Digital Twins Revolutionizing Logistics (2/3/26)

Ellie Thornton

Alright Steve, I’m so excited for this one! Digital twins—they sound super sci-fi, but they’re everywhere now. For anyone listening who’s going, “Wait, digital what now?”—it’s basically a dynamic, real-time virtual version of something that exists in the real world, right? Like a warehouse, a jet engine, a city, whatever. These twins aren’t just a 3D model, they’re continuously updated by live data, so you can simulate, monitor, and optimize without taking risks on the real thing.

Steve DeNunzio

Yeah, and I mean, what blows my mind is these things aren’t actually that new. We always talk about Industry 4.0 and IoT as the big drivers for this stuff, but go back to NASA—right? The earliest practical digital twin? Say, Apollo 13—those simulators that Houston used to troubleshoot that oxygen tank failure? That’s a digital twin in action, way before we had the fancy name. They built those virtual copies so they could troubleshoot and literally save lives. Now, we’re doing something similar to save money—and maybe a few headaches—in warehouses and factories.

Ellie Thornton

Yeah, and it’s wild how that NASA stuff was about survival, and now it’s about… well, efficiency. But proper digital twins today aren’t just mirror images. They’re living things—they’ve got three parts: the real-world object, the virtual counterpart, and then that constant stream of data connecting them, so what happens to one updates the other. That’s—uh, what’s the word—they call it the “digital thread,” I think?

Steve DeNunzio

That’s right—the digital thread. And, you know, you see that separation between something that’s just a static digital model and a real digital twin. The twin gets real-time feedback: sensors, data feeds, analytics—the whole bit. That lets you run “what if” simulations, test different scenarios, optimize processes. If you’re running a factory, it means you can spot a bottleneck or a failure before it even happens. If you’re running a city, maybe you can see how a new bus route’s gonna affect traffic before cement’s even poured. As we talked about in a previous episode on city logistics, it’s about getting ahead of the curve.

Ellie Thornton

And it’s totally not just production lines and spaceships anymore, is it? There’s digital twins for things like predictive maintenance in hospitals or population-scale urban planning. It’s absolutely bonkers—the range. Oh, and sometimes it’s not even a 3D model, but just a bunch of data that acts as the “twin.” That trips me up every time—not everything has to look pretty for it to work, right?

Steve DeNunzio

Absolutely. Sometimes all you need is a data-driven representation with a live feedback loop. The visualization part looks nice, but the power is in the ongoing data flow. Digital twins aren’t just showing you what’s happening—they’re helping you understand why it’s happening, simulate what might happen next, and guide your decisions. That shift—from “observe and react” to “anticipate and optimize”—that’s the big revolution here.

Ellie Thornton

Bit like going from being the firefighter to the firefighter and the fortune teller and a little—maybe the accountant, too. Alright, so Steve, you ready to dive into where these digital twins are actually making a difference on the ground?

Steve DeNunzio

Yeah, let’s get into it. So in warehousing, digital twins are the answer to what’s been a decades-long headache: visibility. For a long time, inventory was all about periodic checks, lots of walking around with clipboards, doing manual counts—stuff that was almost always out of date as soon as you finished, right? But with digital twins—like in that DexoryView platform—they automate all that. Sensors and autonomous robots are constantly gathering data, feeding it into a live, interactive map of the warehouse. So, managers and teams have a single, reliable view of what’s really happening. No second guessing if stock’s where it’s supposed to be or not.

Ellie Thornton

Honestly, I wish we’d had that when I was in retail logistics in London. I remember these moments where a shipment would go missing—or the system told us a product was in aisle D7 but, surprise, it was nowhere to be found. Customers waiting, my team running around…it was chaos! Stock reports would get printed on a Friday and by Monday, it was old news. With digital twins, you get just-in-time intelligence—not “last week’s maybe.”

Steve DeNunzio

Yeah, warehouses using DexoryView are having these incredible turnarounds: not only faster decision-making and improved efficiency but actual ROI. Some are seeing over 200 percent return in less than six months because they’re not wasting labor on manual counts, and they catch problems before they snowball. And by the way, it’s not about replacing staff—it’s eliminating the repetitive stuff, so people can focus on the real value-add work, like improving layout or planning operations instead of hunting pallets.

Ellie Thornton

Love that. Let’s talk automotive—a completely different beast, but same philosophy. At ZF, for instance, they’re revolutionizing vehicle development using digital twins. It’s all shifted from building loads of physical prototypes to developing and testing virtually—so, rather than wait for hardware, engineers use virtual control units, those vECUs, to work out the kinks in the software before the real part even exists.

Steve DeNunzio

Yeah, and that’s huge for a couple reasons. First, it chops down development cycles because, instead of waiting for a part to be built, you run tests and validate designs digitally. If there’s an error, you catch it before a single bolt’s turned. This is also true for the entire value chain—right from the quotation phase, where ZF can check feasibility with digital models, to the design phase, to validation, where they blend virtual tests with old-school physical testing in what they call a “hybrid release.” And AI even starts to suggest better ways to test or optimize the designs. I mean, that’s not just efficiency. That’s a competitive advantage—cost savings, better products, faster to market. So this sort of DevOps loop, continuous improvement, integration, and feedback. That’s what lets these companies stay agile—super important, like we said in our trends episode on 2026 supply chains.

Ellie Thornton

And before anyone thinks this is only possible for massive automakers or top-tier warehouses, it is spreading. I’ve seen energy, healthcare, even urban development teams using digital twins for similar gains. But you know, it all comes back to this—a living system, never static. The moment your data stops flowing, you just have a fancy digital snapshot. And, honestly, at that point, might as well just frame it and hang it up, right?

Ellie Thornton

Alright, now here’s one for the forward-thinkers—customer digital twins. I mean, as a retailer, this is proper Black Mirror stuff: brands creating these data-driven, AI-powered virtual versions of customer segments. These aren’t just fake emails or loyalty cards—these are digital personas or groups that help companies simulate your journey, predict if you’ll leave, or figure out what kind of offer might tempt you to stay. Particularly big in retail and hospitality, places awash in data, but it’s definitely not all plain sailing.

Steve DeNunzio

Right. The big selling point is you can run simulations much faster than using traditional surveys or focus groups—virtual A/B testing on prices or features, anticipating churn, all that. But experts are pretty clear—there’s no “silver bullet.” If the data quality’s bad or governance is sloppy, you just end up amplifying the wrong signal. And honestly, you can’t toss out all your old-school research. Digital twins are great for modeling segments with enough data, but go too granular—try to make a million separate twins for a million customers? That’s just burning budget for nothing.

Ellie Thornton

Yeah, and the privacy piece makes it even messier, especially in finance or anywhere with sensitive data. People are understandably freaked out about their personal info being used to make decisions they don’t even see. Plus, over-customizing could mean you spend tons chasing one person’s supposed preferences when, really, you’re better off looking at reliable segments. As one expert put it, “crawl, walk, run”—don’t abandon what works, just because AI twins are the hot thing. I wonder—Steve would you ever want a digital twin of yourself? Imagine a little virtual professor, wandering around campus, optimizing lectures and all that!

Steve DeNunzio

Oh, I’m—I’m not sure the world’s ready for a digital Steve. He couldn't match my Dad jokes, I’ll tell you that much. But seriously, organizations want to jump in headfirst, but it’s about trust, robust governance, matching the tech to the actual need. You need good metadata, generated data, analytical frameworks—all tied together, and then you test, adjust, and build confidence before scaling. You might get a lot of value by thinking about “people twins” at the group level, rather than obsessing over every single individual.

Ellie Thornton

So, to sum it up, digital twins—whether it’s an engine, a warehouse, or a customer journey—they let us understand before we intervene and simulate before we decide. But you still need people in the loop, you need good data, and you need to stay realistic. It’s exciting, but, not a magic wand, eh?

Steve DeNunzio

Yeah, it’s no magic wand, but it’s a serious tool for the future. And just like we’ve seen in last week’s discussion of AI in supply chains, these technologies are as much about how we manage risk and build confidence as how we chase efficiency. Alright Ellie, any closing thoughts before we digitally sign off?

Ellie Thornton

I’d say, if you’re curious about digital twins, start small—whether it’s in the warehouse, on the shop floor, or even looking at customers. Don’t get overwhelmed by the buzzwords. Just focus on connecting the dots—physically and digitally! Steve always a pleasure nerding out with you.

Steve DeNunzio

Right back at you Ellie. Thanks for listening, folks—we’ll be back soon with more supply chain stories and behind-the-scenes magic. Cheers Ellie.

Ellie Thornton

Cheers Steve. Bye, everyone!