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Course Outline

Introduction to AI Applications in Supply Chain and Logistics

  • Developing trends in intelligent logistics
  • Comparing AI with traditional analytics in supply chain management
  • Essential technologies and platforms

Utilizing AI for Demand Forecasting

  • Machine learning techniques for time-series forecasting
  • Addressing seasonal variations and long-term trends
  • Enhancing forecast precision using historical datasets

Optimizing Inventory and Replenishment Strategies

  • Predicting optimal stock levels with AI
  • Calculating safety stock and reorder points
  • Integrating AI solutions with ERP and WMS systems

Route Optimization and Fleet Intelligence

  • Applying shortest path algorithms for efficient delivery
  • Dynamic route planning considering traffic conditions
  • AI-driven transport scheduling

Warehouse Automation and Robotics Integration

  • AI for automating picking, sorting, and storage tasks
  • Implementing computer vision for shelf monitoring
  • Coordination with AGVs and robotic arms

Real-Time Analytics and Dashboard Development

  • Creating live dashboards using Tableau and Python
  • Tracking KPIs via real-time data streams
  • Establishing alert systems and exception management

Case Study and Capstone Project

  • Evaluating a multi-node supply chain scenario
  • Deploying forecasting and routing models
  • Presenting a comprehensive, data-driven logistics optimization strategy

Recap and Future Directions

Requirements

  • Familiarity with supply chain or logistics workflows
  • Prior experience with data analysis or business intelligence tools
  • Foundational knowledge of programming or scripting

Target Audience

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

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