Big Data Food Delivery

Speaker 1 (00:07):

Welcome to TARTLE CAST, with your hosts Alexander McCaig and Jason Rigby. Where humanity steps into the future and source data defines the path.

Alexander McCaig (00:26):

So my American Express gives me $15 every month towards Uber Eats. I've got to tell you, when I order something, it gets there pretty quick. Most of the time it's 15 minutes. I don't know if that's just where I am or what, but the algorithm, it'll even say that the driver's also picking up another delivery and has to make it first. It already lays out the most efficient path for these drivers who are dropping this food off. And what we found here is that a food delivery company... Is this an Asia?

Jason Rigby (01:01):

No, Malaysia.

Alexander McCaig (01:02):

Malaysia. In Malaysia has found incredible efficiencies. Almost a 200% increase in efficiency from saying, "We're going to analyze big data, location information, traffic information, so we can guide our drivers in the best possible route."

Jason Rigby (01:20):

Yeah. Foodpanda is the name. They have 30,000 Foodpanda riders, so they are averaging deliveries up to three trips per an hour now because of they analyze computationally to reveal patterns, trends, and associations. And this is really interesting. I love this part. He said, "Food delivery is in fact, the proverbial poster child of big data's effectiveness in operating the billion dollar delivery industry."

Alexander McCaig (01:44):

No, it really is. Because when you talk about logistics, we all know the most efficient point between two line... Forget it.

Jason Rigby (01:56):

We know what you're saying.

Alexander McCaig (01:57):

Yeah. We're all know what I'm saying. Okay. The shortest distance between two points is a straight line. That's what these algorithms are trying to do. How do we create the straightest line for our delivery drivers? Because that's going to cut down time, it's going to cut down cost, it's going to make our customers extremely happy.

Jason Rigby (02:12):

Yeah. And this was interesting, "[inaudible 00:02:13] crucial customer data collected from reviews and social media networks can be used in providing personalized and customer structured needs. And in turn assist in tweaking operational procedures to achieve the desired outcome."

Alexander McCaig (02:26):

Yeah. So if a Foodpanda guy shows up and you ordered your food and he just whips the bag while he's on his bike and it hits your door. Well, someone's going to go on social media and be like, "Well, look what happened." Well, we need to tweak our standard for how we actually place the food at the doorstep. You know what I mean? I'm not bombing a newspaper.

Jason Rigby (02:44):

Well, we're seeing it now. And he talks about this cloud kitchens delivery, only setups. We're seeing where you'll have five to 10 different companies and they're all using the same kitchen and there's no place for somebody to sit. This is a kitchen in an industrial area that's just producing food and then delivery drivers are going to that. I mean, that's going to be the restaurants of the future. And cloud kitchens, delivery only setups, these are all available because of big data.

Alexander McCaig (03:11):

Mm-hmm (affirmative). And I think it's cool because logistics, that's about that efficiency. And if we're trying to deliver a product, especially a material product, you want to do with the least amount of waste possible.

Jason Rigby (03:22):

Yeah. And this is so interesting. He said, "All these companies are just shots in the dark." That's what he said. They're shots in dark saying, "We'll be there 20 minutes, we'll be there 30 minutes." He said, "With big data, we know the exact time."

Alexander McCaig (03:34):

Yeah. That's core delivery. There's no hunch. There's no telling your customer something and then they become disappointed because you're 20 minutes late. They're just like, "Here is what it is." I can anticipate with a pretty good idea, depending on what traffic and what else is going on and how big my order is, how long it's going to take that delivery driver to be at my doorstep.

Jason Rigby (03:52):

Yeah. And real time data collection, traffic, route plans. I saw that the other day, I was looking for a UPS package and I knew I wasn't going to be here.

Alexander McCaig (04:00):

I was just about to use this metaphor. Go ahead.

Jason Rigby (04:02):

And I went on the UPS app and it showed him driving around. So I needed to get the package, it was an important one, it had some expensive things in there. So I actually went and I found him. It was on the app. I looked him and then I found him. And he was super cool. UPS driver, shout out UPS driver here in [Albuquerque 00:04:23]. He was like, "Oh, that's so cool. I'm glad you got it." And he goes, "There's two other packages for you too." And he hands them to me through his little-

Alexander McCaig (04:29):

He's like "Great. I don't have to do anything."

Jason Rigby (04:30):

Yeah. "I don't have to go through the gate and all that stuff." And so he was excited about it, but-

Alexander McCaig (04:36):

And that's a tracking stamp?

Jason Rigby (04:37):

Yes.

Alexander McCaig (04:38):

But what about UPS drivers when they did that big study? They're like, "We're not going to do any left-hand turns." Everybody's going to do right-hand turns. That way you don't have to stop and you can go right on red. So that way you're always taking the most efficient line. Even if you need to go left, you just have to go right a couple of times and now you're going left.

Jason Rigby (04:54):

But there's a big thing, and this is kind of a small part in helping humanity in what he talks about is creating this big data, coming out with these efficiencies, the productivity in how they can do that also lends to food wastage.

Alexander McCaig (05:08):

Yeah. No. That's a big deal, right? So we know how much to buy, how much to cook, how much to deliver effectively. And if we deliver it on time, well, the food's not cold. It's not going to go to waste.

Jason Rigby (05:18):

I mean, how much waste of restaurants of wasting food.

Alexander McCaig (05:21):

So much. And it's a bummer that they have to throw it all away because the state says you can't give that food out even to the homeless. But yeah. That's essentially the point. Food waste is a huge thing. Especially if there's food scarcity in so many areas. We, as the people who have access to it, really shouldn't be wasting it.

Jason Rigby (05:37):

Yeah. And when you look at market trends of consumption, when you begin to look at temperature. I mean, all of these things play a role in turning your... Especially consumption, if they know [Pho 00:05:48] Soup or Pho soup, and everybody does that in the fall and winter because... Then we know we can ramp up for that. And we know summertime, we're going to have a 60% decrease in that soup, then we're not sitting there throwing out pots of soup away. It's that simple.

Alexander McCaig (06:03):

Walmart does a great job with this.

Jason Rigby (06:05):

Mm-hmm (affirmative). Yes, they do.

Alexander McCaig (06:05):

Walmart is so technology driven and they just supply so much product that it's important for them to do so. Especially with these huge grocery markets that they have in their super centers. I mean, the last thing they want is that food waste. There's a big difference between a coffee maker sitting on a shelf that can be there for a while or a cucumber or an onion that's starting to rot in a box. That's the first thing you see when you walk in.

Jason Rigby (06:28):

Yeah. And he says, "This transport pattern and profiling helps us decide on future cloud kitchens as demand for a certain type of food is seen to be frequently ordered within a certain area, thus making it sensible for our cloud kitchen to be set up in that area."

Alexander McCaig (06:40):

Yeah. So you can actually use this data to say that we should probably be over here. And they're analyzing it. An easier path would be for Foodpanda to go on TARTLE and be like, "Well, what type of food do you want and where do you reside?" So rather than waiting for someone to buy it and then be reactive to it, I just know exactly where to go put that food kitchen.

Jason Rigby (07:00):

Yeah. And he said, "This will eventually cut transport cost in time, allowing us to make our pricing more competitive for our customers as well." This is a win-win. This is how big data helps. "We're eliminating waste, we're being more productive, we're being competitive so that the consumer wins when there's competition, especially on the pricing side of things. We're getting way more efficient." I mean, it's just a win. This is when I love to see a company use big data for the right reasons.

Alexander McCaig (07:27):

Yeah. And if they're preserving food at the same time, that's cool. I love it. If it gives people access to eat things that they otherwise didn't have access to. Awesome.

Jason Rigby (07:37):

Yeah. And when a company could turn around and say, "Okay. Yes, we're a restaurant company. Our commitment is to...." Like Chipotle, we've talked about them before they do this really well. Where say, "Okay. We're going to look at the farmers, we're going to look at the quality of food, where we getting it from." And then from there that's going to be our main focus and you may pay a dollar or two more, but at the end of the day, we want to have zero waste. Chipotle's are very simple inside, there's just wood everywhere. It's very, very simple, very effective, it's helping humanity, it's just a win.

Alexander McCaig (08:08):

What about McDonald's? We have a billion served. Who cares? How many cows did you not kill? You know what I mean? How much food-

Jason Rigby (08:18):

We have a billion people obese.

Alexander McCaig (08:21):

How many metric tons did you prevent from waste?

Jason Rigby (08:24):

I would love to talk to an ethics officer or somebody at McDonald's. Or any of these companies like Philip Morris or some of these older companies because they may be looking at taking something. And I want to give them the benefit of a doubt because ultimately I believe in team human and I know you do too.

Alexander McCaig (08:43):

Sounds like a good t-shirt.

Jason Rigby (08:45):

Yeah. I would love to be able to... There's a book on that, that's where I got the statement from. So I want to give credit. But could you imagine if there's a think tank at McDonald's right now that's thinking about making their food better? How awesome would that be? If McDonald's would be like Chipotle, and they would have that influence like Walmart's doing with organic food, I would start consuming food at McDonald's.

Alexander McCaig (09:10):

Yeah. When you highlight those things, and we talked about this all the time, that 16% of the public that only thinks you're doing the right thing. Well, you can bring on the other 84% now. You start to crawl into the 84% by highlighting the good stuff that's going on. Really, talk about all the good stuff.

Jason Rigby (09:29):

Yeah. You just bought a Patagonia jacket and I was online, this was funny and they must've heard us or something. So Patagonia serving me ads.

Alexander McCaig (09:35):

Nice job Pati.

Jason Rigby (09:36):

But you know what their ad is?

Alexander McCaig (09:37):

What?

Jason Rigby (09:37):

The ad is this, and they're serving me your jackets. So it's so weir., Maybe they know you bought the jacket and then you came over here with the triangulation and location and all that. So that jacket that you bought with the filler inside, is their ad. And saying that we've got to the point, we've refined this over 25 years or whatever it is, that we've got to the point to where this is the most environmental friendly materials that we can use in our jackets.

Alexander McCaig (10:04):

It is awesome. You don't need to rip the feathers of a goose.

Jason Rigby (10:06):

And they're running an ad that is for humanity. You can market for humanity.

Alexander McCaig (10:12):

Yeah. And guess what, the jacket's only a by-product. Patagonia has such just amazing focus. They should be a model that other companies should strive to take, even major clothing producers. Look for their model, it's phenomenal.

Jason Rigby (10:32):

Yeah. We'd love Apple to step into that role. Samsung. Some of these things that we're consuming.

Alexander McCaig (10:39):

Yeah. Apple has these ads, behind the screen or whatever the heck it is.

Jason Rigby (10:44):

Yeah. The new one where they're showing people create art with-

Alexander McCaig (10:48):

Whatever.

Jason Rigby (10:49):

Yeah.

Alexander McCaig (10:50):

Whatever. Let's talk about what you do as a company.

Jason Rigby (10:57):

If I was going to make an ad, I would show the process of creating a phone and how it's extracted from all these different parts of the world.

Alexander McCaig (11:05):

That's interesting.

Jason Rigby (11:06):

And then from each of those, here's how we're elevating that local culture. And it shows dancing and there's dancing and it's like these children are not being used to get lithium out of the ground.

Alexander McCaig (11:16):

I was just about to use the lithium comment again. Yeah. In this lithium mining operation for the battery [crosstalk 00:11:22].

Jason Rigby (11:22):

Are those suicide nets. We have Apple employees from the United States, Canada and UK going to these factories and removing them because we've created sensible hours for these employees to work and to show that power of taking those and people crying and bringing those suicide nets down.

Alexander McCaig (11:41):

Come on.

Jason Rigby (11:41):

Yeah. I mean, that is an ad.

Alexander McCaig (11:44):

Or don't build your building any higher than 10 feet.

Jason Rigby (11:48):

That's terrific, Alex.

Alexander McCaig (11:49):

I know. Well, it's just an idea. How do we centralize it, stack it high and make it efficient?

Jason Rigby (11:55):

Yeah. I mean, that's the whole... Yeah. I love-

Alexander McCaig (11:59):

Or build it underground so I don't have to see your factory and then no one can jump from anything.

Jason Rigby (12:02):

I love that TARTLE is the future and that TARTLE is here specifically to help humanity. And when somebody signs up at tartle.co, not only can they share their data, not only can they earn money, but they get to help their world. How do they help their world?

Alexander McCaig (12:19):

They're helping their world with the data. If you've seen just with Foodpanda delivery, the power of how that can get a sandwich to your door or a bowl of soup efficiently at the lowest cost possible without having a huge carbon tax to do so, that's one little sliver of the power of data. On frankly, one of the most insignificant things ever. Now let's start to channel that towards things that are extremely significant, even public health. You like these social determinants, we can all come together at that data and say, "This is how we're determining what the health of us as a society, as a human race looks like and what it should be benchmarked against." TARTLE allows for the highlighting of the best parts of humanity. Wouldn't you want to see that? I get tired of watching the news and seeing the worst parts of humanity.

Alexander McCaig (13:11):

We need to highlight the best stuff all the time. Transparent. Clean. Not to say that there's not some negative things that need to be highlighted because you need to learn from those, but learn that we need that for balance, but we need to start to highlight more of the good because a lot of that is missed. The perspective is totally out of whack right now, we haven't found that equilibrium. And once we find that stabilization, we stabilize our climate, we stabilize public health, we stabilize economicalization, educational access, government and corporate transparency, global peace. Those are wonderful things that we can look for and say, "Look at what we did." I want people to run around and shout and talk about that at the world economic forum.

Jason Rigby (13:57):

And how can somebody be a data champion and how can they help in these seven big issues that face our world?

Alexander McCaig (14:03):

To be a data champion that requires you, first of all, getting the tools for your journey. And the one tool required for that is TARTLE. And then after you have those tools, you need to be responsible with them. And you responsibly take those tools on your journey to say, "I want to put my data towards these causes. These are the battles I want to go in and these are the ones I want to win. I want to be the champion of this battle. I want to cut through all the crap with my data sword. And I want to say, 'here's the truth. Here's me. Here's me defining what that future looks like for everybody, including myself.'" And I'm not going to battle to separate people or in any sort of competitive stance.

Alexander McCaig (14:48):

I am being that data champion on TARTLE with this tool because I want to see what a unified planet looks like. I want to see what a planet looks like with longevity beyond 70 years. I want to really taste global peace. I want to know that in my lifetime. I don't want to believe in it, I want to know it for a fact. And that's what joining TARTLE, being a data champion, showing that sort of power and response that can happen with our data when we collectively come together, that is how we define the brightest future for ourselves.

Jason Rigby (15:21):

Last question. If you're Foodpanda, if you're Chipotle, if your Patagonia, we mentioned all these companies. In our earlier podcast we mentioned Raytheon, [inaudible 00:15:33], any company. And you're out there and you say, "I want to be a part of TARTLE. I want to purchase data that's ethically source. I want to purchase data that is going to help humanity." How can these companies get involved with TARTLE?

Alexander McCaig (15:48):

In the same simple format as if you were to sell it as a seller. If you're a person that wants to share your data, it's as easy as to sign up as a person that wants to purchase data so they can do it for their own analysis. And that's just by going to tartle.co and saying, "Okay. Here's the catalog of data that's available? What do I want? Do I want to mix and match it? Do I want total customization?" Sure. I can choose what that specific data set is for Foodpanda or Chipotle. And you're saying that I want to do more for society. I want to do more for humanity. I don't want to be reactive. I want to be proactive. I don't want to operate on a hunch. I don't want to believe in things, I want to know for a fact.

Alexander McCaig (16:35):

That is taking a strong, strong stance. And that is aligning with people, not aligning with other businesses and aligning with where industry is headed or what [Davos 00:16:46] is telling you. It's saying, "I want to align with human beings because I know that they are the fundamental thing that supports our systems and all the interactions on this entire planet."

Jason Rigby (16:57):

Yeah. And maybe there's an executive out there and they're from Walmart Chipotle, any of these, Patagonia, and they want to have a conversation. What's the easiest way for them to get ahold of us?

Alexander McCaig (17:05):

They can write an email to contact@tartle.co, podcast@turtle.co, or they can call our main line. We're not a closed door here. Reach out, we're here to talk and listen. This is something that's worth time and we're willing to spend that time with you. We have not made this a commodity. In no way is it a commodity it's too important for it to be commoditized. We don't commoditize human beings. So we're not going to commoditize your time. We're going to create moments with you, we're not just going to say here's an hour, call it. We'll do what it takes to make sure that we're all making the best most effective choices.

Jason Rigby (17:45):

For humanity.

Alexander McCaig (17:46):

For humanity. Perfect. Close us out.

Speaker 1 (17:56):

Thank you for listening to TARTLE Cast, with your hosts, Alexander McCaig and Jason Rigby. Where humanity steps into the future and source data defines path. What's your data worth?