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SQ700 Projektmanagement-Seminar mit Professionals aus der IT-Branche

Case Study und Networking mit Professionals aus der IT-Branche
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Anmeldeschluss am 26.05.2024

Masterarbeit im Rahmen einer Unternehmenskooperation

Can Data Integration Improve Consumer Demand Planning in the Photovoltaic Industry?

  • Forecasting customer demand is a critical business process in most industries. Forecasting solutions in business practice often focus on manual forecasting (“expert forecasts”) or timeseries forecasting. However, these approaches neglect the explanatory power of important external factors for customer demand and may thus lead to poor forecast accuracy in the volatile business environment of the PV industry.
  • The goal of this work is to assess whether integrating internal and auxiliary data (e.g., historical data, seasonalities, expert forecasts, time series forecasts, customer demand signals, market data, price developments, Google trends, …) can be leveraged to build a feature-driven demand forecasting model and to improve the demand forecast accuracy at BayWa r.e. Solar Energy Systems.
  • This thesis requires solid knowledge of and experience with R / Python as well as experience with Machine Learning.

Supervision: Prof. Dr. Dominik Papies with Dr. David Scheuermann (BayWa r.e. Solar Energy Systems)
On this page you will find all important information about the application process.

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Dr. Dominik Papies
Professor of Marketing

Nauklerstr. 47
1st floor, room 111
 +49 7071 29-78202

Program Coordinator:

Office Hours
on the time being, we have no general office opening hours. All counselling appointments are via video call. If you would like to make a Zoom appointment, please email marketingspam 

Team Assistant
Monika Burkhardt

 +49 7071 29-78202

Upcoming Events

Business Research Seminar Summer Term 2024
May 15, Simone Wies, Ph.D, Professor of Marketing Strategy & Performance (Goethe University Frankfurt)
Further details will be provided here.