The Demand Management and Forecasting Techniques Training Course delivered by Oxford Training Centre provides professionals with a robust and analytical foundation to effectively manage demand variability, optimize forecasting practices, and align supply chain operations with real-time market trends. This course is tailored for supply chain professionals seeking to improve operational planning, reduce inventory imbalances, and enhance responsiveness through data-driven forecasting models and demand management strategies.
In the context of Logistics and Supply Chain Training Courses, accurate forecasting and demand planning are central to effective decision-making and cost control. This course addresses both strategic and tactical dimensions of demand planning through practical instruction in demand forecasting training courses, incorporating real-world tools, case simulations, and scenario analysis. Participants are introduced to a wide spectrum of demand forecasting methodologies, including statistical techniques, time series models, and AI-enabled predictive analytics used in modern supply chains.
The curriculum of the Demand Management and Forecasting Techniques Training Course emphasizes alignment across functional areas, including procurement, inventory, production, and sales planning. Modules in forecasting techniques in supply chain training explore how integrated planning frameworks reduce variability, mitigate risk, and enhance collaboration across business units. With a strong focus on precision, agility, and technology adoption, the course covers advanced topics such as demand sensing and predictive analytics training, statistical modelling, and demand signal integration.
Designed for professionals responsible for driving performance in planning and logistics, the course builds core competencies in inventory forecasting and demand planning, capacity analysis, and scenario forecasting. It also introduces key performance indicators and tools to improve forecast accuracy and guide strategic demand management in operations. Whether dealing with short-term volatility or long-range capacity planning, this course supports informed, data-centric decision-making in global and regional supply chains.
Objectives
- Develop strong competencies in demand management training, including scenario-based demand planning and capacity alignment
- Apply statistical techniques and modelling strategies from forecasting models and techniques courses to increase accuracy and reduce demand uncertainty
- Use structured methods in supply chain demand forecasting courses to synchronize operations across procurement, production, and logistics functions
- Enhance forecast accuracy using data integration, cross-functional collaboration, and predictive analytics from forecast accuracy improvement courses
- Design and implement effective demand planning processes using principles from demand planning and supply optimization courses
- Explore the role of advanced analytics, AI tools, and machine learning in demand sensing and predictive analytics training
- Improve inventory management performance through techniques taught in inventory control and demand alignment modules
- Develop and monitor KPIs to measure forecast reliability and demand plan adherence across business units
Target Audience
- Demand planners, supply chain analysts, and inventory managers responsible for implementing and maintaining forecasting systems
- Sales and operations planning (S&OP) professionals working in sales and demand planning training functions
- Procurement, logistics, and warehousing personnel seeking to align capacity and service levels with forecasted demand
- Mid- to senior-level managers in manufacturing, distribution, and retail seeking to optimize operations through strategic demand management in operations
- Business analysts, data scientists, and forecasting professionals exploring methods from statistical demand forecasting training and predictive modelling
- Functional leaders coordinating cross-departmental planning through integrated business planning and forecasting processes
- Consultants and advisors involved in supply chain planning and forecasting training for large-scale or high-variability environments
How Will Attendees Benefit?
- Acquire practical expertise in planning models and tools taught in forecasting tools and best practices courses to improve demand visibility and resource allocation
- Strengthen their ability to respond to demand variability through structured methods developed in time series forecasting in supply chain applications
- Build forecasting dashboards using KPIs and metrics to support operational planning and improve forecast accuracy
- Gain a deeper understanding of how to implement demand-driven supply chain strategy and align it with corporate objectives
- Apply best-in-class forecasting techniques to reduce forecast error and safety stock requirements across distribution channels
- Use data to anticipate future trends and support revenue planning, capacity scheduling, and budget forecasting
- Integrate cross-functional data sets to improve planning outcomes through techniques from operations planning and demand forecasting
- Manage planning complexity in multi-location, multi-product environments using insights from advanced demand forecasting techniques training
Course Content
Module 1: Foundations of Demand Management
- Key concepts in demand management training and their role in supply chain decision-making
- Understanding demand variability, seasonality, and trend drivers
- Collaboration across departments in demand planning processes
Module 2: Forecasting Methodologies and Tools
- Overview of qualitative and quantitative forecasting methods
- Use cases from forecasting models and techniques courses
- Selection and application of appropriate models based on data availability and business objectives
Module 3: Statistical Forecasting and Time Series Techniques
- Principles of statistical demand forecasting training
- Time series methods including moving average, exponential smoothing, and regression models
- Applying time series forecasting in supply chain with demand history and sales data
Module 4: Forecast Accuracy and Error Reduction
- Metrics for forecast evaluation: MAPE, MAD, RMSE
- Root-cause analysis for forecast deviations
- Practical tools from forecast accuracy improvement courses
Module 5: Demand Sensing and Predictive Analytics
- Near real-time demand sensing techniques
- Incorporation of machine learning and AI in demand sensing and predictive analytics training
- Scenario forecasting and risk modelling
Module 6: Integrated Business Planning and S&OP
- The role of cross-functional collaboration in integrated business planning and forecasting
- Aligning demand forecasts with financial and operational plans
- S&OP meeting structure and planning cycles
Module 7: Inventory Planning and Demand Alignment
- Linking demand forecasts with inventory planning
- Safety stock calculation and service level analysis
- Best practices in inventory control and demand alignment
Module 8: Demand Forecasting in Global Supply Chains
- Forecasting challenges in multi-location, multi-market operations
- Managing volatility and demand latency across regions
- Techniques from demand-driven supply chain strategy
Module 9: Forecasting Software and Digital Tools
- Evaluation of software tools and ERP system integration
- Data quality management and system governance
- Applications from forecasting tools and best practices courses
Module 10: Strategic Planning and Long-Term Forecasting
- Linking long-term forecasts to capacity and investment decisions
- Demand planning in new product development and market expansion
- Advanced scenario planning from strategic demand management in operations