Wellness · South Asia · ML & Analytics
Ratings intelligence platform
70k+ reviews scraped and analysed for a leading South Asian fitness & wellness platform, with declining-score alerts that catch problems before they trend.
70k+
reviews analysed
Management sees emerging problems early, location by location — sentiment becomes an operational metric, not a quarterly surprise.
—Context
A leading South Asian fitness & wellness platform had thousands of reviews across locations but no systematic way to read sentiment or spot decline.
—Challenge
Turn unstructured review text into an early-warning signal management could act on, at scale and continuously.
—What we built
- Automated review collection across locations.
- An NLP sentiment model scoring every review and aggregating by location and time.
- Declining-score alerting that flags a location before its rating visibly drops.
—Outcome
Management sees emerging problems early, location by location — sentiment becomes an operational metric, not a quarterly surprise.
—Stack
MLNLPFinBERTPython
→Ready to ship
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