In this episode:
Wendy Liebmann talks with Mindy McKnight, CEO of M-Star Media Inc., content developer and founder of Hairitage by Mindy, about how to build a successful CPG brand today.
They discuss:
- The essence of building a successful multi-million dollar brand without losing its founder soul, and its solution driven reason-for-being
- The keys to creating a modern business collaboration: a partner with the right intellectual capital, a retailer [Walmart] eager to experiment, a digital expertise, and a willingness to let the consumer/shopper be part of brand building
- The value of real-time consumer feedback that comes with having a devoted, engaged digital community
- How new social platforms, including the metaverse, will make for exciting retail times in the future
- How a successful content-driven, social brand will make them laugh, cry, teach something or make their life easier
Don’t miss upcoming episodes, stay up-to-date by visiting the WSL Shopper Insights Library, or our Podcast page.
1 00:00:09,540 --> 00:00:12,630 Wendy: Hello, everyone. I'm Wendy Liebmann. I'm the CEO and 2 00:00:12,630 --> 00:00:17,370 chief shopper at WSL Strategic Retail, and this is Future Shop. 3 00:00:17,820 --> 00:00:22,350 This is where I talk to kind of class disruptors, big thinkers 4 00:00:22,440 --> 00:00:24,600 about the future of retail. 5 00:00:33,150 --> 00:00:36,810 Today, I have a very big thinker. His name is Justin 6 00:00:36,900 --> 00:00:38,670 Honaman. Welcome, Justin. 7 00:00:38,910 --> 00:00:42,120 Justin: Hey, it's great to be here and good to be with you. 8 00:00:42,120 --> 00:00:44,970 What? Twice in like three weeks. So it's great. Thanks for the 9 00:00:44,970 --> 00:00:45,390 invite. 10 00:00:45,510 --> 00:00:47,970 Wendy: It's a luxury right? Well, let me just try and 11 00:00:47,970 --> 00:00:51,330 paraphrase what the heck it is you do. And then you can tell us 12 00:00:51,330 --> 00:00:53,670 a little bit more. I'm going to read this because it's quite a 13 00:00:53,670 --> 00:00:59,040 convoluted title. Justin, as the Head of Worldwide Retail, and 14 00:00:59,040 --> 00:01:04,050 Consumer Goods, Go-to-Market at Amazon Web Services. Tell us a 15 00:01:04,050 --> 00:01:06,930 little bit about what that title actually really means that 16 00:01:06,930 --> 00:01:07,500 Amazon 17 00:01:07,800 --> 00:01:10,080 Justin: I lead our worldwide retail and consumer goods go to 18 00:01:10,080 --> 00:01:14,910 market team. Yes, I sit within AWS, Amazon Web Services that I 19 00:01:14,910 --> 00:01:17,880 work with. And my team works with the vast majority of 20 00:01:18,090 --> 00:01:21,690 retailers and consumer goods companies worldwide that engage 21 00:01:21,690 --> 00:01:26,310 with an interface with AWS and actually broader Amazon. And the 22 00:01:26,340 --> 00:01:31,140 big idea is how do you bring capability systems process and 23 00:01:31,140 --> 00:01:34,800 thinking around innovation to these customers to help them go 24 00:01:34,800 --> 00:01:37,710 further, faster? Like that's the bottom line of what we're here 25 00:01:37,710 --> 00:01:42,090 to do. I also am the segment lead for food and beverage 10 26 00:01:42,090 --> 00:01:45,570 years at Coca Cola and quite a few years since that time, in 27 00:01:45,570 --> 00:01:48,780 consumer goods and retail, and we engage together in the 28 00:01:48,780 --> 00:01:52,170 industry. And so hence how we connected a lot of good 29 00:01:52,170 --> 00:01:54,420 connection points with you and our networks. 30 00:01:54,540 --> 00:01:57,510 Wendy: No, it was exciting when we first met. And of course, the 31 00:01:57,510 --> 00:01:59,640 first question out of my mouth is always Oh, come on the 32 00:01:59,640 --> 00:02:02,280 podcast and have a chat. So I'm glad we got to do this so 33 00:02:02,280 --> 00:02:05,430 quickly. You know what struck me when you were talking about the 34 00:02:05,430 --> 00:02:08,970 sort of broader view that you have going to think about you in 35 00:02:08,970 --> 00:02:12,810 the cloud, right in the not just the Amazon cloud. But in the 36 00:02:12,900 --> 00:02:17,220 world cloud of all things consumer products and retail you 37 00:02:17,220 --> 00:02:20,190 published just at the end of the year, early this year, you're 38 00:02:20,190 --> 00:02:24,360 thinking piece on what the key trends were for 2023. And I was 39 00:02:24,360 --> 00:02:27,420 taken with them because it's a unique lens. I mean, it's got a 40 00:02:27,420 --> 00:02:31,620 very strong digital perspective to it. So I wanted to pull out a 41 00:02:31,620 --> 00:02:34,260 couple of those and just have a chat about it, because I think 42 00:02:34,290 --> 00:02:37,890 you bring that compelling view. But one that first hit me, which 43 00:02:37,890 --> 00:02:41,220 is sort of the hot new topic of the day is retail media 44 00:02:41,220 --> 00:02:46,380 networks. And so my question to you is, is it all huff and puff? 45 00:02:46,380 --> 00:02:49,920 Or are we really somewhere in these things that are retail 46 00:02:49,920 --> 00:02:52,950 media and networks? Are they adding value to shoppers not 47 00:02:52,950 --> 00:02:55,830 just monetization for retailers? 48 00:02:56,020 --> 00:02:59,140 Justin: Yeah, that's a great question. So just to give your 49 00:02:59,170 --> 00:03:01,600 listeners a little bit of context, every year I write a 50 00:03:01,600 --> 00:03:06,520 piece for RS News on trends and retail for the year. And it's a 51 00:03:06,520 --> 00:03:08,710 lot of fun. Because it's a prospective piece. It's an idea 52 00:03:08,740 --> 00:03:11,770 that puts ideas together around potential focus not only on 53 00:03:11,770 --> 00:03:14,800 technology, but process and people thinking about the 54 00:03:14,800 --> 00:03:17,920 industry for the year. Yeah, retail media networks is 55 00:03:17,920 --> 00:03:20,800 definitely what it would make the buzzword bingo card for 56 00:03:20,830 --> 00:03:25,510 2023. And it Israel. There are real solutions around it. But 57 00:03:25,510 --> 00:03:30,310 it's not just I'd say buzz or you know, a concept. The idea 58 00:03:30,310 --> 00:03:36,250 here is using instore messaging, basically dynamic messaging to 59 00:03:36,370 --> 00:03:39,670 allow brands to reach consumers and in somewhat of a one to one 60 00:03:39,670 --> 00:03:44,560 fashion right and with trade execution dollars with spent 61 00:03:44,560 --> 00:03:48,130 with that retailer to put your brand in front of a customer or 62 00:03:48,130 --> 00:03:51,610 shopper in near real time. So it's very unique because as you 63 00:03:51,610 --> 00:03:55,960 know, when retail stores is typically put a display in or 64 00:03:55,960 --> 00:04:00,730 put signage in or put an a shipper in, and it's there for a 65 00:04:00,730 --> 00:04:03,820 period of time, but it's not dynamic, right? It's there for a 66 00:04:03,820 --> 00:04:07,450 set period of time. And a purchase. I'll call it by a 67 00:04:07,450 --> 00:04:11,680 consumer goods brand. And so what's interesting about this is 68 00:04:11,770 --> 00:04:14,980 it's a more dynamic way of allowing consumer goods 69 00:04:14,980 --> 00:04:17,320 companies to work with the retailer to reach the consumer. 70 00:04:17,380 --> 00:04:19,360 So that's what's really interesting, and yes, I think 71 00:04:19,360 --> 00:04:19,990 we'll see more of it. 72 00:04:20,309 --> 00:04:23,729 Wendy: I also think done, right? That whole notion of 73 00:04:23,729 --> 00:04:27,689 personalization using the retailer's data, assuming it's 74 00:04:27,689 --> 00:04:32,939 good data, to be able to, sorry, excuse my cynicism, but good 75 00:04:32,969 --> 00:04:37,349 first party data and other I suspect, but able to target more 76 00:04:37,349 --> 00:04:41,549 effectively, what I'm seeing as a shopper and not just seeing 77 00:04:41,579 --> 00:04:45,029 the sort of mass as you said, the mass static display 78 00:04:45,029 --> 00:04:49,229 presentation message because I think that's the thing that that 79 00:04:49,229 --> 00:04:52,379 feels to me like it's where the excitement is. If the message 80 00:04:52,379 --> 00:04:56,969 feels right to me at that time, then I can respond appropriately 81 00:04:56,969 --> 00:04:59,969 rather than just walking by to the clutter kind of thing. 82 00:05:00,420 --> 00:05:03,510 Justin: Yeah, I think it's like a triple win. So it's a win for 83 00:05:03,510 --> 00:05:06,480 the brand, let's pick a Kellogg's or a Coca Cola or 84 00:05:06,480 --> 00:05:10,560 PepsiCo or the major brand or small brands even right, that 85 00:05:10,590 --> 00:05:14,820 don't typically have access to one to one consumer data or 86 00:05:14,820 --> 00:05:17,340 shopper data, they have to get that through a retailer or 87 00:05:17,340 --> 00:05:20,190 through like, they have to buy it through Nielsen, or IRI. So 88 00:05:20,400 --> 00:05:22,770 there could be a win there for the brand in terms of being able 89 00:05:22,770 --> 00:05:26,340 to reach the customer work dynamically, the second win 90 00:05:26,370 --> 00:05:29,220 would be for the retailer, right? So the retailer is now 91 00:05:29,220 --> 00:05:32,430 going to monetize that space. So it's an incremental revenue 92 00:05:32,430 --> 00:05:36,090 opportunity for the retail shop owner, I'll call it. And then 93 00:05:36,090 --> 00:05:39,510 for the actual shopper, like you and I that are in the store, I 94 00:05:39,510 --> 00:05:44,370 can have faster access, potentially, to coupons to buy 95 00:05:44,370 --> 00:05:48,750 gets in store, or just awareness of new brands. I think that's 96 00:05:48,750 --> 00:05:51,960 another interesting play for retail media networks. But all 97 00:05:51,960 --> 00:05:55,770 of this comes down to data, and you said it. So like who's going 98 00:05:55,770 --> 00:06:00,270 to own that data, and then use the data to serve up and or kind 99 00:06:00,270 --> 00:06:04,560 of curate that presentation of content. And that part, I think, 100 00:06:04,560 --> 00:06:06,210 is the part that you know, that's where you're seeing some 101 00:06:06,210 --> 00:06:09,420 of the technology players try to play a role. It's interesting, 102 00:06:08,000 --> 00:06:12,830 Wendy: I spent actually, myself and several about team we spent 103 00:06:12,830 --> 00:06:18,050 last week couple of days facilitating an event with one 104 00:06:18,050 --> 00:06:22,700 of the retailers and their newly formed retail media network of 105 00:06:22,700 --> 00:06:28,040 about a retail and media team, so far, 14 people, and soon to 106 00:06:28,040 --> 00:06:32,810 be even more, so from the ground up. And it was fascinating, 107 00:06:32,810 --> 00:06:37,730 because our role was to remind them that actually what they do 108 00:06:37,730 --> 00:06:42,620 in the end has to deliver value to the shopper. So not just 109 00:06:42,620 --> 00:06:46,460 okay, we want to put an ad here or push out a coupon here or 110 00:06:46,460 --> 00:06:49,910 whatever. But actually, if you don't bring value to the 111 00:06:49,910 --> 00:06:55,040 shopper, stored online, whatever it is, then you can charge the 112 00:06:55,040 --> 00:06:58,040 vendors that for a long time, but the shopper is going to get 113 00:06:58,040 --> 00:07:01,550 pretty annoyed about the over whelming amount of clutter in 114 00:07:01,550 --> 00:07:04,220 their brain. And I say, so it was really interesting. And what 115 00:07:04,220 --> 00:07:07,370 we actually did was one of our retail safaris, we sort of 116 00:07:07,370 --> 00:07:11,720 facilitated a day. But then we took them into places, not 117 00:07:11,720 --> 00:07:16,040 necessarily competitive type stores, places that were using 118 00:07:16,220 --> 00:07:20,690 different in person, digital and physical tools to engage 119 00:07:20,690 --> 00:07:24,200 shoppers. So we went everywhere, from banks, to museums, to 120 00:07:24,200 --> 00:07:26,750 regular stores to see how they're actually engaging. So it 121 00:07:26,750 --> 00:07:29,120 was it was interesting on several levels, one that there 122 00:07:29,120 --> 00:07:32,600 were 40 people who didn't basically exist in the space, 123 00:07:32,720 --> 00:07:36,740 you know, six months ago. And just the focus, which I thought 124 00:07:36,740 --> 00:07:40,070 was impressive on. Remember, we've got to bring value to the 125 00:07:40,070 --> 00:07:40,520 shopper. 126 00:07:40,710 --> 00:07:43,260 Justin: Yeah. And we're still early days. Right? What's 127 00:07:43,260 --> 00:07:46,320 interesting here is, you know, back to your first question, 128 00:07:46,320 --> 00:07:49,890 it's it is real, and there are real solutions for it. But how 129 00:07:49,890 --> 00:07:54,510 do you deploy it in a way that still fits with the brand set in 130 00:07:54,510 --> 00:07:57,330 the store? You don't? I mean, there's still fits with how the 131 00:07:57,330 --> 00:08:00,330 experiences are you want the experience to be in the store? 132 00:08:00,360 --> 00:08:03,030 So I think there's some work to be done there. And then how do 133 00:08:03,030 --> 00:08:07,050 you use the data? And also, on the consumer product side, 134 00:08:07,110 --> 00:08:10,140 you're probably going to take some dollars out of your trade 135 00:08:10,140 --> 00:08:13,500 spend and put it here. So like, where does that bucket of money 136 00:08:13,500 --> 00:08:16,080 come from? Is it net new dollars? Or is it you're 137 00:08:16,080 --> 00:08:19,050 shifting money from other typical buckets where you might 138 00:08:19,050 --> 00:08:21,270 spend trade dollar? So I think that's going to be interesting 139 00:08:21,270 --> 00:08:22,290 to see how that plays out. 140 00:08:22,300 --> 00:08:24,880 Wendy: Yeah. And actually, we accosted I'm always shopping to 141 00:08:24,880 --> 00:08:28,720 pick them the store, shoppers and others and we accosted a CPG 142 00:08:28,720 --> 00:08:31,510 fellow who was in one of the stores and said, What are you 143 00:08:31,510 --> 00:08:35,650 doing? And he said, Well, it's an add. And I said, Oh, lucky 144 00:08:35,650 --> 00:08:38,710 you because the brand people were going to have that budget, 145 00:08:38,710 --> 00:08:40,720 and he was going to keep his trade spend. And they said, 146 00:08:40,720 --> 00:08:43,060 Well, I'll talk to you in a few months cynical Wendy, let's see 147 00:08:43,060 --> 00:08:44,890 what that looks like. But anyway, but you're right 148 00:08:44,920 --> 00:08:46,180 question to be asked. Yeah, 149 00:08:46,180 --> 00:08:47,410 Justin: it'll be interesting to see. 150 00:08:47,590 --> 00:08:48,820 Wendy: I think that's true. 151 00:08:48,910 --> 00:08:51,310 Justin: Like, yes, the retailers are hoping it's an end, 152 00:08:51,490 --> 00:08:54,910 additional income stream that's those retailers will be hoping 153 00:08:54,910 --> 00:08:55,330 for that. 154 00:08:55,600 --> 00:08:58,300 Wendy: Of course, always and right. We love them desperately. 155 00:08:58,300 --> 00:09:01,000 But it's always an add. The other thing you talked about, 156 00:09:01,000 --> 00:09:03,670 and when I first read it in the piece you wrote, I 157 00:09:03,700 --> 00:09:07,360 misinterpreted because you talked about immersiveness. And 158 00:09:07,360 --> 00:09:10,840 I immediately thought, oh, immersion, oh, this is where I 159 00:09:10,840 --> 00:09:15,280 walk into an amazing physical space. And I can smell things 160 00:09:15,280 --> 00:09:18,310 and taste things and see things and touch and feel and all of 161 00:09:18,310 --> 00:09:21,970 that. And then I realized you're actually talking about more 162 00:09:21,970 --> 00:09:24,850 digital immersion and the infamous second word for the 163 00:09:24,850 --> 00:09:28,990 bingo card. Metaverse, right? And other things. So again, 164 00:09:28,990 --> 00:09:33,430 Metaverse, yes, no, come in, go going. Who the hell flip the 165 00:09:33,430 --> 00:09:34,900 coin. What's the story here? 166 00:09:35,170 --> 00:09:39,040 Justin: Okay, so yeah, immersive is another buzzword for the year 167 00:09:39,070 --> 00:09:43,120 and parts of it are real. So in the definition of how I wrote 168 00:09:43,120 --> 00:09:46,210 about this, I talked about personalization. I talked about 169 00:09:46,240 --> 00:09:50,140 AR and VR, which are real. I talked about virtual stores 170 00:09:50,140 --> 00:09:53,980 virtual try-on, which there are some great examples of those out 171 00:09:53,980 --> 00:09:58,420 there and 3D images is really taking new life now for E 172 00:09:58,420 --> 00:10:02,650 commerce shopping. Even virtual stores for consumer goods brands 173 00:10:02,650 --> 00:10:05,380 like you could have a store without having actual store 174 00:10:05,380 --> 00:10:08,950 where you could curate products for a consumer or a customer to 175 00:10:08,950 --> 00:10:12,460 buy. Okay, so all of those things I mentioned are real and 176 00:10:12,490 --> 00:10:16,510 evolving. And so what we have seen over the last 12 months is 177 00:10:16,510 --> 00:10:20,830 a real shift back into immersive experiences in store and online. 178 00:10:20,830 --> 00:10:24,130 So the things I just mentioned, most of those are ecommerce or 179 00:10:24,160 --> 00:10:27,970 online technologies. And like the thing you said at the 180 00:10:27,970 --> 00:10:31,360 beginning around the look and feel and smell and layout and 181 00:10:31,360 --> 00:10:34,630 design and like checkout technology, there's a lot of 182 00:10:34,630 --> 00:10:37,660 work happening around the store again, in store, like it's very 183 00:10:37,660 --> 00:10:41,170 exciting. And so on both sides, there is this whole idea of 184 00:10:41,170 --> 00:10:44,740 immersive and like experiential focus around the guest or the 185 00:10:44,740 --> 00:10:49,360 customer Metaverse, very exciting topic. I always ask 186 00:10:49,480 --> 00:10:53,050 groups that I'm talking to to how many of you are testing 187 00:10:53,050 --> 00:10:55,420 this? How many of you are using this? How many of you are not 188 00:10:55,420 --> 00:10:59,170 going to think it's not gone down the list? The jury's still 189 00:10:59,170 --> 00:11:03,160 out in terms of how to use it in a constructive and profitable 190 00:11:03,160 --> 00:11:06,790 way. A lot of experimentation happening around it. I'll tell 191 00:11:06,790 --> 00:11:11,320 you in lots of technology partners making up solutions for 192 00:11:11,320 --> 00:11:15,490 the metaverse, so I'd say it's still in the a lot of companies 193 00:11:15,490 --> 00:11:18,400 are experimenting, investigating, looking to see 194 00:11:18,400 --> 00:11:21,820 what others are doing. That's largely what I would tell you is 195 00:11:21,820 --> 00:11:23,410 happening on the retail side. 196 00:11:23,720 --> 00:11:26,750 Wendy: So two things there. I'm going to do the metaverse first 197 00:11:26,750 --> 00:11:29,390 and then remind me about checkouts. Because I'll forget I 198 00:11:29,390 --> 00:11:31,670 know I forget that. But on the metaverse thing. What's 199 00:11:31,670 --> 00:11:34,700 interesting to me, we just finished some of our latest 200 00:11:34,700 --> 00:11:38,030 research, How America Shops® research, we called Plan 201 00:11:38,030 --> 00:11:41,570 Disruption on the shop of planning their own disruption 202 00:11:41,570 --> 00:11:45,110 and disrupting everybody else's life. And we saw about three out 203 00:11:45,110 --> 00:11:50,300 of 10 people report there in the metaverse with some considerable 204 00:11:50,300 --> 00:11:54,080 regularity. Three quarters of them are there every week, you 205 00:11:54,080 --> 00:11:55,940 know, doing lots of different things. Some of it's got a 206 00:11:55,940 --> 00:11:59,540 gaming, you know, whatever. What I found really interesting about 207 00:11:59,540 --> 00:12:03,290 it was actually what they were doing there, and from a shopping 208 00:12:03,290 --> 00:12:07,040 standpoint or beyond gaming directly, but some of them were 209 00:12:07,040 --> 00:12:10,550 doing things like buying clothes for their avatars, I get that, I 210 00:12:10,580 --> 00:12:14,210 want my avatar looking fabulous in Nike or taxon or something. 211 00:12:14,600 --> 00:12:18,200 But the other was concepts, which I thought was really 212 00:12:18,200 --> 00:12:20,450 interesting, speaking about experiential, as well as 213 00:12:20,450 --> 00:12:24,230 immersive, to be at a concert. And the other couple that I 214 00:12:24,230 --> 00:12:27,680 found were interesting were exercise classes. So I had sort 215 00:12:27,680 --> 00:12:31,160 of the Peloton, Lululemon kind of thing and thinking how useful 216 00:12:31,160 --> 00:12:34,520 it is I do it on my bike now in some ways I do not but others 217 00:12:34,520 --> 00:12:39,710 do. What does that look like? And then the last one was pets, 218 00:12:39,740 --> 00:12:43,370 anything pets, which I found talks to a lot of different 219 00:12:43,370 --> 00:12:46,970 things, of course. But I just found the usage beyond the sort 220 00:12:46,970 --> 00:12:50,600 of obvious to that relevant, value oriented. 221 00:12:50,910 --> 00:12:52,830 Justin: I think it's really interesting because this is 222 00:12:52,830 --> 00:12:56,250 where you see capabilities come together that bring together 223 00:12:56,370 --> 00:13:00,270 digital or marketing and technology. And it's part of 224 00:13:00,270 --> 00:13:03,600 what has driven the real expansion and explosion and 225 00:13:03,630 --> 00:13:07,320 cloud capability in retail and consumer goods. And for the most 226 00:13:07,320 --> 00:13:10,890 part like retailers and CPG brands are behind in the whole 227 00:13:10,890 --> 00:13:14,610 cloud journey. But that has accelerated the last year, year 228 00:13:14,610 --> 00:13:17,670 and a half because of an interest in focus on some of 229 00:13:17,670 --> 00:13:19,530 these new capabilities and solutions. 230 00:13:19,000 --> 00:13:22,900 Wendy: Yeah, I mean, I can see it being a fashionista in my own 231 00:13:22,900 --> 00:13:27,790 way. You know, I can see that ability to be part of a fashion 232 00:13:27,790 --> 00:13:31,750 show, feeling like I'm there loving music being at a concert, 233 00:13:31,750 --> 00:13:34,840 things like that. So you can, it's important not to dismiss 234 00:13:34,840 --> 00:13:37,840 it. At this point in time. I'm thinking you're saying the same 235 00:13:37,840 --> 00:13:40,870 thing on all of that, that to the other technology in terms of 236 00:13:40,870 --> 00:13:46,210 the Mercer checkout. Of course, like other retail specialists, 237 00:13:46,240 --> 00:13:49,330 Chief shoppers, I was in the first Amazon Go store in 238 00:13:49,330 --> 00:13:52,960 Seattle, you know, it took me aback, I'd actually my last trip 239 00:13:52,960 --> 00:13:57,640 before the world closed down in 2020 was to was to Seattle, and 240 00:13:57,640 --> 00:14:01,600 I went back to the Go store. And in that first store now there 241 00:14:01,600 --> 00:14:03,850 was a maybe it was there the first time and I forgot because 242 00:14:03,850 --> 00:14:06,850 the line was so long, and there was a liquor department. And the 243 00:14:06,850 --> 00:14:09,820 thing that was interesting to me was it was manned there was a 244 00:14:09,820 --> 00:14:12,640 fellow in the liquor department because he had to check my card. 245 00:14:13,030 --> 00:14:17,200 Nice of him, check my card. But it struck me in two ways. One is 246 00:14:17,230 --> 00:14:21,070 I love the idea of go, I love the idea of walking in checking 247 00:14:21,070 --> 00:14:23,680 out feeling like I stole something but knowing I didn't 248 00:14:23,680 --> 00:14:27,460 have to even bother, right, it's me. But when I noticed in the 249 00:14:27,460 --> 00:14:29,650 store, I don't know if it's still there. But with the liquor 250 00:14:29,650 --> 00:14:33,130 department, you still had the ability to talk to somebody. And 251 00:14:33,130 --> 00:14:35,650 actually if I talked to him about wine and said, Oh, these 252 00:14:35,650 --> 00:14:38,080 are all Washington State wines or these are Oregon wines, why 253 00:14:38,200 --> 00:14:40,390 we had this fabulous conversation. So it was this 254 00:14:40,390 --> 00:14:45,700 amazing blend of you know, click and go. And yes, but if you 255 00:14:45,700 --> 00:14:49,570 wanted to, there was somebody to talk to and it felt so right. So 256 00:14:49,570 --> 00:14:51,700 I don't know how you feel about all of that with all the 257 00:14:51,880 --> 00:14:54,580 checkout technologies and some of the things that are emerging 258 00:14:54,580 --> 00:14:55,360 but all here 259 00:14:55,530 --> 00:14:59,100 Justin: well, so Yeah, another space or another word for 260 00:14:59,100 --> 00:15:02,850 everyone's for focus this year is frictionless, right? And when 261 00:15:02,850 --> 00:15:06,570 we talk about checkout technology or checkout function, 262 00:15:06,630 --> 00:15:10,530 the idea here is how do you take that part of the shopping 263 00:15:10,560 --> 00:15:15,000 process and make it simpler, easier, less friction, right for 264 00:15:15,000 --> 00:15:19,020 the guests in the store. And so hence why you've seen a real 265 00:15:19,020 --> 00:15:23,370 explosion or a real investment in for companies in new 266 00:15:23,550 --> 00:15:27,240 technologies, new ways of checking out and whatnot in 267 00:15:27,240 --> 00:15:30,930 store. So with Amazon, yes, there's Amazon, ghost stores, 268 00:15:30,960 --> 00:15:33,870 some of you have been to. And the way that that works in the 269 00:15:33,870 --> 00:15:38,370 Amazon store is you scan a QR code on your amazon.com app, it 270 00:15:38,370 --> 00:15:42,360 opens the door. And computer vision and sensors on the 271 00:15:42,360 --> 00:15:46,650 shelves will allow you to build a virtual basket of products or 272 00:15:47,220 --> 00:15:50,340 no basket and put it in your pocket. And then walk out when 273 00:15:50,340 --> 00:15:53,460 you just walk out. Hence the name, your credit card is 274 00:15:53,460 --> 00:15:55,920 charged for your Amazon account that that's the case in an 275 00:15:55,920 --> 00:15:59,670 Amazon Go store or an Amazon Fresh store, for example, our 276 00:15:59,670 --> 00:16:03,300 grocery concept. There are also other retailers though that use 277 00:16:03,300 --> 00:16:06,210 the just walk out setup than their store. So their store, 278 00:16:06,210 --> 00:16:09,720 it's called a store kit. And in those cases, you could use 279 00:16:09,720 --> 00:16:13,830 Amazon one which allows you to validate with your palm that's 280 00:16:13,830 --> 00:16:18,060 linked to a credit card, or use just a credit card to enter the 281 00:16:18,090 --> 00:16:21,810 store. And then again, build your virtual cart and just walk 282 00:16:21,810 --> 00:16:25,560 out and your credit card is charged. So that space, there's 283 00:16:25,560 --> 00:16:29,820 a lot of new interest in it and checkout, but also other parts 284 00:16:29,820 --> 00:16:32,880 of the store. If you go to one of our fresh stores, you'll see 285 00:16:32,910 --> 00:16:36,600 Alexa devices and you can say hey, Alexa, where do I find the 286 00:16:36,780 --> 00:16:40,410 low fat, Jeff peanut butter, and it tells you the aisle and the 287 00:16:40,440 --> 00:16:44,580 shelf number and you're instantly right. Amazon also in 288 00:16:44,580 --> 00:16:47,910 the Whole Foods stores and a select Whole Foods source and 289 00:16:47,910 --> 00:16:51,870 select fresh stores as new dash cards where you push a cart and 290 00:16:51,870 --> 00:16:55,350 scan product, put it in your cart and just walk out. There's 291 00:16:55,350 --> 00:16:58,260 a lot of innovation happening around the store. It's an 292 00:16:58,260 --> 00:17:01,110 exciting time in retail, it's exciting time in store as much 293 00:17:01,110 --> 00:17:04,530 as online. And I think we'll see a lot more just across the 294 00:17:04,530 --> 00:17:07,680 industry in terms of investments. One thing though, 295 00:17:07,860 --> 00:17:11,640 in order to make a lot of this work and putting tech in legacy 296 00:17:11,640 --> 00:17:14,940 stores, and retail is the infrastructure, so you got to 297 00:17:14,940 --> 00:17:18,300 have, you know, the bandwidth and the capability to support 298 00:17:18,300 --> 00:17:21,570 new technology. So where you see this really happening is in 299 00:17:21,570 --> 00:17:24,090 retrofits and new store build outs. 300 00:17:24,210 --> 00:17:26,370 Wendy: And that is one of the things I mean we know as 301 00:17:26,370 --> 00:17:29,730 shoppers right, we go into a store, before we did this 302 00:17:29,730 --> 00:17:33,300 immersion the other day, as I mentioned, we made everybody 303 00:17:33,300 --> 00:17:37,350 download any of the apps any of the things they would need from 304 00:17:37,350 --> 00:17:40,410 where they were because we were in there in a space that had 305 00:17:40,410 --> 00:17:43,980 very good Wi Fi. And then because we knew that, you know, 306 00:17:43,980 --> 00:17:46,140 you walk into a store and you're trying to look something up, or 307 00:17:46,140 --> 00:17:48,810 you're trying to you know, whatever. And it's exactly what 308 00:17:48,810 --> 00:17:52,380 you said that the infrastructure is not there. I do recall, it is 309 00:17:52,380 --> 00:17:54,420 interesting, because I remember I think one of the first 310 00:17:54,420 --> 00:17:57,750 AmazonFresh stores in I think was Silver Lake or somewhere in 311 00:17:57,750 --> 00:18:01,620 Los Angeles going into and you know, loving the idea of I can 312 00:18:01,620 --> 00:18:04,470 say okay, you know, what will I make to dentists? And I click 313 00:18:04,470 --> 00:18:07,110 here, Alexa, I shouldn't say that too loudly. Right? 314 00:18:07,230 --> 00:18:10,020 Something will go on in the house, and we'll hear 315 00:18:10,020 --> 00:18:13,740 everything. But that whole piece and then thinking about novelty 316 00:18:13,740 --> 00:18:18,270 versus usefulness? And how does that help me in all of that? So 317 00:18:18,270 --> 00:18:19,590 I think you know, as you say, 318 00:18:19,800 --> 00:18:22,020 Justin: That's right. For example, though, if you had like 319 00:18:22,200 --> 00:18:25,350 one interesting thing. On the new dash cards, if you have your 320 00:18:25,350 --> 00:18:28,380 shopping list, there are like a shopping list of use before 321 00:18:28,590 --> 00:18:32,550 you're logged into the retailers app, for example, it could save 322 00:18:32,550 --> 00:18:34,980 you time it could show you things that you've bought before 323 00:18:34,980 --> 00:18:37,860 also show you like what's on sale or coupons are available. 324 00:18:37,860 --> 00:18:41,940 So there is a mash up of digital and physical that I think is 325 00:18:41,940 --> 00:18:45,240 coming in store. And like I said it's really exciting time to be 326 00:18:45,240 --> 00:18:48,750 in our industry. Just the last couple really a year or two 327 00:18:48,750 --> 00:18:51,930 we've just seen an acceleration and investment in innovation. 328 00:18:52,080 --> 00:18:55,890 Wendy: Yeah, which is exciting and leads me to the next piece 329 00:18:55,890 --> 00:18:58,950 that you wrote about on that we've been looking at a lot is 330 00:18:59,040 --> 00:19:02,280 the role of the store. So there was that, you know, massive Oh 331 00:19:02,280 --> 00:19:05,070 my heavens and stories dead you know, all of that. Then we went 332 00:19:05,070 --> 00:19:07,200 through the pandemic and we realized the only person we ever 333 00:19:07,200 --> 00:19:10,230 talk to was the frontline worker at the drugstore at the 334 00:19:10,230 --> 00:19:13,680 supermarket, right? They were grateful when my AmazonFresh did 335 00:19:13,680 --> 00:19:17,040 not get delivered or whatever, don't let's have not, won't have 336 00:19:17,040 --> 00:19:19,260 that conversation. I'm not blaming you for the ills of the 337 00:19:19,260 --> 00:19:22,860 world with an eye on it. But that whole just sense of the 338 00:19:22,860 --> 00:19:26,880 store we know in our life, at least long ish life, that most 339 00:19:26,880 --> 00:19:31,680 things don't go away. They just keep evolving or revolving. And 340 00:19:31,710 --> 00:19:34,710 what I think is so interesting is again, in some of the work 341 00:19:34,710 --> 00:19:38,820 we've done this whole focus on the role of the store and to 342 00:19:38,820 --> 00:19:41,670 your point, one of the things we've seen in this new work is 343 00:19:41,850 --> 00:19:45,120 you know the fact the store becoming kind of Discovery Zone 344 00:19:45,300 --> 00:19:49,560 again, you know, I can get so much of the basics done, online 345 00:19:49,590 --> 00:19:52,710 delivered or pick up at the curb, whatever, get it off the 346 00:19:52,710 --> 00:19:56,640 list and then now's the time. I can go if I'm looking for 347 00:19:56,640 --> 00:20:00,000 something new. I can go into the store and hopefully it's well 348 00:20:00,000 --> 00:20:03,630 merchandising all of that. But that, to me is an interesting 349 00:20:03,750 --> 00:20:06,450 evolution of the store beyond the you know, I've run out of 350 00:20:06,450 --> 00:20:10,350 milk quickly run in, I can't get my delivery in two hours. 351 00:20:10,560 --> 00:20:12,810 Justin: Agree, it'd be interesting to be interesting to 352 00:20:12,810 --> 00:20:15,960 watch loyalty. Also, you know, we haven't, like loyalty 353 00:20:15,960 --> 00:20:19,320 programs have had their highs and lows over the years. So I 354 00:20:19,320 --> 00:20:22,380 think that's an area that keep an eye on I didn't write about 355 00:20:22,380 --> 00:20:24,780 it, and but it's one of those things I think is worth 356 00:20:24,780 --> 00:20:28,320 watching. Because you're gonna have more and more data on the 357 00:20:28,320 --> 00:20:30,720 shopper, like the retailer is gonna have more data on the 358 00:20:30,720 --> 00:20:33,120 shopper. So like, what can they do with that data that's unique 359 00:20:33,120 --> 00:20:36,090 and differentiated and can create a better experience. So I 360 00:20:36,090 --> 00:20:39,480 think loyalty will be something to take a look at this year to 361 00:20:39,810 --> 00:20:41,760 relate to this whole in store experience. 362 00:20:41,910 --> 00:20:44,760 Wendy: And I often think about the way retailers have talked 363 00:20:44,760 --> 00:20:48,330 about loyalty, particularly mass retailers, not to dump on them, 364 00:20:48,330 --> 00:20:51,930 but is that it's been more of discount loyalty, you know, it's 365 00:20:51,930 --> 00:20:55,020 been more about okay, I know you bought this, well, maybe, you 366 00:20:55,020 --> 00:20:57,300 know, yes, you'll buy that. And it's all about Here's a coupon, 367 00:20:57,300 --> 00:21:01,170 Here's a coupon, rather than, you know, that whole picture. 368 00:21:01,170 --> 00:21:03,810 And it sort of talks to where you got to when you talked 369 00:21:03,810 --> 00:21:07,890 about, you know, consumer 360, you know, I'm happy to share my 370 00:21:07,920 --> 00:21:12,030 data, I'm happy to share my information, if you give me back 371 00:21:12,030 --> 00:21:16,410 some solutions to things and please take it off my brain out 372 00:21:16,410 --> 00:21:19,350 of my brain. So I don't have to remember that anymore. So I 373 00:21:19,350 --> 00:21:21,750 think that whole piece and I can't think what was it called 374 00:21:21,750 --> 00:21:24,540 Amazon dashboards, the thing on the fridge that told you you're 375 00:21:24,540 --> 00:21:28,920 out of whatever, milk or something, that thing, p&g did 376 00:21:28,920 --> 00:21:31,140 something with it at one point, but you know, those sorts of 377 00:21:31,140 --> 00:21:33,360 tools that say to you, you who, Wendy, you're going to be able 378 00:21:33,360 --> 00:21:35,430 to milk in about two minutes. And you know, if you don't have 379 00:21:35,430 --> 00:21:37,440 milk for your coffee, tomorrow, you're going to be really 380 00:21:37,440 --> 00:21:42,540 crappy. So that integration of all of that data that you're 381 00:21:42,540 --> 00:21:47,520 talking about that we're seeing come to fruition now, that feels 382 00:21:47,520 --> 00:21:52,290 like delivered in the right way, I as a shopper get a much more 383 00:21:52,710 --> 00:21:57,240 personalized experience that could build my loyalty to 384 00:21:57,480 --> 00:22:01,200 whomever. Am I reading that the right way based on your view 385 00:22:01,200 --> 00:22:02,880 from 30,000 feet? 386 00:22:03,180 --> 00:22:06,570 Justin: Absolutely. And that's why also you're seeing more 387 00:22:06,630 --> 00:22:10,440 technology enablement around personalization. So what you 388 00:22:10,440 --> 00:22:13,710 might want to buy if you have bought this before, and beyond 389 00:22:13,710 --> 00:22:15,720 that, using artificial intelligence and machine 390 00:22:15,720 --> 00:22:18,750 learning about what your buying patterns are, you're seeing more 391 00:22:18,750 --> 00:22:22,470 and more curated experiences with the that running in the 392 00:22:22,470 --> 00:22:25,260 background. And that's only going to increase what now that 393 00:22:25,260 --> 00:22:27,540 you have better technology to support it. 394 00:22:27,780 --> 00:22:29,940 Wendy: Yeah, I was thinking about that the other day, 395 00:22:29,940 --> 00:22:32,880 because heaven forbid, sorry, I actually ordered from Fresh 396 00:22:32,880 --> 00:22:36,060 Direct in the city because they were the first step at some 397 00:22:36,060 --> 00:22:39,210 point. And what always annoys me is they give me my list, right 398 00:22:39,210 --> 00:22:41,790 of everything I bought, and the last whatever I can reorder from 399 00:22:41,790 --> 00:22:45,840 my list, but they haven't reminded me is you haven't 400 00:22:45,840 --> 00:22:49,080 bought this for three months. And this seems to be your usage 401 00:22:49,080 --> 00:22:51,900 pattern. Don't forget, I'm like, that's really annoying. Why 402 00:22:51,900 --> 00:22:55,200 don't they do that? So you know, that sort of now I expect a lot 403 00:22:55,200 --> 00:22:58,680 more from them than just showing up on time kind of thing with 404 00:22:58,680 --> 00:23:00,960 all of that. So there's no question to that. I'm just 405 00:23:00,960 --> 00:23:03,870 venting because, you know, I just have you here. And I can 406 00:23:03,870 --> 00:23:06,720 vent on all of that. The last piece of all of this. I mean, 407 00:23:06,750 --> 00:23:09,240 obviously, there's so many other things going on. I mean, you 408 00:23:09,240 --> 00:23:12,750 talk about supply chain issues and things throwing up, you seem 409 00:23:12,750 --> 00:23:17,250 very optimistic about where things are headed in terms of 410 00:23:17,250 --> 00:23:20,460 some of these macro economic issues and technology issues. 411 00:23:20,550 --> 00:23:21,540 Did I read that right? 412 00:23:21,660 --> 00:23:26,010 Justin: So I'm not an economist, I will just say that we're 413 00:23:26,010 --> 00:23:30,090 seeing a lot of investment and interest in innovation on the 414 00:23:30,090 --> 00:23:34,980 consumer goods side and retail side. And CPG companies have 415 00:23:35,040 --> 00:23:38,040 really been focused on supply chain the last two or three 416 00:23:38,040 --> 00:23:41,070 years. So and you can see, there's not a lot of innovation, 417 00:23:41,070 --> 00:23:43,800 but where the innovation is on that industries and the new 418 00:23:43,980 --> 00:23:47,280 upstarts, the new food and beverage brands, the new makers 419 00:23:47,280 --> 00:23:50,430 of small consumer products. And so there's a lot of excitement 420 00:23:50,430 --> 00:23:54,780 there. And energy. on the retail side, like I said, last year was 421 00:23:54,780 --> 00:23:58,740 a lot of, hey, can you help us with inventory, visibility, and 422 00:23:58,800 --> 00:24:02,760 help us even with delivery help us get on technology, so we can 423 00:24:02,790 --> 00:24:05,550 run some of these things we need to be running? And I'd say the 424 00:24:05,550 --> 00:24:08,760 last six, eight months, six to 12 months? It's then and now 425 00:24:08,760 --> 00:24:11,430 it's like, what about immersive experiences? What about 426 00:24:11,430 --> 00:24:14,340 frictionless checkout? What about using computer vision in 427 00:24:14,340 --> 00:24:17,070 the store? What about leveraging data analytics in new in 428 00:24:17,070 --> 00:24:20,010 different ways? So the conversations have shifted, 429 00:24:20,000 --> 00:24:24,920 Wendy: that there was so many logistical pressures on people 430 00:24:24,950 --> 00:24:28,190 over the last couple of years that we see. That's why I think 431 00:24:28,190 --> 00:24:30,830 we're doing more and more of our Retail Safari®, people want to 432 00:24:30,830 --> 00:24:33,410 get out either we do them virtually, and we show them 433 00:24:33,410 --> 00:24:36,440 what's emerging around the world virtually, if they can't get 434 00:24:36,440 --> 00:24:40,370 out, or in a market. Let's go. Let's go and look at things 435 00:24:40,370 --> 00:24:44,120 around a topic or an issue, as I said the other day. So you see 436 00:24:44,120 --> 00:24:48,020 that we're sort of getting out the interest in looking at the 437 00:24:48,020 --> 00:24:51,800 new and solving problems in innovative ways, which I think 438 00:24:51,800 --> 00:24:55,010 is is the really encouraging piece. That's also the sort of 439 00:24:55,310 --> 00:24:58,490 recognition of there are a lot of issues that we need to 440 00:24:58,490 --> 00:25:01,850 address. So let's get to it. and move forward, which I think is 441 00:25:01,850 --> 00:25:05,090 encouraging between retailers and manufacturers coming 442 00:25:05,090 --> 00:25:08,480 together to solve, in some ways, bigger issues, whether it's 443 00:25:08,480 --> 00:25:11,600 health and wellness, whether its purpose, sustainability, all of 444 00:25:11,600 --> 00:25:15,140 those things bundled up. So I'm with you, I actually think that, 445 00:25:15,230 --> 00:25:18,290 you know, when you lock us away for three years, and we go 446 00:25:18,290 --> 00:25:22,100 through terrible times, then hopefully that spark is still 447 00:25:22,100 --> 00:25:25,010 there to be encouraged. There are a couple of other things on 448 00:25:25,010 --> 00:25:29,000 my list. One is, you know, of course, the infamous AI Chat 449 00:25:29,270 --> 00:25:32,990 GPT, which everybody seems to be like, Oh, my dear, all the 450 00:25:32,990 --> 00:25:37,760 school children now will never write a report or a summer 451 00:25:37,760 --> 00:25:42,800 holiday, something without going on to ChatGPT, right. So there's 452 00:25:42,800 --> 00:25:45,620 like, oh, the world will fall apart. I'm like, okay, all 453 00:25:45,620 --> 00:25:48,770 right, seven, another thing. So that's another topic at hand. 454 00:25:48,770 --> 00:25:51,740 Right. But that just talks to more AI and different learning? 455 00:25:51,830 --> 00:25:54,020 Is that how you feel it? Or are you like, Oh, my heavens, the 456 00:25:54,020 --> 00:25:54,920 world is about to end. 457 00:25:55,190 --> 00:25:58,490 Justin: The proof is what you just said, it's been amazing how 458 00:25:58,490 --> 00:26:03,440 fast that topic has run around the last couple of weeks, weeks. 459 00:26:03,650 --> 00:26:06,380 And so yeah, I think be interesting to see, like, early 460 00:26:06,380 --> 00:26:10,790 days, and we're dealing with new and different technology that no 461 00:26:10,790 --> 00:26:14,090 one has really dealt with so or had to think about how to 462 00:26:14,210 --> 00:26:17,930 leverage. And so the question is, like, on things like that, 463 00:26:17,930 --> 00:26:19,670 and even some of the other technologies we've talked about, 464 00:26:19,670 --> 00:26:25,190 like if you're a legacy or major retailer, how do you balance the 465 00:26:25,190 --> 00:26:30,380 new shiny object, but also potential value capabilities 466 00:26:30,380 --> 00:26:34,550 with the fact that you're sitting on old ERP systems that 467 00:26:34,550 --> 00:26:38,000 are expensive to operate? And they'll change? You know, how do 468 00:26:38,000 --> 00:26:41,570 you think about customer experience with some of the new 469 00:26:41,600 --> 00:26:44,570 these new personalization capabilities? And in the 470 00:26:44,570 --> 00:26:47,420 immersive capabilities, right? How do you think about that, 471 00:26:47,480 --> 00:26:50,390 when you are balancing that with some of the operational 472 00:26:50,390 --> 00:26:53,330 challenges of getting inventory and sourcing and whatnot. So 473 00:26:53,630 --> 00:26:55,760 definitely good to keep an eye on what's happening in the 474 00:26:55,760 --> 00:26:58,700 market. And then in what you're seeing is from the retailers 475 00:26:58,700 --> 00:27:01,100 that are doing it? Well, they are looking, they're 476 00:27:01,100 --> 00:27:03,260 investigating, they're experimenting, they're trying 477 00:27:03,260 --> 00:27:06,980 things that are days and weeks of testing, versus months and 478 00:27:06,980 --> 00:27:07,610 years, 479 00:27:07,940 --> 00:27:11,360 Wendy: Are there retailers around the world, or CPG 480 00:27:11,360 --> 00:27:15,140 companies around the world that you think are really doing 481 00:27:15,140 --> 00:27:18,500 interesting stuff that we should all kind of lean into and think 482 00:27:18,500 --> 00:27:18,920 about? 483 00:27:19,130 --> 00:27:21,980 Justin: there. Yeah, there's a lot of great innovations 484 00:27:21,980 --> 00:27:25,970 happening in the industry. There's no like, one shining 485 00:27:26,000 --> 00:27:29,450 star, you know, for everything. But when you think about it, 486 00:27:29,450 --> 00:27:33,170 like for example, some consumer goods brands have really jumped 487 00:27:33,170 --> 00:27:36,350 in around like this whole connected factory idea and using 488 00:27:36,350 --> 00:27:39,620 data analytics across factory in an understanding and being able 489 00:27:39,620 --> 00:27:43,880 to drive better decisions. An example of a customer on the 490 00:27:43,880 --> 00:27:46,730 retail side that was not happy with their own point of sale 491 00:27:46,730 --> 00:27:49,970 systems, they develop their own 4000 stores in Carter's. And if 492 00:27:49,970 --> 00:27:53,120 you listen to the CIO from Carter's, tell that story, 493 00:27:53,210 --> 00:27:56,240 you'll see they said, I'm not finding what I need here, I'm 494 00:27:56,240 --> 00:27:59,000 gonna go build it in a flexible way, and then roll it out. And 495 00:27:59,000 --> 00:28:01,790 it's working very well for them in so many different ways. 496 00:28:01,970 --> 00:28:04,610 Wendy: What you're saying here, as we look at what we call 497 00:28:04,610 --> 00:28:08,840 Future Shop, and the future of retail, this is a moment, this 498 00:28:08,840 --> 00:28:13,280 is another moment of many, but a moment when there is huge 499 00:28:13,280 --> 00:28:17,150 opportunity and the ability to think about these things and 500 00:28:17,360 --> 00:28:23,150 innovative tests, trial and start refine, stop, go again, 501 00:28:23,270 --> 00:28:26,060 from product new talked about small brands, and the 502 00:28:26,060 --> 00:28:30,920 opportunity in the CPG space to develop new products that bring 503 00:28:30,920 --> 00:28:35,060 to market you know, through so many different types of media, 504 00:28:35,270 --> 00:28:38,420 the impact of social, I think all of those things, you know, 505 00:28:38,420 --> 00:28:41,510 as well as the role of the story and all of this. So it's 506 00:28:41,540 --> 00:28:44,720 certainly to us. And I think that's why you and I agree on 507 00:28:44,720 --> 00:28:48,590 most of this is that there's just this is a moment there for 508 00:28:48,590 --> 00:28:51,980 people to really engage and define what their future looks 509 00:28:51,980 --> 00:28:54,140 like, or at least test what their future looks like, and 510 00:28:54,140 --> 00:28:56,930 keep testing and testing and going. So I think that's the 511 00:28:56,930 --> 00:28:59,990 exciting piece. I will say one last thing to you, which has 512 00:28:59,990 --> 00:29:05,090 struck me of late, which is in all of this the role of people 513 00:29:05,270 --> 00:29:08,990 and I mean that particularly in the role of people in store, 514 00:29:09,350 --> 00:29:12,260 frontline people we learned that through the pandemic, but the 515 00:29:12,260 --> 00:29:15,560 people who are the brand at the store level, we were in 516 00:29:15,560 --> 00:29:19,310 Cincinnati doing some other innovation work with retail and 517 00:29:19,310 --> 00:29:22,460 CPG clients and the thing that stood out to me beyond the 518 00:29:22,460 --> 00:29:26,870 amazing Ocado distribution center robotics was the people 519 00:29:26,870 --> 00:29:31,730 who staff REI or the store manager at Five Below and these 520 00:29:31,730 --> 00:29:34,880 people were so passionate about what they do and love what they 521 00:29:34,880 --> 00:29:40,550 do that you realize that's still old world laying out of hands 522 00:29:40,550 --> 00:29:43,910 makes a difference. So in your digital world, your view from 523 00:29:43,910 --> 00:29:46,340 the cloud, you have the same sense of that or 524 00:29:46,360 --> 00:29:48,460 Justin: you know, here's what I would say yeah, I was just 525 00:29:48,460 --> 00:29:52,420 thinking as we were talking only two plus years ago the the hot 526 00:29:52,420 --> 00:29:56,110 topic was stores are we're going to be closing how can we drive 527 00:29:56,110 --> 00:29:59,260 revenue we're having to shift to all ecommerce because people 528 00:29:59,260 --> 00:30:02,500 aren't going to stores and, you know, oh my gosh, and we were 529 00:30:02,500 --> 00:30:06,910 counting store closings, if you remember. And here we are now, 530 00:30:07,180 --> 00:30:11,200 February 2023. And stores are opening, not they're open, but 531 00:30:11,200 --> 00:30:14,620 they're growing retailers are investing in experience and in 532 00:30:14,620 --> 00:30:20,350 store and online. E commerce is level above where it was pre 533 00:30:20,350 --> 00:30:23,650 COVID markets are still opening around the world that we are 534 00:30:23,650 --> 00:30:27,550 going to see impacts from. And so my only thought and when I 535 00:30:27,550 --> 00:30:30,130 talked to customers, like make sure to be thinking about how do 536 00:30:30,130 --> 00:30:35,080 you first don't go back to the old way of siloed work, but also 537 00:30:35,110 --> 00:30:38,740 position yourself to have the flexibility to spin things up 538 00:30:38,740 --> 00:30:41,500 and down and try things that pull back on things more quickly 539 00:30:41,500 --> 00:30:44,230 in the future. So give yourself some of the flexibility to 540 00:30:44,230 --> 00:30:47,050 operate differently because you don't know what will be the next 541 00:30:47,050 --> 00:30:51,280 thing. That's the way I've been thinking about the go forward is 542 00:30:51,340 --> 00:30:53,890 it's great that we're celebrating a lot of growth and 543 00:30:53,920 --> 00:30:56,530 new experience things and innovation is just 100% make 544 00:30:56,530 --> 00:30:59,530 sure to position yourself for flexibility in the future. Well, 545 00:30:59,530 --> 00:30:59,740 that 546 00:30:59,740 --> 00:31:02,530 Wendy: is a perfect wrap up now. I don't even have to do a wrap 547 00:31:02,530 --> 00:31:06,880 up because you just did it as I knew you would. So I thank you. 548 00:31:06,910 --> 00:31:10,270 I feel like you're my new best friend, which is really lovely. 549 00:31:10,360 --> 00:31:10,810 So 550 00:31:10,870 --> 00:31:14,350 Justin: I am I'm all in I no I am thrilled 551 00:31:14,380 --> 00:31:16,840 Wendy: come along on this journey right of redefining the 552 00:31:16,840 --> 00:31:19,870 future or testing our way through the future. So thank you 553 00:31:19,870 --> 00:31:21,850 for this Justin. It's really been a pleasure. 554 00:31:22,030 --> 00:31:24,010 Justin: Yeah, I'm looking forward to doing it again in the 555 00:31:24,010 --> 00:31:25,240 future. Thanks, Wendy. 556 00:31:25,330 --> 00:31:28,120 Wendy: Indeed. Look forward to seeing you happy travels, as 557 00:31:28,120 --> 00:31:29,830 always, see you in the future.