WEBVTT 00:02.680 --> 00:04.440 At the age of nine, my 00:04.440 --> 00:06.240 parents would put me up in a tractor 00:07.200 --> 00:08.320 and that would be it for the day. 00:11.119 --> 00:12.880 My family has been farming 00:12.880 --> 00:14.359 the same land for generations. 00:15.320 --> 00:17.359 My dad, his dad before him. 00:20.120 --> 00:21.120 I always just kind of 00:21.120 --> 00:23.199 assumed I'd end up there too. 00:25.480 --> 00:27.719 Agriculture is the most important 00:27.719 --> 00:28.440 industry in the world. 00:29.760 --> 00:31.199 Everyone's talking about space, 00:31.719 --> 00:33.560 but take away food and 00:33.560 --> 00:35.600 water, what have you, right? 00:37.600 --> 00:39.280 When I was 12, I left 00:39.280 --> 00:40.439 home for boarding school. 00:41.200 --> 00:42.679 Six years away from the farm, 00:43.280 --> 00:45.759 away from everything I've grown up with. 00:47.280 --> 00:48.719 You start questioning things 00:49.079 --> 00:50.280 when you're not inside them anymore. 00:52.840 --> 00:53.880 Food processors sit in the 00:53.880 --> 00:54.719 middle of the whole chain 00:55.359 --> 00:56.000 between farmers 00:56.000 --> 00:57.479 producing and retailers selling. 00:58.200 --> 00:59.520 They have no choice but 00:59.520 --> 01:00.359 to deal with the volatility 01:00.600 --> 01:01.840 from both sides. 01:02.039 --> 01:04.000 The consequence of us getting the 01:04.000 --> 01:05.959 forecast wrong would be that we'd 01:05.959 --> 01:06.959 probably make the wrong product. 01:07.760 --> 01:09.400 And obviously that has big impact on our 01:09.400 --> 01:10.319 business because we now 01:10.319 --> 01:11.359 have products sit in store, 01:11.840 --> 01:13.280 we don't have a customer for it. 01:13.920 --> 01:15.480 And that has a big impact on our working 01:15.480 --> 01:17.200 capital and the decisions that we can 01:17.200 --> 01:17.840 make in our business 01:17.840 --> 01:18.480 to be more efficient. 01:19.439 --> 01:20.560 And yet, they're doing 01:20.560 --> 01:21.760 it with less technology 01:22.120 --> 01:24.079 than almost any other industry. 01:25.640 --> 01:26.599 It's a constant motion. 01:27.879 --> 01:28.920 Markets, animals, weather, 01:29.760 --> 01:31.680 something's always changing. 01:32.519 --> 01:34.200 Product has to continually move off site. 01:34.200 --> 01:35.319 We have to have storage ready. 01:35.519 --> 01:37.000 We need to have shipping companies ready. 01:37.480 --> 01:37.719 Everything that 01:37.719 --> 01:39.079 happens here is very fast. 01:39.959 --> 01:41.319 And the people at the heart of it, 01:41.959 --> 01:42.920 they're still making their 01:42.920 --> 01:44.959 biggest calls on gut feeling, 01:45.680 --> 01:48.159 on spreadsheets, on experience alone. 01:51.000 --> 01:51.640 Not because they're 01:51.640 --> 01:52.719 not good at their jobs, 01:52.920 --> 01:55.560 but just because that's how it is. 01:56.480 --> 01:57.400 As a dairy industry, 01:57.760 --> 01:59.560 we were using a lot of data points, 02:00.120 --> 02:02.640 using Excel, looking at 02:02.640 --> 02:03.760 lots of different sheets 02:04.079 --> 02:05.120 to give us a forecast for 02:05.120 --> 02:05.959 the next couple of months. 02:06.439 --> 02:07.159 There was a lot of time 02:07.159 --> 02:08.319 being consumed in that, 02:08.759 --> 02:10.479 a lot of energy as well. 02:10.599 --> 02:12.879 to make sure we're right and trying to 02:12.879 --> 02:13.960 get it as accurate as possible. 02:15.560 --> 02:16.080 And that's what we're 02:16.080 --> 02:16.960 trying to change with Daisy. 02:18.120 --> 02:19.879 The processors handling their produce. 02:20.599 --> 02:21.680 They're committing to customers, 02:22.520 --> 02:24.800 scheduling production, facing the market. 02:26.000 --> 02:27.520 They're doing all in their power 02:27.520 --> 02:28.800 to preserve their thin margins. 02:29.919 --> 02:35.039 But without awareness, that's what we do. 02:36.000 --> 02:37.879 Now they can understand what's coming, 02:38.360 --> 02:40.240 when, and what to make with it. 02:40.960 --> 02:41.879 We allow them to 02:41.879 --> 02:43.680 forecast supply, demand, 02:44.599 --> 02:46.800 and optimize their entire product mix. 02:49.120 --> 02:50.120 My family has been 02:50.120 --> 02:51.680 doing this for generations. 02:52.840 --> 02:54.479 So have millions of other families. 02:55.759 --> 02:57.840 These aren't companies, they're people. 02:58.960 --> 03:01.719 And when you help them, they feel it. 03:04.280 --> 03:05.039 There are so many 03:05.039 --> 03:07.080 opportunities for us to make a difference.