WEBVTT 1 00:00:00.579 --> 00:00:01.530 (upbeat music) My name is Nate Shenck, 2 00:00:01.530 --> 00:00:04.590 I'm a Senior Partner in BCG's Washington DC office. 3 00:00:04.590 --> 00:00:06.750 Before I joined BCG, I was in the Navy, 4 00:00:06.750 --> 00:00:08.820 and there are more parallels than I expected to find 5 00:00:08.820 --> 00:00:10.560 in coming to BCG. 6 00:00:10.560 --> 00:00:12.630 It's a super tight knit community. 7 00:00:12.630 --> 00:00:15.180 You're working on highly technical problems. 8 00:00:15.180 --> 00:00:18.060 My background was as an engineer, electrical and nuclear. 9 00:00:18.060 --> 00:00:19.095 So when I came to BCG, 10 00:00:19.095 --> 00:00:21.840 I thought that I would do something in that space. 11 00:00:21.840 --> 00:00:23.880 What surprises me the most about where I ended up, 12 00:00:23.880 --> 00:00:25.770 is that I ended up in retail. 13 00:00:25.770 --> 00:00:26.970 It's hyper competitive. 14 00:00:26.970 --> 00:00:29.010 Retailers don't have large margins, 15 00:00:29.010 --> 00:00:31.140 you either compete or you perish. 16 00:00:31.140 --> 00:00:34.350 AI is a new arrow in the quiver for many retailers. 17 00:00:34.350 --> 00:00:35.700 The vendors can be really important 18 00:00:35.700 --> 00:00:37.800 in helping drive innovation. 19 00:00:37.800 --> 00:00:39.600 The biggest opportunity for retailers 20 00:00:39.600 --> 00:00:42.570 is applying generative AI with humans in the loop 21 00:00:42.570 --> 00:00:44.700 to speed up the decision-making process. 22 00:00:44.700 --> 00:00:46.260 What genAI, and AI in general, 23 00:00:46.260 --> 00:00:47.400 has allowed retailers to do 24 00:00:47.400 --> 00:00:50.070 is move much faster and much more granular. 25 00:00:50.070 --> 00:00:51.510 A better localized assortment, 26 00:00:51.510 --> 00:00:54.390 more personalized promotions for a customer, 27 00:00:54.390 --> 00:00:56.700 pricing that's relevant in market. 28 00:00:56.700 --> 00:00:57.990 Another big change with AI 29 00:00:57.990 --> 00:01:00.150 is the move from customers searching 30 00:01:00.150 --> 00:01:01.260 to customers asking. 31 00:01:01.260 --> 00:01:02.700 And what that means for customers is 32 00:01:02.700 --> 00:01:03.960 it gets much more tailored, 33 00:01:03.960 --> 00:01:06.270 much more personal recommendations. 34 00:01:06.270 --> 00:01:07.560 It's not enough to be good 35 00:01:07.560 --> 00:01:09.660 and to pop high in the rank on a search. 36 00:01:09.660 --> 00:01:12.090 You have to have the kind of information available 37 00:01:12.090 --> 00:01:14.760 so that the AI is finding your information 38 00:01:14.760 --> 00:01:16.050 and not somebody else's. 39 00:01:16.050 --> 00:01:18.450 Retailers experimenting with that right now 40 00:01:18.450 --> 00:01:20.970 are gonna better position themselves for growth. 41 00:01:20.970 --> 00:01:24.168 So it's the next evolutionary course in retail. 42 00:01:24.168 --> 00:01:26.751 (bright music)