Stacey Schroeder

Retail margins rarely disappear all at once, they leak out quietly across transportation, inventory, and returns. As ecommerce grows and return rates rise, retailers are facing higher logistics costs, volatile freight spend, and inventory positioned in the wrong places at the wrong time. Many organizations still operate without true end-to-end visibility, making it difficult to control cost or respond proactively to disruption. This playbook shows how leading retailers are addressing total cost of ownership (TCO) as a strategic priority, not just an operational metric. Instead of massive transformation programs, it outlines practical actions that can uncover measurable savings in as little as 90 days through better purchase order control, improved visibility, and smarter network design. Why download this white paper: Identify where margin is leaking across transportation, inventory, and returns Understand the three most effective levers for reducing supply chain cost Learn how to reduce premium freight, improve utilization, and avoid markdowns See how real-time visibility improves planning and service levels Get a step-by-step 90-day pilot roadmap to validate savings Build a finance-ready business case for scalable TCO improvement By the end, you’ll have a clear framework to evaluate your current operations, prioritize improvements, and turn hidden supply chain inefficiencies…

Special Guest Blog Post written by Matt McKinney, Co-Founder and CEO of Loop   I spend most of my time with supply chain and innovation leaders at major enterprises who are sitting on significant AI budgets but struggling to show measurable business impact in an increasingly complex and volatile supply chain environment.   These conversations have evolved dramatically. A year ago, executives were asking basic questions about AI feasibility. Today, the questions have shifted to strategic implementation at enterprise scale.   Based on hundreds of these discussions, three questions consistently emerge that separate companies making transformational progress from those stuck in pilot purgatory.   How do we move from AI experiments to enterprise-scale impact?   Most organizations have yet to see organization-wide, bottom-line impact from AI use. This is the strategic challenge keeping C-suite leaders awake at night.   The problem isn’t the technology. It’s the application of the technology. Too many enterprises are trying to treat AI like a magic wand they can bolt onto existing systems. But garbage in, garbage out. If your underlying data is fragmented and inconsistent, AI won’t solve your problems; in fact they’ll get worse.   At its core, anything automated is powered by…