WEBVTT - Checkmate’s CEO on Voice AI, Kiosks, Catering

0:00:11.920 --> 0:00:14.600
<v Speaker 1>Welcome to Chopping it Up. I'm your host, Mike hallon

0:00:14.640 --> 0:00:18.480
<v Speaker 1>the senior restaurant food Service Analysts at Bloomberg Intelligence, our

0:00:18.520 --> 0:00:20.919
<v Speaker 1>research and that a BIS five hundred analysts around the

0:00:20.960 --> 0:00:24.440
<v Speaker 1>globe can be found exclusively on the Bloomberg terminal. If

0:00:24.480 --> 0:00:26.360
<v Speaker 1>you enjoy the pod, I'd love it if you could

0:00:26.400 --> 0:00:29.760
<v Speaker 1>leave us a review on Apple or Spotify. Today I'm

0:00:29.800 --> 0:00:33.479
<v Speaker 1>joined by Vishal Agarwal, the founder and CEO of Checkmate.

0:00:33.560 --> 0:00:34.839
<v Speaker 1>Thanks for joining me, Mishelle.

0:00:35.600 --> 0:00:38.680
<v Speaker 2>Thank you, Mike. Thanks for having me. It's fun to

0:00:38.720 --> 0:00:41.600
<v Speaker 2>be here. I get your emails pretty regularly, Like I

0:00:41.600 --> 0:00:43.479
<v Speaker 2>have a pretty good span blocker, but I get your

0:00:43.479 --> 0:00:47.680
<v Speaker 2>emails pretty consistently consistently in my inbox. So glad to

0:00:47.760 --> 0:00:49.839
<v Speaker 2>be here. Looking forward to seeing my name on there.

0:00:50.760 --> 0:00:51.480
<v Speaker 2>Thank you man.

0:00:51.680 --> 0:00:54.600
<v Speaker 1>I'm excited for the interview. You look sharp in your

0:00:54.640 --> 0:00:59.120
<v Speaker 1>LinkedIn profile. Pick be honest. Who sported the leather jacket first?

0:00:59.280 --> 0:01:03.000
<v Speaker 1>Was it you for Jensen Huang and video ceo?

0:01:03.960 --> 0:01:06.080
<v Speaker 2>Yeah? I hadn't heard of in video back then. You

0:01:06.120 --> 0:01:12.840
<v Speaker 2>know true story that pick is from my free wedding shoot.

0:01:12.959 --> 0:01:16.080
<v Speaker 2>So we were doing a pre wedding shoot and I'm like, wait,

0:01:16.120 --> 0:01:19.160
<v Speaker 2>I don't have a good LinkedIn profile picture. Can you

0:01:19.240 --> 0:01:21.480
<v Speaker 2>just make one into a professional one? They're like sure,

0:01:22.240 --> 0:01:25.160
<v Speaker 2>and the background I'm pretty sure it's not evident there.

0:01:25.160 --> 0:01:31.000
<v Speaker 2>But the background is actually a shape shot. It's at

0:01:31.040 --> 0:01:34.319
<v Speaker 2>Madison Park here in Manhattan. I love that park, and

0:01:34.400 --> 0:01:37.560
<v Speaker 2>the shake shot right in the middle there, so that's

0:01:37.600 --> 0:01:38.319
<v Speaker 2>where it shot at.

0:01:38.400 --> 0:01:40.399
<v Speaker 1>Yeah, oh good stuff.

0:01:40.400 --> 0:01:40.560
<v Speaker 2>Man.

0:01:40.680 --> 0:01:43.679
<v Speaker 1>Listen for the record, I prefer your style. Jensen goes

0:01:43.720 --> 0:01:46.600
<v Speaker 1>a little over the top in my personal opinion.

0:01:46.840 --> 0:01:49.240
<v Speaker 2>I will let him know. I think that's good feedback

0:01:49.240 --> 0:01:51.000
<v Speaker 2>for him. Thank you.

0:01:53.480 --> 0:01:55.360
<v Speaker 1>All right, So let's start at the beginning. How did

0:01:55.480 --> 0:01:56.360
<v Speaker 1>checkmate come to be?

0:01:57.600 --> 0:02:00.560
<v Speaker 2>How did Checkmate come to be? It's so funny. I'm

0:02:00.560 --> 0:02:03.200
<v Speaker 2>based in New York. I've always been based here and

0:02:03.240 --> 0:02:07.760
<v Speaker 2>moved here from India in about early twenty twelve. But

0:02:07.760 --> 0:02:10.680
<v Speaker 2>the funniest thing is that this idea did spark off

0:02:11.240 --> 0:02:14.880
<v Speaker 2>from San Francisco, right, so, as they say, the mothership

0:02:14.919 --> 0:02:19.639
<v Speaker 2>always has some bearing no matter where you're at. I

0:02:19.680 --> 0:02:23.800
<v Speaker 2>was working for an e commerce retail company here, wanted

0:02:23.840 --> 0:02:26.280
<v Speaker 2>to try out something new, wanted to, you know, build

0:02:26.520 --> 0:02:29.960
<v Speaker 2>a solution to an existing problem. And I was dining

0:02:30.000 --> 0:02:35.760
<v Speaker 2>in at at a restaurant at the SF airport and

0:02:36.000 --> 0:02:38.160
<v Speaker 2>it was just taking an enormous amount of time for

0:02:38.160 --> 0:02:41.600
<v Speaker 2>me to get my check and like I could miss

0:02:41.600 --> 0:02:44.800
<v Speaker 2>my flight, right, So that's where the idea came from.

0:02:45.040 --> 0:02:47.320
<v Speaker 2>Was the first idea that we had was to build

0:02:47.360 --> 0:02:49.919
<v Speaker 2>a mobile app that you could use to pay and

0:02:49.960 --> 0:02:53.280
<v Speaker 2>split your check when you're dining in in restaurants, so

0:02:53.440 --> 0:02:54.800
<v Speaker 2>you know, you don't have to wait for the server

0:02:54.880 --> 0:02:57.000
<v Speaker 2>to bring your check, you don't have to spend time

0:02:57.040 --> 0:03:01.079
<v Speaker 2>in splitting all of that. Right. That's why the name

0:03:01.280 --> 0:03:06.040
<v Speaker 2>Checkmate and our website is it's a Checkmate dot Com

0:03:06.080 --> 0:03:08.760
<v Speaker 2>because somebody was asking me for two hundred thousand dollars

0:03:08.800 --> 0:03:14.639
<v Speaker 2>for Checkmate dot Com in twenty fifteen, and it's a

0:03:14.720 --> 0:03:17.800
<v Speaker 2>Checkmate was twelve dollars. I said, that was one of

0:03:17.880 --> 0:03:20.080
<v Speaker 2>the easiest decisions that I've ever made in my life.

0:03:20.440 --> 0:03:22.440
<v Speaker 2>You know, I'll go with it to Checkmate dot com.

0:03:22.480 --> 0:03:27.239
<v Speaker 2>So that's that's how we started, right, And then that's background.

0:03:28.000 --> 0:03:31.040
<v Speaker 1>That's great for the listeners. Mishal and I met at

0:03:31.080 --> 0:03:33.600
<v Speaker 1>the very first Food on Demand conference, which was in

0:03:33.720 --> 0:03:37.240
<v Speaker 1>Dallas back in twenty eighteen. Your comments about who owns

0:03:37.520 --> 0:03:39.400
<v Speaker 1>customer data really calls the ruckus.

0:03:42.000 --> 0:03:46.000
<v Speaker 2>It did it did, like, I still remember that Drinkydinky hotel,

0:03:46.160 --> 0:03:48.400
<v Speaker 2>that that small lobby that was supposed to be a

0:03:48.440 --> 0:03:53.000
<v Speaker 2>conference based food and demand has come a massive, massive

0:03:53.040 --> 0:03:56.720
<v Speaker 2>way since then. But you know, we started with that

0:03:56.760 --> 0:04:00.560
<v Speaker 2>mobile app Checkmate, and I was going door to door

0:04:00.640 --> 0:04:08.320
<v Speaker 2>selling to various restaurants and an operator said like, hey, listen,

0:04:08.360 --> 0:04:11.000
<v Speaker 2>what are you selling me? Seems like a nice to have,

0:04:11.920 --> 0:04:14.600
<v Speaker 2>but come here, come just come behind the counter and

0:04:14.600 --> 0:04:18.200
<v Speaker 2>I'll show you what the real problem is. And what

0:04:18.240 --> 0:04:20.839
<v Speaker 2>he showed me, I'm like, okay, this is a problem

0:04:20.880 --> 0:04:24.880
<v Speaker 2>worth solving. Where he had two POS systems and at

0:04:25.000 --> 0:04:30.240
<v Speaker 2>least nine other tablets, and a customer had to tower

0:04:30.600 --> 0:04:34.160
<v Speaker 2>over those tablets to place an order with the restaurants,

0:04:34.200 --> 0:04:37.680
<v Speaker 2>so they were literally creating a wall between their customers

0:04:37.720 --> 0:04:40.600
<v Speaker 2>and themselves. Like why do you exist in the first place? Right?

0:04:42.320 --> 0:04:44.479
<v Speaker 2>That's how you know we looked at that problem. We said,

0:04:44.480 --> 0:04:46.720
<v Speaker 2>this is a problem worth solving. We went down the

0:04:46.800 --> 0:04:51.040
<v Speaker 2>route of let's integrate these orders into the POS systems.

0:04:52.560 --> 0:04:55.520
<v Speaker 2>You know, in a startup, you usually make if you

0:04:55.520 --> 0:04:58.279
<v Speaker 2>make one hundred decisions, ninety eight of them, you're like,

0:04:58.320 --> 0:05:00.640
<v Speaker 2>why in God's name did I make those? But there

0:05:00.640 --> 0:05:03.400
<v Speaker 2>are a couple that stick with you through your journey. Right.

0:05:03.839 --> 0:05:06.680
<v Speaker 2>The one thing that we decided since day one is

0:05:06.720 --> 0:05:09.520
<v Speaker 2>we're not going to consolidate all of those orders into

0:05:09.600 --> 0:05:14.280
<v Speaker 2>yet another tablet. We'll go straight to the prs And

0:05:14.320 --> 0:05:17.080
<v Speaker 2>that was a harder route, but it has served us

0:05:17.120 --> 0:05:20.680
<v Speaker 2>so well and that's the entire foundation today on which

0:05:20.720 --> 0:05:23.960
<v Speaker 2>our business has been built. So that's how we got

0:05:24.000 --> 0:05:27.560
<v Speaker 2>the start with, you know, integrating third party platforms into

0:05:27.600 --> 0:05:31.599
<v Speaker 2>the POS systems. A couple of POSS they had APIs

0:05:32.000 --> 0:05:36.039
<v Speaker 2>with the third party platforms. We scraped emails and pushed

0:05:36.080 --> 0:05:41.200
<v Speaker 2>them through the POS system, became large enough for the

0:05:41.240 --> 0:05:44.280
<v Speaker 2>third party platforms to give us API access and then

0:05:44.360 --> 0:05:45.080
<v Speaker 2>grew from there.

0:05:47.320 --> 0:05:50.880
<v Speaker 1>Yeah, it was that was a crazy time tablet hell

0:05:51.000 --> 0:05:53.920
<v Speaker 1>and people having to read off a tablet and punch

0:05:54.000 --> 0:05:58.240
<v Speaker 1>the order into the POS ordering accuracies or through the roof.

0:06:00.320 --> 0:06:00.480
<v Speaker 2>Man.

0:06:00.520 --> 0:06:02.600
<v Speaker 1>That was definitely a good problem for you to solve.

0:06:05.200 --> 0:06:08.680
<v Speaker 2>Not just that though, not just that. The one thing

0:06:08.720 --> 0:06:10.840
<v Speaker 2>that always blew my mind whenever I walked into a

0:06:10.839 --> 0:06:14.839
<v Speaker 2>new restaurant here, especially in lunchtime, is all of those

0:06:14.880 --> 0:06:19.160
<v Speaker 2>tablets will be going off at the same time, right,

0:06:19.200 --> 0:06:20.960
<v Speaker 2>So imagine if you have a phone in your pocket,

0:06:21.040 --> 0:06:23.320
<v Speaker 2>it starts ringing. What's your first instinct, like, have to

0:06:23.360 --> 0:06:27.160
<v Speaker 2>shut it right? And I imagine you're a staff, you're

0:06:27.200 --> 0:06:30.080
<v Speaker 2>a deployee standing behind the counter, there's a line of

0:06:30.120 --> 0:06:34.200
<v Speaker 2>customers waiting, and you have six other mobile phones going

0:06:34.240 --> 0:06:37.760
<v Speaker 2>off at the same time. That always blew my mind.

0:06:37.800 --> 0:06:39.320
<v Speaker 2>So it was really fun to solve it.

0:06:40.640 --> 0:06:45.320
<v Speaker 1>So you expanded your offering pretty significantly from there.

0:06:45.520 --> 0:06:51.120
<v Speaker 2>What was next? So obviously it was the right problem

0:06:51.160 --> 0:06:54.680
<v Speaker 2>at the right time integrating third party orders into the

0:06:54.680 --> 0:06:59.440
<v Speaker 2>POS systems. Worked with five guys on next larger enterprise customers.

0:06:59.560 --> 0:07:02.599
<v Speaker 2>Rbs it's buyer Brands is also an investor in US,

0:07:03.440 --> 0:07:06.240
<v Speaker 2>and as we scaled that out, what we realized was

0:07:07.200 --> 0:07:10.160
<v Speaker 2>we can't survive if we are a one point solution,

0:07:10.720 --> 0:07:14.040
<v Speaker 2>which means if you're only doing the third party degradation,

0:07:14.120 --> 0:07:16.640
<v Speaker 2>they're going to last very long. So we had to

0:07:16.680 --> 0:07:20.320
<v Speaker 2>diversify and add products that were tangential to what we

0:07:20.320 --> 0:07:25.000
<v Speaker 2>were already providing. The next obvious stop was first party ordering.

0:07:26.280 --> 0:07:29.880
<v Speaker 2>We were working with brands like RB's Sonic, buffaloil Wings

0:07:29.880 --> 0:07:34.360
<v Speaker 2>five guys, so we had the enterprise capability and now

0:07:34.400 --> 0:07:38.600
<v Speaker 2>we wanted to add a first party ordering, and you know,

0:07:39.240 --> 0:07:44.320
<v Speaker 2>referencing back to that all time famous conference, it was

0:07:44.360 --> 0:07:48.000
<v Speaker 2>always a fight between of them versus us, first party

0:07:48.080 --> 0:07:52.080
<v Speaker 2>versus third party, right, and my stance since then has

0:07:52.120 --> 0:07:55.840
<v Speaker 2>always been, it's not them versus us, but a restaurant operator.

0:07:55.960 --> 0:08:02.080
<v Speaker 2>It's part of the same value chain to have both. Right,

0:08:02.280 --> 0:08:05.360
<v Speaker 2>Unless you're a Dominos or a subway, you're not going

0:08:05.400 --> 0:08:07.960
<v Speaker 2>to have the kind of marketing reach that a door

0:08:08.040 --> 0:08:10.960
<v Speaker 2>Dash or a grap or a new Breed has. Use

0:08:11.000 --> 0:08:14.040
<v Speaker 2>those platforms to gain customers, and when you've gotten some

0:08:14.120 --> 0:08:17.920
<v Speaker 2>loyal customers, allow them to order directly with you. So

0:08:17.960 --> 0:08:21.960
<v Speaker 2>it's part of the same bucket. We were only offering

0:08:22.000 --> 0:08:24.040
<v Speaker 2>a part of that bucket. So then we added a

0:08:24.080 --> 0:08:26.880
<v Speaker 2>first party solution to us. So we acquired a company

0:08:27.000 --> 0:08:31.160
<v Speaker 2>in March of twenty twenty three, right, very small company,

0:08:31.280 --> 0:08:36.320
<v Speaker 2>really solid product, and started offering first party web and

0:08:36.400 --> 0:08:40.280
<v Speaker 2>app solution and a very very strong catering platform as well.

0:08:40.280 --> 0:08:42.840
<v Speaker 2>With it first party catering, so if somebody came to

0:08:42.960 --> 0:08:47.000
<v Speaker 2>your site, you could audit catering from there. What we've

0:08:47.040 --> 0:08:50.320
<v Speaker 2>also done is built a Kiosk solution on top of

0:08:50.360 --> 0:08:56.920
<v Speaker 2>that platform to basically be able to provide the customers

0:08:57.000 --> 0:09:02.560
<v Speaker 2>a very holistic sense of their digital ordering channels, and

0:09:02.600 --> 0:09:06.840
<v Speaker 2>like I was saying earlier, the fundamental foundation of all

0:09:06.880 --> 0:09:13.160
<v Speaker 2>of this, the fundamental foundation has always been the POS integration, right,

0:09:13.640 --> 0:09:17.800
<v Speaker 2>because if we think back to the days of multiple

0:09:17.840 --> 0:09:22.640
<v Speaker 2>tablets on a tablet on a tabletop, what coused a

0:09:22.720 --> 0:09:28.160
<v Speaker 2>problem is these were all disintegrated, disjointed solutions. They were

0:09:28.200 --> 0:09:32.520
<v Speaker 2>providing the revenue, but at what cost. I'm earning one

0:09:32.559 --> 0:09:34.960
<v Speaker 2>hundred dollars, but it's costing me eighty dollars just to

0:09:35.000 --> 0:09:39.959
<v Speaker 2>maintain that revenue. Right, at first, that one hundred dollars

0:09:39.960 --> 0:09:43.080
<v Speaker 2>seemed good. When the accounting team got up, They're like,

0:09:43.440 --> 0:09:46.400
<v Speaker 2>it's not that good. So what a lot of the

0:09:46.480 --> 0:09:49.959
<v Speaker 2>enterprise customers started demanding was I just need a solution

0:09:50.120 --> 0:09:54.040
<v Speaker 2>that works with my core system. And my core system

0:09:54.160 --> 0:09:58.600
<v Speaker 2>is the POS. So we have the third party integration

0:09:58.720 --> 0:10:01.720
<v Speaker 2>built on top of the POS. The first party solution

0:10:02.760 --> 0:10:05.640
<v Speaker 2>just works out of the box, integrated with the POS.

0:10:06.080 --> 0:10:10.480
<v Speaker 2>Catering works with the POS. Kiosk you eighty six something

0:10:10.520 --> 0:10:13.000
<v Speaker 2>on a POS, it goes out to all of your channels.

0:10:13.640 --> 0:10:17.360
<v Speaker 2>Kiosk orders print to your POS. Right, So we're providing

0:10:17.400 --> 0:10:23.120
<v Speaker 2>this holistic digital ordering suite to the restaurant operators, primarily

0:10:23.160 --> 0:10:29.560
<v Speaker 2>to enterprise operators. As we continued moving on, the next

0:10:29.559 --> 0:10:34.480
<v Speaker 2>big opportunity that came to us was the drive through

0:10:34.520 --> 0:10:41.959
<v Speaker 2>AI right or in general voice AI solution. Again, as

0:10:42.000 --> 0:10:46.120
<v Speaker 2>we looked at the market and saw the rapid evolution

0:10:46.280 --> 0:10:50.040
<v Speaker 2>of AI, we realized a lot of the companies that

0:10:50.080 --> 0:10:52.800
<v Speaker 2>were developing these solutions were spending fifty percent of their

0:10:52.840 --> 0:10:56.800
<v Speaker 2>time and just doing POS integrations. That's when I, like

0:10:56.880 --> 0:11:00.800
<v Speaker 2>bubbe hit like, we already have this right week, so

0:11:01.000 --> 0:11:05.640
<v Speaker 2>why don't we do the other fifty So we acquired

0:11:05.679 --> 0:11:12.360
<v Speaker 2>a small team along with the you know, code that

0:11:12.400 --> 0:11:15.760
<v Speaker 2>they had developed and the software they developed, to start

0:11:15.800 --> 0:11:19.360
<v Speaker 2>down this journey of developing a very robust right through

0:11:19.360 --> 0:11:24.719
<v Speaker 2>AI and a voice AI solution again going to come

0:11:24.720 --> 0:11:27.800
<v Speaker 2>back to the same point or just integrated with your

0:11:27.840 --> 0:11:31.640
<v Speaker 2>POS it just works right out of the game. So

0:11:31.760 --> 0:11:34.319
<v Speaker 2>that's where the evolution of our journey has taken us

0:11:34.760 --> 0:11:40.480
<v Speaker 2>to focusing on continue to provide enterprise grade digital ordering

0:11:40.559 --> 0:11:47.480
<v Speaker 2>channels so that the restaurant operators can be omnipresent. All right,

0:11:47.480 --> 0:11:48.040
<v Speaker 2>good stuff.

0:11:48.240 --> 0:11:50.880
<v Speaker 1>I'd like to dig into those verticals a little bit too.

0:11:52.120 --> 0:11:55.080
<v Speaker 1>What kind of average check increases are your kiosk customers

0:11:55.120 --> 0:11:58.359
<v Speaker 1>getting from the technology and how much of the improvement

0:11:58.640 --> 0:12:02.520
<v Speaker 1>is more consistent up selling versus giving customers more time

0:12:02.559 --> 0:12:05.680
<v Speaker 1>to browse the menu versus the fact that credit card

0:12:05.679 --> 0:12:07.240
<v Speaker 1>customers just tend to spend more.

0:12:09.880 --> 0:12:13.199
<v Speaker 2>That was our hypothesis as well, right when we were

0:12:13.360 --> 0:12:16.520
<v Speaker 2>getting into kiosk, Right, that's what everyone claimed, like, hey,

0:12:16.520 --> 0:12:18.719
<v Speaker 2>we will increase your average check size by fifteen to

0:12:18.760 --> 0:12:25.480
<v Speaker 2>twenty percent. We're not necessarily seeing that right at the

0:12:25.600 --> 0:12:29.160
<v Speaker 2>end of the day, Like again, these I go back

0:12:29.200 --> 0:12:31.920
<v Speaker 2>to the statement that one of the initial prisoner had

0:12:31.960 --> 0:12:35.080
<v Speaker 2>told me, what's the nice to have versus what they

0:12:35.120 --> 0:12:39.400
<v Speaker 2>must have? Chiosks have made a comeback into having into

0:12:39.480 --> 0:12:42.560
<v Speaker 2>being a must have, whether it is going to increase

0:12:42.559 --> 0:12:47.280
<v Speaker 2>your average check size or not. Right when I've spoken

0:12:47.320 --> 0:12:51.280
<v Speaker 2>with enterprise brands walked into their restaurants, spends time on

0:12:51.360 --> 0:12:55.679
<v Speaker 2>the floor that have chaosks, their thought is it may

0:12:55.760 --> 0:12:59.120
<v Speaker 2>or may not increase check size, it may or may

0:12:59.160 --> 0:13:02.080
<v Speaker 2>not save labor, because those are the two biggest selling

0:13:02.120 --> 0:13:07.680
<v Speaker 2>points of chiosks. Right, but today customers have come to

0:13:07.720 --> 0:13:14.320
<v Speaker 2>expect a kiosk. So if you're not doing kiosk you're

0:13:14.320 --> 0:13:19.079
<v Speaker 2>taking away one of their preferred channels. So it's not

0:13:19.160 --> 0:13:22.400
<v Speaker 2>necessarily about like, hey, come here and spend more. It's like,

0:13:22.520 --> 0:13:26.960
<v Speaker 2>come use the channel that's more preferred to you. So

0:13:27.040 --> 0:13:29.800
<v Speaker 2>if you want to come in browse at leisure, you

0:13:29.840 --> 0:13:31.960
<v Speaker 2>don't want to have the social pressure of the person

0:13:32.000 --> 0:13:35.240
<v Speaker 2>in front of you or the light behind you. Use

0:13:35.280 --> 0:13:38.880
<v Speaker 2>a kiosk. Right. A couple of the brands that we

0:13:38.920 --> 0:13:43.400
<v Speaker 2>spoke with and actually went and saw, what they said

0:13:43.559 --> 0:13:45.920
<v Speaker 2>was we've just moved the labor from behind the counter

0:13:46.000 --> 0:13:51.920
<v Speaker 2>to the floor. You know what I'm saying. A customer

0:13:51.960 --> 0:13:55.200
<v Speaker 2>walks in the door, You greet the customer, you tell

0:13:55.200 --> 0:13:57.800
<v Speaker 2>them like, please order here. If you need assistance, I'm here.

0:13:57.880 --> 0:14:02.240
<v Speaker 2>Otherwise I will leave you. Right, So you're increasing that

0:14:02.360 --> 0:14:05.400
<v Speaker 2>touch point, you're taking away the barrier of that counter

0:14:05.480 --> 0:14:09.520
<v Speaker 2>and the pos So it's been very eye opening in

0:14:09.600 --> 0:14:14.240
<v Speaker 2>terms of how we are selling this. We did invent kiosks.

0:14:14.320 --> 0:14:17.480
<v Speaker 2>We're not going to revolutionize kiosks, but we want to

0:14:17.520 --> 0:14:20.680
<v Speaker 2>provide a channel that seamlessly just works out of the

0:14:20.720 --> 0:14:24.240
<v Speaker 2>box and provides a great user experience for the brands

0:14:24.240 --> 0:14:25.600
<v Speaker 2>and for the diners.

0:14:26.760 --> 0:14:29.680
<v Speaker 1>Yeah, it definitely frees up employees to do more high

0:14:29.760 --> 0:14:32.800
<v Speaker 1>value jobs and just bring up a cash redit sure, right,

0:14:32.840 --> 0:14:37.720
<v Speaker 1>and i'd imagine you know, your clients are seeing, you know,

0:14:37.880 --> 0:14:41.280
<v Speaker 1>an impact on employee turnover and employee satisfaction.

0:14:42.720 --> 0:14:44.880
<v Speaker 2>We are starting to roll this out with a couple

0:14:44.880 --> 0:14:50.520
<v Speaker 2>of pilot with one in rollout with another large enterprise

0:14:50.600 --> 0:14:56.680
<v Speaker 2>customer in the three hundred plus location range, and the

0:14:56.720 --> 0:14:59.120
<v Speaker 2>conversation with both of them started off is like, yeah,

0:14:59.160 --> 0:15:01.080
<v Speaker 2>I don't think so we need Kiosk. I said, how

0:15:01.080 --> 0:15:05.200
<v Speaker 2>do you know, why don't you try this out at

0:15:05.240 --> 0:15:08.960
<v Speaker 2>one two locations on our die and see if it works.

0:15:09.000 --> 0:15:11.440
<v Speaker 2>We won't charge anything, and if it doesn't work, you know,

0:15:11.520 --> 0:15:13.840
<v Speaker 2>keep the hardware or shape it back. We don't care, right,

0:15:14.480 --> 0:15:17.280
<v Speaker 2>And that's maybe starting to see more openness and adoption.

0:15:17.400 --> 0:15:20.400
<v Speaker 2>Take oh, our customers are actually coming in and using it,

0:15:21.120 --> 0:15:23.200
<v Speaker 2>and now can we have more options there? And can

0:15:23.240 --> 0:15:26.560
<v Speaker 2>we have pizza sliced in a few different ways there? Right?

0:15:26.960 --> 0:15:29.640
<v Speaker 2>So yeah, that's what we're seeing exciting things about it.

0:15:30.680 --> 0:15:33.480
<v Speaker 1>Yeah, it's really interesting too how sometimes some of these

0:15:33.480 --> 0:15:36.520
<v Speaker 1>companies are maybe a little too early with technology. I

0:15:36.560 --> 0:15:40.280
<v Speaker 1>mean Jack in the Box installed Kiosks in their restaurants

0:15:40.320 --> 0:15:45.080
<v Speaker 1>a decade ago. Wow, uninstalled them and then went back.

0:15:45.800 --> 0:15:47.400
<v Speaker 2>Did not know that? Wow?

0:15:47.640 --> 0:15:51.560
<v Speaker 1>Okay, yeah, yeah, So it's it's interesting, man. I think

0:15:51.640 --> 0:15:54.800
<v Speaker 1>some can be a little too early. I know Brinkers

0:15:54.800 --> 0:16:01.120
<v Speaker 1>tried out robot bussers right and those, but who knows,

0:16:01.160 --> 0:16:04.240
<v Speaker 1>maybe a decade from now they will and things have.

0:16:04.320 --> 0:16:07.160
<v Speaker 2>Changed so much the hardware what you can do with

0:16:07.240 --> 0:16:07.920
<v Speaker 2>the software.

0:16:10.000 --> 0:16:16.160
<v Speaker 1>So yeah, and catering is another interesting vertical. A lot

0:16:16.240 --> 0:16:18.920
<v Speaker 1>of the companies I cover our working to expand their

0:16:18.960 --> 0:16:23.040
<v Speaker 1>catering business, including Chapaulae through their Hat and the Ring.

0:16:23.760 --> 0:16:27.240
<v Speaker 1>On their first quarter earnings call, are you seeing increasing

0:16:27.280 --> 0:16:31.320
<v Speaker 1>demand from your customers for a catering solution?

0:16:31.840 --> 0:16:35.600
<v Speaker 2>Yeah, In addition to the drive through the a solution

0:16:35.680 --> 0:16:38.520
<v Speaker 2>that we're working on, catering is our biggest opportunity. We

0:16:38.560 --> 0:16:42.760
<v Speaker 2>have definitely seen that a lot of the brands are looky.

0:16:42.880 --> 0:16:47.040
<v Speaker 2>The funny thing about catering is it's it's like an iceberg.

0:16:47.920 --> 0:16:50.560
<v Speaker 2>Only twenty percent of it is visible above the surface.

0:16:50.720 --> 0:16:54.720
<v Speaker 2>Eighty percent of the work actually happens behind behind the scenes.

0:16:54.760 --> 0:17:00.920
<v Speaker 2>So if it's a restaurant operator, you know, manager for

0:17:01.000 --> 0:17:06.479
<v Speaker 2>a brand, their ability to take in orders, to schedule orders,

0:17:06.600 --> 0:17:09.320
<v Speaker 2>to provide a timeline, to provide a cutoff, to do

0:17:09.400 --> 0:17:12.720
<v Speaker 2>a minimum, to do a maximum, to reroute orders, to

0:17:12.760 --> 0:17:16.560
<v Speaker 2>do a house account. All of these functionalities are actually

0:17:16.600 --> 0:17:19.679
<v Speaker 2>behind the scenes. So the catering interface honestly is the

0:17:19.720 --> 0:17:23.199
<v Speaker 2>easier one. And that's why when we looked at the

0:17:23.240 --> 0:17:26.040
<v Speaker 2>catering market and then compare it with the solution that

0:17:26.119 --> 0:17:28.199
<v Speaker 2>we have, we were like, this is really good. And

0:17:28.240 --> 0:17:31.560
<v Speaker 2>we actually ran this by a few independent consultants as well,

0:17:32.359 --> 0:17:35.440
<v Speaker 2>and again that's where we are seeing a huge opportunity

0:17:35.440 --> 0:17:39.200
<v Speaker 2>and scope for growth because now this gives the brands

0:17:39.240 --> 0:17:44.399
<v Speaker 2>and ability to create a catering sales program around it

0:17:44.480 --> 0:17:46.880
<v Speaker 2>and to create targets because now they have the tools

0:17:46.920 --> 0:17:52.960
<v Speaker 2>and the solution that can empower them to do more. Right. So, yeah,

0:17:53.040 --> 0:17:55.440
<v Speaker 2>definitely seeing a lot of growth there.

0:17:57.200 --> 0:18:01.719
<v Speaker 1>Very cool. Last year McDonald donalds they ended their AI

0:18:02.480 --> 0:18:07.040
<v Speaker 1>voice trial with IBM after some well publicized issues. On

0:18:07.080 --> 0:18:09.960
<v Speaker 1>the other hand, Taco Bell and Wendy's are ramping up

0:18:10.000 --> 0:18:13.199
<v Speaker 1>their trials. What have been some of the issues with

0:18:13.320 --> 0:18:16.440
<v Speaker 1>voice AI to date and when do you think it'll

0:18:16.440 --> 0:18:19.360
<v Speaker 1>be ubiquitous.

0:18:20.080 --> 0:18:23.320
<v Speaker 2>When you think about voice AI, right, we're kind of

0:18:23.359 --> 0:18:27.040
<v Speaker 2>segregating it into two aspects. One is a phone ordering AI.

0:18:27.760 --> 0:18:33.040
<v Speaker 2>I think that's ubiquitous today, right if the people doing

0:18:33.080 --> 0:18:36.680
<v Speaker 2>that can get the menu right. Right, It's not about

0:18:36.680 --> 0:18:39.360
<v Speaker 2>the phone ordering, It's not about the AI anymore. It's

0:18:39.840 --> 0:18:42.760
<v Speaker 2>a huge comportit of that is the menu right. The

0:18:42.880 --> 0:18:46.240
<v Speaker 2>number of people I personally get approached by somebody saying, hey,

0:18:46.280 --> 0:18:49.600
<v Speaker 2>I have a phone AI startup and here's a demo,

0:18:50.720 --> 0:18:52.520
<v Speaker 2>and my only question to them is have you ever

0:18:52.560 --> 0:18:56.119
<v Speaker 2>connected this to a real pos and then have a

0:18:56.160 --> 0:18:59.720
<v Speaker 2>customer order? That's when the rubber hits the road, right

0:19:02.000 --> 0:19:04.920
<v Speaker 2>on the drive through AI side, which is where majority

0:19:04.960 --> 0:19:07.080
<v Speaker 2>of our focus and attention is right now, where we

0:19:07.119 --> 0:19:10.679
<v Speaker 2>also see the largest opportunity. We think that market is,

0:19:11.480 --> 0:19:16.760
<v Speaker 2>if not one, maybe two years out from being in

0:19:16.840 --> 0:19:22.360
<v Speaker 2>a place where you can easily roll out and support

0:19:22.520 --> 0:19:27.280
<v Speaker 2>hundreds and thousands of locations. Right now, what we are

0:19:27.359 --> 0:19:30.000
<v Speaker 2>focused on is just one or two brands and getting

0:19:30.080 --> 0:19:37.359
<v Speaker 2>the experience absolutely right for them. The long tail here, Mike,

0:19:37.800 --> 0:19:43.960
<v Speaker 2>is really really law right. Just think about the interface.

0:19:45.200 --> 0:19:47.560
<v Speaker 2>You open up your Uber Eats app and you want

0:19:47.560 --> 0:19:52.560
<v Speaker 2>to order a chicken burger. They will tell you exactly

0:19:52.640 --> 0:19:55.800
<v Speaker 2>how to order it. They are guiding the interface. You

0:19:55.840 --> 0:19:58.560
<v Speaker 2>think you are selecting, but they're telling you this is

0:19:58.600 --> 0:20:01.760
<v Speaker 2>the only way to order. You select one year, two year, three? Here,

0:20:02.520 --> 0:20:05.960
<v Speaker 2>how many modifiers, how many additions, divisions and submit? It's

0:20:06.240 --> 0:20:12.159
<v Speaker 2>very very defined. Drive through AI boys AI takes away

0:20:12.200 --> 0:20:17.040
<v Speaker 2>that interface, takes away those boundaries. So now like I

0:20:17.200 --> 0:20:20.800
<v Speaker 2>myself listen to over one hundred live calls from customers

0:20:21.400 --> 0:20:26.679
<v Speaker 2>every single week, my mind is the same order, how

0:20:26.760 --> 0:20:28.840
<v Speaker 2>many different ways can they be to order it? But

0:20:28.920 --> 0:20:33.679
<v Speaker 2>there are because every individual is different, and that is

0:20:33.760 --> 0:20:36.760
<v Speaker 2>what you know. Obviously, the technology is advanced massively and

0:20:36.840 --> 0:20:39.720
<v Speaker 2>we are catching up. So what maybe was a five

0:20:39.800 --> 0:20:41.720
<v Speaker 2>year time frame has become a one one and a

0:20:41.720 --> 0:20:44.120
<v Speaker 2>half year time frame. But that's how we are looking

0:20:44.160 --> 0:20:52.000
<v Speaker 2>at this is if we, as responsible restaurant technology solution providers,

0:20:53.080 --> 0:20:56.439
<v Speaker 2>want to provide solution that the brands can rely on,

0:20:56.520 --> 0:20:59.639
<v Speaker 2>that they can trust us with, we have to go

0:20:59.760 --> 0:21:04.280
<v Speaker 2>slough first. If we start saying like we haven't drive

0:21:04.359 --> 0:21:07.200
<v Speaker 2>through the ice solution that's at ninety five percent accuracy

0:21:07.240 --> 0:21:09.320
<v Speaker 2>and I can service twenty brands at the same time,

0:21:10.320 --> 0:21:12.680
<v Speaker 2>you're going to burn the entire industry down. No one's

0:21:12.680 --> 0:21:17.520
<v Speaker 2>ever going to trust anyone else ever again, right, So again,

0:21:18.720 --> 0:21:20.800
<v Speaker 2>it just feels like, you know, it's a new startup

0:21:20.840 --> 0:21:24.280
<v Speaker 2>all over again, and we are working on this problem,

0:21:24.480 --> 0:21:26.840
<v Speaker 2>being deep in the trenches and traveling next week to

0:21:26.880 --> 0:21:30.800
<v Speaker 2>be on site, to be to listen to actual customer interactions.

0:21:31.440 --> 0:21:35.520
<v Speaker 2>But such an exciting, such an exciting space to be

0:21:35.600 --> 0:21:37.040
<v Speaker 2>in and to solve problems for.

0:21:38.320 --> 0:21:40.480
<v Speaker 1>Yeah, it's really interesting. I remember hearing a few years

0:21:40.480 --> 0:21:43.359
<v Speaker 1>ago that, you know, one of the major problems was

0:21:43.440 --> 0:21:47.720
<v Speaker 1>more about accents and dialects being understood but by the

0:21:47.800 --> 0:21:50.359
<v Speaker 1>voice AI. But now it sounds like it shifted more

0:21:50.400 --> 0:21:55.160
<v Speaker 1>to menu customization. So is that is that accent park

0:21:55.280 --> 0:21:56.919
<v Speaker 1>kind of solved?

0:21:58.520 --> 0:22:01.879
<v Speaker 2>It's improved. You know, I have been told very clearly

0:22:01.880 --> 0:22:04.240
<v Speaker 2>by my engineering team never to use the word solved

0:22:04.280 --> 0:22:08.000
<v Speaker 2>or fixed when it comes to AI. You know how

0:22:08.119 --> 0:22:11.520
<v Speaker 2>kind of inherit like. It's now become inherited in how

0:22:11.560 --> 0:22:15.440
<v Speaker 2>I speak has become better. It's improved. It's not going

0:22:15.480 --> 0:22:17.760
<v Speaker 2>to be completely solved. And that's where I go back

0:22:17.800 --> 0:22:22.080
<v Speaker 2>to saying, the long tail here is really long. Right,

0:22:22.119 --> 0:22:24.760
<v Speaker 2>you can hit that eighty percent mark, That twenty percent

0:22:24.920 --> 0:22:30.840
<v Speaker 2>is going to be very It's not hard. But if

0:22:30.840 --> 0:22:33.359
<v Speaker 2>you're not dedicated and focused on it, and you have

0:22:33.440 --> 0:22:36.040
<v Speaker 2>your attention all over the place, then you're going to

0:22:36.040 --> 0:22:37.919
<v Speaker 2>be stuck between eighty and eighty two percent for the

0:22:37.920 --> 0:22:40.320
<v Speaker 2>rest of your life. But it has to be a

0:22:40.520 --> 0:22:45.560
<v Speaker 2>very concerted client by client effort to say, for your brand,

0:22:45.920 --> 0:22:51.959
<v Speaker 2>this is how your customers order. You know, again, it

0:22:52.040 --> 0:22:56.719
<v Speaker 2>comes from a place of listening to real customer calls

0:22:56.720 --> 0:23:02.639
<v Speaker 2>and recordings. The same person in three different chicken burger

0:23:02.720 --> 0:23:08.160
<v Speaker 2>brands the same order, their customers will speak it out

0:23:08.200 --> 0:23:12.160
<v Speaker 2>in a different way. The way you order a Chick

0:23:12.160 --> 0:23:19.040
<v Speaker 2>fil A versus Popeyes versus you know, your KFC. It's fairy,

0:23:19.200 --> 0:23:22.879
<v Speaker 2>very different. That's why it requires so much effort on

0:23:22.920 --> 0:23:26.960
<v Speaker 2>a per brand, per region basis to make sure you

0:23:27.000 --> 0:23:33.359
<v Speaker 2>get it right. And you know, we are even coming

0:23:33.400 --> 0:23:37.639
<v Speaker 2>across situations with the menu differs from region to region.

0:23:38.440 --> 0:23:41.320
<v Speaker 2>And it's a national brand. You know, you have thousands

0:23:41.359 --> 0:23:46.840
<v Speaker 2>of locations across the country, but just because of some people,

0:23:47.119 --> 0:23:51.560
<v Speaker 2>because of customers in a specific region ordering their chicken

0:23:51.600 --> 0:23:55.240
<v Speaker 2>in a specific way has forced that brand to make

0:23:55.280 --> 0:23:58.600
<v Speaker 2>a slightly more nuanced menu in that region. You have

0:23:58.640 --> 0:24:01.960
<v Speaker 2>to account for that, right, So that's where we're seeing

0:24:01.960 --> 0:24:05.159
<v Speaker 2>the challenges come up versus you know, rolling out a

0:24:05.200 --> 0:24:11.280
<v Speaker 2>third party integration solution at scale. Now, that's a solved problem, right,

0:24:11.800 --> 0:24:13.640
<v Speaker 2>you know the steps you have to take to get there,

0:24:14.320 --> 0:24:18.520
<v Speaker 2>but drive through. We're being very very cautious and how

0:24:18.600 --> 0:24:21.000
<v Speaker 2>what we promise and what we tell the brands.

0:24:21.840 --> 0:24:25.359
<v Speaker 1>Yeah, it's really interesting. Staying on the topic of AI,

0:24:25.640 --> 0:24:29.560
<v Speaker 1>restaurant industries being inundated with AI solutions. I think some

0:24:29.640 --> 0:24:32.040
<v Speaker 1>of them were also known as big data solutions a

0:24:32.080 --> 0:24:34.439
<v Speaker 1>couple of years ago, but I think a lot of

0:24:34.480 --> 0:24:37.720
<v Speaker 1>them would fit into that nice to have category which

0:24:37.720 --> 0:24:41.200
<v Speaker 1>we spoke to earlier, excluding the areas you know you're

0:24:41.240 --> 0:24:44.440
<v Speaker 1>playing in. What restaurant pain points are AI best suited

0:24:44.600 --> 0:24:45.000
<v Speaker 1>to solve?

0:24:47.400 --> 0:24:52.560
<v Speaker 2>Was watching an interview by Jeff Bezos, right, and he

0:24:52.640 --> 0:24:55.679
<v Speaker 2>made a statement that really stuck with me. Right, he said,

0:24:56.119 --> 0:25:02.160
<v Speaker 2>AI now is like electricity. It will make better everything

0:25:02.200 --> 0:25:08.480
<v Speaker 2>that it runs through. Right. That made me think. So

0:25:08.640 --> 0:25:10.840
<v Speaker 2>that was one part of the conversation. Right then, I

0:25:10.880 --> 0:25:15.280
<v Speaker 2>was interviewing another candidate and I was talking to him

0:25:15.280 --> 0:25:18.959
<v Speaker 2>about his application of AI and what he's doing, and

0:25:19.000 --> 0:25:21.600
<v Speaker 2>he's like Michell. Today, the restaurant operators, if they have

0:25:21.680 --> 0:25:23.639
<v Speaker 2>a problem, they literally call me and tell me like

0:25:23.760 --> 0:25:28.359
<v Speaker 2>I'm sorry, I forgot my password, right, So that's how

0:25:29.920 --> 0:25:32.600
<v Speaker 2>behind they are on tech adoption. How are you going

0:25:32.640 --> 0:25:38.720
<v Speaker 2>to make them adopt AI? I tried to combine these

0:25:38.720 --> 0:25:45.040
<v Speaker 2>two conversations, and I said, do you know how electricity works? Like?

0:25:45.280 --> 0:25:47.359
<v Speaker 2>Not really? I said, but you know when you switch

0:25:47.359 --> 0:25:50.760
<v Speaker 2>out the light, your bug goes on. That's what AI

0:25:50.800 --> 0:25:56.120
<v Speaker 2>should do the restaurant operators. We should basically help solve

0:25:56.200 --> 0:25:58.800
<v Speaker 2>the problems for the restaurant operators while AI works in

0:25:58.840 --> 0:26:03.359
<v Speaker 2>the background. That's how I'm thinking about the application of

0:26:03.400 --> 0:26:06.400
<v Speaker 2>AI in an industry that has always been to like, hey,

0:26:06.400 --> 0:26:09.120
<v Speaker 2>your tech backward. You know, by the way, I think

0:26:09.119 --> 0:26:13.119
<v Speaker 2>the restaurant industry is take backward. Is tech backward not

0:26:13.240 --> 0:26:16.640
<v Speaker 2>because of their fault, but because of our fault at

0:26:16.640 --> 0:26:20.000
<v Speaker 2>some level, because we take people have come and said

0:26:20.040 --> 0:26:23.080
<v Speaker 2>we'll solve all of your problems on heaven and Earth

0:26:23.119 --> 0:26:29.600
<v Speaker 2>and everything in between. So they've become skeptical. But we

0:26:29.880 --> 0:26:33.400
<v Speaker 2>need to understand what their problems were were that they

0:26:33.400 --> 0:26:38.359
<v Speaker 2>couldn't solve earlier. But now AI can solve, right, So

0:26:38.400 --> 0:26:41.600
<v Speaker 2>we have to approach it from a perspective of what's

0:26:41.600 --> 0:26:45.040
<v Speaker 2>your problem? Not how can I make you use AI?

0:26:45.200 --> 0:26:53.400
<v Speaker 2>That's not an answer right. I run seventy locations in Florida,

0:26:54.119 --> 0:26:56.639
<v Speaker 2>and I have no idea what happens. But suddenly, like

0:26:56.720 --> 0:26:58.919
<v Speaker 2>at any point in time, seven percent of my stores

0:26:58.920 --> 0:27:06.120
<v Speaker 2>are offline in on the third party platforms. That's the problem. Now,

0:27:06.240 --> 0:27:10.119
<v Speaker 2>let's solve that using AI, making it more intelligent, either

0:27:10.200 --> 0:27:12.600
<v Speaker 2>telling you when your stores are going offline or telling

0:27:12.640 --> 0:27:17.439
<v Speaker 2>you in advance. Hey, keep a lookout. These four stores

0:27:17.480 --> 0:27:20.879
<v Speaker 2>are a problem, and usually they go offline because of

0:27:20.920 --> 0:27:23.720
<v Speaker 2>high drive away time, So that's what you should be

0:27:23.760 --> 0:27:28.359
<v Speaker 2>looking for. So basically, AI is helping us find the

0:27:28.400 --> 0:27:32.080
<v Speaker 2>needle in the haystack, pinpoint the problem, and not worry

0:27:32.080 --> 0:27:34.560
<v Speaker 2>about your other sixty three stores, but just focus on

0:27:34.640 --> 0:27:38.840
<v Speaker 2>these seven stores. That's how we are approaching the application

0:27:38.920 --> 0:27:42.080
<v Speaker 2>of AI in the restaurant space. And by the way,

0:27:42.119 --> 0:27:46.800
<v Speaker 2>that password problem also solvable by AI. I mean you

0:27:46.840 --> 0:27:49.800
<v Speaker 2>don't have to use air for that, but get rid

0:27:49.880 --> 0:27:51.960
<v Speaker 2>of using a password for God's sake, not right, Like

0:27:53.320 --> 0:27:55.560
<v Speaker 2>I don't even input user in my password on my

0:27:56.680 --> 0:28:02.000
<v Speaker 2>Chase banking app. It's faciety. There's different solutions to the problems.

0:28:02.000 --> 0:28:05.439
<v Speaker 2>It's not always the I, but our goal is like

0:28:05.520 --> 0:28:07.480
<v Speaker 2>always come at it from a problem perspective.

0:28:09.880 --> 0:28:12.879
<v Speaker 1>Good stuff, man, this was fun. Thanks for doing it.

0:28:12.880 --> 0:28:15.199
<v Speaker 1>It's a checkmate dot com right if you want to

0:28:15.200 --> 0:28:17.640
<v Speaker 1>find out more about that Checkmate.

0:28:18.440 --> 0:28:20.159
<v Speaker 2>Thank you so much for you appreciate you having me

0:28:20.200 --> 0:28:20.720
<v Speaker 2>here on Mike.

0:28:21.760 --> 0:28:23.399
<v Speaker 1>You got it man. I also want to thank the

0:28:23.440 --> 0:28:26.280
<v Speaker 1>audience for tuning in. If you like the discussion, please

0:28:26.320 --> 0:28:28.800
<v Speaker 1>share it with your friends and colleagues. Check back soon

0:28:28.880 --> 0:28:32.040
<v Speaker 1>for an interview with Felix Linn, the CEO of HF

0:28:32.080 --> 0:28:32.800
<v Speaker 1>Foods Group.