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Overview Prerequisites Self Study Materials Included Tools What You’ll Learn Course Modules FAQs

What’s Included?

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Prerequisites

    • Foundational knowledge of supply chain concepts, processes, and operations.
    • A general understanding of Artificial Intelligence, including machine learning and data analytics, is recommended.
    • Prior experience with business management or technical tools, such as ERP systems or data analysis software, will be beneficial.
    • Strong analytical and problem-solving skills are essential to understand and apply AI-driven techniques in supply chain scenarios.

Self Study Materials Included

Videos

Engaging visual content to enhance understanding and learning experience.

Podcasts

Insightful audio sessions featuring expert discussions and real-world cases.

Audiobooks

Listen and learn anytime with convenient audio-based knowledge sharing.

E-Books

Comprehensive digital guides offering in-depth knowledge and learning support.

Module Wise Quizzes

Interactive assessments to reinforce learning and test conceptual clarity.

Additional Resources

Supplementary references and list of tools to deepen knowledge and practical application.

Tools You’ll Master

LeewayHertz (ZBrain)

LeewayHertz (ZBrain)

C3.ai

C3.ai

Coupa (LLamasoft)

Coupa (LLamasoft)

Zebra (Workcloud Demand Intelligence Suite)

Zebra (Workcloud Demand Intelligence Suite)

What You’ll Learn

Supply Chain Digitization

Learners will gain skills in applying AI to digitize and automate supply chain operations, enhancing overall efficiency and enabling data-driven decision-making.

AI for Logistics Management

Expertise in integrating AI to enhance logistics planning, warehousing, and transportation, leading to streamlined operations and cost reduction.

Smart Supply Chain Management (SCM)

Learners will acquire knowledge of intelligent SCM systems powered by AI, enabling real-time monitoring, automation, and optimization of supply chain functions.

AI-Driven Supply Chain Optimization

Ability to implement AI techniques such as machine learning and predictive analytics to optimize supply chain processes, including demand forecasting, inventory management, and logistics.

Course Modules

Module 1: Introduction to Artificial Intelligence in Supply Chain
  1. 1.1 Overview of Artificial Intelligence in Supply Chain Management (SCM)
  2. 1.2 Transforming Supply Chains with AI
  3. 1.3 Ethical Implications of AI in Supply Chains
Module 2: Advanced AI Techniques for Supply Chain
  1. 2.1 Machine Learning in Supply Chain
  2. 2.2 Expert Systems in SCM
  3. 2.3 Integrating Images and Text in Supply Chain AI
Module 3: Generative AI in Supply Chain Management
  1. 3.1 The Origin of Generative AI
  2. 3.2 Generative AI in Revenue Management and Demand Forecasting
  3. 3.3 Transformer and LSTM Architectures in Generative AI
Module 4: Supply Chain Digitization
  1. 4.1 Introduction to Supply Chain Digitization
  2. 4.2 Supply Chain Integration and Push-Pull Strategies
  3. 4.3 Supply Chain Resiliency, Planning and Sustainability
Module 5: Intelligent Driven Supply Chain Management
  1. 5.1 Introduction to Smart SCM
  2. 5.2 Employing Smart SCM and Prompt Engineering
  3. 5.3 Future Trends of Smart SCM
Module 6: Industry Aspects of Advanced SCM
  1. 6.1 Introduction to Industrial SCM
  2. 6.2 Business Value from AI and Gen AI in Supply Chain
  3. 6.3 Risks and Challenges of Adopting AI and Gen AI in Industrial SCM
Module 7: Policies of Logistics Management in Supply Chain with AI
  1. 7.1 Role of Supply Chain Management in the Organization
  2. 7.2 Warehousing Strategy for Efficient Supply Chain Management
  3. 7.3 Technical Coverage of SCM with Multi-Dimensional Aspects
Module 8: Supply Chain Masterclass with AI Assistance
  1. 8.1 Supplier Selection and Relationship Management with AI
  2. 8.2 Mastering Advancements in SCM with Modern Artefacts
Optional Module: AI Agents for Supply Chain
  1. What Are AI Agents
  2. What Are AI Agents in Logistics and Supply Chain
  3.  Applications & Trends of AI Agents in Supply Chain
  4. How Does an AI Agent Work
  5. Core Characteristics of AI Agents
  6. Key Advantages of AI Agents in Logistics and Supply Chain
  7. Types of AI Agents

Frequently Asked Questions

You’ll learn about predictive analytics, machine learning for demand planning, and AI-driven logistics management.

You’ll work on projects like optimizing warehouse operations and forecasting supply chain disruptions using AI.

Retail, manufacturing, and logistics industries can significantly benefit from AI-driven supply chain improvements.

You’ll use tools like AI-based optimization software and predictive analytics platforms.

This course teaches how AI can be used to optimize supply chain operations, including demand forecasting and inventory management.