Welcome to the Chair of Marketing

Zum nächstmöglichen Termin suchen wir eine engagierte Teamassistenz / Fremdsprachensekretär/in (m/w/d, 50%, E9a TV-L), die mit Motivation und Professionalität unsere Arbeitsgruppe Marketing bereichert. Weitere Informationen finden Sie hier. Wir freuen uns auf Ihre Bewerbung! Bewerbungsfrist 12. Juli 2024.

Exam Review for B321B Brand Management and B321J Consumer Behavior (first exam) Summer Term 2024 will take place on Wednesday, July 3, 2024 from 9 - 10.00am sharp (FSR ground floor, Nauklerstr. 47). Registration is possible until  Monday, July  1 (noon). Please send an email to: marketing@uni-tuebingen.de indicating your first name/name/student ID and the name of the exam. Time slots will be coordinated individually (you will receive an email on Tuesday of the slot you have been allocated).

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.