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Duration 14 hours
Course Outline
Introduction to S&OP
- Defining Sales and Operations Planning.
- Exploring the primary benefits and challenges of S&OP.
- Understanding the S&OP cycle and its role in supply chain planning.
Demand Forecasting Techniques
- Statistical forecasting approaches (e.g., moving averages, exponential smoothing).
- The role of machine learning and AI in forecasting.
- Managing seasonality, trends, and demand fluctuations.
Data Analytics for S&OP
- Analyzing data sources and demand signals.
- Leveraging Excel and Power BI for planning activities.
- Constructing data-driven forecasting models.
Optimizing Forecast Accuracy
- Detecting forecast errors and biases.
- Strategies for enhancing forecast precision.
- Aligning cross-functional teams effectively.
Inventory and Supply Planning
- Aligning inventory levels with demand shifts.
- Refining replenishment strategies.
- Handling perishable versus non-perishable inventory.
Cross-Functional Collaboration
- Coordinating sales, operations, and finance within the S&OP framework.
- Reaching consensus on forecasts and plans.
- Communication best practices for S&OP meetings.
Technology and Tools for S&OP
- Surveying modern S&OP software solutions.
- Setting up digital dashboards for real-time insights.
- Reviewing case studies of successful S&OP rollouts.
Continuous Improvement in S&OP
- Monitoring and iterating on the S&OP process.
- Tracking key performance indicators (KPIs).
- Pathways to achieving 95% forecast accuracy.
Summary and Next Steps
Requirements
- Foundational knowledge of supply chain management principles.
- Prior experience with demand planning and forecasting methods.
- Basic competency in Excel or supply chain analytics platforms.
Target Audience
- Demand Planners
- Supply Chain Professionals
- Operations Managers
Testimonials (1)
The input fm other industries through the trainer.