1 00:00:03,160 --> 00:00:07,119 Speaker 1: Hey everyone, Welcome to the Restless Ones. I'm Jonathan Strickland 2 00:00:07,160 --> 00:00:09,840 Speaker 1: and I'm excited to be back for another great season. 3 00:00:10,119 --> 00:00:12,360 Speaker 1: For those tuning in for the first time, I'm glad 4 00:00:12,400 --> 00:00:14,480 Speaker 1: you found us, and for listeners who have been with 5 00:00:14,560 --> 00:00:16,960 Speaker 1: us for the past three seasons, thank you for being 6 00:00:17,000 --> 00:00:20,200 Speaker 1: part of our community. As always, my focus is on 7 00:00:20,280 --> 00:00:24,400 Speaker 1: exploring the intersection of technology and business by having conversations 8 00:00:24,440 --> 00:00:28,319 Speaker 1: with the most forward thinking leaders. Throughout my career, I've 9 00:00:28,320 --> 00:00:33,280 Speaker 1: covered everything from massive parallel processing to advanced robotics, but 10 00:00:33,720 --> 00:00:38,680 Speaker 1: what truly inspires me are the stories of innovation and transformation. 11 00:00:39,440 --> 00:00:43,200 Speaker 1: In this season, we'll continue to discuss the unique missions, challenges, 12 00:00:43,240 --> 00:00:46,880 Speaker 1: and approaches of these leaders as they drive their organizations forward, 13 00:00:47,320 --> 00:00:52,640 Speaker 1: and we'll explore the innovative thinking and technologies like flexible applications, 14 00:00:52,760 --> 00:00:56,480 Speaker 1: more capable devices, and advanced networking like five G that 15 00:00:56,560 --> 00:00:59,560 Speaker 1: are helping business leaders act on their big ideas quickly 16 00:00:59,800 --> 00:01:03,920 Speaker 1: and unlock mission critical outcomes. What's become clear to us 17 00:01:04,040 --> 00:01:07,800 Speaker 1: after three seasons of insightful conversations is that we can't 18 00:01:08,000 --> 00:01:11,600 Speaker 1: change tomorrow by deploying solutions of the past. The advances 19 00:01:11,600 --> 00:01:14,320 Speaker 1: in technology that we'll be discussing this season offer an 20 00:01:14,520 --> 00:01:21,399 Speaker 1: unparalleled opportunity for leaders who embrace them. Leaders like Danny Lilly, 21 00:01:21,720 --> 00:01:25,600 Speaker 1: VP and Chief Technology Officer of Werner Enterprises. Back in 22 00:01:25,640 --> 00:01:28,959 Speaker 1: the nineteen fifties, a man named Clarence Warner bought a 23 00:01:29,000 --> 00:01:33,080 Speaker 1: truck and got his start in the trucking industry. Decades later, 24 00:01:33,520 --> 00:01:37,440 Speaker 1: that humble start has blossomed into a logistics and trucking 25 00:01:37,520 --> 00:01:42,440 Speaker 1: company that employs around thirteen thousand people. Warner works with 26 00:01:42,520 --> 00:01:45,319 Speaker 1: shippers to get payloads where they need to be and 27 00:01:45,360 --> 00:01:47,680 Speaker 1: when our guest Danny Lilly joined the company, it was 28 00:01:47,720 --> 00:01:51,320 Speaker 1: at a time when big changes were hitting the trucking industry. 29 00:01:51,880 --> 00:01:54,920 Speaker 1: We're talking about a time when stuff like cloud computing 30 00:01:54,960 --> 00:01:59,559 Speaker 1: and the Internet of Things emerged from being buzzwords into 31 00:01:59,640 --> 00:02:04,440 Speaker 1: real world applications where visionaries saw ways to leverage technology 32 00:02:04,480 --> 00:02:07,840 Speaker 1: to get a deeper, more complete understanding of their business 33 00:02:08,320 --> 00:02:11,240 Speaker 1: and how to improve it. And that's just the sort 34 00:02:11,240 --> 00:02:14,400 Speaker 1: of leader Danny is. I sat down with Danny to 35 00:02:14,440 --> 00:02:18,200 Speaker 1: talk about his experiences at Werner Enterprises, how technology has 36 00:02:18,280 --> 00:02:21,400 Speaker 1: opened up new opportunities in the sector, and the journey 37 00:02:21,400 --> 00:02:24,680 Speaker 1: Warner is on toward embracing a futuristic vision of how 38 00:02:24,720 --> 00:02:27,360 Speaker 1: a company can make use of tech to add value 39 00:02:27,400 --> 00:02:30,840 Speaker 1: to the business as well as empower employees to focus 40 00:02:30,880 --> 00:02:34,600 Speaker 1: on their core strengths. But before we get to all that, 41 00:02:35,240 --> 00:02:41,040 Speaker 1: I wanted to get to know Danny a little bit better. Danny, 42 00:02:41,320 --> 00:02:43,000 Speaker 1: Welcome to the Restless Ones. 43 00:02:43,520 --> 00:02:46,040 Speaker 2: I appreciate you having me on and I love to 44 00:02:46,080 --> 00:02:47,880 Speaker 2: talk about technology, so this is great. 45 00:02:48,480 --> 00:02:51,680 Speaker 1: So can you talk to me about what drew you 46 00:02:52,240 --> 00:02:55,760 Speaker 1: into a career path with technology in the first place. 47 00:02:56,320 --> 00:02:59,400 Speaker 2: Yeah. Absolutely, So I've started my career and focusing on 48 00:02:59,440 --> 00:03:04,920 Speaker 2: a lot of project and improving processes, eliminating waste, and 49 00:03:05,120 --> 00:03:07,440 Speaker 2: what I've found is that after you do that, the 50 00:03:07,480 --> 00:03:12,320 Speaker 2: best way to ensure that those practices are sustained is 51 00:03:12,360 --> 00:03:15,520 Speaker 2: by leveraging technology. So I've had an opportunity throughout my 52 00:03:15,680 --> 00:03:19,480 Speaker 2: entire career to leverage technology and then decide at some 53 00:03:19,480 --> 00:03:22,200 Speaker 2: point to turn that into my career long term. And 54 00:03:22,360 --> 00:03:27,240 Speaker 2: it's been a great opportunity to focus on how to improve, 55 00:03:27,320 --> 00:03:30,079 Speaker 2: how to make things better, and then applying tech to 56 00:03:30,160 --> 00:03:32,160 Speaker 2: maintain and sustain that long term. 57 00:03:32,560 --> 00:03:35,360 Speaker 1: Yeah, it's a very important perspective to have with tech 58 00:03:35,400 --> 00:03:39,000 Speaker 1: in general. I think there's always this temptation to jump 59 00:03:39,040 --> 00:03:42,240 Speaker 1: on the new shiny thing without first really considering does 60 00:03:42,320 --> 00:03:45,320 Speaker 1: this add value and if so, how and is it 61 00:03:45,360 --> 00:03:48,440 Speaker 1: actually better than what we're doing already. How long have 62 00:03:48,480 --> 00:03:50,920 Speaker 1: you been in the transportation industry itself. 63 00:03:51,640 --> 00:03:54,240 Speaker 2: Yeah, so I started in the mid two thousands, and 64 00:03:54,560 --> 00:03:59,640 Speaker 2: back then in transportation and trucking companies especially, they were 65 00:03:59,640 --> 00:04:04,640 Speaker 2: generally ten years or so behind most other verticals and companies. 66 00:04:05,200 --> 00:04:08,840 Speaker 2: The past ten years focused exclusively on technology, but the 67 00:04:08,840 --> 00:04:12,560 Speaker 2: first five to seven years started as a financial analyst, 68 00:04:12,680 --> 00:04:17,400 Speaker 2: focused on just understanding business and processes and profit spent 69 00:04:17,480 --> 00:04:21,440 Speaker 2: a lot of time identifying gaps and inefficiencies in p 70 00:04:21,560 --> 00:04:24,200 Speaker 2: and ls and things like that. So just a really 71 00:04:24,240 --> 00:04:29,840 Speaker 2: good foundation to understand how businesses work and profitability. That's 72 00:04:29,839 --> 00:04:31,000 Speaker 2: helped me throughout my career. 73 00:04:31,640 --> 00:04:35,039 Speaker 1: That's fantastic. It's a different sort of background than what 74 00:04:35,160 --> 00:04:37,560 Speaker 1: I often encounter when I'm talking with people in the 75 00:04:37,600 --> 00:04:40,359 Speaker 1: tech sector. I often get the feeling, especially in the 76 00:04:40,360 --> 00:04:43,760 Speaker 1: startup world, where you have these geniuses who have become 77 00:04:43,800 --> 00:04:47,760 Speaker 1: great innovators, but they perhaps haven't had the experience to 78 00:04:47,880 --> 00:04:51,320 Speaker 1: learn about the actual ways to run a business effectively, 79 00:04:51,839 --> 00:04:56,040 Speaker 1: so that you are maximizing efficiency, you're minimizing waste, you 80 00:04:56,080 --> 00:04:59,719 Speaker 1: are keeping an eye on costs, you're evaluating risk and 81 00:05:00,000 --> 00:05:02,880 Speaker 1: and also still taking risks, and you know how to 82 00:05:02,960 --> 00:05:07,600 Speaker 1: manage this entire enormous machine. And I've met a lot 83 00:05:07,600 --> 00:05:09,360 Speaker 1: of people are very good at building things, but they're 84 00:05:09,400 --> 00:05:12,120 Speaker 1: not necessarily good at keeping that thing running. 85 00:05:13,080 --> 00:05:15,760 Speaker 2: And as we look at any company that's going through 86 00:05:15,880 --> 00:05:19,960 Speaker 2: a modernization effort, that has to be the thought process. 87 00:05:20,440 --> 00:05:23,159 Speaker 2: We've been doing this same thing the same way for 88 00:05:23,200 --> 00:05:26,760 Speaker 2: twenty years, and we've built process upon process upon process, 89 00:05:27,040 --> 00:05:30,200 Speaker 2: and having the ability to step back and say, well, 90 00:05:30,600 --> 00:05:33,720 Speaker 2: if we didn't have all of that technical debt and 91 00:05:33,839 --> 00:05:37,200 Speaker 2: we're to look at this fresh oftentimes we would do 92 00:05:37,240 --> 00:05:40,599 Speaker 2: things very differently. I think as you look at change 93 00:05:40,839 --> 00:05:44,400 Speaker 2: and new opportunities, I think one of the most surprising 94 00:05:44,440 --> 00:05:47,080 Speaker 2: part of it is how reluctant people often are to 95 00:05:47,200 --> 00:05:50,760 Speaker 2: embrace change, and how important is as a technologist to 96 00:05:50,920 --> 00:05:55,120 Speaker 2: understand the end user and to provide capabilities that are 97 00:05:55,200 --> 00:05:58,320 Speaker 2: factors greater than what they're doing now, and it has 98 00:05:58,360 --> 00:06:01,240 Speaker 2: to be incredibly compelling to to make it do so, 99 00:06:02,040 --> 00:06:06,320 Speaker 2: and just the close alignment that is needed between business 100 00:06:06,360 --> 00:06:10,719 Speaker 2: and it. Some organizations try to operate those separately, but 101 00:06:10,960 --> 00:06:14,599 Speaker 2: it is really those synergies. The technology team needs to 102 00:06:14,839 --> 00:06:18,440 Speaker 2: understand how the business is run, how it works, and 103 00:06:18,960 --> 00:06:21,880 Speaker 2: it's also important that people on the operation side understand 104 00:06:21,880 --> 00:06:25,560 Speaker 2: technology and how to apply it. But I think organizations 105 00:06:25,600 --> 00:06:27,560 Speaker 2: that really get it and are really able to move 106 00:06:27,600 --> 00:06:30,040 Speaker 2: forward quickly, those synergies are there. 107 00:06:30,720 --> 00:06:34,280 Speaker 1: Well, let's talk a bit about connectivity. That is something 108 00:06:34,320 --> 00:06:37,040 Speaker 1: that we really value on this show because in my mind, 109 00:06:37,360 --> 00:06:41,520 Speaker 1: connectivity is the foundational technology that allows all these other 110 00:06:41,560 --> 00:06:45,719 Speaker 1: innovations to actually work. Without connectivity, you have a lot 111 00:06:45,760 --> 00:06:50,360 Speaker 1: of islands of tech that have limited use. How has 112 00:06:50,440 --> 00:06:54,080 Speaker 1: wireless connectivity transformed the trucking business? 113 00:06:54,760 --> 00:06:57,680 Speaker 2: So if you think twenty thirty years ago, right, You've 114 00:06:57,720 --> 00:07:00,360 Speaker 2: got tens of thousands of trailers out there there at 115 00:07:00,440 --> 00:07:05,280 Speaker 2: various places. You've got thousands of trucks and thousands of drivers, 116 00:07:05,720 --> 00:07:07,520 Speaker 2: and you have to get the right truck with the 117 00:07:07,600 --> 00:07:11,080 Speaker 2: right driver on the right trailer. So all of our 118 00:07:11,120 --> 00:07:15,160 Speaker 2: twenty five thousand trailers are cellular connected, so we know 119 00:07:15,320 --> 00:07:18,240 Speaker 2: exactly where they are, how long they've been there. We 120 00:07:18,280 --> 00:07:21,560 Speaker 2: have sensors to know if it's loaded or unloaded. So 121 00:07:21,640 --> 00:07:24,520 Speaker 2: what we're able to do with that is to eliminate 122 00:07:24,600 --> 00:07:27,680 Speaker 2: just a lot of waste in the process. So I 123 00:07:27,720 --> 00:07:30,760 Speaker 2: can know when a driver arrives at a shipper, I 124 00:07:30,800 --> 00:07:32,920 Speaker 2: don't have to go to a form and fill out, 125 00:07:32,960 --> 00:07:37,080 Speaker 2: hey i'm here, because that cellular device, that GPS device 126 00:07:37,200 --> 00:07:40,320 Speaker 2: is there, I know exactly when they've arrived. So it 127 00:07:40,360 --> 00:07:44,800 Speaker 2: really just facilitates the entire movement of freight across the 128 00:07:44,840 --> 00:07:47,200 Speaker 2: country and just makes it so much easier. 129 00:07:47,880 --> 00:07:50,520 Speaker 1: It's hard for me to even get my mind wrapped 130 00:07:50,560 --> 00:07:54,160 Speaker 1: around how big of an impact it has on logistics 131 00:07:54,360 --> 00:07:58,000 Speaker 1: and supply chain. Obviously, supply chain is something that we've 132 00:07:58,240 --> 00:08:00,480 Speaker 1: heard a lot about in the past couple of years, 133 00:08:00,480 --> 00:08:03,880 Speaker 1: because when the pandemic hit and we started to see 134 00:08:03,920 --> 00:08:08,520 Speaker 1: that massive domino effect, people suddenly became really aware of 135 00:08:08,680 --> 00:08:12,600 Speaker 1: things that you knew about already being in the industry. 136 00:08:12,640 --> 00:08:14,600 Speaker 1: It's something that a lot of people take for granted, 137 00:08:14,640 --> 00:08:17,200 Speaker 1: but it's the fact that we have these technologies that 138 00:08:17,280 --> 00:08:21,480 Speaker 1: allow us to keep all those pieces in play all 139 00:08:21,520 --> 00:08:23,360 Speaker 1: at the same time and know what's going on with 140 00:08:23,400 --> 00:08:28,440 Speaker 1: any individual piece at any given time. Phenomenal transformation and 141 00:08:28,720 --> 00:08:33,640 Speaker 1: also one that without wireless connectivity and the various technologies 142 00:08:33,640 --> 00:08:35,280 Speaker 1: we built on top of it, I don't think would 143 00:08:35,320 --> 00:08:36,040 Speaker 1: be scalable. 144 00:08:36,559 --> 00:08:41,280 Speaker 2: Yeah, behind that are millions of data points and freight 145 00:08:41,360 --> 00:08:45,160 Speaker 2: coming from overseas, So there's just so many components to 146 00:08:45,240 --> 00:08:48,360 Speaker 2: build out a supply chain that when one of those 147 00:08:48,400 --> 00:08:53,200 Speaker 2: things fails, it has just incredible downstream impact. So the 148 00:08:53,240 --> 00:08:56,600 Speaker 2: ability to know where those bottlenecks are, to know where 149 00:08:56,600 --> 00:09:00,360 Speaker 2: those challenges are and to quickly address them, I think 150 00:09:00,440 --> 00:09:02,520 Speaker 2: that was one of the major lessons learned out of 151 00:09:02,520 --> 00:09:10,840 Speaker 2: that supply chain crisis in twenty twenty. 152 00:09:13,120 --> 00:09:15,520 Speaker 1: Well, Danny, one other thing that we love to chat 153 00:09:15,559 --> 00:09:19,080 Speaker 1: about on this show is five G and the opportunities 154 00:09:19,120 --> 00:09:21,760 Speaker 1: that opens up. What kind of opportunities do you see 155 00:09:21,800 --> 00:09:23,959 Speaker 1: to leverage five G technology and trucking. 156 00:09:24,760 --> 00:09:28,400 Speaker 2: There are a lot of advancements happening right now. We 157 00:09:28,440 --> 00:09:33,040 Speaker 2: talk about autonomous vehicles and a lot of data intensive 158 00:09:33,160 --> 00:09:37,240 Speaker 2: things that are starting to happen. We're heavily involved with 159 00:09:37,840 --> 00:09:41,000 Speaker 2: all of the autonomous Class eight vehicle companies out there 160 00:09:41,120 --> 00:09:45,000 Speaker 2: understanding what they're doing. But what happens now is that 161 00:09:45,000 --> 00:09:48,360 Speaker 2: that truck thing gets back to the warehouse and they're 162 00:09:48,400 --> 00:09:53,120 Speaker 2: swapping out memory packs. So the ability to offload data 163 00:09:53,160 --> 00:09:55,920 Speaker 2: to provide data real time is I think a great 164 00:09:55,920 --> 00:09:59,440 Speaker 2: opportunity moving a lot of the processing to the edge 165 00:09:59,520 --> 00:10:02,840 Speaker 2: as well. There are a lot of analytics that are 166 00:10:02,960 --> 00:10:05,840 Speaker 2: happening as the driver is moving down the road. We 167 00:10:05,880 --> 00:10:09,880 Speaker 2: have forward facing video cameras we're analyzing situations. So the 168 00:10:09,960 --> 00:10:12,160 Speaker 2: more of that that can happen on the edge and 169 00:10:12,240 --> 00:10:16,760 Speaker 2: we can provide that real time data analysis and feedback, 170 00:10:17,200 --> 00:10:20,600 Speaker 2: I think is just a great opportunity. Something that we're 171 00:10:20,600 --> 00:10:23,560 Speaker 2: doing now is we have a group of drivers we 172 00:10:23,640 --> 00:10:25,920 Speaker 2: call our million milers, so they've been on the road 173 00:10:26,320 --> 00:10:30,640 Speaker 2: accident free for over a million miles. So we are 174 00:10:30,760 --> 00:10:34,320 Speaker 2: providing them with unlimited five G Wi Fi in all 175 00:10:34,559 --> 00:10:38,080 Speaker 2: of their trucks so that they have the ability wherever 176 00:10:38,160 --> 00:10:41,240 Speaker 2: they are to leverage that Wi Fi. So even as 177 00:10:41,360 --> 00:10:45,199 Speaker 2: a driver benefit for some of our exclusive drivers, we 178 00:10:45,240 --> 00:10:47,920 Speaker 2: are currently leveraging five G to do that. 179 00:10:48,040 --> 00:10:51,880 Speaker 1: Now, I'm curious how has that impacted metrics on the 180 00:10:51,920 --> 00:10:52,960 Speaker 1: business side. 181 00:10:53,320 --> 00:10:56,640 Speaker 2: Just simple metrics, like we're providing anywhere from thirty minutes 182 00:10:56,640 --> 00:10:59,280 Speaker 2: to an hour back to our drivers so that they 183 00:10:59,320 --> 00:11:02,240 Speaker 2: can do what they do in haul freight and move 184 00:11:02,280 --> 00:11:05,800 Speaker 2: freight across the country. And there's a financial impact to that, 185 00:11:05,920 --> 00:11:09,280 Speaker 2: of course, but the real impact is we're freeing up 186 00:11:09,320 --> 00:11:12,640 Speaker 2: non value time for our drivers, making their lives easier. 187 00:11:13,240 --> 00:11:16,960 Speaker 1: I love that message of giving time back because obviously 188 00:11:16,960 --> 00:11:20,520 Speaker 1: that's a resource that only goes one way. We can't 189 00:11:20,559 --> 00:11:23,920 Speaker 1: ever get time back. After the fact, that positive impact 190 00:11:23,960 --> 00:11:25,720 Speaker 1: on the driver cascades all the way back to the 191 00:11:25,760 --> 00:11:30,800 Speaker 1: clients and ultimately to consumers as well. And it's when 192 00:11:30,800 --> 00:11:32,480 Speaker 1: you start to take a step back and look at 193 00:11:32,480 --> 00:11:35,280 Speaker 1: that big picture that you really begin to appreciate the 194 00:11:35,400 --> 00:11:39,400 Speaker 1: impact that these changes have had on the transportation sector. 195 00:11:40,080 --> 00:11:44,040 Speaker 1: Are there any other sort of mission critical areas where 196 00:11:44,080 --> 00:11:47,240 Speaker 1: five G is starting to either play a part now 197 00:11:47,400 --> 00:11:51,319 Speaker 1: or play a part in plans everything from vehicle maintenance 198 00:11:51,440 --> 00:11:55,319 Speaker 1: to compliance requirements to driver safety or all of those 199 00:11:55,360 --> 00:11:57,920 Speaker 1: sort of in the mix when we start talking about 200 00:11:57,960 --> 00:11:59,920 Speaker 1: things like high speed wireless connectivity. 201 00:12:00,520 --> 00:12:03,680 Speaker 2: Yes, so if you look at a Class eight truck, 202 00:12:03,760 --> 00:12:07,040 Speaker 2: you see this big rig right, Well, in reality it 203 00:12:07,160 --> 00:12:11,040 Speaker 2: is a massive computer with over one hundred censors. We 204 00:12:11,080 --> 00:12:13,840 Speaker 2: actually have multiple cellular cards on there, and that's streaming 205 00:12:13,920 --> 00:12:18,720 Speaker 2: data back. So things like ambient air temperature or is 206 00:12:18,880 --> 00:12:21,760 Speaker 2: the seat belt buckled? Or what are the fuel levels 207 00:12:21,840 --> 00:12:25,599 Speaker 2: or what are the battery voltage levels? There are infinite 208 00:12:25,720 --> 00:12:29,160 Speaker 2: use cases there to leverage that data. So what we 209 00:12:29,400 --> 00:12:32,080 Speaker 2: are doing is we're streaming the vast majority of that 210 00:12:32,160 --> 00:12:36,040 Speaker 2: data back to the cloud, running that across event grids, 211 00:12:36,559 --> 00:12:42,200 Speaker 2: and trying to understand anomalies and opportunities in that data. 212 00:12:42,440 --> 00:12:46,240 Speaker 2: Just simple things like a driver sees a check engine 213 00:12:46,280 --> 00:12:49,640 Speaker 2: light on. So we're able to stream that data back, 214 00:12:49,840 --> 00:12:53,960 Speaker 2: understand it processes, and say, hey, you have a low 215 00:12:54,040 --> 00:12:57,360 Speaker 2: diesel exhaust fluid. If you don't fill that up, you're 216 00:12:57,360 --> 00:12:58,960 Speaker 2: going to end up on the side of the road 217 00:12:59,080 --> 00:13:03,160 Speaker 2: really fast. So let's change your route. Let's prevent this problem. 218 00:13:03,400 --> 00:13:05,520 Speaker 2: So we're able to get in front of things before 219 00:13:05,559 --> 00:13:10,400 Speaker 2: they become actual problems and to provide additional data and 220 00:13:10,440 --> 00:13:11,640 Speaker 2: insight to our teams. 221 00:13:12,280 --> 00:13:15,439 Speaker 1: I think, Danta, you just redefined IoT to be Internet 222 00:13:15,440 --> 00:13:20,000 Speaker 1: of Trucking, which is totally cool. Yeah, I'm curious if 223 00:13:20,000 --> 00:13:23,200 Speaker 1: you can tell us a bit about Werner Edge. Can 224 00:13:23,240 --> 00:13:25,640 Speaker 1: you talk about what that is and how it works. 225 00:13:26,360 --> 00:13:29,000 Speaker 2: What we did with Warner Edge is we're built on 226 00:13:29,679 --> 00:13:33,760 Speaker 2: thirty years of technology and we are in the process 227 00:13:33,840 --> 00:13:36,720 Speaker 2: now of modernizing and replacing every bit of that. I 228 00:13:36,720 --> 00:13:39,280 Speaker 2: think what a lot of companies do is they add 229 00:13:39,360 --> 00:13:43,160 Speaker 2: a shiny toy but still leave the base there and 230 00:13:43,760 --> 00:13:47,280 Speaker 2: you can't move forward like that. So what we're doing 231 00:13:47,360 --> 00:13:49,520 Speaker 2: with Warner Edge, and I know it's simple things, but 232 00:13:50,000 --> 00:13:53,640 Speaker 2: a SAS spaceed HRMS, a new finance system. So every 233 00:13:53,679 --> 00:13:57,280 Speaker 2: piece of technology is either we're moving to a SaaS 234 00:13:57,440 --> 00:14:02,040 Speaker 2: or a cloud solution and we're not leaving anything behind. 235 00:14:02,320 --> 00:14:06,200 Speaker 2: So when we get through this modernization effort, we'll have 236 00:14:06,760 --> 00:14:09,600 Speaker 2: an incredible connected tech stack that will help us to 237 00:14:09,679 --> 00:14:13,240 Speaker 2: innovate and to improve. Warner Edge is that umbrella that 238 00:14:13,360 --> 00:14:17,560 Speaker 2: encompasses that transformation, and we kind of have three core 239 00:14:17,640 --> 00:14:22,320 Speaker 2: components of it. So one is to modernize our base application. 240 00:14:22,520 --> 00:14:25,640 Speaker 2: So we built our own hr system, We've built our 241 00:14:25,680 --> 00:14:28,560 Speaker 2: own finance system. Why would you ever do that? Now? Right? 242 00:14:28,760 --> 00:14:31,760 Speaker 2: There are great off the shelf SaaS solutions out there 243 00:14:32,200 --> 00:14:36,320 Speaker 2: that provide those capabilities, and I have a certain number 244 00:14:36,360 --> 00:14:40,360 Speaker 2: of engineering talent. Let's leverage that talent to actually build 245 00:14:40,360 --> 00:14:44,760 Speaker 2: those things that differentiate us, that provide a unique competitive advantage. 246 00:14:45,320 --> 00:14:48,840 Speaker 2: So that's the second tier is to build those differentiators, 247 00:14:48,920 --> 00:14:52,440 Speaker 2: focus our dev teams on those things, and then the 248 00:14:52,440 --> 00:14:55,520 Speaker 2: third is look to the future, so what are the 249 00:14:55,560 --> 00:14:59,560 Speaker 2: newest tech, what are the latest capabilities and also partnering 250 00:14:59,600 --> 00:15:03,400 Speaker 2: with a lot of startups and venture capital to understand 251 00:15:03,880 --> 00:15:06,160 Speaker 2: where they're innovating and they can fill gaps. 252 00:15:06,840 --> 00:15:10,440 Speaker 1: That really hits home to the restless ones. This concept 253 00:15:10,480 --> 00:15:15,560 Speaker 1: of embracing the new and trying to avoid reliance upon 254 00:15:15,680 --> 00:15:20,960 Speaker 1: things like legacy systems. So many companies have spent decades, 255 00:15:21,080 --> 00:15:24,360 Speaker 1: maybe even up to a century, building up these legacy 256 00:15:24,400 --> 00:15:28,920 Speaker 1: systems that they cannot easily migrate from, and it can 257 00:15:29,160 --> 00:15:32,560 Speaker 1: be one of those elements that holds a business back 258 00:15:32,600 --> 00:15:36,160 Speaker 1: from the next step in its success story. So can 259 00:15:36,200 --> 00:15:39,360 Speaker 1: you kind of walk us through the various components of 260 00:15:39,560 --> 00:15:42,120 Speaker 1: the system and how they work together to provide value 261 00:15:42,520 --> 00:15:44,920 Speaker 1: to customers On the customer side. 262 00:15:45,000 --> 00:15:47,480 Speaker 2: Yeah, So as we're modernizing all of the efforts, we 263 00:15:47,480 --> 00:15:50,800 Speaker 2: have a very API driven approach, so we want to 264 00:15:50,840 --> 00:15:54,560 Speaker 2: make sure that whatever we're doing is extensible. So as 265 00:15:54,600 --> 00:15:57,640 Speaker 2: we will partner with shippers, all of that data that's 266 00:15:57,640 --> 00:16:01,200 Speaker 2: in our transportation management system we can share and we 267 00:16:01,240 --> 00:16:05,160 Speaker 2: can also ingest, so that allows us to take in 268 00:16:05,160 --> 00:16:09,040 Speaker 2: information from shippers. We work with our equipment manufacturers, so 269 00:16:09,520 --> 00:16:11,760 Speaker 2: there's a lot of third party systems out there that 270 00:16:11,840 --> 00:16:14,800 Speaker 2: have incredible data that we can ingest and bring into 271 00:16:14,920 --> 00:16:16,480 Speaker 2: our system. 272 00:16:16,640 --> 00:16:19,960 Speaker 1: Yeah, and again, this has that cascading effect right to 273 00:16:20,040 --> 00:16:23,560 Speaker 1: that end. I'm also curious how that impacts drivers because 274 00:16:23,560 --> 00:16:27,320 Speaker 1: I assume they also are able to benefit from a 275 00:16:27,400 --> 00:16:30,040 Speaker 1: lot of the information that we're talking about here. 276 00:16:30,800 --> 00:16:34,160 Speaker 2: So we've looked at the entire value stream of what 277 00:16:34,200 --> 00:16:37,200 Speaker 2: a driver does on a day to day basis. We've 278 00:16:37,240 --> 00:16:40,400 Speaker 2: looked at that workflow, and then we've found opportunities to 279 00:16:40,560 --> 00:16:43,120 Speaker 2: automate that. At one point, we've moved away from this 280 00:16:43,280 --> 00:16:46,560 Speaker 2: form based system. So there were like sixty different forms 281 00:16:46,560 --> 00:16:49,360 Speaker 2: and a rive at shipper, a departed shipper, and it 282 00:16:49,440 --> 00:16:52,960 Speaker 2: was a one way communication piece. So if I had 283 00:16:53,120 --> 00:16:56,280 Speaker 2: an error, it would go back, bounce back, and we 284 00:16:56,280 --> 00:17:01,160 Speaker 2: would ask fifty questions. Forty of those are acts relevant. 285 00:17:01,360 --> 00:17:04,560 Speaker 2: So what we've been able to do now is to 286 00:17:04,800 --> 00:17:08,760 Speaker 2: build that into a workflow. But even better, I've geofensed 287 00:17:08,800 --> 00:17:12,240 Speaker 2: all of my shipper locations, so instead of asking them 288 00:17:12,280 --> 00:17:15,120 Speaker 2: to fill an arrive or a departure form, I aut 289 00:17:15,720 --> 00:17:19,560 Speaker 2: I auto depart. That data is captured and yes, that's 290 00:17:19,600 --> 00:17:22,960 Speaker 2: great for the shipper, but for the driver, now that 291 00:17:23,080 --> 00:17:26,719 Speaker 2: takes fifteen to twenty minutes of just non value add 292 00:17:26,840 --> 00:17:30,879 Speaker 2: activity out of their day, it becomes more accurate. So 293 00:17:30,920 --> 00:17:33,119 Speaker 2: there's a lot of things like that that we've been 294 00:17:33,160 --> 00:17:35,720 Speaker 2: able to build out in our driver's day to day 295 00:17:36,000 --> 00:17:40,240 Speaker 2: workflow and just to streamline, why ask them twenty questions 296 00:17:40,280 --> 00:17:42,959 Speaker 2: when we know that data, I can just provide it 297 00:17:43,000 --> 00:17:47,119 Speaker 2: to them. So we've really simplified and had a strong 298 00:17:47,160 --> 00:17:50,320 Speaker 2: emphasis and focus on improving the day to day of 299 00:17:50,359 --> 00:17:51,200 Speaker 2: our drivers. 300 00:17:51,800 --> 00:17:54,760 Speaker 1: Is the Warner edge system an integral component in training 301 00:17:54,800 --> 00:17:55,639 Speaker 1: at this point. 302 00:17:55,960 --> 00:17:58,280 Speaker 2: Yeah, So we've had a lot of forms based and 303 00:17:58,720 --> 00:18:02,159 Speaker 2: other onboarding efforts where we've been able to digitize that 304 00:18:02,359 --> 00:18:05,639 Speaker 2: entire process. The edge Connect, which is our device that 305 00:18:05,680 --> 00:18:09,840 Speaker 2: we use to bring them these capabilities, starts at orientation 306 00:18:10,160 --> 00:18:13,679 Speaker 2: and follows them throughout their career. The first experience that 307 00:18:13,720 --> 00:18:16,560 Speaker 2: a new employee has is really really important. 308 00:18:17,320 --> 00:18:20,040 Speaker 1: Well, we touched on it earlier, you brought it up, 309 00:18:20,080 --> 00:18:22,560 Speaker 1: and now I have to talk about it because one 310 00:18:22,600 --> 00:18:24,680 Speaker 1: of the things that we do here a lot when 311 00:18:24,680 --> 00:18:26,800 Speaker 1: we're talking about the future of the trucking industry is 312 00:18:27,440 --> 00:18:31,760 Speaker 1: the potential incorporation of autonomous vehicles. So where do you 313 00:18:31,880 --> 00:18:33,800 Speaker 1: see the future if you were to think of a 314 00:18:33,840 --> 00:18:38,320 Speaker 1: spectrum between how can I make a driver's life easier 315 00:18:38,359 --> 00:18:41,720 Speaker 1: and their job more rewarding all the way to the 316 00:18:41,840 --> 00:18:44,959 Speaker 1: robots are driving the trucks. Where are you kind of falling? 317 00:18:45,880 --> 00:18:48,919 Speaker 2: As I look at the demand for drivers over the 318 00:18:48,960 --> 00:18:52,840 Speaker 2: next ten to fifteen twenty years, there's a driver shortage now, 319 00:18:53,040 --> 00:18:57,640 Speaker 2: and by the wildest calculations of AV adoption, we still 320 00:18:57,640 --> 00:19:01,880 Speaker 2: see their substantial driver shortage needs. So any truck driver 321 00:19:02,080 --> 00:19:05,320 Speaker 2: entering the industry now will have a career for as 322 00:19:05,359 --> 00:19:08,320 Speaker 2: far as I can see into the future. One of 323 00:19:08,320 --> 00:19:12,399 Speaker 2: the major benefits we've seen with autonomy is advancements in 324 00:19:12,560 --> 00:19:16,639 Speaker 2: safety capabilities and features. I expect that to continue and 325 00:19:16,720 --> 00:19:21,080 Speaker 2: to see downstream impacts of those technologies. But there are 326 00:19:21,240 --> 00:19:25,679 Speaker 2: areas where AV makes sense now where that technology is. 327 00:19:26,560 --> 00:19:30,320 Speaker 2: As I've gone on ride alongs and participated, it really 328 00:19:30,400 --> 00:19:33,080 Speaker 2: is impressive to be in a Class eight vehicle on 329 00:19:33,119 --> 00:19:37,560 Speaker 2: a freeway that can essentially drive itself. And if any 330 00:19:37,560 --> 00:19:39,560 Speaker 2: of us have taken an eight or a ten hour 331 00:19:39,640 --> 00:19:43,119 Speaker 2: road trip, there's certain sections of that road trip where 332 00:19:43,520 --> 00:19:46,240 Speaker 2: it might make a lot of sense. It's hard to 333 00:19:46,280 --> 00:19:50,120 Speaker 2: really say where mass adoption is. There's still a lot 334 00:19:50,119 --> 00:19:51,919 Speaker 2: of hurdles that have to be overcome. 335 00:19:52,520 --> 00:19:56,080 Speaker 1: I'm also curious, do you envision a future where we 336 00:19:56,160 --> 00:20:01,840 Speaker 1: have this connected trucking industry interacting with cities on almost 337 00:20:01,880 --> 00:20:03,919 Speaker 1: an invisible way through data. 338 00:20:04,680 --> 00:20:07,919 Speaker 2: I hope that we get there once there's autonomous hubs 339 00:20:07,920 --> 00:20:11,600 Speaker 2: outside of cities. We expect drivers to be doing those 340 00:20:11,600 --> 00:20:15,640 Speaker 2: intercity loads and capabilities, and if we could provide efficient 341 00:20:15,760 --> 00:20:19,520 Speaker 2: routes and help them move through cities better. Yeah, I 342 00:20:19,520 --> 00:20:21,239 Speaker 2: think it would be great to see some of that 343 00:20:21,320 --> 00:20:22,679 Speaker 2: technology move forward. 344 00:20:25,160 --> 00:20:27,400 Speaker 1: Before I could let them go, I had to ask 345 00:20:27,520 --> 00:20:35,560 Speaker 1: Danny one more thing, what's the best advice you have 346 00:20:35,640 --> 00:20:36,400 Speaker 1: ever received? 347 00:20:37,160 --> 00:20:40,359 Speaker 2: So I think two things. One is to embrace change 348 00:20:40,480 --> 00:20:43,159 Speaker 2: and to two is to challenge the status quo. I 349 00:20:43,200 --> 00:20:47,600 Speaker 2: think some of the biggest opportunities of any organization is 350 00:20:48,400 --> 00:20:51,000 Speaker 2: for those employees to say, you know, I don't really 351 00:20:51,080 --> 00:20:54,119 Speaker 2: understand this. This doesn't quite make sense to me. And 352 00:20:54,160 --> 00:20:57,040 Speaker 2: then as you go through that process, sometimes it just 353 00:20:57,080 --> 00:20:59,320 Speaker 2: doesn't make sense and there's a better way and a 354 00:20:59,400 --> 00:21:02,440 Speaker 2: new opportunit unity, and sometimes you know it's a lack 355 00:21:02,480 --> 00:21:06,120 Speaker 2: of understanding. But embraced change and challenge the status quo, 356 00:21:06,440 --> 00:21:09,240 Speaker 2: I think is what all of us should be doing, 357 00:21:09,320 --> 00:21:11,679 Speaker 2: and that way we can continue to advance and move forward. 358 00:21:12,160 --> 00:21:16,600 Speaker 1: That's a great, great answer, Danny Thank you so much 359 00:21:16,640 --> 00:21:18,640 Speaker 1: for joining us for the restless ones. This has been 360 00:21:18,680 --> 00:21:19,480 Speaker 1: a real pleasure. 361 00:21:19,840 --> 00:21:22,280 Speaker 2: Jonathan, thank you, It's been great to be here. I 362 00:21:22,280 --> 00:21:23,160 Speaker 2: appreciate the time. 363 00:21:28,560 --> 00:21:31,639 Speaker 1: Again, I have to thank Danny and Werner Enterprises for 364 00:21:31,760 --> 00:21:35,600 Speaker 1: joining the show. My guests frequently surprise and impress me, 365 00:21:35,720 --> 00:21:40,439 Speaker 1: and Danny was no exception. Learning how technologically advanced the 366 00:21:40,440 --> 00:21:44,880 Speaker 1: trucking industry actually is and how connectivity enables the automation 367 00:21:44,960 --> 00:21:48,480 Speaker 1: of tasks that normally but put increased demands on driver's 368 00:21:48,520 --> 00:21:52,119 Speaker 1: time and energy really made an impact on me. Knowing 369 00:21:52,160 --> 00:21:55,160 Speaker 1: that driver's safety and satisfaction will have an effect throughout 370 00:21:55,160 --> 00:21:58,800 Speaker 1: the business, ultimately benefiting not just the drivers, but Warner 371 00:21:59,040 --> 00:22:04,119 Speaker 1: Warner's clients and even end customers is pretty incredible. And again, 372 00:22:04,560 --> 00:22:09,240 Speaker 1: the foundation for these capabilities is that wireless connectivity. It's 373 00:22:09,280 --> 00:22:12,920 Speaker 1: the technology that gives businesses the opportunity to do things 374 00:22:12,960 --> 00:22:17,400 Speaker 1: differently and to explore alternatives and build new solutions. It's 375 00:22:17,440 --> 00:22:20,800 Speaker 1: what lets engineers move the needle on metrics that might 376 00:22:20,840 --> 00:22:25,719 Speaker 1: have been static for decades, increasing efficiency, decreasing waste, and 377 00:22:25,760 --> 00:22:28,439 Speaker 1: giving employees the support they need to do their jobs 378 00:22:28,480 --> 00:22:32,520 Speaker 1: at the top of their abilities. Plus it gives Werner's 379 00:22:32,560 --> 00:22:35,920 Speaker 1: customers insight into their own business, which means over time, 380 00:22:36,400 --> 00:22:43,720 Speaker 1: we'll see a rising tide lift all boats. Be sure 381 00:22:43,720 --> 00:22:46,560 Speaker 1: to join us for more episodes of The Restless Ones. 382 00:22:46,880 --> 00:22:49,719 Speaker 1: We'll be talking with more incredible leaders about their approach 383 00:22:49,760 --> 00:22:54,040 Speaker 1: to leveraging technology and how this tech creates opportunities even 384 00:22:54,040 --> 00:22:57,639 Speaker 1: in places we never thought to look before. Until next time, 385 00:22:57,920 --> 00:23:01,199 Speaker 1: I'm Jonathan Strickland, and this is The Restless Ones