AI Competitive Intelligence Software is a full-stack application that helps businesses track competitors, detect market trends, and generate actionable intelligence reports. You receive complete source code for both backend and frontend, which you can deploy on your own infrastructure and modify as needed.
The system monitors competitor websites and public information, then applies sentiment analysis to classify content into five categories: positive, negative, neutral, aggressive, and defensive. Trend detection algorithms identify emerging patterns, declining momentum, cyclical behaviors, and anomalies in competitive data. The natural language processing engine extracts entities, keywords, and strategic themes from collected information. Predictive analytics forecast likely competitor moves and market opportunities based on historical patterns. All analysis results feed into automated report generation that synthesizes findings into comprehensive intelligence documents. Real-time alerting notifies you of significant competitive events, sentiment shifts exceeding 20%, detected anomalies, and high-probability strategic moves.
You can add multiple competitors by entering company name, website URL, industry, and description. The system scrapes public web pages, processes the content through AI models, and displays results across overview, sentiment, trends, insights, and predictions tabs. Multi-competitor comparison lets you benchmark performance across your competitive set. The dashboard shows total competitors tracked, daily analysis count, active alerts, and data collection metrics. All data stores locally in SQLite with no external transmission.
The application uses synthetic data generation to improve coverage and protect user information during development and testing. Technical requirements include Python 3.9 or higher, Node.js 16 or higher, 4GB RAM minimum with 8GB recommended, and 10GB available disk space. The software runs on Windows, macOS, or Linux. Startup scripts simplify deployment for non-technical users, while technical users can follow detailed setup documentation. The technology stack includes Python Flask backend with scikit-learn for machine learning, React 18 frontend with Tailwind CSS styling, and BeautifulSoup4 for web scraping. Total codebase exceeds 5,400 lines across backend and frontend components.
You may install and operate the software for internal business purposes or build a materially new, closed-source product or SaaS offering for your own customers. You may modify the source code for your own use. The sentiment analysis uses rule-based keyword matching rather than deep learning models. Web scraping respects robots.txt directives and rate limits. Basic technical knowledge and development skills are required to deploy and maintain the application.
IMPORTANT NOTE: This application has been fully developed with all features implemented. However, it has not been tested in a live production environment. Buyer should expect to perform integration testing and may encounter minor bugs that require fixing. Basic technical knowledge and development skills are required.
NO REFUNDS: Due to the digital nature of this software, all sales are final. No refunds will be provided under any circumstances.
LICENSE TERMS: Seller retains full ownership and control. Purchase grants a non-exclusive, non-transferable, perpetual license—AS IS, no support/updates, no refunds, no other obligations. Buyer may build and operate a materially new, closed-source product (including SaaS/paid service) for their own business/customers. Buyer may not open-source or disclose the application, nor resell, redistribute, rebrand, sublicense, or use the application (or any derivative) to create a competing or substantially similar product. License terms may be updated or changed at any time; continued use constitutes acceptance.
