Course in
DEMAND FORECASTING AND PLANNING
Area
Tecnología/Digital/Innovación/Data Science
Modality
Blended
Duration
75 horas
Start date
Effective demand forecasting and planning is critical for businesses aiming to optimize inventory, reduce costs, and improve customer satisfaction. This course provides a comprehensive framework for understanding and implementing forecasting techniques, data analytics, and strategic planning models to enhance decision-making in supply chain and business operations.
Participants will explore quantitative and qualitative forecasting methods, including time-series analysis, regression models, machine learning applications, and collaborative planning. Special focus is placed on real-time data analytics, demand sensing, and scenario planning to help organizations anticipate market fluctuations and respond proactively.
Discover the key modules and concepts
Fundamentals of Demand Forecasting and Planning
- The role of demand forecasting in supply chain and business strategy.
- Understanding demand variability, seasonality, and market trends.
- Key forecasting methodologies: quantitative vs. qualitative approaches.
Forecasting Techniques and Data Analytics
- Time-series forecasting (moving averages, exponential smoothing, ARIMA).
- Causal and regression models for demand prediction.
- Leveraging Big Data, AI, and Machine Learning in demand forecasting.
Collaborative Demand Planning and Supply Chain Integration
- Sales and Operations Planning (S&OP) for cross-functional collaboration.
- Demand sensing and real-time data analytics for adaptive forecasting.
- Case studies on successful demand-driven supply chain models.
Scenario Planning, Risk Management, and Optimization
- Managing demand uncertainty with what-if scenarios and predictive modeling.
- Risk mitigation strategies for stockouts, excess inventory, and disruptions.
- Best practices for aligning demand forecasts with business objectives.
Área
Tecnología/Digital/Innovación/Data Science
Edition
Modality
Blended
Start date
Start the
admission process
admission process
Meet our Faculty
Our exclusive “Learn by doing” method, allows our staff to track student progress more effectively which help them to identify a student's strengths, weaknesses and requirements. Better communication takes place through our hybrid learning methodology, as students can use our different digital platforms to connect and stay in touch with teachers and peers.
If you prefer, you can contact our advisor Arantxa García.
You can do this by calling +34 968456793
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