WEBVTT - Olo Aims to Digitize All Restaurant Transactions

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<v Speaker 1>Welcome to the Tech Disruptors Podcast. I'm your host, Mike Callon,

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<v Speaker 1>the senior Restaurant and Food Service analyst at b I.

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<v Speaker 1>This episode will also be simulcast to our restaurant pod,

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<v Speaker 1>Chopping it Up by Bloomberg Intelligence on Spotify. Today's guest

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<v Speaker 1>is Noah Glass, CEO and founder of Olo, the company

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<v Speaker 1>powering the digitization of the restaurant industry. It's working with

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<v Speaker 1>eighty four thousand restaurants across more than six hundred brands,

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<v Speaker 1>and it's serving eighty five million guests a year. No

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<v Speaker 1>small feet in an industry that has been notoriously slow

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<v Speaker 1>to adopt technology. Thanks for doing like than so much

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<v Speaker 1>for having me. You know, I was surprised to see

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<v Speaker 1>Olo listed on the n y s E and not

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<v Speaker 1>the NASDAC. Maybe I'm out of the loop here, but

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<v Speaker 1>when I started my career as a day trader in

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<v Speaker 1>all the tech companies listed on the NAT well, I

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<v Speaker 1>guess this is just the product of the fact that

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<v Speaker 1>my first apartment in New York City when I moved

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<v Speaker 1>here in two thousand three, was on Wall Street. I

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<v Speaker 1>lived at forty five Wall Street, and so I walked

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<v Speaker 1>past the New York Stock Exchange every day, and I

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<v Speaker 1>just couldn't get over that beautiful banner and in the

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<v Speaker 1>front hanging from all those pillars, and that visual was

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<v Speaker 1>with me every day from the early days of OLO. No,

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<v Speaker 1>I never really thought that we would get to the

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<v Speaker 1>point of being a public company and getting an opportunity

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<v Speaker 1>to list on either exchange. So it's a great honor

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<v Speaker 1>to have that option. It's a high class problem, um,

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<v Speaker 1>but particularly cool because OLO kind of started in that

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<v Speaker 1>apartment in the earliest days, back in August of two

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<v Speaker 1>thousand three, if you can believe that. Wow. So alright,

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<v Speaker 1>So first of all, it's a yeah, that's a beautiful building.

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<v Speaker 1>And I worked on sixty seven wall in two thousand

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<v Speaker 1>three to about two thousand seven, so I'm sure we

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<v Speaker 1>walked past each other on the street at some point,

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<v Speaker 1>uh during those years. For our listeners that may not

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<v Speaker 1>be familiar with OLO, what are the core products that

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<v Speaker 1>really fueled its pre I p O growth? So pre

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<v Speaker 1>I p O I would say OLO is best known

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<v Speaker 1>for actually what the name is the acronym for. It's

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<v Speaker 1>the acronym for on line ordering O l OH, and

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<v Speaker 1>it kind of actually dates the term in that acronym

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<v Speaker 1>itself because it was at the time when online was

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<v Speaker 1>two different words, kind of the AO l era. So

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<v Speaker 1>it's been around online ordering as a concept for a

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<v Speaker 1>long time, although the company started in two thousand five,

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<v Speaker 1>but that was at that time really the the industry

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<v Speaker 1>accepted term for online ordering, and that's how we got started.

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<v Speaker 1>So it was letting guests order and pay before they

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<v Speaker 1>arrived at the restaurant, mainly for take out. Some restaurants

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<v Speaker 1>in the early days also used it for delivery and

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<v Speaker 1>then skip the line when they arrived, collect their order

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<v Speaker 1>and be on their way um before the I p O.

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<v Speaker 1>In maybe the four to five years running up to it,

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<v Speaker 1>there was this other big leg of growth as we

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<v Speaker 1>expanded into offering delivery on a national scale, and that

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<v Speaker 1>wasn't delivery in the way that I was used to

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<v Speaker 1>delivery from being a seventeen year old pizza delivery driver

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<v Speaker 1>uh growing up, or in the way these early restaurants

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<v Speaker 1>were using OLO and doing their own livery. Rather, it

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<v Speaker 1>was tapping into a network of on demand delivery service providers,

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<v Speaker 1>and we made that possible through a product called Dispatch,

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<v Speaker 1>which basically tied all these different service providers into a

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<v Speaker 1>network and made that accessible through a single ap I call.

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<v Speaker 1>So a brand that was using OLO for just take

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<v Speaker 1>out could now also offer delivery to guests and still

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<v Speaker 1>let those guests order through the brand's own website or app,

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<v Speaker 1>all without having to hire their own delivery fleet, but

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<v Speaker 1>instead by tapping into this on demand pool of drivers.

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<v Speaker 1>The third big product that we came to market with

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<v Speaker 1>in two thousand seventeen was enabling brands to syndicate out

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<v Speaker 1>their content, their menus, their price list out to the

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<v Speaker 1>third party marketplaces like the door Dashes and the uber

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<v Speaker 1>Eats and the grubhubs of the world, and then have

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<v Speaker 1>those orders not come into different tablets sitting on the

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<v Speaker 1>counter that somebody would have to watch and manage, but

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<v Speaker 1>all into the same single stream, into the point of sale,

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<v Speaker 1>into the kitchen. And that product is called rails, So

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<v Speaker 1>really ordering it solving, Yeah, we lovingly call that tablet hell. There.

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<v Speaker 1>There are incredible photos from the twenty era where you'd

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<v Speaker 1>walk into restaurants and you still see this even and

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<v Speaker 1>they have five six different tablets sitting next to the

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<v Speaker 1>point of sale, all ringing, all flashing, and restaurant operators

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<v Speaker 1>have to pay somebody to literally just watch the tablets

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<v Speaker 1>and re key those orders into the point of sale

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<v Speaker 1>and all of that goes away and get simplified with

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<v Speaker 1>that rails product bring it all into the point of sale.

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<v Speaker 1>Very cool. I'd like to dive into dispatch just a

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<v Speaker 1>little bit more. Can you talk about the bidding process

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<v Speaker 1>with delivery providers, how it's benefiting your customers and what

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<v Speaker 1>do they value most? Is it the prices at the

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<v Speaker 1>time UH service ratings or is there something else and

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<v Speaker 1>and doesn't vary by restaurant. Let's say first and foremost

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<v Speaker 1>would brands value about dispatch and what it enables is

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<v Speaker 1>that they can take delivery order through their own platform.

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<v Speaker 1>So instead of it coming from a restaurant delivery marketplace

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<v Speaker 1>where you know, the consumer is placing the order there

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<v Speaker 1>and the brand is getting no data about who that

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<v Speaker 1>guest is, the guest is ordering directly from the brand,

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<v Speaker 1>so the brand is collecting that valuable guest data. That's

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<v Speaker 1>going to be a theme, I'm sure over the rest

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<v Speaker 1>of our conversation, so we'll come back to it, um.

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<v Speaker 1>But it's really about meeting the guests needs directly through

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<v Speaker 1>their own channels. So if somebody says, hey, I Mike

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<v Speaker 1>I don't want to come to the restaurant to collect it.

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<v Speaker 1>I want it to be delivered to me. The brand

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<v Speaker 1>can say yes, and that's super valuable in and of itself.

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<v Speaker 1>The idea that it's network, the idea that we have

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<v Speaker 1>multiple delivery service providers basically gives that brand resiliency and

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<v Speaker 1>redundancy in a little bit of pricing power built into

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<v Speaker 1>what's kind of like a micro auction if you think

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<v Speaker 1>about it. So, there was a great lending Tree commercial

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<v Speaker 1>that I remember from many years back, and the tagline

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<v Speaker 1>was lending Tree, When banks compete, you win, and a

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<v Speaker 1>little bit of this is the same thing with delivery providers.

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<v Speaker 1>It's when delivery providers compete, you win. When you're able

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<v Speaker 1>to tap into not one, but all of the delivery

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<v Speaker 1>service providers and all of the delivery professionals who are

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<v Speaker 1>out there working as couriers for the different delivery service providers,

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<v Speaker 1>it's much more likely that you're going to find the

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<v Speaker 1>nearest available driver who can come and collect that order

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<v Speaker 1>fastest and delivered to the guest fastest. As a result,

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<v Speaker 1>and time is money. Fastest often correlates with the lowest cost,

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<v Speaker 1>the lowest bid on what it will cost that delivery

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<v Speaker 1>courier to collect the order and deliver to the guest.

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<v Speaker 1>So it's been an amazing thing. What I mentioned, I

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<v Speaker 1>used to work in pizza delivery when I was in

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<v Speaker 1>high school, and I remember what great looked like then

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<v Speaker 1>was somebody calls in an order and you get the

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<v Speaker 1>pizza to them thirty minutes or less. That was kind

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<v Speaker 1>of like the gold standard for delivery Domino's popularized. I

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<v Speaker 1>didn't work for Domino's, work for an independent pizza shop,

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<v Speaker 1>but that's at the bar. Everybody expected thirty minutes. If

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<v Speaker 1>you can hit that, awesome. The problem is the delivery

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<v Speaker 1>drivers going out with three, four, five different deliveries all

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<v Speaker 1>in one batch. They're routing their way around. It doesn't

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<v Speaker 1>always get delivered based on first in, first out. It's

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<v Speaker 1>getting delivered based on what's convenient based on the other deliveries,

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<v Speaker 1>So it was hard to hit that thirty minute kind

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<v Speaker 1>of promise. Um. The beauty of the dispatch model is

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<v Speaker 1>it is a point to point delivery model. So the

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<v Speaker 1>courier is coming to collect one order and then deliver

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<v Speaker 1>that one order. We know how long the food takes

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<v Speaker 1>to prep based on an understanding of the historical analysis

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<v Speaker 1>of how long meals take to prep and what the

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<v Speaker 1>restaurant has shared with us. So if we know the

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<v Speaker 1>drivers ten minutes away from drive time to arrive at

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<v Speaker 1>the restaurant and the food takes seven minutes to prep,

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<v Speaker 1>we can send the driver wait three minutes, fire that

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<v Speaker 1>order directly into the kitchen, the drivers arriving right when

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<v Speaker 1>the food is ready and fresh, and then on average, nationally,

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<v Speaker 1>month to month, we usually hover somewhere between eleven and

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<v Speaker 1>thirteen minutes from store to door. As we say, so,

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<v Speaker 1>it just opens up a whole lot of different varieties

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<v Speaker 1>of food that wouldn't be delivered well with that thirty

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<v Speaker 1>minute time horizon. But if you can finish that delivery,

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<v Speaker 1>finish that order being prepped and at that make time,

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<v Speaker 1>then have twelve minutes on average, let's say, for that

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<v Speaker 1>where then get in the hands of the guests and

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<v Speaker 1>then you have food in mouth that magical moment. It

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<v Speaker 1>just makes delivery a much higher h quality experience for

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<v Speaker 1>the guests and it shows well for the brand. Yeah,

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<v Speaker 1>it's great. I'd imagine it's a big boon to guests satisfaction.

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<v Speaker 1>It is. Yeah, there are times when a guest just

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<v Speaker 1>wants or needs delivery, they just aren't in a need state.

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<v Speaker 1>We're going to the restaurant makes sense, however convenient it

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<v Speaker 1>is to collect the order. So the ability to pay

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<v Speaker 1>for delivery and have somebody else liked it and take

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<v Speaker 1>it from the restaurant to you is a great thing,

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<v Speaker 1>and it opens up a lot of business opportunities for

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<v Speaker 1>restaurants that didn't prior to dispatch play in the delivery realm. Yeah,

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<v Speaker 1>it's almost like a democratization a bit, right, because I

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<v Speaker 1>know a lot of restaurants. Independent restaurants can't even get

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<v Speaker 1>insurance for drivers, right, So so I think this is

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<v Speaker 1>UM definitely something that that's smaller chains and independence can benefit.

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<v Speaker 1>That's right. How the company's products weite evolve with the

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<v Speaker 1>Wisely acquisition. So Wisely was in November of twenty one.

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<v Speaker 1>It was the first acquisition that OLO did, not just

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<v Speaker 1>as a public company, but in our entire history up

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<v Speaker 1>until that point, so we were operating for about sixteen

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<v Speaker 1>and a half years, never done an acquisition. UM We've

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<v Speaker 1>been working with Wisely as a partner. We have a

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<v Speaker 1>rich partner ecosystem of other restaurant technology providers, over three

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<v Speaker 1>hundred of them today and it means that we're able

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<v Speaker 1>to have a really cool vantage point and see those

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<v Speaker 1>solutions that are really helping to meet our restaurant customers needs.

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<v Speaker 1>And you know, we got conviction with Wisely that this

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<v Speaker 1>was a platform that was really helping restaurant brands to

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<v Speaker 1>d anonymize not just every transaction coming through oh Loo,

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<v Speaker 1>but every interaction that they were having with the guest,

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<v Speaker 1>and it was pulling all of those into a guest

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<v Speaker 1>data platform, um a guest data platform or a customer

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<v Speaker 1>data platform as it's called in the sort of larger

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<v Speaker 1>horizontal technology space. You know, you you see examples of

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<v Speaker 1>that in companies like Braise or Emparticle or Segment that

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<v Speaker 1>Twilio acquired, but for the restaurant vertical and the reason

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<v Speaker 1>why we call it a guest data platform is because

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<v Speaker 1>restaurants called their customers guests, and so we thought that

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<v Speaker 1>sort of helped to explained that this was a customer

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<v Speaker 1>data platform for restaurant. You know, this, we believe Wisely

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<v Speaker 1>Suite was the foremost solution, and so we felt like

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<v Speaker 1>we're in a moment in time when restaurants understand how

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<v Speaker 1>valuable first party data is and it's more difficult for

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<v Speaker 1>restaurants to use different forms of advertising that don't require

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<v Speaker 1>first party data. So helping them to harness the power

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<v Speaker 1>first party data, really understand who that guest is and

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<v Speaker 1>ultimately understand what the lifetime value of that guest is

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<v Speaker 1>is going to be just a step change in what

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<v Speaker 1>restaurant marketers are able to do. We just came to

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<v Speaker 1>believe that Wisely was the best platform out there to

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<v Speaker 1>do it. I want to say, and this is important

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<v Speaker 1>for me to say whenever we launch a new product

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<v Speaker 1>or acquire a new company, that OLO is committed to

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<v Speaker 1>being an open platform. So while we have three partners

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<v Speaker 1>today and we acquired Wisely, which had been a partner,

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<v Speaker 1>we still work with many other marketing tech platforms, and

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<v Speaker 1>different restaurant customers of ours will say I want to

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<v Speaker 1>work with that one. I think that's better at meeting

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<v Speaker 1>my needs. That's fine. Were We are thrilled to be

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<v Speaker 1>an open platform and to be agnostic between those two things.

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<v Speaker 1>We do think that Wisely is a great platform and

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<v Speaker 1>helping to join transactional data that we see in OLO

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<v Speaker 1>back to understanding who every guest is and d anonymizing

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<v Speaker 1>those transactions to build that profile so you can better

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<v Speaker 1>personalize the guest experience, better speak to and market to

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<v Speaker 1>that guest, and use it to inform every facet of

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<v Speaker 1>your business. Is really what that acquisition was all about. Yeah,

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<v Speaker 1>very cool. I mean what we're seeing with the publicly

0:12:44.280 --> 0:12:46.880
<v Speaker 1>traded restaurant chains that we cover is, you know, this

0:12:47.040 --> 0:12:49.280
<v Speaker 1>is still in the early innings, and yet it's it's

0:12:49.320 --> 0:12:51.559
<v Speaker 1>providing a much better r O Y than just dumping

0:12:51.600 --> 0:12:54.320
<v Speaker 1>a ton of money onto TV or radio. And uh,

0:12:54.440 --> 0:12:58.360
<v Speaker 1>it really is where the puck is moving. Um, you know,

0:12:58.480 --> 0:13:02.480
<v Speaker 1>can you talk about how you know? And actually before

0:13:02.480 --> 0:13:04.240
<v Speaker 1>I get to that, also to the fact that you're

0:13:04.280 --> 0:13:07.719
<v Speaker 1>open source and have really kind of pushed some of

0:13:07.760 --> 0:13:11.520
<v Speaker 1>the other POS systems out there to become open source.

0:13:11.559 --> 0:13:14.160
<v Speaker 1>I think is one of the major disruptions that I

0:13:14.200 --> 0:13:17.040
<v Speaker 1>think your company has has influence in this industry. I

0:13:17.080 --> 0:13:20.320
<v Speaker 1>think that's right. I mean in two thousand eight, nine ten,

0:13:20.640 --> 0:13:23.160
<v Speaker 1>we started to do the work of integrating into point

0:13:23.240 --> 0:13:26.400
<v Speaker 1>of sales systems and what we came upon was this

0:13:26.720 --> 0:13:33.480
<v Speaker 1>sort of legacy thinking of closed platforms, walled gardens point

0:13:33.520 --> 0:13:36.040
<v Speaker 1>of sale companies saying who is this startup ol and

0:13:36.160 --> 0:13:39.959
<v Speaker 1>why would I let them integrate into our platform. And

0:13:40.040 --> 0:13:44.480
<v Speaker 1>we're lucky that the restaurant brands came to our defense

0:13:44.600 --> 0:13:47.160
<v Speaker 1>support and said, no, we want OLO to integrate, and

0:13:47.200 --> 0:13:49.640
<v Speaker 1>we think they do the best job of this point

0:13:49.720 --> 0:13:54.400
<v Speaker 1>solution of online ordering. UM, so open up, let them integrate,

0:13:55.200 --> 0:13:58.240
<v Speaker 1>and we were able to integrate one by one into

0:13:58.360 --> 0:14:02.400
<v Speaker 1>all of the major enterprise restaurant point of sale systems.

0:14:03.320 --> 0:14:06.200
<v Speaker 1>And that's important because I think a lot of people

0:14:06.280 --> 0:14:09.880
<v Speaker 1>don't realize this, but many of the large restaurant brands

0:14:10.200 --> 0:14:14.319
<v Speaker 1>are fragmented from a technology standpoint when it's not guest

0:14:14.400 --> 0:14:18.199
<v Speaker 1>facing technology, when it's a restaurant operator facing technology like

0:14:18.360 --> 0:14:22.040
<v Speaker 1>point of sale. Oftentimes you have two, three, four different

0:14:22.080 --> 0:14:24.360
<v Speaker 1>point of sale platforms that are being used within the

0:14:24.480 --> 0:14:27.840
<v Speaker 1>same brand. And yet for online ordering, where an online

0:14:27.960 --> 0:14:31.280
<v Speaker 1>ordering app that's guest facing technology, it needs to work

0:14:31.400 --> 0:14:33.840
<v Speaker 1>the same on top of every one of those point

0:14:33.880 --> 0:14:37.360
<v Speaker 1>of sale platforms, and they're not interoperable with one another

0:14:37.840 --> 0:14:40.160
<v Speaker 1>OLO because we're not a point of sale platform. But

0:14:40.200 --> 0:14:42.920
<v Speaker 1>where this layer on top that is the guest facing layer,

0:14:43.760 --> 0:14:46.120
<v Speaker 1>can then integrate with all of these enterprise point of

0:14:46.200 --> 0:14:51.920
<v Speaker 1>sale companies and technology stacks and provide that universal, uniform

0:14:52.040 --> 0:14:56.120
<v Speaker 1>guest experience on top, and then we said to all

0:14:56.200 --> 0:14:59.800
<v Speaker 1>these technology partners, the three plus that are integrated into

0:15:00.000 --> 0:15:03.600
<v Speaker 1>a low today, you know, ride our platform to have

0:15:03.840 --> 0:15:06.960
<v Speaker 1>that same sort of access into point of sale. And

0:15:07.040 --> 0:15:10.920
<v Speaker 1>we acquired a company in March of twenty two called

0:15:10.960 --> 0:15:14.200
<v Speaker 1>Omnivore that did that in an even bigger way than

0:15:14.320 --> 0:15:17.680
<v Speaker 1>Below itself. Did not just with order injection, but also

0:15:17.800 --> 0:15:23.560
<v Speaker 1>with labor and scheduling and purchasing, an inventory and kitchen

0:15:23.640 --> 0:15:28.160
<v Speaker 1>display system integrations, and that's such a key part of

0:15:28.200 --> 0:15:31.600
<v Speaker 1>our philosophy. We believe that an open platform is the

0:15:31.680 --> 0:15:36.440
<v Speaker 1>foundation of innovation for the restaurant technology space, and that

0:15:37.000 --> 0:15:39.640
<v Speaker 1>letting a thousand flowers bloom on an open platform is

0:15:39.680 --> 0:15:42.680
<v Speaker 1>going to be best for the restaurant operator and best

0:15:42.800 --> 0:15:45.840
<v Speaker 1>for the restaurant guest. We will always be committed to

0:15:45.920 --> 0:15:50.320
<v Speaker 1>being an open platform and big supporters of innovation in

0:15:50.360 --> 0:15:54.040
<v Speaker 1>the restaurant tech landscape. Yeah. I think you're right. I

0:15:54.120 --> 0:15:57.600
<v Speaker 1>think that really sparked innovation in the space. Um, can

0:15:57.680 --> 0:15:59.960
<v Speaker 1>you talk about how Olo pay and one of your

0:16:00.080 --> 0:16:05.840
<v Speaker 1>latest technology disruptions, border lists also a contribute to data aggregation. Yeah,

0:16:05.920 --> 0:16:09.480
<v Speaker 1>I'm gonna separate those two slightly. UM, let me first

0:16:09.520 --> 0:16:13.520
<v Speaker 1>talk about olo pay without the borderless context. Oli pay

0:16:13.680 --> 0:16:17.600
<v Speaker 1>is something that we announced around the time of our

0:16:17.680 --> 0:16:20.600
<v Speaker 1>I p O and then really only went into general

0:16:20.720 --> 0:16:26.080
<v Speaker 1>availability with in the middle of But what olipay is,

0:16:26.160 --> 0:16:29.200
<v Speaker 1>it's very similar to if you look at other commerce

0:16:29.240 --> 0:16:32.720
<v Speaker 1>platforms like Shopify and what they've built with shop pay,

0:16:33.680 --> 0:16:37.119
<v Speaker 1>it's it's very similar. It is a digital first, integrated

0:16:37.160 --> 0:16:41.760
<v Speaker 1>payment platform that's embedded within the commerce platform itself. So

0:16:41.920 --> 0:16:45.320
<v Speaker 1>instead of us acting as a gateway into whatever the

0:16:45.400 --> 0:16:48.880
<v Speaker 1>credit card processor is at the store, which is really

0:16:48.960 --> 0:16:55.120
<v Speaker 1>designed for card swipe experiences, olopa is digital first, so

0:16:55.200 --> 0:16:58.880
<v Speaker 1>it's embedded within our platform. It means that you know,

0:16:59.560 --> 0:17:02.480
<v Speaker 1>just like I said, with a uniform layer that is

0:17:02.600 --> 0:17:06.480
<v Speaker 1>guest facing technology, payments becomes part of that uniform layer.

0:17:06.520 --> 0:17:10.080
<v Speaker 1>You don't have disjointed experiences where you've used your credit

0:17:10.160 --> 0:17:13.280
<v Speaker 1>card to pay at store A within the brand, and

0:17:13.359 --> 0:17:15.359
<v Speaker 1>then you go to use it at store B, but

0:17:15.960 --> 0:17:18.119
<v Speaker 1>your card isn't on file because they use a different

0:17:18.160 --> 0:17:21.879
<v Speaker 1>payment processor. Instead, we keep that card on file. And

0:17:22.000 --> 0:17:24.320
<v Speaker 1>so as a result of that, and as a result

0:17:24.400 --> 0:17:27.480
<v Speaker 1>of really thinking about the context of a digital transaction,

0:17:28.080 --> 0:17:30.480
<v Speaker 1>we're able to do things that are both good for

0:17:30.560 --> 0:17:33.200
<v Speaker 1>the guest experience like card on file, but are also

0:17:33.280 --> 0:17:37.280
<v Speaker 1>great for the operator experience, much much lower fraud as

0:17:37.320 --> 0:17:40.600
<v Speaker 1>a result of monitoring e commerce fraud through our partnership

0:17:40.640 --> 0:17:44.560
<v Speaker 1>with Stripe, and also monitoring across the entire OLO platform

0:17:45.040 --> 0:17:49.640
<v Speaker 1>to prevent fraud with a second filter um protection against chargebacks,

0:17:50.560 --> 0:17:54.280
<v Speaker 1>reporting all being on the same dashboards that somebody can

0:17:54.359 --> 0:17:59.240
<v Speaker 1>do adjustments and refunds and chargeback contestations all in one place,

0:18:00.040 --> 0:18:03.359
<v Speaker 1>and just better authorization rates and better basket conversion rates

0:18:03.840 --> 0:18:07.200
<v Speaker 1>that are really about being a digital first payment platform

0:18:07.280 --> 0:18:11.200
<v Speaker 1>stitched into the OLO commerce platform, so that's Olo pay.

0:18:11.920 --> 0:18:15.040
<v Speaker 1>What we did with border lists really enhances ol o

0:18:15.160 --> 0:18:17.760
<v Speaker 1>pay and it has benefits beyond Oli pay as well.

0:18:18.359 --> 0:18:21.880
<v Speaker 1>The idea of border list was passwords are a pain.

0:18:22.520 --> 0:18:25.960
<v Speaker 1>I haven't met a person in life who likes passwords

0:18:26.640 --> 0:18:29.120
<v Speaker 1>um both creating new accounts that require you to create

0:18:29.160 --> 0:18:33.199
<v Speaker 1>a password, or logging into an account with a password,

0:18:33.680 --> 0:18:38.040
<v Speaker 1>struggling to remember it, resetting it, etcetera, etcetera. What happens

0:18:38.240 --> 0:18:40.800
<v Speaker 1>because of passwords and all the friction that they introduce

0:18:41.560 --> 0:18:44.160
<v Speaker 1>is that people check out anonymously all of the time.

0:18:44.480 --> 0:18:46.760
<v Speaker 1>And I'll admit that I do this on the traditional

0:18:46.840 --> 0:18:51.399
<v Speaker 1>olo checkouts that I come across, I'll just not sign in,

0:18:51.760 --> 0:18:54.240
<v Speaker 1>not try to even remember my password, but just check

0:18:54.280 --> 0:18:58.200
<v Speaker 1>out anonymously. That's a bad thing for the guest experience,

0:18:58.480 --> 0:19:00.840
<v Speaker 1>and it's also a bad thing for the greater experience

0:19:01.200 --> 0:19:03.200
<v Speaker 1>on the guest side. I have to start from scratch.

0:19:03.400 --> 0:19:07.200
<v Speaker 1>I have to rebuild an entire order that I've ordered

0:19:07.240 --> 0:19:10.000
<v Speaker 1>in the past. I have to re enter credit card details,

0:19:10.080 --> 0:19:12.119
<v Speaker 1>I have to re enter my delivery address. It's a

0:19:12.160 --> 0:19:14.560
<v Speaker 1>delivery order. It's just a pain. It's a lot of

0:19:14.560 --> 0:19:18.160
<v Speaker 1>additional key strokes and clicks, and it's every every key

0:19:18.200 --> 0:19:21.880
<v Speaker 1>stroke and click is friction. Friction is the enemy of commerce.

0:19:22.920 --> 0:19:26.480
<v Speaker 1>On the operator side, if I'm checking out anonymously, there

0:19:26.560 --> 0:19:29.240
<v Speaker 1>is no ability for them to connect that transaction back

0:19:29.359 --> 0:19:33.200
<v Speaker 1>to my guest account and know anything about me. So

0:19:33.320 --> 0:19:35.840
<v Speaker 1>the idea behind border this was how do we remove

0:19:35.920 --> 0:19:40.720
<v Speaker 1>passwords enable guests to sign in with their email address

0:19:40.960 --> 0:19:43.480
<v Speaker 1>and their mobile phone number, again taking a lot of

0:19:43.520 --> 0:19:47.280
<v Speaker 1>inspiration for what Shopify did with shop pay, and in

0:19:47.440 --> 0:19:51.639
<v Speaker 1>so doing have a better guest experience and have a

0:19:51.720 --> 0:19:54.560
<v Speaker 1>better operator experience in the form of helping them to

0:19:55.320 --> 0:19:59.040
<v Speaker 1>harvest that transactional data and get it into the guest

0:19:59.080 --> 0:20:02.080
<v Speaker 1>profile to better un understand that guest, and that's really

0:20:02.119 --> 0:20:06.399
<v Speaker 1>what we've done with Borderless. So we started this, we

0:20:06.480 --> 0:20:09.440
<v Speaker 1>announced it in the very beginning of Q three of

0:20:09.600 --> 0:20:13.679
<v Speaker 1>last year. We had three pilot brands, and with statistically

0:20:13.760 --> 0:20:17.320
<v Speaker 1>significant amounts of data, what we've seen is typically it's

0:20:17.400 --> 0:20:21.280
<v Speaker 1>only thirty percent of guests that log into an account

0:20:21.400 --> 0:20:25.200
<v Speaker 1>on a transaction. With border Lists, we've inverted that, it's

0:20:25.240 --> 0:20:28.639
<v Speaker 1>been seventy six percent of guests that are logged in

0:20:28.960 --> 0:20:34.000
<v Speaker 1>that are authenticated and not anonymous, And again huge wind

0:20:34.080 --> 0:20:37.360
<v Speaker 1>for the guest experience and huge wind for the operator

0:20:37.480 --> 0:20:40.640
<v Speaker 1>being able to tie the majority now of its transactions

0:20:41.400 --> 0:20:44.560
<v Speaker 1>back into that guest data platform to better understand the guest,

0:20:44.920 --> 0:20:47.040
<v Speaker 1>how to market to them, and how to think about

0:20:47.080 --> 0:20:50.280
<v Speaker 1>their business differently with that guest lifetime value as a

0:20:50.359 --> 0:20:53.960
<v Speaker 1>new true North metric for guiding their business decisions. So

0:20:54.280 --> 0:20:58.879
<v Speaker 1>it's been an exciting um new innovation, our newest. The

0:20:59.000 --> 0:21:01.320
<v Speaker 1>other thing about Borderla, which is really special, is that

0:21:01.800 --> 0:21:04.679
<v Speaker 1>once a guest has created that linkage between email address

0:21:04.840 --> 0:21:08.000
<v Speaker 1>and mobile number, that lives at the OLO platform level,

0:21:08.200 --> 0:21:10.879
<v Speaker 1>it doesn't live at the individual brand level, and so

0:21:11.000 --> 0:21:13.119
<v Speaker 1>the power of that is now they go to the

0:21:13.240 --> 0:21:16.400
<v Speaker 1>next brand, they plug in that email address. We then

0:21:16.440 --> 0:21:18.680
<v Speaker 1>send a text to their mobile phone saying, Mike, is

0:21:18.760 --> 0:21:22.200
<v Speaker 1>this you. Once you enter in that six digit number,

0:21:22.800 --> 0:21:25.160
<v Speaker 1>you're into that account. You have your card on file,

0:21:25.359 --> 0:21:28.320
<v Speaker 1>you might have other details like your delivery address on file.

0:21:28.640 --> 0:21:31.240
<v Speaker 1>So we've removed the friction from that experience, and there's

0:21:31.280 --> 0:21:34.879
<v Speaker 1>a network effect in that of you know, a platform

0:21:35.040 --> 0:21:37.560
<v Speaker 1>that is benefiting all of the guests and all of

0:21:37.640 --> 0:21:40.840
<v Speaker 1>the brand. So at the scale of four thousand restaurants

0:21:40.960 --> 0:21:44.440
<v Speaker 1>across six hundred brand experiences and on the other side

0:21:45.200 --> 0:21:49.000
<v Speaker 1>million restaurant guests, we think that's a really powerful value

0:21:49.000 --> 0:21:54.280
<v Speaker 1>proposition for the industry as a whole. Yeah, that's very cool.

0:21:54.280 --> 0:21:56.000
<v Speaker 1>I love that you're doing some pain points for not

0:21:56.160 --> 0:22:00.560
<v Speaker 1>only the restaurant customers but also the restaurant guests. Uh,

0:22:00.880 --> 0:22:05.600
<v Speaker 1>that password is problem is a massive issue to your point.

0:22:05.800 --> 0:22:08.200
<v Speaker 1>You know, I don't think anybody, there's anyone I know

0:22:08.359 --> 0:22:12.359
<v Speaker 1>that that's uh satisfied with how that's handled. What drives

0:22:12.400 --> 0:22:14.760
<v Speaker 1>me crazy is when it's like a brand tells me

0:22:14.800 --> 0:22:16.920
<v Speaker 1>I can't use any of my last five passwords, and

0:22:17.000 --> 0:22:20.040
<v Speaker 1>so I know with certainty I'm gonna put something in

0:22:20.200 --> 0:22:22.840
<v Speaker 1>that I'm never gonna remember, you know, And I go

0:22:22.960 --> 0:22:24.600
<v Speaker 1>through a process with some of these brands. It's like

0:22:24.680 --> 0:22:27.480
<v Speaker 1>every couple of months, I have to change the password,

0:22:27.520 --> 0:22:30.320
<v Speaker 1>and it's like maddening, you know. I couldn't agree more,

0:22:30.400 --> 0:22:35.080
<v Speaker 1>couldn't agree more. Alright, So we talked about Wisely a bit.

0:22:35.200 --> 0:22:38.920
<v Speaker 1>We talked about Omnivore. Uh. You have a strong balance sheet,

0:22:38.960 --> 0:22:41.720
<v Speaker 1>almost four and fifty million of net cash. You know,

0:22:41.880 --> 0:22:44.679
<v Speaker 1>do acquisitions continue to be a part of your growth

0:22:44.720 --> 0:22:46.960
<v Speaker 1>strategy and if so, what type of targets are you

0:22:47.040 --> 0:22:49.920
<v Speaker 1>looking at. I think we're always looking at ways to

0:22:50.160 --> 0:22:54.480
<v Speaker 1>drive more digital transactions to add more value to our restaurants.

0:22:54.760 --> 0:22:58.639
<v Speaker 1>And that's the common thread behind you know, the Wise acquisition,

0:22:58.920 --> 0:23:01.639
<v Speaker 1>the Omitive Wore acquis Asian. We do have a lot

0:23:01.680 --> 0:23:03.639
<v Speaker 1>of cash on the balance sheet, Whether we use that

0:23:03.760 --> 0:23:08.520
<v Speaker 1>to build things organically or to acquire additional capabilities from

0:23:08.560 --> 0:23:11.520
<v Speaker 1>the outside, you know, I think it's really a matter

0:23:11.560 --> 0:23:13.840
<v Speaker 1>of what's going to help drive us further faster in

0:23:13.920 --> 0:23:17.760
<v Speaker 1>this ultimate ambition of kind of being the engine of hospitality.

0:23:18.320 --> 0:23:20.800
<v Speaker 1>And we now talk about our mission as being, you know,

0:23:20.960 --> 0:23:23.879
<v Speaker 1>helping restaurants make every guest feel like a regular and

0:23:24.000 --> 0:23:26.840
<v Speaker 1>that's the common spirit behind all the things that we

0:23:26.960 --> 0:23:30.520
<v Speaker 1>do in the commerce engine, in the guest engagement engine,

0:23:30.520 --> 0:23:34.239
<v Speaker 1>in the payments engine. So, I mean that's really how

0:23:34.359 --> 0:23:36.880
<v Speaker 1>we think about things. The latest thing that we've done

0:23:37.240 --> 0:23:41.480
<v Speaker 1>with our cash reserves is that we authorize a hundred

0:23:41.520 --> 0:23:46.680
<v Speaker 1>million dollar stock buy back of OLOUGH stock and UM.

0:23:46.960 --> 0:23:50.399
<v Speaker 1>I think that we believe is a good use of

0:23:50.640 --> 0:23:53.960
<v Speaker 1>capital on the balance sheet UM and conveys our our

0:23:54.440 --> 0:23:57.680
<v Speaker 1>confidence in the business and the position that we're in

0:23:57.800 --> 0:24:02.840
<v Speaker 1>going forward d percent. I think that's typically how I

0:24:02.920 --> 0:24:05.040
<v Speaker 1>look at it. Right when companies are doing share buy

0:24:05.080 --> 0:24:07.760
<v Speaker 1>backs and are accelerated share buy backs, that you know,

0:24:07.880 --> 0:24:10.119
<v Speaker 1>they're sending a signal to the market that look, we

0:24:10.240 --> 0:24:12.040
<v Speaker 1>think our stock is cheap. And when we're putting our

0:24:12.080 --> 0:24:15.720
<v Speaker 1>money where our mouth is, UM, what are your what

0:24:15.800 --> 0:24:18.520
<v Speaker 1>are your organic growth levers? Well, I think you know,

0:24:18.720 --> 0:24:22.560
<v Speaker 1>OLOW pay and Payments is certainly a big area of focus.

0:24:22.800 --> 0:24:25.439
<v Speaker 1>You know, when we look at I believe we shared

0:24:25.720 --> 0:24:31.040
<v Speaker 1>in one it was about twenty billion dollars of g

0:24:31.320 --> 0:24:34.840
<v Speaker 1>m V growth Merchandise value or GPV gross payments volume

0:24:34.880 --> 0:24:37.879
<v Speaker 1>that went through the OLO platform. UM. That's a lot

0:24:37.960 --> 0:24:40.520
<v Speaker 1>of volume, and you know, we believe that there's a

0:24:40.560 --> 0:24:44.520
<v Speaker 1>big payments franchise to build within OLO, and one that

0:24:44.760 --> 0:24:47.920
<v Speaker 1>is you know, meeting the needs of our restaurant customers.

0:24:48.000 --> 0:24:50.760
<v Speaker 1>It's not something that we got into just because we thought, hey,

0:24:50.840 --> 0:24:53.800
<v Speaker 1>this is a clever way of making revenue, additional revenue.

0:24:54.119 --> 0:24:56.399
<v Speaker 1>It really came out of this group that we have,

0:24:56.760 --> 0:25:00.640
<v Speaker 1>our Product Advisory Council, which is made up of great

0:25:00.680 --> 0:25:04.199
<v Speaker 1>digital thinkers from across our restaurant customer base, and they

0:25:04.280 --> 0:25:08.000
<v Speaker 1>were identifying all the problems with have the legacy way

0:25:08.119 --> 0:25:11.119
<v Speaker 1>that payments worked for e commerce, and the problems that

0:25:11.200 --> 0:25:14.879
<v Speaker 1>restaurant operators and franchisees were facing and saying, you know,

0:25:15.000 --> 0:25:16.680
<v Speaker 1>we think OLO has a role to play here to

0:25:16.760 --> 0:25:19.080
<v Speaker 1>make this better for the guest experience and for the

0:25:19.160 --> 0:25:23.120
<v Speaker 1>operator experience. Could you do something in payments. We went

0:25:23.160 --> 0:25:25.840
<v Speaker 1>out and struck a partnership with Stripe. We're really proud

0:25:25.920 --> 0:25:28.640
<v Speaker 1>of that partnership and what we've built, you know, ol

0:25:28.680 --> 0:25:31.400
<v Speaker 1>O pay and what we've enhanced further with boider lists,

0:25:32.240 --> 0:25:35.359
<v Speaker 1>and we think there's there's so much room to go

0:25:35.880 --> 0:25:39.960
<v Speaker 1>and grow on the payments side of things, and there's

0:25:39.960 --> 0:25:42.880
<v Speaker 1>a lot of room to grow with guest engagement as well,

0:25:43.080 --> 0:25:45.680
<v Speaker 1>and thinking about how do we I mean, to your point,

0:25:45.800 --> 0:25:48.360
<v Speaker 1>it's still early, you still have I want to come

0:25:48.400 --> 0:25:51.520
<v Speaker 1>back to this great quote from Wanna Maker, who was

0:25:51.680 --> 0:25:56.920
<v Speaker 1>a department store magnate, who said half of my advertising

0:25:57.040 --> 0:26:00.240
<v Speaker 1>is wasted. I just don't know which half. This is

0:26:00.240 --> 0:26:03.000
<v Speaker 1>an industry that, you know, at a trillion dollars on

0:26:03.080 --> 0:26:05.320
<v Speaker 1>top line revenue. If you think about a three percent

0:26:05.400 --> 0:26:09.400
<v Speaker 1>ad fund fee as being a basic golden rule, that's

0:26:09.480 --> 0:26:12.960
<v Speaker 1>thirty billion dollars in advertising spend that restaurants are spending

0:26:13.040 --> 0:26:18.879
<v Speaker 1>on pretty wasteful TV, radio, print, mass media forms of advertising,

0:26:19.080 --> 0:26:22.639
<v Speaker 1>very difficult to track, a lot of wastage. And we

0:26:22.800 --> 0:26:27.120
<v Speaker 1>think that kind of channeling some of that toward personalized

0:26:27.200 --> 0:26:31.760
<v Speaker 1>marketing and kind of precision marketing when you know who

0:26:31.840 --> 0:26:33.639
<v Speaker 1>that guest is and you know that they are a

0:26:33.760 --> 0:26:37.320
<v Speaker 1>high lifetime value guest is really smart. So there's a

0:26:37.400 --> 0:26:39.920
<v Speaker 1>lot that we can do going forward beyond what we've

0:26:39.960 --> 0:26:44.520
<v Speaker 1>already done with wisely, for such a large swath of

0:26:44.680 --> 0:26:50.119
<v Speaker 1>the restaurant industry. Yeah, it's cool. It makes a lot

0:26:50.160 --> 0:26:51.800
<v Speaker 1>of sense. I mean, people are walking around with a

0:26:51.960 --> 0:26:55.160
<v Speaker 1>billboard in their pocket, right, so it's a perfect place

0:26:55.280 --> 0:26:59.639
<v Speaker 1>to to advertise out back, Jack in the Box, Carls Jr.

0:26:59.640 --> 0:27:01.359
<v Speaker 1>And Hard These are some of the large chains that

0:27:01.440 --> 0:27:05.439
<v Speaker 1>have recently transitioned away from homegrown systems and two OLO.

0:27:06.320 --> 0:27:09.320
<v Speaker 1>Is that the largest opportunity in your restaurant growth lever

0:27:09.960 --> 0:27:12.560
<v Speaker 1>and is there upside if that trend continues to accelerate.

0:27:12.600 --> 0:27:14.399
<v Speaker 1>I think that is the thing that we point to

0:27:14.760 --> 0:27:18.680
<v Speaker 1>as the biggest source of competition. It's not some other

0:27:18.760 --> 0:27:22.200
<v Speaker 1>technology platform like OLO. It is restaurant brands who have

0:27:23.000 --> 0:27:25.480
<v Speaker 1>really out of necessity because they started doing this before

0:27:25.520 --> 0:27:29.040
<v Speaker 1>OLO was at scale and a viable alternative, built something

0:27:29.240 --> 0:27:32.479
<v Speaker 1>in house and then been stuck with having to maintain

0:27:32.600 --> 0:27:35.040
<v Speaker 1>it and to keep it fresh and innovative and secure

0:27:35.280 --> 0:27:39.200
<v Speaker 1>and high performance. That's really expensive to do. That's not

0:27:39.359 --> 0:27:42.320
<v Speaker 1>a build it once and you're done. That is a

0:27:42.640 --> 0:27:44.960
<v Speaker 1>build the car and keep filling it up with gas,

0:27:45.080 --> 0:27:47.920
<v Speaker 1>and this is very expensive gas. So we've seen a

0:27:48.000 --> 0:27:50.680
<v Speaker 1>lot of brands you named a bunch of this past quarter.

0:27:50.920 --> 0:27:56.520
<v Speaker 1>We saw Ruby, Tuesday, Smash Burger, Zachsby's Uh, you mentioned

0:27:56.600 --> 0:27:59.840
<v Speaker 1>Jack in the Box, all migrate off of homegrown platform

0:28:00.480 --> 0:28:04.359
<v Speaker 1>and onto the OLO platform. And I think that is

0:28:04.440 --> 0:28:08.399
<v Speaker 1>the trend. You know, We've had over a dozen such

0:28:09.000 --> 0:28:12.159
<v Speaker 1>brand migrations happened just since our I p O, and

0:28:12.240 --> 0:28:14.119
<v Speaker 1>it was a big reason for IPO. We wanted to

0:28:14.160 --> 0:28:16.840
<v Speaker 1>show that really is a viable option, that we have

0:28:17.640 --> 0:28:20.440
<v Speaker 1>a strong balance sheet, that we have a profitable business,

0:28:20.640 --> 0:28:23.600
<v Speaker 1>that we have you know, great up time that anybody

0:28:23.640 --> 0:28:25.760
<v Speaker 1>can go and look at its status dot Olo dot

0:28:25.840 --> 0:28:29.840
<v Speaker 1>com and see in real time throughout our history how

0:28:30.040 --> 0:28:33.879
<v Speaker 1>secure and high performance and reliable our platform is, and

0:28:33.960 --> 0:28:37.440
<v Speaker 1>that restaurant brands can not make a decision between do

0:28:37.640 --> 0:28:40.400
<v Speaker 1>I buy it or do I build? But say I'm

0:28:40.440 --> 0:28:43.200
<v Speaker 1>going to buy the OLO platform and build. I'm going

0:28:43.280 --> 0:28:46.120
<v Speaker 1>to build and do the differentiated stuff for my brand

0:28:46.240 --> 0:28:48.640
<v Speaker 1>that makes me stand out and win the hearts and

0:28:48.760 --> 0:28:51.920
<v Speaker 1>minds of the guests to me. But I'm going to

0:28:52.080 --> 0:28:54.560
<v Speaker 1>use the engine that is OLO to power all the

0:28:54.680 --> 0:28:59.240
<v Speaker 1>undifferentiated heavy lifting and to bring about things like borderless

0:28:59.400 --> 0:29:01.880
<v Speaker 1>and like to dispatch and like ol pay that are

0:29:02.480 --> 0:29:06.560
<v Speaker 1>really platform level innovation that no individual brand could do themselves.

0:29:06.680 --> 0:29:10.080
<v Speaker 1>But at the scale of four thousand restaurants across six

0:29:10.160 --> 0:29:14.320
<v Speaker 1>hundred brands, Olo can do for the industry as kind

0:29:14.320 --> 0:29:18.520
<v Speaker 1>of a common good. So how do these feed into

0:29:18.560 --> 0:29:21.520
<v Speaker 1>your total growth algorithm moving forward. So we think about

0:29:21.840 --> 0:29:25.800
<v Speaker 1>new brands and new location growth as a four x

0:29:26.040 --> 0:29:30.000
<v Speaker 1>growth opportunity. We think about our ability to grow revenue

0:29:30.240 --> 0:29:33.800
<v Speaker 1>on a per location basis as the r PO opportunity,

0:29:33.880 --> 0:29:36.200
<v Speaker 1>and that's a twenty five x opportunity. So that's a

0:29:36.280 --> 0:29:40.480
<v Speaker 1>much bigger lever but together it's a hundred x opportunity

0:29:40.560 --> 0:29:44.080
<v Speaker 1>for OLO. Staying focused as we have been for nearly

0:29:44.160 --> 0:29:48.440
<v Speaker 1>eighteen years now on enterprise restaurants in the US, now

0:29:48.440 --> 0:29:51.720
<v Speaker 1>we've had a little bit of expansion beyond just enterprise restaurants.

0:29:51.760 --> 0:29:54.080
<v Speaker 1>We've also in the last couple of quarters started working

0:29:54.160 --> 0:29:58.719
<v Speaker 1>with se stores that have fresh food programs that can

0:29:58.920 --> 0:30:01.560
<v Speaker 1>use the same platform to let a guess order a

0:30:01.640 --> 0:30:05.480
<v Speaker 1>sandwich or a pizza or that sort of thing customized

0:30:05.800 --> 0:30:07.920
<v Speaker 1>made to order and come and collect it or get

0:30:07.960 --> 0:30:11.000
<v Speaker 1>it delivered just in time. So that's a little bit

0:30:11.040 --> 0:30:14.800
<v Speaker 1>of an expansion beyond the three hundred thousand enterprise restaurants

0:30:14.880 --> 0:30:18.800
<v Speaker 1>that we had considered our tam um. But we think,

0:30:18.880 --> 0:30:23.120
<v Speaker 1>you know, between the two thousand fresh food program see stores,

0:30:23.160 --> 0:30:25.880
<v Speaker 1>so three D fifty five thousand to do the math

0:30:25.920 --> 0:30:28.360
<v Speaker 1>on our eight four thousand into that three five that's

0:30:28.400 --> 0:30:34.080
<v Speaker 1>what gets you to the four x location growth opportunity. Cool. So,

0:30:34.160 --> 0:30:36.600
<v Speaker 1>you've been public for almost two years, has been difficult

0:30:36.640 --> 0:30:39.960
<v Speaker 1>to maintain your culture while while also playcating Wall Street.

0:30:39.960 --> 0:30:42.760
<v Speaker 1>I don't think so. I mean, what's nice about our

0:30:42.840 --> 0:30:46.360
<v Speaker 1>culture and the people that it attracts and the people

0:30:46.440 --> 0:30:50.240
<v Speaker 1>that it retains and grows over time. Everybody, to a

0:30:50.320 --> 0:30:53.520
<v Speaker 1>person within OLO has a lot of talent and can

0:30:53.680 --> 0:30:56.680
<v Speaker 1>work in many different industries, can work in a horizontal

0:30:56.760 --> 0:31:01.360
<v Speaker 1>technology company. They choose to work at OLO because fundamentally

0:31:01.400 --> 0:31:04.920
<v Speaker 1>they love restaurants. That is the common variable. We all

0:31:05.040 --> 0:31:07.959
<v Speaker 1>love the problem space that we work in. We love

0:31:08.040 --> 0:31:11.360
<v Speaker 1>that we can bring together solutions for restaurants that make

0:31:11.400 --> 0:31:15.040
<v Speaker 1>it better for restaurant guests and better for restaurant operators

0:31:15.440 --> 0:31:18.080
<v Speaker 1>and let the restaurant business be a better business because

0:31:18.200 --> 0:31:21.440
<v Speaker 1>we exist. And I find that that is really this

0:31:21.640 --> 0:31:24.560
<v Speaker 1>source of meaning and purpose. You hear a lot of

0:31:24.640 --> 0:31:27.280
<v Speaker 1>companies like wondering about how are we going to become

0:31:27.360 --> 0:31:30.840
<v Speaker 1>purpose driven and retain people because they care about, you know,

0:31:30.960 --> 0:31:34.480
<v Speaker 1>what we're doing, not just a paycheck. That's inherent in

0:31:34.560 --> 0:31:37.240
<v Speaker 1>a company like oh Loo. Like we all love restaurants.

0:31:37.280 --> 0:31:39.520
<v Speaker 1>We want to make restaurants better. We live through COVID

0:31:39.600 --> 0:31:43.400
<v Speaker 1>where we saw restaurants saying you know, you are our lifeline.

0:31:43.480 --> 0:31:46.520
<v Speaker 1>If you don't exist, we don't exist. And you enabled

0:31:46.560 --> 0:31:49.040
<v Speaker 1>us to stay in business, to keep our customers fed,

0:31:49.560 --> 0:31:52.800
<v Speaker 1>to keep our employees employed. That's stuck with us, That

0:31:52.960 --> 0:31:56.960
<v Speaker 1>like hardened that sense of meaning and purpose. And um, truly,

0:31:57.040 --> 0:31:58.640
<v Speaker 1>I feel like, you know, this is the work that

0:31:58.720 --> 0:32:00.400
<v Speaker 1>I was put on this earth to you, and I

0:32:00.480 --> 0:32:03.440
<v Speaker 1>feel like incredibly lucky to be doing it at this

0:32:03.600 --> 0:32:06.520
<v Speaker 1>moment in time because there's only one time in history

0:32:06.640 --> 0:32:10.000
<v Speaker 1>when the restaurant industry, this massive trillion dollar industry, will

0:32:10.040 --> 0:32:14.360
<v Speaker 1>go through a digital transformation. That's right now, and this

0:32:14.560 --> 0:32:18.000
<v Speaker 1>is the platform where it's happening. So I'm incredibly grateful

0:32:18.360 --> 0:32:21.440
<v Speaker 1>and at the same time, I'm incredibly unsatisfied because there's

0:32:21.520 --> 0:32:23.920
<v Speaker 1>so much more for us to do. And that's why

0:32:23.920 --> 0:32:25.160
<v Speaker 1>I think I'm gonna be doing this for the rest

0:32:25.200 --> 0:32:28.880
<v Speaker 1>of my career. Yeah. I love hearing how passionate you

0:32:29.000 --> 0:32:33.160
<v Speaker 1>are about the industry and how you're employees are passionate.

0:32:33.320 --> 0:32:37.080
<v Speaker 1>And I think it's helped. It's got to be helped by, uh,

0:32:37.720 --> 0:32:41.040
<v Speaker 1>the great people in the hospitality industry. Man, I've covered

0:32:41.080 --> 0:32:44.840
<v Speaker 1>about half a dozen different sectors, and uh, they're just

0:32:45.000 --> 0:32:49.760
<v Speaker 1>different in the best way. You know. Um, it's amazing

0:32:49.840 --> 0:32:55.200
<v Speaker 1>how much collaboration, how sharing of ideas, UM, how open

0:32:55.960 --> 0:32:59.640
<v Speaker 1>and just you know, down to earth people in the restaurant.

0:32:59.640 --> 0:33:02.840
<v Speaker 1>And it is a really fun community. And it is

0:33:02.880 --> 0:33:05.600
<v Speaker 1>a community that's based on attracting people that you know,

0:33:06.000 --> 0:33:08.960
<v Speaker 1>want to make everybody feel like they're part of the community.

0:33:09.200 --> 0:33:12.880
<v Speaker 1>And that's kind of the essence of hospitality. Our role

0:33:12.960 --> 0:33:15.680
<v Speaker 1>in that is being the engine and sort of hard

0:33:15.800 --> 0:33:19.760
<v Speaker 1>coding into a software platform that can enhance that hospitality.

0:33:20.320 --> 0:33:22.360
<v Speaker 1>All the things that we've learned along the way from

0:33:23.040 --> 0:33:25.240
<v Speaker 1>great folks like Danny Meyer, who has been a board

0:33:25.280 --> 0:33:28.280
<v Speaker 1>member at OLO since two thousand fourteen and who kind

0:33:28.280 --> 0:33:32.040
<v Speaker 1>of wrote the the Bible as far as I'm concerned,

0:33:32.520 --> 0:33:36.000
<v Speaker 1>and setting the table that enlightened hospitality. So the big

0:33:36.120 --> 0:33:37.720
<v Speaker 1>challenge for me is how do I take some of

0:33:37.800 --> 0:33:40.240
<v Speaker 1>these principles and how do I put that into a

0:33:40.360 --> 0:33:45.640
<v Speaker 1>platform that can really lift all ships. Very cool? So,

0:33:45.840 --> 0:33:48.000
<v Speaker 1>is there anything important to the story that we missed

0:33:48.120 --> 0:33:50.600
<v Speaker 1>or that you'd like to reiterate for potential investors? I

0:33:50.680 --> 0:33:54.160
<v Speaker 1>think the biggest thing that people miss is just how

0:33:54.360 --> 0:33:58.840
<v Speaker 1>big the restaurant industry is and how early it is

0:33:59.120 --> 0:34:02.680
<v Speaker 1>in this digital transformation journey. I mean, you have different extremes.

0:34:02.720 --> 0:34:06.160
<v Speaker 1>You people who focus on delivery only and think, oh,

0:34:06.400 --> 0:34:09.800
<v Speaker 1>it's so digital, it's so penetrated, but they miss that

0:34:10.120 --> 0:34:13.760
<v Speaker 1>digital delivery is just six percent of total industry sales.

0:34:14.640 --> 0:34:17.920
<v Speaker 1>There's another ninety four percent out there, and although we're

0:34:17.960 --> 0:34:21.320
<v Speaker 1>going after the hundred percent, we believe that every transaction,

0:34:21.480 --> 0:34:25.879
<v Speaker 1>every service model can be made better through the digital transformation.

0:34:26.640 --> 0:34:29.920
<v Speaker 1>And we believe that that doesn't mean a cold heartless

0:34:30.040 --> 0:34:33.799
<v Speaker 1>experience for the guests. That in fact, a digital transformation,

0:34:34.520 --> 0:34:38.480
<v Speaker 1>a digital order experience and the data that throws off

0:34:38.719 --> 0:34:41.600
<v Speaker 1>can really raise the bar on hospitality and make it

0:34:41.719 --> 0:34:47.200
<v Speaker 1>an even more kind of human experience, which is surprising

0:34:47.239 --> 0:34:48.640
<v Speaker 1>to people when they hear me talk about it in

0:34:48.760 --> 0:34:52.480
<v Speaker 1>that way. Yeah, for sure. I was. When I was

0:34:52.560 --> 0:34:55.920
<v Speaker 1>down at I c R. I had I had some

0:34:56.040 --> 0:34:57.640
<v Speaker 1>time to go to lunch, and I went to Bar

0:34:57.719 --> 0:35:01.719
<v Speaker 1>Taco and it's a it's a digital experience, right, and uh,

0:35:02.160 --> 0:35:04.240
<v Speaker 1>it freed up so much time for the food runners

0:35:04.320 --> 0:35:06.520
<v Speaker 1>and the manager and the bartender to come over and

0:35:06.719 --> 0:35:09.560
<v Speaker 1>have a conversation and the experience was was phenomenal. So

0:35:09.680 --> 0:35:13.840
<v Speaker 1>digital can play a huge role in enhancing the experience,

0:35:13.840 --> 0:35:16.520
<v Speaker 1>exactly right. That's a that's a great example, and um,

0:35:16.600 --> 0:35:19.480
<v Speaker 1>I think many many more restaurant brands are taking a

0:35:19.520 --> 0:35:22.320
<v Speaker 1>page out of the Bar Taco playbook and seeing ways

0:35:22.440 --> 0:35:26.120
<v Speaker 1>for digital to impact not just take out and delivery,

0:35:26.239 --> 0:35:29.799
<v Speaker 1>but also on premise and also drive through. It's really

0:35:29.880 --> 0:35:34.680
<v Speaker 1>about every service model and providing that heightened guest experience

0:35:35.040 --> 0:35:38.080
<v Speaker 1>and also the data that comes out of that experience,

0:35:38.320 --> 0:35:40.439
<v Speaker 1>using that as a feedback loop to make it even

0:35:40.520 --> 0:35:45.080
<v Speaker 1>better next time around. Cole, I think that's a perfect

0:35:45.120 --> 0:35:47.759
<v Speaker 1>place to wrap it up. Where's the potential customers and

0:35:47.840 --> 0:35:51.040
<v Speaker 1>investors go to find more about Easy? It's Olo dot

0:35:51.160 --> 0:35:55.560
<v Speaker 1>com or on Twitter. It's just Olo. Is the is

0:35:55.640 --> 0:35:59.600
<v Speaker 1>the handle all right? Nice? And easy? Well, thanks again

0:35:59.680 --> 0:36:02.040
<v Speaker 1>for doing this note, and I look forward to continuing

0:36:02.120 --> 0:36:05.320
<v Speaker 1>to follow the story uh and and following the the

0:36:05.640 --> 0:36:09.440
<v Speaker 1>additional you know, breakthroughs that that UH you and your

0:36:09.440 --> 0:36:11.680
<v Speaker 1>team at Alo make and for the restaurant. Thank you

0:36:11.880 --> 0:36:13.040
<v Speaker 1>very much. It's great to be here.