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 and Forecasting in Supply Chain Management Training Courses in Kuala Lumpur provide professionals with a comprehensive understanding of how accurate demand forecasting and integrated planning drive supply chain efficiency, cost control, and customer satisfaction. This specialization is designed for supply chain managers, planners, operations leaders, procurement professionals, and analysts seeking to enhance decision-making and align supply chain performance with market demand.
Participants gain in-depth knowledge of demand planning and forecasting methodologies, focusing on quantitative forecasting techniques, qualitative analysis, and collaborative planning approaches. The programs emphasize how data analytics, historical trends, and market intelligence are used to anticipate demand patterns and reduce uncertainty. Through practical case studies and applied forecasting exercises, participants learn how to translate forecasts into actionable production, inventory, and distribution plans.
These demand planning and supply chain forecasting training programs in Kuala Lumpur balance analytical theory with real-world application. Key topics include sales and operations planning (S&OP), inventory optimization, scenario analysis, and performance measurement. Participants also explore how digital tools, forecasting software, and cross-functional collaboration improve forecast accuracy and responsiveness across complex supply networks. The curriculum highlights the importance of aligning demand planning processes with organizational strategy and operational capabilities.
Attending these training courses in Kuala Lumpur offers a dynamic learning experience led by industry experts with global supply chain experience. The city’s position as a regional trade and logistics hub enhances the relevance of the learning environment through exposure to diverse industries and demand dynamics. By completing this specialization, participants will be equipped to strengthen forecasting accuracy, improve supply chain agility, and support data-driven planning—enabling organizations to reduce risk, optimize resources, and achieve sustainable performance in an increasingly volatile global marketplace.