is. And again, I think. We liked the idea so much early on. I mentioned earlier that we were naive, thinking that, boy, it's an even better idea than we can take credit for. We were pretty lucky in some things. Just as an example, we never knew that. So Sunbelt Rentals at a conference showed their technology portfolio, and they focused on Smarter Group. And they said, you know, ever since we put the system in place over the last five years, We've more than doubled the size of our company and we've reduced our accounts payable group by 30%,35%. And we all nodded as if we knew this or even knew why. And as soon as the conference was over, we ran over there and said, well, wait a minute, what happened? And they explained to us, well, you no longer have the mismatches, the AP mismatches, which nickel and dime you to death for every $10 and $15 and $50 part. So stuff like that, because we're now matching the buyer and the seller in an automated fashion. So the headache goes away for both of them. So stuff like that. We stumbled over a fair bit of luck along the way. But when we look at all of this, there are a few, you know, when these changes happen, there's always so much opportunity. And much as we were naive to not realize this would take a long time to take, I'm now thinking there's so much opportunity to be had, especially by dealers. And I keep waiting for that to happen. So I'll use one example that you referred to earlier. You referred to labor, dealer labor, and protecting your customer, protecting yourself with the customer to make sure that they use your labor. And I think there are some types of repair where that's absolutely critical. With all the tier four, tier five, et cetera, engine stuff, I think that'll be in the hands of the dealer. So very, very long time's to come. Whether it's a small rental company, a large one, or a large contract, or a small one. They're not going to start doing that kind of repair anytime soon. It's going to become less likely. So that's there. But there are other types of repairs. And at some point, you start thinking, well, wait a minute. Am I better off? These rental companies or these fleet owners in general, they have their own service personnel. What's the profitability that in addition to offering mine, I actually remote support theirs? There's a revenue opportunity there. Without me having to double the size of my labor force, I could potentially double. the size of service activity that I, as a dealer, am involved in. It may not involve my own group directly, but it's my group and myself and my expertise supporting those. And again, with SmartEquip, we do that by injecting the right service information at the right time and delivering it directly to the serial number of the equipment you're working at. It shows up on your mobile device and you have a technician there and people pay for it. They either pay for it directly or they pay for it by... buying higher margin parts from you than they could be getting elsewhere because that's real measurable value. And when it comes to parts, and I know we're not there yet, but we're a lot closer to there than we were to where smart equipers today when we started the company. So it's not that far out of reach. You know, when you look at places, and again, excuse the science fiction element, but when you look at places like oil drilling platforms and space stations and so forth, a lot of the parts are being printed now remotely. It is inconceivable to me that we're going to live in a world 20 years from now where the only way to get a part is by sticking it on a 747. Well, we won't have any 747s, but sticking it on an airplane and delivering it. More and more, we'll have regional printing centers for all of those. And again, the first fear is, well, then anybody could print it. No, you can protect the IP and you can do all of that stuff. But the idea of actually shipping a part halfway around the world to a machine. I think at some point that's going to become less and less so as well. And the third element in all of that, which is, again, linked to information technology, is something that you alluded to earlier as well, is machines. We have all the elements in place, and there's some really, really smart companies working on this. A company called Uptake in Chicago is one of the better known or best known examples. There's this notion that machines should not be breaking down anymore. With all the information flowing off of the machine, which often we don't know what to do with yet, right? And learning from more and more machines that are structurally or fundamentally similar and learning what happens to them at different types in their life cycle and with different types of environmental exposure, different types of work they do. We should be becoming, we are becoming better and better predicting what it needs when. So in my world, what I would love one day, what I dream about, literally dream about, which maybe that's worrisome, but what I literally dream about is a world where a machine knows it's breaking down. And knows means that, you know, the sensors tell it and it's actually the machine doesn't know anything, but it's all transmitted to a data center or as a set of facilities and with all the... the very real statistical. I don't want to use AI because it's, even though that's what it is in machine learning, but really it's at the end of the day, there are these statistical methods that are working on all of this data coming back, comparing what's happening to different machines around the world at different times. So they're saying, hey, there's a pretty good chance that over the next 30,40,50 hours, you're going to have this failure. So then they go ahead and that triggers, without any human knowing about it, that triggers a physical transfer of the right part. And since they have 30,40,50 hours, not, oh, my God, this thing broke down. We need it now. They will go ahead and find the local place. Maybe they'll print the part one day. Right now, let's say they pull it off a shelf somewhere. And physically, at the customer, this part shows up. They never ordered it. It's just showing up. And they don't own it, by the way. It just showed up. And it gets received just like any part does when it gets shipped in their system. The system will reflect because it's integrated via SmartEquip. It'll say, hey, that part belongs to your manufacturer or to your dealer. And then when that machine comes back, as a system filled out a work order, it adds that repair automatically because it's not working right now. It's a service order. It just comes in. And the minute you add that part to the work order, you get charged for it. And so it's a form of vendor managed inventory, but dynamically into the workflow. You install the part and it's back up and running. And it's not even a hiccup. It's not an emergency. It's nothing else. So these kinds of things, when you look at the workflow, and I've done this many times, you map them out in Visio and you look at these beautiful diagrams and you say, wow, that is so far into the future until you look at every single link on the chains that you're drawing and you realize. Virtually all of them exist today. The integrations you require, virtually all of them exist today. Many of them are in smart equip for other purposes, so we're already there. The technology or the statistical technology or quantitative technology, whatever you want to call it, now focused specifically on machine lifecycle stuff is being developed by really, really super smart people and data scientists. And uptake is a great example for this. So it really is now a matter of really linking all of this together. And we're much, much closer to that world today, looking back, than when we were to the world that we had to climb when we started. We were competing against people that were upset that we were taking the microfiche reader out of the service department. And nor were they going home and ordering things through Amazon either. We had to really make them think that screens are a cool thing. Nowadays, I see a lot of service technicians that are frustrated. Why can't I do in this repair what I will do this evening when I order a new pair of sneakers on Amazon? So I think we're just lagging behind, but the elements are all there.