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Master Thesis: [Machine Learning] Sales and price forecasting for perishable goods by the example of apples

27.08.2021, Diplomarbeiten, Bachelor- und Masterarbeiten

[Machine Learning]: Sales and price forecasting for perishable goods by the example of apples Predicting the future based on historical observations is a common problem in many areas. For this purpose, modern statistical and machine learning based methods for Time Series Forecasting are widely applied. The goal of this thesis is to develop a sales and price forecasting system using classical Time Series Forecasting (e.g. Exponential Smoothing or ARIMA) and Machine Learning (e.g. XGBoost or LSTM) approaches and datasets provided by our partner Agrarmarkt Informations-GmbH. Finally, you should draw a conclusion whether sales and prices of apples are predictable and if the results are likely to generalize for other species. MORE INFORMATION: Opportunities Bioinformatics TUM Straubing

Kontakt: florian.haselbeck@tum.de

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