AI Competitive Analysis System for Real-Time Market Entity Ranking

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Solution Overview

Problem

Competitive analysis in businesses is challenging due to the multifaceted nature of companies, high costs of hiring third parties, and susceptibility to subjective judgments and bias, especially when trying to identify and compare competitors effectively.

Innovation Solution

A method and system using artificial intelligence to identify potential competitors by searching a knowledge corpus with seed terms, weighting mentions, and generating a competitive analysis report that is updated in real-time, reducing bias and providing dynamic insights into a target business's favorability compared to competitors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If third-party competitive analysis is hired, then analysis expertise is obtained, but cost increases

Engineering Contradiction:

Improveanalysis expertiseVSAvoidcost

Core Design Contradiction:

Measurement precisionVSQuantity of substance

Solution Approach 1:

The system enables organizations to perform their own competitive analysis using automated web scraping, data processing, and AI-powered sentiment analysis tools, eliminating the need to hire expensive third-party consultants while maintaining high analysis quality through self-contained analytical capabilities

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual competitive analysis processes are replaced with automated computational systems that scrape data from multiple sources, process information through machine learning models, and generate reports automatically, substituting human expert labor with scalable technological infrastructure

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If traditional competitive analysis methods are used, then analysis is performed, but subjective judgments and bias are introduced

Engineering Contradiction:

Improveanalysis capabilityVSAvoidobjectivity

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

Human subjective judgment in competitive analysis is replaced with objective computational algorithms that systematically scrape data from multiple independent sources, apply consistent sentiment analysis frameworks, and generate quantifiable competitive intelligence reports free from human bias

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

An automated data processing system acts as an intermediary between raw market information and analytical conclusions, using standardized scraping protocols and AI-powered sentiment analysis to objectively translate unstructured web data into reliable competitive insights without human intervention

Inventive Principle:

Principle #24Intermediary (Mediator)

3Reliability

If comprehensive competitive analysis is performed, then all available resources are utilized, but analysis complexity increases

Engineering Contradiction:

ImprovecomprehensivenessVSAvoidanalysis complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The comprehensive competitive analysis process is divided into distinct modular components: web scraping modules that collect data from multiple sources, data processing modules that clean and structure information, sentiment analysis modules that evaluate competitive positioning, and report generation modules that present findings, allowing each component to be independently optimized and managed

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The analytical platform is designed as a universal system that can simultaneously analyze multiple competitors across various market dimensions using the same core technology stack, enabling comprehensive analysis without proportionally increasing operational complexity through automated multi-source data collection and standardized processing pipelines

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Loss of time

If real-time competitive analysis is implemented, then up-to-date insights are provided, but data processing requirements increase

Engineering Contradiction:

ImprovetimelinessVSAvoiddata processing requirements

Core Design Contradiction:

Loss of timeVSUse of energy by moving object

Solution Approach 1:

The system implements periodic web scraping cycles that collect competitive data at scheduled intervals, processing information in batches rather than continuously, which reduces peak data processing requirements while maintaining timely competitive intelligence through regular updates to the analysis dashboard

Inventive Principle:

Principle #19Periodic action

Solution Approach 2:

The platform maintains continuous competitive monitoring through automated background processes that constantly scrape and update data from multiple sources, ensuring real-time insights are always available without requiring intensive on-demand processing by maintaining an ongoing data collection and analysis workflow

Inventive Principle:

Principle #20Continuity of useful action

Data Source

PatentUS20220188653A1Data driven ranking of competing entities in a marketplace

Publication Date: 2022.06.16 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

A method, computer system, and a computer program product for competitive analysis is provided. The present invention may include identifying one or more potential competitors by searching a knowledge corpus using one or more see terms. The present invention may include determining one or more competitors by eliminating at least one potential competitor. The present invention may include generating a competitive analyst report.