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.

Which POS and ERP systems does GoNina integrate with?

GoNina has automated integrations with HS Soft, ProtecData BackStar, Aplus, OptimoBercher, Lightspeed K-Series, and TC POS. Other systems can be connected upon request via automated data exports.

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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Integrations at a Glance: Which POS Systems and ERPs GoNina Integrates With

Why AI Forecasts Pay Off in the Foodservice Industry: The Three Leverage Points

AI Forecasts for Bakeries with Panipro: What's Possible Today

Pilot project with the SV Group: AI forecasts put to the practical test in community catering.

TCPOS and AI Forecasts: Data-Driven Planning for Cafeterias and Chain Restaurants

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

OptimoBercher and AI Forecasts: No More Static Fixed Orders

Bakery Software at a Glance: Point-of-Sale, Inventory Management, Forecasting, and More

The 7 Most Common Planning Mistakes in Bakeries—and How to Avoid Them

How Accurate Can a Sales Forecast Be? An Honest Explanation of Forecast Quality

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

From Bakeries to Restaurants: What Both Industries Can Learn from Each Other When It Comes to Planning

Plate Returns and Production Surplus: Where Cafeterias Really Generate Food Waste

Fluctuations in Demand at the Employee Cafeteria: Causes and Solutions

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

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Excel Templates vs. AI Forecasts: An Honest Comparison

What Is Machine Learning? An Article That Explains It in a Way Even a Baker Can Understand

Bakery Key Metrics: The Numbers You Really Need to Know Every Day

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Grittibänz, gingerbread, stollen: Getting the timing right for your Advent preparations

The Cost of a Poor Forecast: An Honest Assessment

Workforce Planning and Production Planning: Why the Two Go Hand in Hand

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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