Averages lie. Scoop tells you what's actually happening at each location, shift, and daypart.
Scoop is an AI performance manager that helps food and beverage operators understand what is driving margin and service variation across locations, shifts, and dayparts: then gives managers clear actions they can take in the next operating cycle.
Comps held at 7 of 8 locations, but dinner covers fell at 5. The margin leak this cycle is food cost at Location 114.
- 8 of 8 locations screened
- Split by daypart
- Playbook rule fired
Lunch holds while dinner slips. Mid-week labor % runs over benchmark at 4 locations, where schedules did not follow covers after 9pm. Attention goes first to 114, then 122 and 137.
Sample report. Stores and figures are illustrative.
Food cost has run 380 bps over benchmark for 3 weeks. No corrective action is logged.
Check portions and menu mix on the top 5 sellers.
Diagnostics take a massive amount of time. This takes care of it and doesn't miss a thing.
Three challenges Scoop solves
Averages hide daypart and shift problems
A location can look fine on weekly comps while dinner is declining, mid-week labor is running hot, and food cost has been above benchmark for three cycles. The headline number masks what's actually happening.
Scoop diagnoses at the level where the problem actually lives: by daypart, by shift, by location, so nothing hides behind a weekly average.
Time-pressed managers stop at the obvious issues
The full diagnostic: labor efficiency, daypart performance, menu mix, waste, service time: rarely gets run on every location every cycle. The top two or three issues get attention. The rest accumulate.
Scoop runs the complete diagnostic across every location every cycle, surfacing issues that a time-pressed area director would miss and creating specific action plans for each.
Action plans are inconsistent across the team
What one area director catches and acts on, another misses. The quality of the operating response depends on who's on the call, not on what the data actually shows.
Scoop standardizes the diagnostic and the action plan so the response is consistent regardless of who's managing the location, and tracks whether those actions worked.
Diagnostics your best operators would run, on every cycle
Labor-to-sales variation
Whether scheduling, productivity, or demand shifts are creating margin pressure.
Daypart performance
Which shifts or meal periods are driving location underperformance.
Menu-mix anomalies
Whether changes in item velocity or mix are affecting sales and contribution margin.
Waste and ingredient issues
Whether controllable waste or purchasing patterns are reducing profitability.
Guest count and check average
Whether the issue is traffic, spend, conversion, or execution.
Service and throughput
Where speed-of-service or execution gaps are quietly costing guest counts.
Connects to what you have. Secure from day one.
Read-only access to your data warehouse
We connect directly to Snowflake, BigQuery, Redshift, Databricks, and more: read-only, no write access, no disruption to current pipelines.
No warehouse? No problem.
IT can provision automated flat-file extracts on a schedule. If the tables and reports already exist, the lift is low.
SOC 2 certified. Governable at scale.
Role-based access, audit trails, and outputs that are reproducible and explainable. Your data never leaves your control.
Layers on top of your existing BI stack: Power BI, Tableau, Looker, and 100+ more
Related reading
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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.