GoNina a Swiss AI-powered demand forecasting platform for bakeries, restaurants, catering companies, and food retailers. It connects to POS systems and uses historical sales data, weather, holidays, and local events to predict daily demand per product and location for the next 14 days.

Which industries does GoNina serve?

GoNina bakeries (both single-location and multi-location), contract catering companies that operate corporate cafeterias and employee restaurants, restaurants and food service operations that handle highly perishable items such as sushi and salads, and food retailers that sell freshly prepared products.

In which countries is GoNina available?

GoNina available throughout Europe. The platform supports German, French, English, and Italian, covering Switzerland, Germany, Austria, France, Italy, Belgium, Luxembourg, the United Kingdom, Ireland, and the Nordic countries.

What results does GoNina deliver?

Based on actual results from over 50 active locations, GoNina surplus and food waste by up to 52%, increases revenue by up to 6%, and saves up to 12 hours per month in planning time. New customers can start with a 4-week risk-free trial that includes a money-back guarantee.

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In our blog, we share insights from the everyday life of bakeries, restaurants, and production facilities—clear, practical, and to the point.

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Demand Forecast vs. Sales Forecast vs. Demand Planning: An Explanation of the Terms

Catering Companies: Automating Quantity Planning for Corporate Clients

Sushi, Salad, Fresh Produce: Forecasts for Highly Perishable Goods

Institutional Food Service: Fewer Surpluses in Company Cafeterias

AI Sales Forecasts for the Foodservice Industry: The Complete Guide

What Is a Sales Forecast? Definition, Methods, Practical Examples

Streamlining Your Product Line: Which Products You Should Cut—and Which You Shouldn't

Fall Season at the Bakery: From Plum Tarts to Pumpkin Bread

Opening a New Store: How to Plan Without Sales History

Calculate and Benchmark Your Return Rate: How Does Your Bakery Stack Up?

Aplus and AI Forecasts: The Official Integration for Bakeries

Using HS-Soft Data for Production Planning: Here's How It Works with GoNina

ProtecData BackStar and AI Forecasts: From POS Data to Order Recommendations

AI Forecasts in the Bakery Industry: Real-World Experiences and Results

Seasonality in the Bakery: What Patterns Does AI Identify?

Digitalization in the Bakery Industry in 2026: Which Tools Are Really Worth It

Food Waste in Bakeries: Causes, Costs, Solutions

Point-of-Sale Systems and AI: How POS Data Can Improve Bakery Planning

Chain Bakery: Automating Planning Across Multiple Locations

Automating Baking Sheets: From Excel to an AI Production Plan

The Impact of Weather on Bakery Sales: What the Data Shows

Reducing returns in the bakery—using data instead of gut feelings

AI Sales Forecasts for Bakeries: The Complete Guide

Variable Order Quantities in the Bakery Based on AI Forecasts

Less planning effort in the bakery thanks to AI forecasts

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