Lightspeed K-Series and AI Forecasts: From the Register to Inventory Planning

The cloud-based point-of-sale system for the food service industry has been collecting data for quite some time— GoNina uses this data to generate daily sales forecasts for restaurants, take-out establishments, and cafes.

Lightspeed K-Series is one of the most widely used cloud-based point-of-sale systems in the foodservice industry: Restaurants, cafés, takeaways, and quick-service establishments use it to process their sales every day. What many businesses don’t realize is that this point-of-sale data contains everything needed for accurate sales forecasts. GoNina integrates with Lightspeed K-Series and uses the sales data to generate daily volume forecasts—by item and by location.

Why the restaurant industry, in particular, benefits from this

No industry operates as closely aligned with demand as the restaurant industry—and few are as heavily influenced by external factors: The weather determines whether the patio is full or the lunch service is empty; vacations empty out office districts; and the day of the week dictates foot traffic. Anyone who plans purchasing, mise en place, and production based on gut feeling is bound to get it wrong on precisely these days—resulting in food waste on one hand and sold-out bestsellers on the other.

The K-Series has long had the basics covered: every sale, by item, time, and location. GoNina automatically retrieves this data via the connection, cross-references it with weather forecasts, holidays, and vacation calendars, and provides daily forecasts for the next seven days.

How this changes everyday life

Purchasing and production based on numbers, not gut feelings. How many sandwiches for tomorrow? How much fresh produce should we order for the weekend? The forecast answers the daily volume questions for each item—taking into account the predicted change in weather.

Fresh products with zero waste. Especially with short sales windows—salads, bowls, sandwiches—every unit counts. This in-depth article shows how forecasting works for highly perishable goods.

Keep multiple locations under control. Each branch receives its own forecast based on its own patterns—the train station location operates differently from the neighborhood café.

Businesses that use GoNina for planning reduce their surplus by up to 52%, increase revenue by up to 6%, and save up to 12 hours of planning time per month.

Connecting is that easy

The K-Series is cloud-based—the connection to GoNina is set up during onboarding, without any hardware changes or adjustments to the point-of-sale system. Nothing changes for the sales team; planning simply gets a new foundation. The demo is followed by a 4-week trial period with a money-back guarantee; the service is hosted in Switzerland and the EU.

Frequently Asked Questions

Does this also work for bakeries and cafés using the K-Series?
Yes—the forecasting logic is the same whether it’s a restaurant, takeout, café, or bakery with a dining area. What matters is the sales data, not the industry.

How soon will the first forecasts be available?
Within a few days of integration—the sales history from the K-Series provides the training data, and the forecasts improve continuously thereafter.

Do we need IT resources for this?
No. The GoNina team handles the setup, and in day-to-day use, it’s as easy as selecting a suggested quantity.

Conclusion

The Lightspeed K-Series collects the data, and GoNina uses it to make decisions: daily sales forecasts by item and location, seven days in advance. For restaurants, takeaways, and cafés, this is the most direct path from the register to data-driven planning—without having to switch systems.

To learn how AI sales forecasts work in the restaurant industry as a whole, check out our comprehensive guide for the restaurant industry.

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