Internship Supply Chain - Seasonality & Forecasting - BASF | Nunhems - Haelen/Nunhem

Your Job

How can historical data help us make better forecasting and supply chain decisions? During this internship, you will work on improving the way we translate annual demand forecasts into reliable monthly plans.

Your goal is to develop and test a renewed seasonality concept for our tactical forecasting horizon. By combining data analysis with input from different stakeholders, you will explore which forecasting approach works best and translate your findings into a practical recommendation for the future.

In this role, you will:

• Map the current forecasting process and understand how seasonality is determined today.


• Identify where the current approach creates challenges and assess the impact on forecast accuracy, supply planning, budgeting and inventory.


• Analyse historical sales and forecast data to identify seasonal patterns, differences between crops, volatility and exceptions.


• Explore different planning levels to determine where seasonal patterns are most reliable.


• Develop a clear dashboard that makes seasonal patterns and insights visible and understandable.


• Develop and compare different forecasting approaches, including historical averages, weighted models, dynamic aggregation and time-series methods.


• Test these approaches using historical data and compare their performance based on forecast accuracy, bias and other relevant measures.


• Translate your findings into a practical recommendation for a future seasonality model and a high-level implementation design for SAP IBP.

By the end of your internship, you will have developed a fact-based recommendation that can contribute to better forecasting and supply chain decision-making.

Your Team

You will work in an international supply chain environment where data, commercial insights and operational expertise come together.

Throughout your internship, you will collaborate with colleagues from Demand Planning, Supply Planning, Marketing and country sales teams. You will interview stakeholders to understand their needs, challenge existing ways of working and test whether your proposed solutions work in practice.

You will have room to take ownership of your assignment, investigate different approaches and bring in your own ideas. At the same time, you can rely on the knowledge and experience of colleagues across the organization to help turn your analysis into a practical solution.

Your Profile

What knowledge and experience make you successful in this role?

• You are pursuing a bachelor’s or master’s degree in Supply Chain Management, Data Analytics, Business Analytics, Operations Management, Econometrics or a related field.


• You enjoy working with data and turning complex information into clear insights.


• You have an interest in forecasting, demand planning, supply chain or statistical analysis.


• You are comfortable analysing larger datasets and identifying patterns, trends and exceptions.


• Experience with Excel and data analysis or visualization tools is an advantage.


• Knowledge of forecasting methods, time-series analysis or SAP IBP is a plus.


• You communicate clearly in English, both verbally and in writing.


• You are comfortable connecting with stakeholders from different functions and backgrounds.

How do you create impact beyond expertise?

Own it

• You take ownership of your assignment and follow through on what you agree.


• You work in a structured way and communicate openly about your progress, questions and challenges.


• You build trust by using data carefully and supporting your conclusions with clear evidence.

Drive it

• You are curious and proactively explore why processes work the way they do.


• You look beyond identifying problems and actively develop and test possible solutions.


• You involve stakeholders, ask the right questions and use their input to improve your approach.

Excel in it

• You combine analytical thinking with an understanding of practical business needs.


• You can turn complex analysis into clear conclusions that others can understand and use.


• You critically evaluate your own results and look for solutions that are accurate, scalable and workable in practice.