We are experts in modeling choppy sales with ups and downs. Our retail solution can help you see how different events and influences can affect your sale. We take your historical data and combine it with our enriching data to forecast your sale. We can do cross chain forecasting and utilize data from both supplier and store.
As an additional module, we offer a powerful campaign tool. Using a “What-if” functionality you can see how different pricing will affect the demand. It will also take both global and local events and different influences into account.
We offer interactive and powerful dashboards, visualizing your data in a tangible way. You can modify influences and see all changes in real time.
We also do integrations towards POS and external systems for further usage thru the value chain.
Retail.
Examples of deliveries .
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Sales forecasting
We offer accurate sales forecasting based on historical sales combined with data from our large database of sale influencing events, weather, and more. Get user friendly and interactive visualization to see what influence the forecast and powerful integrations towards external systems.
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Replenishment
Our lightweight replenishment module can couple forecast, stock status, and order plan to make automatic proposals for ordering.
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Campaign forecasting
This is a powerful module for campaign forecasting, including the possibility to run “what if” simulations based on price, channels, medium, and more.
Costumer cases.
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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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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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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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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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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.
