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Course Outline

Introduction to AI in Supply Chain and Logistics

  • Emerging trends in intelligent logistics
  • AI versus conventional analytics in supply chain management
  • Essential technologies and digital platforms

AI-Driven Demand Forecasting

  • Machine learning approaches to time-series forecasting
  • Managing seasonality and long-term trends
  • Enhancing forecast precision using historical data

Optimizing Inventory and Replenishment

  • AI-based prediction of optimal stock levels
  • Calculating safety stock and reorder points
  • Integrating AI with ERP and WMS systems

Fleet Intelligence and Route Optimization

  • Delivery routing using shortest path algorithms
  • Dynamic route planning with traffic awareness
  • AI-powered transport scheduling

Warehouse Robotics and Automation

  • AI applications in picking, sorting, and storage automation
  • Computer vision for monitoring shelves
  • Coordination with AGVs and robotic arms

Real-Time Analytics and Dashboards

  • Building live dashboards using Tableau and Python
  • Monitoring KPIs via real-time data streams
  • Implementing alert generation and exception handling

Case Studies and Capstone Project

  • Analyzing multi-node supply chain scenarios
  • Applying forecasting and routing models
  • Presenting a data-driven logistics optimization strategy

Recap and Future Directions

Requirements

  • Fundamental knowledge of supply chain or logistics operations
  • Proficiency with data analysis or business intelligence platforms
  • Basic familiarity with programming languages or scripting

Target Audience

  • Supply chain analysts
  • Logistics managers
  • Industrial planners
 21 Hours

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