Three layers of menu intelligence.
We pair transactional POS records with guest feedback to tell you exactly what to reprice, promote, or retire - with context that guests will be fine.
Product Economics Engine
Computes contribution margin, profit velocity, and mix percentage for every product on your menu. Items are dynamically classified into Stars, Plowhorses, Puzzles, and Dogs based on statistical baselines.
“House Margarita classified as Star (high margin, high popularity). Chicken Wings flagged with cost drift (margin compressed 12% recently due to ingredient cost increase).”
Live Classification Matrix
Guest Sentiment Analyzer
Experience Intelligence
Surfaces guest-experience signals from public reviews by day-part and channel - what guests consistently praise, and where friction shows up. Instead of a generic venue rating, know exactly what guests say about specific menu items.
“'wilted greens' recurs across recent Garden Salad reviews - a quality issue worth catching before margin drops.”
Decision Support & Outcomes
Consolidates economics and experience signals into Decision Cards with specific actions and estimated impact. Once accepted, we track covers and check sizes to see whether the change worked.
“Accepted reprice card for Fish Tacos: estimated impact tracked over 30 days. Checks monitored for volume anomalies.”
Onboard in 10 minutes.
No developers required. No complex APIs to build.
Connect POS
Connect Square directly (or drop a POS CSV export). We pull your history instantly.
Passive Pull
RevenArc parses your historical transactions and imports guest review signals from public channels.
Matrix Ready Same Day
Your full matrix is ready once your data finishes loading. Same-day timing depends on the source having usable history.