Description

Introduction

The digital supply chain is rapidly evolving, and artificial intelligence (AI) is at the forefront of this transformation. AI technologies are enabling smarter, faster, and more resilient supply chains by optimizing logistics, predicting demand, automating procurement, and improving inventory management. This course introduces learners to the fundamentals of AI in supply chain management, explores cutting-edge use cases, and provides practical strategies for implementing AI-powered solutions. Whether you’re a supply chain professional or a technology strategist, this course will help you understand how to leverage AI to build intelligent and responsive supply chain networks.

Prerequisites

• Basic understanding of supply chain operations

• Familiarity with data analytics concepts

• Interest in AI, machine learning, and automation

• No programming experience required (for conceptual understanding)

Table of Contents

1. Introduction to AI in Supply Chain

    1.1 Evolution of Supply Chain Management
    1.2 Role of AI and Machine Learning
    1.3 Benefits and Business Impact

2. AI Technologies in Supply Chain

    2.1 Machine Learning for Demand Forecasting
    2.2 Natural Language Processing (NLP) for Supplier Communication
    2.3 Computer Vision in Warehouse and Logistics

3. Smart Inventory Management

    3.1 Predictive Inventory Optimization
    3.2 AI-based Stock Replenishment Models
    3.3 Reducing Waste with Smart Inventory Systems

4. AI in Logistics and Transportation

    4.1 Real-Time Route Optimization
    4.2 Predictive Maintenance for Fleet Management
    4.3 Last-Mile Delivery with AI

5. Procurement and Supplier Risk Management

    5.1 Intelligent Supplier Selection
    5.2 AI for Vendor Risk Assessment
    5.3 Contract Automation and Compliance

6. End-to-End Visibility and Control Towers

    6.1 AI-Driven Control Towers for Real-Time Insights
    6.2 Enhancing Visibility Across Multi-Tier Supply Chains
    6.3 Case Study: Implementing AI Control Towers

7. Robotic Process Automation (RPA) in SCM

    7.1 Automating Repetitive Supply Chain Tasks
    7.2 RPA and AI Integration for Workflow Optimization
    7.3 Improving Order-to-Cash and Procure-to-Pay Processes

8. Data and Infrastructure for Supply.AI

    8.1 Importance of Quality Data
    8.2 Building a Data Lake for Supply Chain AI
    8.3 AI-Ready Supply Chain Platforms

9. Ethics, Security, and AI Governance

    9.1 Ethical Use of AI in Supply Chain
    9.2 Data Privacy and Cybersecurity
    9.3 Regulatory Compliance and Governance

10. Real-World Case Studies and Trends

    10.1 Retail and E-commerce AI Transformation
    10.2 Manufacturing and Automotive AI Use Cases
    10.3 Future Trends: Generative AI and Autonomous Supply Chain

This course has equipped you with a clear understanding of how AI can revolutionize every facet of the supply chain—from forecasting to logistics, procurement to risk management. With these insights, you’re now better prepared to assess, implement, and innovate AI-driven solutions within your organization. The future of supply chain is smart, connected, and AI-powered—and you’re ready to be a part of it.