1 00:00:00,120 --> 00:00:03,080 Speaker 1: Hi Mark, Hey Da. So for those of you listening, 2 00:00:03,320 --> 00:00:06,200 Speaker 1: what did you have for breakfast today? Well? Me, I 3 00:00:06,280 --> 00:00:10,080 Speaker 1: had overnight oats with oat milk and blueberries. Oh and 4 00:00:10,200 --> 00:00:12,880 Speaker 1: uh the dousing of honey of course. But this is 5 00:00:12,880 --> 00:00:15,840 Speaker 1: actually a standard question people use for sound checks in 6 00:00:15,920 --> 00:00:18,439 Speaker 1: the industry because it always gets guests warmed up. People 7 00:00:18,440 --> 00:00:21,320 Speaker 1: always have an answer, even if it's I didn't have breakfast, 8 00:00:21,560 --> 00:00:23,320 Speaker 1: and it always sparked conversation. You can get a good 9 00:00:23,320 --> 00:00:25,960 Speaker 1: sound check. But the interesting part here for us today 10 00:00:26,000 --> 00:00:28,160 Speaker 1: is for our next guest, we changed the question ever 11 00:00:28,200 --> 00:00:30,639 Speaker 1: so slightly too how did you get your breakfast? So 12 00:00:30,720 --> 00:00:32,680 Speaker 1: think about how your food got to you today. Did 13 00:00:32,680 --> 00:00:35,840 Speaker 1: it get delivered by a grocery delivery service like Ocado 14 00:00:36,000 --> 00:00:38,239 Speaker 1: or instat cart, or did you decide to get some 15 00:00:38,280 --> 00:00:41,720 Speaker 1: hot food via Uber eat store, Dash or delivery. Or 16 00:00:41,800 --> 00:00:43,680 Speaker 1: did you have a pretty big night last night and 17 00:00:43,760 --> 00:00:47,080 Speaker 1: you're eating day old Domino's pizza that was delivered directly 18 00:00:47,120 --> 00:00:49,839 Speaker 1: from them the night before, whether you realize it or not. 19 00:00:49,960 --> 00:00:53,120 Speaker 1: In some cases they're vertically integrated with their own delivery vehicles, 20 00:00:53,240 --> 00:00:55,720 Speaker 1: or they're calling upon the gig economy. So did your 21 00:00:55,720 --> 00:00:59,400 Speaker 1: food arrived by bike, moped, car, refrigerated truck was powered 22 00:00:59,400 --> 00:01:03,240 Speaker 1: by pedal power, our electric diesel or unlettered petroleum. So 23 00:01:03,320 --> 00:01:06,280 Speaker 1: the research note that we're talking about today is biennfs 24 00:01:06,319 --> 00:01:09,319 Speaker 1: first look at this part of the transportation universe. And 25 00:01:09,400 --> 00:01:12,080 Speaker 1: with the advent of COVID nineteen and fewer visits to 26 00:01:12,160 --> 00:01:15,560 Speaker 1: brick and mortar stores, food delivery has become a global 27 00:01:15,560 --> 00:01:20,000 Speaker 1: phenomenon with many players and modes of delivery around the world. 28 00:01:20,200 --> 00:01:22,759 Speaker 1: This week on the show, we have Andrew Grant. He's 29 00:01:22,800 --> 00:01:25,080 Speaker 1: an intelligent Mobility analyst for us at b an e 30 00:01:25,200 --> 00:01:27,880 Speaker 1: F and our discussion is based on a report titled 31 00:01:28,240 --> 00:01:31,959 Speaker 1: can food Delivery Services Deliver Profits? BENOF users can get 32 00:01:31,959 --> 00:01:34,240 Speaker 1: this report on BNF dot com, the BENF mobile app, 33 00:01:34,400 --> 00:01:37,080 Speaker 1: and the Bloomberg terminal. As a reminder, BENF to stop 34 00:01:37,080 --> 00:01:38,920 Speaker 1: provide investment or strategy advice, and you can hear the 35 00:01:38,920 --> 00:01:41,200 Speaker 1: full disclaimer at the end of the show. I'm Mark 36 00:01:41,200 --> 00:01:44,520 Speaker 1: Taylor and I'm Dana Perkins, and you're listening to Switch 37 00:01:44,640 --> 00:01:56,240 Speaker 1: on the b F podcast. Andrew, Welcome, Hi, mak Hi, Dana, 38 00:01:56,560 --> 00:01:58,960 Speaker 1: good to be here. Thanks for joining us. So can 39 00:01:59,000 --> 00:02:02,400 Speaker 1: you kick us off today with kind of a background question. Really, 40 00:02:02,440 --> 00:02:05,400 Speaker 1: we're curious of why you are be enough decided to 41 00:02:05,440 --> 00:02:08,480 Speaker 1: do this note and who's it aimed at? The real 42 00:02:08,600 --> 00:02:12,240 Speaker 1: big picture. The idea behind it is, as you well know, 43 00:02:12,560 --> 00:02:16,320 Speaker 1: every year we publish a an electric vehicle outlook or 44 00:02:16,440 --> 00:02:20,880 Speaker 1: EVO that really encompasses all of road transport. In the past, 45 00:02:20,919 --> 00:02:24,520 Speaker 1: we focused a lot on how people move around, but 46 00:02:24,760 --> 00:02:28,640 Speaker 1: we are increasingly looking at the ways that things move around. 47 00:02:28,800 --> 00:02:31,360 Speaker 1: This is an extremely interesting space at the moment because 48 00:02:31,400 --> 00:02:34,360 Speaker 1: I know that we you know, as people have started 49 00:02:34,400 --> 00:02:36,760 Speaker 1: to spend more time working from home and being home, 50 00:02:36,960 --> 00:02:40,400 Speaker 1: people who would maybe previously not thought that they would 51 00:02:40,480 --> 00:02:43,920 Speaker 1: use one actually have or trying to. So walk us 52 00:02:43,960 --> 00:02:46,480 Speaker 1: through what you would consider to be There are three 53 00:02:46,560 --> 00:02:49,680 Speaker 1: different types of food delivery services. I mean you can 54 00:02:49,680 --> 00:02:52,359 Speaker 1: cut it a bunch of different ways. Whether that's the 55 00:02:52,520 --> 00:02:56,760 Speaker 1: items that these services are delivering, so either prepared meals 56 00:02:56,800 --> 00:03:00,680 Speaker 1: that are coming from from restaurants, a restaurant delivery. It 57 00:03:00,720 --> 00:03:03,520 Speaker 1: could be meal kit delivery so these or services like 58 00:03:03,560 --> 00:03:06,359 Speaker 1: Blue Apron and Hello Fresh, where it will be raw 59 00:03:06,520 --> 00:03:09,880 Speaker 1: ingredients or partially prepared ingredients that are packaged based on 60 00:03:09,880 --> 00:03:12,720 Speaker 1: a meal plan. And then there's the grocery delivery, which 61 00:03:12,800 --> 00:03:16,680 Speaker 1: particularly of late most major grocery chains have some service. 62 00:03:16,960 --> 00:03:19,200 Speaker 1: So you mentioned a couple of different companies here, and 63 00:03:19,240 --> 00:03:20,760 Speaker 1: I think one of the things that really struck me 64 00:03:20,800 --> 00:03:23,120 Speaker 1: when I was reading the research note preparing for today 65 00:03:23,320 --> 00:03:26,519 Speaker 1: was that there is a ton of market consolidation here. 66 00:03:26,880 --> 00:03:29,120 Speaker 1: So can you walk through the role that that has 67 00:03:29,160 --> 00:03:32,440 Speaker 1: played in this marketplace and then maybe name a few 68 00:03:32,480 --> 00:03:34,800 Speaker 1: other companies that you've seen quite a bit of this 69 00:03:34,840 --> 00:03:38,920 Speaker 1: consolidation with. Yeah, sure, this is a really swiftly growing 70 00:03:38,960 --> 00:03:42,640 Speaker 1: markets By our instimates, the revenge you generated by food 71 00:03:42,680 --> 00:03:46,920 Speaker 1: delivery companies globally in ten was dollars. So what we're 72 00:03:46,920 --> 00:03:49,200 Speaker 1: seeing a lot of his companies trying to expand into 73 00:03:49,240 --> 00:03:52,240 Speaker 1: other regions to kind of capture market share in those 74 00:03:52,280 --> 00:03:54,880 Speaker 1: regions where the market is kind of less saturated, and 75 00:03:55,000 --> 00:03:58,000 Speaker 1: then as the revenue grows in those regions, then they 76 00:03:58,000 --> 00:04:00,680 Speaker 1: can have a larger chunk of that. But then there's 77 00:04:00,680 --> 00:04:05,480 Speaker 1: also market consolidation to kind of reduce competition and reduce 78 00:04:05,600 --> 00:04:08,080 Speaker 1: those costs that companies need to spend in order to 79 00:04:08,080 --> 00:04:10,600 Speaker 1: promote their products. So some of the companies that have 80 00:04:11,000 --> 00:04:15,120 Speaker 1: kind of quite aggressively spread out and swallowed up some 81 00:04:15,160 --> 00:04:18,000 Speaker 1: of their comparitors. These are businesses like just Eat, which 82 00:04:18,080 --> 00:04:21,080 Speaker 1: was merged with Takeaway dot Com last year. Quite recently, 83 00:04:21,160 --> 00:04:24,480 Speaker 1: just about a month ago, Just Eat Takeaway also made 84 00:04:24,480 --> 00:04:27,719 Speaker 1: an agreement with Rubhub, which is the business operating throughout 85 00:04:27,720 --> 00:04:30,159 Speaker 1: the US and one of the market leaders in the US. 86 00:04:30,600 --> 00:04:33,360 Speaker 1: So now they really have this kind of coverage that 87 00:04:33,440 --> 00:04:38,440 Speaker 1: spans Latin America, North America, throughout Europe, and uh and 88 00:04:38,560 --> 00:04:41,560 Speaker 1: certainly in parts of Asia as well. These are companies 89 00:04:41,600 --> 00:04:44,919 Speaker 1: that are looking to kind of consolidate bring in a 90 00:04:44,920 --> 00:04:48,919 Speaker 1: lot of local players rather than starting up operations in 91 00:04:48,920 --> 00:04:51,839 Speaker 1: those markets. But it seems pretty regional. There's not a 92 00:04:51,880 --> 00:04:56,120 Speaker 1: global predominant leader, is there. Uh So, I mean, yeah, 93 00:04:56,120 --> 00:04:58,800 Speaker 1: there are regional champions for sure. When you think about 94 00:04:58,839 --> 00:05:03,680 Speaker 1: how hyper lo realized transport provision is, it's even more 95 00:05:03,760 --> 00:05:06,760 Speaker 1: so for food delivery. You've got to have really close 96 00:05:06,800 --> 00:05:10,599 Speaker 1: relationships with the restaurants in each individual region. So it 97 00:05:10,720 --> 00:05:13,920 Speaker 1: is quite challenging to kind of have that expertise across 98 00:05:13,960 --> 00:05:16,880 Speaker 1: the across the globe. These companies that are trying to 99 00:05:17,400 --> 00:05:20,000 Speaker 1: do that or at least unite a lot of different 100 00:05:20,040 --> 00:05:24,359 Speaker 1: businesses under one larger umbrella. So the companies I just mentioned, 101 00:05:24,400 --> 00:05:28,000 Speaker 1: so the the just Eat Takeaway entity and then delivery. 102 00:05:28,000 --> 00:05:31,000 Speaker 1: Hero Uber's kind of tried this approach in the past, 103 00:05:31,080 --> 00:05:34,560 Speaker 1: but has run into some challenges with some very strong 104 00:05:34,920 --> 00:05:38,840 Speaker 1: local competitors, most notably of late that has been in India. 105 00:05:39,040 --> 00:05:42,080 Speaker 1: Last quarter, they decided to sell off those operations there. 106 00:05:42,120 --> 00:05:44,520 Speaker 1: It was just proven too expensive to try and compete 107 00:05:44,520 --> 00:05:47,800 Speaker 1: with the local companies that are strongly tied in with 108 00:05:48,040 --> 00:05:51,520 Speaker 1: the restaurants, the customers, and the driver base. So the 109 00:05:51,560 --> 00:05:54,400 Speaker 1: three models you talk about in the note restaurant delivery, 110 00:05:54,480 --> 00:05:57,080 Speaker 1: meal kit delivery, and grocery delivery, which one of those 111 00:05:57,279 --> 00:06:00,560 Speaker 1: is the main form of delivery here. The work we've 112 00:06:00,600 --> 00:06:04,760 Speaker 1: done here focuses on restaurant delivery, so that's prepared meals 113 00:06:05,200 --> 00:06:07,640 Speaker 1: that are cooked and then delivered in a in a 114 00:06:07,680 --> 00:06:10,760 Speaker 1: short time frame. Restaurant delivery has a bit of a 115 00:06:10,800 --> 00:06:15,240 Speaker 1: different delivery structure compared to meal kit. Grocery delivery is 116 00:06:15,279 --> 00:06:19,039 Speaker 1: a far shorter window of scheduling those deliveries, so it's 117 00:06:19,040 --> 00:06:21,200 Speaker 1: it's it's a bit different from the other two. There's 118 00:06:21,240 --> 00:06:24,960 Speaker 1: also a lot of really interesting, well funded and kind 119 00:06:25,000 --> 00:06:28,600 Speaker 1: of creative companies operating in this in this space, and 120 00:06:28,640 --> 00:06:31,240 Speaker 1: in terms of market share, I assume restaurant delivery is 121 00:06:31,279 --> 00:06:34,919 Speaker 1: also the main one of the three. I mean, in 122 00:06:35,000 --> 00:06:38,279 Speaker 1: terms of market share, it's a bit difficult to say. 123 00:06:38,600 --> 00:06:41,440 Speaker 1: Grocery delivery it kind of it's difficult to put an 124 00:06:41,440 --> 00:06:44,240 Speaker 1: actual number on the total market size for that. A 125 00:06:44,279 --> 00:06:47,240 Speaker 1: lot of companies, particularly the grocery chains, will kind of 126 00:06:47,320 --> 00:06:53,400 Speaker 1: blended delivery revenue into or not reported explicitly outside of 127 00:06:53,400 --> 00:06:57,159 Speaker 1: their total revenue. But certainly restaurant delivery is a bigger 128 00:06:57,200 --> 00:06:59,919 Speaker 1: market at the moment than meal kit delivery. So, Andrew, 129 00:07:00,400 --> 00:07:02,760 Speaker 1: when I'm thinking of these delivery services, I'm thinking of 130 00:07:02,800 --> 00:07:04,880 Speaker 1: how it actually physically shows up at my door and 131 00:07:04,920 --> 00:07:07,919 Speaker 1: the person that I interact with. But in reality, there's 132 00:07:07,960 --> 00:07:11,120 Speaker 1: so much complexity here. So I think there are a 133 00:07:11,120 --> 00:07:13,120 Speaker 1: couple of different ways to think about them. So there's 134 00:07:13,160 --> 00:07:15,960 Speaker 1: the software that actually makes all of this happen in 135 00:07:15,960 --> 00:07:19,360 Speaker 1: the background, and then there's the delivery people that actually 136 00:07:20,040 --> 00:07:22,480 Speaker 1: physically make it happen. Can you explain a little bit 137 00:07:22,480 --> 00:07:26,400 Speaker 1: more regarding the different platforms that exist and how these 138 00:07:26,440 --> 00:07:29,440 Speaker 1: delivery services work? Sure? And I mean, yeah, you write 139 00:07:29,440 --> 00:07:31,680 Speaker 1: these show up in your life, on our lives as 140 00:07:31,880 --> 00:07:35,600 Speaker 1: apps on our phone, But there's two broad categories on 141 00:07:35,680 --> 00:07:39,280 Speaker 1: how these businesses sort of operate. So there's aggregated platforms 142 00:07:39,320 --> 00:07:44,360 Speaker 1: which are taking advantage of existing driver fleets and businesses 143 00:07:44,360 --> 00:07:47,760 Speaker 1: that have the ability to recruit drivers and drop food 144 00:07:47,800 --> 00:07:50,840 Speaker 1: off at consumers homes. And what the aggregators will do 145 00:07:50,920 --> 00:07:53,120 Speaker 1: is just it's a digital platform. It's a way for 146 00:07:53,240 --> 00:07:56,720 Speaker 1: consumers to easily access and order that product. But then 147 00:07:56,760 --> 00:07:59,560 Speaker 1: the onus for recruiting the driver and then getting the 148 00:07:59,640 --> 00:08:02,440 Speaker 1: food to the customer is then on the restaurant itself. 149 00:08:02,960 --> 00:08:06,280 Speaker 1: So in those sorts of situations, the aggregator will typically 150 00:08:06,400 --> 00:08:09,280 Speaker 1: charger and added fee on top of the meal price, 151 00:08:09,360 --> 00:08:13,160 Speaker 1: and it will be fairly transparent the delivery fee. Then 152 00:08:13,200 --> 00:08:16,880 Speaker 1: you've got this kind of new approach, which I say new, 153 00:08:16,920 --> 00:08:19,720 Speaker 1: but it's sort of I guess as seven or eight 154 00:08:19,760 --> 00:08:23,080 Speaker 1: years old, where the delivery platform itself is taking on 155 00:08:23,120 --> 00:08:27,680 Speaker 1: the responsibility of recruiting and finding those drivers. So the 156 00:08:27,760 --> 00:08:31,640 Speaker 1: delivery platform will receive the order from the customer, they 157 00:08:31,640 --> 00:08:35,000 Speaker 1: will send that order to the kitchen at the restaurant 158 00:08:35,040 --> 00:08:37,720 Speaker 1: and say prepare that food. They will find a driver 159 00:08:37,880 --> 00:08:40,760 Speaker 1: that suits, that suits their purposes, that can get the 160 00:08:40,800 --> 00:08:43,120 Speaker 1: food and to the consumer and a good time, and 161 00:08:43,120 --> 00:08:47,120 Speaker 1: then they're responsible for sending that driver to the restaurant 162 00:08:47,160 --> 00:08:50,720 Speaker 1: and then they can kind of divide up the revenue 163 00:08:50,800 --> 00:08:53,800 Speaker 1: received from the customer based on the conditions that they've 164 00:08:53,840 --> 00:08:56,760 Speaker 1: agreed to with the restaurant. So they're they're going a 165 00:08:56,800 --> 00:09:00,440 Speaker 1: bit beyond just being a digital front for the for 166 00:09:00,520 --> 00:09:03,480 Speaker 1: the restaurant. Yeah, the question actually has a bit to 167 00:09:03,480 --> 00:09:06,480 Speaker 1: do with not only how do restaurants make money out 168 00:09:06,480 --> 00:09:08,559 Speaker 1: of this, but how does the pricing work? So what's 169 00:09:08,600 --> 00:09:11,559 Speaker 1: the take that the delivery services take from the overall 170 00:09:11,600 --> 00:09:14,600 Speaker 1: commission and how do they make money? And then additionally, 171 00:09:14,640 --> 00:09:18,240 Speaker 1: how is there anything left over for the restaurants given 172 00:09:18,280 --> 00:09:20,120 Speaker 1: that their margins were low to begin with when they 173 00:09:20,120 --> 00:09:24,760 Speaker 1: were going directly to their customers and now there's an intermediary, right, Okay, 174 00:09:24,840 --> 00:09:27,360 Speaker 1: So I mean in a lot of cases, they will 175 00:09:27,400 --> 00:09:29,800 Speaker 1: be an added fee on top of the price that 176 00:09:29,840 --> 00:09:33,360 Speaker 1: the consumers paying for food within this h sort of 177 00:09:33,880 --> 00:09:39,400 Speaker 1: meal price and delivery price about ten to to say 178 00:09:40,160 --> 00:09:44,760 Speaker 1: of that ends up going to the food delivery platform. 179 00:09:44,880 --> 00:09:48,319 Speaker 1: So unless that delivery fee ends up being quite large, 180 00:09:48,320 --> 00:09:51,840 Speaker 1: they can be cases where the restaurant misses out. And certainly, 181 00:09:51,880 --> 00:09:54,960 Speaker 1: as a lot of restaurants have had to rely on 182 00:09:55,000 --> 00:09:57,520 Speaker 1: a lot of these delivery platforms. Over the last few 183 00:09:57,559 --> 00:10:01,280 Speaker 1: months in COVID nineteen lockdown measure, that has become an 184 00:10:01,360 --> 00:10:04,760 Speaker 1: increasing point of contention. So a lot of these food 185 00:10:04,760 --> 00:10:08,600 Speaker 1: delivery platforms are dropping. They take grade to to kind 186 00:10:08,600 --> 00:10:12,080 Speaker 1: of accommodate some of these restaurants, particularly the smaller chains, 187 00:10:12,720 --> 00:10:16,520 Speaker 1: but they're also encouraging other behaviors within the restaurant that 188 00:10:16,559 --> 00:10:20,240 Speaker 1: would make this type of transport more profitable for them. 189 00:10:20,320 --> 00:10:23,440 Speaker 1: So that's things like reducing front of house costs or 190 00:10:23,679 --> 00:10:27,360 Speaker 1: streamlining the kitchen process so that they can make delivery 191 00:10:27,480 --> 00:10:31,560 Speaker 1: orders specifically at a faster and more efficient rate, so 192 00:10:31,600 --> 00:10:34,760 Speaker 1: that they can reduce the costs that require in order 193 00:10:34,800 --> 00:10:37,920 Speaker 1: to to deliver that food. So last year, I've read 194 00:10:37,920 --> 00:10:41,719 Speaker 1: an article about companies that were starting up just to 195 00:10:42,080 --> 00:10:45,640 Speaker 1: have kitchens to serve these aggregators and operators, and you 196 00:10:45,679 --> 00:10:48,559 Speaker 1: mentioned just now the reducing front of house costs. At 197 00:10:48,559 --> 00:10:50,840 Speaker 1: the time, I thought that's kind of a strange idea, 198 00:10:50,880 --> 00:10:53,480 Speaker 1: but since COVID it sounds genius, Like are we seeing 199 00:10:53,480 --> 00:10:57,440 Speaker 1: more of these kitchen only restaurants of hearing? Oh? Yes, definitely, 200 00:10:57,480 --> 00:10:58,960 Speaker 1: and I mean it's been going on for a few 201 00:10:59,040 --> 00:11:02,040 Speaker 1: years now. Definitely, pre COVID. But the idea is to 202 00:11:02,360 --> 00:11:05,640 Speaker 1: not only make the kitchen more efficient and more suitable 203 00:11:05,640 --> 00:11:09,360 Speaker 1: for delivery purposes, um, it's also to put these kitchens 204 00:11:09,440 --> 00:11:12,760 Speaker 1: in places that are really suitable for delivery. So you 205 00:11:12,800 --> 00:11:16,160 Speaker 1: can put them in sort of semi industrial real estate 206 00:11:16,280 --> 00:11:20,520 Speaker 1: that can be purchased at quite good prices. It doesn't 207 00:11:20,520 --> 00:11:22,760 Speaker 1: need to be consumer facing, so it doesn't need to 208 00:11:22,800 --> 00:11:25,040 Speaker 1: have a glossy show front or anything like that. But 209 00:11:25,080 --> 00:11:28,720 Speaker 1: then an added advantage for these sorts of cloud kitchens 210 00:11:28,800 --> 00:11:32,000 Speaker 1: is if you've got a popular restaurant brand, then you 211 00:11:32,040 --> 00:11:34,680 Speaker 1: can extend it to a sort of regions where it 212 00:11:34,679 --> 00:11:37,840 Speaker 1: wouldn't be possible to provide food from your main restaurant 213 00:11:38,080 --> 00:11:41,480 Speaker 1: by setting up a cloud kitchen and then offering that 214 00:11:41,480 --> 00:11:44,520 Speaker 1: that food online through the app. So it's a way 215 00:11:44,559 --> 00:11:49,760 Speaker 1: for these companies to or restaurants to to offer their 216 00:11:49,800 --> 00:11:53,400 Speaker 1: service at a reduced cost in regions where they know 217 00:11:53,480 --> 00:11:56,560 Speaker 1: they have a customer base but that they can't physically 218 00:11:56,559 --> 00:11:58,920 Speaker 1: get the food there in the in the appropriate timeframe. 219 00:11:59,200 --> 00:12:01,640 Speaker 1: And do you know of any businesses that are only 220 00:12:01,920 --> 00:12:04,800 Speaker 1: cloud kitchens and that is their business model and there's 221 00:12:04,800 --> 00:12:08,160 Speaker 1: no front of house that operates in this delivery space 222 00:12:08,240 --> 00:12:11,440 Speaker 1: with these companies. Yeah, certainly so. I mean, in that case, 223 00:12:11,480 --> 00:12:14,160 Speaker 1: we'd call it a virtual restaurant, so a business that 224 00:12:14,360 --> 00:12:17,839 Speaker 1: really doesn't exist in in the physical world. You can't 225 00:12:17,880 --> 00:12:20,160 Speaker 1: go there and get food and order food. I've read 226 00:12:20,160 --> 00:12:22,080 Speaker 1: about this last year. It's a it's a great way 227 00:12:22,120 --> 00:12:25,640 Speaker 1: for restaurants to test out cuisine ideas. You know, will 228 00:12:25,640 --> 00:12:28,559 Speaker 1: a chicken place work in this location or will a 229 00:12:28,559 --> 00:12:30,960 Speaker 1: noodle place work in that location? Right, It's like a 230 00:12:31,000 --> 00:12:35,040 Speaker 1: comedian testing out new material, exactly, totally. Yeah. So it's cheap, 231 00:12:35,080 --> 00:12:37,560 Speaker 1: it's easy, and they can test out the audience. And 232 00:12:37,600 --> 00:12:39,280 Speaker 1: I mean that's a great point. Mark. And when you 233 00:12:39,320 --> 00:12:42,000 Speaker 1: look at the data and the information that a lot 234 00:12:42,080 --> 00:12:45,960 Speaker 1: of the delivery platforms have about not only what consumers 235 00:12:45,960 --> 00:12:48,720 Speaker 1: are ordering in different markets, but things like what are 236 00:12:48,720 --> 00:12:51,800 Speaker 1: they searching for when they are looking for their next meal, 237 00:12:52,120 --> 00:12:54,400 Speaker 1: then they've got a really good idea of what sort 238 00:12:54,440 --> 00:12:57,679 Speaker 1: of restaurants to open up. So in some cases businesses 239 00:12:58,000 --> 00:13:01,280 Speaker 1: food delivery platforms have gone and opened up restaurant brands 240 00:13:01,360 --> 00:13:05,080 Speaker 1: that are a direct result of consumers searching for a 241 00:13:05,160 --> 00:13:09,200 Speaker 1: certain cuisine, and then they can make those recommendations to 242 00:13:09,200 --> 00:13:11,400 Speaker 1: to make customers about ten years ago. I used to 243 00:13:11,400 --> 00:13:14,280 Speaker 1: have a food truck. We sold courmet hot dogs. They 244 00:13:14,320 --> 00:13:16,439 Speaker 1: were amazing. I would have loved to have this instead. 245 00:13:17,559 --> 00:13:20,040 Speaker 1: The food truck business was hard. I think this could 246 00:13:20,040 --> 00:13:22,040 Speaker 1: have been easier. Well, you're amount of day to marks 247 00:13:22,040 --> 00:13:24,760 Speaker 1: that I'm not surprised you know that about Humord. Seriously, 248 00:13:25,200 --> 00:13:28,880 Speaker 1: you have a personal connection to every episode. Andrew, I'd 249 00:13:28,920 --> 00:13:32,280 Speaker 1: like to focus a little bit on how these items, 250 00:13:32,280 --> 00:13:34,320 Speaker 1: How my burrito is physically going to make it to 251 00:13:34,360 --> 00:13:37,480 Speaker 1: me today. So let's talk about not only the people 252 00:13:37,720 --> 00:13:41,360 Speaker 1: who are on bikes, mopeds, cars bringing it to us, 253 00:13:41,400 --> 00:13:44,880 Speaker 1: but also potential displacement. So I think there's been some 254 00:13:44,920 --> 00:13:47,840 Speaker 1: talk about some technological innovation, either in the form of 255 00:13:47,880 --> 00:13:51,280 Speaker 1: bots or drones. How likely are those and kind of 256 00:13:51,320 --> 00:13:54,280 Speaker 1: what spaces does that look feasible? Yeah, so there's a 257 00:13:54,320 --> 00:13:56,920 Speaker 1: lot of experiments going on. A lot of delivery bots 258 00:13:56,920 --> 00:13:59,240 Speaker 1: are being tasted. And this can take the form of 259 00:13:59,640 --> 00:14:03,640 Speaker 1: uh small, less than hip high delivery butts that deliver 260 00:14:03,720 --> 00:14:07,119 Speaker 1: one or maybe two meals per outing away from the restaurants. 261 00:14:07,200 --> 00:14:10,280 Speaker 1: But what you're really looking at here is a sophisticated 262 00:14:10,559 --> 00:14:15,480 Speaker 1: remote controlled car, and by that I mean it won't 263 00:14:15,520 --> 00:14:18,320 Speaker 1: necessarily crash into anything in front of it, but you 264 00:14:18,360 --> 00:14:21,520 Speaker 1: still need a human operator to kind of point and click, 265 00:14:21,560 --> 00:14:24,360 Speaker 1: and they're using the cameras and the sensors in this 266 00:14:24,440 --> 00:14:27,200 Speaker 1: delivery but to guide this vehicle around. It's a good 267 00:14:27,320 --> 00:14:30,520 Speaker 1: area to to kind of test out this technology. Then 268 00:14:30,560 --> 00:14:32,880 Speaker 1: you kind of got the biggest sort of delivery butts 269 00:14:32,920 --> 00:14:35,680 Speaker 1: that are mirroring the size of a car, maybe slightly 270 00:14:35,680 --> 00:14:37,560 Speaker 1: smaller than the car, and these will be delivering a 271 00:14:37,600 --> 00:14:40,120 Speaker 1: bunch of different food orders since the size of the 272 00:14:40,200 --> 00:14:43,320 Speaker 1: vehicle makes it a bit challenging to do just kind 273 00:14:43,360 --> 00:14:45,360 Speaker 1: of one order at a time, or it doesn't make 274 00:14:45,400 --> 00:14:48,360 Speaker 1: the economics great, These types of vehicles will typically be 275 00:14:48,480 --> 00:14:53,560 Speaker 1: more suitable for grocery delivery or packaged food delivery rather 276 00:14:53,600 --> 00:14:57,400 Speaker 1: than hot food or freshly prepared food from restaurants. Now, 277 00:14:57,440 --> 00:15:00,960 Speaker 1: at the moment, the small delivery arts are by far 278 00:15:01,000 --> 00:15:05,040 Speaker 1: the most prevalent, But what we've seen is particularly in 279 00:15:05,160 --> 00:15:08,360 Speaker 1: lights of COVID nineteen and the lockdowns, regulators have been 280 00:15:08,400 --> 00:15:11,680 Speaker 1: far more willing to allow the autonomous vehicle testing for 281 00:15:11,720 --> 00:15:14,120 Speaker 1: these kind of driver lest delivery pots, particularly in what 282 00:15:14,160 --> 00:15:16,840 Speaker 1: we'd call that medium segment. So you're seeing a lot 283 00:15:16,960 --> 00:15:19,000 Speaker 1: more of those on the road, so you'll see more 284 00:15:19,000 --> 00:15:22,080 Speaker 1: of these things, but it's still quite early days for them. 285 00:15:22,120 --> 00:15:23,920 Speaker 1: So I want to stay on the topic of the 286 00:15:23,960 --> 00:15:27,200 Speaker 1: technology and of things, but maybe slightly less cute. Um, 287 00:15:27,400 --> 00:15:31,160 Speaker 1: let's talk about payment platforms and other synergies that are 288 00:15:31,240 --> 00:15:34,680 Speaker 1: kind of embedded within these business models. What other things 289 00:15:34,840 --> 00:15:38,960 Speaker 1: are the delivery services actually providing to their end customers 290 00:15:39,000 --> 00:15:42,000 Speaker 1: that they've expanded out into. Yeah, so the types of 291 00:15:42,040 --> 00:15:44,440 Speaker 1: businesses that have really looked at food delivery and said 292 00:15:44,480 --> 00:15:46,880 Speaker 1: this is something we want to be involved in. That's 293 00:15:47,240 --> 00:15:52,000 Speaker 1: either been the pure play platforms so say Door, Dash, Takeaway, 294 00:15:52,400 --> 00:15:57,560 Speaker 1: just Eat takeaway and delivery Hero and say delivery as well. 295 00:15:57,600 --> 00:16:00,320 Speaker 1: But then there's these businesses that are come from a 296 00:16:00,360 --> 00:16:04,120 Speaker 1: different area. So somebody like Uber, which is a right 297 00:16:04,160 --> 00:16:07,240 Speaker 1: hailing platform as you no doubt know, that has looked 298 00:16:07,280 --> 00:16:09,720 Speaker 1: at the way it operates and some of the business 299 00:16:09,760 --> 00:16:13,240 Speaker 1: acumen that it has and has determined that food delivery 300 00:16:13,280 --> 00:16:17,680 Speaker 1: is useful at branch for their drivers. There are some 301 00:16:17,720 --> 00:16:21,840 Speaker 1: synergies in terms of dispatching and having a good logistics 302 00:16:21,880 --> 00:16:25,040 Speaker 1: background and being able to manage that part of the 303 00:16:25,080 --> 00:16:28,480 Speaker 1: interaction with customers. There are some synergies in terms of 304 00:16:28,520 --> 00:16:33,080 Speaker 1: providing one platform that consumers are familiar with and are 305 00:16:33,120 --> 00:16:36,880 Speaker 1: happy to use. But where there are definite challenges is 306 00:16:36,920 --> 00:16:40,680 Speaker 1: around the vehicles that are used in these types of services. 307 00:16:41,320 --> 00:16:45,400 Speaker 1: It's not typical throughout Europe for food delivery Europe and Asia, 308 00:16:45,440 --> 00:16:47,360 Speaker 1: I should say as well, for food to be delivered 309 00:16:47,560 --> 00:16:50,880 Speaker 1: in a four wheel of vehicle, it's typically a two wheeler. 310 00:16:51,080 --> 00:16:54,160 Speaker 1: That's slightly different in the US where four wheelers are 311 00:16:54,200 --> 00:16:57,280 Speaker 1: more commonly used for for food delivery. But that's where 312 00:16:57,280 --> 00:17:00,200 Speaker 1: the kind of the synergy breaks down. It's it's not 313 00:17:00,440 --> 00:17:03,200 Speaker 1: on a driver by driver pass. It might be possible 314 00:17:03,240 --> 00:17:05,840 Speaker 1: for a right hailing driver to do some deliveries at 315 00:17:05,920 --> 00:17:08,639 Speaker 1: lunch and then do some food deliveries in the evening, 316 00:17:08,720 --> 00:17:11,000 Speaker 1: but typically it's it's not kind of what happens in 317 00:17:11,280 --> 00:17:14,680 Speaker 1: the aggregate. And then the other types of businesses that 318 00:17:14,720 --> 00:17:16,800 Speaker 1: are looking at food delivery and wanting to get involved 319 00:17:16,800 --> 00:17:19,040 Speaker 1: are are the e commerce companies. Now they have a 320 00:17:19,040 --> 00:17:21,879 Speaker 1: lot of supply chain expertise, they know how to deliver 321 00:17:21,920 --> 00:17:26,160 Speaker 1: packages to consumers, but the delivery time frame is quite 322 00:17:26,200 --> 00:17:29,240 Speaker 1: drastically different from what they've experienced in the past, So 323 00:17:29,640 --> 00:17:33,000 Speaker 1: you don't schedule a delivery a day or two in advance. 324 00:17:33,320 --> 00:17:36,800 Speaker 1: Consumers want that food on their doorstep within thirty minutes. Now, 325 00:17:36,840 --> 00:17:39,960 Speaker 1: a lot of the e commerce companies have been improving 326 00:17:39,960 --> 00:17:42,160 Speaker 1: their service and their delivery time frames, and you can 327 00:17:42,160 --> 00:17:45,119 Speaker 1: get same day delivery from Amazon and things like that, 328 00:17:45,160 --> 00:17:48,760 Speaker 1: but it's still not quite the the time frame that 329 00:17:48,880 --> 00:17:53,160 Speaker 1: you would expect for prepared food delivery or restaurant meal delivery. 330 00:17:53,280 --> 00:17:54,840 Speaker 1: But it's kind of hitting in that direction and you 331 00:17:54,880 --> 00:17:56,680 Speaker 1: can kind of see how this would be a natural 332 00:17:56,720 --> 00:17:59,680 Speaker 1: extension of their business, but they would need added add 333 00:17:59,680 --> 00:18:03,680 Speaker 1: it cap abilities beyond beyond what they have already. Trying 334 00:18:03,680 --> 00:18:07,000 Speaker 1: to bring it back to the overall goal of measuring 335 00:18:07,359 --> 00:18:10,600 Speaker 1: the impact on total miles traveled globally. You're looking at 336 00:18:10,760 --> 00:18:13,160 Speaker 1: viability or probability of these companies to see which ones 337 00:18:13,160 --> 00:18:15,000 Speaker 1: are going to stick around for a while. How do 338 00:18:15,040 --> 00:18:17,120 Speaker 1: you do that? How did you look at whether these 339 00:18:17,119 --> 00:18:20,360 Speaker 1: companies are viable going forward? So I mean, for us, 340 00:18:20,400 --> 00:18:23,320 Speaker 1: if they're making money, they'll probably be sticking around, and 341 00:18:23,320 --> 00:18:26,040 Speaker 1: by making money, if they're actually going to generate a profit. 342 00:18:26,520 --> 00:18:29,000 Speaker 1: To date, a lot of the food delivery platforms have 343 00:18:29,520 --> 00:18:31,640 Speaker 1: kind of been hit or miss in this regard. They 344 00:18:31,680 --> 00:18:34,280 Speaker 1: have been some reports over the quarters, but on the 345 00:18:34,280 --> 00:18:37,480 Speaker 1: whole it's been, yeah, quite inconsistent, and a lot of 346 00:18:37,520 --> 00:18:39,960 Speaker 1: companies have been losing money. So we looked at the 347 00:18:40,040 --> 00:18:43,080 Speaker 1: various ways they could go about improving that bottom line 348 00:18:43,320 --> 00:18:46,120 Speaker 1: and what we've developed a bit of a score card 349 00:18:46,240 --> 00:18:49,440 Speaker 1: or for the different companies on on how they've addressed 350 00:18:50,000 --> 00:18:55,399 Speaker 1: areas like exclusive restaurant agreements so uh deals where they 351 00:18:55,400 --> 00:18:57,879 Speaker 1: can make sure that they have a good restaurant supply 352 00:18:57,960 --> 00:19:01,200 Speaker 1: with a strong brand that they can deliver to customers. 353 00:19:01,240 --> 00:19:04,359 Speaker 1: How they've done things like trip optimization, making sure that 354 00:19:04,400 --> 00:19:08,160 Speaker 1: their delivery drivers aren't waiting around and wasting time and money. 355 00:19:08,560 --> 00:19:12,720 Speaker 1: And then things like buying out local rivals and geographic expansion. 356 00:19:12,760 --> 00:19:18,000 Speaker 1: How how aggressively they've pursued those those areas. So looking 357 00:19:18,040 --> 00:19:21,520 Speaker 1: at all these different factors that these companies can push together, 358 00:19:21,840 --> 00:19:24,879 Speaker 1: there's a lot of different ways that they can drive 359 00:19:24,920 --> 00:19:27,360 Speaker 1: towards profitability. They've got a lot of options out there. 360 00:19:28,040 --> 00:19:30,480 Speaker 1: Is there a key factor? Is there one telltale sign 361 00:19:30,560 --> 00:19:34,600 Speaker 1: you've seen is an indicator of profitability? I think without 362 00:19:34,640 --> 00:19:38,719 Speaker 1: doubt it's the competitive aspect of this. Companies spend a 363 00:19:38,760 --> 00:19:42,360 Speaker 1: lot of money just promoting their product to consumers and 364 00:19:42,400 --> 00:19:45,240 Speaker 1: providing subsidies to drivers and restaurants so that they can 365 00:19:45,280 --> 00:19:49,800 Speaker 1: have them on their platform. As this market has consolidated 366 00:19:50,119 --> 00:19:54,600 Speaker 1: and we've seen fewer options for consumers as a result, 367 00:19:54,720 --> 00:19:57,520 Speaker 1: this means that companies can start dropping some of those 368 00:19:57,560 --> 00:20:00,119 Speaker 1: subsidies that they that they're paying to to operate at 369 00:20:00,119 --> 00:20:03,119 Speaker 1: these businesses, and that's going to be the biggest impact 370 00:20:03,160 --> 00:20:05,800 Speaker 1: on the bottom line. Well, guys, I'm starting to get hungry, 371 00:20:05,840 --> 00:20:08,320 Speaker 1: so I think I need to go order myself some lunch. 372 00:20:08,600 --> 00:20:11,360 Speaker 1: Not joking. It was great talking to you today, Andrew, 373 00:20:11,400 --> 00:20:13,880 Speaker 1: Thank you for joining us. Thank you, Dana, Thank you Mark. 374 00:20:19,160 --> 00:20:21,720 Speaker 1: Today's episode of Switched On was edited by Rex Warner 375 00:20:21,840 --> 00:20:24,639 Speaker 1: of Great Stake Media. Bloomberguin e F is a service 376 00:20:24,680 --> 00:20:27,720 Speaker 1: provided by Bloomberg Finance LP and its affilians. This recording 377 00:20:27,720 --> 00:20:30,960 Speaker 1: does not constitute, nor should it be construed, as investment advice, 378 00:20:31,080 --> 00:20:34,600 Speaker 1: investment recommendations, or a recommendation as to an investment or 379 00:20:34,640 --> 00:20:37,200 Speaker 1: other strategy. BLOOMBERGUIN e F should not be considered as 380 00:20:37,240 --> 00:20:40,440 Speaker 1: information sufficient upon which to base an investment decision. Neither 381 00:20:40,520 --> 00:20:43,880 Speaker 1: Bloomberg Finance LP nor any of its affiliates makes any 382 00:20:43,920 --> 00:20:47,000 Speaker 1: representation or warranty as to the accuracy or completeness of 383 00:20:47,040 --> 00:20:50,080 Speaker 1: the information contained in this recording, and any liability as 384 00:20:50,080 --> 00:20:52,200 Speaker 1: a result of this recording is expressly discribed