Menu-level decisions. Not another operations dashboard.
Every location tells a different story. Your POS, labor, and cost data know which one is true — they just can't tell you in time to act. We build the multi-unit restaurant analytics you run the business on.
Trusted by brands and operators including McAlister's Deli, Blaze Pizza, Moe's, and Roark Capital.
Ten locations. Ten versions of the truth.
Each unit runs its own numbers, and by the time they roll up to one report, the month is over. The pattern that mattered — a menu mispriced, a store bleeding labor — already cost you.
Which items, on which menus, are underpriced?
Not a system-wide average — the item-and-site combinations where a small price move earns real margin.
Which locations are quietly losing money?
Prime cost, contribution, and labor at the unit level — surfaced while you can still do something about it.
Every POS export exists to answer one thing: which moves earn the next dollar, and how to run each unit at its best.
Multi-unit restaurant analytics, by decision.
Each engagement is scoped to a decision an operator actually makes. Here's how the common ones map to what we build and the data underneath.
| Decision area | The question an operator asks | What we build | Data it runs on |
|---|---|---|---|
| Menu & pricing | What's underpriced, by item and site? | Menu-level pricing & profitability dashboards | POS item mix, cost, sales |
| Unit economics | Which locations are actually profitable? | Unit-level P&L & prime-cost views | Sales, food cost, labor, accounting |
| Franchisee benchmarking | Who's ahead, who needs coaching? | Like-for-like benchmarking with row-level security | Multi-unit POS & ops data |
| Labor | Where is labor out of line with demand? | Labor & scheduling variance reporting | Labor, sales-per-hour, forecasts |
| New units & markets | Where should the next unit go? | Site & market opportunity views | Trade-area, demographic, performance |
| Marketing & channel | Which channels actually pay back? | Channel & promo effectiveness dashboards | Delivery, loyalty, campaign data |
Bundled, these become Operator OS — our commercial intelligence layer for multi-unit and franchise operators.
Menu-level, not chain-level
Pricing and profitability down to the item and the site, where the margin actually hides.
One P&L view across units
Prime cost, contribution, and labor on a like-for-like basis, every location comparable.
Franchisee self-service, safely
Row-level security so each operator sees their own units and corporate sees all.
On top of your stack
We connect the POS, accounting, and delivery tools you already run — no rip-and-replace.
Weeks to first value
A trusted view in operators' hands early, then extended across labor and expansion.
Yours to keep
The reporting and its logic stay with your team, not rented back to you monthly.
Monday, 7 a.m. Which menus are leaving money on the table?
You run 40 units across three states. A price move that works downtown can cost you sales in the suburbs. Before Rower, that nuance lives in a spreadsheet nobody has time to build.
- See A menu-level view shows item profitability by location, reconciled overnight.
- Decide It flags the items underpriced for their local demand and the ones killing margin.
- Act You adjust pricing site-by-site — not one blunt system-wide change.
- Track Next week's view shows the margin the move actually earned.
Pricing decisions made at the site level. It felt like commercial-grade software, not a reporting tool.
| Phase | Timing | What happens | What you get |
|---|---|---|---|
| See | Weeks 1–2 | Connect POS, accounting, and labor; pick the first decision | A reconciled, trusted view |
| Decide | Weeks 3–4 | Build the menu or unit-economics dashboard around it | Working reporting operators use |
| Act | Weeks 5–6 | Roll out with row-level security; train the operators | Decisions changing at the unit |
| Track | Ongoing | Extend into labor, expansion, and channel | A loop that keeps running |
Timelines vary with how clean your POS and accounting data is. The sequence holds: prove one decision, then widen.
On top of the systems your operators already run.
We connect your existing stack rather than adding one more platform to log into.
Operators don't need another dashboard. They need the decision it should have driven.
What operators say about the work.
Rower turns strategy into execution. They built menu-level pricing dashboards that drove our pricing decisions at the site level. It felt like commercial-grade software, not a reporting tool. If you need analytics that change how decisions get made, Rower delivers.
A fantastic partner for our Data & Analytics team. Their results speak to the quality of their work — they take the time to understand the situational context and consistently hit the mark.
Rower embedded analytics directly into our Six Sigma workflow, turning complex data into insights we could act on immediately. They made complexity simple and results measurable. I'd bring them in again without hesitation.
Before we start.
How many locations do we need before this makes sense?
Spreadsheets can carry one or two units. The math changes once you're past a handful of locations, running omnichannel sales, or juggling multiple marketing channels — that's the point where a location can be quietly losing money for a month before anyone notices. If you're managing enough units that no one can hold the whole picture in their head, you're ready.
Do you replace our POS or a system like Restaurant365?
No — we sit on top of them. Your POS, accounting, labor, and delivery platforms are where the data lives; we connect them into one trusted view built for decisions, not just record-keeping. You keep the systems your operators already know. We make them answer the questions leadership actually asks.
Can franchisees see their own numbers without seeing everyone else's?
Yes. We design row-level security in from the start, so each franchisee sees only their own locations while corporate sees everything. New units onboard into the same data product without a new build or manual access wrangling each time.
We're a franchisor. Can this handle multiple brands and different POS systems per location?
That's a common starting point. Multi-brand operators whose locations run different POS, labor, and accounting tools are exactly where consolidated visibility breaks down. We unify those sources into one governed view so leadership can benchmark across brands and locations on a like-for-like basis.
What's the difference between what you build and off-the-shelf restaurant analytics software?
Packaged tools give you a fixed dashboard and assume your data is already clean and connected. We build for your specific decisions — menu-level pricing, unit-level P&L, franchisee benchmarking — on your actual data, and we make the messy integration work first. When we're done, the data product and its logic are yours to keep, not a subscription you rent.
How fast until operators are using it?
Weeks, not quarters. We start with the decision that moves your number most — often menu and pricing or unit-level prime cost — get a trusted view in operators' hands, and extend into labor, expansion, and channel from there.
Tell us the question you're stuck on.
One conversation to understand the problem. Tell us what you're up against, and we'll tell you if we're the team to build the answer.