1 00:00:02,920 --> 00:00:07,240 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:07,680 --> 00:00:10,799 Speaker 2: Whole Foods Market is going small. The Amazon owned Grosser 3 00:00:10,920 --> 00:00:13,880 Speaker 2: is opening new small format stores aimed at serving quick 4 00:00:13,960 --> 00:00:16,520 Speaker 2: trip urban consumers. You've heard this throughout the day from 5 00:00:16,640 --> 00:00:20,200 Speaker 2: Charlie Pellett. It's called Whole Foods Market Daily Shop. The 6 00:00:20,239 --> 00:00:23,720 Speaker 2: stores will range between seven thousand to fourteen thousand square feed, 7 00:00:24,160 --> 00:00:26,840 Speaker 2: so to put that in perspective, a typical whole food 8 00:00:26,920 --> 00:00:31,479 Speaker 2: store averages about forty thousand square feed, so pretty small 9 00:00:31,480 --> 00:00:33,879 Speaker 2: compared to a typical store. The Daily Shop is also 10 00:00:33,920 --> 00:00:36,880 Speaker 2: going to offer similar but slimmer assortment of products, ranging 11 00:00:36,880 --> 00:00:40,280 Speaker 2: from fresh produce and frozen food to prepackaged meals in 12 00:00:40,320 --> 00:00:42,640 Speaker 2: the three sixty five branded products, but they will not 13 00:00:42,680 --> 00:00:46,040 Speaker 2: have buffet bars or meat counters. For more, we go 14 00:00:46,120 --> 00:00:49,360 Speaker 2: to Christina Minorti, Executive vice president of Growth and Development 15 00:00:49,400 --> 00:00:52,240 Speaker 2: at Whole Foods Market and Amazon. She joins us here 16 00:00:52,440 --> 00:00:55,240 Speaker 2: in the Bloomberg Interactive Brokers studio. Christina, how are you. 17 00:00:55,320 --> 00:00:56,880 Speaker 1: I'm great, Thank you for having me today. 18 00:00:56,960 --> 00:01:00,400 Speaker 2: Well, thanks so much for joining us. So remember this 19 00:01:00,440 --> 00:01:02,840 Speaker 2: is not the first time that Amazon has experimented with 20 00:01:02,880 --> 00:01:06,160 Speaker 2: Whole Foods going smaller, or even Whole Foods has experimented 21 00:01:06,160 --> 00:01:09,160 Speaker 2: with it. So back in twenty sixteen, Whole Foods opened 22 00:01:09,160 --> 00:01:12,240 Speaker 2: smaller stores called three sixty five but by Whole Foods Market. 23 00:01:12,959 --> 00:01:15,840 Speaker 2: If consumers remember that, how is this different. 24 00:01:16,080 --> 00:01:17,960 Speaker 1: Well, thank you for bringing that one up. The three 25 00:01:18,000 --> 00:01:21,160 Speaker 1: sixty five store was actually before Amazon acquired us, and 26 00:01:21,520 --> 00:01:23,440 Speaker 1: it was a time when we really needed to work 27 00:01:23,480 --> 00:01:27,160 Speaker 1: on our value image prior to Amazon. And you know, 28 00:01:27,200 --> 00:01:29,319 Speaker 1: we learned a lot from the three sixty five. You know, 29 00:01:29,360 --> 00:01:31,520 Speaker 1: we did close them and not close them, but we 30 00:01:31,680 --> 00:01:33,440 Speaker 1: converted them over to Whole Food's markets. 31 00:01:33,240 --> 00:01:35,280 Speaker 2: So they made them like the main Whole food Yeah. 32 00:01:35,080 --> 00:01:38,160 Speaker 1: Into twenty nineteen. And this one's a little different because 33 00:01:38,160 --> 00:01:41,600 Speaker 1: the three sixty five stores were twenty five thousand bigger. Yeah, 34 00:01:41,640 --> 00:01:44,160 Speaker 1: so this is smaller. The idea around Whole Foods Market 35 00:01:44,240 --> 00:01:47,360 Speaker 1: daily Shop is really for a convenient shop. If we 36 00:01:47,480 --> 00:01:49,280 Speaker 1: learned one thing over the last few years, as you 37 00:01:49,320 --> 00:01:52,160 Speaker 1: were saying earlier, you love home shopping. You love it 38 00:01:52,200 --> 00:01:55,240 Speaker 1: being delivered to your house. People want things quickly, So 39 00:01:55,520 --> 00:01:57,880 Speaker 1: we envisioned for daily Shop is our customers will still 40 00:01:57,880 --> 00:02:00,600 Speaker 1: shop our regular stores here in Manhattan, but they'll have 41 00:02:00,680 --> 00:02:04,200 Speaker 1: another avenue to shop Whole Foods market. That's quick and easy. 42 00:02:04,280 --> 00:02:05,880 Speaker 1: If you want to come in and you need to 43 00:02:05,880 --> 00:02:07,640 Speaker 1: get something just for dinner tonight, or you're going to 44 00:02:07,720 --> 00:02:10,400 Speaker 1: have a dinner party, we'll have all of the items 45 00:02:10,400 --> 00:02:10,839 Speaker 1: that you need. 46 00:02:11,680 --> 00:02:14,720 Speaker 3: What's the difference, right, I'm one of those shoppers that 47 00:02:14,919 --> 00:02:17,320 Speaker 3: I go into a whole Foods or my local grocery 48 00:02:17,360 --> 00:02:20,440 Speaker 3: stores to look at all the cheeses and find a 49 00:02:20,480 --> 00:02:22,960 Speaker 3: new gem. And you know, I do it for fun 50 00:02:23,000 --> 00:02:29,200 Speaker 3: and it's my it's my therapy. So we'll come over 51 00:02:29,280 --> 00:02:33,600 Speaker 3: anytime to the fridge of stock sometimes to stock. Christina, 52 00:02:33,720 --> 00:02:34,880 Speaker 3: what can't you find. 53 00:02:34,720 --> 00:02:35,760 Speaker 1: At these places? 54 00:02:35,880 --> 00:02:38,600 Speaker 3: If if you're one of those people that likes to explore. 55 00:02:38,360 --> 00:02:40,560 Speaker 1: Yeah, everything you just mentioned, you'll be able to find 56 00:02:40,560 --> 00:02:43,280 Speaker 1: a daily shop. The difference is how we're delivering it 57 00:02:43,280 --> 00:02:45,840 Speaker 1: to the customer. So when you go into a typical foods, 58 00:02:46,040 --> 00:02:48,120 Speaker 1: you know we'll have a full service meat counter. This 59 00:02:48,200 --> 00:02:50,520 Speaker 1: store will have the same selection of meat. It just 60 00:02:50,560 --> 00:02:52,520 Speaker 1: won't be in the counter. It's how we're delivering it. 61 00:02:52,520 --> 00:02:54,440 Speaker 1: It's packaged. We'll still going to have all of our 62 00:02:54,480 --> 00:02:57,520 Speaker 1: beautiful cheese, and my refrigerator is the same lots of cheese, 63 00:02:57,639 --> 00:02:59,960 Speaker 1: so we'll still have the same selection. But it'll be 64 00:03:00,040 --> 00:03:03,000 Speaker 1: wrapped and ready to go again quick in, quick out. 65 00:03:03,160 --> 00:03:04,240 Speaker 1: That's the idea behind it. 66 00:03:04,320 --> 00:03:07,000 Speaker 2: So Amazon has owned Whole Foods for a number of 67 00:03:07,120 --> 00:03:09,480 Speaker 2: years at this point, and I think people in Manhattan 68 00:03:09,480 --> 00:03:12,919 Speaker 2: will be familiar with the Amazon Ghost stores. Is there 69 00:03:12,919 --> 00:03:15,440 Speaker 2: any sort of relationship or like learnings that you took 70 00:03:15,560 --> 00:03:19,239 Speaker 2: from what Amazon brought to Amazon Go in terms of technology, 71 00:03:19,240 --> 00:03:21,399 Speaker 2: in terms of consumer habits that you then brought over 72 00:03:21,520 --> 00:03:24,880 Speaker 2: to this version of Whole Foods. 73 00:03:24,960 --> 00:03:27,200 Speaker 1: Well, the Amazon Ghost stores, you know, we have them 74 00:03:27,240 --> 00:03:30,400 Speaker 1: in different cities and they're significantly smaller, they're only about 75 00:03:30,440 --> 00:03:32,720 Speaker 1: twenty five hundred square feet. But you know, that's what 76 00:03:32,760 --> 00:03:35,240 Speaker 1: I love so much about Whole Foods Market and Amazon. 77 00:03:35,360 --> 00:03:37,680 Speaker 1: We all learn from each other, and you know, we 78 00:03:37,800 --> 00:03:40,440 Speaker 1: lean on Amazon obviously for technology, Like the store is 79 00:03:40,480 --> 00:03:42,720 Speaker 1: going to have Amazon Palm, which. 80 00:03:42,520 --> 00:03:45,840 Speaker 2: Is some Whole Foods that I go to. 81 00:03:45,960 --> 00:03:47,560 Speaker 1: All the Whole Foods have it now, kay, and we 82 00:03:47,600 --> 00:03:50,160 Speaker 1: will have it obviously in daily Shop. So we really 83 00:03:50,400 --> 00:03:53,240 Speaker 1: learned from each other, and you know, just like we 84 00:03:53,280 --> 00:03:55,400 Speaker 1: did a deep dive on the three sixty five concept 85 00:03:55,400 --> 00:03:58,640 Speaker 1: as we were developing this concept, we've worked closely with 86 00:03:58,720 --> 00:04:02,280 Speaker 1: the Amazon Go team. So we are constantly learning and 87 00:04:02,360 --> 00:04:03,240 Speaker 1: we really lean on. 88 00:04:03,200 --> 00:04:05,760 Speaker 2: In FORSS technology at this point. 89 00:04:05,920 --> 00:04:08,520 Speaker 1: No, we'll not have JWL at least the first couple 90 00:04:08,520 --> 00:04:11,640 Speaker 1: of stores. We'll have self checkout. We'll have a manned register, 91 00:04:11,800 --> 00:04:13,280 Speaker 1: and then it will also have the pump. 92 00:04:13,400 --> 00:04:16,440 Speaker 2: Do you envision it ever ever having this technology? You know, 93 00:04:16,480 --> 00:04:19,120 Speaker 2: I ran into this technology at a ski mountain recently 94 00:04:19,400 --> 00:04:21,080 Speaker 2: and I think it was actually probably it might have 95 00:04:21,120 --> 00:04:22,520 Speaker 2: been actually Amazon technology. 96 00:04:22,640 --> 00:04:24,279 Speaker 1: Yeah, you're finding more and more of it now. 97 00:04:24,320 --> 00:04:28,000 Speaker 2: But do you envision like a seven thousand to fourteen 98 00:04:28,000 --> 00:04:29,719 Speaker 2: thousand square foot store having this tech. 99 00:04:29,839 --> 00:04:32,080 Speaker 1: It could be possible for the first few or not. 100 00:04:32,240 --> 00:04:36,120 Speaker 1: We really want to concentrate on how we're displaying the product. 101 00:04:36,240 --> 00:04:37,839 Speaker 1: We have a little more freedom when you don't have 102 00:04:37,960 --> 00:04:40,839 Speaker 1: JWO in a store, of how abundant. And that's the 103 00:04:40,839 --> 00:04:42,760 Speaker 1: thing about Daily Shop. When we design the store, we 104 00:04:42,880 --> 00:04:46,880 Speaker 1: use some new designers, and every place that you turned, 105 00:04:46,920 --> 00:04:49,440 Speaker 1: you're going to see product. I mean, we really used 106 00:04:49,480 --> 00:04:52,800 Speaker 1: every inch of this space to really just celebrate food. 107 00:04:53,200 --> 00:04:54,640 Speaker 1: So you'll definitely find your cheeses. 108 00:04:54,680 --> 00:04:56,479 Speaker 2: I just want to say, I don't know what JWO is, 109 00:04:56,480 --> 00:04:57,400 Speaker 2: but I imagine it. 110 00:04:57,520 --> 00:04:58,040 Speaker 1: Just walk out. 111 00:04:59,080 --> 00:05:01,400 Speaker 2: Okay, So it's like you know some places, some airports 112 00:05:01,400 --> 00:05:02,880 Speaker 2: have it. Now you know, you walk in and you 113 00:05:02,960 --> 00:05:05,480 Speaker 2: leave and you still get charged, so you're not still 114 00:05:05,560 --> 00:05:05,800 Speaker 2: on it. 115 00:05:05,920 --> 00:05:08,040 Speaker 3: Let's take a step back for a second, because what 116 00:05:08,320 --> 00:05:10,400 Speaker 3: was the demand you felt that you were meeting here. 117 00:05:10,560 --> 00:05:12,919 Speaker 3: Is there a reason that was there a trend among 118 00:05:13,000 --> 00:05:17,080 Speaker 3: shoppers that you saw that you said, hey, this would work. 119 00:05:17,960 --> 00:05:20,200 Speaker 1: Yeah, I think you said what I said earlier is convenience. 120 00:05:20,200 --> 00:05:21,520 Speaker 1: You know, I have a very good friend of mine 121 00:05:21,800 --> 00:05:24,080 Speaker 1: who's lived in the city most of her life. She 122 00:05:24,160 --> 00:05:26,559 Speaker 1: lives fourteen blocks away from the store right down street, 123 00:05:26,560 --> 00:05:30,040 Speaker 1: fifty seventh Street store. She won't shop there because it's 124 00:05:30,040 --> 00:05:33,240 Speaker 1: fourteen blocks away, but she loves whole Foods, so yeah, 125 00:05:33,240 --> 00:05:35,280 Speaker 1: she can get delivery. But if she wants to experience, 126 00:05:35,400 --> 00:05:37,360 Speaker 1: like you said, have that experience while you're going in 127 00:05:37,400 --> 00:05:39,480 Speaker 1: the store, We're going to pop these in between whole 128 00:05:39,480 --> 00:05:43,320 Speaker 1: foods stores and you'll be able to experience Whole Foods 129 00:05:43,320 --> 00:05:43,960 Speaker 1: in a convenience. 130 00:05:44,000 --> 00:05:47,960 Speaker 3: But is that the stores being busier? Is it New 131 00:05:48,080 --> 00:05:49,520 Speaker 3: Yorkers being lazier? 132 00:05:49,720 --> 00:05:49,880 Speaker 1: Right? 133 00:05:49,920 --> 00:05:53,040 Speaker 3: What is driving them to want more convenience when you 134 00:05:53,080 --> 00:05:54,600 Speaker 3: can already get your food delivered? 135 00:05:56,000 --> 00:05:58,680 Speaker 1: Having delivery I think is great for a good segment 136 00:05:58,720 --> 00:06:01,200 Speaker 1: of our customers. But like you said earlier, you love 137 00:06:01,279 --> 00:06:04,320 Speaker 1: shopping our stores. We find with our customers is they 138 00:06:04,400 --> 00:06:06,839 Speaker 1: use delivery and they shop our stores. So this is 139 00:06:06,880 --> 00:06:09,160 Speaker 1: just going to give them another avenue to shop our 140 00:06:09,200 --> 00:06:10,720 Speaker 1: stores in a convenient way. 141 00:06:11,680 --> 00:06:15,039 Speaker 2: Talk to us a little bit about this relationship that 142 00:06:15,080 --> 00:06:19,000 Speaker 2: Amazon has had critics I don't. Critics have said that 143 00:06:19,200 --> 00:06:23,000 Speaker 2: Amazon has not figured out retail yet, which is pretty 144 00:06:23,040 --> 00:06:25,880 Speaker 2: remarkable given or physical retail. I should say pretty remarkable 145 00:06:25,920 --> 00:06:28,039 Speaker 2: given their footprint, and they haven't really figured out like 146 00:06:28,279 --> 00:06:31,000 Speaker 2: the Whole Foods identity and how they work that in. 147 00:06:31,040 --> 00:06:34,119 Speaker 2: You've been at Whole Foods for well since the nineteen 148 00:06:34,200 --> 00:06:36,640 Speaker 2: nineties at this point, so you've seen many different iterations 149 00:06:36,680 --> 00:06:39,680 Speaker 2: of it. How would you how would you respond to 150 00:06:39,720 --> 00:06:42,799 Speaker 2: that if critics said that, you know, it's. 151 00:06:42,600 --> 00:06:45,560 Speaker 1: Been a wonderful partnership. It really has again to lean 152 00:06:45,680 --> 00:06:49,800 Speaker 1: on the technology that Amazon has, that the discipline and 153 00:06:49,880 --> 00:06:53,840 Speaker 1: running your business, the processes, that's been really great. And 154 00:06:54,000 --> 00:06:58,360 Speaker 1: I think now the competition the people like myself where 155 00:06:58,400 --> 00:07:01,920 Speaker 1: we're overseeing I'm overseeing Amazon teams and Whole Foods market teams. 156 00:07:02,200 --> 00:07:05,800 Speaker 1: So bringing those teams together. We've had just really good results. 157 00:07:05,839 --> 00:07:08,440 Speaker 1: You have forty years of retail on the whole food side, 158 00:07:08,520 --> 00:07:11,560 Speaker 1: and then you have all this experience of Amazon. We're 159 00:07:11,560 --> 00:07:13,040 Speaker 1: going to win in grocery. We're going to be a 160 00:07:13,080 --> 00:07:16,320 Speaker 1: world class grocer for each of the segments, whether it's 161 00:07:16,360 --> 00:07:19,400 Speaker 1: a conventional shopper or a whole foods market shopper. Amazon, 162 00:07:19,400 --> 00:07:20,480 Speaker 1: We're going to win in grocery. 163 00:07:21,680 --> 00:07:25,160 Speaker 3: What do you think is kind of the thing that 164 00:07:25,240 --> 00:07:27,280 Speaker 3: New Yorkers would like most about this? And how do 165 00:07:27,280 --> 00:07:29,040 Speaker 3: you see it expanding on to other cities? I mean, 166 00:07:29,080 --> 00:07:31,000 Speaker 3: does this only work for really big cities? 167 00:07:31,120 --> 00:07:33,360 Speaker 1: Good question, you know. For right now, we're going to 168 00:07:33,400 --> 00:07:36,960 Speaker 1: concentrate on cities. Obviously New York. We've been very successful here, 169 00:07:37,640 --> 00:07:39,560 Speaker 1: but we've done a lot of work the last few 170 00:07:39,640 --> 00:07:42,400 Speaker 1: years and really trying to realize what's the right size 171 00:07:42,400 --> 00:07:44,120 Speaker 1: store for the market, even if we're looking at a 172 00:07:44,200 --> 00:07:47,080 Speaker 1: suburban store, you know, is it a forty thousand, is 173 00:07:47,120 --> 00:07:50,320 Speaker 1: it a twenty five thousand. So we've got a great 174 00:07:50,360 --> 00:07:52,960 Speaker 1: science team on the Amazon team that's helping us figure 175 00:07:53,000 --> 00:07:56,200 Speaker 1: that out. So we're making really good real estate decisions. 176 00:07:56,320 --> 00:07:58,840 Speaker 2: Does it work if people have cars? Or is this 177 00:07:59,480 --> 00:08:01,840 Speaker 2: a store concept for people who aren't driving. 178 00:08:02,160 --> 00:08:04,240 Speaker 1: No, I think it could definitely be both. Like I said, 179 00:08:04,240 --> 00:08:07,760 Speaker 1: we're concentrating on the cities right now, but I envision 180 00:08:07,800 --> 00:08:10,720 Speaker 1: again that we could have stores like this even in 181 00:08:10,760 --> 00:08:12,840 Speaker 1: suburban areas, suburbandense areas. 182 00:08:12,640 --> 00:08:14,880 Speaker 3: Which yeah, suburban dents areas. If you think about it, 183 00:08:14,880 --> 00:08:17,080 Speaker 3: does it allow you to somehow open more stores because 184 00:08:17,600 --> 00:08:18,880 Speaker 3: you can open smaller ones? 185 00:08:19,040 --> 00:08:21,760 Speaker 1: Yeah? Absolutely. I mean finding a real estate box that's 186 00:08:22,240 --> 00:08:24,800 Speaker 1: you know, seven or eight thousand square feet as opposed 187 00:08:24,800 --> 00:08:27,240 Speaker 1: to fifty thousand square feet, we can move a lot 188 00:08:27,320 --> 00:08:29,720 Speaker 1: quicker with our growth with the Nashville, Upstate New York. 189 00:08:29,720 --> 00:08:33,240 Speaker 3: What do we think, Tim, Wait, as long as we 190 00:08:33,240 --> 00:08:37,440 Speaker 3: can do Bloomberg Radio from there, then I'm good. 191 00:08:37,720 --> 00:08:41,440 Speaker 2: Hey, I really appreciate you coming by. Christina, Thanks so much. 192 00:08:41,480 --> 00:08:44,520 Speaker 2: That's Christina Minorti, executive vice president of Growth and Development 193 00:08:44,520 --> 00:08:47,640 Speaker 2: at Whole Foods Market and Amazon, talking about the new 194 00:08:47,760 --> 00:08:51,240 Speaker 2: Whole Foods Market Daily Shop, the smaller footprint stores that 195 00:08:51,280 --> 00:08:54,079 Speaker 2: are fraction of the size of a typical Whole Foods