John DeYoung

At MODEX 2026 in Atlanta, Scott Luton sat down with RD Deshmukh, Chief R&D Officer at ID Logistics US, to explore how supply chains must evolve to keep pace with a rapidly shifting retail and e-commerce landscape. From AI deployment to warehouse design and customer expectations, RD offers a clear message: the old playbook no longer applies; and those who fail to adapt risk falling behind quickly.   A “Day-One” Mindset for Continuous Change Drawing from his experience at Amazon, RD emphasizes the importance of maintaining a “DayOne” mindset, which is one rooted in curiosity, adaptability, and constant reinvention. “Be curious, be innovative… the day you’re not curious, it will kill you,” he explains. In today’s environment, where disruption is constant, this mindset isn’t optional. It’s essential. Leaders must prepare their teams not just to respond to change, but to expect it. As RD puts it, the only certainty is that “tomorrow is going to change.” This philosophy underpins how ID Logistics approaches innovation, engineering, and customer solutions; always with an eye toward flexibility and resilience.   AI: Start with the Problem, Not the Technology While artificial intelligence continues to dominate industry conversations, RD cautions against rushing into implementation without…

Last month, we launched Between the Lines, our Supply Chain Now book club, with a simple idea: the best leaders don’t just consume headlines, they read deeply, think critically, and stay curious. The response to our first edition reminded us how powerful shared learning can be! This month, we’re building on that momentum with fresh selections designed to challenge perspectives, spark new ideas, and strengthen the way we think, innovate, and navigate an ever-evolving global landscape.   Check out a few of the selections the Supply Chain Now team recommends from February 2026:   Scott Luton: The 2028 Global Intelligence Crisis from Citrini Research Imagine a short-term future where the very technology we hail as humanity’s next great productivity engine becomes essentially the source of a global economic crisis. “The 2028 Global Intelligence Crisis” from Citrini Research is a thought experiment that projects just such a scenario: by 2028, rapid and widespread AI adoption has supercharged productivity yet hollowed out the consumer economy, driving unemployment above 10% and triggering a deep market downturn as traditional spending collapses despite booming output. In this speculative, but unsettling, framework, AI doesn’t fail, it succeeds so overwhelmingly that the economy it was meant to…