Trading and receipts
See revenue, gross profit, refunds, voids, discounts, baskets and daypart patterns by location.
Restaurant intelligence for multi-location operators
Find revenue leaks across your restaurant locations before they hit your P&L.
Revenue Radar connects POS, receipts, reviews, menu performance, weather and store-level signals so operators know which location, shift, product or guest issue needs action next.
Connect the data POS, receipts, reviews, menu, weather and delivery/platform exports.
Find the leak Margin gaps, refund spikes, weak attach, poor sentiment and delivery fee drag.
Act and measure Owner, recommended action, metric and 7/14/30-day result in one loop.
Product
Agentic AI that turns restaurant signals into owned actions.
It helps restaurant groups connect POS, receipts, reviews, menu data, weather and store performance to find margin leaks, assign owners and measure impact.
Product mix and attach
Spot weak drink or dessert attach, high-volume margin pressure and products dragging sentiment.
Reviews and feedback
Connect review themes to stores, shifts, products and actions instead of reading feedback in isolation.
Weather and store context
Turn demand signals, benchmarks and local context into prep, staffing and channel decisions.
Agentic AI for restaurant operations
Every issue moves from detection to measured result.
Revenue Radar uses agentic workflows to identify the risk, understand the evidence, propose the next action, assign the owner and check whether the fix worked. Operators stay in control.
Detect
Find the store, shift, product or channel creating revenue or margin risk.
Explain
Show estimated financial impact, source evidence and confidence behind the recommendation.
Assign
Turn the signal into an owned action for the next service, week or trading window.
Measure
Review the result after 7, 14 and 30 days against the agreed pilot metric.
Live Restaurant Demo
Inspect a Revenue Radar product demo built around restaurant operations.
The live demo shows ranked margin leaks, review and receipt evidence, menu opportunities, weather-led preparation signals and an action tracker for owned follow-up. The sample data is synthetic, but the pilot workflow is the same one we use to scope real restaurant groups.
Margin leaks Receipt evidence Review signals Action tracking
What Revenue Radar Connects
The operating sources behind restaurant margin and store performance.
A pilot can start from lightweight exports and expand into deeper integrations once the team knows which leaks, actions and metrics matter most.
POS and receipts
Orders, baskets, gross sales, refunds, voids, discounts, dayparts and tender context.
Menu and product mix
Category performance, product margin, attach patterns, modifiers and product-level risk.
Reviews and guest feedback
Review sources, sentiment themes, complaint clusters and evidence linked to location actions.
Delivery channel data
Marketplace revenue, fees, discounts, cancellation patterns, prep pressure and channel margin.
Refunds, voids and discounts
Exception rates compared with peer stores, trading windows and historical baselines.
Weather and local events
Demand signals that can influence prep, staffing, stock and service readiness.
Store benchmarking
Like-for-like comparisons across locations, channels, service periods and menu categories.
Action ownership
Owner, recommended action, due date, target metric and follow-up result.
Problems We Find
Practical restaurant issues ranked by impact and evidence.
Revenue Radar prioritizes the problems that can be owned by an operator, area manager, GM, menu lead or commercial partner in the next trading cycle.
Service
Refund recovery Dinner service creating refunds
Find the store, shift and issue type behind refund spikes before the pattern becomes normal.
Channel
Channel margin Delivery revenue growing while margin falls
Connect channel growth with fee drag, discounts, cancellations and prep pressure.
Attach
Basket lift Low drink or dessert attach at lunch
Compare attach by store, daypart and menu category to target the next service action.
Menu
Menu quality High-selling item damaging sentiment
Link popular products to negative review themes, refunds or poor repeat signals.
Benchmark
Store performance Store underperforming peer locations
Separate genuine underperformance from location mix, weather, channel and daypart effects.
Prep
Next service Weather demand not matched by prep
Use weather and local signals to tighten staffing, stock and production decisions.
Pricing
Founder pricing for focused Revenue Radar pilots.
Start small, prove the margin opportunity, then decide whether to expand. These early prices are designed for restaurant groups that can begin with safe exports and a clear operating question.
Revenue Leak Scan
£490 one-off
A lightweight snapshot using safe exports and public review sources.
- Initial POS/export review
- Menu and review source scan
- Short ranked leak summary
- Next-step pilot recommendation
Founder Pilot
£1,250 fixed
For early restaurant groups with up to 5 locations.
- POS export mapping
- Menu data and review sources
- Ranked margin leaks with evidence
- Recommended actions and pilot metrics
Group Pilot
£2,500 fixed
For 5-15 locations with more benchmarking and operating sources.
- Store benchmarking
- Delivery/platform exports where available
- Action ownership view
- Pilot success metrics
After The Pilot
from £350/mo + £29/location/mo
A private Revenue Radar workspace after the pilot proves useful.
- Data refreshes
- Action tracking
- Ongoing improvements
- Light support and iteration
Founder pricing is available for the first restaurant groups while Revenue Radar is being shaped with real operators. No sensitive customer data is required for the first scoping step.
Pilot
Start with a focused Revenue Radar pilot.
The first step should prove the operating loop without asking your team to expose sensitive customer data before there is a clear business case.
Map your operating shape
We map your locations, POS exports, menu data, delivery sources and review channels.
Build a private demo
We create a private operating demo around your restaurant group, starting from safe sample fields.
Rank the leaks
You get ranked revenue leaks, evidence, recommended actions and pilot metrics.
Contact
Show us where your restaurant group is leaking margin.
Tell us your location count, POS system, delivery platforms, review sources and the metric you want Revenue Radar to improve in the next 30 days.