Effective demand management and forecasting are vital for organisations seeking to align supply with customer needs, minimise waste, and improve operational efficiency. Inaccurate forecasts can result in excess inventory, stockouts, and significant revenue loss. This intensive 5-day Demand Management and Forecasting training course is designed to equip professionals with the knowledge, tools, and techniques needed to develop accurate forecasts, strengthen planning processes, and seamlessly integrate forecasting into supply chain operations.
Participants will explore a wide range of forecasting methods, demand planning frameworks, and data analysis techniques. The course also highlights how demand forecasting supports inventory management, production planning, and overall business strategy. By the end of the training, participants will gain practical insights and proven approaches that enhance decision-making, responsiveness, and business performance.
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Develop Accurate Forecasts – Apply both qualitative and quantitative methods to build reliable demand forecasts.
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Enhance Demand Planning – Understand the processes that drive effective demand planning and its impact on supply chain performance.
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Optimise Inventory Levels – Balance cost efficiency with service level requirements.
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Collaborate Effectively – Foster cross-functional and external partnerships to improve forecast accuracy.
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Apply Statistical Techniques – Gain proficiency in statistical models relevant to forecasting and demand management.
By the end of this training course, participants will be able to:
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Develop and manage demand forecasts that support supply chain decisions.
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Monitor and improve forecast accuracy over time.
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Utilise forecasting techniques to drive revenue growth and operational efficiency.
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Integrate demand planning into broader supply chain and organisational strategies.
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Apply data-driven insights to enhance agility and responsiveness.
The Energy Training Centre Demand Management and Forecasting training course uses a highly interactive and practical approach, combining:
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Instructor-led presentations on forecasting principles and techniques
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Group discussions on real-world demand management challenges
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Hands-on exercises applying forecasting models and methods
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Case studies showcasing successful demand forecasting strategies
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Knowledge checks to reinforce learning and application
Day One: Introduction to Demand Management
- The Role of Demand Management in Supply Chain Operations.
- Key Components of Demand Planning and Forecasting.
- Understanding Demand Variability and its Impact on Business Performance.
- Short-Term vs. Long-Term Demand Planning Considerations.
- Technology and Tools Used in Demand Management.
Day Two: Forecasting Methods and Techniques
- Overview of Qualitative and Quantitative Forecasting Methods.
- Applying Statistical Models Such as Time Series Analysis and Regression.
- Understanding Demand Patterns and Trends.
- Measuring Forecast Accuracy and Performance.
- Using Historical Data to Improve Forecasting Models.
Day Three: Demand Planning and Inventory Management
- The Link Between Demand Forecasting and Inventory Optimization.
- Managing Safety Stock and Reorder Points Based on Forecast Data.
- Balancing Service Levels with Inventory Holding Costs.
- Using Demand Forecasts to Drive Production and Distribution Planning.
- Techniques to Minimize Stockouts and Excess Inventory.
Day Four: Collaborative Forecasting and Planning
- The role of Sales & Operations Planning (S & OP) in Demand Management.
- Internal Collaboration Between Departments for Improved Forecasting Accuracy.
- Working with Suppliers and Customers to Enhance Demand Planning.
- Managing Forecast Adjustments in Response to Market Shifts.
- Communication Strategies for Effective Demand Management.
Day Five: Advanced Demand Planning Strategies
- Leveraging AI and Machine Learning for Predictive Forecasting.
- Scenario Planning and Demand Sensing Techniques.
- Aligning Demand Forecasting with Business Strategy and Financial Planning.
- Using Real-Time Data and Market Insights for Agile Decision-Making.
- Future Trends in Demand Management and Supply Chain Resilience.
