Generative AI For Logistics and Supply Chain Management

Today, supply chain executives face multiple challenges. First, inflation is hitting companies’ bottom line. It increases the cost of economic inputs-energy, labor, material, and transportation; it decreases consumer power and demand; and the high-interest rates, driven by the Federal Reserve’s attempt to control inflation, increase the cost of capital and hence the cost of inventory.

Second, supply chain disruptions are everywhere! From the U.S.-China trade war, the pandemic, extreme weather conditions such as hurricane Laura and winter storm Uri, all the way to the Suez Cannel blockage, fire in a semiconductor manufacturing facility in Japan, and the Ukraine-Russia war, all are affecting the global supply chains.

Finally, the global labor market shortage, driven in part by the pandemic, impacts every aspect of the supply chain, from manufacturing and transportation all the way to the ability to plan and innovate the entire business.

At the same time, a new technology, Generative AI, has emerged with the promise to change the way business is done in general and the supply chain in particular. In this course, we will demonstrate how Generative AI fundamentally changes the way decision-makers manage and operate complex supply chains. We will review not only the technology itself but also its application for revolutionizing demand forecasting, procurement, inventory management, supply chain collaboration, and pricing decisions. We provide real-world case studies that demonstrate the impact of the technology on supply chain and business performance. 

 

Benefits

  • You will learn advanced forecasting techniques to improve demand planning and inventory management

  • Gain the skills to make data-driven decisions, enhancing overall supply chain efficiency

  • Implement real-time monitoring and alert systems for proactive issue resolution

  • Optimize supply chain routes, distribution networks, and procurement strategies

  • Mitigate risks, reduce costs, and improve sustainability while enhancing the customer experience



Past Courses

Contact

Email

Han Li, Lab Manager

hanli048@mit.edu

MIT DSL Office

dsl-admin@mit.edu

Location

Massachusetts Institute of Technology, Cambridge, MA 02139-4307