Meeting Title: US x BF | Standup Date: 2025-07-09 Meeting participants: Caio Velasco, Emily Giant, Demilade Agboola, Amber Lin


WEBVTT

1 00:01:03.750 00:01:04.590 Demilade Agboola: Hi! Everyone.

2 00:01:05.290 00:01:06.190 Caio Velasco: Hello!

3 00:01:07.890 00:01:14.130 Emily Giant: I’m like panting. I I went outside. We’re building a garden, or we have like a

4 00:01:14.310 00:01:22.209 Emily Giant: a corn crib. It’s called and we are diying a new path with like flagstones and bricks.

5 00:01:22.470 00:01:26.969 Emily Giant: and I was looking at progress. And then I sprinted in to make the meeting on time. But now, I’m like.

6 00:01:29.060 00:01:34.530 Emily Giant: Okay, if I’m breathing really loud and heavily, that’s why I’m okay. I’m not having a heart attack.

7 00:01:40.700 00:01:41.800 Amber Lin: But I’m real out of

8 00:01:47.610 00:01:51.499 Amber Lin: okay, I’ll share my screen.

9 00:02:00.490 00:02:06.249 Amber Lin: Oh, let’s start down here. I saw a comment earlier on this.

10 00:02:06.730 00:02:10.190 Amber Lin: Yay, the layer. One has been done very exciting.

11 00:02:13.200 00:02:18.310 Caio Velasco: Yep, the God is helping me out. And we were doing like 500

12 00:02:18.760 00:02:25.980 Caio Velasco: each time, because it takes a lot of time. I think he’s running maybe the last one, but it’s it’s working. It worked for most of them. So.

13 00:02:26.290 00:02:27.150 Amber Lin: Okay.

14 00:02:27.520 00:02:41.330 Amber Lin: that’s awesome. I know we have a ticket to drop them, but I know we also put it for the next cycle. So once. This done, I think we don’t have any redshift ones for this cycle except for mine, which I will do

15 00:02:41.910 00:02:42.610 Amber Lin: no.

16 00:02:42.610 00:02:46.300 Caio Velasco: Again. These ones were the tables. We also have the views.

17 00:02:47.830 00:02:52.729 Caio Velasco: I believe with. I mean, I’m assuming it’s the same job, but I will have to also check.

18 00:02:53.400 00:02:59.169 Caio Velasco: and dropping has 2 different parts like you. I have to drop

19 00:03:00.330 00:03:07.369 Caio Velasco: where they were originally, because it was a copy that we did. It was not like moved, because there’s no moving in

20 00:03:07.500 00:03:08.760 Caio Velasco: in redshift.

21 00:03:09.050 00:03:16.999 Caio Velasco: so I have to drop them, and then we would be would have completed, because they will not be in the origin. So then we can see if anyone has problems.

22 00:03:17.140 00:03:24.040 Caio Velasco: And then, after that, dropping tables in redshift like the ticket we had would be dropping the one.

23 00:03:27.930 00:03:31.459 Caio Velasco: There’s still a little bit something, but at least we made progress.

24 00:03:31.650 00:03:35.290 Amber Lin: Copy and drop.

25 00:03:35.530 00:03:36.300 Caio Velasco: Yes.

26 00:03:36.760 00:03:37.560 Amber Lin: Okay.

27 00:03:37.720 00:03:38.400 Amber Lin: We’ll see.

28 00:03:38.400 00:03:39.819 Caio Velasco: In the same for use.

29 00:03:41.244 00:03:43.929 Amber Lin: I see there’s a new ticket.

30 00:03:44.270 00:03:45.970 Amber Lin: Let’s look at this one.

31 00:03:52.260 00:04:04.120 Emily Giant: Yes. So that’s from our meeting with Felipe this morning. Regarding inventory. So that’s like a point 5. I can do that. This sprint. It’s no problem. I just want to.

32 00:04:05.362 00:04:14.019 Emily Giant: review. If orders that should be flagged as those adjustment types are correctly getting flagged as those adjustment types post migration

33 00:04:14.170 00:04:20.465 Emily Giant: because we have active adjustment types for them in netsuite. But when I did a quick query, it looked like

34 00:04:21.279 00:04:28.539 Emily Giant: like they weren’t getting flagged the way they should, so that would be a dev team fix. If not, but

35 00:04:28.770 00:04:32.039 Emily Giant: it will be good to to know, for Demote’s work.

36 00:04:32.600 00:04:40.349 Amber Lin: Sounds good. I put it into inventory. So let’s look at.

37 00:04:40.990 00:04:49.589 Amber Lin: Oh, yay, that one’s done that’s exciting. Also, we just have just have this. Oh, oops!

38 00:04:51.260 00:04:57.280 Amber Lin: Emily, are you doing this ticket? We put it in cycle, but we don’t. I don’t know if you.

39 00:04:57.280 00:05:04.389 Emily Giant: Get out of the cycle. There is a fix that is more like

40 00:05:04.830 00:05:08.980 Emily Giant: granular that I would like to fix this cycle with

41 00:05:11.760 00:05:14.939 Emily Giant: You just take it out of the cycle. Just take it out.

42 00:05:14.940 00:05:15.990 Amber Lin: Oh, okay.

43 00:05:18.660 00:05:21.449 Amber Lin: Oh, good sounds good!

44 00:05:21.690 00:05:25.610 Amber Lin: Is any of these reviews done.

45 00:05:26.860 00:05:27.900 Emily Giant: Not yet.

46 00:05:28.090 00:05:35.270 Amber Lin: Okay, that’s all. Good alright inventory.

47 00:05:35.920 00:05:42.809 Amber Lin: Let’s see generally. Are these all on track to finish.

48 00:05:45.680 00:05:50.009 Demilade Agboola: Right now. Yes, the on board stakeholders and started the slides

49 00:05:50.610 00:05:56.820 Demilade Agboola: about like progress. We’ve done. We have the meeting tomorrow. So technically, this should be done today. Tomorrow.

50 00:05:57.804 00:06:00.060 Demilade Agboola: Add on for all.

51 00:06:00.540 00:06:04.684 Demilade Agboola: I have started looking at it, and I had the conversation with

52 00:06:05.440 00:06:09.749 Demilade Agboola: Emily today about it. So I will dig into that like later today.

53 00:06:10.540 00:06:19.949 Amber Lin: Sounds good. I guess, for Emily is. Do we have the the top dashboards for this one.

54 00:06:21.970 00:06:27.099 Emily Giant: Felipe has the dashboards, but he also operates heavily in looks.

55 00:06:27.430 00:06:27.850 Amber Lin: Yeah.

56 00:06:27.920 00:06:37.840 Emily Giant: He’s adding the looks to that same board that I linked. You may want to pop the link into the description, so that you don’t have to like scroll through.

57 00:06:38.880 00:06:39.760 Emily Giant: Yeah.

58 00:06:39.980 00:06:42.539 Amber Lin: I don’t think I can open that.

59 00:06:42.540 00:06:43.430 Emily Giant: Oh, shoot! Really.

60 00:06:43.430 00:06:50.430 Amber Lin: Have access. Look, it’s okay. As long as you guys have it, as long as we know what it is, that’s all good.

61 00:06:50.750 00:06:54.740 Emily Giant: Okay, yeah. So he’s doing that. But the dashboards are there.

62 00:06:56.160 00:07:02.579 Emily Giant: And then I can pop in the names of the dashboards. I just wanted to wait until he’d given it like one last. Once over with the looks.

63 00:07:02.580 00:07:02.930 Amber Lin: Okay.

64 00:07:02.930 00:07:04.749 Emily Giant: To finalize this one.

65 00:07:04.750 00:07:05.680 Amber Lin: That’s great.

66 00:07:06.090 00:07:07.999 Amber Lin: Okay? Sounds good.

67 00:07:10.570 00:07:13.519 Amber Lin: Kyle, how about your tickets?

68 00:07:17.200 00:07:24.059 Caio Velasco: So yeah, for the revenue I started today. If you if you do, do you mind opening the the spreadsheet.

69 00:07:24.060 00:07:24.420 Amber Lin: Yeah.

70 00:07:24.420 00:07:26.320 Caio Velasco: Then I can show you what I’ve been doing.

71 00:07:26.604 00:07:31.439 Amber Lin: Would you want to? Would you want to show me? I don’t really know where it is?

72 00:07:32.070 00:07:33.930 Caio Velasco: I give the one second.

73 00:07:38.280 00:07:49.749 Amber Lin: I was talking with a lot of yesterday. Do you think, Kyle, do you think it’ll be helpful if you and them a lot of met for, say, 10 min each day to talk about. If there’s anything that you would need help on.

74 00:07:52.933 00:07:56.810 Caio Velasco: Well, it’s always helpful, but we there’s nothing up on my mind.

75 00:07:57.340 00:08:00.960 Caio Velasco: Then I’m not sure if it’s is this about something in specific.

76 00:08:02.310 00:08:09.559 Demilade Agboola: Oh, no, just revenue base, just like, if you like. If things are going well, if there any questions you might need me to

77 00:08:09.790 00:08:13.109 Demilade Agboola: maybe help explain, or like I could help, you know.

78 00:08:13.530 00:08:13.920 Caio Velasco: Yep.

79 00:08:13.920 00:08:25.519 Demilade Agboola: Ask Emily, or whatever like, just basically like it said, it’s not gonna be like a long call. It’s just like, Oh, this day I’ve learned a bit about this part of the business. You understand how

80 00:08:26.180 00:08:29.080 Demilade Agboola: redeliveries work, whatever like the like.

81 00:08:29.080 00:08:29.414 Caio Velasco: Yes.

82 00:08:29.750 00:08:31.809 Demilade Agboola: Yeah stuff like that. It’s not. It’s not

83 00:08:32.429 00:08:38.900 Demilade Agboola: just like of like I have to say, it’s like 5 to 10 min call where it’s just like figuring out how things are coming along. And if

84 00:08:39.030 00:08:42.370 Demilade Agboola: is there anything I can help speed you up or point you in the right direction?

85 00:08:43.309 00:08:46.349 Caio Velasco: Yeah, no sounds good to me, no, no problem at all.

86 00:08:46.859 00:08:50.349 Caio Velasco: I can even. Well, now I can show like quickly.

87 00:08:50.489 00:08:58.519 Caio Velasco: It’s the scaffold scaffolding, one right at the left, and then let’s.

88 00:08:59.929 00:09:02.189 Amber Lin: After dashboards.

89 00:09:05.460 00:09:10.929 Caio Velasco: So this is what I started to do. I started from the top. So the tableau items Xf.

90 00:09:11.040 00:09:24.959 Caio Velasco: and then I was trying to understand the main logic for it, for, like what is an Id or suborder? And then I was discovering what is which one? It’s it’s a line item which one it’s suborder.

91 00:09:25.210 00:09:30.389 Caio Velasco: Where is it coming from cities? I was also trying to map a bit of the cities.

92 00:09:30.490 00:09:35.349 Caio Velasco: but that I at least have a 1st view in my in my mind, like a mind map

93 00:09:35.470 00:09:37.929 Caio Velasco: whenever I come back to it.

94 00:09:38.620 00:09:45.719 Caio Velasco: and yeah. So this would be like myself learning about how to track an order.

95 00:09:45.910 00:09:49.529 Caio Velasco: And, for example, if you go to the column? Query, I think.

96 00:09:50.544 00:09:57.910 Caio Velasco: query example? Yeah. So this was me, like, after doing all this like, okay, so let me try to just get the suborder and track it one by one.

97 00:09:58.849 00:10:04.789 Caio Velasco: For each one of them. And yeah, this is me learning this this like doing this discovery.

98 00:10:05.340 00:10:15.969 Caio Velasco: and then the next step would be to expand this with revenue stuff, because, depending on the table, you, I can see that there are costs, prices, quantities, other things.

99 00:10:16.200 00:10:23.409 Caio Velasco: So so let’s say that this was kind of addressing the audit orders ticket.

100 00:10:23.970 00:10:27.339 Caio Velasco: and then when I start to expand this to rep to. I don’t

101 00:10:27.740 00:10:35.500 Caio Velasco: subscription. Then I would be addressing the subscription ticket all the subscription ticket. So

102 00:10:35.820 00:10:38.399 Caio Velasco: so this is how I could like map things.

103 00:10:40.110 00:10:45.938 Caio Velasco: Yeah. And then this could be used like later, right? AI agents, or whatever I think should be also helpful.

104 00:10:46.860 00:10:50.890 Caio Velasco: But yeah, so at least we got that started.

105 00:10:54.400 00:11:00.530 Amber Lin: Well, I guess team, what do you think? Is this a good approach? It sounds pretty good to me.

106 00:11:07.290 00:11:09.944 Demilade Agboola: Yeah, it’s a it’s a good approach, I think.

107 00:11:11.650 00:11:15.559 Demilade Agboola: and that we’ll be able to build things about the

108 00:11:16.380 00:11:19.910 Demilade Agboola: like revenue and kind of understand where it comes from and how it flows.

109 00:11:22.510 00:11:29.270 Demilade Agboola: yeah, I think it’s just important as we’re doing this to keep the end goal in mind which is like, you know, we want to be able to say.

110 00:11:29.480 00:11:37.120 Demilade Agboola: this is how everything is currently calculated. And these are the potential like issues with the current system, and where we can

111 00:11:37.450 00:11:42.190 Demilade Agboola: before we start building, where we can optimize the process. And we build things differently.

112 00:11:43.890 00:11:47.060 Caio Velasco: Yeah, perfect, perfect. Alright, I’m trying to keep that in mind. And

113 00:11:47.583 00:12:00.979 Caio Velasco: well, each each time that I’m expanding that to subscription refunds and other things. I think at the end of the day we are exactly building the the revenue equation. Let’s say how of and understanding how things work.

114 00:12:01.884 00:12:06.919 Caio Velasco: Yeah. Well, so I’ll try to spend like few more days or meaning few more hours.

115 00:12:07.340 00:12:12.110 Caio Velasco: And then we can always sync with those 5, 10 min as well.

116 00:12:14.060 00:12:14.810 Demilade Agboola: Okay.

117 00:12:14.810 00:12:15.520 Demilade Agboola: Sounds good.

118 00:12:15.920 00:12:16.520 Amber Lin: Yeah.

119 00:12:16.520 00:12:32.460 Amber Lin: So the I I assume the deliverable for each of these audit tickets would be pretty similar, right? So for the audit orders ticket it would just be. It would be everything that you just shown related to what is an order.

120 00:12:32.840 00:12:33.220 Caio Velasco: Yep.

121 00:12:33.220 00:12:51.410 Amber Lin: What would go after transactions cause I made the ticket with AI, and for very little insight into what it will look like. What would the deliverable for your next ticket look like? Would it be like answering, what is a transaction? But I don’t know what it will look like.

122 00:12:52.920 00:12:59.819 Caio Velasco: Yeah, yeah, I mean, even, I mean, if I continue in that way, I think next one could be, what is a subscription, for example.

123 00:12:59.950 00:13:02.160 Caio Velasco: and the next one, what is a refund.

124 00:13:02.670 00:13:07.499 Caio Velasco: and any other thing that that might we might find along the way

125 00:13:07.690 00:13:16.420 Caio Velasco: transaction, for example, I don’t even know what it is. Why would that be different than order or suborder? So I haven’t got to that part yet

126 00:13:16.580 00:13:32.770 Caio Velasco: to be able to generate a question. But, for example, now they’re saying that there are transactions. Maybe that’s related to payment transactions. That’s what you mean. So yeah, I will have to discover those things in the process. So, yeah, if there is a transaction, I would be putting a question there, what is the transaction.

127 00:13:35.480 00:13:36.240 Amber Lin: Okay.

128 00:13:36.810 00:13:53.079 Amber Lin: Sounds good. I think that’s all we have for today. Tomorrow we’re meeting with the inventory with all the stakeholders. Demo, do you want to show the presentation you wanna you want to present tomorrow.

129 00:13:54.900 00:13:55.870 Demilade Agboola: Crape out.

130 00:13:56.530 00:13:57.860 Demilade Agboola: It’s still full.

131 00:13:57.860 00:14:00.009 Amber Lin: Not ready. You can show us tomorrow.

132 00:14:00.010 00:14:06.160 Demilade Agboola: Yeah, no, but I’ll send it to you before end of day. So you can also, like you can go through it before we meet with the team tomorrow. So.

133 00:14:06.390 00:14:12.929 Amber Lin: Okay, sounds good. I’ll go check. Who’s gonna Emily? I guess both of us can go check. Who will actually be there?

134 00:14:13.840 00:14:15.459 Demilade Agboola: Oh, it’s a full. I’ve looked at the.

135 00:14:17.720 00:14:19.860 Demilade Agboola: It’s going to be a full team, basically.

136 00:14:19.860 00:14:24.159 Emily Giant: Yeah, I think so. After last week, when everyone was gone, one will be here.

137 00:14:24.160 00:14:25.260 Amber Lin: Okay.

138 00:14:25.260 00:14:25.990 Emily Giant: Or should.

139 00:14:25.990 00:14:27.390 Amber Lin: That’s awesome.

140 00:14:28.470 00:14:29.170 Emily Giant: Yeah.

141 00:14:29.170 00:14:31.489 Amber Lin: Alright! Thanks, everybody!

142 00:14:31.770 00:14:32.999 Demilade Agboola: Right. Thank you.

143 00:14:33.000 00:14:33.880 Caio Velasco: Thank you. Thank you.

144 00:14:33.880 00:14:35.840 Amber Lin: Alright, bye.