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 Manama provide professionals with a comprehensive understanding of the analytical tools, forecasting techniques, and strategic decision-making processes that drive accurate demand planning within modern supply chains. Designed for supply chain planners, procurement specialists, operations managers, and business analysts, these programs emphasize the critical role of data-driven forecasting in enhancing efficiency, reducing costs, and improving service delivery.
Participants explore a wide range of forecasting methodologies, including qualitative assessments, time-series analysis, statistical models, and demand-sensing approaches. The courses highlight how accurate forecasts support inventory optimization, production planning, capacity management, and supplier coordination. Through case studies, scenario-based exercises, and hands-on simulations, attendees learn to interpret demand patterns, evaluate market variations, mitigate uncertainty, and build responsive planning frameworks that support organizational agility.
These demand planning and forecasting training programs in Manama also focus on integrating technology and analytics into supply chain planning processes. Participants gain practical insights into collaborative planning systems, performance measurement tools, and the application of predictive analytics to improve forecast accuracy. The curriculum emphasizes cross-functional alignment, helping professionals strengthen communication between supply chain, sales, marketing, and finance teams to ensure cohesive and efficient planning cycles.
Attending these training courses in Manama provides an enriching environment where participants benefit from expert-led instruction and engagement with peers from diverse industries. The city’s strategic position as a regional business hub enhances professional networking and encourages meaningful knowledge exchange. By completing this specialization, participants will be equipped to lead effective demand planning initiatives—leveraging analytical insight, strategic foresight, and best-in-class forecasting practices to support resilient, high-performing supply chains in an increasingly dynamic global marketplace.