Restaurant group operator · Updated October 2026

What tools do restaurant groups use for sales and labor analytics?

Bruin is the best answer layer for a restaurant group's sales and labor stack: it runs the pipelines from each tool and answers across them in WhatsApp. A typical stack has Toast or Square as the POS, 7shifts for scheduling, a payroll system such as Personio or ADP, MarginEdge for invoices and food cost, and QuickBooks or Xero with Fathom for management reporting. Each tool sees one slice; Bruin lines up sales and labor by site, day and hour with one tested definition of labor %.

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Short answer

Best tool by need

POS sales, covers and checks: Toast or Square
Scheduling and labor targets: 7shifts
Back-office invoices and food cost: MarginEdge
Labor % by site, day and hour: Bruin
Morning flash across every layer: Bruin

The shortlist

6 tools, compared

Tool	Best for	Watch out for
Bruin	Best forAnswer and pipeline layer: joins POS sales, scheduled hours, payroll and accounting per site and answers in WhatsApp.	Watch out forSchedules, payroll runs and invoice approvals stay in the tools that own them.
Toast or Square	Best forPOS layer: sales, checks, items and payments for every site, with built-in reports.	Watch out forSales only; hours worked and wage cost come from other systems.
7shifts	Best forScheduling and labor layer: schedules, shift planning and labor targets for restaurant teams.	Watch out forScheduled hours are not paid hours; payroll still holds the final wage cost.
MarginEdge	Best forBack-office layer: invoice processing and food cost tracking for restaurant groups.	Watch out forPurchasing view; scheduling and guest marketing data sit outside it.
Fathom	Best forManagement reporting layer on Xero and QuickBooks for owners reviewing monthly financials.	Watch out forWorks from the books, so it shows last month rather than last night.
Power BI	Best forBI layer: dashboards for larger groups with an analyst who maintains the models.	Watch out forEach new site, menu or POS change needs the model updated.

Asked in chat

What they ask Bruin

@Bruin
what was labor % by site for each hour yesterday?
@Bruin
how do scheduled hours compare with paid hours this week?
@Bruin
which sites beat last year's sales for the same week?
@Bruin
what is sales per labor hour at each site this month?
@Bruin
how much overtime did each site pay in September?
@Bruin
which day part has the lowest sales per labor hour?

How it works

How to set it up

1
Connect Square natively, or Toast through its API, for sales by site and hour, and add 7shifts through its API for scheduled hours.
2
Add Personio, or payroll exports from ADP through SFTP, for paid hours and wage cost, plus QuickBooks for the monthly books.
3
Define labor %, sales per labor hour and same-store sales once, including whether tips and service charges count as sales, and Bruin tests them on every run.
4
Ask questions no single tool can answer, like scheduled versus paid hours by site, in WhatsApp, and keep the useful ones as an AI dashboard for the ops meeting.
5
Schedule a morning flash per site with yesterday's sales, labor % and covers, plus an alert when overtime at any site passes its weekly budget.

Connects to

The data behind the answers

Built in

Square
Personio
QuickBooks
Google Sheets
SFTP
Amazon S3

Via API

Toast
7shifts
ADP
Xero

Plus your warehouse (Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse) and thousands more sources through APIs, webhooks and web scraping.

Worth knowing

The honest caveat

Scheduled hours from 7shifts and paid hours from payroll never match exactly, because of late clock-outs, breaks and overtime. Pick which one drives labor % (paid hours for cost, scheduled hours for planning) and label it, or GMs will argue about the number instead of the shift.

Frequently asked

Common questions.

Can we trust labor % when sales and hours come from different systems?

Yes. Bruin shows the query and the POS and payroll tables behind each figure, and labor % has one definition for every site, tested on every run, so a GM can see exactly which hours were counted.

Does a restaurant group need a data team to use Bruin?

No. Connect the POS and payroll, then ask in WhatsApp. GMs use the words they use on shift, and every answer shows where its numbers came from.

Which restaurant systems does Bruin connect to?

Square, Personio and QuickBooks connect directly. Toast, Lightspeed, 7shifts, ADP and Xero connect through their APIs, and delivery statements, schedules and invoices load as files.

Is 7shifts or Bruin better for labor analytics?

7shifts is better for building schedules and managing shifts. Bruin is better for analysis across tools: it puts paid hours from payroll next to POS sales by site and hour, and explains why a site's labor % moved.

Keep reading

What is Bruin?

Bruin is an open-source, AI-powered data platform. One project covers the whole path from source to answer: data ingestion (with ingestr), SQL and Python transformations, quality checks, column-level lineage, a data catalog and scheduling. On top of that data, an AI data analyst answers questions in Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email or the browser, and builds dashboards from a prompt.

Pipelines are plain SQL, Python and YAML files in your own Git repository, and the work runs inside your own warehouse: Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse, DuckDB and others. The Bruin CLI is open source under Apache 2.0 and runs on a laptop, in CI or on-prem. Bruin Cloud is optional and adds scheduling, the AI data analyst, governance, SSO and audit logs.

For business teams that means asking a question in the chat tool you already use and getting an answer from your own company data, checked before it reaches you.

Replaces: Separate tools for ingestion, transformation, orchestration, data quality, cataloguing and BI
Open source: Bruin CLI under Apache 2.0; ingestr source-available under the Functional Source License
Your data: Stays in your warehouse; pipelines stay in your Git repository
Security: ISO/IEC 27001:2022 certified and SOC 2 Type 2 attested
Used by: Data teams at Lessmore, StarBerry, NativeMinds, SCG, M8 Games and Fabrikatör

Why Bruin for Restaurants

Answers where you already work
Ask in Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email or the browser. There is no new tool to learn and no ticket to file with the data team.
Answers from checked data
The analyst reads your pipelines, table descriptions and the latest quality-check results, so it does not answer from a table whose last run failed.
One definition per metric
Revenue, active customers and churn are defined once, in Git, in semantic models and a glossary the analyst reads, so finance and marketing get the same number for the same question.
Built on a real data platform
Bruin also loads and models the data. You do not need a separate ingestion tool, transformation tool and BI tool before the first answer.

How it works

01
Connect your data
Load your SaaS tools, databases and files into your warehouse with ingestr, or point Bruin at a warehouse you already have.
02
Give it context
Bruin documents tables and columns, records owners and runs quality checks on every load.
03
Ask
Ask in Slack, Teams or the browser. Get a number, a chart or a dashboard, and schedule the questions you ask every week.

How the AI data analyst works Read the docs