Welcome to the Chair of Marketing

Der Lehrstuhl für Marketing sucht für das Wintersemester 2024/25 engagierte Tutorinnen und Tutoren. Neben einer spannenden Tätigkeit erwartet Sie eine Vergütung als wissenschaftliche Hilfskraft. Weitere Details zur Bewerbung finden Sie hier. Wir freuen uns auf Ihre Bewerbung bis zum 08.09.2024!

The exam review for the following courses will take place on Wednesday, August 14, 2024, from 9:00 AM to 10:35 AM sharp at FSR Ground Floor, Nauklerstr. 47:

• B320 Market Research
• B321B Brand Management
• B321J Consumer Behavior
• DS320 Introduction to Data Science
• B421 eBusiness

Registration Details:

• Deadline: Registration is possible until Monday, August 12, 2024, at noon.
• How to Register: Please register for one of the available time slots following this link.

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.