Precision planning for restaurant operations.
Use AI-Powered Forecasting to Lower Food Costs
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![People in a busy cafe with modern interior, green chairs, tables, and shelves filled with items; some individuals are using phones, talking, or reading.]()
Demand Forecasting
uses machine learning algorithms trained on a large library of external datasets (e.g. weather, holidays, school schedules) and historical sales for products at the individual store level.
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![Assorted salad bar ingredients including cherry tomatoes, green beans, spinach, sliced peppers, and white beans in metal containers.]()
Recommended Ordering Quantity
provides easy-to-use ordering guides with suggested ordering quantities. Managers can double-click on suggested order quantities to understand the “why” behind each prediction.
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![Person interacting with touchscreen and holding a receipt at a point-of-sale system in a store.]()
Integrations with POS Systems
make managers and operators’ lives easier. With a simple workflow, managers can replenish their inventory and get ready for the week with a click of a button.
More about Tarragon Systems
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We work with multi-unit restaurants who are excited to dive into their data and manage food cost variance. Reach out to us if you are curious about Tarragon Systems and want to give it a try for free.
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Tarragon was born out of MIT. Our prior backgrounds in software engineering, sustainability, and restaurant finance make us uniquely positioned to help managers leverage their own data to reduce waste and improve profits.