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.



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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
- Logistics
- Business Ethics
- Transportation, Supply Chain, and Logistics
- Demand Planning
- Automation
- Supply Chain Management
- Supply Chain Planning
- Forecasting
- Emerging Technologies
- Generative AI
- Business Process Automation
- Artificial Intelligence
- Inventory Management System
- Predictive Analytics
- Operational Efficiency
- Operational Analysis
Details to know

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There is 1 module 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
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