and a combination of a company and a competitor.