Matt Harding | Data Data Everywhere

06/29/23 • 54 min

This week’s guest is Matt Harding, Head of 4PL Data and Analytics at UberFreight. With over 25 years in the industry at logistics.com, Chainalytics, Transplace, and now UberFreight, Matt is a leading light in applying analytics and visualization to the transportation industry. In our conversation, we trace the evolution of data science in trucking, discuss the understanding gap between the C-suite and transportation executives, debate the impact that the wide availability of market data has had on drivers, carriers, and the industry as a whole, and talk about the challenges and hurdles of introducing change - especially data driven - within an organization.

Previous Episode

Jason Miller | State of the Market Post-Pandemic

This week’s guest is Dr. Jason Miller, Professor and Head of the Supply Chain Management Department at the Michigan State University's Eli Broad College of Business. As an economist working in the logistics and freight transportation industry, Jason always has great and often unexpected insights into the transportation market and overall conditions. In our conversation we discuss the current macro-economic conditions, debate the impact of more rate data on the volatility of the TL market, and make some guesses as to when the TL market will revert.

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The Magic Conveyor Belt

This week’s guest is Professor Yossi Sheffi, Director of MIT’s Center for Transportation & Logistics and author of the recent book, The Magic Conveyor Belt: Supply Chains, AI, and the Future of Work. Written mainly in response to the general public’s newly awakened awareness of and interest in supply chains during the pandemic, the book explains in great clarity how supply chains work, why they are complex, and where the challenges are. Additionally, he addresses and explores the impact of future trends including robotics, automation, shifting labor patterns, and the need for continuous education. The conversation touched upon the influence of the pandemic on supply chains, the impact of technology implementation on labor, and, of course, the challenges and opportunities that AI brings.