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TCPOS is a staple in the Swiss foodservice industry—especially in places where large volumes are processed through the POS system every day: staff restaurants, student dining halls, cafeterias, and chain restaurants. GoNina integrates with TCPOS and transforms POS data into daily sales forecasts—including feeding the order suggestions back into the usual workflow.
For institutional and commercial foodservice operations, this is the most direct path to data-driven volume planning without having to switch point-of-sale systems.
Why TCPOS Businesses Are Ideal
Typical TCPOS environments—company restaurants, student dining halls, cafeterias, and caterers with multiple serving locations—share three characteristics: high daily volumes, production based on projected demand, and highly fluctuating guest numbers due to remote work, holidays, and weather. It is precisely this combination that makes manual planning costly—and forecasts valuable.
What's more, these businesses already track their sales accurately by item, menu line, and location. The data foundation—which is lacking elsewhere—is already in place here.
How the connection works
Data Out: Sales and turnover data from TCPOS is automatically fed into GoNina —by item, location, and day. The AI cross-references this data with weather forecasts, holidays, and vacation calendars and learns the patterns of each individual store.
Forecasts Feed Back: The suggested quantities are fed back into the ordering and planning process—daily, for the next seven days. The teams continue to work in the system they’re used to; only the quantities within it are recalculated rather than estimated. Adjustments can be made at any time—the final decision rests with operations.
The result
The results are consistent with what “ GoNina ” businesses achieve across all industries: up to 52% less surplus, up to 6% more revenue due to improved availability, and up to 12 hours saved on planning time per month. In institutional food service, there’s an additional factor that’s becoming increasingly important: a measurable reduction in food waste—a result that clients and guests are increasingly demanding, as the article on company cafeterias shows.
Here's how to get started
The demo is followed by a testing phase using the company’s own data—first in a lab comparison alongside the existing planning process, then in live operation. The GoNina team sets up the TCPOS integration; the first forecasts are available within a few days. The service is hosted in Switzerland and the EU, and support is available in all national languages and English.
Frequently Asked Questions
We plan using menu lines and components, not individual items—is that possible?
Yes—the forecasts operate at the same level as the planning: menu lines, components, or individual items, depending on the establishment.
Does this also work for multiple locations with different profiles?
Especially in that case: Each location receives its own forecast based on its own patterns—the cafeteria operates differently from the company cafeteria, and both are different from the public area.
Do we need to make any changes at the register?
No—TCPOS remains the leading system. GoNina complements it at the planning level without affecting register operations.
Conclusion
For cafeterias, student dining halls, caterers, and chain restaurants using TCPOS, the data needed for precise planning has long been available—the integration with GoNina turns this data into daily order recommendations as part of the usual workflow. Production is based on what is actually needed—not on what last week’s experience might suggest.
To learn how AI sales forecasts work in the restaurant industry as a whole, check out our comprehensive guide for the restaurant industry.
