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Learning Without Scars

Learning Without Scars

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    Learning Without Scars
    S2 E45•November 17, 2022•1h 0m

    Debbie Frakes and Steve Clegg join us from Mexico to discuss the use of AI and dealer transaction data to forecast and manage the business through the boom-and-bust cycles in this industry through Winsby and Zintoro

    Send us Fan Mail (https://www.buzzsprout.com/1721145/fan_mail/new) Through the use of Winsby and Customer Satisfaction calls with Debbie and Zintoro and AI with Steve they have created an invaluable tool for us all to use. This Candid Conversation covers some amazing statistics and customer retention and the impact it has on profitability for a dealer. This is a conversation that should not be missed. Visit us at LearningWithoutScars.org (https://www.LearningWithoutScars.org) for more training solutions for Equipment Dealerships - Construction, Mining, Agriculture, Cranes, Trucks and Trailers. We provide comprehensive online learning programs for employees starting with an individualized skills assessment to a personalized employee development program designed for their skill level.

    Transcript

    0:21

    Aloha, and welcome to another Candid Conversation. Today we're doing something a little different. We're having a husband and wife team joining, and as long as we can keep everything peaceful, we should be able to have a pretty good discussion. Steve and Debbie Frakes are with us from Wimsby and Fintora and a series of other things who have had, in my view, they provide some of the most meaningful tools for dealers that's ever been out there. And I'd like to just talk about that for the next period of time and introduce it to you. And I hope that this is going to be the first of several discussions that we can have to expand on data analytics and telematics and all of the technology issues that are in front of us. So, Debbie? Debbie and Steve right now are in Mexico. I'm in Hawaii, and the rest of North America is freezing up north, so I feel sorry for you, but welcome, Debbie.

    1:27

    Thank you. Thanks for having us.

    1:31

    I don't know quite where to start this. Last night, we put up a blog about your forecasting model that protects us whether or not it's a boom or a bust. which is quite different than most people. Everybody's reactionary to it. Steve, maybe you can kick this off and address that issue. Why is forecasting, why can forecasting prepare us for either a boom or a bust?

    2:06

    I think you really can't plan unless you have a forecast. And unfortunately, most forecasts are revenue driven. They don't have a foundation. Your financial guy says, well, I want to grow 20%. Great. Put the numbers in and then the sales team is asked with finding the revenue to fill that void. And then everyone tries to play catch up to see if they can actually handle it. And either they overspend in anticipation of sales that never come or they underspend and can't actually handle the work that comes in. So they're reacting to the opportunity. So what we did is we built an AI model that for the last several years has been able to forecast with an accuracy above 95% for customers' transactions and ultimately revenue. Revenue tends to vary depending on the mix of equipment sales. But equipment sales only represent 1% to 2% of all transactions.

    3:13

    So while it's important from a revenue standpoint, it's not really relevant for engaging a customer and retaining them. Customer only knows you from the transactions and the experiences of each of those purchases. And the equipment, while it's important from a revenue standpoint, it doesn't determine whether you're going to retain that customer and engage them.

    3:39

    It's interesting, and let me just use jargon, AI is artificial intelligence, right?

    3:46

    Yes.

    3:47

    I wonder how many people actually realize that 1% to 2% of the transactions in their business are around equipment. I think there's a lot of folks who would be very surprised at that because they tend not to think of it that way, do they?

    4:02

    No. They think of it in terms of dollars. And dollars, you can't forecast. You can't forecast using revenue. That's an after-the-fact event. So that's unfortunately for most people. They take the counting data, which is always looking backwards, and they forecast from revenue. Then they spend their time explaining why their forecasts didn't materialize and making excuses of the weather or some other nonsense. Where if you turn that around and look at... Am I retaining the customers? Am I engaging them? And what's the pattern of purchase going forward? For the equipment industry, it's a one, two, four. If you can retain the customer, then they buy one time the first year, they'll buy twice the second year, they'll buy four times the third year. If you engage them, it'll go two, four, eight. So really all your growth is already, you already have all the customers that are actually going to provide the growth.

    5:07

    going forward and you'll get revenue pops from selling off used equipment or someone comes in wants to buy a big piece of equipment so you'll get a revenue surge from that but it's not the real business the core of the business is transactions and retention that's what drives the business and then what factors this is where the artificial intelligence comes in what factors you know impact that distance from your branch your competition What's your customer satisfaction score? Are you proactive with your customers or reactive? All these things are easily monitored. And most people don't, but it causes people to, it allows people to actually understand what's going to happen and then plan for that versus being a victim and reacting and always feeling like I can never get my arms around this.

    6:06

    I suspect that you're confronted with a lot of resistance because that is a real serious change in view. Am I overstating it?

    6:19

    No, it's a battle to get people to understand how business works because they're tasked with every day and they're hearing opinions and personalities and all this noise. and especially the industry where you've got seasonality pretty severe in lots of markets and cyclicality, it causes people to become reactionary. And once they become reactionary, they stop thinking. So if you're going to look, you have to look forward. And if you look forward, then you can plan. But if you can't look forward with the realistic picture of the future, you're just wasting your time. A lot of people waste a lot of time.

    7:07

    They get lost out there, don't they? And Debbie, you do this actually in person-to-person surveys too, don't you?

    7:15

    Yeah, we do. We do customer satisfaction surveys. And we point out any problems that people are having in their organization and also what they're doing well. People are, I think, because it's not the organization calling them. So they speak much more freely to us than they would to if, you know, if the dealer were calling them.

    7:41

    That's always true, isn't it? Surveys are innocent. Yeah.

    7:45

    And they're very open and they tell you exactly what, you know, what happened, what they liked, what they didn't like. And they appreciate it that they care and they're asking us to call. It's they really do. It's nice.

    7:58

    So it's a nice combination between the analytics, the artificial. The massive data we've got is rather astounding. The thing that bothers me on the data side is the accuracy of it, because we tend to move information around to satisfy whatever the metric is that we're looking for. The old joke is, you're spending too much on repair and maintenance this month. Oh, well, next month it'll be fine.

    8:27

    It'll be allocated to a different department.

    8:30

    Yeah, it's like the guy who comes back from a convention and he submits his expense account and the boss says, well, wait a second, what's this 10-gallon hat in here for 200 bucks? He said, no, I'll take it out. And three or four months later, he comes back to the boss and said, you find the hat yet? So back in the 80s, Harvard did a massive survey on retention across the industrial distribution world. And they wrote a book called The Service Profit Chain. I was really interested in your 1-2-4-2-4-8 because they definitely, for our industry, for the equipment world, if you can increase your customer retention by five percentage points, you will increase your net profit by over 50. Actually, it's 45%, but what I've seen is over 50%. Yeah. And that's any time confronted with that, people thought that's impossible. It's ridiculous. And yet it works every damn time.

    9:32

    The people that make the most money. And there's a small number that really know how to make money in the equipment industry, as you know. They understand this and they are able to, as we've talked about, you know, walk up an upturn and walk down a downturn. They're saving their money on an upturn and building their capital and choosing the customers that they'd like to have and getting rid of the customers that aren't really contributing. And then on the downturn, they have the resources then to take advantage of the drop in prices, picking up lines, picking up equipment and picking up the best people because you can't hire in an upturn. So it's just it's. But it takes patience. And it's also the understanding that it's three to five years to bring a customer on in this industry. If you're not willing to understand that, then it's always out there being pushed by the OEMs. Where's my sale? How come you haven't sold equipment?

    10:40

    Well, you can't sell equipment if you don't have a relationship. Yeah.

    10:45

    Yeah. Especially in this world. I think it's true everywhere. The equipment world is really a relationship business. Last week, one of the contributors at Royce Abrog for us, his name is David Jensen. He's got a master's in psychology, I think, or psychiatry. He was the HR boss for Sarah Lee. And his blog a couple of weeks ago was talking about employee engagement. And I'm dealing with the fact that on the downturn, you can get the best people. The employee engagement, Gallup did a study early this year. that said 20% of your employees, I'm using round numbers, are engaged and are making a difference. And they're excited and they're doing all kinds of stuff. There's another 20% that don't want to be here. They're not doing anything. They're just, to quote one of the guys I work with, they're just taking oxygen out of the room. So we got 60% of the people in the middle that can go either way, depending on who their leader is.

    11:53

    And leadership has become a real serious issue today, more than I've ever seen. And people tell me more than has been written about. And that's confronting the change you're talking about. Data analytics, artificial intelligence, telematics, sensors and equipment, all of the technology. And it's so far ahead of where we are at. In fact, it's kind of scary. And the older generations, my age, put you folks in a much younger category, but the older generation, I'm being nice today, Steve.

    12:29

    Thank you. You're welcome. Let me just put my cane over on this side. Yeah, that's great.

    12:35

    I took a minor in computer science in the 60s, which means I'm a real dinosaur. I learned how to wire unit record equipment. I ran software companies. And somewhere in the late 80s, I decided I couldn't keep up anymore. It was impossible. The rate of change was too much for me to keep up. And I'm probably very common for my generation, the younger generation, my granddaughter, my God, she can run circles around me. She's 21 years old and telling me how to work with the cloud. My goodness, it's amazing. So here comes artificial intelligence and your algorithm and your forecasting model. You give it to smart people and their eyes glaze over all that.

    13:19

    I don't think they believe it. And when we originally started this, it started with the customer satisfaction. I'd built models to buy companies. So automating that whole process of evaluating whether a business could be purchased and afford to carry the debt, financially playing around with that. But again, it was spending a lot of time explaining why my forecast was wrong. versus why it was right. But then when the paper came out on the net promoter score, the professor, I can't remember his name, from Harvard, they wrote in the paper, we got a copy, we had a client. And so we looked at that and they said, well, there's 79% correlation with a company's ability to grow based on the score. Then they'd looked at 14,000 companies to come up with that number. So we had been tracking retention rates. So we said, well, is there a correlation with retention? Because retention to us was a bigger factor than the growth rate.

    14:28

    Because it was a core value versus the growth rate's a symptom. The core value is your customer retention. And we found out it was a 90% correlation. So we could forecast the next four to six months on retention with a high degree of accuracy. But then we found out that if we could add the comment, if they give a negative comment, we could increase that accuracy up to 96% for the next four to six months on retention of that customer and other customers.

    15:02

    So the negative comment, it's kind of antithetical. The negative comment, it turns out to be a positive influence.

    15:13

    Negative comment, if they give a negative comment, Even if they give you a zero to 10, they give you a nine. If they give you a nine with a positive comment, your loss rate in the next 12 months will be 12% of customers. If they give you a negative comment, it goes to about 27% loss rate in the next 12 months, even though they gave you a nine.

    15:40

    And Debbie, you're able to get those negative comments given to you because you're innocent. when you're doing the survey as opposed to the company calling themselves.

    15:50

    Yeah, but also what we do if we hear a negative comment or get a negative score is we'll let the company know right away. We find if they contact the person and say, oh, gee, I'm so sorry, I didn't realize, it's fine. It has no impact. But if they don't do anything, then it does have the negative impact.

    16:14

    So if they intervene, they neutralize the situation.

    16:18

    They neutralize it.

    16:20

    Because they care.

    16:21

    They care. That's right. And Steve, you're not just doing this in the construction world. You're doing this in other industries, correct?

    16:26

    We're doing it for packaging industry. We're doing it for the waste industry. A whole bunch of manufacturers. It all holds true.

    16:37

    And the variation on the statistics isn't that great? No. See, that's the part that I'm sure confuses. Like statistics was one of my majors, and I love this stuff. And that makes me a real weirdo. But statistics are powerful things. You know, it's the old joke, fools make numbers and numbers make liars or whatever the hell that expression is. But if you've got the data, and this is where I was making the comment a little while ago, the quality of the data becomes problematic. If it's sales transactions, that's pretty clean because the customer is going to pay. If it's cost side of things, cost of sales varies. So you're dealing with the number of transactions, not driving it by revenue, and you're not driving it by margin. It's just transaction purity.

    17:30

    Yeah. If you look at your margin contribution, just looking at a straight invoice, you know what it costs you for whatever you sold. Forget about the accounting after the fact and the personalities reallocating, allocating, whatever.

    17:46

    Right.

    17:47

    Making the numbers, you know, classic. I'm a good accountant because I give you what you want. This way, then I really tried to get people to move off of cost accounting because statistically, most of the things that you're spending money on are going to be you're going to spend the same amount of money. next month. And your ability to make adjustments is not something you can do overnight, especially if it's people intensive. So your costs for, you know, like a dealer, their cost of overhead of a branch, the heating, you know, the everything else related to it isn't going to change. So what you can do then is look at what's the contribution. And then you can look at, are you, you know, are you generating?

    18:40

    the profit that you need to make and this is why the cost accounting distorts people's perception and it's like pricing for parts i mean ron you've done this repeatedly also but for parts what only the only thing that matters is your trigger items and your high frequency items and the solution to that is a good better best pricing model and everything else can be priced full margin And if you don't believe it, take a look at Granger and take a look at their 43% gross margin that they have. And they are two steps removed from where everyone else is. And they're making 43%.

    19:24

    Genuine parts is another example. Napa, the people that own Napa,38% plus gross margin. And they have nothing that is unique.

    19:35

    Nothing.

    19:37

    They don't have any proprietary product. Nothing. And Granger is the same way. Syntas is another one.

    19:45

    If you look at office products like Staples when they were public, the drivers, the only drivers they had, because it represented 86% of the decision to purchase, was copy paper and toner. So they had a good, better, best. They featured the good copy paper because 86% of the decision to buy office products was driven by copy paper and toner. So they didn't have to worry about anything else. Everything else was, oh, I need that. I need pens. I need folders. And it's like going to the grocery stores. It's eggs, bread, and milk.

    20:26

    Yeah, it's the old story of 7-Eleven. They go in there for the convenience of cigarettes, and well, I ran out of milk, and you don't want to spend the price of a quart of milk at a 7-Eleven. How influential, thinking about staples and the paper toner, et cetera, how much of their in-store, their displays, the selling off the floor is influenced by good, better, best pricing? Is it or not? It

    21:01

    is. What you want to do on your end caps, I mean, having been involved in retail, your big money is in your visible end caps. So that's where you're putting, it's like Sears Roebuck. And, you know, they had a good, better, best for washing machines. The good was, you know, bolted to the floor. And if anybody sold a good washing machine, they were fired. Because people come in on the price, but they'll buy their preferences. Only 20% really buy on price. Everyone else is going to buy on quality. So they'll buy the better and best. And on that, you can get a full margin.

    21:43

    John Deere tried that with undercarriage. For a long number of decades, they had arguably the best undercarriage out there, Duratrax. But the dealers didn't get any market share with it. And then they made a deal with the Italians. And so they had two products, a high price and a low price. The only thing that changed in that circumstance is the revenue dollars went down by the price difference. Didn't change the market share at all. Just changed what they sold. Because the seller was a price point person. And how do we overcome that one?

    22:22

    We track this by monitoring all the phone calls. And what's interesting, the parts department, you can listen to 1,000 phone calls. And only 4% of the time does price come up. And most of the time it's brought up by the parts guy going, don't you want to know the price? Or let me tell you what the price is. It's pretty expensive. Or giving their opinions. And the response generally is not, oh, thank you for that information. It's like, number one was, do you have it? Number two is, when can I get it? And if I'm unhappy with the price, I'm sure I'll tell you about it after the fact. Get me the part. Yeah.

    23:06

    Yeah. And partially the deal from my perspective is, have you got it? Sometimes how much is it and how long do I have to wait here to get it? Same thing in labor. It's remarkable. I used to tell you that price and time were the two pressure points that the customer would put on a dealer employee and the dealer employee wasn't prepared. You know, the customer says to a guy on the counter, if they do bring up price, damn, that's expensive. I always used to say, compared to what? And so all of a sudden, the customer's on their heels or, well, what'd you expect? That's something else that puts them on their heels. We're the best after all. That's why you're talking to me. And most of the folks that are in there have never had any training on this. They don't know how to deal with it. Oh, you must be right.

    23:58

    We track just the yes. You always say yes. Then it becomes. yes, I can get it for you. Then they'll go, when can you get it? Well, I can get to next year. And if they do ask price, it's going to cost you a million dollars. But if I can say yes, that's a 74% close rate versus if I say anything like I'm going to have to order that or anything negative, it's a 14% close rate, even though the circumstances haven't changed.

    24:31

    Isn't it remarkable? I wrote a blog a couple, three months ago, but, you know, my philosophy in life anymore is all somebody asks for something. I say, sure, I can do that. It confuses the hell out of everybody, you know. You know, somebody's going to ask me a question one of these days, and I'm going to say yes, and they say, okay, go do it now. Let's see. All that number, catch my bluff. But, you know, when... You know, Debbie, Steve just spouts statistics because he's got all of that around. But it's intriguing to me that it was predicated on buying companies to try and minimize the mistakes. And now you're talking money. You don't want to buy something that's going to cause you to lose money. Dealers, when a customer stops doing business with them today, most of them don't know that's happening, number one, unless they use your tools. And it goes on and on and on. So the characteristic with the customer is I stopped buying. Nobody called me.

    25:36

    They don't care. Right.

    25:38

    Right.

    25:40

    And if only we told people what you're doing, they haven't bought anything for the last week or two or four or whatever that gap is based on their previous life. Statistics says that the closer the last two events are, the higher the probability of a future event. That's been true since the beginning of time.

    26:02

    Exponentially increases every month that goes by. Your loss of that customer exponentially increases.

    26:09

    And that is statistically true, yet nobody seems to want to engage. You guys do. I think your customers do now. But I don't think it's intuitive. It's counterintuitive to most people.

    26:24

    You see that

    26:25

    in the surveys. Customers tell you anything that you want to ask, anything you want to know, they'll share.

    26:33

    Yeah, they're happy to.

    26:36

    And get the same response.

    26:40

    Debbie does the benchmark surveys for a lot of the manufacturers in different industries. And it really is what their expectations. A lot of times people don't find out what the expectations are. If you don't understand that, then you can't proactively manage the relationship. So for the equipment industry, the expectation, depending on where you are, is I'm going to get these parts in the next 24 hours. Well, it turns out 92% of the time they do.

    27:13

    Yeah.

    27:14

    And 8% of the time they don't. But for that 8% that they're not getting the parts, even if I told them you're going to get it next week. Within 24 hours to 48 hours, you're calling me up and saying, where's my part? I tell them every time, you're an idiot. I told you it was going to be next week, and that goes over really well. Repeat business. You got to tell them before they call you.

    27:41

    Yeah. One of the rules I used to employ was, we will get back to every customer the same day they place the order and tell them where we have found the part. then we can have a discussion about how they want to receive it, how they want to get it. Is it fast by air? Is it by boat? Do you want to go by Morocco or what? The next day or the day after I'm supposed to get it there and it doesn't, my boss is going to call. We just take it up. And I modeled that on IBM. They had a thing called an alert chart. And they were pretty clever about how they did it. Computers going down in the 60s, when you've got batch computers and there's nothing but this one monolithic thing doing your payroll, for instance, and I've been there. And it didn't put out the checks this week. You got a problem, Charlie. And IBM had a stance that was kind of interesting. When things go bad, they said, fill the sky with planes. So I had two computers running a dealership.

    28:40

    They were both down at the same time. I had every publishing company in Canada. in the meeting room next door. And there were about 20 guys in the room, gals and guys, mostly guys though, Debbie.

    28:53

    I imagine.

    28:54

    I stood on the desk and I said, okay, which of you folks stick your hands up if you are here and able to fix anything? And three people stuck their hand up. I said, the rest of you get the hell out of here. They were just causing problems. And it's the same damn thing, Steve. It's going to be here in a week. I told you. And they keep coming back. Oh, that's right. I forgot. So now we've got an education process with the customer as well, getting them to trust what we say because they don't today.

    29:27

    But also proactively keeping them informed. You call them before they call you. And that's really the big complaint. It's never price. People always say it's price, but the price comes up. You didn't get it to me when you said you're going to get it to me. You got to me three months later. Why am I paying you anything? Why aren't you paying me?

    29:48

    Yeah.

    29:49

    So they categorize its price.

    29:52

    Yeah, I've always said price is only important when everything else in the transaction is identical. You made an interesting comment, though, that it was all based on expectations. And customer service, to me, is a function of expectations and perceptions. The customer has an expectation coming into the transaction with you. They know what that is. Typically, we don't. Right. And they have a perception of how they received or what they received. And they own that one, too. And unless we ask, we're never going to know. Customers, you know, it's the same deal.

    30:26

    That's why Debbie does the benchmarks periodically for a lot of different industries, because the expectations have changed, just like you were talking about. It used to be people in parts of the country would say, well, my expectation is I'm not going to get that part for a week. But today, because of Amazon and others. They're expecting it tomorrow. And in LA, they expect it within probably four hours. They almost treat themselves as if they're a car on dealership where you got a truck roving around delivering parts for the jobs that are on your base.

    31:06

    So let's shift gears here for a second. Market share is important, true or false?

    31:18

    Customer market share is important.

    31:21

    Okay. Define that for me so that we're on the same page.

    31:26

    Customer market share is there are 10 people that buy equipment in my market. How many of them are my customer?

    31:37

    Okay. So unit transactions of machinery is the same thing. True or false?

    31:46

    The transactions are a result of the customer, not the transactions dictate the customer.

    31:53

    Again, that's a position that is alien to the thinking of this industry.

    32:02

    We just set that up for one of the equipment dealers, getting them to incorporate what's your market share when it comes to customers, because customers may be buying used equipment, they may be buying parts and service, but the customer in that industry. is your market share. And you also have to look at it. What industries are you serving? It's great that someone says, oh, I got 100 lawnmowers sold. And you go, well, we've got a hand lawnmower and we're not really in that market. But the manufacturer goes, you could have been selling that. But no, I don't have any customers that buy lawnmowers. So a lot of this is a manufacturing, you know. wanting to keep their plants busy and push equipment out. A dealer is selling to what the customers are looking for in demand and supporting them. And the equipment purchases and the parts purchases will all be a result of maintaining and engaging those customers.

    33:05

    And we seem to be starting to move the customer closer to the manufacturer and further from the dealer. National accounts, large industries, those types of things. Are you seeing that as well?

    33:18

    We're seeing that just because of the efficiency of delivery, but because of the support required. A lot of it is application support, like how do I use this machine? I don't have somebody that's trained on it. So if you look at Europe, you've got a lot of people that are shackled to their machine. So when you have a machine, you've got the guy with it. So I think the model will change as time goes by. but the simplicity of the electronic simplicity of operating, whether it's a dozer or some of these large trucks, the AI, the artificial intelligence that can run and assist reduces the skill level required to operate the machine. No

    34:06

    question. Yeah. That model you're talking about back when I started in the industry 100 years ago, the French dealer in France, Bergerac Mobile. They had one technician in the field for every between 10 and 20 machines, depending on work conditions. And their market control was phenomenal. It was almost impossible for anybody else to break into it. And then, you know, over time, education changes, MBA programs, a financial architect came in and changed that model. Profitability sank for a couple of three years, and it's hard like hell to get things back when it changes momentum. Of course, the guy was fired, but there was a whole bunch of people that were the penalty in the penalty box. That's the dilemma. You've already mentioned the financial statements. That's a look backwards. It used to drive me crazy. I ran a data processing department for a while at a cat dealer, and we put financial statements out every day.

    35:12

    And they said, you can't do that. How can you do that? They said, well, you can put out invoices every day. Why can't I do that? Well, we've got all of these allocations. Well, forget the allocation. How much did you spend? That's all I was interested in. And boy, I had a bunch of it. It's like in the consulting world. You go into an operation, you have a big Klieg light, a big flashlight, and you put the light in the corner and you watch where the rats go running. It's amazing. So here's statistics. that are hard like hell to fight. Reagan said it. Facts are awfully stubborn things. And so now the onus is on the performance of the individual. And that is, I think, fundamentally what's in our way in many regards. I don't want to be accountable.

    35:59

    Yeah, you've also got, if you're talking about there's 20% of people are actually doing stuff and the rest of them are following. So organizations require people. There's a, you know, we've been a, We've talked about this a little bit, but the right type of person is somebody you can throw in there and they learn as they go and apply the knowledge and continually improve it. And those people are invaluable for the viability of a business. And a lot of times they're not recognized and yet they're critical. If you look around, you'll find that handful of people that everyone goes to to get stuff done, no matter what the task is. Right. And so it's identifying the people that really make and rewarding them that actually make the business work. But a lot of people, when we've done benchmark surveys with technicians, their biggest complaint is seniority, where they get in there, they master a whole bunch of things.

    37:04

    And it's not how much they're being paid. They just want to have the opportunity if they're capable of doing that and get paid. irregardless of who else is working there. If they're the best, recognize it. And I think that's always been true.

    37:20

    I think so too. I worked with a John Derr dealer on the West Coast a long time ago. And they wanted to find an objective way of evaluating the skills of the people, technicians. So I built a questionnaire that the technician was going to fill in on themselves. So it was 15 or 20 pages, I don't know, six or eight points on a page. So it was a reasonably comprehensive circumstance. And I scored them by different engine transmission, blah, blah. So we've got that. Then I got together with the management and said, okay, fine. Give me the payroll for these same people. Got that. Then we had the management come in and say, okay, fine. Who are your best guys? And we made three different lists. There was zero correlation. Now, I wasn't surprised, and at the end of the day, they weren't either. But isn't that a horrible thing to say?

    38:21

    Well, we did the same thing with dealers. They're one of the big manufacturers. We looked at all their dealers. This is really entertaining. And we said, we asked everybody, once we had the list, who your best dealers were. And this is the management of the manufacturing company on down. And they all were giving the very worst dealers on our evaluation of who made a good dealer. And a good dealer from our standpoint was, are they selling machines? Are they selling parts? Did they have their warranty claims under control? And, you know, so you can look at, are they really making a contribution as a dealer? What came from this was that their perception of the best dealers were the ones that warranty was totally out of control. Every transaction was a negotiation because they had to give a better price to their customers. The dealers that did that tended to have their select group of customers. They really weren't selling to the whole market.

    39:32

    They were selling to their favorites. Just the horrible. The worst dealers in there buying aftermarket parts weren't buying anywhere near the OEM parts that you'd expect with the number of machines they had outstanding. But from a perception standpoint, people misread who really is doing the work.

    39:56

    It's interesting to bring that up because for the last 40 or 50 years, metrics have become kind of... the gospel. And here's the metrics we should go by. And in the last little while, consulting companies, Kinsey and Accenture and the big boys, are starting to receive criticism because they're starting to deal vanilla. It's the same thing over and over and over again. There's nothing new. There's nothing changed. And the world is changing very quickly. So these metrics that we've been driving on all this time, and you looked at it,1-2-4,2-4-8, just Those two sets of metrics, if that's all we did, that'd be wonderful because the results would be there, right?

    40:48

    Right.

    40:51

    And you can prove it with, you can create the model with AI using the dealer's data, transaction data, not financial, transaction data. Debbie cross-checks it and follows through and ensures that there's traction on implementation. And that combination is powerful as hell.

    41:13

    And just like, as we said, a calling program and an email, and Debbie runs that out of Winsby, the return is in the thousands for every dollar spent. It's not, it's, it's nothing else compares. So it's like, why wouldn't you do it?

    41:33

    And all of the companies, Debbie, that Steve gives you the analytics for. How many of them sign up for the surveys? The majority or not?

    41:45

    Yeah, most people do the surveys as well. They're doing both.

    41:51

    Has anybody who started with the survey stopped them? No. Has anybody, Steve, who started with the forecasting stopped them?

    42:01

    No. So, you know, I'll take it at that. We had one. The guys that were running the operation all got promoted in this large corporation. And then this guy steps in to take it over, who's the sales guy. And so he stops it, calls me up and says, yeah, I know everybody. I know everybody that's out there that really buys. We don't need any of this stuff. And you're just going. Okay, well, we'll see who replaces you in the next six to 12 months.

    42:39

    Yeah, it's kind of interesting. A number of times, I don't know if you've heard this, I'm sure you have, but a number of times the dealer principal tells me it's the shingle that sells nothing else. And this is a people business. It's a relationship business. If you don't have the people, you've got nothing. And Steve, as you say, I was talking to the president of Troy University. I think I mentioned this to Debbie. Jack Hawkins is his name. he's got a remarkable history and track record. And I said, okay, fine. What are the challenges you're seeing from kids coming out of high school into college? And he rattled off three things, critical thinking, analytical thinking, and communications. And I said, well, that's not curriculum-based. That's not history, reading, writing, arithmetic. He said, no. What we seem to have developed is we're teaching people to tests. We're not teaching people to think.

    43:41

    He said, what's more problematic in my mind, him talking to me, is I don't see leadership skills anymore, anywhere. And one of the large health care companies in America asked him to put on a program for his folks at a convention. I think there were 2,000 people. in management that were coming. And he wanted a leadership training program put together. So he put the program together. They went down, had a day, and out of the 2,000,1,200 people signed up. So the owner of the company was really pleased. This is great. A month goes by, less than 100 people that had signed up out of that 1,200 had actually done anything. And that's something I see or used to see a lot in our classes. They would leave a class. They go back to work. The first couple of days, they're catching up with the stuff they did. They missed while they were away. Same gig on vacations. So two or three days go by. And now they've got to sit.

    44:46

    If they have a break in the action, they've got to sit and say, OK, what was it that I wanted to do that was going to be different? And the probability of anything happening was low. And the education model now, they're saying, remember the old 50-minute lecture? They don't want 50-minute lectures anymore. They want 10-minute. pieces, blocks, with a quiz, with the technology in the classroom. We can hold up a phone. We've got laptops. So the professor's putting a quiz question up on the screen and everybody's answering. So we did that to all of our classes. The first time, the first 10 or 12 minute quiz, a third to a half of the people got the answer right. The second time,10 or 12 or 15 minutes later, a half to two thirds. The third time on, it was well in the 90s. Because all of a sudden, people knew, damn it, they're going to check on me.

    45:41

    Even in

    45:43

    a conversation, we tune in and tune out. We check in and check out. I didn't miss anything. And I go back to wherever the heck my mind wandered to. Do you ever get anything like that from a customer that the dealer isn't really engaging with me?

    46:00

    I think that that's the nature of the industry. It's so reactive. Every meeting you have, they're being barged in on if they're in any type of leadership role. And the guys that take responsibility end up having even more people coming to their door. So it almost dummies down their capability to think forward because if they grab hold and be responsible, they end up owning a lot and get blamed for a lot.

    46:30

    Yeah. Yeah, and that goes back to your point of your surveys that Debbie was doing for who's the best dealer. The story of Gerstner going into IBM, and he has his first meeting with all of the executives, and he asked them to, who are your top three customers? And nobody could give it to him. So the meeting broke up very quickly, and it was reconvened a week later, and everybody gave him their top three customers, and then he disappeared and went out and visited every one of the customers. There was a commercial on television years ago in the same, you know, we're losing our business, we're losing our customers, and here's the guys I want you to go see, and this is the guy I'm going to go see. I'm the president. Blackie was out with customers all the time. Leaders do that.

    47:19

    When we did the dealer analysis, the reason why they didn't like the dealers that were their top dealers is they were the most vocal. I said, those guys bitch all the time. If I could get rid of those guys, I would. And you're just going, no, they're your top dealer. And you're talking about, you got to listen to them. You don't turn them off because you got somebody else who's blowing smoke up your rear.

    47:48

    I always was interested in the troublemaker because those folks tended to think about the world differently than the rest of the room. And if you pay attention to the troublemaker, it's amazing how much that's the same people you're talking about, Steve. They cause me trouble. There's aggravation. They push back. They want better. That's the folks we want to pay attention to.

    48:11

    We've been asked to validate a game that academics have been using to evaluate whether a student will complete a course and go on and get a job and own a job. And it's just a simple game. It takes like 10 minutes. And so they've come to us and want us to evaluate whether this is a functional way of determining whether a salesman or a branch manager or a department manager. Can we differentiate based upon their scores? So I think a lot of people are beginning to think in terms of what potentially is out there to get the right people in the right spots. But what's interesting about it. the AI being able to track someone's game performance to determine how successful they're going to be going forward is kind of a novel way of approaching this whole issue.

    49:12

    Yeah, David Jensen, the fellow I mentioned a little while ago, he lives in Mexico now, but he was one of the founders of Personnalysis. And you have too, but I've been involved with a lot of personality profiling products. Myers-Briggs and all the rest. And what personalysis does is they, their questions are, what do you least like? The flip of everything. What do you like? Everybody knows that that's easy. And after a while it goes. And I'll give you an example. I worked in a lockup in a prison when I first came out of university and I was trained on how to do that for treatment programs for people. So I had a Caterpillar dealer in Nebraska, a former Caterpillar dealer in Nebraska, wanted me to do some consulting work with them. And they wanted me to fill out this form. I said, that's cool. Just as long as you share the results with me. So we did it. And I worked with them for about a year and a half.

    50:08

    And he said, you know, I've got this other project I want to get done. You don't fit the profile. Do you know anybody that will do this? And I said, well, tell me what you're looking for. And he did. And I said, OK, send me the form. I sent it back to him, and he called me almost instantly. He said, how the hell do you do that? I said, what? He said, you fit exactly the profile I was looking for. I said, well, that's the problem with profiles, isn't it? You can't overlook, you can't avoid the discussion eyeball to eyeball, whether it's in this rectangular Zoom meeting or face-to-face in a coffee shop or whatever it is. That's the real test, isn't it? And that's the survey, Debbie. where the customer can be honest with you because you're innocent. You don't have a vested interest anywhere. So they tell you the truth.

    51:00

    Yeah. And most people will tell you the truth if you ask them. But if it's somebody you're dealing with, they're not as likely to tell you the truth because we're taught to be nice and to be polite and to be kind. We're not. Unless you live in New York and then you are. But otherwise, no.

    51:22

    New York's got a personality all of its own. I agree. But, you know, from Kansas to New York, that's quite a transition, kid. Yeah.

    51:32

    You'll learn.

    51:34

    Where do you see the industry going, Steve? With electrification, with all of the technology, with the difficulty in finding talented people, I suspect it's going to be more data analytics than less.

    51:50

    That's going to be more data analytics, and it's also going to be monitoring electronically the machines because they're all going to be battery driven or battery assisted. So you've got a motor on engine on top, topping off your battery, not driving the vehicle. And once you do that, then it's communication and then having it. If it requires a human intervention, it's making that moment. is successful as possible arriving with the right parts at the right time with the person who knows what they're doing if they don't know having the ability to research it on the job and fix it so we've been telling dealers that we work with they have to start thinking in terms of expanding their equipment that they're servicing to things like batteries turbines, things that are going to generate electricity and going just beyond the equipment. And their expertise is going to be parts and service and being available because of their proximity to the customer.

    53:08

    It's just they're going to have to have a broader reach.

    53:11

    Mike Rowe in Dirty Jobs. There's a story of a man who had a heart attack. He needs a surgeon. There's one surgeon available. He's 100 miles away at his country cottage. And we make the call. And the guy says, okay, I'll come in and get it done. I can be there in about three hours. But halfway on the drive, his car breaks down. He's got the best car you could possibly have, but the car breaks down. He gets out of the car and he starts calling. A mechanic is found. The mechanic comes, fixes the car in 15 minutes because he brought the parts. He came on time, knew how to identify the problem, fix the problem, and off he went. Surgeon gets there, the operation is a success. Who do you thank? The mechanic or the surgeon?

    54:03

    And, you know, having the right part at the right time with the right person able to do it, that's going to become more and more and being involved with that machine because it's going to be electric and it's a different world with electric. Parts and service is not what it is today. That's why I think we're going to services, not things. But that's a heck of a transition. I don't know how many of the dealers that we have on the planet today in every industry are going to make it because they all live off parts and service.

    54:35

    It's going to be a challenge. And also, it changes the nature of the length of life of the equipment. It will be much longer. Once you just have that platform, it's strictly where parts and that can be replaced.

    54:51

    Yeah, one of the interesting things, Ed Gordon, another fellow that he's from your neck of the woods and used to teach at Northwestern at the University of Chicago. He's got a couple of PhDs. He's hateful. He's so smart. And he says by the year 2030,50% of the American workforce, and he put a number on that,80 million people will not have the skills to be employable. So in this really optimistic. point. Society isn't ready for that either. Yeah.

    55:20

    I mean, you had the same transition in agriculture. Once you industrialized agriculture, you went from some crazy percentage of 60,70 percent of the population was involved in agriculture. It's down to less than three. Yeah. Yeah. The bulk of it happened quickly.

    55:36

    Yeah, it really did. That's the 19... 1800s to 1900s transition, it's pretty shocking. And the same thing was true with production lines pre-1950 and post-1950 with automation and robotics. And now with data analytics and technology, I think it'll be even more extreme.

    55:58

    It's also the destruction of middle management because a lot of the information, just like you're talking about having parts available, direct from the manufacturer. on demand, which is where Ford's going, you're going to end up having a very thin layer of people that are on the job. And on the job is I'm dealing with the customer at that point of contact because the need for layers and layers of people to supervise layers and layers of other people will disappear.

    56:30

    Yeah. And not just that. I think the learning, the skills that we get out of the traditional education model, that when we went to university, hopefully this is a fair statement, that the skills that we received were able to take us through our whole career. I don't think the skills that you receive in education today are going to last much longer than 10 or 20 years. Things are changing so quickly. So we're going to be going back to re-educating the workforce.

    56:57

    I think people have to accept the fact that they're always going to be in a position of having to learn. And unfortunately, what I'm seeing is that because of the tools that people have, it's cut back on their ability to think. Yeah. Because, you know, they don't have to know how a telephone works or how a handheld calculator works. It just works. And so they're totally out of their element if any of those things fail.

    57:27

    That's right. What do I do now? Well, I suspect I've taken longer of your day than I should have done, but I really appreciate the chat and the time. And Debbie, you can go back up to the roof and get in the water and see if he does it.

    57:43

    Thanks, Ron.

    57:44

    Any closing comments you want to put on this to make it a wrap?

    57:52

    I think that the future is going to be challenging for everybody, but it's probably one of the most exciting times for anyone to be alive. This is a wonderful time. A wonderful time for opportunity is just being willing to step out. and accept the fact that change is around you and how do you adapt to it and take advantage of it.

    58:15

    Debbie, you got any thoughts on that that you could put up?

    58:20

    Completely agree. Yeah. And just tell the truth. You know, it's a lot easier that way.

    58:25

    Yeah. I can't tell lies because I don't have a good enough memory to remember them all. But to put up, you know, my vernacular on what Steve just said, when I was in software development and putting systems together. It always used to, I used to characterize the user as having galloping diarrhea because whatever the heck it is that I gave them, I said, oh, that's great. But can you do this? Because there's always more.

    58:54

    Never know.

    58:55

    Get into the mode that we are always thinking that there's more, that lifelong learning thing you're talking about, Steve, will become a reality. I think that's good for mankind.

    59:05

    I do too.

    59:05

    And you're right. It's exciting as hell. It's reading all the stuff you can do today. It was, you know, Buck Jones or, you know, all of this stuff. Carl Sagan is closing videos, is taken from space, going away from the planet Earth. As the planet Earth gets smaller and smaller and smaller and how we realize we're just a little microcosm here. Thank you both. Gracias.

    59:30

    Thank you.

    59:31

    Have a great day. I appreciate it. Thank you, everybody, who listened to this, and we hope you got something from it and look forward to being with you at another Candid Conversation in the near future. Mahalo. Thank you for listening to our podcast. We appreciate your support. Should you have any thoughts or comments, please don't hesitate to contact us at www. learningwithoutscars. com. The time is now. Mahalo.

    Debbie Frakes and Steve Clegg join us from Mexico to discuss the use of AI and dealer transaction data to forecast and manage the business through the boom-and-bust cycles in this industry through Winsby and Zintoro

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