This Week in Supply Chain Now: May 9th-15th

Supply chain technology is a hot commodity. Venture capital investments in supply chain tech and technology-based logistics companies have totaled an estimated $15.4 billion in 2024, and more than 150 supply chain startups have been acquired in the last two years as logistics companies work to leverage cutting-edge technology to improve their services. According to a Kearney report, the biggest capital infusions have been in delivery technology, warehouse automation, and supply chain digitization and artificial intelligence (AI), and the investments are paying off. “Quite simply, the more you invest, the better you get at monetizing breakthrough innovation.” Freight brokerages, in particular, are looking to technology to help set them apart – or stay in business. Brush Pass Research reported there are 17.5% fewer active freight brokerages today than there were two years ago. Three Supply Chain Startups to Know StartUs Insights identified the top nine supply chain innovations and trends for 2025: AI Internet of Things (IoT) Flexible supply chains Big data and analytics Robotics Supply chain sustainability Supply chain traceability Last-mile delivery Cybersecurity   “The supply chain has several variables that hinder its efficiency, including globalization, government regulations, pandemics, international transportation costs, increasing competition, and more,” StartUs said of…

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…