Module 7.1: Predictive Analytics for Supply Chain

  • Introduction to machine learning concepts
  • Predicting stockouts and shortages
  • Lead time variability analysis
  • Supplier risk prediction
  • Customer churn analysis for B2B

Module 7.2: Prescriptive Analytics

  • What-if scenario analysis
  • Optimization modeling basics
  • Decision trees for supply chain decisions
  • Simulation for capacity planning
  • Risk analysis and mitigation

Module 7.3: Real-Time Analytics

  • Streaming data concepts
  • Real-time monitoring and alerts
  • Event-driven analytics
  • IoT sensor data analysis
  • Live shipment tracking analytics

Hands-On Exercise:

  • Build a simple predictive model for delivery delays
  • Create scenario analysis for capacity planning
  • Design an alert system for inventory exceptions

Tools Covered: Python/R for predictive modeling, Power BI streaming

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