Demand Forecasting Project for Researchers

The Demand Forecasting Project for Researchers provides an in-depth exploration of advanced methodologies in demand forecasting tailored for professionals in retail, trade, and logistics. Participants will engage in a project-based learning environment, where they will apply theoretical concepts to real-world scenarios, enhancing their analytical skills and practical knowledge. The course emphasizes interactive collaboration, encouraging participants to share insights and publish their findings in Cademix Magazine, fostering a vibrant academic and professional community.
Throughout the program, learners will delve into various forecasting techniques, data analysis methods, and the integration of technology in demand planning. The curriculum is designed to equip participants with the tools necessary for effective decision-making in dynamic market conditions. By the end of the course, attendees will have completed a comprehensive final project that synthesizes their learning and demonstrates their forecasting capabilities.
Introduction to Demand Forecasting Concepts
Overview of Data Sources and Collection Techniques
Quantitative Methods for Demand Forecasting
Qualitative Approaches and Market Research Techniques
Time Series Analysis and Forecasting Models
Advanced Statistical Techniques in Demand Forecasting
Integration of Machine Learning in Demand Planning
Scenario Planning and Its Impact on Forecast Accuracy
Tools and Software for Demand Forecasting
Final Project: Developing a Comprehensive Demand Forecasting Plan

To develop advanced skills in demand forecasting and enhance participants' ability to apply these skills in practical settings.

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

A background in statistics or data analysis; familiarity with retail or logistics operations is beneficial.