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 Singapore provide professionals with a comprehensive and practical foundation in predicting demand, optimizing inventory, and enhancing supply chain responsiveness. Designed for supply chain managers, planners, analysts, and business leaders, these programs explore modern forecasting models, data-driven planning techniques, and strategic decision-making tools essential for building resilient and efficient supply chains.
Participants gain deep insight into the core components of demand planning, including demand sensing, statistical forecasting, and integrated business planning (IBP). The courses highlight how data analytics, market intelligence, and technology-driven forecasting systems contribute to improved accuracy and alignment between supply and market needs. Through real-world case studies and hands-on exercises, attendees learn to apply forecasting methods, optimize inventory levels, and manage variability across dynamic supply networks.
These supply chain forecasting and demand planning training programs in Singapore also emphasize the importance of cross-functional collaboration, scenario analysis, and performance measurement. Participants examine advanced topics such as machine learning applications in forecasting, sales and operations planning (S&OP), and risk mitigation strategies for supply uncertainty. The curriculum blends theoretical foundations with practical tools that help professionals enhance forecasting reliability, streamline planning cycles, and strengthen organizational agility.
Attending these training courses in Singapore provides a valuable opportunity to learn from industry experts and collaborate with peers from diverse sectors. Singapore’s role as a global logistics hub enriches the learning experience, offering participants exposure to innovative supply chain practices and international perspectives. By completing this specialization, professionals will be equipped to implement effective demand planning strategies, leverage forecasting technologies, and develop supply chain processes that support operational excellence in today’s fast-changing global environment.