Alfonso Hernández

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…

written by Chris Cunnane with InterSystems   Automotive manufacturers have invested billions in digital transformation over the past two decades, achieving meaningful gains in production efficiency. Yet one area has stubbornly lagged behind: warranty cost performance. Despite advances aligned with Industry 4.0, warranty costs as a percentage of revenue have remained largely unchanged. This disconnect highlights a critical truth that while production has evolved, warranty operations have not kept pace. At the heart of the issue is a fundamental inefficiency: time. Specifically, the lag between when a warranty claim is submitted and when meaningful problem-solving begins. This delay not only drives up operational costs but also impacts customer satisfaction and brand perception.   The Hidden Complexity of Warranty Claims Warranty management is more than a back-office function. It is a complex, data-driven process involving multiple stakeholders, systems, and validation steps. Each claim requires verification of warranty coverage, assessment of the issue, and coordination across service providers, suppliers, and internal teams. Much of this process remains manual. Organizations often rely on fragmented systems, inconsistent data formats, and time-intensive validation steps such as reviewing receipts, maintenance records, and warranty agreements. These inefficiencies introduce delays that can stretch into weeks before root cause…