What is restaurant business intelligence software?
Restaurant business intelligence software aggregates sales, labor, food cost, and guest data across every location and surfaces what is driving performance variances at each one. Scoop takes this further: rather than presenting data for interpretation, it identifies the root cause of each variance and delivers a specific action plan to the manager responsible for fixing it, automatically, every reporting cycle.
Restaurant business intelligence that tells you why
Scoop connects to your existing POS, labor, and food cost systems and delivers a plain-language performance brief to every district manager and store manager, every cycle, automatically. Not a dashboard to log into. A diagnosis with a recommended action for each location that needs attention.
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Overview: Comp sales are down across 9 of 12 locations, but the decline is concentrated in the lunch daypart. The overall weekly average is masking how specific the problem is.
Status: Labor cost at L-01 has run 310bps above benchmark for four consecutive weeks with no scheduling adjustment on record.
Recommended actions: Pull scheduling logs at L-01, run a lunch daypart analysis at L-03 and L-05, and review menu mix attach rate at L-02.
Why do most multi-location restaurant operators struggle to act on their data?
Most restaurant BI tools show you what happened. They do not tell you why, and they do not tell you what to do about it. A district manager can see that food cost is up 300 basis points at location 4, but not whether the driver is waste, portion drift, theft, or a menu-mix shift. Answering that question means pulling raw transaction data, cross-referencing waste logs, and knowing which pattern to look for. Most restaurant groups do not have the analyst capacity to do this for every location, every cycle.
The result is a pattern operators know well: the same locations underperform quarter after quarter. The problem shows up in the data. Action items get discussed in the weekly call. But without a clear diagnosis and an accountable follow-through mechanism, the fix never quite lands. Scoop runs the full root cause investigation before any manager opens a spreadsheet, then delivers a plain-language action plan to the person responsible for each location, with the prior cycle's outcomes reviewed in the next brief.
How does Scoop work for multi-location restaurant groups?
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Connect your data sources
Scoop connects with read-only access to your data warehouse (Snowflake, BigQuery, Redshift, or Databricks) or via scheduled extracts from your POS, labor, and food cost systems, including Toast, Aloha, Crunchtime, R365, and MarginEdge. There is no write access and no disruption to your existing pipelines or BI stack. - 2
AI diagnoses every location, every cycle
Scoop compares each location's performance against its own history, against peer locations in the same market, and against your defined benchmarks, identifying what is off and isolating the most likely driver, automatically, on your reporting schedule. - 3
Managers receive their brief automatically
District managers and store managers each receive a brief listing the issues in their area, what is driving each one, and a specific recommended action, delivered on your cycle without requiring a login or a dashboard. The analysis is done before the brief arrives. - 4
Actions are tracked the following cycle
Every recommended action from the prior cycle is reviewed in the next brief. If the fix worked, it is confirmed. If it did not, the issue is flagged for escalation. The loop closes automatically, so no problem persists because of a busy week or a missed follow-up.
What metrics does Scoop track for restaurant performance?
Scoop tracks comp sales, labor cost percentage, food cost percentage, menu mix and attach rate, guest count trends, average check, daypart revenue variance, and speed of service across every location — each evaluated in context against that location's own history and against comparable locations in your portfolio.
Daypart revenue variance
Revenue and traffic broken out by daypart, flagged automatically when a specific daypart is masking or driving an otherwise-flat overall comp sales number.
Food cost deviation
Week-over-week food cost trend by location, with escalation triggered when variance persists for two or more cycles without a corrective action on record.
Labor vs. covers alignment
Actual labor cost compared to scheduled hours and to guest count by shift, surfacing where staffing is misaligned with real traffic patterns.
Menu mix and attach rate
High-margin item attach rate and menu mix shift tracked by location, flagged when changes in mix explain a margin or average-check variance.
Guest count trends
Period-over-period guest count by location, benchmarked against peer locations in the same market to separate a local operations issue from broader market softness.
Action item tracking
Every recommended action is logged and reviewed the following cycle, confirmed if resolved, escalated automatically if the issue has not moved.
How does Scoop help district managers oversee more restaurant locations?
Instead of logging into a dashboard for each location and building their own interpretation, a district manager opens one brief that surfaces only the issues that need attention across their entire territory, ranked by severity, with a root cause identified and a recommended action already written.
Prioritized issue list
Every issue across all locations in the territory, ranked by severity, so attention goes to the locations that need it most, not the ones that happen to be checked first.
Prior-cycle outcome tracking
Each prior action item is reviewed automatically in the following brief, so district managers know what worked and what did not without tracking it themselves.
Escalation flags
Issues that remain unresolved after two cycles are escalated automatically, so no problem falls through because of a busy period or an overloaded manager.
Territory comparison
Side-by-side view of every location in the territory to identify patterns that span multiple stores — a daypart problem or a labor misalignment that looks local but is actually systemic.
We had dashboards. We had data. What we didn't have was a clear answer on why the same six locations kept underperforming. Scoop told us why, told each manager what to do about it, and showed us the following cycle whether it worked.
How does Scoop compare to traditional restaurant business intelligence tools?
| Traditional restaurant BI dashboards | Scoop | |
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| What you receive | Charts and data for analysts and leadership to interpret | Plain-language diagnosis and action plan delivered to each manager |
| Who it is built for | Operations leadership and BI teams | Every district manager and store manager in the organization |
| How it arrives | Log in and navigate the dashboard | Delivered automatically on your reporting cycle, no login required |
| Root cause analysis | Manual analyst work required | Identified automatically by AI for every location, every cycle |
| Prior action tracking | Not included | Reviewed and confirmed or escalated in the following brief |
| Time to value | Months of onboarding, training, and dashboard configuration | Four weeks from kickoff to live pilot |
Book a discovery call
Reach out to start a two-way conversation about your industry, your performance variations across locations, and whether Scoop is the right fit for you.