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Duration 14 hours
Course Outline
Introduction to S&OP
- Defining Sales and Operations Planning
- Key advantages and potential challenges within S&OP
- Understanding the S&OP cycle and its role in supply chain integration
Demand Forecasting Techniques
- Statistical forecasting methods (e.g., moving averages, exponential smoothing)
- The role of machine learning and AI in forecasting demand
- Managing seasonality, trends, and demand fluctuations
Data Analytics for S&OP
- Analyzing data sources and demand signals
- Leveraging Excel and Power BI for demand planning
- Developing data-driven forecasting models
Improving Forecast Accuracy
- Detecting forecast errors and identifying bias
- Strategies to enhance forecast precision
- Best practices for aligning cross-functional teams
Inventory and Supply Planning
- Balancing inventory levels against demand changes
- Refining replenishment strategies
- Managing the distinct needs of perishable versus non-perishable products
Cross-Functional Collaboration
- Aligning sales, operations, and finance within the S&OP framework
- Building consensus in forecasting and planning processes
- Communication strategies for effective S&OP meetings
Technology and Tools for S&OP
- Overview of contemporary S&OP software solutions
- Implementing digital dashboards for real-time insights
- Reviewing case studies of successful S&OP implementations
Continuous Improvement in S&OP
- Monitoring and iterating on the S&OP process
- Tracking key performance indicators (KPIs)
- Tactics to achieve a 95% forecast accuracy rate
Summary and Future Actions
Requirements
- Foundational knowledge of supply chain management concepts
- Prior exposure to demand planning and forecasting methods
- Proficiency in Excel or relevant supply chain analytics platforms
Target Audience
- Demand planners
- Supply chain specialists
- Operations managers
Testimonials (1)
The input fm other industries through the trainer.