Power BI for restaurants that want prime cost in plain sight
Power BI for restaurants brings point of sale, labor, inventory and delivery data into one model, so owners see sales and prime cost by location each morning. Most groups already own this data, but it sits in separate systems. Consultants from Power BI Agency build the reports online, inside your own Microsoft tenant, and every file stays with your team afterwards.
- Prime cost by location
- Menu mix and margin
- Sales per labor hour
Last updated
Why do operators choose Power BI for restaurants?
A restaurant earns or loses its margin in small amounts. A few extra labor hours on a quiet shift matter. So does a dish with a rising plate cost, or a delivery channel with heavy fees. However, most owners only see the sum of these at month end.
The point of sale knows what sold. Meanwhile the scheduling tool knows who worked. Also, the inventory tool knows what the kitchen bought and counted. Because none of them share a screen, a manager compares them by hand, usually late at night.
One model removes that chore. It loads each source after close and lines the figures up by date, daypart and location. Then a regional manager opens one page and spots the kitchen that drifted, while there is still time to act.
Six restaurant dashboards worth a manager's morning
Start with two or three of these, because a short report that people open beats a long one they skip.
Prime cost
Food, drink and labor cost sit against sales for each week, so the biggest controllable number stays in view.
Menu mix
Each item appears by units sold and by margin. As a result, the kitchen knows which dishes to push and which to reprice.
Sales per labor hour
Hourly sales meet scheduled hours on one chart, so managers see where a shift ran heavy or thin.
Comps, voids and discounts
Totals by server, shift and reason code show patterns early. Therefore a small leak does not become a habit.
Delivery and dine-in split
Orders by channel appear with their fees and ticket size, because a busy channel is not always a profitable one.
Same-store comparison
Every location lines up on equal terms. Then leaders learn which sites to study and which to support.
Which restaurant systems can feed a Power BI model?
A typical group brings a point of sale, a labor scheduling tool, an inventory or recipe tool and an accounting ledger. Many also bring reports from delivery marketplaces and a reservation or loyalty product. Each one holds a slice of the truth.
Access differs by vendor. Some products expose an API or a reporting database, while others only email a file each night. So we check every system against Microsoft's connector list and the vendor's own documentation before we quote. When a direct route is missing, a nightly export into a staging folder or database works instead.
Item names cause the most trouble. For example, one site rings a burger under lunch and another under specials. Therefore we agree one menu hierarchy with your team first, and every total rolls up through it. Kitchen waste and labor by shift, in addition, fall under operations reporting in power bi, which covers daily running figures.
Signs that Power BI for restaurants would pay off
If three of these ring true, the data is ready to do more work for you.
- Food cost shows up weeks after the count
- Each location sends its own spreadsheet
- Labor targets live in a manager's head
- Delivery fees hide inside net sales
- Nobody ranks menu items by margin
- Month end always brings a surprise
How a Power BI for restaurants project runs
The work fits around service, so your managers give us short slots between shifts.
Free assessment
First you walk us through the reports you compile today. The call lasts thirty minutes and costs nothing.
Fixed written scope
Then a quote names the locations, systems and pages. Since the scope is in writing, it does not drift.
Pilot location
We prove the model on one site before the rest, because that exposes odd item codes early.
Demos and handover
A working report appears at each weekly demo. Finally the files, notes and a walkthrough pass to your team.
Restaurant reporting in Power BI: owner questions
Can Power BI for restaurants track food cost by location?
Yes, when purchase and count data exist for each site. The model compares what the kitchen bought and counted with what the recipes say it should have used. So the gap between actual and theoretical cost shows per location and per category. Without recipe data the report still shows purchases against sales, which is a useful start.
Does Power BI connect to a restaurant point of sale?
That depends on the product you run. Some vendors publish an API or allow database access, and others supply scheduled exports only. We check your exact system during the free assessment. Because we never claim a native connector unless Microsoft lists one, the quote describes the real route and the refresh it allows.
Can restaurant managers open Power BI reports on a phone?
They can. Power BI has mobile apps, and we design a phone layout for the pages a manager checks most. That matters here, since few managers sit at a desk during service. The phone view carries fewer visuals per screen, but every figure matches the full report.
How fresh is the data each morning?
Most groups refresh overnight, after the point of sale closes the business day. Then the report shows yesterday complete when the opening manager arrives. Several refreshes a day are also possible, within the limits of your license. We set the schedule around the hour each source finishes, so partial days never appear as final.
Who builds the reports?
Our consultants build them. Power BI Agency is a division of Sataware Technologies, and it is independent of Microsoft. The team is small, so the person on your first call stays through delivery. All work happens online. We also reply to every message within 2 hours.
Let's build your first dashboard together.
Tell us what you report on today. A consultant replies within 2 hours with next steps.
Trusted partners
Microsoft Solutions Partner · AWS Partner
Cloud & AI Platforms
Azure SQL, Microsoft Fabric and the data pipelines behind your reports.
AI Business Solutions
Power BI reporting on your Dynamics 365, Business Central and Power Platform data.
Security
Row-level security and Entra ID sign-in on every report and workspace.
Amazon Web Services
Power BI on your AWS data, with connectors for Redshift, Athena and S3.