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 Amsterdam equip professionals with the critical skills and strategies needed to optimize supply chain operations through effective demand forecasting and planning. Designed for supply chain managers, procurement specialists, operations executives, and demand planners, these programs focus on the tools and techniques to predict customer demand, optimize inventory levels, and ensure timely delivery while minimizing costs and stockouts.
Participants will gain a comprehensive understanding of demand planning and forecasting methodologies, including qualitative and quantitative forecasting models, statistical analysis, and demand sensing. The courses delve into best practices for integrating demand data with supply chain operations, allowing for improved decision-making and better alignment with market fluctuations. Through interactive workshops, case studies, and practical exercises, attendees will learn how to use demand forecasting tools, assess demand variability, and incorporate factors such as seasonality, market trends, and promotional activities into their forecasting models.
These demand planning and forecasting training programs in Amsterdam also explore the integration of advanced technologies, such as artificial intelligence (AI), machine learning (ML), and big data analytics, in enhancing forecasting accuracy. Participants will learn to implement real-time data collection and analysis techniques, helping to improve demand visibility and reduce risks associated with inaccurate forecasts. The courses also emphasize the importance of cross-functional collaboration in aligning demand plans with production, procurement, and distribution processes.
Attending these training courses in Amsterdam offers professionals the opportunity to learn from global experts and network with peers from diverse industries. Amsterdam, a key global logistics hub, provides an ideal backdrop for discussing emerging trends and innovations in demand planning and forecasting. By the end of the program, participants will be equipped with the knowledge and tools to enhance supply chain efficiency, reduce costs, and deliver superior service through data-driven demand planning and forecasting practices.