Han, QiweiKuehne, Melina Franziska2022-11-152022-01-212021-12-17http://hdl.handle.net/10362/145523VOIDS is a data science student entrepreneurial project that aims to integrate marketing into demand planning, helping companies to achieve the most accurate way of planning and shaping future demand. The following work applies this vision in a lean agile start-up framework, implementing state-of-the-art deep learning time series forecasting techniques in the business context of the global consumer electronic brand Samsung. The following chapter will present the development of two deep learning models. While the well-known Deep AR model could not improve the overall forecasting accuracy, the newly developed MQCNN showed promising outcomes and resulted in a forecasting accuracy uplift.engMarketingMachine learningBusiness analyticsDeep learningDemand planningConsumer electronicsTime series forecastingDeeparMqcnnDemand forecastingmaster thesis203082680