Name: Welcome To The Future of Pizza
Uploaded: 2016-09-29
Duration: 3 min 1 s

[ MUSIC ] At Zoom, we have what we call a co- bot environment. So humans and robots working collaboratively to prepare food. Robots do everything from dispensing sauce To spreading sauce, to placing pizzas in the oven. And then very shortly we'll also have robots that take the pizza out of our [ UNKNOWN ] bake oven, and into our baking on the way oven. The important thing for us is to be able to deliver incredibly high quality food At a fair price and with convenience, and so what we've chosen to do is to use this next generation of highly intelligent automation to integrate these flexible robots. Into our production process. Bringing robots into the process frees up the folks who would otherwise be working on our kitchen to do other things to improve the quality of the food. We're delivery only. And because we don't have retail store fronts, we have a little bit of extra margin to play with that we can reinvestment in super high- quality food. Probably the most important thing we do is we cook the food while it's being delivered. So as it Finishes cooking. Right as it finishes it pulls up to the curb in front of your house and you get something that's pizzeria fresh and hot and sizzling. And the cool thing about that apart from the way it tastes is that we don't have to put any chemical stabilizers in the food to keep it crispy while it's being delivered, so you get the healthiest pizza you've ever hard before. Zume launched in Mountain View in April of this year. Our current radius serves about 65, 000 households, and with the next launch of our baking on the way product, we're gonna be able to cover 650, 000 households. Pizzas of 40 billion dollar a year industry domestically, but so much of that market is really underserved by traditional pizza. Food trucks are limited by the fact that they can't cook while they're in motion. Their firm further limited by the fact that they have to make a bet about where to park and begin selling that day. Zume is actually able to use artificial intelligence and machine learning to predict what orders customers will place and actually pre- load that inventory into the system. Pizza. So, if you can imagine this highly intelligent logistics platform that's optimized to increase the number of pizzas that we can sell, and decrease the delivery time for each pizza. We often talk about Dominos as a proxy for the rest of the industry, because they all look. Roughly the same. They compete on the basis of speed, quality and price. And all of it is predicated on this belief that it's impossible to get better than their current delivery times. It's not possible to make a healthier, fresher product than their current product, it's not possible to offer better prices. And what we've done is we've found a way to do all three of those things and still build a great business doing that. [ MUSIC ]