Rank margin leaks
Prioritize store, shift, channel and product issues by estimated impact and urgency.
Revenue Radar product demo
Restaurant intelligence for margin leaks, store performance and owned actions.
Revenue Radar connects POS, receipts, reviews, menu performance, weather and store-level signals so operators can rank issues, inspect evidence, assign actions and measure results.
Product
Built for restaurant operators who need evidence, not another report.
The public demo uses synthetic London restaurant group data. The product workflow is designed for real operating questions: where margin is leaking, why it is happening, who owns the fix, and whether the action changed the metric.
Connect evidence
Bring receipts, reviews, menu movement, benchmarks and weather context into the same recommendation.
Recommend actions
Translate the signal into a next-service move with an owner, due date and target metric.
Track impact
Review action outcomes after 7, 14 and 30 days instead of letting issues disappear into reporting.
Agentic AI grounded in restaurant evidence
Designed to move from issue to owned action without losing the evidence.
Revenue Radar does not just summarize dashboards. It connects POS, receipts, reviews, menu and weather signals, then proposes the next action with evidence, confidence, owner and metric to monitor.
Margin leaks Operational issues Menu opportunities Evidence Action tracking
What To Notice
What a restaurant operator should notice in the demo.
The demo is synthetic, but the operating pattern is the important part: ranked issues, supporting evidence, and a closed loop from signal to measurable action.
Revenue leaks are ranked by estimated impact.
The highest-value problems rise first so leadership can focus on the next action, not every metric.
Every recommendation includes evidence.
Receipts, reviews, benchmarks and operating signals sit beside the action instead of in separate tools.
Receipts and reviews connect to store actions.
Guest complaints, basket movement and refund patterns are tied back to a location and owner.
Forecast and weather signals become moves.
Demand context can become prep, staffing, stock or channel decisions for the next service.
Action Tracker closes the loop.
Each issue has an owner, target metric, status and follow-up window for measuring impact.
Pilot scope can start light.
The first version can use safe POS exports, menu files and review sources before deeper integrations.
Pilot
Build the first Revenue Radar view around your restaurant group.
Share your location count, POS system, review sources, delivery channels and the operational metric you want to improve. The first step should not require sensitive customer data.