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.
GenAI for Supply Chain Optimization
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Gain insight into a topic and learn the fundamentals.
4.7
(11 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
- Business Ethics
- Business Process Automation
- Operational Analysis
- Transportation, Supply Chain, and Logistics
- Logistics
- Generative AI
- Inventory Management System
- Artificial Intelligence
- Emerging Technologies
- Operational Efficiency
- Predictive Analytics
- Demand Planning
- Automation
- Forecasting
- Supply Chain Management
- Supply Chain Planning
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
See how employees at top companies are mastering in-demand skills
There are 2 modules in this course
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 assignments1 plugin
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.
What's included
7 videos2 readings1 assignment1 peer review
Offered by
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