Why use ClearCOGS instead of building forecasting in-house?

That's a fair question. Generative AI has made it feel like any team with a smart engineer can build a forecasting tool over the weekend. In practice, the AI is the easy part. The hard part is the operational translation — knowing which of hundreds of different models to run for which ingredients, in which kitchens, under which conditions, and then turning that into an answer your line cook can actually use at 6 a.m.

ClearCOGS pairs data scientists with restaurant operators who've actually run multi-unit brands. We use more than 380 different forecasting models — and pick a different one for every ingredient at every location, automatically — because we've learned that a chicken tender in Phoenix doesn't behave like a chicken tender in Boston. We've been refining that system for four years across hundreds of brands, with millions of data points feeding every prediction.

To match what ClearCOGS delivers, an in-house build would typically need to:

• Hire at least one data scientist and one operations lead with restaurant experience
• Source and clean enough historical POS, weather, calendar, and event data to train accurate models
• Build the infrastructure to deliver daily prep, ordering, and labor guidance to every location reliably
• Maintain it forever — recipes change, locations open, POS systems update

For most brands, that's a multi-year commitment with seven-figure ongoing costs, and the result is usually less accurate than ours because they don't have the cross-brand training data we do. ClearCOGS is a managed service: $150 per location per month, live in three weeks, with real operators behind the AI.

If you want to compare specifics for your operation, book a 20-minute call.