Automated merchant review summary system with integrated feedback

This post details the technical pipeline for the Automated Merchant Review Summary System. Key contributions include: 1. Representative sampling using stratified sampling based on merchant rating distribution and sentiment analysis to ensure sample diversity. 2. LLM-based generation of overall and topic-specific summaries (e.g., taste, packaging, portion size). 3. LLM-based quality control to validate summary claims against source reviews. 4. A feedback-driven maintenance flow with triggers for new reviews and consumer feedback to regenerate summaries. The system aims to improve consumer understanding of merchant offerings and provide merchants with actionable insights.