Par Engine
Weeks of point-of-sale history in, tomorrow’s prep quantities out, rounded to the batches cooks actually make. Change the inputs and watch it recalculate.
Try the engine
Good software does the math your team shouldn’t have to. This forecasting engine runs behind a real client’s kitchen app every night. Here it is with sample data and every input exposed.
Weeks of point-of-sale history in, tomorrow’s prep quantities out, rounded to the batches cooks actually make. Change the inputs and watch it recalculate.
Try the engine
Tell us what your team does by hand today. We’ll show you what it could look like.
Start a projectPar levels, the amount of each item to keep on hand, lived in a spreadsheet. They were set by feel and drifted out of date as the menu and the seasons changed.
An engine that reads sales history every night, converts portions sold into recipe quantities, adds a safety buffer, and rounds to real batch sizes. Big-batch items get a trigger point instead, so they’re made only when stock runs low.
Pars that follow what actually sells, reviewed side by side with sales on one screen, instead of last month’s guesses copied forward.
This demo uses a fictional brand and sample data. It’s based on a real client project, shared without the client’s name or data.