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AI in Supply Chain

Supply Chain Management
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AI in Logistics and Supply Chain Management

Course Overview

AILSCM

Lean AI in Logistics and Supply Chain Management

The AI in Logistics and Supply Chain Management (AILSCM) Certificate helps professionals understand how AI can improve forecasting, inventory management, logistics operations, and supply chain decision-making for greater efficiency and performance.

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What You Will Learn

The main objectives of the course are:

  • Understand the fundamentals of Artificial Intelligence in supply chains.
  • Explore AI applications in logistics and transportation management.
  • Improve demand forecasting using AI-powered analytics.
  • Optimize inventory planning and replenishment decisions.
  • Enhance supply chain visibility through intelligent technologies.
  • Apply predictive analytics for better decision-making.
  • Understand machine learning concepts for supply chain improvement.
  • Improve logistics efficiency through automation and AI tools.
  • Explore AI-driven risk management and disruption forecasting.
Learn how Artificial Intelligence is reshaping logistics and supply chains through smarter forecasting, inventory optimization, and data-driven decision-making that enhance operational performance.

Who Should Enroll

This certificate is designed for supply chain professionals, logistics managers, planners, analysts, and operations leaders seeking to leverage AI for smarter decision-making and improved performance.

Skills You Will Build

  • Artificial Intelligence
  • Supply Chain Analytics
  • Predictive Analytics
  • Machine Learning Fundamentals
  • Demand Forecasting
  • Inventory Optimization
  • Data-Driven Decision Making
  • Logistics Automation
  • Supply Chain Visibility
  • AI-Powered Planning
  • Risk Prediction
Target Competencies
  • AI in Supply Chain Management
  • Predictive Analytics
  • Machine Learning Applications
  • Logistics Optimization
  • Inventory Intelligence
  • Demand Forecasting
  • Digital Supply Chain Transformation
  • Data-Driven Decision Making
  • Process Automation
  • Supply Chain Visibility
  • Risk Management
Student

Course Outline - AI in Logistics and Supply Chain Management

Module 1: Foundations of AI in Supply Chain Management

  • What AI Really Means in a Supply Chain Context
  • The AI Capability Stack: Four Key Distinctions
  • AI Value Across Supply Chain Functions
  • Applying the AI Stack in Real-World Scenarios

Module 2: From Reactive to Predictive and Autonomous Supply Chains

  • The Supply Chain Maturity Curve
  • Descriptive, Predictive, and Prescriptive Analytics
  • Toward Self-Driving and Autonomous Supply Chains
  • Human-in-the-Loop Versus Full Automation

Module 3: The Business Case and ROI of AI in Supply Chains

  • Where AI Creates Measurable Value
  • Cost, Service, Cash, and Resilience Trade-offs
  • Building a CFO-Grade Business Case
  • Total Cost of Ownership and Hidden Costs

Module 4: Data, ERP, and Digital Foundations for AI

  • Why Data Is the Fuel for Supply Chain AI
  • ERP, Master Data, and System Integration
  • Data Quality, Governance, and Lineage
  • Cloud, IoT, and the Modern Data Architecture

Module 5: AI for Demand Forecasting and Sensing

  • Classical Forecasting Versus AI-Based Forecasting
  • Matching Forecasting Methods to SKU Types
  • Demand Sensing and Real-Time Signals
  • Scenario Planning and Forecast KPIs

Module 6: Inventory Optimization and Replenishment with AI

  • The Economics of Inventory in an AI Era
  • Multi-Echelon Inventory Optimization
  • Dynamic Safety Stock and Service Levels
  • AI-Driven Replenishment and Allocation

Module 7: AI in Materials Management and Production Support

  • Materials Requirements Planning Reimagined with AI
  • Predictive Maintenance and Spare-Parts Planning
  • Production Scheduling and Bottleneck Detection
  • Quality, Yield, and Computer Vision on the Line

Module 8: Warehouse Management and Fulfillment Automation

  • The Intelligent Warehouse: An Overview
  • Robotics, AMRs, and Goods-to-Person Systems
  • AI-Optimized Slotting and Picking
  • Labor Planning and Fulfillment Orchestration

Module 9: AI-Driven Transportation, Distribution, and Logistics

  • Route Optimization and Dynamic Dispatch
  • Freight Procurement and Rate Intelligence
  • Real-Time Visibility and ETA Prediction
  • Last-Mile Delivery and Autonomous Vehicles

Module 10: Supplier Risk Sensing, Procurement Coordination, and Supply Resilience

  • Mapping Multi-Tier Supplier Networks
  • AI-Powered Supplier Risk Sensing
  • Intelligent Sourcing and Procurement Coordination
  • Building Resilience Against Disruption

Learn at your convenience

*Note: These are self-paced courses, allowing learners to study independently at their own pace.

Course Fees
$99$199
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