Gardete, PedroSchoell, Jonas2024-05-032024-05-032023-01-192023-01-18http://hdl.handle.net/10362/166935Data-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.engPredictionDemandClamsForecastingArimaForecastDashboardGraphmaster thesis203364252