We are experts in forecasting choppy time series, based on a wide range of historical data. With advanced AI modeling we can identify contexts between close to all types of time series and our database of explanatory data.
Using historical data, we can predict how the different events are expected to evolve in the future. This can help you identify the risk of road closing due to bad weather, or accident risk due to driving conditions. For delivery services, it can be used to identify when you need more time for delivery due to traffic jam.
This solution can also be used for other geo-events, and we have experience modeling everything from fishery to hydropower production and power grid load.
We know there are be many more opportunities in this field, helping you optimize your service, profit, and security. Let us know if you see one and we’ll be happy to assist.
Geo hazards and infrastructure.
Examples of deliveries .
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Weather impact on mountain roads
Forecasting the risk of road closing due to bad weather, and accident risk due to driving conditions.
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Weather impact on city traffic
Forecasting the weather impact on road traffic. Used within logistics and transport.
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Fishery and expected catch
For fishery forecast along the Norwegian coast. Used thru the value chain, from fisherman to processors, wholesalers, and stores.
Costumer cases.
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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.
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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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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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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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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.
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.
