William O’Donnell

Scope 3 emissions reportedly account for more than 70% of businesses’ carbon footprints. That huge percentage gives an indication of just how critical supply chain sustainability efforts are to the planet. Thankfully, a growing number of eco-friendly innovations are helping reshape global supply chains. Supply Chain Sustainability: An Industry Imperative in a Changing World It is becoming increasingly important for companies to accurately calculate their supply chain emissions and create an information-sharing ecosystem, according to Matthew Gardner, co-founder and managing partner of Sustainserv, a consulting firm that helps businesses implement sustainability strategies. Gardner said accounting for supply chain-related greenhouse gas emissions includes such challenges as: Data gathering of “materials, manufacturing processes, activities of second- and third-tier suppliers, and overall data governance and quality.” Calculation methodology that “reflects the realities of raw material sourcing, product manufacturing, transportation and distribution, and other life-cycle impacts that may affect reported greenhouse gas totals.” Supplier relationships, which can be strained as a result of emissions assessments. Businesses also need to keep in mind their relationships with consumers. PDI Technologies said 80% of U.S. consumers it surveyed were willing to pay more for sustainable products. “Between these statistics and the regulatory conversations that are happening in…

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…