There is a growing demand for more resilient supply chain systems with improved visibility and connectivity. Artificial intelligence (AI), machine learning (ML), and data analytics have emerged as innovative solutions to address challenges and mitigate risks.

AI-powered solutions have the potential to enhance the entire supply chain process by proactively identifying issues and providing solutions to manage disruption. They can also optimize operations through smart automation, offering valuable insights and visibility to support effective decision-making and planning.

The applications of AI and ML are diverse and there are various effective ways to implement them.

We hosted a Fireside Chat discussion on automation and machine learning in supply chain processes.

We'll explore topics such as:
- The role of generative AI in automating supply chain systems
- The impact of advances in demand and supply forecasting on short- and long-term inventory planning
- Strategies for experienced logistics and supply chain management professionals to stay current with new technology
- Preparing early-career professionals to stand out in the job market
- The advantages and pitfalls in early adaption
- Understanding how large language models will influence workflows

Hear from:
Amelia Regan, Director & Professor, UW Master of Supply Chain Transportation & Logistics degree program
Dan Stull, Instructor, UW Master of Supply Chain Transportation & Logistics degree program
Fabio Ferraretto, CEO, DHAUZ