WEBVTT 1 00:00:00.251 --> 00:00:02.834 (gentle music) 2 00:00:05.756 --> 00:00:09.510 (bright upbeat music) 3 00:00:09.510 --> 00:00:12.690 The inventory cockpit enables your colleagues 4 00:00:12.690 --> 00:00:17.040 within the depots to locate stockouts more quickly 5 00:00:17.040 --> 00:00:18.030 and be able to address them, 6 00:00:18.030 --> 00:00:19.620 make sure we've got the right stock 7 00:00:19.620 --> 00:00:22.140 at the rate time for people. 8 00:00:22.140 --> 00:00:25.350 The wholesale inventory cockpit is creating transparency 9 00:00:25.350 --> 00:00:27.300 on optimal stock levels 10 00:00:27.300 --> 00:00:30.720 using a state-of-the-art AI-based forecast. 11 00:00:30.720 --> 00:00:33.690 Typical status quo in inventory management looked like this, 12 00:00:33.690 --> 00:00:37.290 that we were doing a lot of manual analysis within Excel, 13 00:00:37.290 --> 00:00:39.510 extracting data locally. 14 00:00:39.510 --> 00:00:43.050 A lot of numbers, a lot of people are involved, 15 00:00:43.050 --> 00:00:46.740 and this is an ideal playing field for AI and GenAI. 16 00:00:46.740 --> 00:00:49.440 What really helped us during the program 17 00:00:49.440 --> 00:00:52.050 was the data platform that PHOENIX already established 18 00:00:52.050 --> 00:00:54.840 because it gave us access to the right data. 19 00:00:54.840 --> 00:00:55.673 On the other hand, 20 00:00:55.673 --> 00:00:58.740 the existing cloud platform and AI services 21 00:00:58.740 --> 00:01:01.260 allowed us to implement quickly, 22 00:01:01.260 --> 00:01:03.690 test and validate hypothesis fast. 23 00:01:03.690 --> 00:01:06.090 It gave us security and later on scale. 24 00:01:06.090 --> 00:01:08.820 So once we have a digital product 25 00:01:08.820 --> 00:01:11.190 like this wholesale inventory cockpit, 26 00:01:11.190 --> 00:01:13.320 for us, it's relatively easy to scale those 27 00:01:13.320 --> 00:01:15.180 to 10, 15, 20 countries, 28 00:01:15.180 --> 00:01:17.820 and that's what we're doing right now. 29 00:01:17.820 --> 00:01:19.290 What really stands out here 30 00:01:19.290 --> 00:01:21.090 is that we were involved like from the beginning. 31 00:01:21.090 --> 00:01:23.490 The idea came from the business side 32 00:01:23.490 --> 00:01:26.070 in close collaboration with the BCG colleagues. 33 00:01:26.070 --> 00:01:28.140 The goal was to make it real. 34 00:01:28.140 --> 00:01:29.340 We wanted to implement it, 35 00:01:29.340 --> 00:01:31.320 we wanted people to work with it, 36 00:01:31.320 --> 00:01:33.674 and we wanted to see the impact in the numbers. 37 00:01:33.674 --> 00:01:36.257 (gentle music)