1 00:00:00,120 --> 00:00:03,320 Speaker 1: Now how cool is this. Spark has built the first 2 00:00:03,440 --> 00:00:05,880 Speaker 1: private five G network in the country. It's for Air 3 00:00:05,880 --> 00:00:09,200 Speaker 1: New Zealand. It's in Air New Zealand's large logistics warehouse 4 00:00:09,200 --> 00:00:11,119 Speaker 1: and the network is now being used by drones and 5 00:00:11,200 --> 00:00:13,920 Speaker 1: robots in order to do regular stock takes that are 6 00:00:13,960 --> 00:00:16,560 Speaker 1: just really too hard for humans to do. Mark Beider 7 00:00:16,680 --> 00:00:20,240 Speaker 1: is Spark's customer director for Enterprise and Government. Mark, Hello, hi, 8 00:00:20,320 --> 00:00:21,960 Speaker 1: heir the how are you very well? Thank you? Now 9 00:00:22,000 --> 00:00:24,240 Speaker 1: I understand these drones and robots are doing these stock 10 00:00:24,280 --> 00:00:26,840 Speaker 1: takes every ten days now because of this network. How 11 00:00:26,880 --> 00:00:28,080 Speaker 1: often were humans doing it? 12 00:00:29,000 --> 00:00:30,920 Speaker 2: They were doing it twice a year, so sort of 13 00:00:30,960 --> 00:00:33,560 Speaker 2: semi annually you do a stock taking, it normally takes 14 00:00:33,600 --> 00:00:36,800 Speaker 2: about ten days of preparation before you can actually start 15 00:00:37,240 --> 00:00:40,080 Speaker 2: the stock take. So in this case, it really provides 16 00:00:40,080 --> 00:00:42,800 Speaker 2: efficiency around how you can do a stock take and 17 00:00:42,800 --> 00:00:44,520 Speaker 2: how often our more you can do it as well. 18 00:00:44,880 --> 00:00:46,519 Speaker 1: Why is it so hard for humans? Is it just 19 00:00:46,560 --> 00:00:49,440 Speaker 1: because of the warehouse? Things are up so high. 20 00:00:49,920 --> 00:00:52,040 Speaker 2: It's the size of the warehouse. It's that you have 21 00:00:52,080 --> 00:00:54,840 Speaker 2: to scan every single item within an aisle. It's also 22 00:00:54,960 --> 00:00:57,760 Speaker 2: the height at these warehouses are fifteen meters high. So 23 00:00:58,120 --> 00:01:00,680 Speaker 2: getting to the top of the warehouse. So really it's 24 00:01:00,720 --> 00:01:02,960 Speaker 2: about how they can do this more efficiently and more 25 00:01:02,960 --> 00:01:03,960 Speaker 2: effectively over time. 26 00:01:04,040 --> 00:01:06,040 Speaker 1: And then how many drones and robots have they got 27 00:01:06,120 --> 00:01:07,479 Speaker 1: going at any one time on this. 28 00:01:08,160 --> 00:01:10,800 Speaker 2: At the moment it's one, So it's a pilot and 29 00:01:11,520 --> 00:01:14,800 Speaker 2: they're using it pretty much through the evening to actually 30 00:01:14,800 --> 00:01:19,080 Speaker 2: do the stop take every ten days, no as often 31 00:01:19,120 --> 00:01:21,280 Speaker 2: as they need to really in case, yeah, so they 32 00:01:21,280 --> 00:01:23,360 Speaker 2: can do it whenever they want really, so effectively, what 33 00:01:23,400 --> 00:01:25,800 Speaker 2: we've done we've worked with Ericson and also a company 34 00:01:25,840 --> 00:01:29,800 Speaker 2: good Cipher Robotics, and the private five G network which 35 00:01:29,800 --> 00:01:33,080 Speaker 2: is enabled by Ericson gives great coverage within the warehouse 36 00:01:33,319 --> 00:01:35,200 Speaker 2: and it enables the robot to go up and down 37 00:01:35,240 --> 00:01:37,039 Speaker 2: an aisle whenever required. 38 00:01:37,160 --> 00:01:40,119 Speaker 1: Well, why did you have to build its own little 39 00:01:40,400 --> 00:01:42,400 Speaker 1: private five G network? Why is it not just using 40 00:01:42,400 --> 00:01:44,280 Speaker 1: the regular five G network like the rest of us. 41 00:01:45,120 --> 00:01:48,080 Speaker 2: It provides more autonomy also the latency that you need 42 00:01:48,120 --> 00:01:51,800 Speaker 2: to actually run a warehouse. It's much more effective, it 43 00:01:51,840 --> 00:01:54,760 Speaker 2: gives better coverage, it provides them with their own individual 44 00:01:54,760 --> 00:01:59,240 Speaker 2: solutions so it's not impacted by the broader network. 45 00:02:00,120 --> 00:02:02,520 Speaker 1: Going to have to put that into assume I know nothing. 46 00:02:02,560 --> 00:02:04,640 Speaker 1: Put that into normal people's language for me, what does 47 00:02:04,640 --> 00:02:05,200 Speaker 1: that even mean? 48 00:02:06,280 --> 00:02:08,680 Speaker 2: So what it really means is is that it provides 49 00:02:08,800 --> 00:02:12,120 Speaker 2: much better coverage within the warehouse from a connectivity perspective. Yes, 50 00:02:12,160 --> 00:02:15,519 Speaker 2: and it enables the robot to actually connect to the 51 00:02:15,600 --> 00:02:16,640 Speaker 2: network more effectively. 52 00:02:16,720 --> 00:02:20,200 Speaker 1: Okay, so thank you Mark, Now I understand it. Okay, 53 00:02:20,200 --> 00:02:21,520 Speaker 1: So it's not going to hit a black spot and 54 00:02:21,520 --> 00:02:23,079 Speaker 1: fall out of the sky type of thing like. It 55 00:02:23,080 --> 00:02:26,000 Speaker 1: will have absolutely five G everywhere inside that warehouse. 56 00:02:26,520 --> 00:02:28,960 Speaker 2: Absolutely, that's that's absolutely the aim of what we're what 57 00:02:28,960 --> 00:02:30,480 Speaker 2: we do with Avate Private five G. 58 00:02:30,639 --> 00:02:32,480 Speaker 1: May is there some AI going on here as well? 59 00:02:33,520 --> 00:02:35,840 Speaker 2: Not not in this case. In this case, it's very 60 00:02:35,919 --> 00:02:38,280 Speaker 2: much around. Well, it is autonomous, so from that perspective, 61 00:02:38,760 --> 00:02:41,560 Speaker 2: it is going up and down the aisle autonomously. Yeah, 62 00:02:41,639 --> 00:02:43,480 Speaker 2: so there is a little bit of AI built into 63 00:02:43,639 --> 00:02:46,919 Speaker 2: into how it operates. But realistically, what it does is 64 00:02:46,960 --> 00:02:48,600 Speaker 2: it sets a course, it looks at the aisle that 65 00:02:48,600 --> 00:02:50,880 Speaker 2: it's going up and down, It scans every single item 66 00:02:50,880 --> 00:02:53,440 Speaker 2: from bottom to the top and that, and then it 67 00:02:53,480 --> 00:02:55,680 Speaker 2: concludes it what they would class as its mission. 68 00:02:55,800 --> 00:02:57,720 Speaker 1: Now, this seems to me like a no brainer. Why 69 00:02:57,720 --> 00:02:59,560 Speaker 1: has it taken so long to get one of the 70 00:02:59,600 --> 00:03:00,720 Speaker 1: first one underway. 71 00:03:01,520 --> 00:03:05,120 Speaker 2: It's really about bringing different types and looking for different 72 00:03:05,120 --> 00:03:09,160 Speaker 2: types of solutions for problems. And so the private five 73 00:03:09,200 --> 00:03:11,880 Speaker 2: G network within five g's always been there, but really 74 00:03:11,919 --> 00:03:13,680 Speaker 2: it's about what you built over the top of it 75 00:03:13,720 --> 00:03:16,280 Speaker 2: with different types of solutions. So you bring that convergence 76 00:03:16,320 --> 00:03:19,400 Speaker 2: together and you're looking for different types of problems. So 77 00:03:19,760 --> 00:03:21,480 Speaker 2: for instance, in a port there might be a different 78 00:03:21,480 --> 00:03:24,280 Speaker 2: type of solution that you need. In a manufacturing facility, 79 00:03:24,320 --> 00:03:26,600 Speaker 2: it's a different type of problem. So really this is 80 00:03:26,639 --> 00:03:28,400 Speaker 2: the first one of its kind of New Zealand and 81 00:03:28,720 --> 00:03:30,000 Speaker 2: hopefully there's going to be a lot more. 82 00:03:30,160 --> 00:03:32,480 Speaker 1: Yeah, now what does it cost? I mean what is 83 00:03:32,520 --> 00:03:34,800 Speaker 1: if somebody is sitting there like, thank eggs, I need 84 00:03:34,800 --> 00:03:37,080 Speaker 1: one of those for myself. How much money do they 85 00:03:37,080 --> 00:03:37,840 Speaker 1: have to scrape together? 86 00:03:38,880 --> 00:03:40,640 Speaker 2: Well, it depends on the solution, to be honest, and 87 00:03:40,880 --> 00:03:43,680 Speaker 2: it also depends on the type of private five G 88 00:03:43,800 --> 00:03:46,880 Speaker 2: network that you need. And there's there's so many different variables. 89 00:03:46,680 --> 00:03:50,440 Speaker 2: It's based on size of where you need the private five. 90 00:03:51,200 --> 00:03:56,120 Speaker 1: Different solution tens hundreds of thousands millions, what's the ball. 91 00:03:57,120 --> 00:03:58,960 Speaker 2: It would be? It would be in the hundreds of 92 00:03:58,960 --> 00:04:01,560 Speaker 2: thousands up. The type of solution that you would need 93 00:04:01,760 --> 00:04:05,040 Speaker 2: and it's really about it depends on the actual requirement 94 00:04:05,080 --> 00:04:06,520 Speaker 2: that you would need to go and build. 95 00:04:07,080 --> 00:04:08,400 Speaker 1: This is going to have a huge impact on in 96 00:04:08,480 --> 00:04:11,040 Speaker 1: New zealand'sroductivity out to manage. Wouldn't it an accuracy? 97 00:04:11,840 --> 00:04:13,480 Speaker 2: Look, And that's the reason we did it. It's a 98 00:04:13,520 --> 00:04:15,520 Speaker 2: really good use case to help them become, you know, 99 00:04:16,560 --> 00:04:18,560 Speaker 2: a digital air line, a world leading digital airlige. So 100 00:04:18,839 --> 00:04:20,240 Speaker 2: and that was one of the reasons that we were 101 00:04:20,240 --> 00:04:22,040 Speaker 2: already keen to do it with in New Zealand because 102 00:04:22,160 --> 00:04:24,240 Speaker 2: that's their mission to be the world's leading digital aligned 103 00:04:24,279 --> 00:04:26,400 Speaker 2: So if we can help them do that, that's fantastic. 104 00:04:26,520 --> 00:04:28,960 Speaker 1: Yeah, very cool. Mark, thanks very much, appreciate it, Mark Beta, 105 00:04:29,400 --> 00:04:31,880 Speaker 1: customer director for Enterprise and Government at SPART. 106 00:04:32,600 --> 00:04:35,760 Speaker 2: For more from Hither Duplessy Allen Drive, listen live to 107 00:04:35,839 --> 00:04:38,880 Speaker 2: news talks it'd be from four pm weekdays, or follow 108 00:04:38,920 --> 00:04:40,680 Speaker 2: the podcast on iHeartRadio.