Erik Green

Supply chain technology is a hot commodity. Venture capital investments in supply chain tech and technology-based logistics companies have totaled an estimated $15.4 billion in 2024, and more than 150 supply chain startups have been acquired in the last two years as logistics companies work to leverage cutting-edge technology to improve their services. According to a Kearney report, the biggest capital infusions have been in delivery technology, warehouse automation, and supply chain digitization and artificial intelligence (AI), and the investments are paying off. “Quite simply, the more you invest, the better you get at monetizing breakthrough innovation.” Freight brokerages, in particular, are looking to technology to help set them apart – or stay in business. Brush Pass Research reported there are 17.5% fewer active freight brokerages today than there were two years ago. Three Supply Chain Startups to Know StartUs Insights identified the top nine supply chain innovations and trends for 2025: AI Internet of Things (IoT) Flexible supply chains Big data and analytics Robotics Supply chain sustainability Supply chain traceability Last-mile delivery Cybersecurity   “The supply chain has several variables that hinder its efficiency, including globalization, government regulations, pandemics, international transportation costs, increasing competition, and more,” StartUs said of…

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…