Brian Arrington

Your TMS and ERP aren’t enough. Despite billions spent on supply chain tech, most teams still run on PDFs, spreadsheets, and email threads—creating manual chaos that slows everything down. This eye-opening white paper reveals how top supply chain teams are using an invisible layer of AI to streamline operations—no dashboards, no extra headcount, no noise.   Download now to learn how to eliminate manual bottlenecks and give logistics teams their time—and sanity—back. Uncover the hidden gems – Manual workflows waste hours and create delays. Learn how to fix it fast. See real results – Cut shipment intake from 30 minutes to 10 seconds, without new tools or extra headcount. Discover smart automation – Learn how to turn messy emails and PDFs into structured data that flows seamlessly into your systems.   Ditch manual chaos and see how an ambient back office that never sleeps can save your team thousands of hours, eliminate costly errors, and unlock the true potential of your supply chain.   Download the 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…