Interactive demo. A Seaton Labs forecasting engine, shown with sample sales data.Read the case study ↗
Par Engine · the logic behind the prep list
Sales history in. Tomorrow’s prep out.
Every night the engine reads point-of-sale history, works out how much of each item the kitchen will need, and rounds it to the batches the cooks actually make. Change the inputs and watch the answer move.
In the windowSkippedAverage
Make tomorrow
Sample data for a fictional restaurant group. A client build runs on your own sales and recipes.← Back to Software