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 Vienna provide professionals with the analytical expertise and strategic understanding needed to predict demand accurately and optimize supply chain performance. Designed for supply chain planners, procurement specialists, logistics managers, and business analysts, these programs focus on the essential methodologies and tools that drive effective demand forecasting and operational alignment in modern supply chains.
Participants explore the core principles of demand planning, including data analysis, trend identification, seasonality modeling, market intelligence integration, and cross-functional collaboration. The courses emphasize how accurate forecasting supports inventory optimization, production scheduling, procurement planning, and customer service performance. Through case studies and hands-on exercises, attendees learn to apply quantitative forecasting techniques such as time-series analysis, regression models, and statistical forecasting, while also incorporating qualitative insights from sales, marketing, and market dynamics.
These demand forecasting and supply chain planning training programs in Vienna also highlight the role of digital tools and advanced technologies in enhancing forecasting accuracy. Participants examine the use of AI-driven analytics, demand sensing platforms, scenario modeling, and real-time data dashboards to improve visibility and responsiveness across supply chain operations. The curriculum blends theoretical knowledge with practical application, enabling professionals to evaluate forecast performance, manage forecast bias, and adjust planning strategies based on changing market conditions.
Attending these training courses in Vienna offers a valuable learning experience supported by expert instructors and a diverse international participant base. The city’s strong business environment provides an ideal backdrop for exploring global supply chain trends and best practices. By completing this specialization, participants are equipped with the skills and strategic insight needed to lead demand planning functions, enhance operational efficiency, and support resilient, data-driven supply chain management in an increasingly dynamic global marketplace.