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Course Outline
Introduction to S&OP
- Defining Sales and Operations Planning
- Core advantages and common challenges associated with S&OP
- The S&OP cycle and its synergy with broader supply chain planning
Demand Forecasting Methodologies
- Statistical approaches including moving averages and exponential smoothing
- The role of machine learning and AI in forecasting demand
- Managing seasonality, trends, and inherent demand variability
Data Analytics in S&OP
- Identifying data sources and analyzing demand signals
- Applying Excel and Power BI for robust demand planning
- Constructing forecasting models driven by data insights
Improving Forecast Precision
- Detecting forecast errors and underlying biases
- Techniques to elevate overall forecast accuracy
- Best practices for aligning objectives across cross-functional teams
Inventory and Supply Strategies
- Balancing stock levels against shifting demand patterns
- Refining replenishment strategies for efficiency
- Managing distinct requirements for perishable versus non-perishable items
Cross-Functional Alignment
- Harmonizing sales, operations, and finance perspectives within S&OP
- Establishing consensus during forecasting and planning phases
- Communication strategies for effective S&OP meetings
Technology and Tools for S&OP
- Survey of contemporary S&OP software solutions
- Deploying digital dashboards for real-time insights and decisions
- Analysis of case studies highlighting successful S&OP rollouts
Continuous Improvement in S&OP
- Monitoring and refining the S&OP workflow
- Tracking key performance indicators (KPIs)
- Strategic approaches to achieving 95% forecast accuracy
Summary and Future Actions
Requirements
- Foundational knowledge of supply chain management concepts
- Prior exposure to demand planning and forecasting methods
- Competence in utilizing Excel or standard supply chain analytics software
Target Audience
- Demand Planners
- Supply Chain Specialists
- Operations Managers
14 Hours
Testimonials (1)
The input fm other industries through the trainer.