WEBVTT 00:00:00.000 --> 00:00:02.293 Shikhar, good to meet you here at CES. 00:00:02.293 --> 00:00:05.005 We recently published our joint report on GenAI 00:00:05.005 --> 00:00:06.965 and the car buying experience. 00:00:06.965 --> 00:00:09.426 So what are you seeing for how GenAI 00:00:09.426 --> 00:00:12.012 is already transforming the car-buying process? 00:00:12.012 --> 00:00:13.138 Yeah, thank you for having me. 00:00:13.138 --> 00:00:15.098 What I'm seeing from a car-buying experience is 00:00:15.098 --> 00:00:17.100 right now we are moving more towards 00:00:17.100 --> 00:00:20.520 a seamless end-to-end workflow, a more holistic workflow. 00:00:20.520 --> 00:00:23.607 And from there we are seeing, like, having an AI advisor, 00:00:23.607 --> 00:00:25.775 a product advisor that can help you guide 00:00:25.775 --> 00:00:28.945 through more holistic, multidimensional recommendations, 00:00:28.945 --> 00:00:31.323 all the way from discovery to execution 00:00:31.323 --> 00:00:34.367 and buying your best vehicle of choice. 00:00:34.367 --> 00:00:37.245 And the second piece is having a deal finder. 00:00:37.245 --> 00:00:39.498 Now that you have decided like a specific brand 00:00:39.498 --> 00:00:41.792 of car, of choice, that you want to buy, 00:00:41.792 --> 00:00:44.544 the second piece is how you can not just know 00:00:44.544 --> 00:00:46.296 where to buy that vehicle, 00:00:46.296 --> 00:00:47.756 but how and when to buy that vehicle. 00:00:47.756 --> 00:00:48.590 Yeah, I think that's right. 00:00:48.590 --> 00:00:49.758 That's really interesting. 00:00:49.758 --> 00:00:52.886 I think as well, based on that, kind of two key takeaways. 00:00:52.886 --> 00:00:56.473 So the first one is that OEMs need to kind of ensure 00:00:56.473 --> 00:00:57.974 that they are well represented 00:00:57.974 --> 00:00:59.643 in both of those critical stages 00:00:59.643 --> 00:01:01.228 in the car-buying journey. 00:01:01.228 --> 00:01:03.689 So advisory on the product. 00:01:03.689 --> 00:01:04.773 As well as 00:01:04.773 --> 00:01:07.150 finding deals and offers for the product. 00:01:07.150 --> 00:01:08.777 And then the second is 00:01:08.777 --> 00:01:10.570 that it doesn't only impact OEMs, 00:01:10.570 --> 00:01:14.700 so it impacts also dealerships, online car-buying platforms, 00:01:14.700 --> 00:01:17.244 and even insurers and financial institutions 00:01:17.244 --> 00:01:19.413 that kind of offer adjacent products 00:01:19.413 --> 00:01:21.540 or financing for those products. 00:01:21.540 --> 00:01:22.541 Absolutely, I think you need to see 00:01:22.541 --> 00:01:24.042 that total cost of ownership 00:01:24.042 --> 00:01:26.086 bundled with those pricing and discounts 00:01:26.086 --> 00:01:27.838 and everything else inculcated together. 00:01:27.838 --> 00:01:30.299 That gives a lot more transparent behavior 00:01:30.299 --> 00:01:33.051 and trust from a customer standpoint. 00:01:33.051 --> 00:01:35.971 And so what are you seeing specifically here at CES 00:01:35.971 --> 00:01:39.641 that tells you that OEMs need to move fast on AI? 00:01:39.641 --> 00:01:42.352 I'm seeing a lot of like Edge AI-based scenarios 00:01:42.352 --> 00:01:43.896 and use cases. 00:01:43.896 --> 00:01:45.606 And when I think of Edge AI, I'm talking about over-the-car, 00:01:45.606 --> 00:01:47.232 over-the-air updates. 00:01:47.232 --> 00:01:50.444 L3, L4, more autonomy inside these vehicles. 00:01:50.444 --> 00:01:52.404 I think what we need to see more of 00:01:52.404 --> 00:01:55.324 is having this more seamless car-buying journey, 00:01:55.324 --> 00:01:56.366 which takes you all the way 00:01:56.366 --> 00:02:00.371 from a fragmented, opaque approach into a more trustable, 00:02:00.371 --> 00:02:02.247 trustworthy governance system 00:02:02.247 --> 00:02:05.167 that can help the users in a more conversational dialogue. 00:02:05.167 --> 00:02:08.962 Imagine users talking about, I'm a family of three, 00:02:08.962 --> 00:02:12.383 I have a dog, I used to go on long drives, 00:02:12.383 --> 00:02:14.218 and I live in this particular area. 00:02:14.218 --> 00:02:17.179 So depending upon all of these holistic choices, 00:02:17.179 --> 00:02:20.224 what is the car brand of choice that you want to recommend, 00:02:20.224 --> 00:02:23.143 and all the additional options that come along with it 00:02:23.143 --> 00:02:24.853 with the total cost of ownership 00:02:24.853 --> 00:02:26.605 that the user will be implied upon. 00:02:26.605 --> 00:02:29.733 I think this is where we will see, even beyond CES, 00:02:29.733 --> 00:02:32.611 what automation, what level of end-to-end automation, 00:02:32.611 --> 00:02:34.738 from all the way to discovery to deployment 00:02:34.738 --> 00:02:38.284 to getting those respective vehicles at the user's house 00:02:38.284 --> 00:02:40.119 is coming very, very soon. 00:02:40.119 --> 00:02:42.246 Yeah, I think that's definitely right. 00:02:42.246 --> 00:02:44.707 And I think also it's true that the car-buying experience 00:02:44.707 --> 00:02:48.210 is kind of subject to this potential transformation 00:02:48.210 --> 00:02:49.920 given that our research shows 00:02:49.920 --> 00:02:53.174 that currently there's a lot of kind of feeling 00:02:53.174 --> 00:02:55.342 among customers that they do not have 00:02:55.342 --> 00:02:58.804 an objective, all-knowing, multidimensional, 00:02:58.804 --> 00:03:01.599 and always available kind of advisor 00:03:01.599 --> 00:03:03.768 throughout the process that they can rely on. 00:03:03.768 --> 00:03:07.021 I think this is really a use case where GenAI can help 00:03:07.021 --> 00:03:08.105 and transform the journey. 00:03:08.105 --> 00:03:09.607 Shikhar, thank you so much. 00:03:09.607 --> 00:03:10.149 Thank you.