Case studies

The numbers, not the narrative.

What a full diagnostic found inside restaurant groups that were already well run — plus anonymized, illustrative write-ups of the method we use category by category.

Fast casual · 70 units · $105M system salesHow we found $9.6M of unrecovered margin in a 70-unit restaurant chainNo crisis, no turnaround, no operational overhaul — additional annual revenue and annual cost reductions across six categories, roughly 6.8% of system top line.Read the case study

Illustrative · 40–60 units · card-heavy mixIllustrativePayment processing recovery across a multi-unit restaurant groupHow a fee-visibility review of statements, acceptance mix and dispute leakage surfaces recoverable basis points in a card-heavy multi-unit group — structure and category ranges, no operator identified.Read the case study

Illustrative · 25–40 units · single primary distributorIllustrativeFood cost and group purchasing review in a multi-unit restaurant groupHow delivered-cost benchmarking against contracted group purchasing rates exposes spread on the same SKUs — method, sequence and category ranges, no operator identified.Read the case study

Illustrative · 20–30 units · utilities + retentionIllustrativeUtilities and retention: margin recovery in a 20–30 unit restaurant groupHow a composite ~$60M group recovered roughly 4% additional EBITDA (~$2.4M) from utility billing and tariff errors plus retention economics — document and structure work, no four-wall changes.Read the case study

Studies marked illustrative use anonymized composite profiles to describe our diagnostic method. Category-level ranges are directional observations, not forecasts or guarantees, and no operator, partner or specific result is identified.

What would this look like in your restaurant group?

The diagnostic is free to the operator at every stage, and nothing changes inside the four walls.

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