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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

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