AI-Powered Merchant Sentiment Analysis Tool
Problem
The merchant support team was manually sifting through thousands of merchant feedback signals across multiple data sources, with no unified view and no way to detect sentiment trends at scale.
Solution
Built an internal Flask application integrating the Google Gemini API to automatically classify and summarize merchant sentiment. Implemented cross-source data integrity checks and automated categorization pipelines, with a clean internal UI for the support team.
Result
Transformed a manual, error-prone review process into an automated workflow. The team gained actionable insights in hours instead of days, enabling faster and more targeted merchant interventions.
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