Yelp & Google Reviews Sentiment Aggregation for a US Restaurant Chain

Industry

Hospitality / Restaurant / Reputation Management

Geography

United States — 850 restaurant locations across 40 states

Data Coverage

Reviews, ratings, response patterns, theme & sentiment extraction, photo metadata

Client Overview

The client is a fast-casual US restaurant chain operating 850 corporate and franchised locations across 40 states. With customer perception driving repeat visits and review sites driving new visits, the client needed continuous, location-level visibility into review sentiment, themes, and competitor performance.

A single location's rating drop from 4.5 to 4.2 stars typically correlated with a 12–18% sales decline within 90 days.

Business Challenges

Review Volume at Scale

850 locations generated 12,000+ new reviews per month across Yelp and Google — manual reading was impossible.

Theme Extraction from Free Text

Review text needed structured parsing into themes (food quality, service speed, cleanliness, value, ambiance) for operational action.

Response Time & Quality

Management response time and tone directly affected future star ratings — but no central visibility existed.

Competitor Benchmarking by Location

Each location had 5–10 local competitors — benchmarking required local granularity, not national averages.

Project Objectives

The client partnered with Actowiz Solutions to:

• Aggregate Yelp + Google reviews across 850 locations weekly
• Run NLP sentiment + theme extraction on all reviews
• Track location-level rating trends with anomaly detection
• Monitor management response time & quality
• Benchmark each location against 5 local competitors

Actowiz Solutions Approach

Weekly Multi-Platform Crawl

Crawled Yelp and Google reviews for all 850 locations + competitors weekly, with daily refresh for top-100 locations.

NLP Theme & Sentiment Engine

Fine-tuned model extracted themes (food, service, cleanliness, value, ambiance, wait time) and sentiment polarity from every review.

Anomaly Detection

Statistical models flagged locations with sudden rating drops, theme shifts, or response-time degradation — triggering alerts to area managers.

Competitor Local Benchmarking

For each location, identified its 5 nearest similar competitors and computed comparative ratings, theme strengths, and weaknesses.

Management Dashboard

All insights delivered into a multi-tier dashboard: brand HQ → regional → district → store-level — enabling action at every layer.

Key Features

• 850 location coverage across Yelp + Google
• Weekly + daily refresh tiers based on location priority
• NLP theme & sentiment extraction
• Location-level rating anomaly detection
• Management response time & quality monitoring
• Local competitor benchmarking (5 comps per location)

Business Impact

Within 9 months:

• $8.7M sales impact from location-level operational fixes
• 23% improvement in average rating across the bottom-quartile locations
• 55% faster management response time to negative reviews
• 42 locations escalated for franchise compliance interventions
• $320K saved on commercial reputation management subscriptions

Testimonial

"We thought we knew our locations — until Actowiz showed us what 12,000 customers were saying every month. We turned reviews from a vanity metric into our operational compass."

— Chief Operations Officer, US Fast-Casual Restaurant Chain

Conclusion

Customer reviews are the most underutilized operational signal in US hospitality. Actowiz Solutions transformed 12,000 monthly reviews per month into a structured, location-level, operationally-actionable intelligence layer that drove $8.7M in measurable sales impact across 850 locations.