Nikki Gaboff

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…

Special Guest Blog Post from Amazon Freight   For supply chains across the globe, goods in motion are promises in motion. When a palletised shipment is delayed or goes dark, the impact is felt not just in transport teams, but in customer service, inventory planning, and broader network performance. In a conversation, economist Dr. Rebecca Harding and Chris Roe, Managing Director of Amazon Freight, explored how technology and collaboration are changing the way freight networks operate. While their primary focus was freight, their insights map directly onto the resilience challenges supply chain leaders face every day.   Old pressures, new data In a study supported by Amazon Freight, every shipper surveyed agreed that technology is crucial to the freight industry’s resilience. While this isn’t a surprise, it’s an important reminder of the role that technology plays. Roe shared a key example where Amazon Freight connected a customer’s system to its own system. Visibility on the end-to-end movement went from essentially zero to a high level of coverage. Instead of discovering problems only when a shipment failed to arrive, the customer could now see disruptions as they emerged and act earlier. For supply chain teams, that move from partial, delayed information…