Ron Shepherd

In a world of constant digital noise, marketing leaders need more than impressions—they need attention, trust, and measurable results. Supply chain podcasts have emerged as one of the most effective ways to achieve that, offering a platform to extend your reach to hard-to-access decision-makers, build authentic thought leadership, drive demand and generate qualified leads, and strengthen both brand recognition and visibility. Inside This White Paper, You’ll Learn: Why 80% of podcast listeners take action after hearing an ad—and how to leverage that to drive pipeline. How to usestorytelling to humanize your brandand create lasting audience loyalty. Proven ways podcasts canelevate brand awareness, support sales enablement, and accelerate deal cycles. Four key stepsto producing standout podcasts that deliver measurable ROI. Real-world success storiesfrom leading brands like Mattel, Colgate-Palmolive, Georgia-Pacific, and more. DOWNLOAD NOW

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…