Franchisor visibility into unit-level performance without disrupting the QuickBooks each franchisee already uses. Unit economics benchmarking, royalty-flow diagnostics, anomaly detection across the network — the layer above the books, not a replacement for them.
Each franchisee keeps their QBO, their bookkeeper, their cadence. We sit on top via OAuth and unify the metrics: food cost as percentage of revenue, labor as percentage of revenue, prime cost, COGS, contribution margin. Same formula across 280 units. Now you can actually compare them.
The franchisor gets a benchmark distribution: median, p25, p75, top decile. Each unit's position is shown against its peer group — same region, same age cohort, same size band. The outliers on both ends are the news: which operators are running below the floor, and which are running above the ceiling.
The franchise economic relationship runs on royalties and marketing fund contributions calculated from reported gross. The anomaly engine watches each franchisee's reported gross against external sources (POS aggregators where you have access, payment processor data, peer-cohort revenue patterns) and surfaces under-reporting in real time.
For most franchisors, royalty audits happen quarterly or annually. With anomaly detection running on every franchisee's books, you catch a $13k under-report in week one — not in next year's audit. The franchise services team's job changes from looking for problems to addressing the ones the platform already surfaced.
Roll the network up consolidated, set a target ("network-wide same-store sales growth 4%"), and Goal Seek returns the lever combinations that get you there — with per-cohort breakdowns showing which franchisee segments need to pull each lever and by how much. The franchisor's marketing fund allocation, pricing guidance, and operations playbook all become testable hypotheses.
What-If the 4% price increase across the network. The platform projects the EBITDA impact per cohort using each franchisee's own historical price elasticity. Cohorts where elasticity is unmeasured get flagged with confidence chips. You see who's likely to lose covers before you ask anyone to raise prices.
Sensitivity Analysis ranks every cohort by elasticity to marketing spend. The franchisor sees which units' EBITDA moves most per marketing dollar — and where the marketing fund's next $200k will produce the largest network-wide return. The allocation is testable, attributable, and reportable.
The wedge for franchises: you don't have to disrupt 280 franchisees' books to get visibility. They keep QuickBooks. You get OAuth-connected diagnostics, benchmarking, and royalty-flow validation — the layer above their books, not a forced migration off them.
Connect your books in an afternoon. See the diagnostics and the first scenarios on your real data, the same week. No implementation fees, no six-month rollout, no SOW.