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GoNina you GoNina reliable figures for your planning every day—for every location and every item.
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We connect directly to your POS system and automatically retrieve all relevant data.
We already support HS Soft, ProtecData, and Lightspeed, with additional systems available upon request.
In addition, our AI takes into account location-specific influences from outside your business.
The external data is automatically retrieved and continuously updated.
You will receive daily forecasts for the next 7 days, broken down by location and item. The forecasts show the expected quantities and the expected sales in USD.
This gives you a reliable basis for your daily planning.
All forecasts are clearly displayed in the dashboard and can be compared with orders, sales, and surpluses.
You can immediately identify trends and see which locations, categories, or items have untapped sales potential—and where the largest surpluses are occurring.
You control the forecasts with 5 sensitivity levels, depending on how tight or generous the forecast should be.
In addition, you can define rules such as minimum and maximum quantities and map special cases such as frozen goods or items with fixed specifications.
The forecasts are transferred directly to your existing systems such as HS Soft, ProtecData, or Lightspeed.
Import and export run automatically in the background, while manual adjustments remain possible during daily operations.
Based on real results from over 50 locations.
Whether it's a staff restaurant, hospital cafeteria, or takeaway: wherever food is prepared in advance, demand fluctuates greatly. A sunny day, a holiday, or payday can change everything. The result: surpluses or empty buffets.
GoNina management coordinate quantities based on data—for more planning security and less stress in day-to-day business.
Baked goods have short sales windows and demand is anything but constant. Weather, season, day of the week, or holidays in the neighborhood—all of these factors influence sales. Returns are expensive, and excessive pressure on goods hurts sales.
GoNina with small and large bakeries and provides accurate forecasts per branch and item—so that planning and production match.
In retail, every hour counts when it comes to spoilage or sales. Promotions, weather, and customer traffic can quickly lead to overstocking or understocking.
GoNina retailers better estimate demand and sell fresh products in time—before they become write-offs.
Caterers, food trucks, and cafés are struggling with highly fluctuating demand and limited resources. Precise planning is a challenge.
GoNina clarity and automatically generates forecasts based on sales and location data—leaving you more time to focus on your business.
In an initial consultation, we will demonstrate how GoNina , using real-life examples.
You will immediately see how our AI forecasts could benefit your business.
Start risk-free and try GoNina for GoNina weeks in your everyday life.
If you are not convinced, you will get your money back – no strings attached.
After the trial phase, we'll take care of everything else.
We'll support you with fine-tuning and be available for any questions.
They are based on your historical sales data and over 150 influencing factors. Accuracy improves continuously as the database grows. On average, forecasts are around 92% accurate.
You receive daily forecasts for the next 7 days, for each location and each item in terms of quantity and USD. The forecasts are updated daily and adjusted to new developments.
GoNina directly into existing systems such as HS Soft, ProtecData, or Lightspeed. Additional systems are constantly being added and can be connected upon request.
The forecasts are incorporated into your existing systems as recommendations. However, you and your employees can still adjust or overwrite the quantities as usual.
External factors such as weather, holidays, or events are automatically included in the forecast. You can also use rules to map special cases, such as fixed quantities or minimum values.
GoNina available in German, French, Italian, and English. The language can be set as needed.
There is a one-time implementation fee, depending on the size of the business. In addition, there is a monthly fee based on the number of locations.
The introduction is deliberately kept simple. After an initial exchange, the data is connected, initial forecasts are created, and fine-tuned together during the test phase.
