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Course Outline

Introduction to AI in Supply Chain and Logistics

  • Current trends in smart logistics
  • Comparative analysis of AI versus traditional analytics in supply chain management
  • Essential technologies and platforms

AI-Driven Demand Forecasting

  • Applying machine learning to time-series forecasting
  • Managing seasonality and trend components in data
  • Enhancing forecast accuracy through historical data analysis

Inventory Optimization and Replenishment Strategies

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

Route Optimization and Fleet Intelligence

  • Leveraging shortest path algorithms for delivery routing
  • Implementing traffic-aware dynamic route planning
  • Utilizing AI-enabled transport scheduling

Warehouse Automation and Robotics Integration

  • Automating picking, sorting, and storage processes with AI
  • Employing computer vision for shelf monitoring
  • Coordinating operations with AGVs and robotic arms

Real-Time Analytics and Dashboarding

  • Creating live dashboards using Tableau and Python
  • Tracking KPIs via real-time data streams
  • Configuring alerts and exception handling mechanisms

Case Study and Capstone Project

  • Analyzing complex multi-node supply chain scenarios
  • Applying forecasting and routing models to practical cases
  • Presenting a comprehensive, data-driven logistics optimization plan

Recap and Future Directions

Requirements

  • Foundational knowledge of supply chain or logistics operations
  • Practical experience with data analysis or business intelligence platforms
  • Basic proficiency in programming or scripting languages

Target Audience

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

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Testimonials (3)

Provisional Upcoming Courses (Require 5+ participants)

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