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This commit introduces a full-featured web application for analyzing unbalanced quotes. It includes data import, basic analysis, anomaly detection (horizontal and vertical), cost reduction analysis, and AI-powered decision support. The UI is built with Tailwind CSS and integrates Chart.js for visualizations. Key features include dynamic category management, configurable analysis parameters, and detailed reporting. Co-authored-by: kia660067 <kia660067@gmail.com>
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Introduce a category configuration system and longitudinal unbalanced quotation analysis to enable attribute-based pricing anomaly detection, complementing the existing horizontal analysis.
The existing system only performed horizontal comparisons (supplier vs. supplier for the same item). This PR adds a category management UI to define product-specific fields (base, analysis, suppliers) and introduces a new "Longitudinal Analysis" tab. This new analysis uses configured "analysis fields" to check if price changes follow defined monotonic (e.g., price increases with core count) or ordinal (e.g., price increases with IP rating) rules, flagging deviations as anomalies. This significantly expands the model's ability to identify irrational pricing beyond simple peer comparison, without affecting the original horizontal analysis.