Adili Kea

As customization and volume surged, FabFitFun partnered with EasyPost Enterprise and MagicLogic to eliminate waste, reduce costs, and scale shipping with confidence. As FabFitFun evolved from curated to fully customizable subscription boxes, shipping complexity—and cost—rose quickly. Larger cartons, mixed ecommerce orders, and reliance on a single carrier network made it difficult to scale efficiently without sacrificing margins or speed. By implementing intelligent cartonization through MagicLogic and multi-carrier rate shopping via EasyPost Enterprise, FabFitFun transformed its fulfillment operation—cutting waste, improving resilience, and unlocking multimillion-dollar savings in record time. What You’ll Learn in This Case Study How FabFitFun eliminated 80% of overboxing through right-sized packaging How multi-carrier rate shopping drove millions in quarterly shipping savings Why cartonization delivered ROI in less than one week How enterprise shippers can reduce costs without slowing down growth This case study shows how enterprise brands can turn shipping from a cost center into a competitive advantage—delivering immediate financial impact, operational efficiency, and long-term scalability. Download the case study to see how FabFitFun did it—and what’s possible for your operation. DOWNLOAD NOW

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…