WEBVTT 2ef74a88-bee4-4958-b030-f6bfd73b4bf7-0 00:00:00.120 --> 00:00:02.200 István, thank you so much for joining us. d49d2986-311e-4266-bf05-f2670795337e-0 00:00:02.200 --> 00:00:03.760 How is MOL Group approaching GenAI 6555eeda-a0c3-4b2e-9d11-44f02338b803-0 00:00:03.760 --> 00:00:04.720 and AI? a940bbdd-6e87-4b62-882a-c5f58e91ad76-0 00:00:05.120 --> 00:00:05.600 AI and GenAI 5704ab3b-d840-4494-a3be-c828b1cd3bc1-0 00:00:05.600 --> 00:00:08.680 is really just the next step for us in our digital evolution. 3fb69ea8-56e2-4006-b22e-b71d06700dd6-0 00:00:09.080 --> 00:00:10.840 We think about this in five steps. db07934a-3abe-459f-911e-1ae0c7e9ba72-0 00:00:11.120 --> 00:00:12.320 We have a framework for this. fb0e910e-de2e-465f-bbbc-123cde22750d-0 00:00:12.680 --> 00:00:15.400 The first step is our vision, business strategy. 68cf1319-e4b0-4e13-af44-1c3b1c36132e-0 00:00:15.680 --> 00:00:18.667 That's what we build on. From an analog fuel retailer, we are 68cf1319-e4b0-4e13-af44-1c3b1c36132e-1 00:00:18.667 --> 00:00:21.655 transforming ourselves into a digitally driven consumer goods 68cf1319-e4b0-4e13-af44-1c3b1c36132e-2 00:00:21.655 --> 00:00:23.680 retailer and a mobility service provider. 5e2f1f6c-d3bf-4697-98e1-2d23b78558ec-0 00:00:23.680 --> 00:00:26.593 So it's a big step for us and everything we do is built on 5e2f1f6c-d3bf-4697-98e1-2d23b78558ec-1 00:00:26.593 --> 00:00:26.840 this. 8925be0c-834f-43b5-9159-8320ee6f3d8b-0 00:00:26.960 --> 00:00:28.200 The second one is scale. 769eb2a0-1e6f-4bfd-a10a-c0685960eae9-0 00:00:28.800 --> 00:00:31.680 Our business is now 2,400 locations in ten countries. a904e575-78d7-42bb-81d8-5dabbf57fa20-0 00:00:31.680 --> 00:00:34.280 We're doing 500 million transactions in a year. 38df4391-654e-4e83-90e3-cf1c91442659-0 00:00:34.480 --> 00:00:37.240 We are selling 100 million cups of coffee and hot dogs. 3499ce0e-ad0d-4dad-acb2-52567a94a5c7-0 00:00:37.600 --> 00:00:41.360 And we use AI whenever we have the scale that warrants it. 2feb7c41-8af5-4f22-9051-872cf11ea07f-0 00:00:41.960 --> 00:00:44.080 The third step is organization readiness. 976c1f92-a987-4f89-b470-e5fa96acc8ce-0 00:00:44.320 --> 00:00:47.920 We have built a digital factory team since 2018. 055b6f28-c6ef-48ab-b619-afdff5d91064-0 00:00:48.160 --> 00:00:52.528 This is a multidisciplinary team of product owners, designers, 055b6f28-c6ef-48ab-b619-afdff5d91064-1 00:00:52.528 --> 00:00:55.440 data scientists, data analysts, engineers 0553fe8d-eb0c-45ba-b57a-68910dbd0574-0 00:00:55.680 --> 00:00:57.560 who are able to implement these solutions. 2be0416e-87f8-4db1-9787-59c65f19c1f7-0 00:00:58.080 --> 00:01:02.120 The fourth step in our framework is data and technology. a80f0b91-c759-4a6e-93ae-7380884fa11a-0 00:01:02.120 --> 00:01:04.840 Yeah, first you need to get your data into order. 7e9949ca-73b9-4c71-aeb8-b0d82f91ad0d-0 00:01:05.200 --> 00:01:08.270 And we have implemented a data lake, a data analytics platform 7e9949ca-73b9-4c71-aeb8-b0d82f91ad0d-1 00:01:08.270 --> 00:01:11.145 that brings together all our transactional customer master 7e9949ca-73b9-4c71-aeb8-b0d82f91ad0d-2 00:01:11.145 --> 00:01:12.120 data into one place. ee159282-8fdf-4dc8-8892-ba8ae99274c6-0 00:01:12.440 --> 00:01:16.440 And it allows us to analyze our performance, build tools on it. cb1dbbac-1913-4b08-9af5-ef34dd4221cb-0 00:01:16.800 --> 00:01:19.953 And we also implemented a tech stack, a martech stack and a CRM cb1dbbac-1913-4b08-9af5-ef34dd4221cb-1 00:01:19.953 --> 00:01:22.860 and loyalty program that allows us to communicate with our cb1dbbac-1913-4b08-9af5-ef34dd4221cb-2 00:01:22.860 --> 00:01:24.880 customers, personalize their experience. 96ac35c6-cd7f-41ee-8e71-1168341e787a-0 00:01:25.200 --> 00:01:27.760 And this is the foundation on which we build AI. a3b32b8c-ab39-481a-8239-11227a87d583-0 00:01:27.760 --> 00:01:30.880 And AI is really just the fifth step in this evolution. 0f9dff01-1af7-4b54-84dc-c310095214c9-0 00:01:31.800 --> 00:01:34.705 Now we have hundreds of business users, millions of customers 0f9dff01-1af7-4b54-84dc-c310095214c9-1 00:01:34.705 --> 00:01:36.720 using these technologies on a daily basis. 8d08a22b-0775-4bd7-b492-8f0392a9bb0f-0 00:01:37.080 --> 00:01:39.440 And our business is becoming more intelligent day by day. c4bf031e-4595-410d-8634-946203f11008-0 00:01:39.720 --> 00:01:42.585 And what we do with AI is just make ourselves even more c4bf031e-4595-410d-8634-946203f11008-1 00:01:42.585 --> 00:01:44.120 intelligent and more accurate. 46da4bc3-8d82-4143-aa78-f7f0b0110cb4-0 00:01:44.280 --> 00:01:47.788 So for example, when you take hot dogs, we have a forecasting 46da4bc3-8d82-4143-aa78-f7f0b0110cb4-1 00:01:47.788 --> 00:01:51.240 tool that is built on AI that forecasts our hot dog sales on 46da4bc3-8d82-4143-aa78-f7f0b0110cb4-2 00:01:51.240 --> 00:01:54.691 an hourly basis per location, that helps our service station 46da4bc3-8d82-4143-aa78-f7f0b0110cb4-3 00:01:54.691 --> 00:01:57.860 employees make sure that we maximize sales and minimize 46da4bc3-8d82-4143-aa78-f7f0b0110cb4-4 00:01:57.860 --> 00:01:58.200 waste. a1cc5e9f-1993-48f7-8043-67eef4f151e3-0 00:01:58.560 --> 00:02:01.824 For personalization, we use generative AI and predictive AI a1cc5e9f-1993-48f7-8043-67eef4f151e3-1 00:02:01.824 --> 00:02:05.089 to personalize the offers, personalize the message, so that a1cc5e9f-1993-48f7-8043-67eef4f151e3-2 00:02:05.089 --> 00:02:08.518 customers feel more relevance or what we do for customers feel a1cc5e9f-1993-48f7-8043-67eef4f151e3-3 00:02:08.518 --> 00:02:09.280 more relevant. 9e75a589-08f6-466c-9211-39b67e270640-0 00:02:09.840 --> 00:02:13.403 And the future for us is that in every business process, in every 9e75a589-08f6-466c-9211-39b67e270640-1 00:02:13.403 --> 00:02:16.750 decision, we'll inject AI to make ourselves more accurate and 9e75a589-08f6-466c-9211-39b67e270640-2 00:02:16.750 --> 00:02:17.560 more effective. 118969c8-49ad-4161-9b0b-2c29eba3fd57-0 00:02:18.360 --> 00:02:21.543 And how critical is the connection between AI strategy 118969c8-49ad-4161-9b0b-2c29eba3fd57-1 00:02:21.543 --> 00:02:23.280 and overall business strategy? bf472046-dddc-4b37-88b2-7b73c533dd60-0 00:02:24.000 --> 00:02:26.498 I would say it's so critical that we don't even have an AI bf472046-dddc-4b37-88b2-7b73c533dd60-1 00:02:26.498 --> 00:02:26.880 strategy. 1e643208-9373-4c4a-8ace-d981a41c2aa8-0 00:02:27.240 --> 00:02:30.520 It's our AI strategy is built on our business strategy. 7bae1719-954f-4b51-9ab8-ea15eac3f52d-0 00:02:30.920 --> 00:02:33.310 We start from the business, we start from what we want to 7bae1719-954f-4b51-9ab8-ea15eac3f52d-1 00:02:33.310 --> 00:02:33.640 achieve. a0219278-19de-4eff-83e4-8086a171507f-0 00:02:33.640 --> 00:02:37.053 We start where the value pools are, we start where the a0219278-19de-4eff-83e4-8086a171507f-1 00:02:37.053 --> 00:02:40.653 priorities are, and then we support those priorities with a0219278-19de-4eff-83e4-8086a171507f-2 00:02:40.653 --> 00:02:40.840 AI. 94ea89b6-8bfc-434c-9145-ed7429294dbe-0 00:02:40.840 --> 00:02:44.680 So basically our AI roadmap is defined by the business strategy 94ea89b6-8bfc-434c-9145-ed7429294dbe-1 00:02:44.680 --> 00:02:45.160 we have. 7ee6d161-bf95-4674-ab01-d8beabbaf26e-0 00:02:45.760 --> 00:02:48.238 And what would your advice be for business leaders who are 7ee6d161-bf95-4674-ab01-d8beabbaf26e-1 00:02:48.238 --> 00:02:50.760 just now getting started on this AI transformation journey? f9a35d3b-638b-44f8-8f62-e84137fd30ee-0 00:02:51.480 --> 00:02:53.200 I would say don't skip the foundations. 555c9435-daec-4189-8270-2513a8d8d8a9-0 00:02:53.200 --> 00:02:56.000 So, you know, first, have a business strategy. d2d95753-be4e-440c-af41-79f317757f2a-0 00:02:56.200 --> 00:02:58.600 Second, you need to make sure that you have the scale where d2d95753-be4e-440c-af41-79f317757f2a-1 00:02:58.600 --> 00:02:59.280 you can apply AI. 1efcab35-cf47-45f8-bc23-55b2b4adc661-0 00:02:59.680 --> 00:03:02.054 Third, you have to have the foundations, both from an 1efcab35-cf47-45f8-bc23-55b2b4adc661-1 00:03:02.054 --> 00:03:04.560 organizational and from from a technology point of view. de9d327c-7968-41d6-902f-88e536eb19ac-0 00:03:04.920 --> 00:03:08.416 We spent five years to build this, but that's what was needed de9d327c-7968-41d6-902f-88e536eb19ac-1 00:03:08.416 --> 00:03:11.461 for us in, in, in a, in an entire region to become AI de9d327c-7968-41d6-902f-88e536eb19ac-2 00:03:11.461 --> 00:03:11.800 ready. cb0525ea-7b49-4e66-8dde-4e73a1074dd6-0 00:03:12.080 --> 00:03:14.880 Without that, you can only do pilots and proof of concepts. 9dd53b8a-015b-4eab-a257-389376a480f6-0 00:03:15.200 --> 00:03:16.000 Thank you so much. 1fed153b-4e73-47db-8898-49b1a455f55e-0 00:03:16.000 --> 00:03:16.480 Thank you. 3b0d38ef-364e-4105-9143-1598f3ba62ac-0 00:03:17.200 --> 00:03:17.880 Thank you very much.