Course Overview
Demand planning and forecasting are vital for aligning supply, production, and inventory with market demand. Inaccurate forecasts can lead to stockouts, overstocking, and higher costs, while effective planning ensures agility, resilience, and customer satisfaction.
This Demand Planning & Forecasting in Supply Chain Management Training Course introduces participants to forecasting models, demand planning processes, and advanced data-driven tools. Through case studies, simulations, and practical exercises, participants will learn how to improve forecast accuracy, integrate planning with supply chain operations, and respond effectively to market volatility.
By the end of this course, participants will be able to develop robust demand plans that minimize risks, optimize inventory, and enhance overall supply chain efficiency.
Course Benefits
Improve forecasting accuracy using proven models.
Align supply, production, and inventory with demand.
Strengthen resilience against demand volatility.
Enhance collaboration across supply chain functions.
Reduce costs and improve customer satisfaction.
Course Objectives
Define the role of demand planning in supply chain strategy.
Apply qualitative and quantitative forecasting methods.
Use time-series, regression, and causal models.
Integrate demand forecasts into S&OP processes.
Manage variability and uncertainty in demand planning.
Utilize digital tools and analytics for planning.
Develop strategies for continuous forecast improvement.
Training Methodology
The course combines expert lectures, forecasting simulations, case study analysis, and group exercises. Participants will apply forecasting models and planning techniques to real-world supply chain scenarios.
Target Audience
Supply chain and logistics managers.
Demand planners and forecasting analysts.
Procurement and sourcing officers.
Operations and production managers.
Target Competencies
Demand planning and forecasting.
Data-driven decision-making.
Supply-demand alignment.
Risk management in supply chains.
Course Outline
Unit 1: Fundamentals of Demand Planning
Role of demand planning in supply chain strategy.
Key challenges in demand forecasting.
Demand-driven supply chain models.
Case studies: demand planning successes and failures.
Unit 2: Forecasting Methods and Models
Qualitative vs. quantitative forecasting.
Time-series analysis and moving averages.
Regression and causal forecasting models.
Practical exercise: selecting the right model.
Unit 3: Integrating Demand Planning into Supply Chain Operations
Role of forecasting in production and inventory planning.
Aligning forecasts with procurement and sourcing.
Sales & Operations Planning (S&OP).
Workshop: cross-functional planning integration.
Unit 4: Managing Demand Variability and Uncertainty
Identifying demand patterns and seasonality.
Safety stock and buffer planning.
Risk mitigation strategies for demand volatility.
Simulation: managing uncertain demand scenarios.
Unit 5: Digital Tools and Analytics in Forecasting
Advanced planning systems (APS) and ERP integration.
AI and machine learning in demand forecasting.
Real-time analytics and dashboards.
Case study: digital transformation in forecasting.
Unit 6: Collaborative Planning and Stakeholder Engagement
Building collaboration between sales, operations, and supply chain.
Role of suppliers and customers in demand planning.
Overcoming organizational silos.
Practical workshop: collaborative demand planning.
Unit 7: Continuous Improvement in Forecasting
Measuring forecast accuracy (MAPE, bias, etc.).
Identifying gaps and refining models.
Building a culture of continuous improvement.
Personal action plan for demand planning excellence.
Ready to strengthen your demand planning skills?
Join the Demand Planning & Forecasting in Supply Chain Management Training Course with EuroQuest International Training and ensure your supply chain is accurate, agile, and efficient.
The Demand Planning & Forecasting in Supply Chain Management Training Courses in Brussels provide professionals with the analytical frameworks and strategic insights necessary to build accurate forecasts, optimize inventory levels, and align operational planning with market demand. Designed for supply chain managers, demand planners, procurement specialists, logistics coordinators, and business analysts, these programs focus on integrating data-driven forecasting methods with collaborative planning processes to enhance supply chain performance and resilience.
Participants explore the core principles of demand forecasting, including historical trend analysis, quantitative and qualitative forecasting techniques, seasonal and cyclical demand patterns, and scenario-based planning. The courses highlight how forecasting drives key supply chain decisions, influencing production scheduling, inventory management, procurement planning, and distribution logistics. Through case studies, data modeling exercises, and real-world simulations, attendees learn to interpret forecasting outputs, evaluate planning accuracy, and adjust strategies according to dynamic market conditions.
These demand planning and supply chain training programs in Brussels also emphasize the importance of cross-functional collaboration in achieving reliable forecasts. Participants examine communication practices between sales, operations, finance, and procurement teams to support integrated business planning. The curriculum addresses how digital forecasting tools, analytics dashboards, and automation platforms enhance planning precision and speed, enabling organizations to respond proactively to fluctuations in demand.
Attending these training courses in Brussels provides a valuable opportunity to learn within an international and diverse professional environment. Peer exchange and expert-led discussions allow participants to compare practices across industries and explore emerging global supply chain trends.
By the end of the program, participants will be equipped to design and implement effective demand planning strategies that improve forecasting reliability, reduce operational uncertainty, and support cost-efficient supply chain performance. They will be prepared to strengthen organizational responsiveness, enhance customer satisfaction, and contribute to sustainable growth in an increasingly competitive and rapidly evolving market landscape.