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

How bakeries use CashAssist and WaWiAssist to leverage their sales data for AI-based sales forecasts—automatically and without changing systems.

HS-Soft is one of the most widely used software solutions for bakeries, pastry shops, and cafés in Switzerland. With CashAssist at the register and WaWiAssist for order processing, these businesses collect valuable data every day: sales by item, by location, and by day.

This data can do more than just track daily sales. GoNina with HS-Soft systems and uses sales history to generate daily AI sales forecasts—including order suggestions that feed back into your usual workflow.

From Sales to Forecasting: Here's How It Works

Sales data as a starting point. GoNina automatically GoNina sales, product, and store data from the HS-Soft system. There’s no need for manual exports or duplicate data entry—the data your business collects anyway is reused directly.

External factors also come into play. The AI combines sales history with weather forecasts, holidays, school breaks, and seasonal patterns. This results in a daily sales forecast for each product and location for the next seven days.

Order recommendations are fed back. The forecasts aren't confined to a separate dashboard. They are fed back as concrete order recommendations, so that production and store replenishment can work with them directly—using data-driven quantities instead of estimates.

How this changes everyday life

Anyone who works with CashAssist and WaWiAssist knows their numbers. Still, the daily question remains: How much of which product should be produced tomorrow and delivered to which store? In most businesses, this decision is based on experience—and experience can’t account for sudden changes in weather, holiday seasons, and store-specific patterns on a daily basis across the entire product line.

That's exactly what the AI does. The recommendation takes into account the weather, the day of the week, holidays, and the specific characteristics of each location—and can be manually adjusted at any time. Control remains with the operator.

Businesses that GoNina reduce their excess inventory by up to 52%, increase sales by up to 6%, and save up to 12 hours of planning time per month.

How the rollout works

1. Initial Contact and Demo. During a brief conversation, we’ll discuss how your business is structured and what the integration with your HS-Soft system will look like in practice.

2. Integration. GoNina up the connection without requiring your company to allocate IT resources. Onboarding typically takes only a few days.

3. Forecasts in Everyday Life. As soon as the data starts flowing, the AI learns from your sales history and provides daily updated order suggestions. Over the first few weeks, the forecast becomes increasingly accurate.

Getting started is risk-free: GoNina a 4-week trial period with a money-back guarantee.

Frequently Asked Questions

Do I need to customize my HS-Soft system for this?
No. CashAssist and WaWiAssist remain your systems, just as they have been. GoNina a forecasting layer to them—nothing changes in the POS system itself or in your day-to-day sales operations.

What happens to our data?
Sales data is used exclusively for your business’s forecasts and is hosted in Switzerland and the EU. No data is shared with third parties.

How soon will I see results?
The first forecasts are available within a few days after onboarding. The AI becomes more accurate with each passing week because it continuously learns from current sales data. Measurable effects on returns typically become apparent within the first few weeks.

Does this also work with multiple locations?
Yes—especially in that case. GoNina for each item and each location. The more locations you have, the greater the benefit of automation.

Conclusion

The data from CashAssist and WaWiAssist is one of the most valuable resources in the business— GoNina it GoNina daily forecasts and specific order recommendations. The path from sales history to data-driven production planning is shorter than many people think.

You can read about how AI sales forecasts work in general in our comprehensive guide for bakeries.

Curious?

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