AI in Supply Chain Forecasting and Risk Management
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AI in Supply Chain Forecasting and Risk Management
Instructors: Mustafa Bayulgen
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What you'll learn
Examine the integration of AI in supply chain management.
Explain fundamental demand forecasting methods and application of AI in solving forecasting problems in supply chain management.
Identify inherent risks in modern supply chains and their mitigation strategies by using AI as a thought partner.
Evaluate the emerging role of AI in supply chain automation and the utilization of AI for constructing process automation scenarios.
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There is 1 module in this course
In this course, youβll explore how artificial intelligence is reshaping supply chain management boosting efficiency, improving accuracy, and enhancing resilience. Through real-world examples, hands-on exercises, and engaging video lessons, youβll gain a practical understanding of how AI can optimize demand forecasting, support risk mitigation strategies, and drive automation within supply chain operations. Whether you're just beginning or already working in the field, this course is your gateway to staying competitive in a rapidly evolving landscape.
This course is designed for supply chain and logistics professionals, operations managers, demand planners, and supply chain students who are eager to learn how to integrate AI into their workflows. Whether you're new to AI or looking to apply it practically in your field, this course is tailored for both beginners and intermediate learners. To get the most out of this course, you should have a basic understanding of supply chain management principles and terminology, along with some familiarity with general business operations. No prior experience with AI or data science is necessary. By the end of this course, you will not only understand how AI is transforming supply chain management but also gain the practical skills to apply AI tools for demand forecasting, risk assessment, and automation. You'll be equipped to tackle real-world challenges with confidence, using AI as a powerful assistant to streamline operations, improve accuracy, and drive innovation. Whether you're enhancing existing workflows or preparing for a future role, this course will empower you to lead with insight and agility in the evolving world of supply chain management.
In this course, youβll explore how artificial intelligence is reshaping supply chain management boosting efficiency, improving accuracy, and enhancing resilience. Through real-world examples, hands-on exercises, and engaging video lessons, youβll gain a practical understanding of how AI can optimize demand forecasting, support risk mitigation strategies, and drive automation within supply chain operations. Whether you're just beginning or already working in the field, this course is your gateway to staying competitive in a rapidly evolving landscape.
What's included
14 videos5 readings1 assignment4 peer reviews2 discussion prompts
14 videosβ’Total 72 minutes
- Introduction and Welcome β’3 minutes
- Defining Supply Chain Management and AI β’7 minutes
- Common Challenges in Supply Chain Management β’6 minutes
- The Role of AI in Solving Supply Chain Problems & Areas for AI Utilization β’4 minutes
- Fundamental Demand Forecasting Methods - Independent Demandβ’7 minutes
- Fundamental Demand Forecasting Methods β Dependent demandβ’6 minutes
- Demonstrating Demand Forecasting by Using AI β’5 minutes
- Describing Common Supply Chain Risks β’6 minutes
- Using AI to Evaluate and Prioritize Supply Chain Risksβ’5 minutes
- Using AI to Identify and Support Supply Chain Risk Mitigation β’4 minutes
- Areas of Automation in Supply Chain Management β’5 minutes
- Designing an Automation Strategy Using AI β’5 minutes
- Exploring Future Trends in Incorporating AI into Supply Chain Management β’5 minutes
- Congratulations and Continuous Learning Journeyβ’2 minutes
5 readingsβ’Total 25 minutes
- Welcome to the Course: Course Overviewβ’5 minutes
- Solving supply chain management issues with AI and Big Data analytics for future operational efficiencyβ’5 minutes
- Predicting the Future Using AI for Demand Forecasting in E-Commerceβ’5 minutes
- How AI Is Transforming Supplier Risk Management in Retail & CPG β’5 minutes
- AI and Automation in the Supply Chain β’5 minutes
1 assignmentβ’Total 20 minutes
- AI in Supply Chain Forecasting and Risk Managementβ’20 minutes
4 peer reviewsβ’Total 90 minutes
- Hands-On-Learning: Using and comparing Excel and AI tools in demand forecastingβ’10 minutes
- Hands-On-Learning: Utilizing AI in mitigating supply chain risks. β’10 minutes
- Hands-On-Learning: Designing an automation strategy with the help of AI β’10 minutes
- Project: AI-Driven Demand Forecasting Challenge β’60 minutes
2 discussion promptsβ’Total 10 minutes
- AI Forecasting and the Bullwhip Effect in MRP Systemsβ’5 minutes
- AI in Supply Chains: Managing Disruption and Risk β’5 minutes
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Frequently asked questions
It means using AI to help analyze supply chain questions, generate planning options, and support decisions rather than relying only on manual methods. In this course, that approach is applied to forecasting demand, assessing risk, and thinking through automation opportunities.
You would use it when you need to explore likely demand patterns, assess possible disruptions, or sketch process improvements before acting. The course presents AI as a practical aid for recurring planning problems where speed and structured thinking matter.
It fits into the earlier and middle stages of supply chain work, when teams are defining a problem, testing scenarios, and comparing responses. The course shows AI supporting those planning steps before decisions are carried into regular operations.
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