Know what's coming. Know what to do next.
FORNEBU brings together signals from sales, workforce, inventory and operations to show you what needs attention — and the evidence behind it.
Understand demand. Spot operational risks. See what needs attention. Make better decisions.
What FORNEBU Intelligence looks at
Intelligence grounded in your restaurant's actual operations.
Information already flowing through the operating system becomes explainable signals for restaurant operators.
Demand
Understand expected demand and peak operating periods using your restaurant's operating history.
Labour
Bring demand and workforce information together to identify potential staffing pressure.
Inventory
Surface stock conditions and inventory risks that may require attention.
Sales & Products
Identify meaningful changes in sales and product performance when sufficient comparable data exists.
Operations
Surface operational exceptions such as meaningful register variances, refunds and discount activity.
Explainable Intelligence
See the evidence behind a signal with FORNEBU's “Why am I seeing this?” experience. Weather, holidays and local events are shown beside the forecast as context. The forecast itself is built from your restaurant's own sales history.
Explainable by design
See the recommendation. Understand why. Make the decision.
Recommendations can expose the underlying operational evidence.
Readiness
Intelligence that knows when it knows enough.
FORNEBU weighs the depth of operational data before presenting predictive insights.
One restaurant. One operational picture.
Intelligence gets better when the restaurant is connected.
Sales & Orders
What customers bought, when they bought it and how demand changes through the day.
Products & Inventory
What was sold, what ingredients those products consume and how inventory moves.
Customers & Loyalty
Visits, purchases, loyalty progress and customer relationships.
Workforce & Labour
Availability, skills, schedules, actual hours and where employees worked.
Locations & Brands
Operational information across restaurant locations and brands.
Business Day & Controls
Sales, tenders, cash reconciliation, exceptions and operational accountability.
The intelligence layer
FORNEBU Intelligence
Demand Intelligence
Understand when the restaurant is likely to get busy.
The restaurant's own sales and order history builds an explainable view of expected demand in 30-minute operating intervals.
- 01Restaurant History
- 0230-Minute Demand
- 03Required Coverage
Demand Intelligence doesn't schedule employees. It gives Smart Schedule a better operational picture to schedule around.
From transaction to understanding
The transaction shouldn't be the end of the information.
These operating surfaces share one foundation, so information created in one part of the restaurant gives context to another.
- 01Order
- 02Product
- 03Inventory
- 04Customer
- 05Demand
- 06Labour
- 07Reporting
Explainable by design
Show the operator why.
Restaurant operators shouldn't have to trust a black box. The inputs behind a recommendation stay visible.
See the inputs
Understand the information behind a recommendation.
See the history
Compare expected activity with what actually happened.
Keep the manager in control
Recommendations remain reviewable before operational decisions are made.
Improve with restaurant data
Use the restaurant's own operating history rather than generic assumptions wherever supported.
The intelligence loop
The restaurant teaches the operating system.
Every completed operating day creates another view of what was sold, when demand occurred, how the restaurant was staffed and what actually happened.
- 01Operate
- 02Observe
- 03Understand
- 04Recommend
- 05Manager Decides
- 06Learn
FORNEBU provides the intelligence. The manager stays in control of the decision.
Intelligence tells you what's coming. Business Health tells you how you're doing.
See Business Health →Don't just collect restaurant data. Put it to work.
FORNEBU brings the operating surfaces of the restaurant together so information can become operational context.