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Launched an AI-powered review analytics platform that analyzed customer feedback in real time to extract sentiment trends and actionable product insights.
More case studiesIndustry: Electronics E-commerce
Core business: Online retailer of consumer electronics
Employees: 65
Geography: US & EU
Platform scope: Review analytics engine, sentiment dashboard, website integration
Large volumes of text reviews difficult to analyze manually
Recurring complaints were not systematically detected
Customer service reacted late to emerging issues
Built transformer-based models to classify sentiment and extract key themes
Identified recurring praise and complaint patterns
Provided actionable insights to product and support teams
Updated models based on new review data to prevent drift
Customer satisfaction score increased by 24%
Support tickets related to recurring issues decreased by 35%
Emerging product defects were identified weeks earlier
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