Orderscape wants to be the voice layer for ordering food through Alexa and others

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With might. Overstate, like tell us a little bit about horror stating orders. Cape is based in sounds California. We're voice technology company. At our focus is the food service restaurant sector to enable conversational commerce, which is a two-word word way of saying able voice ordering using a assistance, primarily, Alexa and Google assistant. What's the best thing you've seen here. He just left the presentation by lease soccer who had restaurant group. They're very focused on syndicating brand differ mation across the web, like hours of operation menu, information, things of that nature to spread out there, exposed brand data. They're very focused on search for voice. And as we are for commerce engine meaning facilitate transactions, but an voice context, you really need to have a very precise concise. Search algorithm to bring you right to the food that you want. So the way the web normally works is you, you search for a restaurant, and then you look at several restaurants to decide where you want to dine, either in or out whether it's to liberty takeout or dining with the voice world. It's really about food. I, it's foist first food. I in that context really have to go to the actual menu item. So give example if I'm most people about seventy percent or more think about what they want order before they think about where they wanna go. Yeah, the outlier is fine, dining follower to go to Gramercy tavern. I'm just gonna go my wife and I are gonna have a great time because the food's great. But in normal course of dining, I want barbecue where I want Indian food. So I think about what I would, but cuisine, I've a hankering for and then I think about worrying wanna go kit. That's seventy percent of the time which is inverted from how grub hope currently works all these guy, digital dining apps because they give you zip code and then they find restaurants, then you have to call to the menus to find out if there's something there for you for Indian food. So we invert that voice context really have to know what you want for where you wanna go to it. So in fettuccini Alfredo fettuccine Alfredo voice context on order scape, you would go right to the item. It'll have six restaurants that serve that you off right. In a grove environment or even Google environment, they'll show you PD entry, they'll show you recipes. They'll show you three or four restaurants on the homepage and you you have to do is click on the websites. Find the menu coal to the menu items looking for finishing afraid. You don't have that that luxury avoid environment. You're gonna lose people very fast. So it changes. What is your perspective on. The short to intermediate term future voice. Are you as bullish as everyone else here? Are you a little bit skeptical? What roadblocks in the way that you see need to be cleared out for voice to fulfill its potential share share with us your perspective share, you know it's early. I mean, any new. Technology like this, that that creates a new user experience new you is going to be, it's going to be early. But the reality is that it's ramping up very, very quickly. We already know how to our smartphones. We already know in our context, we already know how to learn food. The the, the adoption rate for these voice assistance is unbelievable in a very short period of time. I mean, Alexa was launched in late two thousand fourteen and what is early remit? Two thousand eighteen over one hundred million users of these devices. Compare that track with smartphones, even this is the fastest Right. By twenty twenty. It's forecast by fair amount of consistent research firms just going to be well over fifty percent. So the kid there, there has to be more use cases for that search. So if I know that I can find restaurant and I can find Vicini afraid, for example, by using my voice, I'm gonna use it more frequently. Sure. So we're kind of educating ourselves for quickly. So from a from an entrepreneur perspective, it's it's very slow ramp because we're always gonna hurt from an investor perspective because I am. It's it's early in the venture community. This this segment right here being talked about is very skeptical refer to to to tractions points of reference. There's not enough. There's as many metrics they would like about frequency of use, average guess check things of that nature. So the community is not really embracing startups as much as they should or would like, but that over the next twelve to eighteen months my crystal, the next twelve eighteen months. It's going to be an explosion of use use cases companies funding, because within two years, this will

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