How franchises compare performance across 50+ locations
Your data is in Square, 7shifts, QuickBooks, and DoorDash (per location). Sync everything to one warehouse and ask Claude to benchmark across your portfolio.
You have 50 locations. Same brand, same menu, same operations playbook. But your data is fragmented across Square, 7shifts, QuickBooks, and DoorDash, each one siloed per location. Comparing performance means exporting from every system, for every location, and stitching it together manually.
The problem
Multi-location businesses run on 4-6 systems per location:
- POS: Square, Toast, Lightspeed (sales, orders, menu mix)
- Labor: 7shifts, Deputy (scheduling, labor cost, overtime)
- Delivery: DoorDash, UberEats (order volume, commissions, ratings)
- Reviews: Google Business Profile (customer sentiment by location)
- Accounting: QuickBooks, Xero (P&L per location)
Each system gives you reporting for one location at a time. Getting a cross-location view (for example, “which locations have the worst food cost ratio?”) means either a corporate BI platform (expensive, months to implement) or someone manually pulling reports from every location and stitching them together.
The setup
Sync all location data into one warehouse with a location identifier on each row. Contextflo auto-generates context for the tables. It learns the relationship between your Square sales data, 7shifts labor data, and QuickBooks financials. Now anyone can ask questions that span systems and locations in one conversation.
What you can now ask
“Which locations have a labor cost above 30% of revenue this month, and how does their 7shifts overtime compare?”
“Compare food cost as a percentage of revenue across our top 10 and bottom 10 locations by Square sales. What's different?”
“Which locations have the highest DoorDash commission fees as a percentage of delivery revenue?”
“Show me locations where Google Review ratings dropped below 4.0 this quarter alongside their sales trend in Toast.”
From weekly reports to real-time answers
Regional managers and operations leads shouldn't wait for a weekly report to know which locations need attention. With this setup, they ask Claude and get the answer in minutes, spanning POS, labor, inventory, and reviews in one query. The data is always current. The questions are always new.