Anonymized, but structurally real. This is what the diagnostic found — and what we engineered in its place. Run the deltas against your own P&L.
No unit-level visibility. Theoretical-vs-actual food variance was masking portioning and waste drift; mid-week labor was scheduled to a weekend pattern.
Par and prep discipline rebuilt around the data, plus demand-based mid-week scheduling. Variance closed from 4.8 to under 1 point.
Margin compression from the incoming wage floor, absorbed through overtime rather than scheduling. SPLH ran well below benchmark on soft shifts.
Demand-based scheduling tied to POS sales-per-labor-hour benchmarks, resetting the model for the new cost base without touching service standards.
Pouring on instinct, not spec. Six points of variance between recipe and actual pour, and a long tail of SKUs that never moved.
Menu engineering, supplier renegotiation, and spec-driven pour controls repositioned the program around its highest-margin SKUs.
The only question is which line item it’s hiding in. A free diagnostic call is where we start looking.
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