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AI in Supply Chain Forecasting and Risk Management
Coursera Instructor Network

AI in Supply Chain Forecasting and Risk Management

Mustafa Bayulgen
Starweaver Instructor Team

Instructors: Mustafa Bayulgen

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 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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Recently updated!

May 2025

Assessments

1 assignment

Taught in English

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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.

What's included

14 videos5 readings1 assignment4 peer reviews2 discussion prompts

Instructors

Mustafa Bayulgen
5 Courses6,039 learners

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