1 00:00:02,720 --> 00:00:08,680 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:10,080 --> 00:00:13,360 Speaker 2: One weekday this fall, thirty nine shoppers fired up the 3 00:00:13,400 --> 00:00:18,600 Speaker 2: grocery delivery service Instacart and filled their virtual carts. They 4 00:00:18,640 --> 00:00:21,040 Speaker 2: all put the same twenty items in there from the 5 00:00:21,079 --> 00:00:27,280 Speaker 2: same Seattle Safeway, wheat Thins, Heinz, Ketchup, Cheerios, Skippy peanut butter. 6 00:00:27,920 --> 00:00:30,800 Speaker 2: But when it came time to check out, the total 7 00:00:30,840 --> 00:00:34,920 Speaker 2: price of their baskets was different as much as nine 8 00:00:35,000 --> 00:00:39,120 Speaker 2: dollars and fifty nine cents different. One shoppers two dollars 9 00:00:39,240 --> 00:00:42,560 Speaker 2: ninety nine cent jar of peanut butter was another shopper's 10 00:00:42,640 --> 00:00:45,400 Speaker 2: three dollars and sixty nine cent jar of peanut butter. 11 00:00:45,880 --> 00:00:49,520 Speaker 2: Two identical boxes of wheatins could vary by as much 12 00:00:49,600 --> 00:00:53,400 Speaker 2: as ninety cents. Now, a few dollars here or there 13 00:00:53,600 --> 00:00:56,480 Speaker 2: might not sound like a lot, but over a year 14 00:00:56,560 --> 00:00:59,000 Speaker 2: of buying groceries, it can add up. 15 00:00:59,560 --> 00:01:03,480 Speaker 1: Grocery are a major line item for most families budgets. 16 00:01:03,880 --> 00:01:06,319 Speaker 1: The other thing that's a problem for many families is 17 00:01:06,840 --> 00:01:10,800 Speaker 1: when pricing is so variable, your grocery budget starts to 18 00:01:10,800 --> 00:01:12,120 Speaker 1: feel really unpredictable. 19 00:01:12,440 --> 00:01:16,240 Speaker 2: That's Lindsay Owens, the executive director of the Groundwork Collaborative, 20 00:01:16,400 --> 00:01:21,080 Speaker 2: a progressive economic policy think tank. This month, Groundwork released 21 00:01:21,080 --> 00:01:25,280 Speaker 2: an investigation with the organization Consumer Reports in partnership with 22 00:01:25,319 --> 00:01:29,280 Speaker 2: the news nonprofit more Perfect Union that found that instacart 23 00:01:29,360 --> 00:01:33,120 Speaker 2: has been using an AI tool to run algorithmic price 24 00:01:33,160 --> 00:01:39,320 Speaker 2: experiments on shoppers around the country, often without their knowledge, 25 00:01:39,440 --> 00:01:42,839 Speaker 2: at a time when inflation has driven grocery costs higher. 26 00:01:43,319 --> 00:01:47,080 Speaker 2: The revelation that instacart was charging some consumers more for 27 00:01:47,160 --> 00:01:49,400 Speaker 2: the same goods struck a court. 28 00:01:49,560 --> 00:01:53,120 Speaker 1: A one to two dollars markup just from shopping online 29 00:01:53,200 --> 00:01:55,400 Speaker 1: versus in person just sounds crazy to me when you're 30 00:01:55,400 --> 00:01:58,400 Speaker 1: already doing the tip and having this service fee here. 31 00:01:58,480 --> 00:02:01,760 Speaker 3: Obviously, this needs legislation, so let your representatives know that 32 00:02:01,800 --> 00:02:02,680 Speaker 3: this matters to you. 33 00:02:02,840 --> 00:02:05,840 Speaker 1: But until we have that law, avoid in store apps. 34 00:02:06,160 --> 00:02:09,480 Speaker 2: And it did get attention from lawmakers and regulators. 35 00:02:09,639 --> 00:02:13,040 Speaker 1: That is instacart stock is falling this morning after Reuters 36 00:02:13,080 --> 00:02:17,120 Speaker 1: reported that the FTC sent the grocery delivery company a 37 00:02:17,200 --> 00:02:18,880 Speaker 1: civil investigation demands. 38 00:02:18,960 --> 00:02:22,200 Speaker 2: The instacart said that it does not use any personal 39 00:02:22,280 --> 00:02:26,400 Speaker 2: demographic or user level behavior data to set prices, and 40 00:02:26,440 --> 00:02:31,200 Speaker 2: that prices weren't changing based on real time supply and demand. Instead, 41 00:02:31,440 --> 00:02:33,960 Speaker 2: they said that the price discrepancies were the result of 42 00:02:34,000 --> 00:02:38,480 Speaker 2: completely randomized ab testing, the kind of test retailers often 43 00:02:38,520 --> 00:02:41,160 Speaker 2: do to figure out how sensitive shoppers are to the 44 00:02:41,160 --> 00:02:46,840 Speaker 2: price of certain items. Still, the company said report raised concerns. 45 00:02:47,639 --> 00:02:50,360 Speaker 2: Quote at a time when families are working hard to 46 00:02:50,440 --> 00:02:53,799 Speaker 2: stretch their grocery budgets, customers should never have to question 47 00:02:53,919 --> 00:02:57,480 Speaker 2: the prices they see on Instacart, an instacart spokesperson told 48 00:02:57,560 --> 00:03:00,960 Speaker 2: us and this week the company need a big one 49 00:03:00,960 --> 00:03:04,519 Speaker 2: to eighty. Instacart is ending a program where customers saw 50 00:03:04,639 --> 00:03:07,600 Speaker 2: different prices for the same product ordered at the same 51 00:03:07,680 --> 00:03:09,040 Speaker 2: time from the same store. 52 00:03:09,400 --> 00:03:11,959 Speaker 3: Oftentimes, you know, companies get criticized for things all the time. 53 00:03:12,000 --> 00:03:14,040 Speaker 3: It doesn't necessarily change their strategy. 54 00:03:14,320 --> 00:03:17,120 Speaker 2: That's Leah Nylan, who covers antitrust for Bloomberg. 55 00:03:17,240 --> 00:03:20,600 Speaker 3: But Instacart was pretty quick to sort of pull back 56 00:03:20,680 --> 00:03:24,280 Speaker 3: on this policy, given like the significant outcry that there 57 00:03:24,360 --> 00:03:25,040 Speaker 3: was in response. 58 00:03:25,639 --> 00:03:29,359 Speaker 2: As more online retailers lean on AI to influence their 59 00:03:29,360 --> 00:03:35,040 Speaker 2: pricing strategy, the groundwork collaboratives Lindsay says Instacart's saga raises 60 00:03:35,160 --> 00:03:35,960 Speaker 2: new questions. 61 00:03:36,440 --> 00:03:39,160 Speaker 1: How far can you take a pricing practice before you 62 00:03:39,240 --> 00:03:39,920 Speaker 1: touch the stove. 63 00:03:44,960 --> 00:03:47,400 Speaker 2: I'm Sarah Holder, and this is the big take from 64 00:03:47,400 --> 00:03:51,200 Speaker 2: Bloomberg News today on the show what Happens when an 65 00:03:51,240 --> 00:03:56,320 Speaker 2: algorithm determines your grocery bill? How volunteer shoppers revealed Instacart's 66 00:03:56,360 --> 00:04:10,800 Speaker 2: invisible pricing practices and what came after the back. In 67 00:04:10,840 --> 00:04:14,560 Speaker 2: twenty twenty two, instacart acquired a company called ever Site 68 00:04:15,040 --> 00:04:17,760 Speaker 2: that offers AI powered pricing software. 69 00:04:17,960 --> 00:04:21,599 Speaker 3: And what this did was it helped retailers, primarily grocery 70 00:04:21,640 --> 00:04:27,279 Speaker 3: stores like Kroger, Albertson's, Safeway, things like that set prices 71 00:04:27,320 --> 00:04:29,600 Speaker 3: for like sort of everyday grocery items. 72 00:04:30,000 --> 00:04:34,080 Speaker 2: Leah Nylan, an antitrust reporter for Bloomberg, says the tool 73 00:04:34,160 --> 00:04:35,640 Speaker 2: has been controversial. 74 00:04:35,839 --> 00:04:38,599 Speaker 3: They could increase the price if they thought, for example, 75 00:04:38,640 --> 00:04:42,159 Speaker 3: you were somebody who really needed an item, or you know, 76 00:04:42,200 --> 00:04:44,640 Speaker 3: were the sort of person who might not see a 77 00:04:44,640 --> 00:04:48,479 Speaker 3: price increase and walk away, so they could sort of 78 00:04:48,560 --> 00:04:52,000 Speaker 3: jack up the prices for certain people or lower them 79 00:04:52,000 --> 00:04:54,880 Speaker 3: for others. The sort of problematic thing about this tool 80 00:04:55,120 --> 00:04:58,400 Speaker 3: is as a consumer, you have no idea that Instacart 81 00:04:58,480 --> 00:04:59,960 Speaker 3: or the grocery store is even using. 82 00:05:00,360 --> 00:05:04,400 Speaker 2: Earlier this year, researchers and analysts at the Groundwork Collaborative 83 00:05:04,400 --> 00:05:08,000 Speaker 2: and Consumer Reports decided to look closer at the grocery 84 00:05:08,040 --> 00:05:12,240 Speaker 2: delivery company's pricing strategy and how it could impact consumers. 85 00:05:12,400 --> 00:05:15,560 Speaker 1: We were interested in this kind of concept of surveillance pricing, 86 00:05:15,600 --> 00:05:19,440 Speaker 1: this idea that companies are collecting data on us not 87 00:05:19,640 --> 00:05:23,119 Speaker 1: just to get better at advertising to us, but also 88 00:05:23,200 --> 00:05:25,680 Speaker 1: maybe to get better at overcharging us. 89 00:05:25,920 --> 00:05:29,720 Speaker 2: Lindsay Owens, again, the executive director of the Groundwork Collaborative. 90 00:05:30,120 --> 00:05:32,960 Speaker 1: We knew a little bit about what instacart was up 91 00:05:33,000 --> 00:05:37,479 Speaker 1: to because they have been reasonably transparent with one population 92 00:05:38,080 --> 00:05:41,760 Speaker 1: their investors. So they have talked about their pricing strategies 93 00:05:41,800 --> 00:05:45,719 Speaker 1: and their earnings calls. They have been transparent about the 94 00:05:45,760 --> 00:05:49,480 Speaker 1: types of technologies they were buying and perfecting in their 95 00:05:49,480 --> 00:05:52,919 Speaker 1: patent applications, and they have also talked a little bit 96 00:05:52,960 --> 00:05:55,760 Speaker 1: about this on their website and some of their marketing materials. 97 00:05:56,200 --> 00:05:59,200 Speaker 1: When they purchased Eversite in twenty twenty two, one of 98 00:05:59,240 --> 00:06:01,960 Speaker 1: the reasons they did so is because ever site offered 99 00:06:02,440 --> 00:06:06,360 Speaker 1: better technology for running the types of experiments we found. 100 00:06:06,800 --> 00:06:09,680 Speaker 1: So we knew that some sort of pricing experiments were 101 00:06:09,680 --> 00:06:13,560 Speaker 1: going on with instacart, but we wanted to understand was 102 00:06:13,600 --> 00:06:15,719 Speaker 1: it just a few pennies here, or was it something 103 00:06:15,760 --> 00:06:19,039 Speaker 1: that could really be contributing to the high cost of 104 00:06:19,080 --> 00:06:22,200 Speaker 1: groceries that so many families in America are frustrated about 105 00:06:22,640 --> 00:06:28,320 Speaker 1: right now. So we basically turned instacarts pricing experiments right 106 00:06:28,360 --> 00:06:29,280 Speaker 1: back around on them. 107 00:06:29,640 --> 00:06:32,679 Speaker 2: Consumer Reports went to their network of members and asked 108 00:06:32,720 --> 00:06:37,720 Speaker 2: for volunteers to participate in an instacart shopping experiment. More 109 00:06:37,760 --> 00:06:40,160 Speaker 2: than four hundred people ended up participating. 110 00:06:41,080 --> 00:06:44,200 Speaker 1: We said, okay, all of the consumers in the study, 111 00:06:44,520 --> 00:06:47,040 Speaker 1: you're going to all pick out the exact same eighteen 112 00:06:47,120 --> 00:06:50,520 Speaker 1: to twenty grocery items Wheat thins and Quaker oats and 113 00:06:50,600 --> 00:06:53,279 Speaker 1: Deli lunch meat. You're going to put them in your cart, 114 00:06:53,839 --> 00:06:56,640 Speaker 1: and then you're going to take screenshots of the prices 115 00:06:56,680 --> 00:07:00,200 Speaker 1: you're being offered for each of the items, and we 116 00:07:00,240 --> 00:07:02,880 Speaker 1: had our data set. What we found was pretty extraordinary. 117 00:07:02,960 --> 00:07:08,000 Speaker 1: These were not little differences. Sometimes one consumer was offered 118 00:07:08,480 --> 00:07:11,400 Speaker 1: a price twenty three percent higher than another consumer for 119 00:07:11,480 --> 00:07:13,520 Speaker 1: the exact same good at the exact same time. 120 00:07:14,080 --> 00:07:17,440 Speaker 2: The total price for the consumer's baskets differed by an 121 00:07:17,480 --> 00:07:19,280 Speaker 2: average of about seven percent. 122 00:07:19,680 --> 00:07:21,400 Speaker 1: So the best way to explain this if you and 123 00:07:21,440 --> 00:07:23,560 Speaker 1: I were standing in line at Target right now, and 124 00:07:23,600 --> 00:07:27,280 Speaker 1: we were holding the exact same box of cheerios. We 125 00:07:27,280 --> 00:07:29,280 Speaker 1: would expect to pay the same amount, right. 126 00:07:29,120 --> 00:07:31,640 Speaker 2: Same store, same day, same item. Yep. 127 00:07:31,760 --> 00:07:35,880 Speaker 1: Like, we're in line together, irl, right and you check 128 00:07:35,920 --> 00:07:39,080 Speaker 1: out your box costs four ninety nine, You're still bagging 129 00:07:39,120 --> 00:07:41,960 Speaker 1: your box. I check out next. My box is six 130 00:07:42,080 --> 00:07:45,119 Speaker 1: ninety nine. I look over at you and I'm like, wait, 131 00:07:45,160 --> 00:07:47,120 Speaker 1: how much did you pay? In you're four ninety nine? 132 00:07:47,200 --> 00:07:49,960 Speaker 1: And then we both look at the cashier, Wait, why 133 00:07:49,960 --> 00:07:52,200 Speaker 1: am I paying six ninety nine? If you and I 134 00:07:52,280 --> 00:07:56,240 Speaker 1: stepped out of line, fired up our phones, got on instacart, 135 00:07:56,960 --> 00:08:00,840 Speaker 1: got the same box of cheerios from that same pickup 136 00:08:00,880 --> 00:08:03,760 Speaker 1: location that we're standing in, there is a very good 137 00:08:03,840 --> 00:08:07,000 Speaker 1: chance that we would be offered different prices. We found 138 00:08:07,040 --> 00:08:10,840 Speaker 1: price variation on seventy five percent of the items in 139 00:08:10,880 --> 00:08:13,920 Speaker 1: the grocery carts, and we found that one hundred percent 140 00:08:13,960 --> 00:08:17,280 Speaker 1: of our secret shoppers got variable pricing at some point 141 00:08:17,360 --> 00:08:20,880 Speaker 1: during the experiment. So no one was immune and seventy 142 00:08:20,920 --> 00:08:24,720 Speaker 1: five percent of the items were offered at variable prices. 143 00:08:24,800 --> 00:08:27,840 Speaker 1: We're effectively part of this big experiment. Well. 144 00:08:29,080 --> 00:08:33,320 Speaker 2: Lindsey also says that this isn't a niche issue. Grocery 145 00:08:33,360 --> 00:08:36,080 Speaker 2: delivery picked up during the pandemic, and a range of 146 00:08:36,120 --> 00:08:39,760 Speaker 2: people use the services today. In an instacart twenty twenty 147 00:08:39,840 --> 00:08:43,480 Speaker 2: five economic report, the company said that sixty eight percent 148 00:08:43,520 --> 00:08:48,640 Speaker 2: of its customers considered Instacart essential. App Trackers estimate instacart 149 00:08:48,679 --> 00:08:51,280 Speaker 2: has over fourteen million active users. 150 00:08:51,720 --> 00:08:54,280 Speaker 1: Some people have kept up with it because they can't 151 00:08:54,280 --> 00:08:57,000 Speaker 1: get to the store, or maybe it's not accessible through 152 00:08:57,000 --> 00:09:00,480 Speaker 1: public transportation, maybe you know, have an injury or something 153 00:09:00,520 --> 00:09:02,400 Speaker 1: like that and can't sort of pick up your own groceries. 154 00:09:02,640 --> 00:09:06,160 Speaker 1: And also instacart allows shoppers to grocery shop at a 155 00:09:06,200 --> 00:09:10,680 Speaker 1: whole host of different outlets, low end grocers, discount grocers, 156 00:09:11,000 --> 00:09:14,520 Speaker 1: big box grocers, high end grocers. Right, so it really 157 00:09:14,520 --> 00:09:19,319 Speaker 1: covers the watershed of different consumer preferences. And so one 158 00:09:19,320 --> 00:09:21,200 Speaker 1: of the reasons why we felt like this study was 159 00:09:22,120 --> 00:09:24,600 Speaker 1: so important, but also we felt like our findings were 160 00:09:24,640 --> 00:09:28,800 Speaker 1: so problematic, is because this isn't sort of a niche market. 161 00:09:28,840 --> 00:09:32,120 Speaker 1: This really is increasingly a big part of the American 162 00:09:32,160 --> 00:09:33,120 Speaker 1: grocery experience. 163 00:09:33,640 --> 00:09:36,880 Speaker 2: And what did you find about why or what could 164 00:09:36,920 --> 00:09:40,959 Speaker 2: explain whether a customer would get a higher or lower price. 165 00:09:41,040 --> 00:09:45,320 Speaker 2: Was there anything about the profiles of shoppers that would 166 00:09:45,480 --> 00:09:49,640 Speaker 2: inform what prices instacart was serving them, or was it random? 167 00:09:50,080 --> 00:09:52,160 Speaker 1: So I think we have a couple of suggestive answers 168 00:09:52,200 --> 00:09:56,160 Speaker 1: to this. The first is we know from Instacart's own 169 00:09:56,720 --> 00:09:59,480 Speaker 1: public statements that part of the reason they do this 170 00:09:59,840 --> 00:10:02,600 Speaker 1: is just to test how much they can charge for 171 00:10:02,640 --> 00:10:07,959 Speaker 1: given items. So they're really conducting pricing sensitivity analyses figuring 172 00:10:07,960 --> 00:10:11,240 Speaker 1: out how high they can take Instacart's markup on top 173 00:10:11,320 --> 00:10:13,960 Speaker 1: of the retailer's price before you take an item out 174 00:10:14,000 --> 00:10:16,600 Speaker 1: of your cart, or close your computer and walk to 175 00:10:16,880 --> 00:10:20,080 Speaker 1: a brick and mortar grocery store. On our end, we 176 00:10:20,240 --> 00:10:23,920 Speaker 1: tested a whole host of demographic information to try to 177 00:10:23,960 --> 00:10:26,920 Speaker 1: see if we could predict which prices you would get 178 00:10:26,960 --> 00:10:30,160 Speaker 1: based on the information that we had. We didn't find 179 00:10:30,320 --> 00:10:34,520 Speaker 1: any statistically significant patterns, so we can't rule out that 180 00:10:34,600 --> 00:10:39,560 Speaker 1: it was random. However, we did find that people were 181 00:10:39,600 --> 00:10:43,240 Speaker 1: sorted into distinct price groups, so there were some people 182 00:10:43,240 --> 00:10:46,920 Speaker 1: who got higher prices pretty much across the board. There 183 00:10:46,920 --> 00:10:49,880 Speaker 1: were some people who got lower prices more often than not. 184 00:10:54,480 --> 00:10:57,920 Speaker 2: According to the report, Instacart confirmed that the findings from 185 00:10:57,920 --> 00:11:02,920 Speaker 2: the tests accurately reflect pricing experiments and strategies. In a 186 00:11:02,960 --> 00:11:07,280 Speaker 2: statement to Groundwork and Consumer Reports, instacart said, just as 187 00:11:07,360 --> 00:11:10,440 Speaker 2: retailers have long tested prices in their physical stores to 188 00:11:10,440 --> 00:11:15,320 Speaker 2: better understand consumer preferences, a subset of only ten retail partners, 189 00:11:15,559 --> 00:11:20,240 Speaker 2: ones that already apply markups, do the same online via Instacart. 190 00:11:20,800 --> 00:11:25,400 Speaker 2: These limited, short term and randomized tests help retail partners 191 00:11:25,480 --> 00:11:28,600 Speaker 2: learn what matters most to consumers and how to keep 192 00:11:28,720 --> 00:11:33,520 Speaker 2: essential items affordable. But in statements, instacart also said that 193 00:11:33,559 --> 00:11:38,040 Speaker 2: there's been reporting that's inaccurately characterized the mechanisms behind some 194 00:11:38,080 --> 00:11:42,239 Speaker 2: of its pricing experiments, and Bloomberg's Leah Nyland says instacart 195 00:11:42,280 --> 00:11:44,600 Speaker 2: stress that the retailer is the one that sets the 196 00:11:44,640 --> 00:11:48,040 Speaker 2: base price of groceries they sell on the app. Retailers 197 00:11:48,080 --> 00:11:51,040 Speaker 2: often have their own reasons and strategies for engaging in 198 00:11:51,080 --> 00:11:55,960 Speaker 2: pricing experiments, as groceries have notoriously narrow profit margins. 199 00:11:56,520 --> 00:11:59,520 Speaker 3: They felt that this study was sort of unfairly blaming 200 00:11:59,600 --> 00:12:01,240 Speaker 3: them for something that they don't have a lot of 201 00:12:01,240 --> 00:12:01,800 Speaker 3: control over. 202 00:12:01,920 --> 00:12:04,200 Speaker 2: Another thing I thought was interesting in the statement that 203 00:12:04,240 --> 00:12:07,679 Speaker 2: they released was that they really reiterated that they weren't 204 00:12:07,840 --> 00:12:11,480 Speaker 2: using surveillance pricing. In other words, they weren't using customers 205 00:12:11,559 --> 00:12:14,440 Speaker 2: personal information to set prices that it was like random 206 00:12:14,600 --> 00:12:19,520 Speaker 2: ab testing. Can you explain further the difference between algorithmic 207 00:12:19,600 --> 00:12:22,760 Speaker 2: pricing and surveillance pricing and why do you think instacart 208 00:12:22,880 --> 00:12:25,960 Speaker 2: was so clear in making that distinction. 209 00:12:26,640 --> 00:12:29,360 Speaker 3: Yeah, So when people think of the term surveillance pricing, 210 00:12:29,400 --> 00:12:33,200 Speaker 3: they generally think of a company that is taking a 211 00:12:33,240 --> 00:12:36,280 Speaker 3: lot of information about them and sort of coming up 212 00:12:36,280 --> 00:12:39,680 Speaker 3: with a price that is very personalized to them. So 213 00:12:39,720 --> 00:12:42,000 Speaker 3: they'll have all of these different characteristics and they will 214 00:12:42,120 --> 00:12:44,559 Speaker 3: use those particular things about you to set the price. 215 00:12:45,080 --> 00:12:47,400 Speaker 3: Instacart was saying, we weren't doing that. It's not like 216 00:12:47,440 --> 00:12:51,360 Speaker 3: we were like deciding that you as Jane Doe, and here, 217 00:12:51,840 --> 00:12:53,560 Speaker 3: you know, we have all this information about you and 218 00:12:53,600 --> 00:12:56,000 Speaker 3: so we were tailoring the price to you. We were 219 00:12:56,080 --> 00:12:59,840 Speaker 3: just like using various algorithms that sort of like are 220 00:13:00,080 --> 00:13:03,480 Speaker 3: testing various things about our app to see if maybe, 221 00:13:03,520 --> 00:13:06,080 Speaker 3: you know, like if we highlight this type of deal, 222 00:13:06,200 --> 00:13:08,760 Speaker 3: you're more likely to click on it. And the way 223 00:13:08,760 --> 00:13:11,000 Speaker 3: they do that is this thing called ab testing, where 224 00:13:11,000 --> 00:13:13,600 Speaker 3: they'll show one customer one thing and they'll show another 225 00:13:13,679 --> 00:13:16,520 Speaker 3: customer something slightly different, and then they see which one 226 00:13:17,040 --> 00:13:19,840 Speaker 3: is more effective for whatever it is that they're testing. 227 00:13:23,920 --> 00:13:27,679 Speaker 2: Coming up, how price experiments started creeping into more industries, 228 00:13:28,160 --> 00:13:44,920 Speaker 2: and how lawmakers and regulators are responding like it or not. 229 00:13:45,280 --> 00:13:48,920 Speaker 2: Consumers are used to being experimented on, at least in 230 00:13:49,000 --> 00:13:49,760 Speaker 2: some arenas. 231 00:13:49,920 --> 00:13:52,520 Speaker 3: You know, you sort of think when you're buying airline tickets, 232 00:13:52,559 --> 00:13:54,640 Speaker 3: you know, or maybe concert tickets or something, you know 233 00:13:54,679 --> 00:13:57,200 Speaker 3: that it's a good that there is a limited. 234 00:13:56,880 --> 00:13:59,080 Speaker 2: Supply, right Bloomberg's Leah Nylan. 235 00:13:58,840 --> 00:14:01,240 Speaker 3: There are only so many any seats on a flight, 236 00:14:01,400 --> 00:14:04,200 Speaker 3: so yeah, maybe like the price might go up when 237 00:14:04,240 --> 00:14:07,840 Speaker 3: there's like fewer seats left. You know. Concert tickets are 238 00:14:07,880 --> 00:14:10,760 Speaker 3: sort of notoriously you know, get expensive the more close 239 00:14:10,840 --> 00:14:13,319 Speaker 3: to the date that you get. But with groceries, you know, 240 00:14:13,360 --> 00:14:15,400 Speaker 3: there's sort of always been this idea that you go 241 00:14:15,440 --> 00:14:17,079 Speaker 3: into a grocery store and everybody gets charged to the 242 00:14:17,120 --> 00:14:23,200 Speaker 3: same price. Increasingly, like, grocery companies and other companies along 243 00:14:23,240 --> 00:14:26,240 Speaker 3: these lines are trying to change that, and they're very 244 00:14:26,280 --> 00:14:29,240 Speaker 3: interested in finding more and more details about people to 245 00:14:29,320 --> 00:14:33,040 Speaker 3: try and tailor the pricing towards them. They've been introducing 246 00:14:33,320 --> 00:14:36,400 Speaker 3: what they call electronic shelf labels at grocery store so 247 00:14:36,440 --> 00:14:38,800 Speaker 3: that they might even have an opportunity to change that 248 00:14:38,880 --> 00:14:41,680 Speaker 3: shelf price throughout the day. And I think that is 249 00:14:41,800 --> 00:14:44,600 Speaker 3: a surprise to just the regular average consumer because we're 250 00:14:44,640 --> 00:14:47,760 Speaker 3: not really expecting that. We are used to going into 251 00:14:47,760 --> 00:14:49,320 Speaker 3: the store and the price is the price. 252 00:14:50,680 --> 00:14:54,640 Speaker 2: When the Groundwork Collaborative and Consumer Reports investigation revealed that 253 00:14:54,720 --> 00:14:58,400 Speaker 2: the grocery company Instacart was running its own pricing experiments, 254 00:14:58,960 --> 00:15:02,040 Speaker 2: many members of the public, we're taken aback. Yeah. 255 00:15:02,080 --> 00:15:05,000 Speaker 3: From lawmakers and regulators, there was sort of a big 256 00:15:05,080 --> 00:15:07,960 Speaker 3: hue and outcry because this is something, at least from 257 00:15:07,960 --> 00:15:10,840 Speaker 3: the regulatory perspective, that they've been concerned about for a while. 258 00:15:11,000 --> 00:15:13,080 Speaker 3: They know that in this day and age, when there 259 00:15:13,160 --> 00:15:15,640 Speaker 3: is a lot of data about consumers out there, that 260 00:15:16,200 --> 00:15:20,200 Speaker 3: retailers are trying to find out this information about consumers 261 00:15:20,280 --> 00:15:23,720 Speaker 3: and do this sort of personalized pricing. But it raises 262 00:15:23,720 --> 00:15:26,080 Speaker 3: a lot of red flags because you don't know exactly 263 00:15:26,600 --> 00:15:30,960 Speaker 3: how various factors are increasing or decreasing the price. There 264 00:15:30,960 --> 00:15:34,120 Speaker 3: are various federal laws that prohibit you from raising or 265 00:15:34,680 --> 00:15:38,720 Speaker 3: lowering prices based on particular characteristics, So for example, you're 266 00:15:38,760 --> 00:15:41,600 Speaker 3: not supposed to charge people different prices based on race, 267 00:15:41,840 --> 00:15:44,200 Speaker 3: or sex, or religion or things like that. But when 268 00:15:44,200 --> 00:15:46,680 Speaker 3: it's a black box like this, like you don't know 269 00:15:46,800 --> 00:15:50,800 Speaker 3: exactly what factors the company is using to make the 270 00:15:50,840 --> 00:15:54,080 Speaker 3: decision about pricing. Among lawmakers, it was also sort of 271 00:15:54,160 --> 00:15:57,800 Speaker 3: a red flag because food is an essential thing, you know, 272 00:15:57,840 --> 00:16:00,600 Speaker 3: everyone has to eat, and especially at a time right 273 00:16:00,640 --> 00:16:03,760 Speaker 3: now when grocery prices have been such a touch point 274 00:16:03,760 --> 00:16:06,840 Speaker 3: with voters. It really did get a lot of lawmaker reaction. 275 00:16:07,560 --> 00:16:11,320 Speaker 2: After the instacart report came out, members of Congress, including 276 00:16:11,360 --> 00:16:15,080 Speaker 2: Senator Chuck Schumer and Senator Amy Klobuchar, wrote letters to 277 00:16:15,160 --> 00:16:19,680 Speaker 2: Federal Trade Commission officials expressing their concerns. Reuters reported that 278 00:16:19,720 --> 00:16:23,320 Speaker 2: the FTC has sent inquiries to Instacart regarding its use 279 00:16:23,400 --> 00:16:27,800 Speaker 2: of AI enabled pricing tools. FDC Chair Andrew Ferguson posted 280 00:16:27,800 --> 00:16:31,320 Speaker 2: on x this week that the FDC quote began investigating 281 00:16:31,360 --> 00:16:35,200 Speaker 2: these potentially unlawful practices in the spring. With all this 282 00:16:35,360 --> 00:16:38,560 Speaker 2: new scrutiny on the role of technology in price setting, 283 00:16:39,000 --> 00:16:41,920 Speaker 2: I asked Leah about how long the issue has been 284 00:16:42,120 --> 00:16:43,520 Speaker 2: on regulator's radars. 285 00:16:44,000 --> 00:16:46,320 Speaker 3: This is something that the Federal Trade Commission, which is 286 00:16:46,360 --> 00:16:49,720 Speaker 3: the US's primary consumer protection agency, has been concerned about 287 00:16:49,720 --> 00:16:53,040 Speaker 3: for a while. During the Biden administration, the FTC had 288 00:16:53,080 --> 00:16:56,240 Speaker 3: started an investigation into a lot of retailers. They have 289 00:16:56,320 --> 00:16:59,600 Speaker 3: this special power that they can ask retailers to sort 290 00:16:59,600 --> 00:17:02,240 Speaker 3: of turn over information for the purposes of a study. 291 00:17:02,320 --> 00:17:04,439 Speaker 3: So they had asked a bunch of major retailers to 292 00:17:04,480 --> 00:17:07,320 Speaker 3: do that, and then they were looking essentially at how 293 00:17:07,320 --> 00:17:11,560 Speaker 3: frequently they use these sort of algorithms to help determine pricing. 294 00:17:11,920 --> 00:17:15,119 Speaker 3: And that study is still underway. The Trump folks didn't 295 00:17:15,200 --> 00:17:18,480 Speaker 3: kill it upon coming into office, but we still don't 296 00:17:18,520 --> 00:17:20,879 Speaker 3: really have the results of that yet. And the FTC 297 00:17:21,040 --> 00:17:24,680 Speaker 3: in particular had already had an investigation into Instacart over 298 00:17:24,720 --> 00:17:29,040 Speaker 3: whether it's Instacart plus this is its membership program was 299 00:17:29,200 --> 00:17:34,000 Speaker 3: sufficiently transparent enough about its pricing and cancelation policies. 300 00:17:34,160 --> 00:17:36,680 Speaker 2: And Instacart has to pay sixty million dollars back to 301 00:17:36,760 --> 00:17:39,400 Speaker 2: consumers as a result of that investigation. 302 00:17:39,800 --> 00:17:44,080 Speaker 3: Yes, they're refunding consumers millions of dollars as a result 303 00:17:44,119 --> 00:17:47,160 Speaker 3: of this investigation because the FTC found that they weren't 304 00:17:47,160 --> 00:17:50,600 Speaker 3: being transparent enough about the terms of this membership program 305 00:17:51,000 --> 00:17:54,359 Speaker 3: and how people could cancel it, because the FTC found 306 00:17:54,359 --> 00:17:57,680 Speaker 3: that frequently people sort of didn't realize that they were 307 00:17:57,760 --> 00:17:59,760 Speaker 3: enrolled in this program and they would try and cancel, 308 00:17:59,800 --> 00:18:01,920 Speaker 3: and instead of giving them their money back to Instacart, 309 00:18:01,960 --> 00:18:05,520 Speaker 3: would give them a credit, which violates some consumer protection 310 00:18:05,600 --> 00:18:06,880 Speaker 3: laws about memberships. 311 00:18:07,400 --> 00:18:11,080 Speaker 2: On Monday, Instacart announced that retailers would no longer be 312 00:18:11,119 --> 00:18:14,800 Speaker 2: able to use ever site software to run item price tests, 313 00:18:15,080 --> 00:18:19,520 Speaker 2: effective immediately now. The company said in a statement, if 314 00:18:19,560 --> 00:18:22,119 Speaker 2: two families are shopping for the same items at the 315 00:18:22,160 --> 00:18:25,600 Speaker 2: same time from the same store location on Instacart, they 316 00:18:25,600 --> 00:18:30,960 Speaker 2: see the same prices period. So Instacart announced they're stopping 317 00:18:31,000 --> 00:18:34,600 Speaker 2: this tactic, which marks one sort of resolution to this story. 318 00:18:35,200 --> 00:18:38,840 Speaker 2: But could what happened here with Instacart set a precedent 319 00:18:38,920 --> 00:18:42,520 Speaker 2: for other industries that are experimenting with this kind of 320 00:18:42,600 --> 00:18:43,240 Speaker 2: price setting. 321 00:18:43,440 --> 00:18:46,000 Speaker 3: I do think that if anybody else is experimenting with 322 00:18:46,080 --> 00:18:49,720 Speaker 3: this price setting, they probably have seen what the sort 323 00:18:49,760 --> 00:18:53,840 Speaker 3: of criticism that Instacart got and are probably going to 324 00:18:53,840 --> 00:18:56,119 Speaker 3: be a little bit more reluctant to at least admit 325 00:18:56,160 --> 00:18:58,920 Speaker 3: that they are doing this, and or, you know, when 326 00:18:58,960 --> 00:19:01,560 Speaker 3: they get blowback a little bit more willing to pull 327 00:19:01,600 --> 00:19:03,520 Speaker 3: back on it. So it will be interesting to see, 328 00:19:03,880 --> 00:19:06,080 Speaker 3: you know, sort of as we go forward, how many 329 00:19:06,119 --> 00:19:10,080 Speaker 3: other companies to sort of try these types of tactics, 330 00:19:10,200 --> 00:19:13,920 Speaker 3: how transparent they are about that's what they're doing, and 331 00:19:14,240 --> 00:19:17,320 Speaker 3: sort of what the reaction is going forward. The basics 332 00:19:17,359 --> 00:19:19,480 Speaker 3: of consumer protection laws that you have to be very 333 00:19:19,480 --> 00:19:23,479 Speaker 3: transparent about what you are selling and at what price. 334 00:19:23,600 --> 00:19:26,159 Speaker 3: If you don't do that, the regulators will come after you. 335 00:19:33,480 --> 00:19:36,600 Speaker 2: This is the Big Take from Bloomberg News. I'm Sarah Holder. 336 00:19:37,400 --> 00:19:39,960 Speaker 2: To get more from the Big Take and unlimited access 337 00:19:39,960 --> 00:19:43,680 Speaker 2: to all of Bloomberg dot com, subscribe today at Bloomberg 338 00:19:43,720 --> 00:19:47,520 Speaker 2: dot com Slash Podcast offer. Thanks for listening. We'll be 339 00:19:47,600 --> 00:19:48,200 Speaker 2: back tomorrow