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Speaker 1: Ron An Aian four flexes are kind of a weird GIF,

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Speaker 1: aren't they.

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Speaker 2: They you look at it, they look like a call

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Speaker 2: from with four wheels. So that's square body fin In

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Speaker 2: just transluck us a phone the car Doctor.

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Speaker 3: I don't mind getting an oil change every six months.

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Speaker 3: I just work there. If somebody tell me I was

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Speaker 3: gone to beleeve that, No.

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Speaker 2: I don't think you are at all. I think you're smart.

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Speaker 4: Welcome to the radio home of ron Anian the Car Doctor.

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Speaker 4: Since nineteen ninety one. This is where car owners the

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Speaker 4: world overturned to for their definitive opinion on automotive repair.

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Speaker 4: If your mechanics giving you a busy signal, pick up

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Speaker 4: a phone and call in the garage doors are open,

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Speaker 4: but I am here to.

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Speaker 1: Take your call at eight five five five, ninety nine.

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Speaker 4: Hundred and now pee running.

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Speaker 1: Hey, hey, welcome to another great hour of Car Doctor radio,

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Speaker 1: and we thank you for joining us this hour.

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Speaker 2: You will not be disappointed.

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Speaker 1: There's a lot of information out there when it comes

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Speaker 1: to dealing with mobiles. We know that there's information about

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Speaker 1: what's going on, what's new, there's information about how to

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Speaker 1: repair them, and the coming trends and the changes, and

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Speaker 1: it just seems probably by the time I get done

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Speaker 1: with this conversation, another five thousand pages of information will

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Speaker 1: have to be printed or digitized or brought to market

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Speaker 1: and be in every evolving, every changing industry. That's what

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Speaker 1: this is about. This hour, we're going to sit down

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Speaker 1: with President Satwinder Mangot. He's the President of All Data.

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Speaker 1: We've never talked to a president before, so we're kind

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Speaker 1: of excited. We've had a lot of people on the show,

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Speaker 1: but we've never had a president, so this is a

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Speaker 1: big deal for us. We're very excited to have him.

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Speaker 1: Is taking time out of his busy weekend and we're

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Speaker 1: glad to have him here with us today. Satwinder, Welcome

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Speaker 1: to the Car Doctor. We're so happy and proud to

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Speaker 1: be with you today.

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Speaker 3: Thank you Ron and appreciate you bringing me on the

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Speaker 3: phone and also the great to be part of the show.

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Speaker 1: Well, we're so happy you were at SEEMA recently. I'm

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Speaker 1: going to dive right into it if I can, because

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Speaker 1: you know, there's a lot I want to talk about

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Speaker 1: with you. You were at SEEMA at the show just

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Speaker 1: this past November and Umber twenty two, and you had

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Speaker 1: some really great comments and insight, truth be told.

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Speaker 2: I got the idea for this by.

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Speaker 1: Reading, you know, the all data news copy that I

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Speaker 1: get every month and just your thoughts. You know, I'd

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Speaker 1: like to just go through the article itself, if that's

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Speaker 1: okay with you, and if there's anything you'd like to add,

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Speaker 1: of course, But you know, right off the beat, somebody

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Speaker 1: had asked you what your key takeaways were from the

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Speaker 1: twenty twenty two SEMA show. Can you can you highlight

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Speaker 1: that for the listeners?

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Speaker 3: Yeah, definitely, Ronnie, I think, Ronnie ron We attend the

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Speaker 3: SEMA every single year. Last two years we didn't go

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Speaker 3: there because of the COVID pandemic situation. So this time

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Speaker 3: means that we have a booth. We usually have a

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Speaker 3: good boot. It's a selling show for us. We sell

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Speaker 3: a lot of products during the show. But what I

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Speaker 3: saw watching that SEEMA walking around talking to customers, talking

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Speaker 3: to the car owners and turists who are looking for

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Speaker 3: the new designs, that it's else like that we are

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Speaker 3: back to pre pandemic level. There was a lot of excitement,

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Speaker 3: a lot of new car designs. Attendance was also I

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Speaker 3: believed in one hundred thirty five thousand, or close to

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Speaker 3: maybe twenty thirty percent more than last year. But looking

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Speaker 3: into I think more excitement to me was that there's

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Speaker 3: so much innovation going on in the industry, whether it's

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Speaker 3: looking at the car designs, whether looking at the new

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Speaker 3: technology is coming in. So I feel like our industry

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Speaker 3: is booming. Our industry is in a good place where

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Speaker 3: the new innovation coming from, and all things were good

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Speaker 3: when you look at the industry auto, aftermarket and also

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Speaker 3: the car. When you look at the car, I look

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Speaker 3: at car as the If you think of this that

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Speaker 3: this may be the second most expensive transaction that the

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Speaker 3: person is going to do after the house. Right now.

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Speaker 3: There can be plenty of other ones too, right, but

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Speaker 3: most of them will be the second biggest one. So

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Speaker 3: it's pretty interesting for everybody to look at their cars.

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Speaker 3: What it provides. It's not only a mobility tool. Now,

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Speaker 3: it's not only the like a vehicle that takes you

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Speaker 3: from A to B, but it's becoming much more than that.

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Speaker 1: Well, it's a major investment, right, I mean, you can

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Speaker 1: spend one hundred thousand dollars on a car today without

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Speaker 1: even trying. You know, it's not impossible, and you know

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Speaker 1: they say exactly in that order house, car and kids,

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Speaker 1: and kids are slowly with the price of a college education.

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Speaker 1: I think kids are sort of nosing out cars in

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Speaker 1: some cases. But you're absolutely right on the money, yep.

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Speaker 3: And for me to mean that, if you look into

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Speaker 3: the car these days, it means you have the autonomous

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Speaker 3: features in there. You have a lot of aida systems

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Speaker 3: in there too, and it's becoming like that. You can

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Speaker 3: use your car while you're driving to work or someplace else,

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Speaker 3: make phone calls, like take other things. Hands off, you

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Speaker 3: don't need to be put on. Your cell phone goes

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Speaker 3: to your ear. There are plenty of things in the

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Speaker 3: car that makes like a working office. I make many

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Speaker 3: ca during that might commute from a place to b placed. Right,

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Speaker 3: There's plenty of things. And as you get more autonomous,

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Speaker 3: as you get more features in there, it's going to

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Speaker 3: give you more mobility and also those kind of features a.

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Speaker 1: DOS has exploded, right or made driver says systems. It's

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Speaker 1: it's just every new car now has a DOS in it.

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Speaker 1: And you actually quoted that. I'm quoting you. You said

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Speaker 1: that in the in the article regarding SEMA.

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Speaker 2: How do you deal with that at all? Data?

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Speaker 1: You know, to keep up with that information. That's just

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Speaker 1: such an enormous task, right.

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Speaker 3: That's right, and I mean just to give up. First,

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Speaker 3: on all leader side, we publish OEM content O you

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Speaker 3: to pay, procedures to repay and diagnostic business as we

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Speaker 3: get from the OEMs, right, which is manufacturers. So our

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Speaker 3: goal is to get that information to car owners or

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Speaker 3: our shops which are our customers, as soon as we

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Speaker 3: get from the OEM. So that's what our number one

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Speaker 3: goal is. So we want to make sure those cars

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Speaker 3: are fixed properly based on OEM specifications. So that's our

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Speaker 3: number one objective in there. When you're looking into more

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Speaker 3: and more AIDA systems coming in all those things, OEM

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Speaker 3: is providing that information. So we are bringing that information

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Speaker 3: to make sure the DA wires which are the car

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Speaker 3: owners if they want to fix their own cars, or

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Speaker 3: the shop owners get that information quipin in our product.

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Speaker 3: In all data products, we I think a couple of

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Speaker 3: years ago we did publish aid as two specifications, So

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Speaker 3: if you're in our product then you want to fix

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Speaker 3: a car, we are providing AIDS two specifications that you

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Speaker 3: can look at that and to see what else do

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Speaker 3: you need to take care of while you're fixing one thing,

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Speaker 3: which may be the bumper or any anything that you

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Speaker 3: look at which has aida systems. What do you need

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Speaker 3: to calibrate, what do you need to do other things

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Speaker 3: to make sure your car functions properly based on OUM specification.

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Speaker 3: So our goal is to get that information to our technicians,

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Speaker 3: to our DII wise as soon as we get you know.

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Speaker 1: It's funny, right fifty years ago, we'll go back fifty years.

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Speaker 1: Fifty years ago we were worried about how to adjust

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Speaker 1: a chruck pull off on a carburetor. Thirty years ago

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Speaker 1: we were talking fuel injection and feedback two sensors. And

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Speaker 1: ten years ago we thought the industry had peaked in

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Speaker 1: a way of technology because it was all high duty,

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Speaker 1: high control fuel injection. A DOS is here, and a

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Speaker 1: DOS just presents challenges for the auto industry every day,

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Speaker 1: just keeping up with the demand for information in the

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Speaker 1: way it's changing and all that it does rise to

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Speaker 1: that occasion obviously, so well, you know, and then we've

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Speaker 1: got ev vehicles, right, and that's the next evolution, and

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Speaker 1: then you know, you just can't well you just can't

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Speaker 1: wait for the OEI to provide that to you. You

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Speaker 1: still got to have a way to index it and

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Speaker 1: categorize it, and it's got to be an ongoing, ever

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Speaker 1: growing situation to keep up with demand. It's a full

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Speaker 1: time job. Right beyond a full time job, I would think.

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Speaker 3: That's right, and I think you picked up the right point.

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Speaker 3: So first thing is we have the big team that

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Speaker 3: we get content from the OEMs. We then transform. We

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Speaker 3: don't change anything. We publish as it is, but we

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Speaker 3: have to change it to artexson me based on all

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Speaker 3: the OEMs so that we can searche information in one

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Speaker 3: bay standard way. Then we just do the conversion so

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Speaker 3: that all the links and other things are within the document.

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Speaker 3: So we have new technologies that we can publish that

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Speaker 3: content almost every day if you need to. So that's

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Speaker 3: the technology plays a role. Our commitment to our customers,

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Speaker 3: to our owners plays a role because we pay very

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Speaker 3: strong commitment. With the strong commitment, we focus on living

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Speaker 3: that content as soon as we can. And definitely, I think,

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Speaker 3: as you mentioned that it's not it's more than full

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Speaker 3: time job because not only that OEMs provide that information,

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Speaker 3: but they're also providing information in different formats. Right, it

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Speaker 3: can be JPAG, it can be just PDF, it can

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Speaker 3: be the hype hdpp I means all the HTML. So

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Speaker 3: we have to work on those, making sure we can

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Speaker 3: publish that content in a reasonable standard format. So our

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Speaker 3: teams work on those, and our commitment to as I

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Speaker 3: mentioned many times, is art to make sure our customers,

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Speaker 3: whether those are shops and the car owners, get the

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Speaker 3: information right when they need it as long as OEM

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Speaker 3: provides to us.

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Speaker 1: Yeah, and they it's it's just incredible how quick you

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Speaker 1: actually bring it to market, because it seems to show

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Speaker 1: up within you know, I've seen twenty twenty three information

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Speaker 1: out there already. So the teams bring it to market

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Speaker 1: really well. We're going to pull over and take a pause.

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Speaker 2: That Winder.

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Speaker 1: When we come back, I want to put this bug

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Speaker 1: in your ear. You're a body shop. The car gets

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Speaker 1: sit in the front. It's not just replacing or repairing

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Speaker 1: a bumper anymore, is it. I want you to talk

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Speaker 1: a little bit about that and what's involved with that,

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Speaker 1: and why a body shop needs information too, and some

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Speaker 1: of the complications they run into. So let's do that.

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Speaker 1: Let's pull over, take a pause. We're here with President

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Speaker 1: Satwinder mang out of all data I'm running any in

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Speaker 1: the car Doctor. We'll both be back right after this.

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Speaker 5: Don't go away, whether it's a little red Corvette or

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Speaker 5: you go, You've come to the right place to get

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Speaker 5: that car fixed.

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Speaker 2: We're on an ad in the car doctor.

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Speaker 5: Eight five five five six zero nine nine zero zero.

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Speaker 2: Now back to Ron.

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Speaker 1: Hey, hey, hey, I'm back running in the car doctor.

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Speaker 1: We're here with President Satwinder, Mangot of all Data, Satwinder.

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Speaker 1: When we pulled away, we were you know, I left

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Speaker 1: you with that thought regarding body shops and a bumper, right,

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Speaker 1: a simple bumper repair. Maybe fifteen twenty years ago that

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Speaker 1: was pretty simple, right, But now you know a modern car,

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Speaker 1: a more modern car, a newer car gets gets a

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Speaker 1: bumper hit. There's a lot of complications there. What can

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Speaker 1: they reasonably expect? What's involved?

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Speaker 3: Yeah, as you said, run means that if these are

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Speaker 3: just a mechanical parts, this was like ten fifteen, twenty

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Speaker 3: years ago. It's much easier. You learn from your dad,

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Speaker 3: you learn from somebody else. Now you know the mechanical thing,

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Speaker 3: you can pull it out and you can put it there.

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Speaker 3: You can put the new one in. But as you mentioned,

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Speaker 3: these days every car has a DA system. So let's

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Speaker 3: just take on the bumper side. They may have a

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Speaker 3: sensor on it, they may have a camera on it.

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Speaker 3: So when you kick it off, and both of those

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Speaker 3: cameras or sensors are not just on the bumper, they're

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Speaker 3: talking to something else in the car. They're communicating that

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Speaker 3: information back to someplace right saying okay, I have somebody

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Speaker 3: in front of me, or I have something else going on,

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Speaker 3: and then your car takes action and show you all

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Speaker 3: the warning signals. So when you have to replace the bumper,

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Speaker 3: you have to make sure that you then take care

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Speaker 3: of calibration of those cameras or sensors so that they

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Speaker 3: can talk back still to them to the car processor

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Speaker 3: or let's call the car brain where it's showing up right.

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Speaker 3: And if you don't do that, then what's going to happen? Now?

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Speaker 3: If it's even a point one degree calibration different, the

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Speaker 3: cameras are looking someplace else or something else, you can

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Speaker 3: get into an accident and they're not calibrated properly, they're

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Speaker 3: not reset properly.

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Speaker 2: That's right.

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Speaker 3: So it's right, and so it becomes so important these days.

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Speaker 3: Although I meet with many people in the cardinal technicians

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Speaker 3: to there, I know I know they'll say, I know

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Speaker 3: how to fix it, but yes, you know, but the

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Speaker 3: industry has changed. Cars have changed, So make sure you're

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Speaker 3: fixing it. Not to just put a new bumper in there,

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Speaker 3: but you're calibrating. You're rees setting it so that car

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Speaker 3: sends information back and you're safe.

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Speaker 1: You know, I think a DOS has changed the industry

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Speaker 1: more than most people realize. Back to your point, if

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Speaker 1: they paint the bumper and then put a sensor, and

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Speaker 1: you know they have if you look, if everybody looks

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Speaker 1: at their bumper of a modern car that has that

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Speaker 1: little round plastic sensor sticking in the bumper, if the

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Speaker 1: thickness of the paint is too much on the bumper,

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Speaker 1: it will offset that sensor and affect how it operates.

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Speaker 2: You know, there's there's just it.

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Speaker 1: It's not even just is the bumper on straight. It's

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Speaker 1: it's down to the thickness of the paint being sprayed

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Speaker 1: on the bumper. And they need information now. Last year,

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Speaker 1: in twenty twenty two, I'm gonna blow your horn. Okay,

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Speaker 1: All Data one. All Data is a DOS quick reference

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Speaker 1: tool received two industry awards. You guys were the cutting

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Speaker 1: edge with P ten, which is one of the trade magazines.

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Speaker 1: You won the P ten Innovation Award and the SEMA

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Speaker 1: New Product Award, all right because of the a DOSK

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Speaker 1: quick reference tool that you've developed and included in all data.

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Speaker 1: Now you know, when you were developing that, did you

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Speaker 1: have certain goals? And now that the tool is out there,

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Speaker 1: has it? Has it met those goals? Has it exceeded

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Speaker 1: your demand? Are you guys happy with it? Are you

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Speaker 1: are you tweaking it even more for the future.

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Speaker 3: Yeah, definitely. I think first thing is a great key effort.

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Speaker 3: So when we start looking into AID systems coming in

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Speaker 3: more and more, and we start hearing from our technicians

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Speaker 3: that this is what they're looking for. They need a

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Speaker 3: quick specification where they can look into quickly instead of

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Speaker 3: going through the whole repair procedures. So we did produce

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Speaker 3: that and I think team get a wonderful job. And

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Speaker 3: I think a lot of interest when I was in

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Speaker 3: SEEMA from the car owners and the shop and the

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Speaker 3: technicians too, right, they were looking into some information. So

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Speaker 3: now our goal is again to as I mentioned that

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Speaker 3: we will continue to evolve those as the information evolves,

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Speaker 3: we will continue providing more information, continue to make it

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Speaker 3: simple and we are seeing from our side, we're very

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Speaker 3: happy that the usage is pretty high. So that means

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Speaker 3: our technicians, which are many hundreds and thousands, they're looking

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Speaker 3: into that information and using it again. Our goal is

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Speaker 3: to provide the information right information so that we can

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Speaker 3: and keep the car owners and fix the car properly

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Speaker 3: based on the OEMs and standard in and that helps

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Speaker 3: like a safety wise, do right.

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Speaker 1: Right, you know, it's it's just so important. I don't

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Speaker 1: think people realize. We had a We had a call

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Speaker 1: on the show about a year ago. Women from Florida.

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Speaker 1: Her windshield is cracked. Now she had she had suber

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Speaker 1: ueidas and they put a windshield in the car, and unfortunately,

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Speaker 1: her husband, who knew better, said no, I don't want

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Speaker 1: to pay for a calibration, and never had a calibration done.

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Speaker 1: And she called into the show and she's explaining to

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Speaker 1: me that as she's driving along, the car would veer,

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Speaker 1: it would pull, it would do all these crazy things

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Speaker 1: and just react as if somebody else was driving the car.

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Speaker 1: And I thought about it, and actually what happened was

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Speaker 1: full disclosure. My wife was around Thanksgiving. My wife had

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Speaker 1: made turkey with gravy and as I'm putting gravy on

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Speaker 1: my turkey at the Sunday dinner. My glasses steamed up

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Speaker 1: and it dawned on me, and I called her back,

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Speaker 1: and I got her back on the show, and I

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Speaker 1: explained to everybody what going on is they they change

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Speaker 1: the windshield, that changed the opacity or the clear the

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Speaker 1: clearness of the glass. The a DOS system needed to

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Speaker 1: be calibrated. One she got the system calibrated, solved the

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Speaker 1: problem too. She straightened out her husband and doesn't tell

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Speaker 1: her how to fix the car anymore.

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Speaker 2: So I don't know. It wasn't a good or a

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Speaker 2: bad thing. But uh, you know.

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Speaker 1: A DOS is a big safety issue, and and that's

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Speaker 1: where and why things like the quick reference and the

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Speaker 1: information that you're bringing to market just plays such a

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Speaker 1: huge role. And you know, we've got we've got to

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Speaker 1: accept that there's there's no more cheating.

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Speaker 2: Right.

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Speaker 1: You made a comment at SEMA that a DOS is

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Speaker 1: preventing modification of vehicles right lifted vehicles to to modify suspensions,

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Speaker 1: And you know it's it's how will that alter the

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Speaker 1: future of the industry five years from now, Will they'll

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Speaker 1: be off road suspension kits? Will there'll be ways to

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Speaker 1: lift the vehicle. Well, there be ways to modify you know.

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Speaker 1: We even question will we be able to put in

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Speaker 1: you know, factory rados uh, you know, or change the

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Speaker 1: factory radio and put it in a non factory radio,

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Speaker 1: you know, if if it's at all possible.

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Speaker 2: So let's pull over, take a pause. Uh you know.

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Speaker 1: But before we go, I want to leave you with

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Speaker 1: this thought, Satwinder, if I can do you see? You know,

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Speaker 1: does all data have changes or plans in the future?

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Speaker 1: For quick reference, how are you going to I want

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Speaker 1: you to think a little bit about while we're while

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Speaker 1: we're away on the break, how are they going to

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Speaker 1: incorporate electric vehicle information? And is it going to change

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Speaker 1: I'm trying to think. I had to put this delicately.

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Speaker 2: Is it going to change?

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Speaker 6: It?

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Speaker 1: With the way things cost, I mean, information costs the oees,

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Speaker 1: it's they're going to charge you more. You've got to

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Speaker 1: change your pricing. Is there going to be a different approach?

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Speaker 1: Can you see shops Well, maybe they don't do evs.

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Speaker 1: They'll only pay for internal combustion information engine information information,

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Speaker 1: you know, and then we'll be able to get EV information.

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Speaker 1: So just food for thought. Think about that when we

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Speaker 1: come back, well, we'll talk about it. I'm Ronning any

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Speaker 1: and the card doctor. We're back right after this.

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Speaker 2: Don't go.

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Speaker 1: Let welcome back the card doctor who the Satwinder, Mangot

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Speaker 1: of All Data, President of All Data, Satwinder. You know

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Speaker 1: where I think I was going with those questions and

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Speaker 1: thoughts before the break was you know, I read an

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Speaker 1: article recently that talked about how repair shops are Some

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Speaker 1: repair shops are peaking out, is the way they described it,

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Speaker 1: meaning some aren't just going to work on electric vehicles.

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Speaker 1: Some aren't going to work on a dos vehicles. They're

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Speaker 1: going to limit and stop and just work on, you know,

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Speaker 1: vehicles twenty fifteen and older, or twenty twenty five and older,

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Speaker 1: and so forth. Do you see a day when all

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Speaker 1: data might you know, separate the information. Here's our ev information,

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Speaker 1: here's our newer cars, here's our older cars. Does something

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Speaker 1: like that happen with information? Do you just give it

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Speaker 1: all out the way you've been doing it and let

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Speaker 1: the shop decide?

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Speaker 3: Good question, Ron from the business side, I think you

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Speaker 3: will go wherever our customers want us to go. If

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Speaker 3: that's important to them, then we'll figure it out. We'll

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Speaker 3: figure it out what makes sense to our customers, right,

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Speaker 3: if you need to separate that thing. Again, separation is

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Speaker 3: as you know, as you mentioned earlier on that EV

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Speaker 3: population will continue to grow right as you get into

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Speaker 3: next ten to fifteen years, so there will be more

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Speaker 3: and more cars. So if you're going to work on

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Speaker 3: the older carse which is going to be kind of

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Speaker 3: at the end of their life cycle, so then I'll

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Speaker 3: question that also that are you planning to stay in

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Speaker 3: the business for longer term? So I would say these

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Speaker 3: shops thinking through separation, I would say, think through not

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Speaker 3: separating those two, thinking through, as you will say, having

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Speaker 3: the right tools, providing the right advice and working with

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Speaker 3: your customers so that you can be in the business

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Speaker 3: instead of just giving up on EV side of it.

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Speaker 3: EV is a EV, right, It's okay, it's a car.

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Speaker 3: It may have less components, it may have less complexity

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Speaker 3: too from that mechanical portion. But I wouldn't say again,

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Speaker 3: I will go where customers want us to go. Right now,

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Speaker 3: we don't have any plan to separate that information. We

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Speaker 3: will continue to publish the EV information as we get

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Speaker 3: from the manufacturers, right. We will continue as part of

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Speaker 3: our package at this point right.

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Speaker 2: You know.

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Speaker 1: The article also pointed out and talked about the technician shortage,

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Speaker 1: and one of the things that it had brought up

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Speaker 1: was that because of the technician shortage, and shops are

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Speaker 1: getting older, right, and you know a lot of listen.

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Speaker 1: I sit in the AAC certifications every year, and you know,

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Speaker 1: we're all we've all got gray hair. Now, you know,

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Speaker 1: there's very few kids coming in. And I sit there

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Speaker 1: and I look around, and I say, where is the future,

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Speaker 1: Where's that next level and that next generation of technician

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Speaker 1: to come into this business? And I think we're in

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Speaker 1: a funny spot.

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Speaker 2: You know.

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Speaker 1: I look at some of the new stuff that comes up.

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Speaker 1: And you mentioned this in your SEMA conversation. You talked

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Speaker 1: about case right connected autonomous shared electric vehicles and I think,

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Speaker 1: you know, will an independent shop gear up.

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Speaker 2: To fix that? And what will that cost be?

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Speaker 1: So that's where the article was talking and then it referenced,

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Speaker 1: you know, dividing up the information.

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Speaker 2: Talk to us about CASE vehicles.

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Speaker 1: If you could, Satwinder, explain to that, explain that to

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Speaker 1: the audience if you would.

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Speaker 3: No, definitely, I think this is where I think our

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Speaker 3: conversation around earlier ongoing in there to connected. So as

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Speaker 3: the car technology changes and evolve into new new things

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Speaker 3: of evs and other things, so connected, more autonomous, these

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Speaker 3: cars would be talking to each other. That's what it's becoming.

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Speaker 3: More technology. You have more one hundred million plus lines

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Speaker 3: of code now in the car, which is the supercomputers

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Speaker 3: and supercomputers into built into those now. So your cars

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Speaker 3: are talking to each other. They're going to be driving

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Speaker 3: because of all these aida systems on their own with

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Speaker 3: your support. I think there are multiple levels. So you

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Speaker 3: can think of as the autonomous vehicles right now. You're

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Speaker 3: not in the totally autonomous side, although there are vehicles,

434
00:22:43,080 --> 00:22:45,560
Speaker 3: but I think to get to that stage we need

435
00:22:45,600 --> 00:22:48,879
Speaker 3: to do multiple things. But connected when the cars are

436
00:22:48,920 --> 00:22:51,920
Speaker 3: talking to each other. Autonomous is when can car can

437
00:22:52,000 --> 00:22:55,800
Speaker 3: drive on its own? And then shared is another one,

438
00:22:55,840 --> 00:22:59,000
Speaker 3: which is do I really need to own the car?

439
00:22:59,400 --> 00:23:01,800
Speaker 3: Can I have the shared kind of like you have

440
00:23:01,840 --> 00:23:04,560
Speaker 3: the rental car? Right so it's a similar model that

441
00:23:04,600 --> 00:23:07,720
Speaker 3: you can share that I can go become my car

442
00:23:07,800 --> 00:23:09,960
Speaker 3: and move on. I don't need to own the car.

443
00:23:10,680 --> 00:23:16,679
Speaker 3: It's a shared vehicle based on certain contractual obligations that

444
00:23:16,760 --> 00:23:20,800
Speaker 3: we have. And then electric, I think electric you know electic, No,

445
00:23:22,080 --> 00:23:24,600
Speaker 3: it's good for everything. I means when you look at electric,

446
00:23:24,760 --> 00:23:29,440
Speaker 3: I think we're early in the adoption cycle. We need

447
00:23:29,520 --> 00:23:34,000
Speaker 3: to still figure out our infrastructure, the batteries, the charging station,

448
00:23:34,520 --> 00:23:37,680
Speaker 3: the range, anxiety, all those things are going to play

449
00:23:37,720 --> 00:23:39,720
Speaker 3: out over the time and it's going to get better.

450
00:23:40,320 --> 00:23:43,240
Speaker 3: But it's good for climate too. But at the same time,

451
00:23:43,280 --> 00:23:46,320
Speaker 3: I would say it's going to be evolving over time.

452
00:23:46,400 --> 00:23:48,720
Speaker 3: It's not going to happen within five years or six.

453
00:23:48,960 --> 00:23:52,719
Speaker 3: Becomes like a little more political sometimes statements, but we

454
00:23:52,800 --> 00:23:55,840
Speaker 3: need to build our infrastructure along the way. I trust

455
00:23:56,680 --> 00:23:59,120
Speaker 3: our people that they will make the right decisions when

456
00:23:59,160 --> 00:24:01,639
Speaker 3: the time comes for them, so they will move towards

457
00:24:01,640 --> 00:24:07,600
Speaker 3: electric when the time comes in. But these case cards

458
00:24:07,600 --> 00:24:11,760
Speaker 3: connected it on MI Shared Electric is the future and

459
00:24:12,119 --> 00:24:15,359
Speaker 3: our shops are I would say both the owners to

460
00:24:16,000 --> 00:24:18,439
Speaker 3: we need to continue learn that thing. As I think

461
00:24:18,560 --> 00:24:22,480
Speaker 3: you mentioned someplace in there too. Tools are important. It's

462
00:24:22,640 --> 00:24:25,159
Speaker 3: very critical to have the right tools to fix the

463
00:24:25,240 --> 00:24:29,520
Speaker 3: car properly, very important things. Training is important. It's not

464
00:24:29,600 --> 00:24:33,280
Speaker 3: going to happen just to learn from somebody. You have

465
00:24:33,359 --> 00:24:37,040
Speaker 3: to continue learning. So not only that you know how

466
00:24:37,080 --> 00:24:38,960
Speaker 3: to fix the car, but you need to computer skill

467
00:24:39,000 --> 00:24:42,120
Speaker 3: still so that you can understand what do I need

468
00:24:42,200 --> 00:24:47,280
Speaker 3: to properly diagnose and then properly fix the car. So

469
00:24:47,320 --> 00:24:50,400
Speaker 3: all these things in lawsuits, legislations, all other things will

470
00:24:50,400 --> 00:24:52,439
Speaker 3: play a role in there too, because if you're not

471
00:24:52,480 --> 00:24:55,760
Speaker 3: able to fix the car properly, are you if you're

472
00:24:55,800 --> 00:24:57,719
Speaker 3: fixing your own car, if you don't fix it, then

473
00:24:57,760 --> 00:25:01,960
Speaker 3: there's a safety concern too. So all these things I'm

474
00:25:02,080 --> 00:25:05,840
Speaker 3: not I'm optimistic. I feel like our industr is evolving,

475
00:25:05,840 --> 00:25:10,440
Speaker 3: which is a good thing. And as industee evolves, instead

476
00:25:10,440 --> 00:25:12,439
Speaker 3: of running away and saying I'm going to only do

477
00:25:12,520 --> 00:25:16,960
Speaker 3: this or that, learn it, use the proper tools, respect

478
00:25:17,040 --> 00:25:19,720
Speaker 3: tools as you will say in many things right, and

479
00:25:19,760 --> 00:25:24,280
Speaker 3: then working on those and the older generation, the earlier

480
00:25:24,280 --> 00:25:27,240
Speaker 3: which are expert now they call expert, and the new

481
00:25:27,320 --> 00:25:29,880
Speaker 3: generation as comes in, they're going to be using more

482
00:25:29,920 --> 00:25:34,800
Speaker 3: and more technology to fix it. But I think our

483
00:25:34,840 --> 00:25:37,520
Speaker 3: bigger problem, as you talked about labor shortage, I think

484
00:25:37,560 --> 00:25:40,359
Speaker 3: that's where we need to and bring in that younger

485
00:25:40,400 --> 00:25:44,640
Speaker 3: generation into the workforce into fixing the cars. And only

486
00:25:44,680 --> 00:25:47,560
Speaker 3: way to do it to make it attractive, pride to

487
00:25:47,560 --> 00:25:50,520
Speaker 3: the training and get them on the boat, right.

488
00:25:50,600 --> 00:25:52,960
Speaker 1: And and and provide them, you know, with with you know,

489
00:25:53,000 --> 00:25:55,760
Speaker 1: the ability to make money. Let's face it, there, it's

490
00:25:55,800 --> 00:25:59,680
Speaker 1: it's everybody's got to eat, and you know it's it's

491
00:25:59,720 --> 00:26:01,800
Speaker 1: it's a problem. And the technology now, you know, I

492
00:26:01,800 --> 00:26:03,560
Speaker 1: think about it all the time. A young kid comes

493
00:26:03,560 --> 00:26:06,680
Speaker 1: out of trade school, he'll be he'll be thirty five

494
00:26:06,760 --> 00:26:09,800
Speaker 1: forty thousand dollars in debt after two years. Then he's

495
00:26:09,800 --> 00:26:12,040
Speaker 1: got to go buy a toolbox and some basic tools

496
00:26:12,080 --> 00:26:15,600
Speaker 1: and he's going to spend probably twenty five thirty grand. There,

497
00:26:15,840 --> 00:26:17,880
Speaker 1: you're one hundred grand into this industry and you haven't

498
00:26:17,880 --> 00:26:19,399
Speaker 1: even fixed one car yet.

499
00:26:20,040 --> 00:26:21,000
Speaker 2: You know you can.

500
00:26:21,119 --> 00:26:23,880
Speaker 1: You can go down and be a plumber and learn

501
00:26:23,920 --> 00:26:26,399
Speaker 1: the trade twenty bucks an hour and you're using the

502
00:26:26,440 --> 00:26:29,760
Speaker 1: tools that your grandfather used eighty years ago, you know.

503
00:26:29,800 --> 00:26:33,399
Speaker 1: And it's a boiler still a boiler. So it's you know,

504
00:26:33,440 --> 00:26:35,960
Speaker 1: it's it's it's interesting. We'll see where it goes, Satwinder,

505
00:26:36,000 --> 00:26:38,040
Speaker 1: when we come back. This will be our last pause.

506
00:26:38,080 --> 00:26:39,240
Speaker 1: But when we come back, I want to talk a

507
00:26:39,280 --> 00:26:41,960
Speaker 1: little bit. I know you've had conversations. You were you

508
00:26:41,960 --> 00:26:44,879
Speaker 1: were talking about the use of robots to repair cars.

509
00:26:44,880 --> 00:26:46,680
Speaker 1: If we can, if you could touch on that a

510
00:26:46,720 --> 00:26:49,440
Speaker 1: little bit for the audience and then maybe talk about

511
00:26:49,480 --> 00:26:51,680
Speaker 1: some of the challenges you see coming forward in twenty

512
00:26:51,720 --> 00:26:55,159
Speaker 1: twenty three, and we'll we'll, we'll, we'll round out our

513
00:26:55,200 --> 00:26:56,000
Speaker 1: conversation there.

514
00:26:56,040 --> 00:26:57,440
Speaker 2: So stay tight, stay put.

515
00:26:57,480 --> 00:26:59,440
Speaker 1: I'm running any in the Car Doctor here with Satwinder

516
00:26:59,480 --> 00:27:02,080
Speaker 1: Manget of All Data, and we'll both return right after this.

517
00:27:02,119 --> 00:27:04,760
Speaker 6: Don't go away.

518
00:27:12,640 --> 00:27:14,960
Speaker 1: Welcome back Grinnie and the Car Doctor here today with

519
00:27:15,000 --> 00:27:16,880
Speaker 1: Setwinder Mangot of All Data.

520
00:27:16,880 --> 00:27:18,560
Speaker 2: He's the president of All Data. We're happy to have

521
00:27:18,640 --> 00:27:21,119
Speaker 2: him here with us this hour, Set Winder.

522
00:27:21,520 --> 00:27:26,199
Speaker 1: When we pulled away for the pause, robots, is the

523
00:27:26,280 --> 00:27:29,160
Speaker 1: day coming when a robot is going to fix somebody's car.

524
00:27:32,080 --> 00:27:35,800
Speaker 3: It's still a long way, Ron means, but definitely it's

525
00:27:35,840 --> 00:27:39,520
Speaker 3: coming at some point in near future, not too far

526
00:27:40,359 --> 00:27:43,200
Speaker 3: in the near future. That albeit did not doing all

527
00:27:43,280 --> 00:27:47,280
Speaker 3: the repairs, but I can envision some of the simplest

528
00:27:47,280 --> 00:27:51,520
Speaker 3: repairs that you can use the guidance guided diagnostics to

529
00:27:51,600 --> 00:27:54,240
Speaker 3: do that. I mean, Ron, look at this from the

530
00:27:54,320 --> 00:27:58,200
Speaker 3: fundamental level. We have almost more than we talked about

531
00:27:58,240 --> 00:28:01,240
Speaker 3: labor shortage. We have more than four point five million

532
00:28:01,359 --> 00:28:05,399
Speaker 3: jobs still available. If we're not finding. It's an entire industry, right,

533
00:28:05,440 --> 00:28:09,440
Speaker 3: not only the technician side of it, but total our workforce.

534
00:28:10,119 --> 00:28:14,280
Speaker 3: When that's the problem, business is going to start looking

535
00:28:14,400 --> 00:28:18,399
Speaker 3: for more automation, right, and the robots is going to

536
00:28:18,440 --> 00:28:21,560
Speaker 3: play a role. Right twenty years ago. When robots starts

537
00:28:21,560 --> 00:28:23,960
Speaker 3: coming thirty years ago, people are scared it's going to

538
00:28:24,040 --> 00:28:26,800
Speaker 3: take my job. No, it's not. It's if you look

539
00:28:27,000 --> 00:28:32,800
Speaker 3: into the warehouses another place where a lot of robots

540
00:28:32,800 --> 00:28:36,480
Speaker 3: are user. This time, it helps you. It elevates your job.

541
00:28:36,600 --> 00:28:40,400
Speaker 3: It can do the simple task for you, and then

542
00:28:40,440 --> 00:28:43,280
Speaker 3: you can focus on more better things to do. So

543
00:28:44,200 --> 00:28:47,720
Speaker 3: it came into medicine, right. Their surgery is done by robots.

544
00:28:47,720 --> 00:28:51,480
Speaker 3: Now you can control it sitting someplace else. So same

545
00:28:51,480 --> 00:28:54,040
Speaker 3: thing will happen in the industry too, and our industry too,

546
00:28:54,680 --> 00:28:58,560
Speaker 3: where technicians more complicated repairs. Somebody is sitting someplace can

547
00:28:58,680 --> 00:29:03,960
Speaker 3: do those repairs using those row parts. So I think

548
00:29:04,040 --> 00:29:07,360
Speaker 3: the time is coming. It's still I would say it's

549
00:29:07,360 --> 00:29:10,040
Speaker 3: not going to happen within a few years to maybe five.

550
00:29:10,080 --> 00:29:12,400
Speaker 3: It's going to happen, right, and it's going to start

551
00:29:12,440 --> 00:29:15,960
Speaker 3: with simple, basic repairs and then it will continue to

552
00:29:16,080 --> 00:29:22,120
Speaker 3: evolve using that AI which is artificial intelligence, which is

553
00:29:22,160 --> 00:29:25,760
Speaker 3: also looking at AR, which is augmented reality, virtual reality.

554
00:29:25,800 --> 00:29:29,120
Speaker 3: All those things combining will make it easier to fix

555
00:29:29,160 --> 00:29:32,560
Speaker 3: the car. So to your earlier point, it's going to

556
00:29:32,600 --> 00:29:36,200
Speaker 3: be the new younger generation coming into the workforce enjoying

557
00:29:36,280 --> 00:29:39,680
Speaker 3: that work because now they can use technology and still

558
00:29:39,720 --> 00:29:42,640
Speaker 3: have a fun doing their pairs. But some kind of

559
00:29:42,920 --> 00:29:44,720
Speaker 3: guided diagnostic.

560
00:29:44,480 --> 00:29:45,959
Speaker 2: And I can and I can see that.

561
00:29:46,040 --> 00:29:49,560
Speaker 1: You know that's there's augmented reality, there's virtual reality. I

562
00:29:49,560 --> 00:29:51,080
Speaker 1: see the day when they're going to be wearing the

563
00:29:51,120 --> 00:29:53,040
Speaker 1: goggles and the all data.

564
00:29:52,920 --> 00:29:54,600
Speaker 2: Information will be right in front of them.

565
00:29:54,600 --> 00:29:58,000
Speaker 1: The wiring diagram will be live, and they'll be tracing

566
00:29:58,000 --> 00:30:00,840
Speaker 1: it out, looking at the car and figuring out where

567
00:30:00,840 --> 00:30:03,360
Speaker 1: they are. And as the information as you evolve. I've

568
00:30:03,400 --> 00:30:07,360
Speaker 1: seen demonstrations of it where you're you're looking at under

569
00:30:07,400 --> 00:30:09,960
Speaker 1: the hood, you're looking at the water pump, and it

570
00:30:10,080 --> 00:30:12,000
Speaker 1: knows you're looking at the water pump, and it brings up,

571
00:30:12,000 --> 00:30:13,760
Speaker 1: here's how you changed the water pump. Here's how you

572
00:30:13,840 --> 00:30:16,480
Speaker 1: changed the belt, Here's how you and it's it's right there,

573
00:30:16,560 --> 00:30:19,160
Speaker 1: right in front of you, and you know, the complexity

574
00:30:19,200 --> 00:30:22,760
Speaker 1: of the car is going to demand it you know,

575
00:30:22,840 --> 00:30:27,240
Speaker 1: I think that's there, you know, so that's that's what's

576
00:30:27,280 --> 00:30:29,680
Speaker 1: going on there. Hey, let's let's pull over for one

577
00:30:29,720 --> 00:30:32,200
Speaker 1: more segment if we could. I want you to think

578
00:30:32,200 --> 00:30:34,360
Speaker 1: about this real quick, and we're gonna have a couple

579
00:30:34,400 --> 00:30:35,360
Speaker 1: of minutes when we come back.

580
00:30:35,640 --> 00:30:37,240
Speaker 2: The biggest challenge is, you know.

581
00:30:37,440 --> 00:30:39,720
Speaker 1: Facing the shops in twenty twenty three, if you had

582
00:30:39,720 --> 00:30:42,840
Speaker 1: to sum it up, you know what, what can they do?

583
00:30:42,920 --> 00:30:45,920
Speaker 1: What should they be aware of? You know, and maybe

584
00:30:45,960 --> 00:30:47,680
Speaker 1: some of the things that all Dad is doing to

585
00:30:47,720 --> 00:30:50,320
Speaker 1: help counteract that. You guys are one of the leaders

586
00:30:50,320 --> 00:30:53,160
Speaker 1: in the industry, if not the leader, and we look

587
00:30:53,200 --> 00:30:56,520
Speaker 1: to you for answers for beyond information. We know you

588
00:30:56,520 --> 00:30:58,400
Speaker 1: guys are taking the reins on some of these things.

589
00:30:58,400 --> 00:31:00,960
Speaker 1: So whatever you can provide them with, we would appreciate it.

590
00:31:00,960 --> 00:31:03,080
Speaker 1: I'm here with Satwinder Mangot of all data. I'm running

591
00:31:03,200 --> 00:31:05,160
Speaker 1: ning in the car Doctor. We'll both return right after this.

592
00:31:05,240 --> 00:31:20,480
Speaker 6: Don't go away it.

593
00:31:21,560 --> 00:31:24,520
Speaker 1: Welcome back, ronin An in the card doctor. Here with presidents,

594
00:31:24,560 --> 00:31:27,520
Speaker 1: Satwinder Mangot of all Data. Sat Winder, I've got I've

595
00:31:27,520 --> 00:31:29,680
Speaker 1: got three questions in four minutes, so let me let

596
00:31:29,720 --> 00:31:33,000
Speaker 1: me knock them out. For you the biggest challenge facing

597
00:31:33,040 --> 00:31:35,800
Speaker 1: repair shops in twenty twenty three. In a minute, what

598
00:31:35,840 --> 00:31:36,440
Speaker 1: are your thoughts?

599
00:31:36,520 --> 00:31:40,040
Speaker 3: I think two two challenges. I would say one is

600
00:31:40,040 --> 00:31:43,360
Speaker 3: the shop profitability. They're looking at their cost is labor

601
00:31:43,400 --> 00:31:46,160
Speaker 3: cost is going up, their cost of tools are going up.

602
00:31:46,280 --> 00:31:49,840
Speaker 3: The car complexity is going higher and higher. So they're

603
00:31:50,000 --> 00:31:53,360
Speaker 3: concerned about their shop profitability. And that's why tools are

604
00:31:53,480 --> 00:31:56,719
Speaker 3: very important. To make sure they use tools, they do

605
00:31:56,760 --> 00:31:59,239
Speaker 3: the right information, they fix the car properly. Is they

606
00:31:59,280 --> 00:32:03,040
Speaker 3: fix more because if they can use two tools to

607
00:32:03,080 --> 00:32:05,720
Speaker 3: make sure they reduce the cycle time. So that's one.

608
00:32:06,200 --> 00:32:08,600
Speaker 3: The second one to me is the labor shortage. I

609
00:32:08,680 --> 00:32:12,320
Speaker 3: wasn't visiting customers last week too, and everybody that I

610
00:32:12,360 --> 00:32:15,160
Speaker 3: talked to they're running through the same problem. They don't

611
00:32:15,200 --> 00:32:17,880
Speaker 3: have enough technicians, they don't they don't know what to do.

612
00:32:18,360 --> 00:32:21,239
Speaker 3: Many of them thinking of closing the shops. So this

613
00:32:21,440 --> 00:32:25,520
Speaker 3: will be in their labor shortage. But the only way

614
00:32:25,640 --> 00:32:29,400
Speaker 3: to overcome that is to make sure you hire good people.

615
00:32:29,440 --> 00:32:32,080
Speaker 3: And if you hire, if you have people, provide them training,

616
00:32:32,600 --> 00:32:35,640
Speaker 3: use the right tools, and make sure you keep the

617
00:32:35,680 --> 00:32:39,640
Speaker 3: customers happy from your on the shop side by fixing

618
00:32:39,680 --> 00:32:41,360
Speaker 3: the cars properly, right.

619
00:32:41,640 --> 00:32:45,800
Speaker 1: So real quick and okay. Four questions three D printing.

620
00:32:46,000 --> 00:32:47,840
Speaker 1: Do you see the day when three D printing? Oh,

621
00:32:47,840 --> 00:32:49,520
Speaker 1: we need to make this tool in the shop and

622
00:32:49,560 --> 00:32:50,480
Speaker 1: we'll make the tool.

623
00:32:53,320 --> 00:32:55,720
Speaker 3: I think it's it's as you know, means the three

624
00:32:55,800 --> 00:33:00,600
Speaker 3: D printing is evolving and you can go to your

625
00:33:01,120 --> 00:33:03,440
Speaker 3: kind of a shop or someplace which does the three

626
00:33:03,480 --> 00:33:06,080
Speaker 3: D printing so that you can go get that tool.

627
00:33:06,440 --> 00:33:08,719
Speaker 3: But there are more things involved in there. So I

628
00:33:08,720 --> 00:33:15,000
Speaker 3: think it is evolving every shop, yes, would every shop

629
00:33:15,040 --> 00:33:17,280
Speaker 3: will have three D printers, know, but they will have

630
00:33:17,360 --> 00:33:20,400
Speaker 3: a close by three D printers where you can go

631
00:33:20,440 --> 00:33:21,520
Speaker 3: and print it out right right?

632
00:33:21,600 --> 00:33:22,000
Speaker 2: Yeah? Yeah.

633
00:33:22,080 --> 00:33:24,320
Speaker 1: What will all data be focusing on in twenty twenty

634
00:33:24,360 --> 00:33:26,080
Speaker 1: three in a minute.

635
00:33:27,280 --> 00:33:31,400
Speaker 3: Yes, and we're focusing on providing more predictive maintenance tools.

636
00:33:31,480 --> 00:33:31,640
Speaker 2: Now.

637
00:33:31,760 --> 00:33:34,240
Speaker 3: I think, as I talked, we have more data than

638
00:33:34,280 --> 00:33:37,160
Speaker 3: anybody else in the industry, both looking from our data

639
00:33:37,200 --> 00:33:41,520
Speaker 3: and AutoZone perspective. So we're using that data to do

640
00:33:41,600 --> 00:33:45,400
Speaker 3: some of the insights, right, providing insight what component is

641
00:33:45,440 --> 00:33:47,800
Speaker 3: going to fail within ten thousand miles, what are the

642
00:33:47,800 --> 00:33:50,720
Speaker 3: probable causes, and what can we help you what part

643
00:33:50,880 --> 00:33:54,600
Speaker 3: needs to be so place. So we're getting information from

644
00:33:54,680 --> 00:33:58,000
Speaker 3: our enterprise, from our customers and other places, and we're

645
00:33:58,040 --> 00:34:03,600
Speaker 3: building those tools to help our technicians, whether through the

646
00:34:03,640 --> 00:34:06,080
Speaker 3: tools in there, we're connecting also the tools more and

647
00:34:06,160 --> 00:34:08,960
Speaker 3: more so predictive maintenance is our focus. We're going to

648
00:34:09,000 --> 00:34:11,200
Speaker 3: do more on that. We're going to publish the content

649
00:34:11,239 --> 00:34:13,120
Speaker 3: as soon as we can, and then we are going

650
00:34:13,200 --> 00:34:16,000
Speaker 3: to connect these tools, which is scan tools, your show

651
00:34:16,080 --> 00:34:20,279
Speaker 3: management system, your repair information you're marketing into one so

652
00:34:20,320 --> 00:34:24,040
Speaker 3: that it helps you to see the workflow much better.

653
00:34:24,160 --> 00:34:26,279
Speaker 1: And I'm gonna give you thirty seconds to talk about

654
00:34:26,280 --> 00:34:28,600
Speaker 1: all data. Find a fix because we didn't even touch

655
00:34:28,680 --> 00:34:30,320
Speaker 1: on that. That's just such a neat feature.

656
00:34:30,360 --> 00:34:30,799
Speaker 2: What is it?

657
00:34:32,440 --> 00:34:35,000
Speaker 3: Yeah, find a fix is again if you have a

658
00:34:35,880 --> 00:34:37,840
Speaker 3: what we do in the find effits is if you

659
00:34:38,120 --> 00:34:41,080
Speaker 3: need to find a fix for your problem, for the

660
00:34:41,160 --> 00:34:44,680
Speaker 3: leatcy code or something, we can provide you probable cause,

661
00:34:44,719 --> 00:34:47,480
Speaker 3: which we pull from OEM information. We have twenty six

662
00:34:47,480 --> 00:34:50,200
Speaker 3: to twenty seven million probable causes in Fine Effects. Now

663
00:34:50,520 --> 00:34:54,320
Speaker 3: we also pull all the scans that we do using

664
00:34:54,320 --> 00:34:57,680
Speaker 3: our scan tools and also scan tools that Autozones two does,

665
00:34:57,719 --> 00:34:59,880
Speaker 3: which is more than fifteen twenty million scans that we

666
00:35:00,600 --> 00:35:04,319
Speaker 3: so we pulled those information, we analyze that information in

667
00:35:04,320 --> 00:35:06,040
Speaker 3: the data science, and then we.

668
00:35:06,160 --> 00:35:10,400
Speaker 1: Provide a reasonable a reasonable solution on what the problem

669
00:35:10,440 --> 00:35:12,759
Speaker 1: and the fix could be, Satwinder.

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00:35:12,200 --> 00:35:14,000
Speaker 2: We got to leave it there. I appreciate you taking

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00:35:14,000 --> 00:35:15,080
Speaker 2: the time today. It was great.

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00:35:15,080 --> 00:35:18,239
Speaker 1: I'm ronning Ay and the cardoctor reminding everybody the mechanics

673
00:35:18,280 --> 00:35:20,000
Speaker 1: aren't expensive, they're priceless.

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00:35:20,239 --> 00:35:20,560
Speaker 2: See you