Restaurants and cafes.
We are experts in modeling choppy sales with ups and downs, both on daily and hourly level. With our solution for restaurants and cafes, you can learn how both weather conditions and local events influence your visitors.
Our solution can give daily and hourly forecast on both revenue and the number of guests. This gives your business better productions planning and control of goods, as well as a more accurate planning of employees.
The solution has interactive and powerful dashboards, visualizing your data in a tangible way. You can modify influences and see all changes in real time.
All our solutions can be integrated towards POS data, and any other systems such as pre-orders and bookings.
Examples of deliveries .
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![Person holding a smartphone showing a line graph with various data points, next to a cup of coffee, on a gray surface.]()
Guest and revenue forecast
We ca do forecasting of expected number of guests on a daily or hourly level. We take weather and guest influenced events and activities are into account.
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![Smartphone displaying a food inventory management app with categories for bread, buns, rolls, and cakes, showing stock levels and percentages.]()
Production plan
We can convert forecast into a production plan for internal or external production.
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![Computer monitor displaying a financial dashboard with columns of data on daily profit, costs, and personnel expenses, set on a white desk in an office.]()
Budgeting and personnel optimization
Have daily or hourly budgeting, taking costs and expected revenues into account. Adjust the number of employees at work to fit your expected visitor rate.
Costumer cases.
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![Assorted baked pastries on a wooden tray at a bakery counter, with more baked goods displayed in the background.]()
Godt brød - Production planning and sales forecast
Godt Brød is a forward-looking bakery and café, with over 25 locations in Norway.
Our AI engine supplies a production plan for baked goods, and a turnover forecast to a more accurate personnel planning.
Considerations include weather conditions, cruise boat passings, local events, etc. We use bigdata to reduce wastage and ensure the customer gets the baked goods they want - even at the end of the day.
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![Two women on a roller coaster ride with their hair flying, smiling and laughing against a clear blue sky.]()
Parques Reunidos - Visitor and revenue forecast
Parques Reunidos owns and operates over 60 leisure centers across Europe, North America and Australia. They are the only successful leisure park operator with a worldwide presence to manage all types of parks across all segments and regions, and has 50 years of experience.
Our AI engine daily update expected visitor and revenue data for all parks down to channel level.
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![A young man with a short haircut, wearing a light blue shirt and a dark navy cardigan, shopping for fresh produce in a grocery store. He is holding a black crate filled with greens and looking at vegetables on the shelf.]()
Rema 1000 - Sales forecasts
Rema 1000 is one of Norway's largest grocery chains, with about 650 stores, and over 8 000 products available in each store.
Based on over 10 years of historical data we our AI engine daily update expected sales for every product available in every store.
Forecast data are used as basis for logistics through the value chain, improving their logistics, reducing their wastage and decreased sold out items.
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Diplom-Is - Weather analyses and forecasting
Diplom-Is is one of our largest ice cream producers in Norway.
Based on close to 15 years of historical data we analyze how the weather has affected their ice cream demand in the past and see how the weather is expected to affect the ice cream demand in the future.
The delivery optimize their production planning and logistics, and reduce their wastage.
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![Cars parked along a snow-covered street during heavy snowfall, with visibility reduced and snow accumulating on vehicles and the ground.]()
Norwegian Road Authority - Weather influence on driving conditions
The Norwegian Road Authority, also known as Statens Vegvesen, is dedicated to the development and maintenance of a secure, environmentally friendly, and efficient transportation system.
With Norway boasting an extensive road network, numerous sections are susceptible to varying weather conditions. We provide forecasts that assess the likelihood of these vulnerable sections closing due to inclement weather.
Our forecasts play a crucial role in enhancing predictability for all users of the road network, including operators, private drivers, and stakeholders in the transportation and logistics sector.
Industry solutions
ChoppyCast offer services within multiple industries, where combine your historical data with our enriching database. We analyze the history, and predict the future.
