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 Duration 14 hours

Course Outline

Introduction to Sales and Operations Planning (S&OP)

  • Definition and scope of Sales and Operations Planning
  • Primary advantages and operational challenges associated with S&OP
  • The S&OP cycle and its alignment with broader supply chain strategies

Demand Forecasting Methodologies

  • Statistical forecasting approaches, including moving averages and exponential smoothing
  • Application of machine learning and artificial intelligence in demand projection
  • Managing seasonality, long-term trends, and fluctuations in demand

Data Analytics Applications in S&OP

  • Identification of data sources and analysis of demand signals
  • Utilizing Excel and Power BI for effective demand planning
  • Development of evidence-based forecasting models

Strategies for Enhancing Forecast Precision

  • Detection and analysis of forecast errors and systematic bias
  • Methodologies to improve the accuracy of demand predictions
  • Best practices for fostering alignment among cross-functional stakeholders

Inventory Management and Supply Planning

  • Balancing inventory holdings against variable demand patterns
  • Optimization of replenishment procedures
  • Distinct management strategies for perishable and non-perishable goods

Cross-Functional Coordination

  • Synchronizing sales, operations, and finance functions within S&OP
  • Achieving consensus in forecasting and planning processes
  • Effective communication protocols for S&OP review meetings

Technological Platforms and Tools for S&OP

  • Overview of contemporary S&OP software solutions
  • Deployment of digital dashboards to support real-time decision-making
  • Case studies demonstrating successful S&OP adoption

Continuous Improvement in S&OP

  • Monitoring and iterative refinement of the S&OP workflow
  • Evaluation of key performance indicators (KPIs)
  • Strategic approaches to achieving a 95% forecast accuracy rate

Summary and Recommended Actions

Requirements

  • Familiarity with core principles of supply chain management
  • Practical experience with demand planning and forecasting methodologies
  • Fundamental competence in using Excel or supply chain analytics platforms

Intended Audience

  • Demand Planners
  • Supply Chain Specialists
  • Operations Managers

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