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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.