We’re proud to celebrate another industry recognition for Scott Luton — he has been named one of the ISCEA Top 10 Supply Chain Influencers.
Category Archives: Supply Chain Now
Automation That Adapts: Romain Moulin of Exotec on Building Warehouses for an Uncertain Future
At Manifest 2026, Scott Luton spoke with Romain Moulin, CEO and co-founder of Exotec, to discuss how warehouse automation is evolving in an era defined by volatility.
Building for Uncertainty: Stefan Groschupf on Reimagining Supply Chain AI at Manifest 2026
At Manifest 2026 in Las Vegas, Scott Luton sat down with Stefan Groschupf, CEO & Founder of Centrum AI, to discuss how a new generation of technology is being purpose-built for today’s supply chain realities, rather than yesterday’s assumptions.
Collaboration That Actually Pays Off
Collaboration is one of the most overused (and misunderstood) words in both modern supply chain and construction management. Everyone claims to value it. Few organizations design their operating models to make it work.
Accelerating Decision Velocity: Why the Future Belongs to Faster, Smarter Supply Chain Decisions
Here is a diagnostic question I use with supply chain leaders: when disruption hits, do your teams spend most of their time debating the data, debating the scenarios, debating the plan, or debating the decision? Or all of the above?
2026 Is the Year of No Excuses: Why Calmer Conditions Could Expose (and Reward) True Commercial Leadership
In a recent conversation, Scott Luton spoke with Mark Gilham, Vice President & Head of Global Advisory at Enable, about what supply chain and commercial leaders should expect from the year ahead. While many annual outlooks attempt to forecast the next major disruption, Gilham offered a different lens: 2026 may become the “year of no excuses.”
How Freight Visibility is Reshaping Supply Chain Resilience
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.
The Value of a Data-Driven Approach to Demand Sensing and Forecasting
Demand sensing and demand forecasting are both crucial aspects of optimizing supply chains, but they do have slightly different functions in their approach and focus. Demand sensing uses real-time data and analytics to identify and respond to immediate demand fluctuations, while demand forecasting uses historical data to predict future demand over a longer period (months or years). Different methods, such as statistical modeling and machine learning, are used to enhance the accuracy and adaptability of these processes. Both areas are crucial for companies when it comes to projecting sales, managing inventory, and coordinating replenishment. In the end, the goal is to accurately predict customer demand by using predictive models to forecast future demand.
First Edition: Between the Lines by Supply Chain Now
At Supply Chain Now, we talk a lot about innovation, resilience, and what’s next for our industry. But behind every great conversation, great idea, and great community is something even more fundamental: curiosity. We read because we’re curious. We read to learn. We read to grow. And sometimes, we read simply because it’s fun! That’s why we created Between the Lines by Supply Chain Now, a space for our community to share what we’re reading, what’s making us think, and what we’re excited to recommend to others.
Constant Supply Chain Disruption Promises to Keep Logistics Entertaining, Exciting, & Challenging
I was recently invited to speak with students in the Supply Chain and Logistics Organization at Georgia Tech, and it reminded me why I still find this industry so energizing.
Why Can’t America Train Workers for a Trillion-Dollar Industry?
Inside the reverse logistics education gap and the economic blind spot keeping it invisible
Tony Sciarrotta has been asking the same question at industry conferences for years. As the Senior Director of Circularity and Reverse Logistics at the National Retail Federation, he knows what answer he’s going to get. But he keeps asking anyway.
AI in Global Trade Compliance: What Works Now, What’s Next, and How to Govern It
AI is no longer an experiment in global trade compliance. It’s already being applied in product classification, document-to-declaration workflows, risk targeting, and sanctions screening. At the same time, regulators and customs authorities are adopting AI themselves. This is raising expectations for data quality, transparency, and governance across the entire trade ecosystem.