Zack Rutland

Most organizations talk about visibility—but few truly achieve it. Are you one of them? In today’s fast-paced, disruption-prone environment, having real-time visibility across your supply chain isn’t a luxury—it’s a necessity. Yet, fewer than 10% of companies surveyed can say they have end-to-end insight into their supply chain operations. So what’s standing in the way? And more importantly—how do you overcome it? “Understanding the Foundation of Visibility” is the first whitepaper in a powerful new series by NCS Partners, designed to help supply chain leaders break down silos, align teams, and turn fragmented data into actionable insight. Download this white paper to learn how to: Identify the five most impactful focus areas for building end-to-end visibility Align leadership and secure cross-functional buy-in to drive transformation Build a clear vision and roadmap to avoid common visibility pitfalls Integrate distributed data sources to enable real-time, actionable insight Promote continuous improvement and communication across teams   Whether you’re just beginning your visbility journey or ready to refine your approach, this foundational guide offers expert-backed strategies used by top-performing organizations.   Download the “Understanding the Foundation of Visbility” white paper here to learn more  

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…