Chris Cummings

Listen up! We’re kicking May off with some great conversations you won’t want to miss. Take a look back on the latest episodes, interviews, conversations, and livestreams from this week right here. On Monday, we released 3 new episodes! In this episode of Supply Chain Now, Scott welcomes JD Redmon back to the podcast for a frank conversation about accessing the marketing solutions you need, the trend towards diversity marketing and hiring, how to use your voice to achieve what you need, and so much more. On This Week in Business History, Scott Luton explores the genesis of The Clorox Company, from the early entrepreneurial struggles to their international expansion, innovation & growth. On Supply Chain Now en Espanol, Enrique Alvarez welcomed Alex Meza with RioRev Partners to the podcast to talk about growing up in Mexico and the United States, Alex’s professional experience, and trade between the two countries. On Tuesday, we released 2 new episodes! On this episode of TEKTOK Digital Supply Chain Podcast, powered by Supply Chain Now, host Karin Bursa welcomes Jason Tham with Nulogy to the podcast to tackle the question- is your supply chain agile or fragile? On TECHquila Sunrise, host Greg White dives…

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…