Reputation Intelligence

Turn online reviews into operational intelligence

Import reviews from Google, TripAdvisor, and delivery platforms. AI analyses every review for sentiment and compliance risks, then correlates findings with your shift data to surface patterns you can act on.

Reviews tell you what customers won't say to your face

But only if you can find them, analyse them, and connect them to what's happening in your operation

Reviews scattered across platforms

Google, TripAdvisor, Deliveroo — your reviews are spread across half a dozen platforms. Nobody has time to check them all, so problems mentioned in reviews go unnoticed.

No link to compliance

A customer mentions an allergic reaction in a Google review. Your compliance team doesn't see it because reviews and food safety live in separate systems.

Can't see who was working

A pattern of bad reviews on Tuesday evenings means nothing unless you can see which team was on shift. Without that connection, reviews are just noise.

Reactive, not proactive

By the time you spot a trend in reviews manually, it's been weeks. Hygiene complaints pile up while you're reading five-star reviews elsewhere.

Reputation management that connects to your compliance workflow

Paddl is the only platform that bridges online reviews directly into food safety compliance. When a review mentions an allergen reaction, your compliance team knows immediately — not weeks later.

Multi-Platform Ingestion

Connect Google Business Profile, TripAdvisor, and delivery platforms. Reviews from every source flow into one unified feed, normalised and deduplicated automatically.

AI Sentiment Analysis

Every review is analysed by AI to extract sentiment, themes (food quality, service, hygiene, wait time), and a numerical sentiment score for trending over time.

Compliance Flagging

Mentions of allergic reactions or food-related illness trigger immediate alerts to managers. Hygiene concerns are flagged as advisories. Reviews feed directly into your compliance workflow.

Shift Pattern Correlation

Reviews are automatically matched to which team was on shift during the customer's estimated visit. See which day/time combinations correlate with lower ratings.

Theme Trend Charts

Track how themes like food quality, service, and hygiene trend over a rolling 30-day window. Spot improvements or deterioration before they become patterns.

Shift Pattern Heatmap

A visual heatmap shows average ratings by day and time slot across each location. Instantly identify your weakest shifts and strongest performers.

Complaint Cross-Referencing

Reviews are automatically linked to any complaints logged around the same time and location. See the full picture of a customer incident in one place.

Legal & Audit Integration

Reviews are included in legal advice context and audit pack exports. When an incident escalates, every relevant review is already part of your evidence pack.

What our customers achieve

Real improvements from hospitality businesses using Paddl for reputation intelligence

Real-time
Compliance alerts
AI
Review analysis
Multi-platform
Unified feed
Shift-level
Pattern insights

How teams use reputation intelligence

Allergen Incident Detection

A customer mentions an allergic reaction in a Google review. Paddl flags it immediately and notifies the owner, linking it to the relevant shift and any related complaints.

Tuesday Evening Problem

The heatmap reveals that Tuesday evenings at one location consistently get lower ratings. Cross-referencing with shift data shows a pattern the manager can act on.

Hygiene Trend Monitoring

A gradual increase in reviews mentioning cleanliness is caught by theme trend analysis weeks before it would have been spotted manually, giving time to address it before the next EHO visit.

Multi-Location Comparison

Compare average ratings, sentiment, and theme breakdowns across all your locations. Identify which sites are improving and which need attention.

Industries using reputation intelligence

Ready to turn reviews into intelligence?

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