1 00:00:05,840 --> 00:00:08,000 Speaker 1: Welcome to the Fear and Greed Business Interview. I'm sure 2 00:00:08,080 --> 00:00:11,879 Speaker 1: al mum. Every business knows that the customer experience matters, 3 00:00:12,200 --> 00:00:15,080 Speaker 1: but some companies do it much better than others. Every year, 4 00:00:15,160 --> 00:00:19,720 Speaker 1: KPMG explores this with their Australian Customer Experience Excellence Report, 5 00:00:20,120 --> 00:00:23,279 Speaker 1: examining what a good customer experience looks like, sector bisector 6 00:00:23,600 --> 00:00:26,840 Speaker 1: and identifying the stand up performers. Carmen Becker is Partner 7 00:00:26,880 --> 00:00:30,680 Speaker 1: in charge of KPMG Customer Advisory and she joins me 8 00:00:30,800 --> 00:00:32,880 Speaker 1: in the studio. Carmen, welcome to Fear and Greed. 9 00:00:32,920 --> 00:00:34,559 Speaker 2: Thank you very much, Thank you for having me. 10 00:00:34,800 --> 00:00:38,640 Speaker 1: We talk about customer experience so much, and individually we 11 00:00:38,760 --> 00:00:43,960 Speaker 1: can all give anecdotes. Broadly, though, why does customer experience 12 00:00:44,120 --> 00:00:45,720 Speaker 1: matter so much to a company? 13 00:00:46,159 --> 00:00:50,080 Speaker 2: So a customer experience, A good customer experience can define 14 00:00:50,479 --> 00:00:53,080 Speaker 2: how to attract and keep your customers. To put it 15 00:00:53,080 --> 00:00:55,560 Speaker 2: really simply, why does a customer come to you and 16 00:00:55,560 --> 00:00:58,560 Speaker 2: why do they stay with you can be determined through 17 00:00:58,560 --> 00:01:02,920 Speaker 2: a great customer experience. We've also seen research in the 18 00:01:03,040 --> 00:01:06,160 Speaker 2: US that in our Customer Experience Excellence Report, when you 19 00:01:06,160 --> 00:01:09,440 Speaker 2: look at all the one hundred companies, the top fifty 20 00:01:10,040 --> 00:01:13,400 Speaker 2: get double the revenue returns if they focus on customer 21 00:01:13,440 --> 00:01:16,480 Speaker 2: you can see that sort of change. There's a real 22 00:01:16,520 --> 00:01:17,480 Speaker 2: financial benefit. 23 00:01:17,560 --> 00:01:20,800 Speaker 1: Yeah right. Who does it well in Australia at the moment. 24 00:01:21,200 --> 00:01:23,840 Speaker 2: Well. In our Customer Experience Excellence Report, the number one 25 00:01:23,840 --> 00:01:28,040 Speaker 2: brand this year was Mecha. Mecca is a online and 26 00:01:28,160 --> 00:01:32,400 Speaker 2: physical beauty store and it drives fantastic results. And there's 27 00:01:32,440 --> 00:01:34,000 Speaker 2: quite a few reasons, so, I. 28 00:01:33,920 --> 00:01:35,280 Speaker 1: Mean it makes it's an interesting one. I have a 29 00:01:35,280 --> 00:01:38,480 Speaker 1: couple of young women in my household and they love Mecha. 30 00:01:38,680 --> 00:01:40,360 Speaker 1: Both of them love Mecha. Yeah, what is it that 31 00:01:40,440 --> 00:01:41,119 Speaker 1: Mecha does? 32 00:01:41,480 --> 00:01:43,920 Speaker 2: So Mecca have a few key pillars that they lean 33 00:01:44,000 --> 00:01:48,440 Speaker 2: into which really drives this fantastic experience. One is loyalty. 34 00:01:48,720 --> 00:01:51,440 Speaker 2: So you're probably you've probably heard about the beauty Loop 35 00:01:51,840 --> 00:01:55,080 Speaker 2: the loyalty program. Mecha is a shining star of loyalty 36 00:01:55,120 --> 00:01:59,760 Speaker 2: programs in Australia and it drives a beyond reasonable demand 37 00:02:00,560 --> 00:02:04,320 Speaker 2: because women, tweens, girls all over Australia love the beauty 38 00:02:04,320 --> 00:02:07,080 Speaker 2: Loop boxes and they aim for the higher levels. We 39 00:02:07,120 --> 00:02:12,560 Speaker 2: see that driving fantastic repeat customers. So advocacy and loyalty. 40 00:02:13,440 --> 00:02:15,200 Speaker 2: The other thing they do is they have a very 41 00:02:15,280 --> 00:02:18,480 Speaker 2: good seamless customer interaction. I don't want to use too 42 00:02:18,560 --> 00:02:21,000 Speaker 2: much jargon, but what that means is if I'm on 43 00:02:21,120 --> 00:02:24,120 Speaker 2: the Mecca website, on the Mecha app, in the Meccha store, 44 00:02:24,160 --> 00:02:26,800 Speaker 2: they recognize me so they know that I'm the same person, 45 00:02:27,280 --> 00:02:31,400 Speaker 2: which means they're driving me to feel comfortable and confident 46 00:02:31,520 --> 00:02:36,520 Speaker 2: in their space, and that is done through excellent technology 47 00:02:36,600 --> 00:02:38,320 Speaker 2: within the company, within the back end. 48 00:02:38,639 --> 00:02:40,359 Speaker 1: In a moment, I'll get to some of these pillars 49 00:02:40,400 --> 00:02:42,360 Speaker 1: that you talk about, but I just want to go 50 00:02:42,400 --> 00:02:45,919 Speaker 1: to Bunnings quickly because it is always there and they 51 00:02:45,960 --> 00:02:48,560 Speaker 1: just seem to have this repeat process that no matter 52 00:02:48,600 --> 00:02:51,200 Speaker 1: who's there, people like Bunnings. What is it about that 53 00:02:51,240 --> 00:02:52,680 Speaker 1: company or that retailer. 54 00:02:52,960 --> 00:02:56,480 Speaker 2: Yeah, everything Bunnings does is pushing it up and up 55 00:02:56,520 --> 00:02:59,919 Speaker 2: in the Customer Experience Excellence Report. It really understands it's 56 00:03:00,040 --> 00:03:03,040 Speaker 2: customers and the segments. And we've seen that through a 57 00:03:03,080 --> 00:03:06,960 Speaker 2: few techniques that they've used. One is the in store 58 00:03:07,240 --> 00:03:10,560 Speaker 2: help helpers and the people that really help you navigate 59 00:03:10,639 --> 00:03:14,720 Speaker 2: not only the store, but navigate your DIY processes. They 60 00:03:14,760 --> 00:03:16,280 Speaker 2: are excellent. I don't know if you've ever been in 61 00:03:16,320 --> 00:03:17,839 Speaker 2: there and asked them. I don't know how to pat 62 00:03:17,880 --> 00:03:20,919 Speaker 2: this or do that. They are knowledgeable and they're always there. 63 00:03:20,919 --> 00:03:24,720 Speaker 2: They're on hand. They've enhanced that with a digital version 64 00:03:24,800 --> 00:03:27,840 Speaker 2: of that as well, so online they've got DIY videos 65 00:03:27,840 --> 00:03:31,200 Speaker 2: for everything, so people feel very confident that Bunnings can 66 00:03:31,240 --> 00:03:34,080 Speaker 2: help them through the situations and issues and problems they 67 00:03:34,120 --> 00:03:38,560 Speaker 2: may have with DIY. They've also used things like the 68 00:03:38,640 --> 00:03:41,480 Speaker 2: ale helper, you know, to really help you navigate what 69 00:03:41,600 --> 00:03:45,080 Speaker 2: is quite a complicated store if you don't understand DIY. 70 00:03:45,720 --> 00:03:49,840 Speaker 2: And they also have a very good hiring policy, so 71 00:03:49,880 --> 00:03:53,440 Speaker 2: we often see that the choice of employees that you 72 00:03:53,560 --> 00:03:58,880 Speaker 2: hire and your front of house staff really drive customer 73 00:03:58,960 --> 00:04:03,240 Speaker 2: experience results. So a great employee experience, employees that are 74 00:04:03,240 --> 00:04:06,200 Speaker 2: happy you've chosen the right employees for the right job, 75 00:04:06,760 --> 00:04:09,760 Speaker 2: they will drive higher customer experience. And we can see 76 00:04:09,760 --> 00:04:13,559 Speaker 2: that in Bunnings. They hire people for their previous experience, 77 00:04:13,760 --> 00:04:16,520 Speaker 2: so they might hire ex painters or x trade's to 78 00:04:16,600 --> 00:04:19,920 Speaker 2: really help people understand how to do their DIY projects. 79 00:04:20,240 --> 00:04:23,920 Speaker 1: And then just quickly Telco's utilities in the last report, 80 00:04:24,240 --> 00:04:28,120 Speaker 1: they're actually doing better. Now we've all hated our Telco 81 00:04:28,200 --> 00:04:30,120 Speaker 1: and our gas company, et cetera. 82 00:04:30,480 --> 00:04:30,680 Speaker 2: What do. 83 00:04:30,760 --> 00:04:33,960 Speaker 1: I mean, why are they what have they done to 84 00:04:34,160 --> 00:04:35,080 Speaker 1: turn things around? 85 00:04:35,360 --> 00:04:39,440 Speaker 2: Interestingly, so utilities, let's start there. They were always about 86 00:04:39,480 --> 00:04:44,080 Speaker 2: servicing the meter or the actual product itself that's in 87 00:04:44,120 --> 00:04:46,200 Speaker 2: the ground, and there's been a real shift in the 88 00:04:46,240 --> 00:04:49,839 Speaker 2: last say five years for these sorts of companies to 89 00:04:49,920 --> 00:04:53,400 Speaker 2: really service the customer. So think about what is it 90 00:04:53,440 --> 00:04:56,600 Speaker 2: that the customer might be expecting from their water supplier. 91 00:04:56,680 --> 00:05:00,279 Speaker 2: For example, they're expecting it not to turn off, to 92 00:05:00,320 --> 00:05:03,640 Speaker 2: understand their bills, they're expecting to know when there's work's 93 00:05:03,680 --> 00:05:06,200 Speaker 2: going to happen. And so you'll see all the innovations 94 00:05:06,279 --> 00:05:09,479 Speaker 2: that the water companies, for example, are using now to 95 00:05:09,520 --> 00:05:12,479 Speaker 2: really reassure customers that they're on top of things. So 96 00:05:12,520 --> 00:05:16,839 Speaker 2: they're using things like smart meters, they're using AI within 97 00:05:17,040 --> 00:05:19,719 Speaker 2: systems to understand where there might be a future problem 98 00:05:19,800 --> 00:05:21,480 Speaker 2: so they can go and fix it before it comes. 99 00:05:21,880 --> 00:05:24,839 Speaker 2: So with these sorts of technology advancements, they're able to 100 00:05:24,880 --> 00:05:28,719 Speaker 2: then provide a better customer experience and a better satisfaction 101 00:05:28,800 --> 00:05:29,520 Speaker 2: for customers. 102 00:05:29,920 --> 00:05:38,359 Speaker 1: Thank you, Carmen. We'll be back in a minute. My 103 00:05:38,440 --> 00:05:42,640 Speaker 1: guest this morning is Carmen Becker from KPMG. You talk 104 00:05:42,680 --> 00:05:45,640 Speaker 1: about six pillars of good customer service. I think some 105 00:05:45,720 --> 00:05:47,320 Speaker 1: are self evident, others are not. 106 00:05:47,520 --> 00:05:51,960 Speaker 2: Integrity, yes, so integrity is really about trust. So do 107 00:05:52,080 --> 00:05:56,680 Speaker 2: customers trust your brand, your business to do the things 108 00:05:56,720 --> 00:05:59,839 Speaker 2: that they say they're going to do, but with integrity, 109 00:06:00,120 --> 00:06:05,000 Speaker 2: so you know, within regulation, the ability to create an 110 00:06:05,080 --> 00:06:07,880 Speaker 2: environment whether your data is protected and they're not on 111 00:06:08,040 --> 00:06:11,080 Speaker 2: selling your data or doing something that makes the customer 112 00:06:11,080 --> 00:06:16,120 Speaker 2: feel uneasy with dealing with that company. Resolution Resolution is 113 00:06:16,160 --> 00:06:19,160 Speaker 2: really about complaints. So if you think about if I 114 00:06:19,240 --> 00:06:22,480 Speaker 2: have a problem, how quickly can you solve it? And 115 00:06:22,640 --> 00:06:26,719 Speaker 2: resolution is quite interesting now because of AI agents, we're 116 00:06:26,760 --> 00:06:31,240 Speaker 2: actually able to resolve problems quite quickly. So in the past, 117 00:06:31,240 --> 00:06:33,400 Speaker 2: you might have called a contact center with a complaint 118 00:06:33,680 --> 00:06:36,400 Speaker 2: weighted in a queue, eventually got hold of someone and 119 00:06:36,440 --> 00:06:39,880 Speaker 2: then had to resolve that maybe over email. Now what 120 00:06:39,920 --> 00:06:42,559 Speaker 2: we're seeing is companies have you know, a little AI 121 00:06:42,680 --> 00:06:45,839 Speaker 2: chatbot that you can access and you can talk to 122 00:06:45,880 --> 00:06:48,600 Speaker 2: that chatbot about what your problem or complaint might be, 123 00:06:48,920 --> 00:06:51,520 Speaker 2: and often it's resolved at that point of contact. 124 00:06:51,880 --> 00:06:54,040 Speaker 1: So AI has made a significant difference in. 125 00:06:53,960 --> 00:06:57,960 Speaker 2: That significant difference because now customers are looking to a 126 00:06:58,040 --> 00:07:01,760 Speaker 2: digital first solution when they have a complaint. So the 127 00:07:01,839 --> 00:07:05,600 Speaker 2: majority of customers under fifty really want They don't want 128 00:07:05,640 --> 00:07:09,240 Speaker 2: to talk to a contact center at all. They expect 129 00:07:09,279 --> 00:07:11,800 Speaker 2: a company to have a digital solution, So by that 130 00:07:11,880 --> 00:07:14,480 Speaker 2: I mean something through their app or an AI chatbot 131 00:07:14,600 --> 00:07:18,040 Speaker 2: or through their website, some way of contact and connecting 132 00:07:18,040 --> 00:07:21,080 Speaker 2: with the company to make sure that their query, question, 133 00:07:21,200 --> 00:07:22,920 Speaker 2: complaint is answered quickly. 134 00:07:23,160 --> 00:07:25,000 Speaker 1: Okay. The third pillar expectations. 135 00:07:25,440 --> 00:07:28,040 Speaker 2: Expectations is about doing what you say you are going 136 00:07:28,080 --> 00:07:30,880 Speaker 2: to do in the timeframe you promised to do it. 137 00:07:31,240 --> 00:07:35,400 Speaker 2: So in COVID, what we saw was expectations as a pillar, 138 00:07:35,560 --> 00:07:38,640 Speaker 2: and the scores on expectations went through the roof because 139 00:07:38,680 --> 00:07:42,760 Speaker 2: companies introduce better systems then to home deliver for example, 140 00:07:42,880 --> 00:07:45,760 Speaker 2: to get things to you quickly. They change things from 141 00:07:45,840 --> 00:07:49,520 Speaker 2: being physical to digital. And we've seen expectations rise and 142 00:07:49,600 --> 00:07:53,640 Speaker 2: rise and rise in Australia since COVID because people expect 143 00:07:53,640 --> 00:07:55,560 Speaker 2: if you say you're going to deliver it tomorrow, it 144 00:07:55,640 --> 00:07:56,480 Speaker 2: comes tomorrow. 145 00:07:56,880 --> 00:07:57,600 Speaker 1: Personalization. 146 00:07:58,160 --> 00:08:02,760 Speaker 2: Personalization is about really deeply understanding the customer that you're 147 00:08:02,800 --> 00:08:06,720 Speaker 2: talking to. And there's this buzzword called hyper personalization and 148 00:08:06,760 --> 00:08:09,040 Speaker 2: what that simply means is that companies have a one 149 00:08:09,040 --> 00:08:12,320 Speaker 2: to one relationship with their customer. So if I'm a 150 00:08:12,320 --> 00:08:15,000 Speaker 2: brand or a business, I really know you. I know 151 00:08:15,080 --> 00:08:17,800 Speaker 2: what you like doing, I know where you go, I 152 00:08:17,840 --> 00:08:20,240 Speaker 2: know all the information and data that you've chosen to 153 00:08:20,240 --> 00:08:24,760 Speaker 2: give me. But then what customers expect is a value exchange. Now, 154 00:08:25,000 --> 00:08:27,960 Speaker 2: so you've given me something as a brand, your customer's 155 00:08:28,000 --> 00:08:30,480 Speaker 2: given me your data. They want to know that you're 156 00:08:30,480 --> 00:08:33,040 Speaker 2: going to give them something back that helps them. So 157 00:08:33,520 --> 00:08:36,960 Speaker 2: personalization is really about also nudging the customer or helping 158 00:08:37,000 --> 00:08:40,280 Speaker 2: the customer before they really know they need help. I'm 159 00:08:40,280 --> 00:08:42,920 Speaker 2: really thinking about what that customer might need in that moment. 160 00:08:43,080 --> 00:08:45,160 Speaker 1: It's an interesting concept. I mean, maybe Mecha is an 161 00:08:45,160 --> 00:08:47,599 Speaker 1: example of that. I know a particular retailer that I 162 00:08:47,720 --> 00:08:50,200 Speaker 1: use a lot that really irritates me that I get 163 00:08:50,240 --> 00:08:52,520 Speaker 1: loyalty points but I get nothing for it. The only 164 00:08:52,600 --> 00:08:55,360 Speaker 1: benefit is if I have to exchange, I have it 165 00:08:55,400 --> 00:08:58,720 Speaker 1: on record, but otherwise it just sort of irritates me 166 00:08:59,120 --> 00:09:02,200 Speaker 1: that they've got my loyal without me getting anything from it. 167 00:09:02,440 --> 00:09:05,280 Speaker 2: Yeah, it's proven that loyalty programs need to have a 168 00:09:05,400 --> 00:09:09,280 Speaker 2: very strong return for the customer to really believe in it. 169 00:09:09,360 --> 00:09:13,200 Speaker 2: And you know, you can see with quantus loyalty program, flybys, etc. 170 00:09:14,080 --> 00:09:16,000 Speaker 2: You can see how they've developed over time and the 171 00:09:16,040 --> 00:09:18,760 Speaker 2: sorts of different incentives they're using to make sure customers 172 00:09:18,840 --> 00:09:21,040 Speaker 2: feel loyal and a sticky to those brands. 173 00:09:21,200 --> 00:09:22,680 Speaker 1: The fifth pillar is time and effort. 174 00:09:23,200 --> 00:09:26,560 Speaker 2: Yes, this is a favorite pillar of mine because this 175 00:09:26,720 --> 00:09:29,840 Speaker 2: is really about how hard is it to interact with 176 00:09:30,080 --> 00:09:34,559 Speaker 2: a company? So can I use the digital products easily? 177 00:09:34,960 --> 00:09:37,040 Speaker 2: You know? Is the app available? Do you have an app? 178 00:09:37,160 --> 00:09:37,360 Speaker 1: You know? 179 00:09:37,559 --> 00:09:40,200 Speaker 2: Is there a good website? Do I have to go 180 00:09:40,320 --> 00:09:42,880 Speaker 2: in store or in branch to do things that I 181 00:09:42,920 --> 00:09:46,200 Speaker 2: really should be able to do digitally and seamlessly? You know, 182 00:09:46,240 --> 00:09:48,520 Speaker 2: when you're signing a document, does it have to be 183 00:09:48,600 --> 00:09:51,080 Speaker 2: physical wet signature or could it be doc you signed? 184 00:09:51,360 --> 00:09:53,880 Speaker 2: So this is really what companies are doing behind the 185 00:09:53,920 --> 00:09:58,120 Speaker 2: scenes when they talk about digital transformation for customers. They're 186 00:09:58,160 --> 00:10:01,240 Speaker 2: looking at making all of those interacts actions as seamless 187 00:10:01,240 --> 00:10:01,880 Speaker 2: as possible. 188 00:10:02,120 --> 00:10:04,559 Speaker 1: In the final pillar, one, I love empathy. 189 00:10:04,800 --> 00:10:09,880 Speaker 2: Empathy is really strong in the last report in financial services, 190 00:10:09,920 --> 00:10:13,520 Speaker 2: increased by thirty percent. Empathy is really about not just 191 00:10:13,720 --> 00:10:16,240 Speaker 2: so knowing who the customer is, which is personalization, but 192 00:10:16,320 --> 00:10:20,559 Speaker 2: really deeply understanding what those customers issues might be and 193 00:10:20,679 --> 00:10:23,600 Speaker 2: we see this come out very clearly in financial services 194 00:10:23,640 --> 00:10:27,320 Speaker 2: companies when they think about financial hardship. So when they're 195 00:10:27,360 --> 00:10:30,920 Speaker 2: contacting a customer, before the customer reaches out, they may 196 00:10:30,960 --> 00:10:34,280 Speaker 2: have seen indicators in their everyday bank account that shows 197 00:10:34,320 --> 00:10:37,480 Speaker 2: that they might be entering into financial hardship. They might 198 00:10:37,520 --> 00:10:39,840 Speaker 2: be missing a mortgage payment. And so when a company 199 00:10:39,840 --> 00:10:43,920 Speaker 2: reaches out with kindness and empathy in that moment, they 200 00:10:44,040 --> 00:10:47,200 Speaker 2: drive unreasonable amounts of loyalty and so that really makes 201 00:10:47,280 --> 00:10:48,240 Speaker 2: customers sticky. 202 00:10:49,160 --> 00:10:51,120 Speaker 1: I mean, I think about half the top one hundred 203 00:10:51,120 --> 00:10:53,520 Speaker 1: brands a retailer is not surprising because their names that 204 00:10:53,520 --> 00:10:56,880 Speaker 1: we all know and love or not does it is 205 00:10:56,920 --> 00:10:59,760 Speaker 1: there much of a difference between the customer experience in 206 00:11:00,040 --> 00:11:01,319 Speaker 1: detail and the rest. 207 00:11:02,200 --> 00:11:05,319 Speaker 2: What retailers are really good at is driving innovation. So 208 00:11:05,400 --> 00:11:08,680 Speaker 2: they are often first forward with an idea. So you'll 209 00:11:08,720 --> 00:11:13,720 Speaker 2: see Amazon stores in America they were first with don't 210 00:11:13,760 --> 00:11:16,360 Speaker 2: pay on the way out. We've already scanned everything. We 211 00:11:16,440 --> 00:11:18,800 Speaker 2: see the different ways of scanning in Australia that have 212 00:11:18,840 --> 00:11:22,160 Speaker 2: come into the supermarkets. We see new innovations in the 213 00:11:22,960 --> 00:11:26,240 Speaker 2: digital commerce, like in the online aisle, through the retailers 214 00:11:26,280 --> 00:11:29,280 Speaker 2: first and we've also seen the best sort of AI 215 00:11:29,400 --> 00:11:32,840 Speaker 2: chatbots through them coming first. We also see really good 216 00:11:33,040 --> 00:11:37,480 Speaker 2: interactive immersive experiences, and what that means is places you 217 00:11:37,480 --> 00:11:39,480 Speaker 2: can go, you and I can go that are physical 218 00:11:39,760 --> 00:11:42,040 Speaker 2: where we have a really good time with the brand, 219 00:11:42,200 --> 00:11:44,640 Speaker 2: and then it drives loyalty. It makes us feel good, 220 00:11:44,720 --> 00:11:46,040 Speaker 2: it makes us connect with that brand. 221 00:11:46,080 --> 00:11:48,920 Speaker 1: ABEFI makes me feel twenty years younger my income. Well, 222 00:11:48,920 --> 00:11:50,520 Speaker 1: that's good. That is really good. 223 00:11:50,520 --> 00:11:52,360 Speaker 2: That's an excellent experience for you. 224 00:11:52,679 --> 00:11:55,400 Speaker 1: Okay, calm and let's wrap all that up. What does 225 00:11:55,440 --> 00:11:59,040 Speaker 1: the future hold in terms of customer experience, particularly with 226 00:11:59,120 --> 00:11:59,959 Speaker 1: reference to AI. 227 00:12:00,520 --> 00:12:02,480 Speaker 2: I'll give you a word for you to use in 228 00:12:02,520 --> 00:12:07,720 Speaker 2: your next interviews. It's anthropomorphism, which is one that you'll love. 229 00:12:08,040 --> 00:12:11,800 Speaker 2: It's where you put human attributes onto a machine. And 230 00:12:11,840 --> 00:12:14,640 Speaker 2: that really is the future. We're seeing that happening using AI, 231 00:12:14,800 --> 00:12:17,720 Speaker 2: using other tools, but really bringing to life the human 232 00:12:17,840 --> 00:12:21,040 Speaker 2: through machines and communicating with customers and making them feel 233 00:12:21,040 --> 00:12:23,439 Speaker 2: confident and comfortable talking to a machine. 234 00:12:24,080 --> 00:12:26,640 Speaker 1: Fantastic, Carmen, thank you for talking to Fear and Greed. 235 00:12:27,000 --> 00:12:27,360 Speaker 2: Thank you. 236 00:12:27,720 --> 00:12:31,760 Speaker 1: That was Carmen Beggar, partner in charge of KPMG Customer Advisory. 237 00:12:32,000 --> 00:12:34,160 Speaker 1: This is the Fear and Greed Business Interview. Join us 238 00:12:34,200 --> 00:12:36,480 Speaker 1: every morning for the full episode of Fear and Greed 239 00:12:36,520 --> 00:12:38,800 Speaker 1: Daily business years with people who make their own decisions. 240 00:12:39,000 --> 00:12:40,920 Speaker 1: I'm Sean Elmer. I enjoy your dad,