Robert (Bob) J. Merlo

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

Supply chains are more volatile and interconnected than ever, but many planning processes still rely on disconnected systems, manual analysis, and spreadsheet-based interventions. This white paper explores how network optimization, supported by advances in optimization technology, workflow design, cloud computing, and AI, can help planning teams evaluate cross-functional trade-offs, respond faster to change, and move from static plans to continuous, decision-driven supply chain planning. Inside the White Paper: – Why traditional planning systems and network optimization evolved separately, and why that separation limits decision quality in today’s supply chains. – How network optimization helps evaluate cross-functional trade-offs across sourcing, production, inventory, transportation, fulfillment, service, cost, and capacity. – Why continuous network optimization is different from one-time strategic modeling, and how it can support recurring tactical and operational planning decisions. – How AI and configurable workflows can make optimization more usable for planners without requiring them to become modeling experts. – How planning systems and network optimization can work together in a feedback loop that improves decisions over time. Click here to download