Get in Touch
 Duration 21 hours

Course Outline

Introduction to AI in Supply Chain and Logistics

  • Emerging trends in smart logistics
  • Comparison of AI versus traditional analytics in supply chain management
  • Essential technologies and platforms

AI-Driven Demand Forecasting

  • Time-series forecasting using machine learning
  • Managing seasonality and trend components
  • Enhancing forecast precision with historical data

Inventory Optimization and Replenishment Strategies

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

Route Optimization and Fleet Intelligence

  • Shortest path algorithms and delivery routing
  • Traffic-aware dynamic route planning
  • AI-enabled transport scheduling

Warehouse Automation and Robotics Integration

  • AI in picking, sorting, and storage automation
  • Computer vision for shelf monitoring
  • Coordinating with AGVs and robotic arms

Real-Time Analytics and Dashboarding Solutions

  • Live dashboards using Tableau and Python
  • Monitoring KPIs via real-time data streams
  • Generating alerts and handling exceptions

Case Study and Capstone Project

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

Summary and Recommended Next Steps

Requirements

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

Target Audience

  • Supply chain analysts
  • Logistics managers
  • Industrial planners

Number of participants


Price per participant

Testimonials (4)

Upcoming Courses

Related Categories