1 00:00:01,320 --> 00:00:04,600 Speaker 1: This is taking stock with Gadlie Hayes and grim Box 2 00:00:04,760 --> 00:00:10,399 Speaker 1: on Bloomberg Radio, changing the way businesses operate. While that 3 00:00:10,600 --> 00:00:13,400 Speaker 1: is the focus of aptis, and here to tell us 4 00:00:13,520 --> 00:00:16,560 Speaker 1: more about aptus and what it does and how it 5 00:00:16,600 --> 00:00:20,759 Speaker 1: can help create value in a variety of industries, particularly 6 00:00:21,200 --> 00:00:26,720 Speaker 1: using artificial intelligence. Kirk Crape is the chief executive and 7 00:00:26,960 --> 00:00:30,920 Speaker 1: the co founder of Aptus. They're based in San Mateo, California, 8 00:00:31,040 --> 00:00:33,159 Speaker 1: and he joins us now. Kirk, thank you very much 9 00:00:33,159 --> 00:00:35,559 Speaker 1: for being with us. Thank you so much, very much 10 00:00:35,560 --> 00:00:37,720 Speaker 1: appreciated to tell him thank you now. I also want 11 00:00:37,720 --> 00:00:40,720 Speaker 1: to note that you are a noted author as well. 12 00:00:40,960 --> 00:00:46,320 Speaker 1: The book is called Intelligent Quote to Cash, and maybe 13 00:00:46,479 --> 00:00:49,000 Speaker 1: the best way to start is by you explaining the 14 00:00:49,040 --> 00:00:53,000 Speaker 1: title of that book and how it connects with Aptus. 15 00:00:54,120 --> 00:00:57,600 Speaker 1: I will, indeed so so netting it out. Quote to 16 00:00:57,760 --> 00:01:02,160 Speaker 1: Cash is the business process that connects typically your self 17 00:01:02,160 --> 00:01:05,800 Speaker 1: force automation tool to your financial tool. So you may 18 00:01:05,880 --> 00:01:09,160 Speaker 1: use self force for selforce automation s a people your 19 00:01:09,200 --> 00:01:12,120 Speaker 1: financial tool, and the process that connects them is called 20 00:01:12,200 --> 00:01:16,920 Speaker 1: quote to cash. And historically quote to cash hasn't really 21 00:01:16,959 --> 00:01:21,280 Speaker 1: been automated very much, and act as our business we 22 00:01:21,360 --> 00:01:25,600 Speaker 1: began about ten years ago where we assemble the product 23 00:01:25,600 --> 00:01:29,039 Speaker 1: footprint that does exactly that. So quote to Cash is 24 00:01:29,080 --> 00:01:32,160 Speaker 1: a series of apps that essentially connect those two systems. 25 00:01:32,680 --> 00:01:35,680 Speaker 1: The word intelligent has come about in the last eighteen 26 00:01:35,720 --> 00:01:39,480 Speaker 1: months because we began to realize more and more that 27 00:01:39,720 --> 00:01:45,000 Speaker 1: not only automating the process is of high value to customers, 28 00:01:45,040 --> 00:01:49,040 Speaker 1: but in fact there's so much data and insights trapped 29 00:01:49,080 --> 00:01:51,560 Speaker 1: in in this process that if you could have a 30 00:01:51,600 --> 00:01:55,640 Speaker 1: machine learning or an AI official intelligence type tool to 31 00:01:55,880 --> 00:01:59,440 Speaker 1: mind that data, you can dramatically improve the benefits ful 32 00:01:59,520 --> 00:02:02,440 Speaker 1: for clients, not just automating the process, but giving giving 33 00:02:02,480 --> 00:02:06,200 Speaker 1: insights and helping revenue much more significantly. So that's that's 34 00:02:06,280 --> 00:02:08,880 Speaker 1: the genesis of the intelligent quote and the new book. Again, 35 00:02:08,960 --> 00:02:13,080 Speaker 1: let's give the titless intelligent Quote to Cash by Kirk Krope, 36 00:02:13,120 --> 00:02:17,080 Speaker 1: who is our guest, the co founder and CEO of Aptus. 37 00:02:17,200 --> 00:02:20,080 Speaker 1: Very excited, of course, you are a dream Force this 38 00:02:20,160 --> 00:02:29,079 Speaker 1: week and you are launching MAX Artificial Intelligence Technology. Dream Force. 39 00:02:29,160 --> 00:02:32,520 Speaker 1: What there's over a hundred and seventy thousand people there 40 00:02:32,800 --> 00:02:38,640 Speaker 1: from over eighty three countries. So tell us about MAX. Yes, So, 41 00:02:38,639 --> 00:02:44,200 Speaker 1: so MAX is basically a female intelligent agents and what 42 00:02:44,360 --> 00:02:47,760 Speaker 1: she does is your work for you, and we're not 43 00:02:47,800 --> 00:02:52,119 Speaker 1: surprised that she's female, right, I know what to get 44 00:02:52,120 --> 00:02:56,359 Speaker 1: those comments actually, but but so so she will basically 45 00:02:56,360 --> 00:02:59,799 Speaker 1: execute anything you want. So, for instance, if you want 46 00:02:59,840 --> 00:03:03,000 Speaker 1: to create a quote for a customer, instead of going 47 00:03:03,120 --> 00:03:06,720 Speaker 1: inter application logging on selecting your products and going through 48 00:03:06,960 --> 00:03:10,880 Speaker 1: sort of a laborious clickthrough, you'll simply talk to Max 49 00:03:10,919 --> 00:03:14,240 Speaker 1: and say, Max, create a quote, and she will interact 50 00:03:14,280 --> 00:03:17,680 Speaker 1: with you. She would say for which customer, which products, 51 00:03:17,720 --> 00:03:20,520 Speaker 1: and she will go and do all the Monday tasks 52 00:03:20,560 --> 00:03:23,040 Speaker 1: that typically a sales person and somebody else might do. 53 00:03:23,120 --> 00:03:26,239 Speaker 1: So the whole concept of Max is to make your 54 00:03:26,360 --> 00:03:31,160 Speaker 1: interaction with your application conversational as opposed to physical hitting keyboards, 55 00:03:31,240 --> 00:03:35,440 Speaker 1: and have her really access to data the information performing 56 00:03:35,480 --> 00:03:37,560 Speaker 1: your task in a much more intelligent way, and she 57 00:03:37,720 --> 00:03:41,560 Speaker 1: is being unveiled to sweeps Kirk, I just wonder if 58 00:03:41,560 --> 00:03:44,440 Speaker 1: we could put a name on the customer. I've looked 59 00:03:44,440 --> 00:03:47,560 Speaker 1: at some of the examples, but you know, Trimble is 60 00:03:47,600 --> 00:03:50,520 Speaker 1: an example of one company that you've done business with, 61 00:03:50,640 --> 00:03:52,240 Speaker 1: or maybe you want to select another one, But just 62 00:03:52,560 --> 00:03:54,880 Speaker 1: give us an idea of a of a customer and 63 00:03:55,280 --> 00:03:58,000 Speaker 1: what you've done to help them change the way they 64 00:03:58,040 --> 00:04:02,560 Speaker 1: do business. So I mean to point out a single 65 00:04:02,680 --> 00:04:06,880 Speaker 1: name customer and talk about that would be probably very specific, 66 00:04:06,880 --> 00:04:09,960 Speaker 1: but let me give you broadly what we do. The 67 00:04:10,320 --> 00:04:15,280 Speaker 1: process we touch is revenue management. So if we perform 68 00:04:15,400 --> 00:04:18,000 Speaker 1: the quoting process better, that is the process where you 69 00:04:18,120 --> 00:04:21,160 Speaker 1: provide pricing to you customer. If we perform the contract 70 00:04:21,200 --> 00:04:24,880 Speaker 1: management process better, which is ultimately the blueprint for your 71 00:04:24,920 --> 00:04:27,880 Speaker 1: trading relationship. And if we perform the revenue management those 72 00:04:27,880 --> 00:04:31,040 Speaker 1: three things are quote to cash. These these have dramatic 73 00:04:31,120 --> 00:04:35,440 Speaker 1: impact to customers. If they reduced the cycle time, they 74 00:04:35,560 --> 00:04:40,200 Speaker 1: increase the actual revenue, reduced revenue leakage, provide all sorts 75 00:04:40,200 --> 00:04:43,200 Speaker 1: of other insights, So to pick one just top of 76 00:04:43,240 --> 00:04:46,360 Speaker 1: head would probably do it a great injustice. But largely 77 00:04:46,760 --> 00:04:50,760 Speaker 1: uh this revenue management process and small percentage improvements can 78 00:04:50,839 --> 00:04:53,800 Speaker 1: result in tremendous games for formit and out such company. Now, 79 00:04:53,800 --> 00:04:56,240 Speaker 1: you're looking to do an I p O potentially as 80 00:04:56,279 --> 00:04:58,640 Speaker 1: soon as next year, and you have said recently year 81 00:04:58,760 --> 00:05:02,159 Speaker 1: you think the elections, you selections, whether the US elections 82 00:05:02,160 --> 00:05:04,240 Speaker 1: are hurting everything, including the I P O market, that's 83 00:05:04,279 --> 00:05:10,680 Speaker 1: your view I'm originally from England, so I'm not as 84 00:05:10,720 --> 00:05:14,000 Speaker 1: in with with this sort of politics of the US, 85 00:05:14,080 --> 00:05:17,080 Speaker 1: but I will say we were actually at one point 86 00:05:17,120 --> 00:05:21,000 Speaker 1: thinking about ipeering this year. Uh and then just generally 87 00:05:21,240 --> 00:05:24,240 Speaker 1: election years typically end up not being the best years 88 00:05:24,400 --> 00:05:27,640 Speaker 1: necessarily to do that, so we we did decide that 89 00:05:27,680 --> 00:05:29,640 Speaker 1: we will delay our IPO to the first half of 90 00:05:29,720 --> 00:05:32,840 Speaker 1: next year. But there's also other reasons for that. It's 91 00:05:32,880 --> 00:05:36,280 Speaker 1: not purely election. That's one very small aspect. We're around 92 00:05:36,320 --> 00:05:39,080 Speaker 1: a hundred and fifty million revenue company. We're growing roughly 93 00:05:39,120 --> 00:05:43,200 Speaker 1: six year and years. We have great optics and great metrics. 94 00:05:43,520 --> 00:05:45,599 Speaker 1: But but close half of next year will be in 95 00:05:45,600 --> 00:05:48,800 Speaker 1: a poised position to really take advantage of all the 96 00:05:48,839 --> 00:05:51,240 Speaker 1: other things that we're doing in the marketplace, and hopefully 97 00:05:51,240 --> 00:05:54,400 Speaker 1: the cattle markets are are good at that point too. Well. 98 00:05:54,480 --> 00:05:57,800 Speaker 1: Kirk Crupper, thank you for joining us today. CEO, co 99 00:05:57,960 --> 00:06:05,679 Speaker 1: founder of Aptis. They have a new artificial intelligence technology Max. 100 00:06:05,800 --> 00:06:10,040 Speaker 1: She's very intelligent. She's debuting Salesforces Big Dream Force event 101 00:06:10,160 --> 00:06:13,920 Speaker 1: in San Francisco this week. Kirk's also debuting his new book, 102 00:06:13,960 --> 00:06:17,279 Speaker 1: Intelligent Quote to Cash. I'm Cafe Hazel and PM Fox 103 00:06:17,279 --> 00:06:20,960 Speaker 1: Sanks so much for joining us today. We'll see you 104 00:06:21,000 --> 00:06:23,279 Speaker 1: back here tomorrow. This is Bloomberg