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One system, every decision.
Menu
What every item actually earns, and what happens to the rest when you change one.
Promotion
What the offer caused, separated from what would have happened anyway.
Franchise
Recommendations that survive the franchise meeting, because operators can check the math on their own stores.
Operations
One set of numbers for corporate, region, and store.
Location
A ten-year commitment, made on trade-area reality instead of a radius and a drive-by.
01
The hard part is already done.
The restaurant ontology, the connectors, the proven analytical models — pre-built, from thirty years driving decisions for the industry's top chains. You don't need a perfect data stack to begin; you need a question.
The old way: A year of data plumbing before the first useful answer.
02
The AI can't afford to guess.
The brands that come to us are facing decisions worth millions. Navigator reasons over your modeled data, so it already knows what you mean by check average, by comp, by core item.
The old way: Point a chatbot at raw systems and hope it picks the right one of your fourteen sales tables.
03
It compounds.
The context that guided the decisions from three months ago is recorded. The memory builds to power your next decision, so that someone new to the team inherits what the company has already learned.
The old way: Analyses often start from scratch, plus the unmitigated risk of what was learned walking out the door.
Connect your data
POS, location, competitive, economic — connected and modeled in the restaurant ontology. Your team starts querying across all of it in natural language.
