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URL: https://www.coursera.org/learn/ai-in-supply-chain-forecasting-and-risk-management

⇱ AI in Supply Chain Forecasting and Risk Management | Coursera


AI in Supply Chain Forecasting and Risk Management

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AI in Supply Chain Forecasting and Risk Management

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Gain insight into a topic and learn the fundamentals.
4.2

18 reviews

Beginner level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.2

18 reviews

Beginner level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

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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Assessments

1 assignmentΒΉ

AI Graded see disclaimer
Taught in English

There is 1 module in this course

In this course, you’ll 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, you’ll 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, you’ll 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, you’ll 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 – 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

Instructors

Instructor ratings
4.0 (6 ratings)
6 Coursesβ€’16,050 learners

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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.

Traditional supply chain planning depends more on manual analysis, standard system outputs, and longer brainstorming cycles. Here, AI is used to accelerate scenario exploration and idea generation, while human judgment still decides what to implement.

A basic understanding of supply chain management principles and business terminology is helpful before you start. No prior AI or data science experience is required, because the course is beginner level and focuses on practical application.

Learners work mainly with large language model tools, including ChatGPT, to structure prompts and generate planning support. Those tools are used for forecasting work and for planning tasks such as risk review and automation scenario design.

You'll practice framing supply chain questions for AI, producing demand forecasts, identifying and prioritizing risks, and outlining mitigation or automation plans. These tasks are used to build a repeatable way of working with AI in supply chain planning.

Financial aid available,

ΒΉ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.