Recommendations Engine finds the gaps in your frontline operations and tells you how to fix them through training.
Turn operational signals into action.
Recommendations Engine finds the gaps in your frontline operations and tells you how to fix them through training. Live today with guest feedback. More signals are on the way.
Turn operational signals into action
Trusted by thousands of locations across restaurants, fitness, car wash, and beyond.
Most training programs run on a schedule. Problems don't.
Every guest review, missed answer, and search query tells you where your teams need support. Recommendation Engine turns these signals into targeted training, so course correction becomes turnkey.
HOW IT WORKS
How Recommendation Engine works
Connect your data
Connect guest feedback reviews manually or via one of our integration partners. More signals, like resource search queries, task and audit submissions, and knowledge check results are on the way.
Opus spots patterns and points to the fix
Opus clusters recurring issues by theme and location. Each recommendation ships with affected stores, sample evidence, and a training action.
Show the lift
After training fixes are live, Opus tracks the signal before and after. See complaint trend and rating movement on each affected location to see if it moved the needle..
Social Proof
🚀 What teams see with Opus Recommendations Engine
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Recommendations you can act on
Built for cross-signal intelligence
AI connects guest feedback, SOP search activity, knowledge checks, and more to uncover your next highest-impact training action.
Action-ready recommendations
Opus matches recommendations to content in your existing training library, and drafts the fix for you.
Store-specific targeting
Identify which specific stores are most affected by each issue and deploy targeted training only where needed.
Performance impact tracking
Track the signals behind every recommendation before and after training to see what changed.
Frequently asked questions
What signals are live today?
Guest Feedback is the first live signal in Opus Recommendations, available to all customers. This signal analyzes reviews from Google Business, Ovation, Tattle, or CSV and provides targeted training recommendations to prevent drops in review scores. Other signals are on the way, including Ask Opus resource search queries, task and audit submissions, course feedback, knowledge check results, and training engagement.
What happens after I act on a recommendation?
Opus measures the impact of every recommendation you implement. Guest complaint trends, ratings, and other operational signals are tracked before and after each change, making it easy to see what works and where to invest next.
Is Opus Recommendation Engine suitable for franchise brands?
Yes. Franchises benefit specifically because location-level targeting and franchisee visibility help drive consistency at scale. Operators see exactly which locations are affected and can deploy training where it matters.
What's the revenue impact of acting on Recommendations?
Guest experience directly impacts revenue. According to Black Box Intelligence, every 0.1-star decline in rating costs the average QSR about $12,500 per location annually. Early Opus customers who implemented recommendations reduced their top guest complaint by up to 60% within 30 days, helping protect ratings and revenue.
What's the pricing?
Opus Recommendation Engine, including guest feedback integration, is included in Opus Growth and Enterprise subscription. Contact us for specific plan pricing.
Will Opus Recommendation Engine work for non-restaurant brands?
Yes. Guest feedback is most mature in restaurants, but the engine can analyze any customer feedback review from Yelp, Google Business Reviews, etc. Future signals (audits, training activity and feedback) apply universally.
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