Know your numbers. Know your market. Decide with confidence.
Every week, a hospitality operator makes pricing, menu, and marketing decisions worth real money — usually on instinct, because the data lives in a dozen places nobody has time to read. CoversIQ reads it for you. It turns your own operating data into a ranked, dollar-quantified list of what to fix — and shows you what the restaurants you compete with are doing with their ads, social, menus, and pricing, so every move is informed instead of a guess. Built for restaurants. Built for the dining room inside a resort. Your judgment stays in charge of every decision.
Find the profit leaking out of your own numbers.
You know something’s off — margins thinner than the volume says they should be — but the evidence is scattered across point-of-sale exports, vendor invoices (a CSV or a photo), payroll, and recipe cards. CoversIQ normalizes all of it into one model, and then code, not guesswork, computes the findings: vendor price creep, popular items priced below margin, purchasing that quietly outruns the recipes — a weekly, ranked list of profit leaks in dollars. Every finding shows the exact data behind it, estimates are labeled as estimates, and nothing the AI reads enters the books until you confirm it. It runs where an operator actually works: on your phone. Monday morning, you open it and know exactly which three things to fix first.
live pilot, a family-owned bakery-café
evidence-backed, labeled medium-confidence by the system itself
The restaurant inside your resort, read on its own terms.
A resort’s F&B gets blurred into the property — the clubhouse dining room’s numbers, reviews, and online listing all tangled up with the hotel and the course. CoversIQ reads the restaurant itself: point it at your dining outlet’s own POS and invoices and you get the same weekly, dollar-quantified profit-leak list it runs for any restaurant. The hard part it solves is untangling — resolving your restaurant’s own listing out of the resort’s conflated data instead of mistaking the property for the restaurant. And it scores you against the competitive set guests actually choose between — not just the resort down the road, but the restaurants in town they compare your dining room against every time they decide whether to eat on property.
findings and re-audits land fresh every week
proven in the live restaurant pilot, our standing rule on every engagement
See what the competition is actually doing.
CoversIQ doesn’t stop at your own numbers. It shows you what the restaurants you compete with are doing right now — the ads they’re running and what makes them work, their social activity, their menus, pricing, and promotions — so your next move is informed instead of a guess. That competitive layer is powered by Footprint, Blackfrog’s competitive-intelligence engine, and it runs in production today advising a real family-owned bakery-café on exactly these decisions. Every finding is reviewed by a person before it reaches you.
Numbers you can bet the property on.
Code does the math.
Every margin, variance, and score is computed by deterministic code — the same inputs always produce the same answer. The AI never invents a number; if a figure is an estimate, it says so on the label.
AI reads the messy inputs.
Invoices, recipe cards, competitor menus, review pages — the reading no operator has time for. What it extracts is labeled, sourced, and confirmed by a person before it counts.
You stay the decision-maker.
The system makes the case with evidence; you make the call on every price, every menu, every campaign. That’s how we amplify an operator’s expertise and redeploy it to the decisions that matter. No staff displaced.
Everything on this page runs in production today, not on a roadmap — CoversIQ is in a live pilot with a family-owned bakery-café, where it both surfaces profit leaks in the owner’s real orders and advises them on competitive moves from what rivals are doing with ads and social. The numbers on this page come from that system, not projections. No staff displaced. How it works in a real kitchen → · The competitive engine →
Your market is already publishing its numbers. Start reading them.
Bring your restaurant — a POS export, a stack of invoices, or just the name of the competitor that worries you. We’ll point the platform at your real data and your real competitive set and show you what it finds — in dollars, with the evidence attached.
How do I find profit leaks in my restaurant?
The leaks are usually invisible in the moment but plain in the data. CoversIQ normalizes your POS exports, vendor invoices, payroll, and recipes into one model, then code — not guesswork — computes a weekly, dollar-ranked list of profit leaks: vendor price creep, popular items priced below margin, purchasing that outruns the recipes. In a live pilot across 43,501 orders it surfaced about $1,900/month in menu-pricing opportunity.
What can my POS data actually tell me about pricing?
More than an average ever will. Running on the pilot’s own data, CoversIQ flagged five high-volume items priced below average margin — evidence-backed, and labeled medium-confidence by the system itself because food costs were still owner estimates at the time. That honesty is the product: an analyst you can trust is one that tells you what it doesn’t yet know.
Do I need an ERP like Restaurant365 to do this?
No. Full restaurant ERPs are powerful but expensive and slow to roll out. CoversIQ is narrower on purpose — it answers “where am I losing money, in dollars, and what do I fix first” — and it runs where an operator actually works: on your phone. Monday morning you open it and know the three things to fix first.
Does it change prices for me?
Never automatically. Every finding shows the exact data behind it, estimates are labeled as estimates, and nothing enters your books until you confirm it. No staff displaced — you stay the decision-maker on every price, menu change, and schedule. The system just makes the case, with evidence.
Running a resort dining room?
The restaurant inside a resort, read as its own business — untangled from the property record, one outlet at a time.
The Mirror Test
Before you trust a system with numbers you don’t know, it has to reproduce numbers you already do. The method in full.
Free AI visibility check
When a customer asks an assistant for a restaurant like yours, does it name you? We’ll run the check and send you the read.
Practical AI for small and mid-sized business. Live products, verified numbers, and your experts in charge of every decision.