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Building a demand prediction dashboard using statistical forecasting methods
| Nome: | Descrição: | Tamanho: | Formato: | |
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| 3.83 MB | Adobe PDF |
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Orientador(es)
Resumo(s)
Data-driven pricing and demand forecasting gained
popularity with increasing data availability. Start-ups
encounter high uncertainty due to a lack of internal data
before market entry. For the market entry in the Iberian
Peninsula of Oceano Fresco, a sustainable seafood start up, the market of clams with its demand and supply
factors are analyzed based on a publicly available
database. Demand is forecasted with an ARIMA model,
and monthly profit is maximized with a Newsvendor
Model. Two managerial Excel dashboards are created to
illustrate the latest developments on the clam market and
offer a monthly production planning tool.
Descrição
Palavras-chave
Prediction Demand Clams Forecasting Arima Forecast Dashboard Graph