In this episode of the Aftermarket Champions Podcast, host Vivek Joshi interviews Paul Wolf (Director of Customer Service) from R.A. Jones, Coesia about his journey in the Customer service domain of the Industrial OEM industry. While talking about his journey, Paul passionately underscores RA Jones's commitment to a customer-centric approach, emphasizing the proactive understanding and anticipation of customer needs. This strategy not only fosters enduring client relationships but also elevates satisfaction and loyalty levels. Moving into training methodologies, Paul discusses the pivotal shift away from traditional classroom settings to interactive, video-based learning tools. This adaptation aligns with industry-wide digitalization trends, prioritizing swift information retrieval and efficient problem-solving. He addresses the challenges posed by a shifting workforce, particularly among younger generations who favor accessing information over retaining it. Paul highlights the critical role of knowledge management in transferring expertise from seasoned veterans to new hires, stressing the importance of capturing and standardizing knowledge effectively. Moreover, he emphasizes R.A. Jones Coesia's global approach to service, maintaining a delicate balance between standardized practices and localized adaptations to ensure consistent and effective support worldwide. Throughout, Paul underscores the significance of continuous customer feedback in refining service delivery, ensuring R.A. Jones Coesia remains agile and responsive to evolving customer needs and technological advancements in the industry.
0:00
Hi folks, welcome back to season 2 of the Aftermarket Champions podcast. I'm
0:05
your host
0:06
Vivek Joshi, founder and CEO of Entitled. We help equipment manufacturers
0:10
identify, prioritize,
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and sell aftermarket and service solutions to their install base. Insights, our
0:17
purpose
0:18
built install base intelligence platform, is used by leading OEMs globally to
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drive
0:22
revenue growth and improve customer experience and satisfaction. I'm delighted
0:27
to be back
0:27
funneling and reaching journey into the world of aftermarket excellence.
0:31
Throughout the season,
0:32
we'll engage in an insightful discussion with industry leaders, exploring
0:35
innovative strategies
0:37
and invaluable insights to propel us forward in industrial aftermarket sector.
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So, without further
0:42
ado, let's embark on this journey together. Good afternoon everybody. This is
0:54
Vivek Joshi,
0:55
your host of the Aftermarket Champions podcast. I'm pleased to bring you
0:59
another edition of
1:00
our podcast with my guest today being Paul Wolf. Paul is the director of
1:04
customer service at
1:05
Ari Jones, which is a division of Cohesia, a large Italian conglomerate of
1:09
packaging and other
1:10
machinery making equipment. Paul is based in Devonport, Iowa, and that's where
1:16
he comes to
1:17
us today. Paul, welcome to the show. Thanks Vivek. I'm happy to be here.
1:22
So Paul, I always talk in my show of my interview, my conversation with my
1:26
guest for this very simple
1:27
question. Tell us a little bit about Paul, what's your background, what you do
1:32
along the way to get
1:33
to this role and then I can dig into a couple more questions from there. Sure.
1:37
So, I actually
1:39
started out as an engineer, so I went to the University of Iowa, there's my
1:43
Iowa plug.
1:44
Thank you very much. Started out in mechanical engineering and always thought I
1:50
wanted to be
1:50
an engineer, designed things for the rest of my life and that's where the
1:53
journey started. So,
1:54
in about 2000, I joined packaging technologies, which eventually became Ari
2:00
Jones as a mechanical
2:01
engineer, designing packaging equipment, working on auto product, home attics,
2:06
sealing equipment,
2:07
eventually some curing projects that got into coffee, but moved through
2:12
engineering,
2:13
a little bit of engineering management, got into some applications engineering,
2:17
went into project
2:18
management, and then eventually, Coagia bought us 13 years later and moved into
2:24
the Lean Six Sigma
2:25
program. So, after engineering, I moved into Six Sigma, did a black belt stint,
2:31
learned a lot of
2:33
business process and a lot of improvements, and then on the next side of Lean
2:38
Six Sigma moved into
2:39
customer service, where I thought I'd never be. I thought I'd sit and look at
2:44
designs and work on
2:45
equipment in my computer all day long, and they said, "Well, how would you like
2:48
customer service?"
2:48
I'm like, "Okay, what is that?" So, I moved into customer service operations,
2:55
worked on arts
2:56
and service to start with, and really have been there since 2016, growing,
3:02
learning,
3:03
figuring out how to work on the business, improve the business, help customers
3:09
out,
3:10
engage our team into really meeting customer expectations, and really trying to
3:14
push
3:15
Ari Jones into the next level of customer service, where we're really a partner
3:19
with our clients,
3:20
and really working hard to make sure their outputs are working. When our
3:25
customers are successful,
3:26
we're successful. That's really where we're looking to be. So, that was the 24-
3:30
year journey in 30 seconds.
3:32
Interesting 24-year journey all in one shot. I think there's a couple of things
3:36
that were
3:37
actually of interest to me. You start as an engineer that, interestingly enough
3:42
, a lot of
3:43
the people have talked to start as an engineer, but unlike most, and I think
3:47
you might be one of two
3:48
that I've talked to, who journeyed into this whole realm of Six Sigma. I mean,
3:52
I did Six Sigma
3:53
a long time ago when I was at this big company on the East Coast that made it
3:58
popular.
3:58
But that was an interesting switch for you, and then more importantly, as from
4:03
an engineer
4:04
to Six Sigma to customer service, did that have any role to play in your shift
4:09
of focus or career
4:10
if you may? Yeah, probably it really did. As an engineer, I was never a real
4:17
good designer.
4:18
I was more a hands-on, make things work. So, once the machine, we built all the
4:23
equipment here in
4:24
the building. Once the machine was built and ready to start up, I was good at
4:27
figuring out how to
4:28
make it work efficiently, and my drive is in how to make things work better. So
4:33
, from engineering,
4:35
I did a lot of startups and helped in the field, and then learned how to
4:39
equipment work, learned
4:40
some of the electrical logic. I always thought I could have been a good
4:42
programmer too, because I'm
4:44
kind of logical. But, I mean, Six Sigma was a journey, and they said, "Hey, do
4:47
you want to do the Black
4:48
Bell program?" And I said, "Sure, what's that?" And they introduced it to me
4:53
was the start of
4:54
Guiz's Black Bell program, and really learned about process, learned about
4:59
statistics, and I never
5:01
realized how much I enjoy data and calculation, and looking at trends, looking
5:06
at visualizations of
5:08
where the highs and lows are, and figuring out how processes work through data.
5:13
And it was a neat
5:15
exposure to me, and I use that all the time now, because the data is everywhere
5:19
. And as we move
5:20
into a much more digital world, big data, there is a lot of information to go
5:25
through,
5:26
and if you can harness it and really utilize it to say, "Hey, here's the
5:30
important stuff. Here's
5:31
the noise," and say, "Hey, here's the things we need to change to make things
5:36
better. Here's the
5:37
stuff we can ignore." I think the Lean Six Sigma really gives you a tool to
5:42
look at data in a
5:43
different light, because you're looking for facts, you're looking for things
5:46
that exist in the world,
5:48
and trying to translate that into improvements and results on equipment. And so
5:53
I think that
5:54
gives you a base of relationship to looking at the data. A lot of things say, "
5:59
Hey, we're doing
6:00
this." I say, "Oh, great. Nice chart. Can I see the data?" Because I want to
6:03
analyze it,
6:04
because there's different ways to look at things. So I think that has really
6:07
given me the opportunity
6:08
to look at lots of big picture items, but break it down into a very methodical
6:13
data approach and
6:15
looking for results based on actual events versus, "I think we should kind of
6:19
go this way."
6:20
So I think that's really where it takes me to. I say, "Oh, that's a good idea.
6:25
Let's check the
6:25
data to make sure we're right." It's interesting you said that, right? Because
6:29
when I did Six Sigma
6:30
a long time ago, I think there are two things that I remember that stuck in my
6:33
mind. One is
6:34
you mentioned about the process, the ability to kind of follow that thing, the
6:37
other one is data.
6:38
But maybe there's a third thing that I think that took away. To me, Six Sigma
6:43
being in that
6:44
realm of Six Sigma was all about making processes more robust to have
6:51
consistent output in the face
6:52
of maybe varying input, which I think was the meta lesson out of that. How does
7:00
that translate
7:01
that mindset, if you may, translate into the customer service world? Because as
7:07
you said to us
7:08
before we started this conversation, a happy customer is really where you want
7:12
to be.
7:12
And happiness is as much about consistency of experience as anything else,
7:16
right?
7:17
Is that how you guys think about it as well? Absolutely. The real mindset that
7:23
you get to is
7:24
most of our happy customers have boring jobs because the machines are boringly
7:30
predictable.
7:31
I put anything in it, and at the end of the day, I get the same output machine
7:35
and product is
7:35
flowing out the door going to their customers. So boringly predictable is where
7:39
you want to get to.
7:41
And if you look at variations and changes, and if you can make machines boring
7:45
ly predictable
7:46
through proper maintenance, proper cleaning, proper training, replacement parts
7:50
when you need to,
7:51
and just make that machine just run. And now it becomes a boring job. That's
7:56
where you want to
7:56
get to because those are happy customers. When they're sitting at their line
7:59
staring at the
7:59
machines, they're like, "What do I do now?" I guess I'll just sit here and
8:02
watch it run.
8:02
Those are the kind of customers are the operators get bored and the output just
8:07
keeps going. So
8:08
when you talk about a lot of variation coming in, but it's boringly predictable
8:14
is what you
8:14
really want to be at for machine functionality. And that's what we try to get
8:18
to. How do we make
8:19
it so it never stops, and when it does stop, we know exactly what to do.
8:23
When you think about the other word you used to describe that role in between,
8:27
you said lean
8:28
and six-sigma. So lead was obviously popularized a long time ago with some of
8:34
the Japanese movements
8:34
out there to some degree six-sigma too with you know, Deming and everybody else
8:38
. But the lead movement
8:39
also wound up manifesting itself in the form of these quote unquote business
8:43
system kind of
8:44
mindsets, right? The famous one is down in our business system and a spot of
8:47
all a bunch of
8:47
different things. Is that something philosophy that Koija has adopted as well
8:52
or Jones particularly,
8:54
is that a way to kind of make it work together? Yeah, I think so. I think a lot
8:59
of the times you
9:00
say lean six-sigma and people, six-sigma is a lot of data which I like. Lean is
9:04
a lot of waste
9:05
management. I mean, how do you get rid of waste? How do you eliminate extra
9:09
cost? How do you get
9:10
waste, you know, waste in movement, waste in packaging? How do you get rid of
9:13
it? So,
9:14
so when I think about lean six-sigma, a majority of the times you start at lean
9:21
and you start at
9:22
waste elimination, what are the costs I can get rid of? Because those are
9:25
actually lean is actually
9:26
easier than six-sigma. Repeatability is a lot harder than starting at the
9:30
beginning. So,
9:31
so when I look at lean six-sigma, most of the time we start at lean and we look
9:34
at cost management
9:36
and what extra cost do I have that I can get rid of? What are the business
9:39
requirements? What
9:40
are the customer requirement? And then everything else I can get rid of to
9:44
reduce cost, reduce time,
9:46
and build more efficiency in the line. So when you really, when you really bake
9:49
time,
9:49
lean six-sigma lean really has a much bigger use when you start with customers,
9:56
when you start
9:57
in a in a plant, but six-sigma repeatability is great, but you really got to
10:02
start with the
10:02
lean. If you don't have lean, repeatability just isn't even going to be there.
10:06
So, yeah.
10:07
So, it's good because I knew you translate that in your customer service role
10:10
both for
10:10
some operations and now running the customer service or service business. You
10:14
know, clearly,
10:16
the intended cohesia broadly and Ari Jones and the division, I think CSNN was
10:20
the division name
10:21
of
10:39
the business. So, there's two years lost in just trying to, okay, let's stop
11:01
for a second and figure
11:05
out how to get the world back on track and then, okay, now let's start the
11:09
journey again. But
11:10
throughout the timeframe, I generally see packaging. The packaging world is a l
11:15
agging industry. The
11:17
technology is not cutting edge. You know, automotive has a lot of that.
11:21
Aerospace has a lot of the
11:22
cutting edge. Packaging is following up on some of the technology. So packaging
11:27
starts to see
11:28
things that are happening in the world and really progressing from the break
11:32
fix mindset. If it's
11:33
broken, I need to fix it. I'll run it, tell it breaks and then fix it to the
11:36
getting closer to
11:38
the preventative maintenance to the planned downtime. You get to predictably
11:43
boring. So,
11:44
I've seen the transition in some of our customers, some of the industries we
11:49
serve
11:50
throughout the last eight years and it's just kind of passing through industry
11:55
by industry,
11:56
getting to that mindset of really planning your downtime as opposed to break
12:02
fixing.
12:03
Because companies we started with years ago, when packaging technologies
12:09
wasn't to have import, absorb some companies. A lot of the smaller companies
12:13
were run and
12:14
tell it breaks, you bring in a service tech and you fix it with parts and then
12:17
you get up and
12:18
running against it and get production out. And that's transformed over the
12:21
course of the last,
12:22
even in the last eight years I've seen it to the mindset of, well, if I replace
12:26
it early,
12:27
I'm not, I'm spending a little more on parts, but I get a lot more production.
12:31
It's really focusing
12:32
on that output where the high dollar is. Saving money on parts is very small
12:38
compared to having
12:39
more production, more efficiency and more output with the same cost. If you can
12:44
get 10 more an hour
12:45
out of a machine with the same cost, minus the packaging and the cost of
12:50
materials, they're making
12:51
more money. So that's what we want to focus on. How do you make sure you're
12:56
very predictable,
12:57
you plan your maintenance, you do it at the right time. So it actually helps
13:01
them plan their
13:02
production and improve. So yeah, it's there. It's been a change. And a lot of
13:07
people are
13:08
changed on mindset. I get a lot more requests for this longer term planning,
13:12
this a can do monthly
13:15
preventative maintenance versus, hey, I need to take care tomorrow because we
13:18
just broke something.
13:19
Can you audit my machine to make sure it's going to keep running for the next
13:22
year versus,
13:23
hey, we need a shaft flown to a South pay a million dollars because I need
13:27
production tomorrow.
13:28
So it's that balance of emergency to predictability.
13:32
Predictability. And I think that's actually going back to the six signal
13:35
mindset.
13:36
Six signal about predictability, boring predictability, like I said, and
13:40
getting
13:40
getting a customer to that point also helps level load your resources as well.
13:45
So it's actually
13:46
it's helping both sides reduce waste in the system. Like you said, so it's all
13:49
connected to one another.
13:50
Yeah, because we are running out of people a lot of the time. It's hard. It's
13:56
hard to find a
13:57
lot of people right now, a lot of harder to hire people these days. So yeah,
14:01
you got to do more
14:02
with less. Everybody does. So it's funny who said that, right? Because one of
14:06
the questions I was
14:07
going to ask you, which was related to that is I actually did a webinar
14:11
yesterday. Of course,
14:12
there's a bit of marketing. I call it the autonomous aftermarket, right? And
14:16
the idea behind the
14:17
autonomous aftermarket autonomous aftermarket is to make it boringly
14:20
predictable or particularly boring.
14:22
But also to address the fact what you just said, Paul is almost everybody I
14:27
talk to in your shoes.
14:29
And even the website people are having a huge issue with two things. One is,
14:35
you know, people like me, we're retiring. My age is retiring. Lots of guys
14:39
getting out of the
14:40
workforce. Lots of people get into workforce. But the generation behind them is
14:44
not coming in the
14:45
volumes and quality skills that you expect. And so it's creating this little
14:50
capacity and capability
14:51
crunch right now, almost every single manufacturer. And the idea to use data,
14:56
to use automation,
14:57
to use intelligence to kind of overcome some of those gaps is a big deal. Is
15:01
that how you guys are
15:02
thinking about it? Also, are Jones and even Cohesia, broadly? Yeah, I think
15:06
everybody's thinking of
15:07
it that way because it's just our current reality. But there's more and more
15:12
plants where the
15:14
the guy who has been there for 45 years, everything about the machine has all
15:17
the parts stored away
15:18
in his office. Oh, that broke. I have one of those is disappearing. And it's
15:22
being replaced from
15:23
somebody that's has less experience, you know, much younger grew up in a
15:28
different different
15:29
mentality. The guys that have been there for years, they worked on their cars,
15:33
you know,
15:33
they changed their own oil. We don't change our oil anymore today. And some
15:38
kids have cars that
15:39
don't have oil. They're electric now, you know, you don't, you don't do oil
15:42
changes. So the world
15:44
is changing. You find in the past, if you needed information, you had to go
15:48
look it up. You had to
15:50
go to the library. And it was so much effort to find the information. Now I
15:55
have to retain it.
15:56
Nowadays, I can go to my phone and I can know something in two seconds. But I
16:00
don't remember
16:01
it tomorrow because I don't have to because my phone it phone knows it. So you
16:04
're we're finding
16:05
more people are better at indexing information from a source than they are
16:10
remembering information.
16:12
So how do you how do you make that information readily available to somebody
16:15
who's used to finding
16:16
it right away? I may have to look it up every time, but something else is
16:19
remembering it for me.
16:20
So indexing information becomes more important than remembering information.
16:25
And now you get into
16:26
okay, how do I prevent how do I present that information in a way that my
16:29
customer can utilize
16:30
it with the operators who are younger and they need to index it faster versus
16:34
remembering it?
16:35
How do I train people to do that? And and how do I how do I get them to do it
16:40
more
16:40
on and faster? And then you step into how can I get the machine to think for
16:45
itself to say,
16:47
hey, you should probably adjust this thing because I feel vibration in my
16:51
machine. I mean,
16:51
this is this is where you're getting into, you know, that a machine that's a
16:55
smart machine
16:56
that can give you hints on what to do next or you put your Google glasses on,
16:59
you walk up and there's
17:00
a note that says you need to do these five things. I don't know how to do that.
17:03
Well, let me get my
17:04
phone out and I can find it. So we're moving into that market and and there's a
17:09
high turnover,
17:10
a lot of fluidity in the in the in the human capital in the market. People are
17:15
moving all over,
17:16
changing jobs more often, working less. So how do you take how do you train
17:21
people faster,
17:22
provide the information faster and really replace the the veterans who know
17:27
everything about the
17:28
machine with people who know how to find information, they're mechanically
17:31
skilled or they can run
17:32
the machine, but they they need to find information quickly. So we're working
17:36
through that. It's a
17:37
struggle. It's a different mindset. But but that's the that's the next group,
17:42
the next generation,
17:43
it'll take over. They can index information, not necessarily remember it. I've
17:47
done it before. So
17:48
my son was the same way. He said, he said, I needed to fix my dryer and he says
17:54
, well, why don't you
17:54
just look up the YouTube video and go instead of calling the repairman? So I
17:57
looked up a YouTube
17:58
video and I watched it and I'm like, oh, I can do that. And I did it. And I'm
18:01
like, hey, I fixed my
18:02
dryer. So but do I remember what I did? No, because it was on a YouTube video,
18:07
I need to do it again. I
18:08
go look up the video. So there's a lot of struggle with how we deal with that,
18:12
how we change our mindset
18:13
how we train operators, train mechanics, and really enable them to to do things
18:19
with the technology
18:20
we have today. There's a lot of places they're like, oh, you can't have your
18:23
you can't have your
18:24
phone in production because it's a distraction. You're not going to work. And
18:27
now it's like, well,
18:27
you have to have your phone because you have information on it. So making that
18:31
information
18:32
available and utilizing it is is the next next ways of smart machines and how
18:38
we actually running
18:39
the world. So that's right. I love the term use. I'm going to borrow this term
18:45
indexing information
18:46
versus remembering information. I think that's really powerful because you're
18:49
right. The first
18:50
thing people do now, I just like you, I do this in the hour, automatic to go do
18:53
a YouTube search for
18:54
stuff that breaks in the house, right? Because it's the easiest thing somebody
18:58
's put a video on how to
18:59
fix it. What's interesting and actually, and this is a slightly different
19:03
direction for this
19:04
conversation is, but if you just think about what you said about your watch
19:07
experience, a dry experience
19:08
in YouTube, do you see that in your customer base where people are saying, Hey,
19:16
are you
19:16
Jones, why don't you guys put some repair videos online so I can quickly look
19:19
and see things because
19:20
maybe there's somebody who's skilled and talented enough to do it and they don
19:24
't want to wait for
19:25
your technician to show up. It's both good and bad, right? Good as in you make
19:28
information and
19:29
knowledge available bad. Yeah, they may be one less service call on behalf of
19:33
our Jones, which is
19:34
revenue, but you may have a happier customer because they have that. Are you
19:38
seeing that shift at all?
19:39
We do see that. We're seeing the request for more animation, more video content
19:46
. Less
19:48
classroom training is probably a thing in the past. People don't do as much
19:53
classroom training.
19:53
They want to do hands-on. I need to see it touch it, but they also want to see
19:57
a video of it and
19:59
training by video versus training by reading. We used to read everything
20:03
because there weren't any
20:04
videos. Now we want to see videos. So it does go that way and customers fast
20:12
forward and how do
20:14
you bridge the gap of providing content and then still maintaining a successful
20:19
business. I mean,
20:20
if you give away all your intellectual property, it's a problem, but if you don
20:24
't transform to
20:25
what the current market needs, you have problems. So to be a good vendor to our
20:31
customers, we've
20:32
got to provide that information. We've got to show them how to use it. We've
20:34
got to make it
20:34
available and how to control it, how do you access it. Then you're starting to
20:41
get to chat
20:42
GBT and this artificial intelligence stuff. Suddenly if something has all that
20:47
information,
20:48
you could have people servicing machines without any help. So it's a different
20:54
world we live in.
20:55
So, but I like to think that even if people have the information, they still
20:59
work with us because
21:00
we provide value. We help them do other things and help them really grow. So
21:05
that's what we're
21:06
focusing on, but it's a different world. It's always changing and it's growing
21:11
faster and faster. So
21:12
content, indexing information, controlling it, it's all moving forward. People
21:20
are asking for it.
21:21
It's where we're going. You know, it's the other point you made, which is
21:25
interesting.
21:25
And I've heard people say that, but I think you explicitly, I think you may be
21:30
saying this
21:30
explicitly as well, which is it's one thing to have your 45 year veteran who
21:34
has the art store,
21:35
it's some catalogs and some drawing store that is or her cabinet somewhere. But
21:40
you have the same
21:41
picture happening on the operator side and the on the customer side because
21:45
there have been
21:45
people who are running these machines for a long time. They've just been
21:48
running the same
21:48
machines for a long time. They have all that stuff stored in the head and now
21:51
the next generation
21:52
coming in dozen. And so it's fascinating to see the shift on both the vendor
21:57
side and the customer
21:58
side where the worlds are going to basically be the colliders or onward, but
22:01
definitely wind up
22:03
conversion where this change is going to create a need for service to get
22:08
delivered differently,
22:10
right? Going forward. Yeah, it's a different world. What is useful to the
22:16
customer, you know,
22:18
a lot of our customers, they just want to service tech to show up because they
22:23
don't have capacity
22:24
to work on their machines. So they need more capacity than any people. And then
22:27
sometimes it's
22:28
the knowledge base. But some of our, we've got senior service techs that have
22:32
been doing it for,
22:34
you know, 30 years. And when they leave, we're going to lose the knowledge in
22:37
itself. And I always
22:38
tell them and say, I'm just going to plug you into the matrix will suck your
22:40
brain out. So now we
22:41
have all your information. But unfortunately, you can't do that. So you
22:44
interview them, you
22:45
haven't build videos, you have people write it down. If you can, if you can get
22:49
it written,
22:49
if you can get it transcribed, it somehow get the information that people have
22:53
into a format that people can find. That's where we really, the world is moving
22:58
to. You got to have
22:58
the information available, but in somebody's head just doesn't work until we
23:02
start planning
23:03
chips and heads and they can read their brain, but brave new world there. But
23:08
it's finding
23:10
information and getting it out of people. We've got the same problem internally
23:13
. People who are
23:14
retiring and they've got lots of information and you've got to, you've got to
23:18
really plan for that.
23:19
You've got to figure out how to capture the good morsels and tidbits that they
23:24
have in their head
23:25
that they've done for years that they've really never told anybody about. And
23:28
if you don't get them,
23:29
then you got to relearn them. But once you learn them, you got to write them
23:32
down or capture them
23:33
somewhere. So it's a, everybody has that problem. So people keep retiring.
23:40
Now, when you think about what you've described, I think this picture for our
23:44
zone series, what I'm hearing. Now, Kavizya, you guys are very active, I think
23:49
overall,
23:50
as a company in terms of sharing these best practices, having some form of
23:56
harmonization of
23:57
these ideas. How does that work across the larger company? I think there's 14
24:01
to 15 different group
24:02
companies, right? I'll be thinking there's more. There's actually 20. So I
24:06
think it's, yeah.
24:07
So yeah, it's several. But we've, I mean, Kavizya is really, it's a packaging
24:14
company. So everybody
24:15
knows packaging. And we like to leverage our companies in a way that how do we
24:21
make sure people
24:23
have consistent practices? How do you have one way of doing things, really
24:27
getting to the,
24:28
when you talk to RA Jones, when you talk to Kavizya, you're getting this one
24:33
standard of service.
24:34
And on a global company, global basis, there's multiple regions we have.
24:39
Cultures are different. So really understanding the difference in regions
24:43
versus the difference
24:44
in company and presenting a consistent approach. It's a complicated way to do
24:50
business, but we're
24:51
maneuvering through it and figuring out how to really get that consistent
24:55
approach. And really,
24:56
you know, if you want a packaging partner, we have Kavizya here, we can be a
24:59
packaging partner,
25:00
and we can support you around the world. That's really where the vision is. And
25:03
we're, we work
25:06
together all the time and are getting closer and closer. So the world gets
25:10
smaller once you have
25:11
a lot of teams. COVID actually made the world smaller. So we used to travel to
25:16
see each other.
25:16
Now we just turn on the video and talk. So it's a different word.
25:20
I mean, there's a lot of different things that happened in the last four years.
25:23
They said,
25:23
"COVID made us operate differently. I'm sitting in my co-working space today. I
25:29
almost never
25:29
come here because it's easy for me to turn on my computer and my teams and
25:32
start the morning off
25:33
from home office." But if you consider some of those things you just talked
25:39
about,
25:39
which is the changes in the customers and how they think about stuff, the
25:42
changes in the workforce,
25:43
you know, data and rigor and process discipline, if you may, with some of the
25:47
things you guys are
25:48
doing. If I were to ask you, "Sippal, if you think back not just in the last
25:52
eight years and
25:53
customer service, but you've been observing service and customer service now
25:57
for 20 years,
25:57
you know, at the Harajons/Korija companies, you know, what's your take on what
26:04
sets
26:04
apart what I would call a, uh, for market champion, somebody who's doing
26:09
certain things really well,
26:10
be it, you know, a systematic way of growing, systematic way of delivering your
26:14
service and so on and so
26:15
forth, versus that the examples you've seen in your professional career are the
26:19
people who don't do
26:20
such a good job. But what's your, what's your take on the champions versus not?
26:24
So that's a, that's a strong question. But uh, I think the real side that you
26:35
have to get to is
26:36
what does the customer need? What does the customer want? What is their
26:39
expectations?
26:40
Dabble and agile a little bit too, customer feedback, customer response.
26:46
Every time I go somewhere or do something or on my phone, I get, I get a,
26:51
somebody sends me a survey
26:52
and says, "Hey, what, how good did we do?" But that continuous feedback loop
26:58
and really, not just
26:59
getting the feedback, but listening to it, embracing it and understanding it
27:03
really makes the champion
27:04
stand out. People collect information and if you collect information and don't
27:08
do anything with it,
27:09
your customer isn't satisfied. So I think what really, really makes,
27:16
I mean, it's customer service. You got to deal with the customers. You need to
27:19
listen, you need to
27:20
react to them, you need to work with them, you need to communicate with them.
27:24
It really is, is focused on
27:26
how the customer success is managed and how we can enable that customer success
27:33
versus the people
27:35
that haven't quite gotten there yet is like, "Well, I want my, you're talking
27:38
to everybody's in the
27:39
business. It's my business success. How can I be successful in my business
27:42
versus how can my
27:43
customer be successful in their business?" And once you transition from your
27:48
own success to the
27:49
customer success, suddenly your business actually becomes more successful. But
27:53
it's, it's that
27:55
measurement, you know, the finance people want to know how your business is
27:58
doing. The customers,
28:00
when they're successful, they actually give you more business so you do better.
28:03
So, so it's a,
28:05
it's a matter of really focusing on how successful your companies are, what do
28:08
they need
28:09
and adapting to what you're hearing and, and really building your strategy on
28:13
enabling them to be
28:14
successful. I think that, that really gets to the point of how can you be
28:18
successful.
28:18
And I think that's something important that I've heard from multiple of my
28:24
guests, which is the
28:25
ability to make sure you focus on what makes your customer successful is
28:28
important. The other thing,
28:29
and I think that applies to you as well, people for the products our Jones
28:33
makes, such as the
28:34
machines you make, the packaging machines you make last for 10, 15 years in
28:38
your customer base,
28:39
right? There's some of these old machines out there. And your customer service
28:43
is probably the only
28:44
touch point that consistently stays connected to your customer over time, right
28:48
? The, the equipment
28:49
people go the one time big sale for a million dollars, two million dollars,
28:52
whatever it might be
28:53
a line, a set of lines and then they go away. Yes, they treat them as special
28:56
customers, but your
28:58
group, your team is the one that's constantly touched in delivering that
29:01
experience, delivering
29:03
that success. And I think that's really the, the aspect of service. I think
29:06
people need to keep
29:08
in mind as well. Yeah, and, and people have lots of names for it, but we call
29:13
it asset management,
29:14
but it's the life cycle, the life cycle of the equipment, you know, you'll
29:18
spend two, I don't know,
29:20
two years, six months, nine months buying capital equipment. And that's a whole
29:24
group of people,
29:25
but now we're expecting it to run for 20. We, we're servicing machines that are
29:29
50 years old,
29:30
so some that are a year old, but it's, it's a matter of how do you maintain the
29:34
asset, how do you make
29:35
it run and, and maintaining that communication and touch point and, and really
29:40
looking at your
29:41
customers and, and understanding what they need. Some of them like to do it
29:44
themselves,
29:45
some of them like to do it with help, some of them like to have you do it for
29:49
them and understanding
29:50
what they need, but really make letting them understand we're here to help. And
29:55
this machine's
29:55
going to be around a while. So hey, let's get to know each other and let's
29:58
really build that
29:59
relationship because it, their production keeps going. And that's what they're
30:03
in business to do.
30:04
So we're in business to help them keep going. That's right. Well, this has been
30:08
a great conversation
30:09
and almost with every one of my guests, I actually like to end with my favorite
30:13
question because I'm
30:14
a big podcast listener as well. And one of my favorite podcasts is a guy, that
30:19
's the person
30:19
called Guy Raz. And his question always to his guests is like, Hey, you know,
30:23
in the, in this
30:24
spectrum of luck to good looks to amazing talent. How much do you ascribe to
30:29
where you are today
30:30
to luck versus talent versus hard work? Right? I mean, what's your point of
30:35
view on that one?
30:36
And, and I would have to say, there's some of all of that. And it's, you know,
30:46
call it luck,
30:48
call it fate, right place, right time. There's definitely times when things
30:54
just happened.
30:55
A lot of my employees ask, well, how come we're not doing this yet? It says,
30:59
well, I have to be
31:00
patient and wait until the company's ready to do it. But being at the right
31:03
place at the right
31:04
time is a bit of luck. But hard work, effort, paying attention, learning new
31:10
things, creating,
31:12
you know, self awareness, how do I react to things? How do people react to
31:15
things,
31:16
learning from each situation, how businesses function, how people function, you
31:21
embrace that,
31:22
and you learn from it. So if you continually learn, sometimes you make your own
31:27
luck, because if you
31:28
get that right situation and you say the wrong thing, it doesn't go anywhere.
31:32
If you get the
31:33
right situation, say the right thing, it does go somewhere. So I really think
31:37
it's a mix. I think
31:38
we're all working through our individual realities. We're embracing other
31:43
people and it comes down to
31:45
when you find the right people to work with, you give your high level of effort
31:50
and everything you
31:50
have and share that. I think you become successful when you take that approach
31:54
and really you listen
31:55
to people, you work with people, and you share your ideas and the luck just
31:59
kind of happens sometimes.
32:00
So it's been a great journey. I think it's some of both. So I wouldn't say, and
32:06
it's definitely not
32:06
my good luck. So I got looks for radio probably. That's a great one. That's a
32:12
great one. It looks
32:13
so radio. Well, I think this was awesome. Well, thank you so much for the great
32:18
insights. I really
32:19
think in terms of the kinds of things we talked about, which is a process
32:22
discipline, there's a
32:23
data rigor. It's making customers caring about their success person foremost,
32:28
right, in this whole
32:29
process and removing waste from the system is a really, really good way to kind
32:33
of capture a lot
32:35
of the mindset if you may that you guys bring to customer service. So this has
32:39
been a great
32:39
conversation. I appreciate it very much. And I'm sure our guests are listening
32:43
and appreciators
32:43
as well. So thanks for your time today. Really happy to be here. Enjoy the
32:48
conversation.
32:48
As we complete another enlightening episode, I extend my sincere gratitude to
32:59
our esteemed guests
33:00
and you are valued listeners. If today's conversation resonated with you,
33:05
please subscribe to this
33:05
podcast and Spotify, Apple podcast or Google Play. I'll simply visit a website
33:12
at www.entidal.com
33:13
for more interesting content. Remember, the pursuit of aftermarket decks is an
33:18
ongoing journey
33:19
and I look forward to continuing with you. Until next time, stay informed, stay
33:23
inspired,
33:24
and continue championing aftermarket success.