1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day, we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,520 --> 00:00:15,600 Speaker 1: with essential market moving news on the Bloomberg Markets Podcast, 5 00:00:15,600 --> 00:00:18,439 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:24,400 Speaker 1: at Bloomberg dot com slash podcast. Ford is investing three 7 00:00:24,480 --> 00:00:29,639 Speaker 1: point seven billion dollars in factories across three Midwestern states, including, 8 00:00:29,640 --> 00:00:32,319 Speaker 1: as we said, the great state of Ohio. UM, they're 9 00:00:32,360 --> 00:00:36,559 Speaker 1: gonna pump out more electric vehicles and traditional gas fueled autos, 10 00:00:36,600 --> 00:00:41,520 Speaker 1: including I hope the seventh generation Mustang. I'm slightly obsessed 11 00:00:42,080 --> 00:00:45,440 Speaker 1: with the current GT five hundred UM, but they're gonna 12 00:00:46,240 --> 00:00:50,760 Speaker 1: create more than just horsepower jobs. And I think Ford 13 00:00:51,000 --> 00:00:54,760 Speaker 1: is now the biggest employing the most auto workers of 14 00:00:54,800 --> 00:00:57,760 Speaker 1: any car maker in America. Let's bring in Kumar Galholtro 15 00:00:57,880 --> 00:01:00,640 Speaker 1: to talk about this. He is the president of Ford Blue, 16 00:01:00,680 --> 00:01:04,040 Speaker 1: which is their internal combustion business. Kumar, thanks so much 17 00:01:04,080 --> 00:01:08,240 Speaker 1: for joining us talk to me about the the size 18 00:01:08,400 --> 00:01:13,280 Speaker 1: and scope of Ford's employee employees. Good morning, Matt, thanks 19 00:01:13,280 --> 00:01:15,759 Speaker 1: for having me. Yeah, we are as you said, We're 20 00:01:15,800 --> 00:01:20,640 Speaker 1: the largest our lootto worker employer in the country. And 21 00:01:20,760 --> 00:01:22,800 Speaker 1: that's not an accident. You know, this is a choice 22 00:01:22,920 --> 00:01:26,320 Speaker 1: we made as a company, and we're gonna add to it. 23 00:01:26,319 --> 00:01:31,240 Speaker 1: We're gonna add sixty jobs to that. Uh and uh. 24 00:01:31,280 --> 00:01:33,160 Speaker 1: Those are going to be in three states, in Michigan 25 00:01:33,200 --> 00:01:36,679 Speaker 1: and the great State of Ohio and in Missouri. All right, 26 00:01:36,760 --> 00:01:38,960 Speaker 1: what do we know about I'm gonna be needling you 27 00:01:39,040 --> 00:01:44,160 Speaker 1: for details, Kumar on the new seventh generation Mustang. I 28 00:01:45,120 --> 00:01:49,720 Speaker 1: um fell in love with Gen five and I have 29 00:01:50,120 --> 00:01:53,920 Speaker 1: really been convinced. Actually, Alan mollally showed me my first 30 00:01:53,920 --> 00:01:57,200 Speaker 1: pictures of the sixth generation Mustang UM which was which 31 00:01:57,320 --> 00:02:00,600 Speaker 1: was wonderful. And now we're expecting a new one. Is 32 00:02:00,600 --> 00:02:03,480 Speaker 1: it still going to use the coyote, the famous five 33 00:02:03,600 --> 00:02:08,800 Speaker 1: lead V eight famous half I need you were gonna 34 00:02:08,800 --> 00:02:11,280 Speaker 1: ask that, Matt. I can't. I can't give you those 35 00:02:11,320 --> 00:02:13,560 Speaker 1: details yet, but I'd love to come back and talk 36 00:02:14,040 --> 00:02:17,160 Speaker 1: detailed on the must Thang, just like you. One of 37 00:02:17,200 --> 00:02:22,200 Speaker 1: my favorite vehicles ever, the most iconic vehicles we've ever made. 38 00:02:22,240 --> 00:02:24,880 Speaker 1: All Right, so you're at your factory in Ohio. Do 39 00:02:24,919 --> 00:02:27,560 Speaker 1: you have chips at your factory in Ohio? Give us 40 00:02:27,560 --> 00:02:31,080 Speaker 1: the update on this whole chips situation, because cars now 41 00:02:31,160 --> 00:02:36,040 Speaker 1: use a lot of chips, don't they. Yeah, like, uh, 42 00:02:36,280 --> 00:02:38,720 Speaker 1: you know a vehicle like the F one fifty can 43 00:02:38,800 --> 00:02:41,960 Speaker 1: has have as many as chips in it. Yes, we 44 00:02:42,040 --> 00:02:46,000 Speaker 1: have chips in Ohio. The Ohio factories running. The first 45 00:02:46,080 --> 00:02:49,280 Speaker 1: quarter was not great. As you know, it's been improving 46 00:02:49,919 --> 00:02:52,560 Speaker 1: and uh, I expect second half of this year to 47 00:02:52,600 --> 00:02:56,160 Speaker 1: be substantially better than the first half, but it's still 48 00:02:56,240 --> 00:03:00,840 Speaker 1: very volatile. You know, the Shanghai shutdown through in a volatility. 49 00:03:00,919 --> 00:03:03,760 Speaker 1: I'm really glad that Shanghai is coming out of lockdown 50 00:03:03,800 --> 00:03:06,960 Speaker 1: and a lot of our suppliers they're regatting production. Uh 51 00:03:07,000 --> 00:03:09,320 Speaker 1: So second half fully expect to be better than than 52 00:03:09,400 --> 00:03:12,080 Speaker 1: the first half. How is we know that the supply 53 00:03:12,160 --> 00:03:16,560 Speaker 1: chain and the chip shortages is coming along, is limping along, 54 00:03:16,600 --> 00:03:17,960 Speaker 1: and we hope it comes to an end as soon 55 00:03:18,000 --> 00:03:21,079 Speaker 1: as possible. But there's also a labor shortage. We saw 56 00:03:21,120 --> 00:03:24,760 Speaker 1: I think yesterday there are eleven point four million job 57 00:03:24,800 --> 00:03:28,440 Speaker 1: openings in America, which is crazy. How are you doing 58 00:03:28,480 --> 00:03:34,880 Speaker 1: in terms of attracting talent? We're doing actually quite well. 59 00:03:34,960 --> 00:03:38,080 Speaker 1: You know, we've made announcements in Kentucky, Tennessee. We're building 60 00:03:38,120 --> 00:03:42,160 Speaker 1: those plants and starting that process there. Uh, and today 61 00:03:42,200 --> 00:03:46,520 Speaker 1: we're announcing we're going at jobs and what else we're 62 00:03:46,560 --> 00:03:49,320 Speaker 1: doing is to your point, it's not just about creating 63 00:03:49,320 --> 00:03:53,640 Speaker 1: the jobs. It's about the employee experience. So at the moment, 64 00:03:54,120 --> 00:03:58,360 Speaker 1: we have three thousand temporary employees in our workforce. We 65 00:03:58,440 --> 00:04:01,600 Speaker 1: are converting all of them this June this month to 66 00:04:01,800 --> 00:04:04,880 Speaker 1: permanent Ford employees. So what that does is while all 67 00:04:04,920 --> 00:04:07,880 Speaker 1: of those three thousand employees will get a raise, Secondly, 68 00:04:08,480 --> 00:04:13,640 Speaker 1: all the employees will start getting full health coverage on 69 00:04:13,840 --> 00:04:17,200 Speaker 1: day one, so that's gonna be really important. And we're 70 00:04:17,240 --> 00:04:20,680 Speaker 1: also committing to investing a billion dollars over the next 71 00:04:20,680 --> 00:04:25,200 Speaker 1: five years in improving the employee experience at our factory. 72 00:04:25,400 --> 00:04:28,320 Speaker 1: So this is not about you know, tooling and etcetera. 73 00:04:28,360 --> 00:04:30,839 Speaker 1: That's the separate two point seven billion dollars. Were investing 74 00:04:31,200 --> 00:04:33,960 Speaker 1: this billion dollars over the next five years throughout our 75 00:04:34,120 --> 00:04:38,960 Speaker 1: entire industrial base, all the factories, just upgrading the employee experience. 76 00:04:39,720 --> 00:04:44,919 Speaker 1: Better access to healthy food, better break rooms, more security 77 00:04:44,960 --> 00:04:49,440 Speaker 1: and parking lots, better lighting in parking lots, more EV chargers. 78 00:04:49,440 --> 00:04:52,080 Speaker 1: So I think a combination of all that, uh, and 79 00:04:52,240 --> 00:04:55,359 Speaker 1: just the pure pride people have in working for Ford 80 00:04:55,400 --> 00:04:59,160 Speaker 1: and building these awesome vehicles is what helps us attract 81 00:04:59,680 --> 00:05:03,600 Speaker 1: of the workforce. So com I'm I'm guessing you know 82 00:05:03,760 --> 00:05:07,359 Speaker 1: car nuts like Matt and you you cruise down the 83 00:05:07,360 --> 00:05:11,120 Speaker 1: street in your Ford Mustang. Part of the thrill is 84 00:05:11,200 --> 00:05:14,360 Speaker 1: the roar of the engine. What happens when you guys 85 00:05:14,400 --> 00:05:16,839 Speaker 1: got huge part, huge part of this part. What happens 86 00:05:16,839 --> 00:05:19,000 Speaker 1: when when you guys go electric? How are you? How's 87 00:05:19,000 --> 00:05:24,680 Speaker 1: the industry thinking about that? Well, in an early indication 88 00:05:24,760 --> 00:05:29,800 Speaker 1: I think is the Mustang macke where we created the 89 00:05:29,920 --> 00:05:35,480 Speaker 1: sound inside the vehicle, so you can pick mode that 90 00:05:35,520 --> 00:05:37,320 Speaker 1: you drive that vehicle and you know, let's say you 91 00:05:37,360 --> 00:05:41,520 Speaker 1: pick unbridled, and it provides this sensation of the sound 92 00:05:41,520 --> 00:05:44,920 Speaker 1: that becomes part of the experience. And you know, going in, 93 00:05:45,360 --> 00:05:47,200 Speaker 1: everybody was wondering how that's going to play out. The 94 00:05:47,240 --> 00:05:49,960 Speaker 1: customers love it, They absolutely love it. So that's just 95 00:05:50,080 --> 00:05:52,240 Speaker 1: one idea, and we're playing around with other ideas how 96 00:05:52,279 --> 00:05:55,080 Speaker 1: we would replicate that experience. I actually got to test 97 00:05:55,160 --> 00:05:57,479 Speaker 1: drive the Macky and I loved it. Paul was just 98 00:05:57,520 --> 00:05:59,160 Speaker 1: asked me before the show, how can I never get 99 00:05:59,160 --> 00:06:01,599 Speaker 1: to test drive any of the cars. I'm gonna hook 100 00:06:01,640 --> 00:06:03,880 Speaker 1: you up with my point person out here, Mary Beth 101 00:06:03,960 --> 00:06:07,440 Speaker 1: Child's is great at at giving me cars. She got 102 00:06:07,440 --> 00:06:11,520 Speaker 1: me in last week Afford f two fifty Tremor with 103 00:06:11,640 --> 00:06:16,200 Speaker 1: Godzilla under the hood, a seven point three leader V 104 00:06:16,360 --> 00:06:20,240 Speaker 1: eight unbelievable, Kumar, Um, are you ever gonna put a 105 00:06:20,240 --> 00:06:26,520 Speaker 1: supercharger on that? Baby? I can't say, Matt, but these 106 00:06:26,560 --> 00:06:28,680 Speaker 1: are fantastic ideas. Let me check that back to the 107 00:06:28,680 --> 00:06:32,640 Speaker 1: power train team. You go back to Farley's office. I 108 00:06:32,720 --> 00:06:35,680 Speaker 1: know he wants to do it too, and uh yeah, 109 00:06:35,720 --> 00:06:42,080 Speaker 1: it's just an amazing engine. It's basically unkillable. This this motor. Um, 110 00:06:42,120 --> 00:06:46,200 Speaker 1: It's just so stout and sturdy, and the towing capacity 111 00:06:46,279 --> 00:06:49,000 Speaker 1: is amazing for a gas engine. Plus the two fifty 112 00:06:49,040 --> 00:06:51,320 Speaker 1: with the Tremor package on it, it is just a monster. 113 00:06:51,920 --> 00:06:54,479 Speaker 1: Um alright, Kumar, it's been great talking to you. Thanks 114 00:06:54,480 --> 00:06:56,839 Speaker 1: so much for joining us. Always great to get forward 115 00:06:56,839 --> 00:06:59,840 Speaker 1: executives coming from Ohio. You know, typically I talked to 116 00:06:59,880 --> 00:07:03,920 Speaker 1: the him in Deer Dearborn or in ann Arbor is 117 00:07:03,960 --> 00:07:05,920 Speaker 1: the worst. But um, when they come from Ohio, it 118 00:07:06,000 --> 00:07:12,480 Speaker 1: just makes me very happy. Now we are fortunate enough 119 00:07:12,520 --> 00:07:15,200 Speaker 1: to have Emily Chang here in the studio. Typically she's 120 00:07:15,200 --> 00:07:19,560 Speaker 1: on the left coast Um, usually interviewing Cheryl Sandberg. Right. 121 00:07:19,600 --> 00:07:22,240 Speaker 1: I feel like you've probably interviewed Cheryl Sanderberg more than 122 00:07:23,200 --> 00:07:27,040 Speaker 1: any other journalist. Interviewed her a few times yesterday, including 123 00:07:27,080 --> 00:07:31,560 Speaker 1: yesterday an exclusive interview. I will also point out, which 124 00:07:31,600 --> 00:07:33,160 Speaker 1: is a big deal in the in the news biz. 125 00:07:33,600 --> 00:07:38,840 Speaker 1: This is to me like a huge story. If if 126 00:07:38,880 --> 00:07:42,320 Speaker 1: a man of this stature were to step down after 127 00:07:42,440 --> 00:07:45,840 Speaker 1: creating a company like this, we would do wall to 128 00:07:45,880 --> 00:07:50,080 Speaker 1: wall coverage. Right. Um, she is without a doubt the 129 00:07:50,120 --> 00:07:54,800 Speaker 1: most powerful and most well known female executive in business. 130 00:07:54,880 --> 00:07:57,080 Speaker 1: And you know, I would say she is not just 131 00:07:57,160 --> 00:08:01,320 Speaker 1: one of the most powerful and influential business leader, business women, 132 00:08:01,400 --> 00:08:02,960 Speaker 1: business leaders in the world. She is just one of 133 00:08:02,960 --> 00:08:05,440 Speaker 1: the most powerful people in business totally. She took a 134 00:08:05,440 --> 00:08:10,040 Speaker 1: company that was like friends to and made Uh. They 135 00:08:10,040 --> 00:08:14,080 Speaker 1: had twenty seven billion dollars in AD sales in one 136 00:08:14,200 --> 00:08:19,720 Speaker 1: three month period. That's just shocking. And Facebook has one 137 00:08:19,800 --> 00:08:23,760 Speaker 1: of the fattest margins in the world of business. Like 138 00:08:24,080 --> 00:08:26,320 Speaker 1: all of the money they bring in for sales they 139 00:08:26,360 --> 00:08:29,400 Speaker 1: put in their pockets. Right, It's made Mark Zuckerberg one 140 00:08:29,440 --> 00:08:32,520 Speaker 1: of the richest people in the world. Cheryl Sandberg probably 141 00:08:32,559 --> 00:08:37,080 Speaker 1: also incredibly wealthy, Yes, definitely. Also, it has touched the 142 00:08:37,200 --> 00:08:41,640 Speaker 1: lives of three billion people directly right that used the platform. 143 00:08:41,679 --> 00:08:45,520 Speaker 1: I just think it's an amazing story. Why is she leaving, Well, 144 00:08:46,000 --> 00:08:48,679 Speaker 1: I'll tell you what she says. She says it's time. 145 00:08:48,800 --> 00:08:50,880 Speaker 1: She's been there for fourteen years. She thought it would 146 00:08:50,920 --> 00:08:54,160 Speaker 1: be five. She wants to spend more time with her family. 147 00:08:54,200 --> 00:08:56,760 Speaker 1: She's getting married this summer. She has five kids now. 148 00:08:56,960 --> 00:08:59,120 Speaker 1: She wants to spend more time on philanthropy, she wants 149 00:08:59,160 --> 00:09:01,360 Speaker 1: to spend more time on her women's advocacy. And I 150 00:09:01,400 --> 00:09:03,840 Speaker 1: do think what's happening with Roe versus Wade right now. 151 00:09:03,880 --> 00:09:06,880 Speaker 1: I think she potentially wants to get more active there 152 00:09:07,000 --> 00:09:11,040 Speaker 1: and now as the time. However, um, I think if 153 00:09:11,080 --> 00:09:14,199 Speaker 1: you think about the pivot to the metaverse, whether it's 154 00:09:14,200 --> 00:09:16,520 Speaker 1: a good idea or not, whether Facebook can capitalize it 155 00:09:16,600 --> 00:09:18,800 Speaker 1: or not on it or not, she would have had 156 00:09:18,840 --> 00:09:20,640 Speaker 1: to come up with a whole different business model or 157 00:09:20,679 --> 00:09:24,719 Speaker 1: a reconstitution of Facebook's business model for the metaverse. And 158 00:09:24,880 --> 00:09:28,640 Speaker 1: maybe she just didn't want to write a whole new chapter. Um, 159 00:09:28,679 --> 00:09:31,520 Speaker 1: maybe she was just done and wanted to do other things. 160 00:09:31,840 --> 00:09:34,800 Speaker 1: I also think that she's probably been looking for an 161 00:09:34,800 --> 00:09:38,319 Speaker 1: exit for several years. And because Facebook was facing controversy 162 00:09:38,320 --> 00:09:40,960 Speaker 1: after controversy after controversy, and she was often the face 163 00:09:41,000 --> 00:09:45,520 Speaker 1: of those controversies or felt responsibility to clean up the mess. Um, 164 00:09:45,640 --> 00:09:48,920 Speaker 1: she couldn't believe and there was never a good time. Yes, 165 00:09:49,080 --> 00:09:51,920 Speaker 1: let's talk about that for a moment. Because so she 166 00:09:52,080 --> 00:09:54,800 Speaker 1: wants to now step down from Facebook and do more good. 167 00:09:55,120 --> 00:09:57,920 Speaker 1: Can she redeem herself? Is she going to heaven? Because 168 00:09:58,520 --> 00:10:02,160 Speaker 1: Facebook is potentially one of the worst things to happen 169 00:10:02,240 --> 00:10:05,160 Speaker 1: to humanity, you know, I mean, it's just made the 170 00:10:05,160 --> 00:10:09,760 Speaker 1: world a worst place. Yes. And I think if if 171 00:10:10,040 --> 00:10:14,160 Speaker 1: Cheryl Sandberg has any failures, she did not admit to 172 00:10:14,480 --> 00:10:19,120 Speaker 1: the negative consequences that you know, Facebook has has clearly 173 00:10:18,800 --> 00:10:21,800 Speaker 1: clearly created and and and of course there there could 174 00:10:21,800 --> 00:10:25,000 Speaker 1: have been you know, decisions that she wanted Mark to 175 00:10:25,040 --> 00:10:28,439 Speaker 1: make make that he refused to make. Sure, let's allow 176 00:10:28,480 --> 00:10:32,400 Speaker 1: her that possibility. Um. But also there's no question that 177 00:10:32,440 --> 00:10:36,600 Speaker 1: she does bear responsibility for the negative consequences of Facebook, 178 00:10:36,760 --> 00:10:42,240 Speaker 1: and also that she was not able to repair Facebook's 179 00:10:42,240 --> 00:10:46,800 Speaker 1: relationship with Washington, repair Facebook's image, and of course that 180 00:10:46,880 --> 00:10:48,840 Speaker 1: then comes down to her own reputation. But can we 181 00:10:48,880 --> 00:10:52,439 Speaker 1: just say that she created one of the most incredible, 182 00:10:52,520 --> 00:10:55,680 Speaker 1: whether we like it or not, business models in history, 183 00:10:55,760 --> 00:10:58,720 Speaker 1: not just once but twice. She did it at Google, 184 00:10:59,080 --> 00:11:02,440 Speaker 1: she did it at Facebook. She wrote a transformational book 185 00:11:02,440 --> 00:11:04,880 Speaker 1: that I know not everyone agrees with that was very 186 00:11:04,920 --> 00:11:08,040 Speaker 1: powerful for many women, and not just women but men 187 00:11:08,160 --> 00:11:11,480 Speaker 1: and women and business. And so I don't know if 188 00:11:11,520 --> 00:11:13,880 Speaker 1: she's going to heaven or any of us going to heaven, 189 00:11:14,320 --> 00:11:18,120 Speaker 1: but I think we do have to celebrate what she 190 00:11:18,240 --> 00:11:22,720 Speaker 1: has created. Do you think she has a future in politics. 191 00:11:23,400 --> 00:11:25,959 Speaker 1: I think elected office would be tough. I think it 192 00:11:26,000 --> 00:11:27,520 Speaker 1: would be tough for her to win an election, and 193 00:11:27,600 --> 00:11:29,520 Speaker 1: you put it everything together, the good and the bad, 194 00:11:29,559 --> 00:11:33,240 Speaker 1: it's a challenge. I think appointed office maybe, And you know, 195 00:11:33,280 --> 00:11:36,679 Speaker 1: maybe the more distance she puts between herself and Facebook, 196 00:11:36,840 --> 00:11:40,360 Speaker 1: people start to see the good things again. And you know, 197 00:11:40,400 --> 00:11:42,400 Speaker 1: I don't know if she really wants to. I do 198 00:11:42,520 --> 00:11:45,240 Speaker 1: think that Cheryl is she's very ambitious. She wrote not 199 00:11:45,360 --> 00:11:48,520 Speaker 1: just one but two books while she was at Facebook. 200 00:11:48,640 --> 00:11:52,200 Speaker 1: She's strategic, she's smart, like I'm sure she has a 201 00:11:52,280 --> 00:11:57,240 Speaker 1: plan um and but you're right, she doesn't have to. 202 00:11:57,679 --> 00:12:00,680 Speaker 1: She doesn't have to, but I think she she is 203 00:12:00,720 --> 00:12:03,679 Speaker 1: someone who I just from my personal interactions with her, 204 00:12:03,840 --> 00:12:07,280 Speaker 1: she wants to work right, she wants to be contributing 205 00:12:07,800 --> 00:12:11,280 Speaker 1: um and I don't think she will be happy just 206 00:12:11,559 --> 00:12:14,480 Speaker 1: you know, quote unquote doing philanthropy, though I think that 207 00:12:14,480 --> 00:12:16,960 Speaker 1: that's very important work. I think that she will want 208 00:12:17,000 --> 00:12:19,640 Speaker 1: to do more and see how she can use her 209 00:12:19,760 --> 00:12:23,120 Speaker 1: voice as a force for good in the future. The 210 00:12:23,120 --> 00:12:26,320 Speaker 1: Bloomberg rich Go Functions says she has two point three 211 00:12:26,360 --> 00:12:30,320 Speaker 1: billion dollars. I'm gonna say that's lowballing you. Our data 212 00:12:30,400 --> 00:12:33,680 Speaker 1: is the best, rich Go, It's the best. Yeah, it 213 00:12:33,800 --> 00:12:37,400 Speaker 1: is the definitive data. Let's say she's rich. Okay, Like 214 00:12:37,440 --> 00:12:39,200 Speaker 1: I think that's a lot of money. That's a lot 215 00:12:39,240 --> 00:12:41,120 Speaker 1: of money, all right, Emily Chang, thank you so much 216 00:12:41,160 --> 00:12:44,160 Speaker 1: for joining us in our studio here at folks. Uh. 217 00:12:44,200 --> 00:12:46,640 Speaker 1: There's really not many journals I would say, maybe not 218 00:12:46,720 --> 00:12:48,960 Speaker 1: any who are as in touch with the business of 219 00:12:49,000 --> 00:12:51,880 Speaker 1: Silicon Valley than Emily Chang is from her perch on 220 00:12:52,000 --> 00:12:53,719 Speaker 1: the West Coast. We appreciate getting a few minutes of 221 00:12:53,800 --> 00:12:59,760 Speaker 1: your time. Matt and I often like to talk about 222 00:13:00,240 --> 00:13:02,880 Speaker 1: supply channel ofttimes you talk about it on a global scale, 223 00:13:02,880 --> 00:13:05,480 Speaker 1: getting two ships into ports and the railroads running in 224 00:13:05,480 --> 00:13:07,520 Speaker 1: the trucks and all that kind of stuff. But Iday, 225 00:13:07,520 --> 00:13:10,640 Speaker 1: I drove back and forth to South Jersey yesterday on 226 00:13:10,679 --> 00:13:13,840 Speaker 1: the New Jersey Turnpike and there it is just lined 227 00:13:14,160 --> 00:13:19,320 Speaker 1: with UH warehouses and fulfilment centers and Amazon Prime trucks 228 00:13:19,400 --> 00:13:21,360 Speaker 1: all over the place, and early makes you think about 229 00:13:21,400 --> 00:13:25,920 Speaker 1: that last mile of getting stuff to stores and then 230 00:13:26,000 --> 00:13:30,120 Speaker 1: stores to consumers. It is just an incredible business. Brian 231 00:13:30,160 --> 00:13:32,880 Speaker 1: Kinsella joins us. He's just senior VP of Product Management 232 00:13:33,120 --> 00:13:37,080 Speaker 1: at Manhattan Associates. That's a NASTAC traded company. M A 233 00:13:37,400 --> 00:13:39,760 Speaker 1: n H is the ticker on your Bloomberg terminal there. 234 00:13:39,960 --> 00:13:43,080 Speaker 1: Brian talked to us about kind of what retailers have 235 00:13:43,640 --> 00:13:45,720 Speaker 1: been doing over the past two two and a half 236 00:13:45,840 --> 00:13:49,800 Speaker 1: years as it relates to getting products to consumers. It's 237 00:13:49,800 --> 00:13:52,040 Speaker 1: not just people coming into stores. It's been e commerce, 238 00:13:52,080 --> 00:13:54,160 Speaker 1: it's been omni channel. What are some of the big 239 00:13:54,240 --> 00:13:57,840 Speaker 1: changes that you and your clients have been dealing with. Yeah, 240 00:13:57,880 --> 00:14:00,920 Speaker 1: good morning, I'm glad to be with you. Um So, yeah, 241 00:14:01,000 --> 00:14:03,600 Speaker 1: it's been Uh, it's been a fun last couple of years. 242 00:14:03,600 --> 00:14:06,240 Speaker 1: I mean, I think a couple of things. One. Um, 243 00:14:06,280 --> 00:14:08,720 Speaker 1: if you think about the experience you have as a consumer, 244 00:14:09,120 --> 00:14:12,840 Speaker 1: your expectations have really changed. When you order something now, 245 00:14:13,360 --> 00:14:14,960 Speaker 1: you know it's not okay for it to come in 246 00:14:15,040 --> 00:14:17,040 Speaker 1: five to seven days. You expect it in two days. 247 00:14:17,040 --> 00:14:19,280 Speaker 1: And you expect to be able to reserve something online 248 00:14:19,320 --> 00:14:21,720 Speaker 1: and do a curbside pick up in a couple of hours. 249 00:14:21,800 --> 00:14:23,920 Speaker 1: And those things may seem a little bit simple and basic, 250 00:14:23,960 --> 00:14:26,920 Speaker 1: but from a logistics and supply chain point of view, 251 00:14:26,960 --> 00:14:29,000 Speaker 1: there's a lot in the background that makes that happen. 252 00:14:29,120 --> 00:14:33,800 Speaker 1: So Um, it's really about speed to customer. Predictability and 253 00:14:33,880 --> 00:14:37,280 Speaker 1: visibility of that delivery experience is what the data will 254 00:14:37,280 --> 00:14:39,920 Speaker 1: show you will drive up your net promoter score UM 255 00:14:40,040 --> 00:14:43,680 Speaker 1: and drive loyalty amongst your customers. I got a curveball 256 00:14:43,720 --> 00:14:45,520 Speaker 1: for you. I got one out of left field here 257 00:14:46,200 --> 00:14:52,440 Speaker 1: kind of it's related. Are you going to heaven? No? Okay? Um, Brian, Uh. 258 00:14:52,480 --> 00:14:54,200 Speaker 1: You know, a couple of years ago, we were talking 259 00:14:54,240 --> 00:14:57,480 Speaker 1: about the idea of drones delivering stuff and I thought 260 00:14:57,560 --> 00:15:01,240 Speaker 1: it sounded ridiculous. I've heard there our pilot programs. Is 261 00:15:01,280 --> 00:15:04,720 Speaker 1: that kind of thing really going to happen? You know, 262 00:15:04,760 --> 00:15:07,560 Speaker 1: I think that we're in experimentation mode on a lot 263 00:15:07,560 --> 00:15:11,040 Speaker 1: of different things. That's everything from from drone delivery, which 264 00:15:11,120 --> 00:15:15,119 Speaker 1: is you know, obviously nascent, to robotics in the warehouse, 265 00:15:15,200 --> 00:15:17,960 Speaker 1: which is further along UM and is showing some real 266 00:15:18,000 --> 00:15:21,840 Speaker 1: productivity improvements, especially in a tight labor environment. UM. But 267 00:15:21,880 --> 00:15:23,600 Speaker 1: if you look at you know what's happening at a 268 00:15:23,640 --> 00:15:27,360 Speaker 1: macro level, employment in the warehousing and the transportation sectors 269 00:15:27,360 --> 00:15:30,120 Speaker 1: has never been higher. So this is still UM you know, 270 00:15:30,200 --> 00:15:33,800 Speaker 1: primarily a people driven process, both on the last mile 271 00:15:33,880 --> 00:15:36,840 Speaker 1: and delivery side as well as those big warehouses that 272 00:15:36,920 --> 00:15:39,800 Speaker 1: you drive by. The vast majority of that activity is 273 00:15:39,840 --> 00:15:42,720 Speaker 1: powered by people today. So the last mile is your 274 00:15:42,840 --> 00:15:49,320 Speaker 1: area of specific expertise. What UM is the unique selling 275 00:15:49,360 --> 00:15:55,840 Speaker 1: point of Manhattan Associates, What's what's your you know, elevator pitch. Well, 276 00:15:55,880 --> 00:15:58,320 Speaker 1: you know what we really do is UM. You know, 277 00:15:58,360 --> 00:16:01,040 Speaker 1: we think about the totality of the stomer experience when 278 00:16:01,040 --> 00:16:03,040 Speaker 1: it comes to fulfilment. So when you go online to 279 00:16:03,120 --> 00:16:06,160 Speaker 1: that website, you want to know what's in that local store? 280 00:16:06,560 --> 00:16:08,520 Speaker 1: When can I pick it up? Can I get the 281 00:16:08,600 --> 00:16:10,920 Speaker 1: same dat delivery? Can I get a next day delivery? 282 00:16:11,000 --> 00:16:12,520 Speaker 1: If I'm going to have a shift to me, how 283 00:16:12,520 --> 00:16:14,160 Speaker 1: long is it going to take if I add more 284 00:16:14,200 --> 00:16:16,680 Speaker 1: three or three more items to that basket? How does 285 00:16:16,720 --> 00:16:19,840 Speaker 1: that change my delivery experience in terms of timing and 286 00:16:19,840 --> 00:16:22,520 Speaker 1: so forth. Um So, pulling all that together, as you 287 00:16:22,600 --> 00:16:25,080 Speaker 1: might imagine, there's a lot of real time data that 288 00:16:25,120 --> 00:16:28,080 Speaker 1: needs to be consolidated together. Um you've got to also 289 00:16:28,160 --> 00:16:30,920 Speaker 1: avoid mistakes like not offering to send you a pair 290 00:16:30,960 --> 00:16:33,520 Speaker 1: of socks across town, you know, for free during the 291 00:16:33,800 --> 00:16:36,280 Speaker 1: you know, for the same day delivery. So really being 292 00:16:36,320 --> 00:16:38,880 Speaker 1: smart about that assortment and figuring out how to do 293 00:16:38,920 --> 00:16:41,480 Speaker 1: all of this profitably. So over the course of the 294 00:16:41,560 --> 00:16:44,840 Speaker 1: last few years, it's really been focused about customer experience 295 00:16:44,920 --> 00:16:48,440 Speaker 1: and delivering those types of fulfilment experiences. But we've also 296 00:16:48,480 --> 00:16:50,920 Speaker 1: got to look at how do we generate bottom line 297 00:16:50,960 --> 00:16:53,760 Speaker 1: results from more and more of the activity that's going 298 00:16:53,760 --> 00:16:56,840 Speaker 1: through these complex fulfilment channels. Brian, you mentioned one of 299 00:16:56,880 --> 00:16:59,600 Speaker 1: the key ingredients for that last mild delivery of packages, 300 00:16:59,640 --> 00:17:02,800 Speaker 1: and we've all seen the trucks cruising around town, you know, 301 00:17:02,880 --> 00:17:05,120 Speaker 1: dropping that pair of socks off the people that they 302 00:17:05,160 --> 00:17:07,679 Speaker 1: just have to have Today talk to us about the 303 00:17:07,760 --> 00:17:09,800 Speaker 1: labor situation because we know there's a labor shortage for 304 00:17:09,840 --> 00:17:12,040 Speaker 1: most industries out there. And I'm I'm guessing that's also 305 00:17:12,080 --> 00:17:14,439 Speaker 1: true kind of in your business as well as you 306 00:17:14,440 --> 00:17:18,480 Speaker 1: work with your clients. Yeah. Absolutely, And you know, before 307 00:17:18,560 --> 00:17:20,760 Speaker 1: the packages get on the back of those trucks, they 308 00:17:20,800 --> 00:17:24,800 Speaker 1: go through in most cases large complex distribution centers and 309 00:17:24,800 --> 00:17:27,760 Speaker 1: fulfillment centers. And you know, one of the things that 310 00:17:27,880 --> 00:17:31,920 Speaker 1: has been driving UM, you know, more use of automation, 311 00:17:32,119 --> 00:17:35,120 Speaker 1: be it next gen automation like robotics or your classic 312 00:17:35,119 --> 00:17:39,800 Speaker 1: automation is frankly the labor shortage in the labor situation. UM. 313 00:17:39,840 --> 00:17:42,160 Speaker 1: You know that said, One of the things that companies 314 00:17:42,200 --> 00:17:43,879 Speaker 1: can do and that we work with them on is 315 00:17:44,320 --> 00:17:47,520 Speaker 1: UM really creating a better experience for the associates in 316 00:17:47,560 --> 00:17:50,840 Speaker 1: the warehouse. You know, we've built some gamification technology so 317 00:17:50,880 --> 00:17:54,520 Speaker 1: that UM they're real time rewards that get built into 318 00:17:54,560 --> 00:17:58,080 Speaker 1: the work day, both monetary and otherwise. UM that you know, 319 00:17:58,119 --> 00:18:00,879 Speaker 1: really makes it more of a modern experience orients for 320 00:18:01,000 --> 00:18:03,040 Speaker 1: the younger generation as they come into some of those 321 00:18:03,119 --> 00:18:08,960 Speaker 1: jobs as well. In terms of UM normalization. I mean 322 00:18:09,000 --> 00:18:12,680 Speaker 1: you you you said, I think half joking that it 323 00:18:12,720 --> 00:18:15,160 Speaker 1: was been a fun couple of years. I'm sure it's 324 00:18:15,160 --> 00:18:18,560 Speaker 1: probably you've been the hardest two years of your career. Um, 325 00:18:18,600 --> 00:18:23,480 Speaker 1: when when do we get back to normal here? Well, Um, 326 00:18:23,520 --> 00:18:26,399 Speaker 1: you know, I think that it's uh, it's a matter 327 00:18:26,480 --> 00:18:29,760 Speaker 1: of the things are changing on both sides of the equation. 328 00:18:29,800 --> 00:18:32,119 Speaker 1: So obviously there's the supply disruption and I know you 329 00:18:32,119 --> 00:18:35,560 Speaker 1: guys have covered that extensively. Um, But that the consumer 330 00:18:35,640 --> 00:18:39,000 Speaker 1: continues to change. You know, that they want different ways 331 00:18:39,040 --> 00:18:43,720 Speaker 1: to take delivery of products, to pay for things, contactless payments, um, 332 00:18:43,800 --> 00:18:45,760 Speaker 1: you know, paying with crypto in the store. All of 333 00:18:45,800 --> 00:18:48,680 Speaker 1: that stuff continues to go along. So I don't think, 334 00:18:49,040 --> 00:18:50,919 Speaker 1: and I guess it's a bit cliche, but that the 335 00:18:50,960 --> 00:18:53,920 Speaker 1: reality is the you know what normal looks like is 336 00:18:53,920 --> 00:18:56,280 Speaker 1: going to be ongoing change and evolution. And I think 337 00:18:56,840 --> 00:18:59,520 Speaker 1: especially for a lot of you know companies that we 338 00:18:59,600 --> 00:19:02,840 Speaker 1: deal with, you know, they're they're chasing in some cases, 339 00:19:02,920 --> 00:19:05,280 Speaker 1: and we're trying to outcompete the legs of Amazon, and 340 00:19:05,320 --> 00:19:09,680 Speaker 1: we know their philosophy about continued evolution and and grow 341 00:19:09,760 --> 00:19:12,399 Speaker 1: to the customer experience. So I think it's going to 342 00:19:12,480 --> 00:19:15,000 Speaker 1: be you know, this pace that we've experienced the last 343 00:19:15,000 --> 00:19:16,600 Speaker 1: two to three years, I think is what we can 344 00:19:16,600 --> 00:19:20,080 Speaker 1: expect going forward in terms of continued investment in supply chain, 345 00:19:20,200 --> 00:19:24,200 Speaker 1: in technology UM, and improving the end customer delivery experience. 346 00:19:24,640 --> 00:19:27,120 Speaker 1: You mentioned Amazon dot Com and You're and obviously they're 347 00:19:27,160 --> 00:19:30,560 Speaker 1: the ones that have been driving this revolution in retail 348 00:19:30,720 --> 00:19:35,800 Speaker 1: over the last decades. Plural are are are the traditional retailers. 349 00:19:36,119 --> 00:19:39,640 Speaker 1: How does a MoMA keep up with that? Yeah, it's 350 00:19:39,640 --> 00:19:42,680 Speaker 1: a great question. We see two things. One, for the 351 00:19:43,240 --> 00:19:46,399 Speaker 1: non mom pops, you know, you're much larger companies UM, 352 00:19:46,440 --> 00:19:50,920 Speaker 1: they're building I T organizations and development shops to rival Amazon, 353 00:19:51,119 --> 00:19:54,040 Speaker 1: or to attempt to rival Amazon and really build out 354 00:19:54,359 --> 00:19:56,520 Speaker 1: a fair amount of it themselves. Now we work with 355 00:19:56,560 --> 00:19:58,240 Speaker 1: a lot of those guys behind the scenes too, but 356 00:19:58,359 --> 00:20:01,119 Speaker 1: the end customer experience they're trying to control. For the 357 00:20:01,160 --> 00:20:05,479 Speaker 1: smaller companies, it's really about cleverly stitching together you know, 358 00:20:05,560 --> 00:20:09,679 Speaker 1: some SASS solutions and cloud based technology providers to be 359 00:20:09,760 --> 00:20:12,919 Speaker 1: able to deliver those types of experiences. You're also seeing 360 00:20:13,240 --> 00:20:17,840 Speaker 1: some third party logistics providers really focusing on UM serving 361 00:20:17,880 --> 00:20:21,000 Speaker 1: that market the book that you're describing and essentially delivering 362 00:20:21,000 --> 00:20:25,119 Speaker 1: an Amazon like experience as a service. It sounds like 363 00:20:25,119 --> 00:20:28,480 Speaker 1: there's no going back. Brian cain sell, A, Senior VP 364 00:20:28,600 --> 00:20:32,119 Speaker 1: of Product Management in Manhattan, associates again that companies publicly 365 00:20:32,160 --> 00:20:34,560 Speaker 1: traded on the NASTAC M A and H is the 366 00:20:34,680 --> 00:20:38,719 Speaker 1: ticker UH for your Bloomberg terminal. The world is going 367 00:20:38,960 --> 00:20:43,040 Speaker 1: continues to go e commerce, omni channel. We're gonna online, 368 00:20:43,040 --> 00:20:44,919 Speaker 1: pick it up the store, all that kind of good stuff. 369 00:20:45,160 --> 00:20:52,640 Speaker 1: Retail is changing. June is Pride month, and a month 370 00:20:52,840 --> 00:20:55,800 Speaker 1: when we're focusing on equality issues here at Bloomberg. Today 371 00:20:55,800 --> 00:20:59,399 Speaker 1: we bringing Mary Ellen is Candarian CEO and president of 372 00:20:59,480 --> 00:21:03,000 Speaker 1: Women's World Banking, also author of a new book, Nothing 373 00:21:03,080 --> 00:21:07,119 Speaker 1: Mike Grow, about a billion women making finance work for women. Marianne, 374 00:21:07,119 --> 00:21:08,600 Speaker 1: thanks so much for joining us. I love to start 375 00:21:08,640 --> 00:21:11,480 Speaker 1: off just by getting your reaction to the news that 376 00:21:11,600 --> 00:21:15,600 Speaker 1: Cheryl S. Sandberg is stepping down from her CEO post 377 00:21:16,280 --> 00:21:20,000 Speaker 1: at Facebook. How did you what did you read into that? Well? 378 00:21:20,040 --> 00:21:21,920 Speaker 1: I have to say I hadn't heard that the stock 379 00:21:22,000 --> 00:21:25,399 Speaker 1: was up on the news until just listening to the 380 00:21:25,440 --> 00:21:29,199 Speaker 1: program right before we started talking. So that was interesting, 381 00:21:29,359 --> 00:21:33,080 Speaker 1: very very very interesting signal there. Um. You know, she 382 00:21:33,280 --> 00:21:37,400 Speaker 1: was really such a face for this movement of lean 383 00:21:37,520 --> 00:21:43,080 Speaker 1: in and and you know, negotiating for what right salaries 384 00:21:43,200 --> 00:21:46,399 Speaker 1: and everything everything to deserve. I know, a lot of 385 00:21:46,440 --> 00:21:49,640 Speaker 1: folks felt like, you know, there was a classic line 386 00:21:49,680 --> 00:21:51,560 Speaker 1: I've heard many women say, you know, sort of if 387 00:21:51,600 --> 00:21:53,720 Speaker 1: I lean in any further, I'm going to fall flat 388 00:21:53,800 --> 00:21:56,720 Speaker 1: on my faith. And UM, I think that a lot 389 00:21:56,760 --> 00:22:00,680 Speaker 1: of that sentiment really, um, you know, hit home during 390 00:22:00,800 --> 00:22:03,760 Speaker 1: during COVID, when all of the you know, sort of 391 00:22:03,800 --> 00:22:07,919 Speaker 1: the third shift, all of the additional responsibilities that that 392 00:22:07,960 --> 00:22:11,600 Speaker 1: women often take at home in addition to working really 393 00:22:11,920 --> 00:22:15,720 Speaker 1: um just ramped up to ridiculous levels as the kids 394 00:22:15,720 --> 00:22:18,720 Speaker 1: were homeschooled and people were trying to work from home 395 00:22:18,800 --> 00:22:21,200 Speaker 1: and there was just, you know, so much being being juggled. 396 00:22:21,240 --> 00:22:23,639 Speaker 1: So I don't know, I feel like the messages maybe 397 00:22:24,560 --> 00:22:28,840 Speaker 1: moved on a bit and that hasn't necessarily updated. Um 398 00:22:29,000 --> 00:22:32,560 Speaker 1: for all that we've learned, and a lot happens that happens, right, 399 00:22:32,600 --> 00:22:34,399 Speaker 1: I mean it was at the time, I think it 400 00:22:34,480 --> 00:22:39,360 Speaker 1: was really important, and it certainly was fascinating, and um, 401 00:22:40,520 --> 00:22:45,120 Speaker 1: she did an undeniably great job at creating a powerhouse business. 402 00:22:45,440 --> 00:22:48,240 Speaker 1: I mean, if you look at Facebook, um stock, yes, 403 00:22:48,359 --> 00:22:51,280 Speaker 1: it's up today three percent, and reaction were stepping down 404 00:22:51,320 --> 00:22:55,040 Speaker 1: but you know, at one point she was responsible for 405 00:22:55,119 --> 00:23:00,520 Speaker 1: boosting the stock like one thousand two. Um, she made 406 00:23:00,040 --> 00:23:03,600 Speaker 1: twenty seven billion dollars in one quarter and advertising revenue. 407 00:23:03,640 --> 00:23:06,840 Speaker 1: I mean she just she leaned way the heck in. 408 00:23:07,080 --> 00:23:09,680 Speaker 1: And it's easier, Marian when you have two point three 409 00:23:09,720 --> 00:23:15,840 Speaker 1: billion dollars, you know, to get childcare. Yes, what about 410 00:23:15,920 --> 00:23:19,719 Speaker 1: what about a normal the normal women of America post 411 00:23:19,800 --> 00:23:25,440 Speaker 1: COVID and you know even in less developed nations. How, um, 412 00:23:25,480 --> 00:23:28,520 Speaker 1: how are we doing in terms of creating a solid 413 00:23:29,080 --> 00:23:34,240 Speaker 1: financial foundation for for women. Well, you know, the work 414 00:23:34,280 --> 00:23:36,640 Speaker 1: that we do at Women's World Banking is very focused 415 00:23:36,680 --> 00:23:39,119 Speaker 1: on on the emerging markets and and we've seen some 416 00:23:39,240 --> 00:23:45,520 Speaker 1: actually really exciting developments in that. Um, you know, the 417 00:23:45,760 --> 00:23:49,919 Speaker 1: rush to digital moving so many government and private sector 418 00:23:50,720 --> 00:23:54,800 Speaker 1: you know, in addition to financial services, online has just 419 00:23:55,560 --> 00:23:59,520 Speaker 1: really you know, sort of driven change for women at 420 00:23:59,560 --> 00:24:02,159 Speaker 1: a pace that, um, you know, we could only have 421 00:24:02,240 --> 00:24:05,400 Speaker 1: imagined a few years ago. So we're actually pretty excited 422 00:24:05,440 --> 00:24:09,040 Speaker 1: about all of the smartphones that have gotten into women's hands. 423 00:24:09,080 --> 00:24:13,360 Speaker 1: You know, UM India made their first uh COVID relief 424 00:24:13,400 --> 00:24:18,160 Speaker 1: payments payable only two women and only through digital accounts. 425 00:24:18,640 --> 00:24:23,280 Speaker 1: UM India is also the country with the largest gender 426 00:24:23,320 --> 00:24:27,200 Speaker 1: gap in smartphone ownership. And so you saw like within 427 00:24:27,280 --> 00:24:31,040 Speaker 1: three weeks of that first um, that first lockdown, twenty 428 00:24:31,080 --> 00:24:36,040 Speaker 1: five million new digital accounts opened, primarily by women. So 429 00:24:36,200 --> 00:24:38,720 Speaker 1: you know, sometimes it does take a crisis to just 430 00:24:39,640 --> 00:24:45,600 Speaker 1: go through social norms and restrictive um cultural issues that 431 00:24:45,680 --> 00:24:49,520 Speaker 1: may all hold women back. But you know, in a crisis, 432 00:24:49,960 --> 00:24:52,919 Speaker 1: no way where you're going to not take advantage of 433 00:24:52,920 --> 00:24:56,679 Speaker 1: that government relief payment during such a scary time. So 434 00:24:57,000 --> 00:24:59,720 Speaker 1: you now have all of these women with those mobile 435 00:24:59,760 --> 00:25:03,199 Speaker 1: money accounts, the challenge will be let's keep them in 436 00:25:03,240 --> 00:25:06,040 Speaker 1: the system. Let's make sure we continue to serve them, 437 00:25:06,480 --> 00:25:08,720 Speaker 1: and as they start to come back into the into 438 00:25:08,720 --> 00:25:12,720 Speaker 1: the workforce, you know, even more importantly thirty seconds Mary Allan, 439 00:25:12,760 --> 00:25:14,760 Speaker 1: in the US, how are the banks doing in terms 440 00:25:14,760 --> 00:25:18,399 Speaker 1: of serving women? You know, I still feel in the 441 00:25:18,480 --> 00:25:20,400 Speaker 1: U S we we have a little bit of that 442 00:25:20,440 --> 00:25:25,280 Speaker 1: sort of pink product um phenomenon where you take a 443 00:25:25,320 --> 00:25:28,119 Speaker 1: product that maybe working for men, you know, put some 444 00:25:28,240 --> 00:25:31,480 Speaker 1: nice marketing around it, but you don't really look into 445 00:25:31,800 --> 00:25:35,520 Speaker 1: what's the need? What are women really missing, not understanding, 446 00:25:35,640 --> 00:25:39,000 Speaker 1: not really wanting, not that you're not listening to them 447 00:25:39,080 --> 00:25:43,320 Speaker 1: and and really taking a woman centered focus um on 448 00:25:43,400 --> 00:25:46,280 Speaker 1: your product design. I think there's a there's a great 449 00:25:46,280 --> 00:25:49,720 Speaker 1: stuff that's happening. You're seeing some really interesting fintech and 450 00:25:49,800 --> 00:25:52,679 Speaker 1: tech enabled solutions that are focused on women, but I 451 00:25:52,720 --> 00:25:55,359 Speaker 1: think the banks specifically still have a way to go. 452 00:25:55,520 --> 00:25:57,320 Speaker 1: All right, Mary Ellen, great stuff. Thanks for coming on. 453 00:25:57,359 --> 00:25:59,600 Speaker 1: We really appreciate getting your thoughts. Mary Ellen is can 454 00:25:59,680 --> 00:26:03,280 Speaker 1: Day and CEO and president of Women's World Banking. New 455 00:26:03,320 --> 00:26:07,359 Speaker 1: book out entitled Nothing Micro About a Billion Women Making 456 00:26:07,400 --> 00:26:13,040 Speaker 1: finance work for Women. Thanks for listening to the Bloomberg 457 00:26:13,119 --> 00:26:16,480 Speaker 1: Markets podcast. You can subscribe and listen to interviews with 458 00:26:16,560 --> 00:26:21,359 Speaker 1: Apple Podcasts or whatever podcast platform you prefer. I'm Matt Miller. 459 00:26:21,640 --> 00:26:25,479 Speaker 1: I'm on Twitter at Matt Miller, three pen On Fall 460 00:26:25,520 --> 00:26:28,400 Speaker 1: Sweeney I'm on Twitter at pt Sweeney. Before the podcast, 461 00:26:28,480 --> 00:26:31,160 Speaker 1: you can always catch us worldwide at Bloomberg Radio