What does using generative AI for supply chain optimization mean in this course?

In this course, it means using generative AI to support supply chain decisions in areas like demand forecasting, inventory management, and logistics planning. The emphasis is on understanding where AI fits in supply chain work, what kinds of problems it can help with, and how people still review and interpret the results.

When would you use this generative AI approach in supply chain work?

You would use this approach when supply chain decisions depend on changing conditions, uncertain demand, or multiple variables that are difficult to manage with fixed rules alone. The course places it in practical situations such as forecasting demand, setting inventory levels, and adjusting logistics plans.

How does this approach fit into a broader supply chain workflow?

This approach fits after you have identified a supply chain problem and before you expand a solution across day-to-day operations. The course shows it as part of a broader process that includes selecting a use case, preparing and checking data, reviewing AI outputs, and planning integration with existing systems.

How is using generative AI for supply chain optimization different from traditional supply chain planning?

Traditional supply chain planning often relies on fixed rules, static assumptions, or judgment-based estimates, while this approach uses AI to generate more adaptable predictions and recommendations from data patterns. In the course, the distinction is not that AI replaces planners, but that it adds a more dynamic layer to planning that still needs human oversight.

Do you need any prerequisites before learning this generative AI approach?

A basic understanding of supply chain principles, terminology, and general business operations is helpful before you start. Because the course is beginner level, the main requirement is being able to follow supply chain problems and think through how AI could be applied to them.

What tools, platforms, or methods are used in this course?

The course uses generative AI tools with supply chain data and examples drawn from planning, inventory, and logistics work. The main methods are prompt-based analysis and validation of AI-generated recommendations before they are considered for use in existing systems.

What specific tasks will you practice or complete in this course?

You practice identifying suitable supply chain use cases, using AI to support forecasting, inventory, and logistics decisions, and checking and refining AI-generated outputs. You also assess readiness for adoption, outline pilot plans, and consider responsible use in supply chain settings.

GenAI for Supply Chain Optimization

Instructors: Mustafa Bayulgen

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2 modules

Gain insight into a topic and learn the fundamentals.

16 reviews

Beginner level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

16 reviews

Beginner level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Identify Generative AI and its key applications within supply chain management, its impact on operational efficiency and decision-making processes.
Evaluate common Generative AI techniques and methodologies used in supply chain optimization.
Describe how Generative AI integrates with existing supply chain technologies.
Assess current advancements and innovations in Generative AI technology and their implications for the future of supply chain management.

Skills you'll gain

Tools you'll learn

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Assessments

3 assignments¹

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Taught in English

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There are 2 modules in this course

In this course, you’ll explore how Generative AI is reshaping supply chain management, from optimizing inventory and forecasting demand to enhancing logistics. With practical insights and real-world case studies, this course provides a comprehensive overview of AI applications in the supply chain, helping you stay ahead in an industry rapidly adopting advanced technologies. By the end, you’ll understand how Generative AI can solve key supply chain challenges, preparing you to apply these innovations in your own work.

This course is ideal for logistics and supply chain professionals, operations managers, warehouse and transportation experts, production planners, and students of supply chain management. If you’re looking to leverage AI for improved efficiency and decision-making, this course offers the foundational knowledge you need. A basic understanding of supply chain management principles and terminology will be helpful, as well as familiarity with general business operations. Most importantly, bring a strong interest in emerging technologies and a curiosity about how AI can transform supply chain processes. By the end of this course, you will be able to identify and apply Generative AI techniques to optimize supply chain operations. You’ll evaluate common AI methods in demand forecasting and inventory management, understand how AI integrates with existing technologies, and gain insights into future trends and ethical considerations in AI-powered supply chain management.

Module details

This module introduces learners to the fundamentals of Generative AI and how it is revolutionizing supply chain management. You’ll explore essential AI concepts, understand the connection between Generative AI and core supply chain operations, and analyze real-world applications through detailed case studies. By the end of this module, learners will be able to define key supply chain challenges, explain where Generative AI fits within those processes, and apply foundational techniques to optimize planning, forecasting, and inventory management.

What's included

7 videos3 readings2 assignments

7 videosTotal 39 minutes

Introduction to the Course & Meet Your Instructor3 minutes
Defining Supply Chain Management and Generative AI6 minutes
Common Challenges in Supply Chain Management5 minutes
The Role of Generative AI in Solving Supply Chain Management Problems7 minutes
Inventory Optimization with Gen AI Case Study – Part 16 minutes
Inventory Management and Optimization with Gen AI Case Study – Part 25 minutes
Inventory Management and Optimization with Gen AI Case Study – Part 37 minutes

3 readingsTotal 15 minutes

Welcome to the Course: Course Overview5 minutes
Generative AI Beyond: How It Works and Real Use Cases5 minutes
AI-Powered Inventory Control by Amazon5 minutes

2 assignmentsTotal 60 minutes

Understanding Supply Chain Management and Generative AI30 minutes
Inventory Optimization with Generative AI 30 minutes

Building upon the foundational skills from Module 1, this module focuses on how to implement, scale, and govern Generative AI solutions across existing supply chain systems. Learners will evaluate readiness for AI adoption, design integration roadmaps, and explore strategies to overcome implementation challenges. The module concludes with an examination of future trends, responsible AI practices, and ethical considerations in global supply chain contexts. By the end, learners will be prepared to lead AI transformation initiatives with a strategic and ethical mindset.