Demand Forecasting Models

Demand Forecasting Models is a comprehensive course designed to equip participants with the skills and methodologies necessary for effective demand forecasting in the retail and logistics sectors. The curriculum emphasizes practical application through project-based learning, allowing participants to engage with real-world data and scenarios. By the end of the course, learners will have developed a robust understanding of various forecasting models and their implications for supply chain optimization.
Participants will explore a range of forecasting techniques, including quantitative and qualitative methods, and will be encouraged to publish their findings in Cademix Magazine, fostering a culture of knowledge sharing and professional development. The course culminates in a final project where learners will apply their acquired skills to create a demand forecasting model tailored to a specific business case, enhancing their analytical capabilities and market readiness.
Introduction to Demand Forecasting: Concepts and Importance
Overview of Quantitative Forecasting Techniques
Qualitative Forecasting Methods and Their Applications
Time Series Analysis: Components and Techniques
Causal Forecasting Models: Regression Analysis
Seasonality and Trend Analysis in Demand Forecasting
Utilizing Machine Learning for Demand Prediction
Software Tools for Demand Forecasting: An Overview
Case Studies: Successful Demand Forecasting in Retail
Final Project: Developing a Demand Forecasting Model for a Chosen Industry

To develop proficiency in demand forecasting models and their application in supply chain management.

Graduates, job seekers, business professionals, and optionally researchers or consultants.

Basic understanding of statistics and supply chain concepts.