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Course Outline

Introduction to S&OP

  • Understanding Sales and Operations Planning.
  • Key benefits and challenges associated with S&OP.
  • The S&OP cycle and its integration with supply chain planning.

Demand Forecasting Techniques

  • Statistical forecasting methods (moving averages, exponential smoothing).
  • The role of machine learning and AI in demand forecasting.
  • Addressing seasonality, trends, and demand variability.

Data Analytics for S&OP

  • Identifying data sources and analyzing demand signals.
  • Using Excel and Power BI for demand planning.
  • Developing data-driven forecasting models.

Optimizing Forecast Accuracy

  • Identifying forecast errors and bias.
  • Strategies to improve forecast accuracy.
  • Best practices for aligning cross-functional teams.

Inventory and Supply Planning

  • Balancing inventory levels against demand fluctuations.
  • Optimizing replenishment strategies.
  • Managing perishable versus non-perishable products.

Cross-Functional Collaboration

  • Aligning sales, operations, and finance within S&OP.
  • Building consensus in forecasting and planning.
  • Effective communication strategies for S&OP meetings.

Technology and Tools for S&OP

  • Overview of modern S&OP software solutions.
  • Implementing digital dashboards for real-time decision-making.
  • Case studies on successful S&OP implementations.

Continuous Improvement in S&OP

  • Monitoring and refining the S&OP process.
  • Measuring key performance indicators (KPIs).
  • Strategies for achieving 95% forecast accuracy.

Summary and Next Steps

Requirements

  • Fundamental understanding of supply chain management principles.
  • Prior experience with demand planning and forecasting techniques.
  • Basic proficiency in Excel or supply chain analytics software.

Target Audience

  • Demand planners.
  • Supply chain professionals.
  • Operations managers.
 14 Hours

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