Logistics is in a state of transition, and no link in the supply chain is more in flux than the last mile (when goods reach stores or customers). The impatient demands of consumers and the pressure of the modern sharing economy (as emblemized by Uber and Airbnb) require companies to be more agile than ever. To compete at this new level, companies are increasingly making decisions in real time—adjusting to changes as they happen, while looking for ways to predict changes in advance.

Now, companies are using machine learning models to try to stay ahead of consumer demand without sacrificing efficiency. In this webinar, MIT SDM fellow Ali Kamil, cofounder and head of product and technology at Wise Systems, will discuss:

traditional logistics methods and why they are becoming obsolete;
dynamic decision-making models driven by operations research and machine learning;
examples of companies that are taking advantage of intelligent software; and
the exciting future of last-mile delivery (e.g., autonomous vehicles and connected everything).


About the Speaker

Ali Kamil is a cofounder of Wise Systems, where he serves as head of product and technology. His expertise is in employing big data, social computing, and system dynamics–based models to identify patterns of human behavior, connectivity, and urban mobility. He holds a bachelor’s degree in computer science and economics from the Georgia Institute of Technology and, as an MIT SDM fellow, will receive a master’s degree in engineering and management from MIT.

Slides can be found here:
[ Ссылка ]

свернуть