Alex Haines

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…

Zebra Robotics Automation is revitalizing AMR-assisted picking to optimize fulfillment efficiency and productivity with up to 30% fewer robots need in comparison to legacy systems. Their innovative approach can help significantly lower your cost per unit by combining workers and robots into a streamlined partnership that increases throughput without sacrificing performance rates, accuracy or reliability. Maximize AMR-assisted picking efficiency with Zebra’s three-fold strategy: Balanced Utilization: Use low-cost carts for buffering instead of extra robots or labor, reducing costs. Increased Capacity: Carts boost pick density and eliminate AMR wait times, handling 150-300% more items while cutting robot needs by up to 30%. Optimized Workflows: Seamless coordination ensures every picker and robot stays productive—no idle time, no wasted effort.   Download the “Unlocking Fulfillment Potential” eBook here to learn more