1 00:00:02,640 --> 00:00:05,320 Speaker 1: Welcome to the Bloomberg Penel podcast on Paul Swing You. 2 00:00:05,360 --> 00:00:07,680 Speaker 1: Along with my co host Lisa Brahma Waits, each day 3 00:00:07,720 --> 00:00:10,240 Speaker 1: we bring you the most noteworthy and useful interviews for 4 00:00:10,280 --> 00:00:12,520 Speaker 1: you and your money, whether at the grocery store or 5 00:00:12,560 --> 00:00:15,480 Speaker 1: the trading floor. Find a Bloomberg Penl podcast on Apple 6 00:00:15,520 --> 00:00:17,959 Speaker 1: podcast or wherever you listen to podcasts, as well as 7 00:00:17,960 --> 00:00:21,600 Speaker 1: at Bloomberg dot com. We're broadcasting live from with ham 8 00:00:21,680 --> 00:00:25,120 Speaker 1: seventh Annual Global Summit at Events Space Second in New 9 00:00:25,200 --> 00:00:28,000 Speaker 1: York City. This year's program features business leaders that are 10 00:00:28,000 --> 00:00:31,680 Speaker 1: exploring past lessons, current trends in the future outlook for 11 00:00:31,800 --> 00:00:35,640 Speaker 1: global business. Joinings right now are Jason Maria Rothenham, senior 12 00:00:35,680 --> 00:00:39,600 Speaker 1: consultant at consulting firm h LB von Dal based in 13 00:00:39,640 --> 00:00:41,680 Speaker 1: the Netherlands, but joining us on site here at the 14 00:00:41,680 --> 00:00:44,839 Speaker 1: Withhem Global Summit. Jason, thanks so much for joining us. 15 00:00:44,840 --> 00:00:47,120 Speaker 1: I know when your panel coming up you're gonna be 16 00:00:47,159 --> 00:00:52,159 Speaker 1: covering the manufacturing industry and how technologies impacting business. Give 17 00:00:52,240 --> 00:00:54,560 Speaker 1: us your sense as you talk to your clients around 18 00:00:54,560 --> 00:00:56,920 Speaker 1: the world, you know kind of what are the big 19 00:00:57,000 --> 00:00:59,720 Speaker 1: challenges that they are facing in terms of adapting to 20 00:01:00,000 --> 00:01:03,200 Speaker 1: interest in technology great, Thanks Paul. I'm so happy to 21 00:01:03,200 --> 00:01:06,039 Speaker 1: be here in New York City. It's a beautiful day outside, 22 00:01:06,080 --> 00:01:09,320 Speaker 1: and I'm excited, excited to talk about technology and from Amsterdam. 23 00:01:09,480 --> 00:01:12,000 Speaker 1: And Uh, we like to innovate, we like to change, 24 00:01:12,080 --> 00:01:14,240 Speaker 1: and so do our clients. I keep saying this in 25 00:01:14,520 --> 00:01:17,320 Speaker 1: presentations all around the world that unless you're Coca Cola 26 00:01:17,480 --> 00:01:22,160 Speaker 1: or you're an old fashioned watchmaker, UH, technology is going 27 00:01:22,200 --> 00:01:24,520 Speaker 1: to impact you. It's gonna change the way you do business, 28 00:01:24,600 --> 00:01:27,080 Speaker 1: change the way you think. And we see that. UM. 29 00:01:27,120 --> 00:01:31,440 Speaker 1: I'll just pick up one simple topic like logistics. Logistics 30 00:01:31,520 --> 00:01:35,160 Speaker 1: is totally being impacted by technology, with AI, with robotics, 31 00:01:35,240 --> 00:01:38,160 Speaker 1: with the big data. UM, it's all about how do 32 00:01:38,200 --> 00:01:40,400 Speaker 1: I get my consumer how do I get my products 33 00:01:40,400 --> 00:01:43,280 Speaker 1: to my own consumers as quick as possible and as 34 00:01:43,360 --> 00:01:46,959 Speaker 1: cheap as possible. Um. We see robotics taking over in 35 00:01:47,160 --> 00:01:52,600 Speaker 1: logistics centrums, tread printing. UM. What I would advise people, 36 00:01:52,600 --> 00:01:54,480 Speaker 1: if you're listening and if you're a business leader, just 37 00:01:54,760 --> 00:01:57,680 Speaker 1: just look at you all of your processes and think 38 00:01:57,960 --> 00:02:00,480 Speaker 1: how can technology impact be and what kind of investments 39 00:02:00,520 --> 00:02:02,400 Speaker 1: I need to make in there? Jason, do you feel 40 00:02:02,480 --> 00:02:05,960 Speaker 1: like business leaders in general are aware of how radical 41 00:02:06,400 --> 00:02:10,000 Speaker 1: the change is and how quickly they have to adapt. No, no, 42 00:02:10,160 --> 00:02:12,600 Speaker 1: And I'll be very direct with that. I think only 43 00:02:12,720 --> 00:02:16,720 Speaker 1: ten percent of the business community understands the changes that 44 00:02:16,760 --> 00:02:20,160 Speaker 1: are coming into place UM and those ten percents are 45 00:02:20,240 --> 00:02:22,960 Speaker 1: usually the big boys that are playing the Googles of 46 00:02:23,000 --> 00:02:26,600 Speaker 1: this world, the facebooks. But the mid level, the small 47 00:02:26,600 --> 00:02:30,800 Speaker 1: businesses is there is there a particular industry that's that's 48 00:02:30,919 --> 00:02:35,239 Speaker 1: particularly behind UM. What we would see is the retail 49 00:02:35,280 --> 00:02:38,639 Speaker 1: market is still a bit bigger problem. I've seen back 50 00:02:38,639 --> 00:02:40,320 Speaker 1: home where I live. I live in a small town 51 00:02:40,320 --> 00:02:45,560 Speaker 1: outside of Amsterdam. It's called hof Top Retail. Bricky motor 52 00:02:45,639 --> 00:02:48,359 Speaker 1: stores are closing down by the day, and yet you 53 00:02:48,440 --> 00:02:50,600 Speaker 1: still see business owners saying, oh yeah, I've got a 54 00:02:50,639 --> 00:02:52,320 Speaker 1: bit of cash lying around, so let's just go and 55 00:02:52,320 --> 00:02:54,760 Speaker 1: open up another shop. Again. They make the same mistake 56 00:02:54,760 --> 00:02:56,840 Speaker 1: again and again and again. And they got to ask 57 00:02:56,840 --> 00:02:58,680 Speaker 1: yoursel why do they do that? Let you do that? 58 00:02:58,760 --> 00:03:01,320 Speaker 1: Because because they have fit the past, and they're making 59 00:03:01,320 --> 00:03:03,840 Speaker 1: the decisions based on the past, not of the future. 60 00:03:04,200 --> 00:03:06,320 Speaker 1: And they thought, oh, my well, my dad did it, 61 00:03:06,360 --> 00:03:08,639 Speaker 1: my my uncle did it, so I should do it too. 62 00:03:08,880 --> 00:03:12,120 Speaker 1: They're not learning from the future. So for some of these. 63 00:03:12,320 --> 00:03:15,680 Speaker 1: You know, I get the big companies, the technology oriented companies, 64 00:03:15,680 --> 00:03:19,320 Speaker 1: obviously they have a better familiarity with with change and evolution. 65 00:03:19,600 --> 00:03:21,360 Speaker 1: But when you go to see some of your smaller 66 00:03:21,400 --> 00:03:24,280 Speaker 1: and mid size clients, how do you get them to 67 00:03:24,360 --> 00:03:27,760 Speaker 1: really start thinking about their business models and how they 68 00:03:27,760 --> 00:03:29,799 Speaker 1: may need to adapt. Right, So what we do with 69 00:03:29,960 --> 00:03:32,280 Speaker 1: at FANDAL is we try to expose our clients to 70 00:03:32,360 --> 00:03:34,480 Speaker 1: our logic clients, try to get them to think a 71 00:03:34,480 --> 00:03:38,280 Speaker 1: bit differently. UM mandate almost that you have to read 72 00:03:38,280 --> 00:03:40,800 Speaker 1: a book a day. I'll pick up once a week 73 00:03:40,840 --> 00:03:44,440 Speaker 1: at least, spend some sessions in the morning, UM reading 74 00:03:44,760 --> 00:03:47,800 Speaker 1: How We've got a little program where we teach our 75 00:03:48,400 --> 00:03:51,880 Speaker 1: staff to actually learn the code to be more relatable 76 00:03:51,920 --> 00:03:55,440 Speaker 1: to UM clients. UM getting them used to familiar with 77 00:03:56,400 --> 00:03:59,760 Speaker 1: UH Internet websites will be surprised, we've we've still got 78 00:03:59,760 --> 00:04:02,080 Speaker 1: client so don't even have a website. And that and 79 00:04:02,120 --> 00:04:04,400 Speaker 1: that is and that is a big problem. That's a problem. Well, 80 00:04:04,440 --> 00:04:06,520 Speaker 1: you know, when you say technology, it's a pretty broad 81 00:04:06,720 --> 00:04:10,560 Speaker 1: sweep of things. Artificial intelligence logistics, while they can be 82 00:04:10,640 --> 00:04:14,160 Speaker 1: paired together, are distinct and can be applied in different ways. 83 00:04:14,560 --> 00:04:16,640 Speaker 1: So how do you go about determining. I mean for 84 00:04:16,680 --> 00:04:19,679 Speaker 1: the retailers, for example, what should they be doing, because 85 00:04:19,720 --> 00:04:22,880 Speaker 1: it's not just simply abandoned brick and mortar, How should 86 00:04:22,880 --> 00:04:28,040 Speaker 1: they be thinking in this technological era. That's an excellent question. Um. 87 00:04:28,200 --> 00:04:30,840 Speaker 1: What they should be looking at at is how do 88 00:04:30,880 --> 00:04:35,000 Speaker 1: I bring in AI, bring in big data into understanding 89 00:04:35,000 --> 00:04:37,120 Speaker 1: who my clients are. So I'll tell you a little 90 00:04:37,160 --> 00:04:39,159 Speaker 1: story of a client of mind. What they do is 91 00:04:39,279 --> 00:04:43,920 Speaker 1: they inside small little chips in the in the hangars, 92 00:04:44,040 --> 00:04:46,760 Speaker 1: and they know how many times a piece of clothing 93 00:04:46,839 --> 00:04:48,680 Speaker 1: is taken off a hangar, how many times to put back? 94 00:04:48,720 --> 00:04:51,320 Speaker 1: And then that gives you a lot of information if 95 00:04:51,960 --> 00:04:54,839 Speaker 1: to give some perspective, if I have a customer that 96 00:04:54,880 --> 00:04:57,520 Speaker 1: comes in or several customers that come in and pick 97 00:04:57,600 --> 00:05:00,200 Speaker 1: up the same uh piece of clothing and if put 98 00:05:00,200 --> 00:05:02,120 Speaker 1: it back, that tells you a lot about Maybe I'm 99 00:05:02,120 --> 00:05:04,960 Speaker 1: pricing it wrong, maybe it's the wrong color, maybe it's 100 00:05:04,960 --> 00:05:07,560 Speaker 1: not but something is good about it. But I don't 101 00:05:07,560 --> 00:05:09,760 Speaker 1: know why my clients are not buying it. So you 102 00:05:09,760 --> 00:05:12,800 Speaker 1: can flow through from where it was picked up right 103 00:05:12,880 --> 00:05:16,560 Speaker 1: to the checkout counter and see whether there's a good 104 00:05:16,560 --> 00:05:19,240 Speaker 1: flow through their Apart from that, you can set up 105 00:05:19,279 --> 00:05:21,279 Speaker 1: senses all the way around your store. You can tell 106 00:05:21,600 --> 00:05:24,560 Speaker 1: which part of my stars are underutilized. There's a lot 107 00:05:24,560 --> 00:05:27,000 Speaker 1: of stuff you can do with AI. That sounds like 108 00:05:27,720 --> 00:05:30,200 Speaker 1: it costs some money. How about somebody smaller and mid 109 00:05:30,240 --> 00:05:32,719 Speaker 1: sized companies do they have the capital to make these 110 00:05:32,720 --> 00:05:34,880 Speaker 1: investments in technology? Right? So we've got two parts of 111 00:05:34,880 --> 00:05:38,200 Speaker 1: the market. One is a very conservative part. In speak 112 00:05:38,240 --> 00:05:41,040 Speaker 1: for Europe, a lot of our clients are sitting on money. 113 00:05:41,440 --> 00:05:42,960 Speaker 1: They're sitting on money, they don't want to invest, they 114 00:05:42,960 --> 00:05:45,919 Speaker 1: don't know what's coming up ahead. I heard uh recently 115 00:05:45,960 --> 00:05:48,040 Speaker 1: that in the US that that there is no such 116 00:05:48,080 --> 00:05:50,359 Speaker 1: thing as a recession. That I heard that, But in 117 00:05:50,400 --> 00:05:52,640 Speaker 1: Europe we still very conservative over that we don't know 118 00:05:52,680 --> 00:05:55,880 Speaker 1: what's coming around, so we allow U sit and to 119 00:05:56,000 --> 00:05:59,440 Speaker 1: answer your question, Uh, that costs a lot of money. Well, 120 00:05:59,520 --> 00:06:01,560 Speaker 1: if you take get in small steps, baby steps, it 121 00:06:01,600 --> 00:06:05,039 Speaker 1: shouldn't cost you a lot. Jason Maria Rathenom, thank you 122 00:06:05,080 --> 00:06:07,680 Speaker 1: so much for being with us. UH, senior consultant at 123 00:06:07,839 --> 00:06:11,080 Speaker 1: h l V von Dala, which is based in Amsterdam, 124 00:06:11,160 --> 00:06:14,120 Speaker 1: but is here with us on site in New York 125 00:06:14,160 --> 00:06:16,880 Speaker 1: City at with him seventh Annual Global Summit. Thank you 126 00:06:16,920 --> 00:06:19,480 Speaker 1: so much, so interesting. I love the idea of these sensors. 127 00:06:19,800 --> 00:06:22,120 Speaker 1: I mean, I love them, and I also wonder what 128 00:06:22,200 --> 00:06:23,919 Speaker 1: else you can do with all of that data, you know, 129 00:06:23,960 --> 00:06:26,240 Speaker 1: I mean that's the other issue. But at a certain point, 130 00:06:26,320 --> 00:06:28,680 Speaker 1: people have to be aware that we live in a 131 00:06:28,720 --> 00:06:32,160 Speaker 1: technological era and people are looking to use the facilities 132 00:06:32,160 --> 00:06:49,440 Speaker 1: they have to the best advantage possible. We are broadcasting 133 00:06:49,520 --> 00:06:52,400 Speaker 1: live from with him seventh Annual Global Summit in New 134 00:06:52,520 --> 00:06:55,760 Speaker 1: York City. A big topic of discussion is logistics and 135 00:06:55,800 --> 00:06:59,800 Speaker 1: how technology is transforming, UH, the way that goods move 136 00:07:00,040 --> 00:07:03,320 Speaker 1: around the world. Joining us now Michael Kaminski, chief operating 137 00:07:03,360 --> 00:07:07,200 Speaker 1: officer at h M t X Industries, which is a 138 00:07:07,279 --> 00:07:10,040 Speaker 1: global l v T manufacturer. I had to look up 139 00:07:10,040 --> 00:07:12,120 Speaker 1: what l v T was, ask Michael what that is. 140 00:07:12,200 --> 00:07:14,840 Speaker 1: It's luxury vinyl tile because I actually googled it. But 141 00:07:15,600 --> 00:07:18,240 Speaker 1: luxury vinyl tile. Looking you can look at the different 142 00:07:18,280 --> 00:07:23,080 Speaker 1: layers here. So, Michael, from a moving things around perspective, 143 00:07:23,160 --> 00:07:26,560 Speaker 1: how crucial is that to what you do every day? Well, 144 00:07:26,560 --> 00:07:29,360 Speaker 1: it's the essence of what I do every day. Where 145 00:07:29,400 --> 00:07:32,800 Speaker 1: we sell over seven million dollars of product l v 146 00:07:32,920 --> 00:07:37,400 Speaker 1: T UH, most of its manufactured. It is manufactured in 147 00:07:37,520 --> 00:07:40,000 Speaker 1: China and we sell it throughout the world, although about 148 00:07:40,040 --> 00:07:43,240 Speaker 1: eighty plus percent is sold in the United States. So 149 00:07:43,360 --> 00:07:47,920 Speaker 1: getting those goods from China into the United States and 150 00:07:47,960 --> 00:07:51,440 Speaker 1: then out into the distribution centers, then into the local community, 151 00:07:51,440 --> 00:07:57,120 Speaker 1: and then ultimately to customers homes is all about logistics. So, uh, 152 00:07:57,320 --> 00:07:59,320 Speaker 1: we've been talking a little bit about this China trade 153 00:07:59,360 --> 00:08:01,800 Speaker 1: thing here in tariffs and all that kind of thing, 154 00:08:01,800 --> 00:08:04,080 Speaker 1: and it's been the talk of the markets really for 155 00:08:04,120 --> 00:08:08,840 Speaker 1: the last six months or so. How has tariffs impacted 156 00:08:09,160 --> 00:08:13,800 Speaker 1: your business? Well, it's a significant issue. Uh. It takes 157 00:08:13,880 --> 00:08:17,240 Speaker 1: up a huge amount of my time and senior executive 158 00:08:18,000 --> 00:08:22,280 Speaker 1: of the company time. The tariffs on our products ten 159 00:08:22,360 --> 00:08:27,160 Speaker 1: percent tariffs started on September two, eighteen. Uh, there were 160 00:08:27,200 --> 00:08:30,720 Speaker 1: threats to go up to that kept on happening and 161 00:08:30,760 --> 00:08:34,600 Speaker 1: actually in June did rise the t So that's an 162 00:08:35,040 --> 00:08:40,160 Speaker 1: enormous amount of money placed on our goods. Um it's 163 00:08:40,280 --> 00:08:42,319 Speaker 1: it's the topic who bears the cost of that. You 164 00:08:42,360 --> 00:08:45,280 Speaker 1: pass that along to your customers or do you as 165 00:08:45,320 --> 00:08:47,839 Speaker 1: a company eat it, or is a little bit of both. Well, 166 00:08:47,880 --> 00:08:50,400 Speaker 1: there's a certain gentleman who thinks the Chinese are paying 167 00:08:50,400 --> 00:08:54,720 Speaker 1: for it. Um, he's wrong. Uh. The costs are paid 168 00:08:54,760 --> 00:08:57,360 Speaker 1: by a variety of different people in the global supply chain. 169 00:08:58,080 --> 00:09:04,440 Speaker 1: First and foremost, we've negotiated prices with our factories. We 170 00:09:04,520 --> 00:09:08,280 Speaker 1: have eaten a percentage of the the higher costs, We've 171 00:09:08,320 --> 00:09:12,560 Speaker 1: passed on a percentage of those costs to our customers, 172 00:09:12,640 --> 00:09:15,400 Speaker 1: and then our customers have passed on a percentage of 173 00:09:15,440 --> 00:09:18,679 Speaker 1: those costs to the consumers. So the truth and matter 174 00:09:18,760 --> 00:09:23,120 Speaker 1: is worn by many different people and it hurts many 175 00:09:23,160 --> 00:09:25,840 Speaker 1: different people throughout the chain. Some people have said, well, 176 00:09:26,280 --> 00:09:28,520 Speaker 1: just changed the supply chain, and when you talk about 177 00:09:28,520 --> 00:09:32,400 Speaker 1: the factories, uh and sort of replacing them, etcetera. There 178 00:09:32,480 --> 00:09:36,040 Speaker 1: there's an issue with that. But logistically, how challenging would 179 00:09:36,040 --> 00:09:40,719 Speaker 1: it be to uh completely rejigger the supply chain? I mean, 180 00:09:40,800 --> 00:09:44,240 Speaker 1: simply put, it couldn't be done. Uh. The investment and 181 00:09:44,280 --> 00:09:49,280 Speaker 1: the factories are manufacturing partners in Asia have invested tens 182 00:09:49,320 --> 00:09:52,400 Speaker 1: and tens of millions of dollars into their facilities. They 183 00:09:52,440 --> 00:09:56,040 Speaker 1: backed over a hundred million dollars in certain instances. Uh, 184 00:09:56,200 --> 00:09:59,520 Speaker 1: you just can't replicate that. First from a from a 185 00:09:59,559 --> 00:10:01,760 Speaker 1: cost point of view. Uh. In fact, one of our 186 00:10:01,800 --> 00:10:05,720 Speaker 1: biggest competitors over the last few years is invested almost 187 00:10:05,720 --> 00:10:09,640 Speaker 1: a billion dollars to create a manufacturing facility in the 188 00:10:09,679 --> 00:10:13,600 Speaker 1: United States that would be capable of producing the product 189 00:10:13,640 --> 00:10:16,440 Speaker 1: that we make, and they've been unsuccessful. It's not a 190 00:10:16,520 --> 00:10:20,040 Speaker 1: simple product to make um. And second of all, who 191 00:10:20,040 --> 00:10:22,760 Speaker 1: would invest that kind of money unless you felt that 192 00:10:22,800 --> 00:10:25,120 Speaker 1: you could make a good product and and go to 193 00:10:25,160 --> 00:10:29,760 Speaker 1: get a good return on it. So um our supply 194 00:10:29,880 --> 00:10:33,880 Speaker 1: chain is embedded, and it starts with our manufacturing facilities 195 00:10:33,880 --> 00:10:37,800 Speaker 1: in China, and then across the board. Each element of 196 00:10:37,800 --> 00:10:40,160 Speaker 1: it has to react to it. You just can't pick 197 00:10:40,240 --> 00:10:43,079 Speaker 1: up a factory, move it and and start afresh. What's 198 00:10:43,080 --> 00:10:47,080 Speaker 1: your primary UM I guess transportation method or route of 199 00:10:47,160 --> 00:10:49,400 Speaker 1: bringing the product from China to the U S. You 200 00:10:49,440 --> 00:10:52,080 Speaker 1: just slap on one of those big monster container ships 201 00:10:52,080 --> 00:10:56,400 Speaker 1: and it goes to Long Beach or something like that. Yes, okay. 202 00:10:56,640 --> 00:11:02,600 Speaker 1: So we ship approximately two thousand containers a month. Almost 203 00:11:02,640 --> 00:11:05,760 Speaker 1: all of that comes out of the Shanghai port starts. Actually, 204 00:11:05,960 --> 00:11:09,199 Speaker 1: our manufacturing partners are in jiang Jigon, China, which is 205 00:11:09,280 --> 00:11:12,439 Speaker 1: up the Yellow Yankcee River a few hours from Shanghai. 206 00:11:12,520 --> 00:11:15,720 Speaker 1: So they go from the manufacturing facility in Jang Jigan 207 00:11:16,240 --> 00:11:18,640 Speaker 1: on river boats down to the port of China, which 208 00:11:18,640 --> 00:11:21,920 Speaker 1: is Shanghai, by far the largest port in the world. 209 00:11:22,480 --> 00:11:25,719 Speaker 1: Two thousand containers a month get put on those very 210 00:11:25,800 --> 00:11:28,839 Speaker 1: very large boats that you see out there. Uh. Some 211 00:11:28,920 --> 00:11:30,640 Speaker 1: of them go to the port of Long Beach and 212 00:11:30,920 --> 00:11:34,600 Speaker 1: Los Angeles. Some come through the Panama Canal and go 213 00:11:34,720 --> 00:11:37,920 Speaker 1: to the port of Savannah, which is actually the third 214 00:11:38,000 --> 00:11:41,000 Speaker 1: largest port for these kinds of containers in the in 215 00:11:41,040 --> 00:11:46,760 Speaker 1: the country. And then we have distribution facilities in Compton, California, 216 00:11:47,000 --> 00:11:50,160 Speaker 1: in rinkin Georgia, which is a little bit outside of Savannah, 217 00:11:50,480 --> 00:11:54,680 Speaker 1: and from there we then ship them throughout the United States. 218 00:11:54,920 --> 00:11:58,520 Speaker 1: Just quickly here, I'm wondering whether there are new technologies 219 00:11:58,600 --> 00:12:01,680 Speaker 1: that would facilitate some of the logistics around this that 220 00:12:01,800 --> 00:12:06,240 Speaker 1: you're hesitant to invest in right now due to the uncertainties. Well, 221 00:12:07,000 --> 00:12:10,480 Speaker 1: you know, it's very very hard in this uncertain environment 222 00:12:10,480 --> 00:12:14,080 Speaker 1: to make long term strategic decisions. We happen to be 223 00:12:14,240 --> 00:12:16,720 Speaker 1: very lucky in the fact that we have a product 224 00:12:16,720 --> 00:12:20,480 Speaker 1: that the consumer is clamoring for and so we are 225 00:12:20,559 --> 00:12:23,920 Speaker 1: selling even in the face of these tariffs. We're doing 226 00:12:24,040 --> 00:12:27,560 Speaker 1: very very well. So we're not going to stop investing 227 00:12:27,600 --> 00:12:30,640 Speaker 1: in our businesses because of the uncertainty, but but it 228 00:12:30,679 --> 00:12:34,360 Speaker 1: makes it more difficult. We've invested UH. Two years ago 229 00:12:34,400 --> 00:12:37,800 Speaker 1: we opened a new facility in outside of Savannah, invested 230 00:12:37,880 --> 00:12:41,840 Speaker 1: eleven million dollars in robotics and in a new facility. 231 00:12:42,280 --> 00:12:45,120 Speaker 1: So we're doing that all the time, understood. Michael Commitskey, 232 00:12:45,160 --> 00:12:47,120 Speaker 1: thanks so much for joining us. We appreciate you stopping 233 00:12:47,160 --> 00:12:50,760 Speaker 1: by here. Michael's the CEO of h mt X Industries, 234 00:12:51,280 --> 00:12:54,360 Speaker 1: joining us here at the with them seventh Annual Global 235 00:12:54,440 --> 00:12:58,240 Speaker 1: Summit at second in New York City. Veraging with logistic 236 00:12:58,280 --> 00:13:01,600 Speaker 1: discussions and really important to get that view in terms 237 00:13:01,720 --> 00:13:04,360 Speaker 1: of on the ground, how realistic it is to shift 238 00:13:04,400 --> 00:13:08,840 Speaker 1: around your entire UH supply chain exactly, not very easy. 239 00:13:08,840 --> 00:13:27,760 Speaker 1: This is Bloomberg. We are so lucky to have with 240 00:13:27,840 --> 00:13:30,559 Speaker 1: us Tom Angel, who is the practice leader with him's 241 00:13:30,559 --> 00:13:35,080 Speaker 1: Financial Services Group. He has decades of experience with private 242 00:13:35,080 --> 00:13:38,920 Speaker 1: equity and venture capital firms in particular, which is incredibly topical. 243 00:13:39,559 --> 00:13:41,679 Speaker 1: Just this morning, Mark Wiseman of black Rocks that that 244 00:13:41,720 --> 00:13:44,959 Speaker 1: almost half of Black Rocks institutional clients plan to increase 245 00:13:44,960 --> 00:13:49,360 Speaker 1: their allocation to private asset classes. So Tom, thank you 246 00:13:49,400 --> 00:13:52,200 Speaker 1: so much for being here, can you talk about that 247 00:13:52,320 --> 00:13:55,440 Speaker 1: shift and sort of what you're seeing among your clients 248 00:13:55,640 --> 00:13:58,840 Speaker 1: in terms of the just massive amount of money flooding 249 00:13:58,880 --> 00:14:00,800 Speaker 1: into that There is a lot of capital coming into 250 00:14:00,840 --> 00:14:04,360 Speaker 1: the market, and especially for the private equity venture capital 251 00:14:04,400 --> 00:14:07,800 Speaker 1: funds UM. So if you take a look at Cowper's 252 00:14:08,040 --> 00:14:11,080 Speaker 1: Texas T Shirt Union, a lot of the pensions stated 253 00:14:11,280 --> 00:14:14,880 Speaker 1: of sovereign funds they are looking a ways to make 254 00:14:14,920 --> 00:14:18,839 Speaker 1: returns because they have to pay their retirees and typically 255 00:14:18,920 --> 00:14:21,240 Speaker 1: you're trying to look at a seven eight percent return 256 00:14:21,320 --> 00:14:25,160 Speaker 1: depending on what they're um what the amount is that 257 00:14:25,200 --> 00:14:27,680 Speaker 1: they need to return in order to be able to 258 00:14:27,680 --> 00:14:30,520 Speaker 1: make those payments. So UM, they can't make it in 259 00:14:30,520 --> 00:14:33,480 Speaker 1: the market UM over a long period of time. But 260 00:14:34,440 --> 00:14:37,560 Speaker 1: I think in the least twenty years, UH, the private 261 00:14:37,600 --> 00:14:41,720 Speaker 1: market has significantly outperformed the public market. And those studies 262 00:14:41,720 --> 00:14:45,240 Speaker 1: are out and so they're doing much more allocations to 263 00:14:45,320 --> 00:14:50,720 Speaker 1: private private equity, venture capital. Real estate could be dead funds, 264 00:14:51,000 --> 00:14:52,680 Speaker 1: a lot of private dead funds that are out there, 265 00:14:53,160 --> 00:14:56,800 Speaker 1: and in order to generate those returns that they need, 266 00:14:56,920 --> 00:15:00,400 Speaker 1: they're allocating dollars to that. Since the christ this back 267 00:15:00,400 --> 00:15:02,720 Speaker 1: in two thousand and eight, two thousand nine. You know, 268 00:15:02,800 --> 00:15:05,120 Speaker 1: so we've been going almost ten a little more years, 269 00:15:05,120 --> 00:15:07,440 Speaker 1: and that you keep wondering, well, when is that going 270 00:15:07,480 --> 00:15:09,440 Speaker 1: to stop? Because all that capital keeps coming in, how 271 00:15:09,480 --> 00:15:13,240 Speaker 1: they're going to deploy it? But places like Cowper's and 272 00:15:13,560 --> 00:15:16,920 Speaker 1: the others, they're not on a short term window. So actually, 273 00:15:16,960 --> 00:15:21,520 Speaker 1: some of the larger institutions like Blackstone and Carlisle, they're 274 00:15:21,520 --> 00:15:23,880 Speaker 1: looking at doing twenty year funds set a ten year 275 00:15:23,920 --> 00:15:26,480 Speaker 1: typical private equity funds ten ure because they have a 276 00:15:26,520 --> 00:15:29,440 Speaker 1: longer term horizon and so they want to generate more returns, 277 00:15:30,480 --> 00:15:32,840 Speaker 1: higher returns over a longer period of time. So they're 278 00:15:32,840 --> 00:15:36,400 Speaker 1: not worried about market dips or even even a recession 279 00:15:36,520 --> 00:15:39,920 Speaker 1: because at a recession point, they think they have an 280 00:15:39,960 --> 00:15:42,240 Speaker 1: opportunity to buy in at a lower price and get 281 00:15:42,280 --> 00:15:45,400 Speaker 1: better value. So, Tom, one of the issues that kind 282 00:15:45,440 --> 00:15:48,720 Speaker 1: of I think came to the market's head this year, 283 00:15:48,720 --> 00:15:51,600 Speaker 1: which maybe it's too much money chasing too few deals 284 00:15:51,600 --> 00:15:54,120 Speaker 1: in the venture community and maybe even the private equity community. 285 00:15:54,360 --> 00:15:56,480 Speaker 1: You know, maybe the greatest example that would be we 286 00:15:56,560 --> 00:15:59,400 Speaker 1: work where in the venture private world, and you could 287 00:15:59,400 --> 00:16:02,720 Speaker 1: even say were lift that, you know, the valuations that 288 00:16:02,760 --> 00:16:05,200 Speaker 1: were getting in the private market just we're too high. 289 00:16:05,280 --> 00:16:08,400 Speaker 1: Then they get really unmasked. I guess when they came 290 00:16:08,440 --> 00:16:11,200 Speaker 1: to the public markets. Are some are your clients worried 291 00:16:11,240 --> 00:16:14,960 Speaker 1: about too much money, tasting too few deals and driving 292 00:16:15,040 --> 00:16:17,800 Speaker 1: valuations to you know, crazy levels. Yeah, you'll talk to 293 00:16:17,880 --> 00:16:20,520 Speaker 1: a lot of our our funds and and they're looking 294 00:16:20,560 --> 00:16:23,520 Speaker 1: at what they're paying in terms of maybe on the 295 00:16:23,560 --> 00:16:27,200 Speaker 1: private equity side, in terms of um EBA on multiples, 296 00:16:27,240 --> 00:16:29,840 Speaker 1: they're definitely going up, and you know they're looking at 297 00:16:29,880 --> 00:16:33,040 Speaker 1: that and maybe being too frothy. But um if you 298 00:16:33,080 --> 00:16:36,000 Speaker 1: say to them, hey, what are you worried you're gonna 299 00:16:36,000 --> 00:16:38,120 Speaker 1: be holding the bag when the recession turns around, that 300 00:16:38,200 --> 00:16:41,800 Speaker 1: you have all these investments and they have capital that 301 00:16:41,880 --> 00:16:44,040 Speaker 1: they have to deploy that they've gotten in, and so 302 00:16:44,120 --> 00:16:47,840 Speaker 1: they're looking at that downturn as a possible um value 303 00:16:47,920 --> 00:16:50,640 Speaker 1: by at that point. So you know, they may start 304 00:16:50,720 --> 00:16:52,520 Speaker 1: to get hurt on some of these valuations, but they're 305 00:16:52,560 --> 00:16:56,040 Speaker 1: going to make up on those valuations after the recession 306 00:16:56,080 --> 00:17:00,160 Speaker 1: if you know one is coming. Um So, I think 307 00:17:00,240 --> 00:17:02,320 Speaker 1: the returns have been there and they have continued to 308 00:17:02,360 --> 00:17:05,879 Speaker 1: be there. Uh So on the venture side, you know 309 00:17:05,920 --> 00:17:08,760 Speaker 1: you brought up good points in terms of things that 310 00:17:08,840 --> 00:17:13,960 Speaker 1: have But there's only public companies where ten fifteen years 311 00:17:14,000 --> 00:17:16,840 Speaker 1: ago there were seven thousand. There's there's really no place 312 00:17:16,840 --> 00:17:20,040 Speaker 1: to put put the capital now that those particular examples 313 00:17:20,040 --> 00:17:23,800 Speaker 1: you're brought up weren't profitable, and nobody's worried about profitability. 314 00:17:23,800 --> 00:17:25,720 Speaker 1: They were more worried about growth on the private side. 315 00:17:26,119 --> 00:17:29,560 Speaker 1: Once they become public, everybody's looking at, well, one is 316 00:17:29,600 --> 00:17:31,639 Speaker 1: a profit going to turn around? I mean, if you 317 00:17:31,640 --> 00:17:34,440 Speaker 1: look at what happened with Amazon years ago, similar type 318 00:17:34,440 --> 00:17:36,119 Speaker 1: of thing, it took a while before they kind of 319 00:17:36,200 --> 00:17:39,600 Speaker 1: hit their stride. So the question is uber is lift 320 00:17:40,000 --> 00:17:43,160 Speaker 1: good public companies or good companies that are eventually turn 321 00:17:43,200 --> 00:17:45,840 Speaker 1: it around and they were in large growth mode and 322 00:17:45,880 --> 00:17:49,320 Speaker 1: now they're going to try and become profitable. Uh. I 323 00:17:49,359 --> 00:17:51,760 Speaker 1: think that's where the way you have to look at 324 00:17:51,760 --> 00:17:54,600 Speaker 1: it as opposed to this is just a bad model 325 00:17:54,640 --> 00:17:57,439 Speaker 1: and it's not working right now. I think it's fascinating 326 00:17:57,520 --> 00:18:00,320 Speaker 1: that some private equity firms are moving to twenty year 327 00:18:00,359 --> 00:18:02,679 Speaker 1: fund models. That's new, right, I mean that does that 328 00:18:02,720 --> 00:18:06,040 Speaker 1: have a precedent pre crisis, No, So this is new 329 00:18:06,119 --> 00:18:10,800 Speaker 1: because again they have certain institutional investors that are looking 330 00:18:10,800 --> 00:18:13,080 Speaker 1: more long term. So if you got a ten year 331 00:18:13,080 --> 00:18:15,200 Speaker 1: fund and your investment period is your first three or 332 00:18:15,240 --> 00:18:19,480 Speaker 1: four years, UM, then after that you're kind of carrying it. 333 00:18:19,720 --> 00:18:22,600 Speaker 1: So how much higher are some of the returns on 334 00:18:22,880 --> 00:18:25,760 Speaker 1: say a twenty year fund versus a ten year fund. 335 00:18:25,960 --> 00:18:29,040 Speaker 1: They've only been um launched in the last few years, 336 00:18:29,440 --> 00:18:33,919 Speaker 1: so UM. We don't have statistics on that yet, but 337 00:18:34,160 --> 00:18:36,840 Speaker 1: I would think that you have more of an opportunity 338 00:18:36,840 --> 00:18:38,639 Speaker 1: of when to sell as opposed to your coming to 339 00:18:38,680 --> 00:18:40,560 Speaker 1: the end of the fund and now you have to 340 00:18:40,600 --> 00:18:44,720 Speaker 1: liquidate those positions. So um. And there were only for 341 00:18:45,080 --> 00:18:49,400 Speaker 1: you know, those larger institutional types of investors, retirement plans, 342 00:18:49,440 --> 00:18:53,359 Speaker 1: state funds, um that don't need the money you know 343 00:18:53,600 --> 00:18:56,560 Speaker 1: immediately if you're high net worth individual and these are 344 00:18:56,680 --> 00:18:59,000 Speaker 1: investments you want to get some cash back within ten years. 345 00:18:59,080 --> 00:19:02,560 Speaker 1: These more worried about future payments for all the pensioneers 346 00:19:02,640 --> 00:19:04,800 Speaker 1: over a period of time. Let switch gears real quickly 347 00:19:04,840 --> 00:19:06,440 Speaker 1: to hedge funds. I saw just news I think the 348 00:19:06,520 --> 00:19:09,080 Speaker 1: last there so that Jeffrey Vinneck, the former star hedge 349 00:19:09,080 --> 00:19:11,600 Speaker 1: fund manager of Fidelity madgellan and who ran a long 350 00:19:11,680 --> 00:19:16,320 Speaker 1: time hedge fund, actually closed shop because he couldn't raise funds. 351 00:19:16,640 --> 00:19:19,760 Speaker 1: Is it that hard to raise money today? It's difficult, 352 00:19:19,840 --> 00:19:21,840 Speaker 1: especially on the hedge fund side. The e t fs 353 00:19:21,840 --> 00:19:25,600 Speaker 1: have really um hurt the hedge fund industry because the 354 00:19:25,640 --> 00:19:28,680 Speaker 1: fees are a lot less UM. So that's really brought 355 00:19:28,720 --> 00:19:30,879 Speaker 1: it down. I think I saw a week or so 356 00:19:31,040 --> 00:19:34,840 Speaker 1: or ago where UM dollars into e t f's first 357 00:19:35,080 --> 00:19:38,199 Speaker 1: for the first time exceeded dollars into hedge funds or 358 00:19:38,240 --> 00:19:41,920 Speaker 1: manage funds. So there was more capital going to those 359 00:19:42,280 --> 00:19:44,639 Speaker 1: uh e t f s, and and you know, you 360 00:19:44,720 --> 00:19:47,760 Speaker 1: need the right manager. So it's not everybody that can 361 00:19:48,000 --> 00:19:50,399 Speaker 1: um come in there. And you know back in the 362 00:19:50,400 --> 00:19:52,240 Speaker 1: old days where everybody would set up a fund and 363 00:19:52,320 --> 00:19:55,440 Speaker 1: invest in it, that's not happening anymore. Yeah. I guess 364 00:19:55,440 --> 00:19:57,520 Speaker 1: which shocked me is Jeff Vinick. I mean, you don't 365 00:19:57,520 --> 00:20:00,440 Speaker 1: get a bigger name. Well, there's a large a lot 366 00:20:00,480 --> 00:20:04,000 Speaker 1: of large like Leon Cooperman became a family office. There 367 00:20:04,040 --> 00:20:06,359 Speaker 1: were a lord a lot of large institutional head funds 368 00:20:06,440 --> 00:20:09,800 Speaker 1: that basically shut up, shutdown shop, gave all the money back, 369 00:20:09,840 --> 00:20:13,600 Speaker 1: and now they have a family office instead. Right exactly. Uh, 370 00:20:13,680 --> 00:20:16,640 Speaker 1: let's see here we are here, we're broadcasting life from 371 00:20:16,640 --> 00:20:20,119 Speaker 1: with him Seventhaniel Global Summit and second in New York City. 372 00:20:20,480 --> 00:20:23,040 Speaker 1: Tom Angel Practice Leader with him Financial Services script. Thanks 373 00:20:23,040 --> 00:20:26,040 Speaker 1: so much for joining us. We appreciate your comments on 374 00:20:26,040 --> 00:20:27,960 Speaker 1: the financial service indust You have a great conference today. 375 00:20:28,000 --> 00:20:44,720 Speaker 1: Thank you well. Twitter reported results last night and the 376 00:20:44,800 --> 00:20:47,960 Speaker 1: market did not like those results. The stock is trading 377 00:20:48,000 --> 00:20:51,879 Speaker 1: off about nineteen percent today, stocks around thirty one a share. 378 00:20:52,200 --> 00:20:54,000 Speaker 1: To get the latest on what happened there and also 379 00:20:54,160 --> 00:20:56,120 Speaker 1: week a little preview of Amazon, we welcome our good 380 00:20:56,119 --> 00:20:59,000 Speaker 1: friend to Tender Warral. He's a senior Internet annalyst for 381 00:20:59,040 --> 00:21:02,960 Speaker 1: Bloomberg INTELLGM. He joined us from our San Francisco studio, Tender, 382 00:21:03,000 --> 00:21:04,919 Speaker 1: thank you so much for joining us. First, give us 383 00:21:04,920 --> 00:21:07,879 Speaker 1: a sense of what happened at Twitter. They were on 384 00:21:07,920 --> 00:21:09,280 Speaker 1: a little bit of a run there. Looked like they 385 00:21:09,320 --> 00:21:12,119 Speaker 1: were turning things around. What happened, Yeah, you're right, it was. 386 00:21:12,200 --> 00:21:14,959 Speaker 1: It was a disappointing quote on Twitter has just walked 387 00:21:15,000 --> 00:21:18,000 Speaker 1: a few steps back in its recovery story here. I mean, first, 388 00:21:18,000 --> 00:21:21,639 Speaker 1: it was a quarter with a lot of bugs in 389 00:21:21,720 --> 00:21:25,760 Speaker 1: their mobile app promotions product. That's sort of like impacting 390 00:21:25,840 --> 00:21:29,520 Speaker 1: the at targeting aspect and hence the revenue that's coming 391 00:21:29,600 --> 00:21:32,320 Speaker 1: from that product. But the bigger concern here was the 392 00:21:32,359 --> 00:21:35,720 Speaker 1: seasonality that they were experiencing two months in the quarter. 393 00:21:36,280 --> 00:21:38,880 Speaker 1: Uh And it's interesting, but the seasonality was around events. 394 00:21:39,200 --> 00:21:41,440 Speaker 1: So basically, there are a lot of events happening, there's 395 00:21:41,440 --> 00:21:44,679 Speaker 1: content flowing around that, the air product launches happening, you know, 396 00:21:44,720 --> 00:21:47,159 Speaker 1: the your revenues go up. But if that doesn't happen, 397 00:21:47,280 --> 00:21:50,439 Speaker 1: then suddenly you see a lull that's happening. And this 398 00:21:50,440 --> 00:21:53,399 Speaker 1: this is a problem in terms of long term growth 399 00:21:53,480 --> 00:21:55,719 Speaker 1: visibility because you know, if they're not able to maintain 400 00:21:55,720 --> 00:21:59,720 Speaker 1: a steady scheme of advertisers, that it becomes difficult to 401 00:21:59,720 --> 00:22:02,240 Speaker 1: see how they can you know, continue to grow double 402 00:22:02,240 --> 00:22:05,840 Speaker 1: digit for years to come. So I'm struggling to understand 403 00:22:05,920 --> 00:22:08,879 Speaker 1: why they're having difficulties with advertisers given the fact that 404 00:22:08,920 --> 00:22:12,360 Speaker 1: their user base continue to show pretty strong growth, which 405 00:22:12,400 --> 00:22:16,720 Speaker 1: actually had been a question for the company a while back. Yeah, 406 00:22:16,800 --> 00:22:19,480 Speaker 1: that's a good question, and they are showing they continue 407 00:22:19,520 --> 00:22:21,880 Speaker 1: to show progress on the user growth. But what happens 408 00:22:21,920 --> 00:22:24,560 Speaker 1: is with with Twitter, you know, they're going after these 409 00:22:24,600 --> 00:22:28,560 Speaker 1: bigger brand advertisers. Self service a very small portion of 410 00:22:28,600 --> 00:22:31,840 Speaker 1: the business, not like uh, Facebook or Google or even 411 00:22:31,880 --> 00:22:34,520 Speaker 1: Snap for that matter. So you know, the salesforce has 412 00:22:34,560 --> 00:22:38,880 Speaker 1: to drive these advertising dollars. And and sometimes because these 413 00:22:38,960 --> 00:22:42,879 Speaker 1: advertising dollars sort of budgets flow against a given event 414 00:22:43,240 --> 00:22:45,679 Speaker 1: or a series of events or a product launch, you know, 415 00:22:45,760 --> 00:22:50,399 Speaker 1: they tend to keep on seeking new advertisers of humane 416 00:22:50,440 --> 00:22:53,679 Speaker 1: versus having a self service engine running like Facebook is. 417 00:22:54,160 --> 00:22:56,720 Speaker 1: And and that's why you see this lumpiness. And this 418 00:22:56,840 --> 00:22:59,840 Speaker 1: lumpiness is what what worries us the most. But there 419 00:22:59,880 --> 00:23:02,480 Speaker 1: was also a problem with some bugs that it talked 420 00:23:02,520 --> 00:23:05,840 Speaker 1: about what what was the issue there? So the issue 421 00:23:05,960 --> 00:23:09,880 Speaker 1: there was basically the ad targeting of the mobile app 422 00:23:09,960 --> 00:23:12,639 Speaker 1: promotions product, which is basically you know, mobile app installed 423 00:23:12,680 --> 00:23:15,440 Speaker 1: ads and and things like that. These are higher price ads. 424 00:23:15,720 --> 00:23:19,560 Speaker 1: They were facing issues with the data that was flowing 425 00:23:19,600 --> 00:23:22,119 Speaker 1: through to the advertisers. There was some data that was 426 00:23:22,160 --> 00:23:24,720 Speaker 1: not supposed to go was going, some of it was 427 00:23:24,760 --> 00:23:27,840 Speaker 1: not going, and and because that reduced the at targeting, 428 00:23:28,000 --> 00:23:32,080 Speaker 1: that had an impact on the spending against UH that product, 429 00:23:32,119 --> 00:23:35,120 Speaker 1: and that's why they saw they saw hit there. Now 430 00:23:35,160 --> 00:23:39,639 Speaker 1: the expectation is this will continue next quarter UH and 431 00:23:39,720 --> 00:23:42,119 Speaker 1: into next year as well. But next year they have 432 00:23:42,320 --> 00:23:45,959 Speaker 1: some uplift coming from the organic election year traffic. They 433 00:23:45,960 --> 00:23:49,639 Speaker 1: have Japan Olympics, uh coming as well, so they have 434 00:23:49,760 --> 00:23:53,119 Speaker 1: some offsets they're coming in next year. But what what 435 00:23:53,200 --> 00:23:56,560 Speaker 1: investers are questioning right now is the longevity here in 436 00:23:56,640 --> 00:23:59,960 Speaker 1: terms of you know, this lumpiness and business or if 437 00:24:00,040 --> 00:24:03,080 Speaker 1: vents driven or hits driven seasonality that that that the 438 00:24:03,160 --> 00:24:06,800 Speaker 1: quota is shorn so tender. Probably maybe as recently as 439 00:24:06,840 --> 00:24:10,000 Speaker 1: a year ago. There are real questions around this company. 440 00:24:10,160 --> 00:24:12,920 Speaker 1: Could it be a long term viable player in the 441 00:24:13,040 --> 00:24:15,760 Speaker 1: digital advertising market place. Did it have big enough audience 442 00:24:16,200 --> 00:24:18,560 Speaker 1: to compete with, you know, for ad dollars against the 443 00:24:18,560 --> 00:24:21,639 Speaker 1: facebooks and the of the world and the snapchats and 444 00:24:21,760 --> 00:24:23,840 Speaker 1: all the all that kind of thing. They seem to 445 00:24:23,840 --> 00:24:26,679 Speaker 1: be on their way to answering that question in the affirmative. 446 00:24:26,720 --> 00:24:29,800 Speaker 1: But did they take a big step back here? Uh? 447 00:24:29,880 --> 00:24:32,520 Speaker 1: They did, Paul, and I think last you're right, last 448 00:24:32,520 --> 00:24:35,000 Speaker 1: couple of quoters. They have been showing progress towards that. 449 00:24:35,040 --> 00:24:38,399 Speaker 1: In fact, the health initiative that they are spending money 450 00:24:38,400 --> 00:24:40,320 Speaker 1: on is actually paying off as we see you know, 451 00:24:40,400 --> 00:24:43,159 Speaker 1: the da you growth happening. But when it comes to 452 00:24:43,920 --> 00:24:47,800 Speaker 1: attracting advertisers longer term and scaling the business you know, 453 00:24:47,880 --> 00:24:51,119 Speaker 1: they have to scale the small business, small and medium 454 00:24:51,119 --> 00:24:54,320 Speaker 1: business dependence more. They have to scale the self serve advertising, 455 00:24:54,440 --> 00:24:57,159 Speaker 1: the dr advertising war. So those are the aspects that 456 00:24:57,160 --> 00:25:00,280 Speaker 1: there are still in the in the making and and 457 00:25:00,359 --> 00:25:02,359 Speaker 1: this quarter really puts them back in the show me 458 00:25:02,480 --> 00:25:06,239 Speaker 1: mode for to answer that longcome good question. So just 459 00:25:06,240 --> 00:25:08,880 Speaker 1: shifting gears a little bit, We're expecting Amazon earnings after 460 00:25:08,880 --> 00:25:12,440 Speaker 1: the bell. What are you looking for? Costs is going 461 00:25:12,480 --> 00:25:15,760 Speaker 1: to be the biggest topic. Last quarter, we saw their 462 00:25:15,840 --> 00:25:20,920 Speaker 1: marketing costs skyrocketed as they spend money on a WST marketing, 463 00:25:21,119 --> 00:25:25,000 Speaker 1: Prime Video, Alexa, and lex of those also one day shipping, 464 00:25:25,600 --> 00:25:28,480 Speaker 1: which is giving a boost to revenue, so we anticipate 465 00:25:28,560 --> 00:25:32,320 Speaker 1: that boost too happened this quarter as well. But what 466 00:25:32,440 --> 00:25:36,160 Speaker 1: would it cost is the question. And we saw them 467 00:25:36,600 --> 00:25:40,879 Speaker 1: come ahead a little bit than expectations last quarter, but really, 468 00:25:40,920 --> 00:25:43,240 Speaker 1: because it's so early with this one day shipping, we 469 00:25:43,280 --> 00:25:46,040 Speaker 1: don't know exactly how many or how quickly the new 470 00:25:46,080 --> 00:25:48,360 Speaker 1: products are being added to this platform and how much 471 00:25:48,400 --> 00:25:50,280 Speaker 1: more it can really cost. So this is a big 472 00:25:50,359 --> 00:25:54,600 Speaker 1: question mark for Amazon from profitability standpoint. So from a 473 00:25:54,680 --> 00:25:58,240 Speaker 1: revenue growth standpoint, I think they're doing well. One day 474 00:25:58,240 --> 00:26:01,800 Speaker 1: shipping is helping a WS wrote will come in question 475 00:26:01,880 --> 00:26:04,600 Speaker 1: again as it did last quarter, but you know the 476 00:26:04,720 --> 00:26:07,760 Speaker 1: size of the business, thirty billion dollars plus business. It 477 00:26:07,800 --> 00:26:10,800 Speaker 1: has to be considered when we look at these growth 478 00:26:10,920 --> 00:26:14,680 Speaker 1: rates going forward. But the focus for Amazon, I think 479 00:26:14,720 --> 00:26:16,920 Speaker 1: this quarter in the quarters to come, really is going 480 00:26:16,960 --> 00:26:19,639 Speaker 1: to be cost Thank you so much for being with 481 00:26:19,720 --> 00:26:23,280 Speaker 1: us to tender Verall, senior Internet analyst for a Bloomberg Intelligence, 482 00:26:23,320 --> 00:26:26,280 Speaker 1: joining us from our San Francisco studios. Twitter shares down 483 00:26:26,880 --> 00:26:31,280 Speaker 1: more than nine percent on those disappointing earnings, still though 484 00:26:31,680 --> 00:26:34,440 Speaker 1: shares that more than nine percent year to date. Amazon 485 00:26:34,480 --> 00:26:37,840 Speaker 1: shares ahead of the earnings release after the bell uh 486 00:26:38,000 --> 00:26:41,320 Speaker 1: up just at one point four percent, so people expecting 487 00:26:41,359 --> 00:26:45,159 Speaker 1: some positive news there. We are broadcasting live from with 488 00:26:45,280 --> 00:26:48,600 Speaker 1: him seventh Annual Global Summit in New York City, looking 489 00:26:48,600 --> 00:26:51,159 Speaker 1: at a mixed market with the Dow down while the 490 00:26:51,200 --> 00:26:54,200 Speaker 1: other broad indusicries are higher to set up a tenthse 491 00:26:54,280 --> 00:26:58,480 Speaker 1: of eight percent. Thanks for listening to the Bloomberg Panel podcast. 492 00:26:58,640 --> 00:27:00,720 Speaker 1: You can subscribe and listen to Inner Use at Apple 493 00:27:00,760 --> 00:27:04,120 Speaker 1: Podcasts or whatever podcast platform you prefer. M Paul Sweeney, 494 00:27:04,160 --> 00:27:06,919 Speaker 1: I'm on Twitter at PT Sweeney. I'm Lisa abram Woits. 495 00:27:06,920 --> 00:27:09,880 Speaker 1: I'm on Twitter at Lisa abram Whits one before the podcast, 496 00:27:09,960 --> 00:27:12,560 Speaker 1: you can always catch us worldwide on Bloomberg Radio