This Week on Supply Chain Now- July 11th-17th

As the supply chain industry continues to face profound transformation, staying updated on the latest trends, innovations, and best practices in the space is crucial. With over 464 million podcast listeners worldwide, podcasts have become an invaluable resource for professionals seeking insights and inspiration. The wonderful world of the web means you can find a podcast in any niche, but how do you separate the wheat from the chaff when it comes to quality supply chain podcasts? To help you get there, we’ve curated a round-up of the top ten must-listen supply chain podcasts that will keep you informed and entertained. 1. Supply Chain Now Where to Listen: https://supplychainnow.com/program/supply-chain-now/ Hosts: Scott Luton and various industry experts. Best for: The go-to resource for insights into global supply chain performance. Featured in the Apple Podcasts business leadership charts in over 60 countries, Supply Chain Now is a renowned podcast for its extensive coverage of supply chain topics, including insights from industry leaders and experts. Hosted by Scott Luton and his team of industry-veteran co-hosts from brands like Amazon, P&G, and Nordstrom, the podcast delves into everything from logistics and transportation to technology and innovation. With a history of high-quality content and engaging…

Prospects of supply chain automation have the industry abuzz. It’s even become a major sticking point in the International Longshoremen’s Association contract negotiations with the United States Maritime Alliance. The dockworkers do not want ports to automate processes out of fear they will lose their jobs to machines. Today, there are seemingly endless possibilities for optimization. Terms like generative artificial intelligence and machine learning have become commonplace in discussions about ways to gain efficiencies and reduce costs. Can man and machine work together as businesses leverage automation for optimization? Beyond the Buzz: Understanding the Automation Imperative Machine learning, a subset of artificial intelligence (AI), is described by Business News Daily as a later-stage development in which machines take in data on their own and then analyze it. Automation, on the other hand, is fixed on repetitive tasks; after a job is performed, an automation system “thinks no further.” The Business News Daily article explained that “automation involves an entire category of technologies that provide activity or work without human involvement,” while AI involves “a machine exhibiting and practicing something similar to what we describe as human thinking – that is, the ability to interact in thousands of ways with the…