WEBVTT - No-Shows Crimp Fine Dining Restaurant Profits

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<v Speaker 1>Welcome to Chopping It Up.

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<v Speaker 2>I'm your host, Mike Halon, the senior restaurant and food

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<v Speaker 2>service analyst at Bloomberg Intelligence. Today we're joined by Matt Tucker,

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<v Speaker 2>the CEO of Talk. Talk is a reservation platform for

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<v Speaker 2>high end restaurants. So thanks for doing this, Matt.

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<v Speaker 3>Thanks for having me, Mike, looking forward to the conversation.

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<v Speaker 1>Yeah, same, And we mentioned.

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<v Speaker 2>As I mentioned to you before we got started, I

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<v Speaker 2>noticed that you're a fellow Hoya. You're the third I'm sorry,

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<v Speaker 2>the second Hoya. Actually a fun fact, our first guest

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<v Speaker 2>ever was also a Hoya. The gentleman's younger than both

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<v Speaker 2>of us. Greg Frankfurt covers restaurants stocks for movies.

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<v Speaker 3>Yeah, yeah, I know the name. And you're going to

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<v Speaker 3>have the Sweet Green Guys on at some point as well.

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<v Speaker 3>They're kind of famous Holier restaurant tours. Yeah. I mean,

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<v Speaker 3>I grew up down the street from Georgetown and my

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<v Speaker 3>mother worked there for forty years. So proud to have

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<v Speaker 3>gone there for grad school. Like you played football on

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<v Speaker 3>the roof of the building a little bit, then you

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<v Speaker 3>did it for real. I did it for fun in

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<v Speaker 3>grad school. But yeah, it's great to be on with you.

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<v Speaker 2>Yeah for sure, man, Yeah, George sounds a great place.

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<v Speaker 2>I love getting back.

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<v Speaker 3>There's amazing, It is amazing. I mean that's why I

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<v Speaker 3>got a lot of my formative hospitality experience. So oh yeah,

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<v Speaker 3>yeah for sure.

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<v Speaker 2>So yeah, okay, yeah, so you had mentioned you mentioned

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<v Speaker 2>you worked as a bouncer, what other any other.

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<v Speaker 3>Hospital I've worked in restaurants too, So yeah, I worked

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<v Speaker 3>as a bouncer at some bars in Georgetown and nearby

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<v Speaker 3>that I'm sure you remember. And I worked as a

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<v Speaker 3>bus boy, a bar back, a waiter very very briefly,

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<v Speaker 3>I want to I won't call it a samlier. That will

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<v Speaker 3>do a disservice to incredible professionals in that business. But

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<v Speaker 3>I recommended wines and a private club downtown. And it

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<v Speaker 3>was terrifying because after maybe the first question, I had

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<v Speaker 3>no idea what I was talking about, and they just

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<v Speaker 3>prepped me in the morning and I was certainly not qualified.

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<v Speaker 3>But it was a new private club and they moved

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<v Speaker 3>me off of that job very quickly to just a

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<v Speaker 3>regular waiter job. But yeah, so a lot of formative

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<v Speaker 3>years in Georgetown related hospitality establishments.

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<v Speaker 1>That's really cool.

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<v Speaker 2>I actually kind of regret that I didn't work more

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<v Speaker 2>in restaurants. I did a little stint as a short

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<v Speaker 2>order cook, you know, on a kind of an as

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<v Speaker 2>needed basis for a friend of mine, but that was

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<v Speaker 2>really it. So I definitely wish it, you know, now

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<v Speaker 2>that I'm you know, covering the restaurant industry, I wish

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<v Speaker 2>I had some more experience being a server and stuff

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<v Speaker 2>like that.

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<v Speaker 3>Yeah, there's I mean, the restaurant is so broad. You

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<v Speaker 3>described talk for fine dining, and certainly that's the category

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<v Speaker 3>or the segment we started in, but there's so many

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<v Speaker 3>different segments. Even if you had an amazing experience, you know,

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<v Speaker 3>in one segment of the restaurant industry doesn't even necessarily

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<v Speaker 3>translate to others. I mean that the vast difference in

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<v Speaker 3>experience between someone like me, who was just a waiter

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<v Speaker 3>briefly and professional staff who work in these fine dining

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<v Speaker 3>restaurants who have worked in the industry for decades. In

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<v Speaker 3>many cases, it's hard to even compare. It's like professional

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<v Speaker 3>basketball player versus junior varsity So sure, yeah, it's not

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<v Speaker 3>one industry, that's for sure.

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<v Speaker 1>Yep, all right, good stuff.

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<v Speaker 2>Let's start with I guess if you could give us

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<v Speaker 2>a little information about your career prior to Talk and

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<v Speaker 2>what attracted you to this opportunity.

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<v Speaker 3>Yeah, sure, happy to talk about that, Micah. Prior to Talk,

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<v Speaker 3>for just under ten years part of Talk, I was

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<v Speaker 3>the president and chief operating officer of a restaurant tech

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<v Speaker 3>company named Olo, or called Olo. You know some of

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<v Speaker 3>the Olo folks. You had one on recently, Juwan George,

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<v Speaker 3>who I must say did an amazing job. That was

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<v Speaker 3>a great podcast. Juan was awesome. So I was there

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<v Speaker 3>for nine years, Mike and joined Noah Glass, the founder

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<v Speaker 3>and CEO, when there were ten people and we were

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<v Speaker 3>doing I don't know, two million dollars in revenue, and

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<v Speaker 3>left a year after we went public with a couple

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<v Speaker 3>of hundred million revenue and probably eight hundred or so employees,

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<v Speaker 3>a very different company than when I started there and

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<v Speaker 3>prior to Olo, I've been in the really the software

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<v Speaker 3>and e commerce space for a long time since the

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<v Speaker 3>late nineties, starting at the first startup I worked at,

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<v Speaker 3>which is called lending Tree, which is still around. It

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<v Speaker 3>was a startup when I joined, eventually went public. It

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<v Speaker 3>was eventually acquired by Interactive Corp. Then it was spun

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<v Speaker 3>back out as a standalone public entity, and so I've

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<v Speaker 3>been the e commerce and software space for a long time,

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<v Speaker 3>like and yeah, joined Talk. Asked me why I joined Talk?

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<v Speaker 3>So it was really I wasn't sure I wanted to

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<v Speaker 3>stay in the restaurant technology world, to be quite frank,

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<v Speaker 3>you know, after nine years and watching the growth of

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<v Speaker 3>Volo and the digital ordering part of the restaurant industry,

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<v Speaker 3>I wasn't totally sure I wanted to stay in it

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<v Speaker 3>solely because I like learning about new industries. I always

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<v Speaker 3>find that fascinating, and I didn't want to, you know,

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<v Speaker 3>get bored in a certain area, and I again like

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<v Speaker 3>I like to learn. But in meeting with Anthony Caslanoos,

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<v Speaker 3>the founder of Squarespace they acquired Talk about two and

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<v Speaker 3>a half years ago, and spending time with Nick Kokonas

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<v Speaker 3>was the founder of Talk. Those two guys are incredible entrepreneurs,

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<v Speaker 3>and you know, I felt like I was in a

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<v Speaker 3>good place. And I felt ultimately like like, you know,

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<v Speaker 3>the fine dining category was one that is, like I

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<v Speaker 3>was saying in the intro, like it's a different business

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<v Speaker 3>in a different world, and I felt like I really

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<v Speaker 3>needed to understand that I have my own perspective on

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<v Speaker 3>fine dining, having not historically you know, been you know,

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<v Speaker 3>had been someone who had grown up in the fine

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<v Speaker 3>dining world at all, wasn't used to find dining as

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<v Speaker 3>a consumer to a very large extent as well. So

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<v Speaker 3>I felt like this is a great opportunity to learn

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<v Speaker 3>a very, very different part of the world. And the

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<v Speaker 3>more I dug into talk, the more I realized we served,

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<v Speaker 3>you know, beyond fine dining. We served the hospitality industry,

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<v Speaker 3>you know, outside of restaurants and hotels and private clubs

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<v Speaker 3>and wineries, which is a big part of our business.

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<v Speaker 3>So the challenges were were interesting and clear, and I

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<v Speaker 3>felt like my background was the appropriate one and I

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<v Speaker 3>felt like I could learn I had I've learned so much, Mike,

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<v Speaker 3>it's been It's been an amazing experience.

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<v Speaker 2>Yeah, fine dining is definitely a different animal, uh than

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<v Speaker 2>a lot of the companies I'm sure you worked with

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<v Speaker 2>with Olo for sure.

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<v Speaker 3>Yeah. Absolutely, it is a totally different animal. And I

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<v Speaker 3>had a perception based on some fine dining experiences when

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<v Speaker 3>I was younger, that you know, we're radically different from

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<v Speaker 3>you know, what I found when I joined the industry,

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<v Speaker 3>and the people who are in the fine dining industry.

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<v Speaker 3>Their passion for service and hospitality, for the food, for

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<v Speaker 3>the wine, for the experience. It's just amazing. I mean,

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<v Speaker 3>they're they're I was going to say they're artists, but

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<v Speaker 3>they're way beyond that. They are incredible people to work with.

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<v Speaker 3>And you know, we do our best to Talk to

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<v Speaker 3>create an incredible software and e commerce product and get

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<v Speaker 3>out of the way, you know, get out of the

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<v Speaker 3>way of hospitality, make the product is easy to use

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<v Speaker 3>so they can do their job and that's served and

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<v Speaker 3>serve them with passions. So it's been great to watch

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<v Speaker 3>and participate.

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<v Speaker 1>Very cool. And can you talk a little bit of

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<v Speaker 1>how Talk is unique?

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<v Speaker 3>Yeah, for sure. So when Nick started the company about

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<v Speaker 3>a decade ago, his original idea, Mike, was pre payment

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<v Speaker 3>for reservations. And you know, so the idea of pre

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<v Speaker 3>buying something isn't unique, but the applying of that idea

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<v Speaker 3>to the restaurant industry was indeed unique. And so you know,

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<v Speaker 3>we're buying tickets ahead of time for lots of things,

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<v Speaker 3>you know, sporting events, concerts, and Nick's idea was, well,

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<v Speaker 3>wait a minute, we have you know, demand that far

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<v Speaker 3>exceeds supply. Yet at the same time we have this

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<v Speaker 3>no show issue at restaurants in the you know it's

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<v Speaker 3>in the twenty percent still, twenty percent of people just

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<v Speaker 3>make a reservation don't show up. So his thought was, well, wait,

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<v Speaker 3>I could charge for this. I mean, I should charge

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<v Speaker 3>for this. If I charged for this, I know the

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<v Speaker 3>revenue I'm gonna have, I have the cash in the door.

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<v Speaker 3>I could pay my you know, my food providers. I

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<v Speaker 3>could pay my service people properly. I could pay my rent.

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<v Speaker 3>I know the money is coming in. And the original

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<v Speaker 3>idea behind talk was merely that was the pre payment

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<v Speaker 3>of reservations. Obviously, going along with that is you know,

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<v Speaker 3>the table management and everything else you did, and the

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<v Speaker 3>sort of core reservations platform. But that was the idea.

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<v Speaker 3>The company started inside of the linear group that next

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<v Speaker 3>in a linear and then really spun off from there.

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<v Speaker 3>But I really caught fire amongst the fine dining world

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<v Speaker 3>because you know, they had the same no show issues.

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<v Speaker 3>They had the same high food cost, high labor cost.

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<v Speaker 3>I mean, we talked about people who worked in fine dining,

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<v Speaker 3>they've done it for decades. They cost more, they turn

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<v Speaker 3>over less, but they cost more the food they serve.

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<v Speaker 3>You the component parts of that dish costs more, and

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<v Speaker 3>so you know, talk really took off from there and

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<v Speaker 3>really spread, you know, very rapidly into fine dining establishments

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<v Speaker 3>all over the world. Today we serve restaurants in thirty

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<v Speaker 3>three countries, and we've moved beyond fine dining. But that

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<v Speaker 3>was the original genesis of the idea. That was one

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<v Speaker 3>way we're different. We continue, certainly, in my opinion, to

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<v Speaker 3>be by far the most innovative of the the reservation

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<v Speaker 3>platforms out there. There are many of them. They're probably

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<v Speaker 3>more than a dozen reservation platforms out there, because every

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<v Speaker 3>point of sale provider now has basic reservations that they

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<v Speaker 3>give away to get you to buy the point of sale.

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<v Speaker 3>But what we do from an innovation perspective continues to

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<v Speaker 3>lead the industry across the board.

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<v Speaker 2>What's a typical amount that the high end restaurants will

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<v Speaker 2>charge for those reservations and are they able to set

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<v Speaker 2>that themselves.

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<v Speaker 3>So they can absolutely set it themselves. It's a great question.

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<v Speaker 3>What's typical. I mean, there's probably an average might but

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<v Speaker 3>typical is completely up to them. So and they may

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<v Speaker 3>charge differently at different days of the week, different times

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<v Speaker 3>of the day. So you're all a card you, you know,

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<v Speaker 3>on a Tuesday night could be very different from your

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<v Speaker 3>price fix on a Friday night or a Saturday night,

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<v Speaker 3>And so we don't take control of that pricing at all.

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<v Speaker 3>We leave it in the hands of our customers, the

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<v Speaker 3>restaurant tours, who are far more capable of pricing. They

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<v Speaker 3>know their guests better. But we do create products that

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<v Speaker 3>allow them to experiment. We just release something called multi

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<v Speaker 3>Experienced tables that we allow you now to take the

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<v Speaker 3>risk out of pricing an interesting meal on a table.

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<v Speaker 3>So you know, if I have a table available, a

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<v Speaker 3>four top on a Friday, I may want to put

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<v Speaker 3>a six course tasting menu on it and charge five

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<v Speaker 3>hundred dollars, But maybe I'm a little nervous about that.

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<v Speaker 3>I'm not sure people will buy it, so maybe I'll

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<v Speaker 3>put a I'll have that on there for a couple

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<v Speaker 3>of days, but after two days, if no one's bought it,

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<v Speaker 3>I can also offer a five course tasting menu for

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<v Speaker 3>four hundred dollars or an ALLA card menu. So we

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<v Speaker 3>allow you to control not just everything that's going on

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<v Speaker 3>inside the four walls of the restaurant, but down to

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<v Speaker 3>the table level. You can have this dynamic pricing at

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<v Speaker 3>a table level. So again, we don't tell the restaurant

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<v Speaker 3>to our customer what to charge, but we do give

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<v Speaker 3>them the tools to sort of maximize revenue. I've described

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<v Speaker 3>TALK before as a revenue management company, and I think

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<v Speaker 3>that's probably a decent way to think about us. So

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<v Speaker 3>you know, if you have a restaurant, we can help

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<v Speaker 3>you maximize revenue. Yes, we know, we help drive butts

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<v Speaker 3>and seats, which is critical. We help manage the tables,

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<v Speaker 3>we help the front of house staff, but all of

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<v Speaker 3>that is in service of maximizing the revenue for the restaurant.

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<v Speaker 2>Yeah, it's an interesting way to apply dynamic pricing, right

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<v Speaker 2>because I think surge pricing has people and it tizzy

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<v Speaker 2>at the moment. Oh yeah, so doing it at the

0:12:57.240 --> 0:12:59.160
<v Speaker 2>table level is really interesting.

0:13:00.160 --> 0:13:02.880
<v Speaker 3>Yeah, I mean I think you know, it's interesting because

0:13:02.920 --> 0:13:07.440
<v Speaker 3>we're obviously laughing at you know, the Wendy's example, right, So, yeah,

0:13:07.480 --> 0:13:11.000
<v Speaker 3>they really stepped in it there. Well, I suspect it

0:13:11.040 --> 0:13:13.560
<v Speaker 3>wasn't their intent, just poorly communicated, you know. I think

0:13:13.559 --> 0:13:17.880
<v Speaker 3>in retrospect they said they were talking about lowering prices.

0:13:18.360 --> 0:13:22.679
<v Speaker 3>But you know, the qs R consumer, you know, I've

0:13:22.760 --> 0:13:25.720
<v Speaker 3>done a lot in the QSR space before they you know,

0:13:25.840 --> 0:13:29.120
<v Speaker 3>generally speaking, you know you're if you're hitting the drive

0:13:29.160 --> 0:13:33.040
<v Speaker 3>through line at Wendy's, you know, in a lunchtime crowd,

0:13:34.200 --> 0:13:36.560
<v Speaker 3>you know exactly what the price is going to be.

0:13:36.720 --> 0:13:39.559
<v Speaker 3>You may even have the exact change in your hand,

0:13:39.679 --> 0:13:44.160
<v Speaker 3>and so you're really potentially screwing around with something that's

0:13:44.200 --> 0:13:46.880
<v Speaker 3>almost sacrisanct to the guests and can drive the guest

0:13:46.960 --> 0:13:51.280
<v Speaker 3>away to another store. For for talk, restaurants, they do

0:13:52.000 --> 0:13:54.440
<v Speaker 3>have the ability to dynamically priced. They could do it

0:13:54.440 --> 0:13:56.120
<v Speaker 3>by day of the week, they could do it by table,

0:13:56.160 --> 0:13:58.640
<v Speaker 3>they could do it by type of meal. Again, all

0:13:58.640 --> 0:14:03.080
<v Speaker 3>the card versus price fix. But the consumer still has

0:14:03.120 --> 0:14:05.000
<v Speaker 3>a choice. I mean, they're not pulling up to the

0:14:05.080 --> 0:14:07.720
<v Speaker 3>drive through asking for their regular burger and being charged

0:14:07.720 --> 0:14:11.960
<v Speaker 3>something differently. They are pre paying in many cases, but

0:14:12.200 --> 0:14:14.480
<v Speaker 3>they know exactly what they're paying for, and they can

0:14:14.559 --> 0:14:16.840
<v Speaker 3>make some of those choices before they go to the restaurant.

0:14:16.840 --> 0:14:19.560
<v Speaker 3>They can also make choices once they get there. I mean, oftentimes,

0:14:20.080 --> 0:14:21.960
<v Speaker 3>I'm sure you've seen it. You go into a restaurant,

0:14:22.360 --> 0:14:25.000
<v Speaker 3>you have a reservation, they want to potentially upsell you

0:14:25.080 --> 0:14:28.040
<v Speaker 3>with the you know, the wine selection. The seller selection,

0:14:28.200 --> 0:14:31.600
<v Speaker 3>maybe it's a caveat upgrade, whatever the case may be.

0:14:32.240 --> 0:14:35.280
<v Speaker 3>So it's very clear, I think to the consumer, you know,

0:14:35.320 --> 0:14:38.840
<v Speaker 3>how the restaurant is, you know, is sort of marketing

0:14:38.880 --> 0:14:41.080
<v Speaker 3>the products that they're putting out in front of you.

0:14:42.080 --> 0:14:45.280
<v Speaker 2>Very cool and talk allows the customers to keep their

0:14:45.320 --> 0:14:45.760
<v Speaker 2>data ring.

0:14:46.960 --> 0:14:50.520
<v Speaker 3>Oh yeah, for sure. I mean we are not stepping

0:14:50.720 --> 0:14:55.400
<v Speaker 3>in between our customer, the restaurant and their guest data.

0:14:55.600 --> 0:14:58.320
<v Speaker 3>I mean I saw it alllough with third party delivery

0:14:58.360 --> 0:15:02.160
<v Speaker 3>providers that we worked with and Uber that they would

0:15:02.160 --> 0:15:05.880
<v Speaker 3>take the data from the restaurant and the data being

0:15:05.920 --> 0:15:08.640
<v Speaker 3>the guest data, and then convert that guest or that

0:15:08.720 --> 0:15:14.320
<v Speaker 3>consumer into a door dash consumer in a sense, a

0:15:14.440 --> 0:15:19.240
<v Speaker 3>very real sense, stealing that consumer from the restaurant. And

0:15:19.280 --> 0:15:21.600
<v Speaker 3>there's no way we would allow that to talk. Now,

0:15:21.640 --> 0:15:24.800
<v Speaker 3>some of our competitors own that data as well, and

0:15:24.840 --> 0:15:26.880
<v Speaker 3>they're going to market to that guest. They may try

0:15:26.880 --> 0:15:29.560
<v Speaker 3>to steer that guest to a different restaurant if they

0:15:29.680 --> 0:15:33.240
<v Speaker 3>open that app. That's not our job. Our job is

0:15:33.280 --> 0:15:36.920
<v Speaker 3>to help the restaurant, help the restaurant market themselves. Restaurants

0:15:36.960 --> 0:15:39.280
<v Speaker 3>are amazing marketers, and so we want to give them

0:15:39.320 --> 0:15:43.720
<v Speaker 3>a platform to show great videos and great pictures and

0:15:43.800 --> 0:15:47.320
<v Speaker 3>great descriptions, but we are not stepping in the middle

0:15:47.360 --> 0:15:48.560
<v Speaker 3>of that relationship that.

0:15:48.600 --> 0:15:53.320
<v Speaker 2>Is their guest awesome, you know, And you mentioned talk

0:15:53.480 --> 0:15:55.240
<v Speaker 2>is more of a revenue management tool. Can you talk

0:15:55.240 --> 0:15:57.800
<v Speaker 2>about how you're helping restaurants generate repeat visits?

0:15:59.080 --> 0:16:01.360
<v Speaker 3>Yeah, well, that's kind of the key. I mean that

0:16:01.360 --> 0:16:05.240
<v Speaker 3>that's something that is almost regardless of the segment you're

0:16:05.280 --> 0:16:12.520
<v Speaker 3>at QSR fast casual, regular casual dining, elevated casual, fine dining,

0:16:13.640 --> 0:16:17.240
<v Speaker 3>wineries for us, you know, private clubs and hotels that

0:16:17.280 --> 0:16:20.000
<v Speaker 3>we work with, it's trying to figure out a way

0:16:20.080 --> 0:16:24.800
<v Speaker 3>to get the guest back. And I think you're seeing now,

0:16:25.480 --> 0:16:27.880
<v Speaker 3>you know, in some of the economic data coming out

0:16:28.200 --> 0:16:31.200
<v Speaker 3>with you know, how people are spending their discretionary income.

0:16:31.240 --> 0:16:35.120
<v Speaker 3>To the extent they have discretionary income, they don't want

0:16:35.160 --> 0:16:38.520
<v Speaker 3>to always go back for the same old menu. And

0:16:38.560 --> 0:16:42.000
<v Speaker 3>so I talked earlier about this multi experienced table product

0:16:42.040 --> 0:16:45.360
<v Speaker 3>that we just released. That's a way that we help

0:16:45.920 --> 0:16:49.640
<v Speaker 3>the restaurant market something different to the guest. It's not

0:16:49.720 --> 0:16:52.760
<v Speaker 3>just about the regular menu. It's like, here's an experience.

0:16:52.800 --> 0:16:55.840
<v Speaker 3>So if you're a you know, an oyster bar, you

0:16:55.880 --> 0:16:59.160
<v Speaker 3>know in Georgetown, you know, have an oyster shucking class.

0:16:59.240 --> 0:17:02.320
<v Speaker 3>You know, if you're known for your your beer selection,

0:17:02.720 --> 0:17:05.560
<v Speaker 3>you have a beer tasting menu. Like these are things

0:17:05.560 --> 0:17:09.280
<v Speaker 3>that are not unique. And again, restaurant tours are so creative.

0:17:09.320 --> 0:17:11.720
<v Speaker 3>They come up with this stuff on their own. We're

0:17:11.840 --> 0:17:16.440
<v Speaker 3>just trying to help them touch the guest additional times

0:17:16.520 --> 0:17:20.560
<v Speaker 3>and show the guests something that could be just another

0:17:20.760 --> 0:17:23.920
<v Speaker 3>occasion to come back into the restaurant, you know, not

0:17:24.000 --> 0:17:28.200
<v Speaker 3>just Mother's Day brunch, not just you know, Saint Patrick's Day,

0:17:28.800 --> 0:17:31.240
<v Speaker 3>you know, green beer that you have, not just the

0:17:31.320 --> 0:17:34.840
<v Speaker 3>Thanksgiving you know, takeaway meal, whatever the case may be.

0:17:35.040 --> 0:17:38.280
<v Speaker 3>We want to give restaurant tours the experience, the ability

0:17:38.359 --> 0:17:43.640
<v Speaker 3>to be creative, be thoughtful. It's not just about experiences.

0:17:43.680 --> 0:17:46.080
<v Speaker 3>But that's one way that we, you know, help them

0:17:46.160 --> 0:17:49.400
<v Speaker 3>drive guests right back in. And we also give restaurant

0:17:49.400 --> 0:17:53.560
<v Speaker 3>tours a marketing platform to reach out to guests. Again,

0:17:53.640 --> 0:17:56.879
<v Speaker 3>we don't own that guest, so we just need to

0:17:56.880 --> 0:18:00.199
<v Speaker 3>provide the tool to the restaurant tour so they can

0:18:00.240 --> 0:18:03.080
<v Speaker 3>continue to have a conversation with their guests at the

0:18:03.080 --> 0:18:03.840
<v Speaker 3>appropriate time.

0:18:04.600 --> 0:18:07.280
<v Speaker 2>Right, and you're looking to expand into other restaurant types

0:18:07.359 --> 0:18:08.359
<v Speaker 2>right outside of fine dining.

0:18:09.160 --> 0:18:12.440
<v Speaker 3>Well, we've certainly spent a lot of time over the

0:18:12.520 --> 0:18:16.080
<v Speaker 3>last year expanding beyond fine dining mics, So it is important,

0:18:16.560 --> 0:18:20.080
<v Speaker 3>you know, I think that certainly our heritage is in

0:18:20.359 --> 0:18:24.680
<v Speaker 3>fine dining clearly, and that's still a category that's incredibly

0:18:24.720 --> 0:18:29.120
<v Speaker 3>important to TALK. But if you look at just a

0:18:29.160 --> 0:18:32.880
<v Speaker 3>product advisory board that we formed early in twenty twenty three,

0:18:32.960 --> 0:18:36.760
<v Speaker 3>you could see across that just that product advisory board,

0:18:36.760 --> 0:18:40.320
<v Speaker 3>we have very much fine dining folks on that board

0:18:40.320 --> 0:18:45.719
<v Speaker 3>who are incredible contributors and upscale casual, neighborhood casual restaurants.

0:18:45.800 --> 0:18:49.479
<v Speaker 3>So you know, the total addressable market for restaurants is

0:18:49.680 --> 0:18:53.359
<v Speaker 3>quite large, but the total addressable market for fine dining

0:18:53.440 --> 0:18:59.399
<v Speaker 3>establishments is a tiny segment of restaurants. So, no doubt,

0:18:59.440 --> 0:19:02.520
<v Speaker 3>in order for TALK to grow, we have to look

0:19:02.560 --> 0:19:06.639
<v Speaker 3>at restaurants beyond fine dining. Now we will never not

0:19:06.800 --> 0:19:09.840
<v Speaker 3>be in that category. And we're really lucky, Mike, Like

0:19:09.880 --> 0:19:13.000
<v Speaker 3>when I walked in the door, we've done so much

0:19:13.040 --> 0:19:16.040
<v Speaker 3>for fine dining that it's a matter like so much

0:19:16.119 --> 0:19:19.920
<v Speaker 3>innovation had occurred at TALK, we can apply so much

0:19:19.960 --> 0:19:25.359
<v Speaker 3>of that to casual dining establishments to upscale casual. You

0:19:25.400 --> 0:19:28.960
<v Speaker 3>know I just talked about experiences. Well, I'm very fortunate

0:19:29.040 --> 0:19:31.000
<v Speaker 3>to have spent nine years at OLO, and now I

0:19:31.040 --> 0:19:34.000
<v Speaker 3>know a lot of restaurant tours at much larger chains

0:19:34.000 --> 0:19:38.040
<v Speaker 3>who can use the same exact concepts. They're probably not

0:19:38.080 --> 0:19:41.120
<v Speaker 3>going to do pre payment. That's very unique, I think

0:19:41.160 --> 0:19:44.000
<v Speaker 3>to you know, fine dining to a large extent, but

0:19:44.040 --> 0:19:47.560
<v Speaker 3>there are plenty of other features and products that Talk

0:19:47.720 --> 0:19:50.760
<v Speaker 3>already has. That's just a matter of marketing them to

0:19:50.840 --> 0:19:52.800
<v Speaker 3>a different segment in the restaurant industry.

0:19:53.560 --> 0:19:54.760
<v Speaker 1>Great, it's exciting.

0:19:55.720 --> 0:19:56.040
<v Speaker 3>Cool.

0:19:57.160 --> 0:19:59.879
<v Speaker 2>Let's talk a little bit more about fine dining, just

0:20:00.040 --> 0:20:02.320
<v Speaker 2>because I find it to be one of the more

0:20:02.440 --> 0:20:06.520
<v Speaker 2>interesting segments of the industry this year. I mean, we

0:20:06.600 --> 0:20:08.520
<v Speaker 2>spoke a couple of weeks ago, and I mentioned to

0:20:08.600 --> 0:20:10.720
<v Speaker 2>you it's hard to figure out where things are going

0:20:10.760 --> 0:20:14.200
<v Speaker 2>because ye of year comparisons are easing, but the consumer,

0:20:14.440 --> 0:20:17.800
<v Speaker 2>especially low end consumer, seems to be weakening. Fine dining

0:20:17.880 --> 0:20:21.320
<v Speaker 2>had a really bad year last year, and so they

0:20:21.359 --> 0:20:25.679
<v Speaker 2>have pretty easy year over year comps coming up. But

0:20:25.720 --> 0:20:30.160
<v Speaker 2>we haven't seen things really improve that much just yet.

0:20:30.280 --> 0:20:32.240
<v Speaker 2>So I guess, you know, if you could share any

0:20:32.240 --> 0:20:36.160
<v Speaker 2>trends that you're seeing with fine dining covers and check

0:20:36.240 --> 0:20:38.240
<v Speaker 2>sizes in that segment of the industry.

0:20:38.320 --> 0:20:43.480
<v Speaker 3>Right now, we're seeing covers. Yeah. First of all, you're

0:20:43.560 --> 0:20:47.399
<v Speaker 3>right like, we're still suffering from post COVID comps a

0:20:47.440 --> 0:20:50.560
<v Speaker 3>little bit, you know, twenty three twenty four over twenty three,

0:20:50.600 --> 0:20:54.439
<v Speaker 3>I think will hopefully normalize. We are. We are seeing

0:20:54.600 --> 0:20:57.960
<v Speaker 3>cover count about the same in Q one as we

0:20:58.000 --> 0:21:01.840
<v Speaker 3>saw Q one twenty twenty five three. We have seen

0:21:02.400 --> 0:21:06.679
<v Speaker 3>a lot of variability and check size. We have seen

0:21:08.640 --> 0:21:13.359
<v Speaker 3>less interest in some of the supplements that are offered.

0:21:13.359 --> 0:21:17.200
<v Speaker 3>I talked before about you know, Cavea ourselves wine supplement

0:21:18.240 --> 0:21:22.840
<v Speaker 3>that has kind of going up and down certainly over

0:21:22.880 --> 0:21:25.480
<v Speaker 3>the last year and a quarter. And the year over

0:21:25.600 --> 0:21:31.320
<v Speaker 3>year comps for Q one are difficult to understand. And

0:21:31.400 --> 0:21:34.399
<v Speaker 3>I'm talking about sort of same store sales. I'm not

0:21:34.440 --> 0:21:37.120
<v Speaker 3>talking about new customers in twenty four over twenty three.

0:21:37.160 --> 0:21:41.439
<v Speaker 3>I'm talking about the exact same customer cohort. Now, the

0:21:41.520 --> 0:21:44.840
<v Speaker 3>problem is sometimes you know, dates change, or a number

0:21:44.880 --> 0:21:47.000
<v Speaker 3>of weekends in a you know, in a month. We

0:21:47.040 --> 0:21:49.480
<v Speaker 3>had leap year this year, which throw things off, throw

0:21:49.720 --> 0:21:54.119
<v Speaker 3>things off a little bit. Easter shift, Easter shift exactly.

0:21:54.240 --> 0:21:57.359
<v Speaker 3>So we feel that pretty acutely in the numbers that

0:21:57.440 --> 0:22:00.400
<v Speaker 3>we see come across the board. I will tell you though,

0:22:00.440 --> 0:22:02.680
<v Speaker 3>I think to your point a minute ago, like it's

0:22:02.680 --> 0:22:05.560
<v Speaker 3>so hard to read what's going on, and you see

0:22:05.560 --> 0:22:08.720
<v Speaker 3>the numbers from this week. So now the FED may

0:22:08.760 --> 0:22:10.560
<v Speaker 3>not be cutting this year, is what I read in

0:22:10.560 --> 0:22:13.359
<v Speaker 3>the journal, you know, like who knows, and you know,

0:22:13.400 --> 0:22:16.400
<v Speaker 3>Bloomberg's re pouring similar stuff, Like the numbers that are

0:22:16.920 --> 0:22:20.520
<v Speaker 3>coming across are really hard to figure out. I had

0:22:21.280 --> 0:22:25.159
<v Speaker 3>an exec at a well known chain come and speak

0:22:25.200 --> 0:22:29.160
<v Speaker 3>to the Talk team recently, and he was saying, I

0:22:29.240 --> 0:22:33.399
<v Speaker 3>was talking about sort of wine and caviar, people buying

0:22:33.440 --> 0:22:36.600
<v Speaker 3>that or not buying that. He said the same thing

0:22:36.680 --> 0:22:39.640
<v Speaker 3>in his chain. He said, it's not wine and caviar,

0:22:40.000 --> 0:22:43.600
<v Speaker 3>but it was hot peppers and cheese sauce. And they

0:22:43.640 --> 0:22:47.200
<v Speaker 3>saw a similar thing that people in twenty four and

0:22:47.280 --> 0:22:49.800
<v Speaker 3>in twenty three as well were just not spending on that.

0:22:49.960 --> 0:22:54.919
<v Speaker 3>So you know what's going on with income and you

0:22:54.960 --> 0:23:01.760
<v Speaker 3>know interest rates. I think consumers are across any category,

0:23:01.880 --> 0:23:05.639
<v Speaker 3>any demographic. You know, fine dining, I think you know

0:23:05.840 --> 0:23:09.040
<v Speaker 3>incomes over one hundred thousand dollars. You know, they're driving

0:23:09.080 --> 0:23:11.680
<v Speaker 3>a lot of revenue to the restaurant industry. I think

0:23:11.680 --> 0:23:13.879
<v Speaker 3>it's like sixty percent of the revenue the restaurant industry

0:23:13.920 --> 0:23:16.679
<v Speaker 3>is one hundred thousand dollars income and above. But I

0:23:16.680 --> 0:23:21.399
<v Speaker 3>think even that category is uncertain. What's going on right now?

0:23:21.520 --> 0:23:27.199
<v Speaker 3>So cover count generally the same average order value, average

0:23:27.280 --> 0:23:30.000
<v Speaker 3>check size, what however you want to call it. It's

0:23:30.040 --> 0:23:35.240
<v Speaker 3>it's really fluctuating very heavily right now. So I'm playing

0:23:35.240 --> 0:23:38.840
<v Speaker 3>a poor economist, so my apologies for that, but I

0:23:38.880 --> 0:23:42.520
<v Speaker 3>can't figure it out. I can't figure it out, and

0:23:42.560 --> 0:23:46.000
<v Speaker 3>so it's varied, and again like the holidays and easter

0:23:46.400 --> 0:23:50.000
<v Speaker 3>and leap year, that's just making it even harder to

0:23:50.000 --> 0:23:50.440
<v Speaker 3>figure out.

0:23:50.520 --> 0:23:53.119
<v Speaker 1>Yeah, for sure. You know, I've been I've been saying it.

0:23:53.119 --> 0:23:56.400
<v Speaker 2>It's very difficult to project and protict where things are going.

0:23:57.760 --> 0:24:01.000
<v Speaker 3>That Ploomberg's you know what, you guys, what your economists

0:24:01.000 --> 0:24:03.200
<v Speaker 3>are are saying. But you know, it's it would be

0:24:03.240 --> 0:24:05.520
<v Speaker 3>a tough one, right how to try to predict the

0:24:05.560 --> 0:24:06.160
<v Speaker 3>rest of the year.

0:24:06.400 --> 0:24:08.560
<v Speaker 2>Yeah, the cover is being flat. I think that's a

0:24:08.560 --> 0:24:11.879
<v Speaker 2>good sign. I mean, I'm hopeful that the rise in

0:24:12.000 --> 0:24:16.119
<v Speaker 2>asset prices will support spending by people that making that

0:24:16.160 --> 0:24:17.720
<v Speaker 2>are making one hundred thousand.

0:24:17.560 --> 0:24:19.720
<v Speaker 3>And talk about bitcoin.

0:24:20.440 --> 0:24:24.280
<v Speaker 2>Bitcoin stuck at the Nasdaq s and P. I mean,

0:24:24.560 --> 0:24:28.440
<v Speaker 2>you know, at home, prices are still elevated, so inflation

0:24:28.680 --> 0:24:31.720
<v Speaker 2>has taken its toll, and inflation remains higher for longer.

0:24:31.720 --> 0:24:33.480
<v Speaker 2>In my opinion, I don't see how the Fed can

0:24:33.520 --> 0:24:34.040
<v Speaker 2>cut rates.

0:24:34.040 --> 0:24:37.040
<v Speaker 3>But I think you're right about that. I mean, but

0:24:37.119 --> 0:24:41.680
<v Speaker 3>the Nasdaq, the Nasdaq is up, but if inflation stays high,

0:24:41.720 --> 0:24:44.520
<v Speaker 3>the Nasdaq will drop. H I mean, the Nasdaq is

0:24:44.520 --> 0:24:48.639
<v Speaker 3>a tech heavy index, and so you know tech is

0:24:48.840 --> 0:24:51.320
<v Speaker 3>hurt in a high interest rate environment. So maybe the

0:24:51.400 --> 0:24:53.920
<v Speaker 3>Nasdaq is artificially high right now.

0:24:54.400 --> 0:24:56.719
<v Speaker 2>But it's been underperforming over the last few weeks, and

0:24:56.760 --> 0:25:01.600
<v Speaker 2>we've seen inflation. We've seen commodities outperform over the last.

0:25:01.480 --> 0:25:06.280
<v Speaker 3>Yeah, commodities are outperforming, bitcoins outperforming with I'm gonna touch

0:25:06.320 --> 0:25:07.960
<v Speaker 3>with a ten foot poll. But you can't You still

0:25:08.040 --> 0:25:10.639
<v Speaker 3>can't use bitcoin in most restaurants, I know, and certainly

0:25:10.760 --> 0:25:15.800
<v Speaker 3>you can't use them on talk so not yet. But uh,

0:25:15.840 --> 0:25:22.240
<v Speaker 3>I'm I'm always nervous for our customers. Uh right now,

0:25:22.400 --> 0:25:26.080
<v Speaker 3>I see them. You know, in many ways, restaurant tours

0:25:26.080 --> 0:25:28.960
<v Speaker 3>are in their element only because you know, they're so

0:25:29.160 --> 0:25:32.360
<v Speaker 3>creative that they can. You know, if you maybe through COVID,

0:25:32.880 --> 0:25:36.080
<v Speaker 3>you're going to make it through this period. But you know,

0:25:36.119 --> 0:25:39.600
<v Speaker 3>I was talking to a consultant in the restaurant industry

0:25:39.600 --> 0:25:42.159
<v Speaker 3>here in New York the other day, and he was

0:25:42.160 --> 0:25:46.520
<v Speaker 3>saying his restaurant partners are are feeling it acutely right

0:25:46.560 --> 0:25:49.040
<v Speaker 3>now in New York too. So if it's bad here

0:25:49.040 --> 0:25:52.040
<v Speaker 3>in New York, you know it's bad in the US.

0:25:52.440 --> 0:25:55.640
<v Speaker 2>Yeah, all right, let's switch gears a little bit. I'm

0:25:55.640 --> 0:25:58.720
<v Speaker 2>a big concert guy, So bots really pissed me off?

0:25:58.920 --> 0:25:59.199
<v Speaker 3>Did I?

0:25:59.359 --> 0:25:59.879
<v Speaker 1>Did? I hear right?

0:26:00.040 --> 0:26:02.800
<v Speaker 2>People are now using bots to buy up reservations at

0:26:02.840 --> 0:26:03.840
<v Speaker 2>high end restaurants.

0:26:04.320 --> 0:26:06.320
<v Speaker 3>Yeah, you heard right, But what what's the concert that

0:26:06.359 --> 0:26:08.200
<v Speaker 3>really pisses you off the most that you could you

0:26:08.280 --> 0:26:09.080
<v Speaker 3>got priced out of?

0:26:10.320 --> 0:26:13.000
<v Speaker 2>Listen, man, I'll you know, I'm blessed. I have a

0:26:13.000 --> 0:26:17.040
<v Speaker 2>great job, you know, So I'll pay up. I'll pay up,

0:26:17.080 --> 0:26:21.439
<v Speaker 2>But you're always paying I'm always paying up. Recently, I

0:26:21.560 --> 0:26:24.439
<v Speaker 2>went to tool. I saw a tool and MSG and

0:26:24.480 --> 0:26:29.720
<v Speaker 2>I saw Run the Jewels nice uh in in the fall.

0:26:30.000 --> 0:26:31.679
<v Speaker 1>They were both phenomenal.

0:26:31.800 --> 0:26:34.080
<v Speaker 2>So yeah, I love concerts, man, and I'll pay it,

0:26:34.119 --> 0:26:36.560
<v Speaker 2>but it sucks for the regular consumer.

0:26:36.920 --> 0:26:39.240
<v Speaker 3>It does suck. I mean, there is this it's it's

0:26:39.359 --> 0:26:45.080
<v Speaker 3>really it's infuriating for consumers and guests who want to

0:26:45.080 --> 0:26:48.119
<v Speaker 3>go to these restaurants and you know, folks published like

0:26:48.160 --> 0:26:50.240
<v Speaker 3>a top hundred list and you can't get into any

0:26:50.240 --> 0:26:54.639
<v Speaker 3>of them. It's really, really bad. We are fortunate to

0:26:54.760 --> 0:26:58.720
<v Speaker 3>work with some of the you know, highest demand restaurants

0:26:58.800 --> 0:27:03.800
<v Speaker 3>in the world, and you know, they they will drop

0:27:03.840 --> 0:27:06.040
<v Speaker 3>a reservation, let's say, on the first day of the month,

0:27:06.080 --> 0:27:10.440
<v Speaker 3>and it will be gone very quickly. You know, we

0:27:10.640 --> 0:27:15.200
<v Speaker 3>do our level best to you know, to make sure

0:27:15.520 --> 0:27:19.840
<v Speaker 3>that bots are not hitting talk. It is a constant

0:27:20.200 --> 0:27:24.199
<v Speaker 3>effort of our engineering team. We use our own tools

0:27:24.200 --> 0:27:27.280
<v Speaker 3>that we've created, we use third party tools that do

0:27:27.320 --> 0:27:31.040
<v Speaker 3>a wonderful job. But you know, Mike, sometimes a bot

0:27:31.119 --> 0:27:33.679
<v Speaker 3>can slip in there, or you know, just a regular

0:27:33.800 --> 0:27:36.800
<v Speaker 3>human who wants to who has no intent of going,

0:27:36.880 --> 0:27:42.640
<v Speaker 3>who just wants to try to resell something, which broadly speaking,

0:27:42.800 --> 0:27:46.600
<v Speaker 3>our restaurants really can't stand. And the reason they can't

0:27:46.600 --> 0:27:49.200
<v Speaker 3>stand it is, I mean, there are several reasons, but

0:27:49.320 --> 0:27:51.359
<v Speaker 3>number one, they want to know their guest, you know,

0:27:51.400 --> 0:27:53.359
<v Speaker 3>who's coming in the door. Tell me about Mike. Okay,

0:27:53.400 --> 0:27:55.920
<v Speaker 3>Mike's made the reservation. You know, I want to know

0:27:55.960 --> 0:27:57.560
<v Speaker 3>who Mike is. I want to know what he likes.

0:27:57.600 --> 0:27:59.240
<v Speaker 3>I want to know where he wants to sit. I

0:27:59.280 --> 0:28:01.320
<v Speaker 3>want to know what kind windy drinks. I want to

0:28:01.720 --> 0:28:04.320
<v Speaker 3>welcome him by name. I want to re welcome him

0:28:04.320 --> 0:28:07.080
<v Speaker 3>if he's a regular, you know, I want to you know,

0:28:07.240 --> 0:28:10.439
<v Speaker 3>bring something over to his table from chef because you know,

0:28:11.080 --> 0:28:13.080
<v Speaker 3>you know, I know Mike and he's always been great

0:28:13.119 --> 0:28:17.399
<v Speaker 3>to us, and like that is destroyed in this bot

0:28:17.520 --> 0:28:21.320
<v Speaker 3>and resale environment and that kind of hospitality, which is

0:28:21.320 --> 0:28:24.160
<v Speaker 3>what if certainly in the fine dining world they practice

0:28:24.160 --> 0:28:26.480
<v Speaker 3>every day they wake up out of bed for is

0:28:26.520 --> 0:28:30.720
<v Speaker 3>to have that kind of experience with their guests. They

0:28:30.760 --> 0:28:33.000
<v Speaker 3>hate that too. And by the way, the other idea

0:28:33.080 --> 0:28:35.040
<v Speaker 3>that you know someone's going to it's like your concert

0:28:35.080 --> 0:28:38.920
<v Speaker 3>tickets a tool someone's gonna you know, go and resell

0:28:38.960 --> 0:28:43.480
<v Speaker 3>it and charge a fortune for restaurants. Even in fine dining,

0:28:43.480 --> 0:28:46.280
<v Speaker 3>people have this idea that you know, when I talked

0:28:46.280 --> 0:28:48.440
<v Speaker 3>about sort of high income people, they do drive the

0:28:48.480 --> 0:28:51.920
<v Speaker 3>restaurant business. But it's not always high income people who

0:28:51.960 --> 0:28:55.040
<v Speaker 3>are going to these fine dining establishments. Oftentimes, you people

0:28:55.400 --> 0:28:59.000
<v Speaker 3>who are saving up for a long time to experience that,

0:28:59.080 --> 0:29:02.160
<v Speaker 3>and these resta runs want those guests coming in. They

0:29:02.280 --> 0:29:06.360
<v Speaker 3>don't want them to be pushed out of the restaurants

0:29:06.360 --> 0:29:09.800
<v Speaker 3>because someone's going to resell a ticket. So it's really

0:29:10.400 --> 0:29:14.400
<v Speaker 3>it's a bad thing for the industry for so many reasons,

0:29:14.440 --> 0:29:16.680
<v Speaker 3>and so we do our best. We work a lot

0:29:16.840 --> 0:29:19.360
<v Speaker 3>a lot on trying to stop this. You know, I

0:29:19.480 --> 0:29:23.440
<v Speaker 3>actually worked in the security software space for a long time,

0:29:23.480 --> 0:29:25.800
<v Speaker 3>and you know, it's it's a game of whack a mole,

0:29:26.640 --> 0:29:28.959
<v Speaker 3>and it's kind of a game of pushing the bots

0:29:29.040 --> 0:29:33.200
<v Speaker 3>to somewhere else, right, Like, don't attack us because we're

0:29:33.200 --> 0:29:36.320
<v Speaker 3>pretty good at this. Go find it somewhere else where

0:29:36.360 --> 0:29:38.640
<v Speaker 3>you can you know, you can attack. And that that's

0:29:38.720 --> 0:29:41.920
<v Speaker 3>the security software game, I think to a very large extent.

0:29:43.000 --> 0:29:45.719
<v Speaker 3>But we won't really rest on our laurels here because

0:29:45.800 --> 0:29:48.000
<v Speaker 3>you know what, the good damages the restaurant industry.

0:29:48.760 --> 0:29:49.040
<v Speaker 1>Cool.

0:29:49.800 --> 0:29:52.120
<v Speaker 2>Are you still seeing earlier reservations at dinner time?

0:29:52.680 --> 0:29:55.480
<v Speaker 3>Yeah, we're seeing that for sure, Like we are definitely

0:29:55.520 --> 0:29:59.200
<v Speaker 3>seeing that. This is a I suppose you know, your

0:29:59.440 --> 0:30:01.720
<v Speaker 3>guess is probably bear in the mind, this is a

0:30:01.760 --> 0:30:06.280
<v Speaker 3>permanent byproduct of COVID that you know, we're seeing people

0:30:07.440 --> 0:30:10.040
<v Speaker 3>out of the cities still. You know, I see it

0:30:10.040 --> 0:30:12.040
<v Speaker 3>every day when I walk to the office in Manhattan

0:30:13.120 --> 0:30:15.400
<v Speaker 3>or Chicago where talk is based. Either way, it's just

0:30:15.440 --> 0:30:19.160
<v Speaker 3>not as populated as it was. And so therefore, if

0:30:19.160 --> 0:30:21.680
<v Speaker 3>people are coming into work, you know, they're coming in

0:30:21.680 --> 0:30:26.360
<v Speaker 3>generally Tuesday, Wednesday, Thursday, and you know, so a few things. One,

0:30:26.400 --> 0:30:27.880
<v Speaker 3>you want to get them before they go home if

0:30:27.880 --> 0:30:30.360
<v Speaker 3>they're commuting back to Jersey or Long Island, if they're

0:30:30.400 --> 0:30:33.720
<v Speaker 3>in New York. Two, it's the people who are working

0:30:33.720 --> 0:30:36.680
<v Speaker 3>from home in the cities who are finishing up early.

0:30:36.760 --> 0:30:39.160
<v Speaker 3>They're not commuting home. They're already in the city, and

0:30:39.200 --> 0:30:41.200
<v Speaker 3>so they're going to go and have an earlier meal. Well,

0:30:41.200 --> 0:30:43.360
<v Speaker 3>they don't have an hour and a half commune anymore. So,

0:30:44.160 --> 0:30:47.640
<v Speaker 3>for lots of reasons, meal time has changed. The six

0:30:47.760 --> 0:30:52.960
<v Speaker 3>pm the six pm reservation is way more difficult to

0:30:53.040 --> 0:30:55.800
<v Speaker 3>get than it used to be, and the nine pm

0:30:55.880 --> 0:30:59.720
<v Speaker 3>reservation may not even be something that a restaurant takes

0:30:59.760 --> 0:31:04.840
<v Speaker 3>any more. I mean, we absolutely have customers who, many

0:31:04.840 --> 0:31:08.520
<v Speaker 3>of them in big cities, who have stopped serving after

0:31:08.720 --> 0:31:11.920
<v Speaker 3>a certain time for several reasons. One is sort of

0:31:13.040 --> 0:31:17.840
<v Speaker 3>population density, commuter density has changed, and also crime is

0:31:17.880 --> 0:31:22.120
<v Speaker 3>going up in certain cities. So in the big cities

0:31:22.160 --> 0:31:25.800
<v Speaker 3>like Chicago and New York and others San Francisco, you know,

0:31:25.840 --> 0:31:29.120
<v Speaker 3>they're feeling that pretty acutely, and they are adjusting to

0:31:29.160 --> 0:31:32.120
<v Speaker 3>make sure that they are guests and their employees who

0:31:32.160 --> 0:31:35.239
<v Speaker 3>are closing up and then going out late, you know,

0:31:35.320 --> 0:31:37.800
<v Speaker 3>bring stuff out into the alleys and bringing the trash

0:31:37.920 --> 0:31:41.040
<v Speaker 3>like that is a more dangerous proposition that it used

0:31:41.080 --> 0:31:43.440
<v Speaker 3>to be in some places. So yeah, things have changed.

0:31:44.560 --> 0:31:49.960
<v Speaker 2>Okay, how are how is staffing? Are they fully staffed yet?

0:31:50.040 --> 0:31:51.200
<v Speaker 2>In terms of the high.

0:31:51.080 --> 0:31:56.360
<v Speaker 3>End, Irond's fully staffed, I mean the high end. Listen,

0:31:56.400 --> 0:32:03.600
<v Speaker 3>the turnover rate you know is significant in QSR casual dining.

0:32:04.520 --> 0:32:07.160
<v Speaker 3>You know, you walk into your favorite casual restaurant, Mike,

0:32:07.360 --> 0:32:10.200
<v Speaker 3>you know you're going to recognize the host or hostess

0:32:10.520 --> 0:32:12.280
<v Speaker 3>for a month or two and they're probably going to

0:32:12.320 --> 0:32:16.080
<v Speaker 3>switch over. You know, in the fine dining world, they

0:32:16.840 --> 0:32:19.959
<v Speaker 3>have folks who have worked there for years and in

0:32:20.000 --> 0:32:24.000
<v Speaker 3>some cases decades, and in some cases with the restaurant

0:32:24.040 --> 0:32:28.640
<v Speaker 3>tours or the chefs at multiple places. So it's it

0:32:28.760 --> 0:32:32.320
<v Speaker 3>is different. It is a it's more than just a

0:32:32.440 --> 0:32:34.800
<v Speaker 3>job there, It is a career for those folks. You

0:32:34.840 --> 0:32:37.520
<v Speaker 3>can feel it acutely and how they you know, how

0:32:37.560 --> 0:32:40.560
<v Speaker 3>they interact with you as you're if you're a guest

0:32:40.600 --> 0:32:45.480
<v Speaker 3>in these places. So staffing is you know, across the

0:32:45.520 --> 0:32:49.840
<v Speaker 3>restaurant industry, staffing is is a challenge. I'm very lucky

0:32:49.840 --> 0:32:53.600
<v Speaker 3>to be on the board of a company called seven Shifts,

0:32:53.640 --> 0:32:56.360
<v Speaker 3>which does scheduling for restaurants, and you know, we could

0:32:56.360 --> 0:32:59.880
<v Speaker 3>see it there. We serve you know, much more casual dining,

0:33:00.560 --> 0:33:04.800
<v Speaker 3>but also SMBs outside of casual and you know, no

0:33:04.920 --> 0:33:08.800
<v Speaker 3>doubt that across North America, staffing is an issue and

0:33:08.920 --> 0:33:11.840
<v Speaker 3>fine dining will always be less of an issue.

0:33:13.160 --> 0:33:17.120
<v Speaker 2>Great, are your customers in California feeling an impact from

0:33:17.120 --> 0:33:19.520
<v Speaker 2>the law raising the quick service minimum wage of twenty

0:33:19.560 --> 0:33:21.520
<v Speaker 2>dollars an hour. You know, we've written that we think

0:33:21.880 --> 0:33:24.040
<v Speaker 2>you know, the damage isn't going to be limited to

0:33:25.320 --> 0:33:29.480
<v Speaker 2>fast food because you know, people cooks and people that

0:33:29.520 --> 0:33:31.880
<v Speaker 2>work in the kitchen are going to want a spread

0:33:31.920 --> 0:33:37.600
<v Speaker 2>and assistant gms and tenured manager tenured employees and gms

0:33:37.640 --> 0:33:40.080
<v Speaker 2>are going to want to spread between a new employee

0:33:40.080 --> 0:33:43.040
<v Speaker 2>and what they're making. So you know, what are you hearing.

0:33:43.080 --> 0:33:46.320
<v Speaker 2>I guess from your fine dining customers.

0:33:45.800 --> 0:33:50.360
<v Speaker 3>They're not feeling it yet. They feel it's coming. You know,

0:33:50.520 --> 0:33:54.360
<v Speaker 3>many of them pay you know, beyond that dum wage

0:33:54.440 --> 0:33:58.640
<v Speaker 3>of course, and you know, folks are salary. It can

0:33:58.760 --> 0:34:04.600
<v Speaker 3>vary greatly, but you know, as an industry, it's it's

0:34:05.640 --> 0:34:07.960
<v Speaker 3>it's going to be interesting and it's going to be

0:34:08.760 --> 0:34:11.920
<v Speaker 3>problematic and it's gonna you know, it's certainly going to

0:34:12.040 --> 0:34:15.480
<v Speaker 3>drive more innovation because you know, in the QSR world,

0:34:15.560 --> 0:34:20.520
<v Speaker 3>people will not be able to afford you know, this wage,

0:34:21.160 --> 0:34:25.480
<v Speaker 3>and that's an issue and the path for growth in

0:34:25.520 --> 0:34:30.240
<v Speaker 3>the restaurant industry, you know, oftentimes starts as a cashier

0:34:30.239 --> 0:34:34.399
<v Speaker 3>and a qs are and you know what this, what

0:34:34.440 --> 0:34:37.560
<v Speaker 3>this minimum wage law can do is eliminate, you know,

0:34:37.960 --> 0:34:41.839
<v Speaker 3>a traditional job for so many people. And it's such

0:34:41.840 --> 0:34:45.960
<v Speaker 3>a great way to grow and get into this incredible industry.

0:34:46.200 --> 0:34:49.280
<v Speaker 3>And you know, I don't know how the average restaurant

0:34:49.280 --> 0:34:53.400
<v Speaker 3>tour can survive some of these some of these changes

0:34:53.480 --> 0:34:56.800
<v Speaker 3>in the law. I mean, people think of these unfortunate

0:34:56.840 --> 0:34:58.440
<v Speaker 3>at all to have worked with some many of these

0:34:58.560 --> 0:35:02.080
<v Speaker 3>large chains. And people think of these large chains is

0:35:02.800 --> 0:35:06.239
<v Speaker 3>you know, massive companies, but typically they're a franchise or

0:35:06.320 --> 0:35:09.440
<v Speaker 3>franchise e. So a franchise e is a small business person.

0:35:09.680 --> 0:35:14.319
<v Speaker 3>The name may say McDonald's, but it's not McDonald's, you know,

0:35:14.440 --> 0:35:17.640
<v Speaker 3>it's like, you know, Mike and Matts is really the

0:35:17.840 --> 0:35:21.440
<v Speaker 3>company it's And so you know, I really fear for

0:35:21.560 --> 0:35:26.319
<v Speaker 3>what this will do, and it will change a lot.

0:35:26.560 --> 0:35:31.319
<v Speaker 3>The fine dining world will be changed less, no doubt

0:35:31.320 --> 0:35:34.680
<v Speaker 3>about that. But you know, long term, you know, if

0:35:34.719 --> 0:35:37.799
<v Speaker 3>you are choking off the entry point to people into

0:35:37.880 --> 0:35:41.359
<v Speaker 3>the industry, it will affect fine dining. You won't have

0:35:41.440 --> 0:35:45.320
<v Speaker 3>people who want to be in the restaurant industry because

0:35:45.360 --> 0:35:47.560
<v Speaker 3>plenty of people in fine dining start out, you know

0:35:47.600 --> 0:35:48.920
<v Speaker 3>as cashiers McDonald's.

0:35:49.120 --> 0:35:51.680
<v Speaker 2>A lot of times they start as teenagers too, right,

0:35:51.760 --> 0:35:53.839
<v Speaker 2>and so like if it's twenty dollars an hour, you're

0:35:53.840 --> 0:35:56.400
<v Speaker 2>going to be less likely to give a teenager a shot, right.

0:35:56.840 --> 0:36:02.160
<v Speaker 3>You got it? Like absolutely, I mean that's really problematic,

0:36:02.880 --> 0:36:05.279
<v Speaker 3>really really problematic. And you know, we don't have the

0:36:05.840 --> 0:36:08.440
<v Speaker 3>labor to fill some of these jobs. So you know,

0:36:08.600 --> 0:36:11.680
<v Speaker 3>the price is going up, labor force is choked off,

0:36:12.600 --> 0:36:15.320
<v Speaker 3>so technology is going to step in the middle of

0:36:15.440 --> 0:36:17.759
<v Speaker 3>some of this stuff. And you know, for better and

0:36:17.840 --> 0:36:20.120
<v Speaker 3>for worse, again, it's not gonna happen to fine dining.

0:36:20.160 --> 0:36:24.000
<v Speaker 3>You're not going to walk into the French laundry and

0:36:24.040 --> 0:36:28.600
<v Speaker 3>go to a kiosk to place. That's not going to happen. No, no, no,

0:36:28.680 --> 0:36:31.839
<v Speaker 3>it's not plus you know, you know the plus many

0:36:31.880 --> 0:36:35.279
<v Speaker 3>other types of restaurants. But you know that certainly will

0:36:35.320 --> 0:36:39.719
<v Speaker 3>happen almost everywhere else in California. And I really I

0:36:39.800 --> 0:36:42.960
<v Speaker 3>just think the downstream effects of a law like this

0:36:43.280 --> 0:36:47.920
<v Speaker 3>have not been carefully considered. You know, wages, you know,

0:36:48.840 --> 0:36:53.799
<v Speaker 3>the tax rolls from taxing payroll like like, I'm sure

0:36:53.840 --> 0:36:56.080
<v Speaker 3>there's some smart people in California. I'm not sure they

0:36:56.120 --> 0:36:56.960
<v Speaker 3>worked on this law.

0:36:57.840 --> 0:36:59.480
<v Speaker 1>Yeah, it's going to be interesting to see.

0:36:59.480 --> 0:37:01.400
<v Speaker 2>You know a lot of the companies we cover are

0:37:01.880 --> 0:37:06.359
<v Speaker 2>you know, just gonna build less stores, if any in California, right,

0:37:06.360 --> 0:37:09.080
<v Speaker 2>they're going to move to to low tax states and

0:37:09.120 --> 0:37:12.120
<v Speaker 2>lower wage states and where they they're going to have

0:37:12.320 --> 0:37:14.400
<v Speaker 2>you know, better ROI on their investment.

0:37:15.440 --> 0:37:18.879
<v Speaker 3>Yeah. I think it's was not carefully considered. I get

0:37:18.920 --> 0:37:23.280
<v Speaker 3>the desire to do it for you know, the votes,

0:37:23.560 --> 0:37:26.360
<v Speaker 3>like so many other things the politicians do for the votes,

0:37:26.440 --> 0:37:29.640
<v Speaker 3>but the downstream effects the restaurant industry are gonna be

0:37:29.680 --> 0:37:32.960
<v Speaker 3>significant and for guests too, Like your choice will shrink

0:37:33.280 --> 0:37:36.640
<v Speaker 3>for sure, Yeah, and your prices will rise. It's already happened.

0:37:36.719 --> 0:37:36.919
<v Speaker 1>Yep.

0:37:38.280 --> 0:37:41.759
<v Speaker 2>All right, let's talk about the restaurant tech industry a

0:37:41.760 --> 0:37:44.640
<v Speaker 2>little bit. How's the M and A market looking. Is

0:37:44.680 --> 0:37:48.080
<v Speaker 2>it showing any improvement in this rise in asset prices

0:37:48.120 --> 0:37:48.680
<v Speaker 2>that we've seen?

0:37:50.360 --> 0:37:55.600
<v Speaker 3>Well, I think so, yes. We are seeing seeing deals

0:37:55.640 --> 0:38:00.080
<v Speaker 3>get done, certainly along the margins in the edges. I

0:38:00.120 --> 0:38:05.080
<v Speaker 3>think that will continue to occur, not just because of

0:38:05.120 --> 0:38:08.360
<v Speaker 3>the you know, sort of the economic issues, but because

0:38:08.400 --> 0:38:13.919
<v Speaker 3>of the sort of over availability of similar concepts. From

0:38:13.960 --> 0:38:18.560
<v Speaker 3>a technical perspective. Actually, I think Juwan on your podcast

0:38:18.560 --> 0:38:22.320
<v Speaker 3>did a great job, an amazing job, and that was

0:38:22.400 --> 0:38:25.399
<v Speaker 3>great conversation you guys had on just kind of the

0:38:25.440 --> 0:38:29.720
<v Speaker 3>sameness of so many of the solutions, very very hard

0:38:29.760 --> 0:38:34.160
<v Speaker 3>to distinguish between the technical players out there. We all,

0:38:34.640 --> 0:38:38.800
<v Speaker 3>I'm guilty of it. We are all using the same phraseology,

0:38:39.000 --> 0:38:44.759
<v Speaker 3>the same nomenclature always, you know, every sale, every tech

0:38:44.800 --> 0:38:49.920
<v Speaker 3>salesperson ever uses the same language, and it's it's extremely

0:38:49.960 --> 0:38:54.480
<v Speaker 3>frustrating for the operators, the restaurant tours, the owners, and

0:38:54.560 --> 0:38:57.200
<v Speaker 3>it's very hard for them to tell the differences, and

0:38:57.280 --> 0:39:03.080
<v Speaker 3>so oftentimes what you see is a flight to sort

0:39:03.120 --> 0:39:06.960
<v Speaker 3>of a single provider. And so the whole idea of

0:39:07.400 --> 0:39:11.680
<v Speaker 3>best of breed is going to go away if you

0:39:11.719 --> 0:39:14.160
<v Speaker 3>can't prove you're any different from anyone else. And if

0:39:14.200 --> 0:39:17.680
<v Speaker 3>I'm a restaurant tour and I'm not a technologist, you know,

0:39:17.760 --> 0:39:20.759
<v Speaker 3>and it's just easier for me to do a deal with,

0:39:21.160 --> 0:39:23.560
<v Speaker 3>you know, a point of sale provider, because they're going

0:39:23.640 --> 0:39:27.560
<v Speaker 3>to have point of sale and payments and labor scheduling

0:39:27.719 --> 0:39:31.640
<v Speaker 3>and reservations and it's one neck to choke. And oh,

0:39:31.680 --> 0:39:34.400
<v Speaker 3>by the way, because of wages, I can't really afford

0:39:34.800 --> 0:39:38.120
<v Speaker 3>a tech guy or gal anymore, and so I don't

0:39:38.120 --> 0:39:40.080
<v Speaker 3>really have someone, you know, I can't you know, maybe

0:39:40.120 --> 0:39:42.160
<v Speaker 3>can call my nephew or my niece and they know

0:39:42.239 --> 0:39:45.200
<v Speaker 3>something about technology, but that's really not a long term solution.

0:39:45.480 --> 0:39:50.520
<v Speaker 3>So there's this flight to sort of single neck to

0:39:50.640 --> 0:39:56.759
<v Speaker 3>choke that is problematic because that's not where the innovation happens.

0:39:56.840 --> 0:39:59.400
<v Speaker 3>And so for me, as sort of a best of

0:39:59.440 --> 0:40:03.120
<v Speaker 3>breed provider, it does give me pause and I think

0:40:03.239 --> 0:40:06.960
<v Speaker 3>that will also drive some of the consolidation that will

0:40:07.000 --> 0:40:10.919
<v Speaker 3>inevitably occur in twenty twenty four. There are too many

0:40:10.920 --> 0:40:13.600
<v Speaker 3>players out there, and consolidation has already happened a few.

0:40:14.320 --> 0:40:17.040
<v Speaker 3>We were lucky Tolo to get out into in the market.

0:40:17.160 --> 0:40:19.799
<v Speaker 3>Toast was able to get out. You know, some other

0:40:19.840 --> 0:40:23.879
<v Speaker 3>folks are out like door Dash as well. I don't see,

0:40:24.520 --> 0:40:28.520
<v Speaker 3>you know, certainly, depending what the FED does. IPO markets

0:40:28.560 --> 0:40:30.560
<v Speaker 3>have opened a little bit, y'all. I don't even know

0:40:30.600 --> 0:40:32.680
<v Speaker 3>who would be on the docket from a restaurant tech

0:40:32.680 --> 0:40:36.000
<v Speaker 3>perspective to get out right now. And if that doesn't happen,

0:40:36.040 --> 0:40:38.680
<v Speaker 3>depending on how long their investors have been in the companies,

0:40:38.719 --> 0:40:41.319
<v Speaker 3>then they're going to look for other exits and that's

0:40:41.320 --> 0:40:42.120
<v Speaker 3>going to look like M and A.

0:40:42.800 --> 0:40:43.760
<v Speaker 1>Yeah.

0:40:43.920 --> 0:40:47.800
<v Speaker 2>Yeah, I'd expect the public chains to be active because

0:40:47.800 --> 0:40:52.040
<v Speaker 2>there's that public pressure to you know, grow your TAM

0:40:52.080 --> 0:40:55.080
<v Speaker 2>and grow your customer base and all that.

0:40:55.120 --> 0:40:57.600
<v Speaker 3>Oh for sure, you know, Yeah, I mean so from

0:40:57.600 --> 0:41:00.719
<v Speaker 3>a tech a restaurant tech perspective, see it from a

0:41:00.800 --> 0:41:03.800
<v Speaker 3>chain perspective, I'll see it as well. We'll see it

0:41:03.840 --> 0:41:07.080
<v Speaker 3>as well, no doubt we'll see private equity guys playing

0:41:07.080 --> 0:41:09.520
<v Speaker 3>a much larger role there. And some of that may

0:41:09.520 --> 0:41:11.719
<v Speaker 3>have to do with stuff like what's going on in California,

0:41:12.360 --> 0:41:14.959
<v Speaker 3>right because they're plenty of California based chains with let's

0:41:14.960 --> 0:41:18.360
<v Speaker 3>say thirty to one hundred locations that you know, private

0:41:18.360 --> 0:41:21.239
<v Speaker 3>equity may have to not have to may want to

0:41:21.280 --> 0:41:23.239
<v Speaker 3>go take over. Now, we may want to move that

0:41:23.320 --> 0:41:28.319
<v Speaker 3>concept somewhere else. So across the board restaurant tech, restaurants themselves,

0:41:28.680 --> 0:41:32.560
<v Speaker 3>this will be an interesting year. We saw some interesting

0:41:32.920 --> 0:41:36.719
<v Speaker 3>small deals recently, child Now just did one. Chill is

0:41:36.760 --> 0:41:40.319
<v Speaker 3>great company similar to Olo but serving SMBs based out

0:41:40.360 --> 0:41:44.439
<v Speaker 3>in La Their CEO Chris, just did a good deal there.

0:41:44.840 --> 0:41:48.400
<v Speaker 3>So we'll see, you know, marginal deals like that. I

0:41:48.480 --> 0:41:51.560
<v Speaker 3>mean marginal in a pejorative way, I mean smaller deals,

0:41:52.400 --> 0:41:54.720
<v Speaker 3>and you know, we'll see if there's you know, growth

0:41:54.760 --> 0:41:58.319
<v Speaker 3>beyond that. But certainly in terms of absolute number of

0:41:58.440 --> 0:42:01.919
<v Speaker 3>restaurant tech companies that will that will decline in twenty

0:42:02.000 --> 0:42:02.520
<v Speaker 3>twenty four.

0:42:03.239 --> 0:42:04.920
<v Speaker 2>Yeah, this is going to be a really interesting year

0:42:04.960 --> 0:42:07.520
<v Speaker 2>for restaurant tech, for the restaurant industry all around.

0:42:07.600 --> 0:42:09.279
<v Speaker 1>And we have a front row seat, man, So.

0:42:10.480 --> 0:42:13.080
<v Speaker 3>Yeah, for sure, you're do you do have an amazing

0:42:13.120 --> 0:42:15.920
<v Speaker 3>seat for sure, I'm just a participating but you you

0:42:16.000 --> 0:42:19.799
<v Speaker 3>have a much more interesting macro perspective than so many people. Yeah,

0:42:19.800 --> 0:42:20.600
<v Speaker 3>I'm jealous.

0:42:21.200 --> 0:42:21.680
<v Speaker 1>Yeah, it's fun.

0:42:21.840 --> 0:42:24.279
<v Speaker 3>Fortunately I get I get emails from you, and I

0:42:24.320 --> 0:42:27.040
<v Speaker 3>get to read those, and that's super helpful.

0:42:27.520 --> 0:42:27.719
<v Speaker 1>Yeah.

0:42:27.800 --> 0:42:30.880
<v Speaker 2>Well, I'm glad they I'm glad they help. All Right,

0:42:30.960 --> 0:42:33.439
<v Speaker 2>let's just I got one last question, probably the most

0:42:33.440 --> 0:42:34.560
<v Speaker 2>important one of the pod.

0:42:35.320 --> 0:42:36.839
<v Speaker 1>What's your favorite restaurants?

0:42:37.000 --> 0:42:39.080
<v Speaker 2>I know you're your workout of you know, you're living

0:42:39.120 --> 0:42:42.400
<v Speaker 2>in New York and Chicago as well, so you have

0:42:42.440 --> 0:42:44.600
<v Speaker 2>one in each that you're willing to mention or are

0:42:44.600 --> 0:42:47.200
<v Speaker 2>you scared to, you know, piss off maybe some of

0:42:47.239 --> 0:42:48.960
<v Speaker 2>your Michelin starred customers.

0:42:50.680 --> 0:42:53.000
<v Speaker 3>I have way more than Michelin starret customers. I have

0:42:53.080 --> 0:42:58.040
<v Speaker 3>Michelin Start James Beard, and I have regular old folks. Gosh,

0:42:58.120 --> 0:43:01.560
<v Speaker 3>I mean how that's like such a question, Mike. That's

0:43:01.640 --> 0:43:04.359
<v Speaker 3>so unfair, man.

0:43:04.440 --> 0:43:06.320
<v Speaker 2>This is the least I could do for you talking

0:43:06.320 --> 0:43:07.960
<v Speaker 2>smack about my mix.

0:43:10.600 --> 0:43:13.760
<v Speaker 3>That's true. I did. I did tweeted you and Juwan. Listen.

0:43:13.800 --> 0:43:15.239
<v Speaker 3>You should feel bad for me. You know, I grew

0:43:15.280 --> 0:43:18.760
<v Speaker 3>up in d CMO. Still a Wizards fans, possibly worse

0:43:20.200 --> 0:43:21.279
<v Speaker 3>favorite restaurants.

0:43:21.600 --> 0:43:23.719
<v Speaker 2>Just give me a good meal recently, maybe an in

0:43:24.360 --> 0:43:24.880
<v Speaker 2>each city.

0:43:24.880 --> 0:43:25.879
<v Speaker 1>Well let's do it that way.

0:43:26.600 --> 0:43:32.040
<v Speaker 3>Okay, good meal in each city. That that's that's easy. Well,

0:43:32.040 --> 0:43:34.880
<v Speaker 3>I went to an amazing meal at a restaurant in

0:43:34.960 --> 0:43:39.400
<v Speaker 3>Chicago that's a top customer fortunately called Next. Next is

0:43:39.400 --> 0:43:43.200
<v Speaker 3>an a linear group restaurant. And I've given Nick a

0:43:43.200 --> 0:43:48.560
<v Speaker 3>lot of kudos before for founding Talk, But I've been

0:43:48.600 --> 0:43:51.040
<v Speaker 3>to Royster, which is amazing in the office, which is

0:43:51.040 --> 0:43:54.719
<v Speaker 3>an incredible bar, incredible bar. But I went to X

0:43:54.800 --> 0:43:57.200
<v Speaker 3>for the first time and that's where Talk really started.

0:43:57.239 --> 0:43:59.759
<v Speaker 3>And they did a Julia Child and you was just

0:44:00.120 --> 0:44:03.040
<v Speaker 3>like the food was out of this world. The service

0:44:03.160 --> 0:44:05.440
<v Speaker 3>was out of this world. But the experience, you know,

0:44:05.480 --> 0:44:08.560
<v Speaker 3>I talked about experiences, Like at one point they served

0:44:08.560 --> 0:44:12.239
<v Speaker 3>the beef bourgignon that Julia Child was famous for, and

0:44:12.280 --> 0:44:16.800
<v Speaker 3>they brought over like this vintage little TV and plopped

0:44:16.800 --> 0:44:19.080
<v Speaker 3>it on the table and it started to play like

0:44:19.160 --> 0:44:22.600
<v Speaker 3>an episode of her show. It was like brilliant, and

0:44:22.640 --> 0:44:26.799
<v Speaker 3>all the plating was on like her types of plates,

0:44:26.840 --> 0:44:33.160
<v Speaker 3>and you know, it's just again, the food was incredible,

0:44:33.320 --> 0:44:36.799
<v Speaker 3>but the experience and the way it was presented and

0:44:36.840 --> 0:44:40.560
<v Speaker 3>the way it was described and and you know her

0:44:40.600 --> 0:44:43.399
<v Speaker 3>books The Joy Cooking, the joy in which they took

0:44:43.520 --> 0:44:46.879
<v Speaker 3>and presenting. It was like it's special. I mean, that's

0:44:47.000 --> 0:44:49.800
<v Speaker 3>part of the fine dining world I never knew about,

0:44:49.840 --> 0:44:51.680
<v Speaker 3>like honestly, I mean, you know, I was more of

0:44:51.680 --> 0:44:55.160
<v Speaker 3>a booeyemonger's guy if you remember those Oh yeah, well exactly.

0:44:55.960 --> 0:44:59.960
<v Speaker 3>So a great sandwich shop in Georgetown that great sandwiches.

0:45:00.160 --> 0:45:02.960
<v Speaker 3>But the way that you know, the folks at Next

0:45:03.440 --> 0:45:08.000
<v Speaker 3>did you know, did this sort of meal and experience

0:45:08.200 --> 0:45:13.359
<v Speaker 3>and it's just like it was. It was just like breathtaking.

0:45:13.600 --> 0:45:17.799
<v Speaker 3>So I'm gonna I'm gonna shout out you know Next

0:45:17.920 --> 0:45:22.560
<v Speaker 3>the Linear Group and the spectacular experience I had there.

0:45:23.120 --> 0:45:23.560
<v Speaker 1>Check there.

0:45:25.400 --> 0:45:29.200
<v Speaker 3>When you're in Chicago. But New York so I live

0:45:29.280 --> 0:45:31.359
<v Speaker 3>out on Long Island. I mean, god, there's so many

0:45:31.360 --> 0:45:34.560
<v Speaker 3>great restaurants in the city. I I'm I have to

0:45:34.560 --> 0:45:40.239
<v Speaker 3>think about that. Well. I mean, we have a restaurant

0:45:40.520 --> 0:45:44.560
<v Speaker 3>up in a up in Westchester, Blue Hill at Stone

0:45:44.600 --> 0:45:50.239
<v Speaker 3>Barns Restaurant, which is yeah, I just like it's it's

0:45:50.280 --> 0:45:53.560
<v Speaker 3>a college of food. Like the smells and the the

0:45:54.160 --> 0:45:58.200
<v Speaker 3>feel of walking around and the the pride and what

0:45:58.320 --> 0:46:01.000
<v Speaker 3>they take for I was there once just for a meeting,

0:46:01.080 --> 0:46:04.360
<v Speaker 3>and I was getting a coffee as I was leaving

0:46:04.520 --> 0:46:07.879
<v Speaker 3>driving back to Long Island. You know, the person who's

0:46:07.880 --> 0:46:10.759
<v Speaker 3>serving the coffee didn't know who I was, didn't know

0:46:10.800 --> 0:46:13.280
<v Speaker 3>why it was there, but the way they described the coffee.

0:46:13.320 --> 0:46:16.360
<v Speaker 3>And then a guy walked in and the person behind

0:46:16.360 --> 0:46:18.919
<v Speaker 3>the counter said, oh, and this is the farmer that's

0:46:19.000 --> 0:46:22.640
<v Speaker 3>delivering the Milton I'm putting in your coffee. It's like, whoa,

0:46:22.680 --> 0:46:27.160
<v Speaker 3>this is incredible. So, yeah, there are some amazing places

0:46:27.200 --> 0:46:29.279
<v Speaker 3>out there. There really are, and I think, you know,

0:46:29.360 --> 0:46:31.439
<v Speaker 3>we need to continually do a better job at talk

0:46:31.520 --> 0:46:35.840
<v Speaker 3>at allowing those types of places to promote themselves better

0:46:35.880 --> 0:46:38.160
<v Speaker 3>to their guests and just give them more tools to

0:46:39.160 --> 0:46:42.400
<v Speaker 3>provide that sense of hospitality that you know, quite frankly,

0:46:42.440 --> 0:46:43.960
<v Speaker 3>you're not going to get at the bootymonger. It's a

0:46:44.040 --> 0:46:46.600
<v Speaker 3>very different world. And so we need to do a

0:46:46.640 --> 0:46:49.600
<v Speaker 3>great job of, you know, helping them, you know, promote

0:46:49.600 --> 0:46:54.120
<v Speaker 3>themselves and you know, get more guests in the door

0:46:54.440 --> 0:46:57.759
<v Speaker 3>more often to experience you know what I'm fortunate to

0:46:57.800 --> 0:46:59.520
<v Speaker 3>be able to experience from time to time.

0:47:00.160 --> 0:47:03.120
<v Speaker 2>Man, I'm confident you'll be able to help them out.

0:47:03.560 --> 0:47:06.279
<v Speaker 2>I look forward to following the story and keep it

0:47:06.320 --> 0:47:06.719
<v Speaker 2>in touch.

0:47:06.760 --> 0:47:06.920
<v Speaker 1>Man.

0:47:06.920 --> 0:47:09.480
<v Speaker 2>I wish you a lot of luck. Where can the

0:47:09.520 --> 0:47:11.920
<v Speaker 2>audience go to find out more about Talk.

0:47:12.640 --> 0:47:15.319
<v Speaker 3>Well, come to explore talk dot com or download our

0:47:15.360 --> 0:47:18.440
<v Speaker 3>app and visit all our restaurants wherever you are in

0:47:18.640 --> 0:47:21.920
<v Speaker 3>North America. We have an amazing number of wineries. If

0:47:21.920 --> 0:47:23.960
<v Speaker 3>you want to go to tastings from where I live

0:47:24.000 --> 0:47:28.120
<v Speaker 3>on Long Island to Napa and Sonoma and neverwhere in between.

0:47:28.320 --> 0:47:31.880
<v Speaker 3>And that's the place to go. And if you're a

0:47:31.920 --> 0:47:34.040
<v Speaker 3>restaurant you want to work with Talk, explore talk dot

0:47:34.080 --> 0:47:37.799
<v Speaker 3>com also, but backslash join that's where you go.

0:47:38.320 --> 0:47:40.640
<v Speaker 1>And yeahs good stuff.

0:47:40.680 --> 0:47:43.279
<v Speaker 2>Thanks again for doing this, Thank you Mike, good to

0:47:43.320 --> 0:47:45.840
<v Speaker 2>see you same and big thanks to the audience for

0:47:45.880 --> 0:47:48.400
<v Speaker 2>tuning in. If you liked the episode, please leave us

0:47:48.400 --> 0:47:49.720
<v Speaker 2>a rating and click the bell.

0:47:49.560 --> 0:47:50.839
<v Speaker 1>If you'd like to subscribe.

0:47:50.960 --> 0:47:53.800
<v Speaker 2>Check back soon for a conversation about restaurant m and

0:47:53.880 --> 0:47:57.280
<v Speaker 2>A with a. Sheesh Seth, the founder and managing director

0:47:57.320 --> 0:48:17.040
<v Speaker 2>of Harrington Park Advisors,