Amazon Seller, Ohio
Scrapes thousands of Amazon product reviews for any ASIN, processes them through a large language model for sentiment analysis, and extracts the top complaints, praises, and feature requests. Delivers a competitive intelligence report for sellers.
Client needed to understand why competitor products had mixed reviews and what changes would make their own product more competitive — but reading thousands of reviews manually was impossible.
Built a two-part system: a review scraper that collects all reviews for target ASINs, and an AI analysis pipeline that categorizes sentiment, extracts recurring themes, and generates a structured report with actionable recommendations.
Client improved product based on top complaints found. Amazon listing conversion rate increased 34%. Sales grew significantly in 60 days.
Python, LLM API, Selenium, Pandas, NLP, Excel reports