Meeting Title: US x BF | Standup Date: 2025-07-17 Meeting participants: Emily Giant, Demilade Agboola, Amber Lin


WEBVTT

1 00:00:48.880 00:00:49.820 Demilade Agboola: I’m new.

2 00:00:50.740 00:00:52.059 Emily Giant: Hi! How are you?

3 00:00:52.650 00:00:53.910 Demilade Agboola: I’m doing well. How are you?

4 00:00:55.380 00:00:56.090 Emily Giant: Good,

5 00:01:00.250 00:01:03.119 Demilade Agboola: Screen dimensions. What is an Ia.

6 00:01:04.830 00:01:05.720 Emily Giant: IA.

7 00:01:06.180 00:01:06.800 Demilade Agboola: Yes.

8 00:01:06.800 00:01:08.400 Emily Giant: Inventory adjustment.

9 00:01:09.020 00:01:11.840 Demilade Agboola: Oh, okay. Okay. Okay. Gotcha.

10 00:01:13.100 00:01:13.510 Demilade Agboola: I can.

11 00:01:13.510 00:01:17.630 Emily Giant: Yeah, so that can mean a sale or a reconciliation.

12 00:01:18.860 00:01:22.389 Emily Giant: but just means that the inventory was changed.

13 00:01:23.190 00:01:23.860 Demilade Agboola: Got them.

14 00:01:24.420 00:01:32.659 Emily Giant: Did Felipe? Oh, no, you’re probably looking at a model because we moved our meeting. I was, gonna say, did Felipe say IA bunch of times, because he says IA.

15 00:01:33.430 00:01:38.539 Demilade Agboola: Yeah, I actually messaged him. And he he texted I to me. So I was.

16 00:01:39.390 00:01:43.560 Demilade Agboola: It’s a bit confused, but that makes a little sense.

17 00:01:43.930 00:01:49.390 Emily Giant: That’s what it is. I’m about to deploy all those changes. I was just doing more testing but

18 00:01:49.780 00:01:53.509 Emily Giant: I’m getting the looker file ready to go so hopefully by our meeting.

19 00:01:53.860 00:01:58.019 Emily Giant: I think it’ll be ready by the time we’re doing our 12 o’clock with Felipe.

20 00:01:58.620 00:02:02.269 Demilade Agboola: Okay. So I have actually added the floral goods part to it.

21 00:02:02.570 00:02:07.410 Demilade Agboola: I’m trying to figure out how to add the uncommitted.

22 00:02:07.960 00:02:13.380 Emily Giant: Do you? So do you know the way we’re currently doing? It’s it’s it counts every single time an order is fulfilled.

23 00:02:13.980 00:02:19.570 Demilade Agboola: Where it couldn’t be met by that. But it doesn’t actually count the order.

24 00:02:19.990 00:02:20.970 Demilade Agboola: How do I put it?

25 00:02:21.330 00:02:23.180 Demilade Agboola: So if someone had a firecracker.

26 00:02:23.690 00:02:26.610 Demilade Agboola: and instead got something else right.

27 00:02:27.040 00:02:34.560 Demilade Agboola: It would mark that 2, the quantity, 2 quantities of whatever were used to fill the firework order.

28 00:02:34.700 00:02:38.310 Demilade Agboola: But Felipe apparently wants to see that

29 00:02:39.740 00:02:43.850 Demilade Agboola: the thing that was used to fulfill the firecracker order it should

30 00:02:44.330 00:02:48.420 Demilade Agboola: as uncommond on that lot, on that product

31 00:02:49.090 00:02:52.090 Demilade Agboola: that way. They know where the products are missing.

32 00:02:52.760 00:02:56.929 Demilade Agboola: or why the products are not sufficient, which is not what we’re currently showing.

33 00:03:00.330 00:03:02.399 Emily Giant: Don’t worry about that because

34 00:03:04.137 00:03:09.200 Emily Giant: the Dev team is creating a new custom field. That will do that for us.

35 00:03:09.910 00:03:10.600 Demilade Agboola: Okay.

36 00:03:10.600 00:03:15.180 Emily Giant: And and that way we don’t have to work that into the logic because it’s really complicated

37 00:03:15.600 00:03:19.480 Emily Giant: to do that like, essentially, we’d have to

38 00:03:20.600 00:03:29.370 Emily Giant: backtrack. No, I guess it’s not that complicated. But it’s in transaction line where you see the change, but because we have to

39 00:03:30.121 00:03:34.950 Emily Giant: do a window function to pull the most recent record. It’s gonna skip over that record

40 00:03:35.070 00:03:40.770 Emily Giant: with the item. But I guess you could do like the last instance of that item.

41 00:03:41.570 00:03:43.853 Emily Giant: Anyway, we can go over during the

42 00:03:44.440 00:03:47.840 Emily Giant: during the working session. But I feel like

43 00:03:48.640 00:03:57.500 Emily Giant: that might be more effort than you need to put in, because that is gonna put a marker in netsuite for that, for, like forced upgrades.

44 00:03:58.600 00:04:00.109 Demilade Agboola: Okay. Sounds good. Then.

45 00:04:00.770 00:04:01.110 Emily Giant: Yep.

46 00:04:06.840 00:04:09.730 Amber Lin: Hello, Emily! Are you at the airport.

47 00:04:10.310 00:04:20.250 Emily Giant: And I’m in the Detroit airport. I do this all the time where I fly in before the day starts, and I fly out after the workday ends. So my next flights at like 4 30 in the afternoon.

48 00:04:20.760 00:04:22.160 Amber Lin: Wow!

49 00:04:22.160 00:04:22.660 Emily Giant: Yeah.

50 00:04:22.660 00:04:24.390 Amber Lin: Doing in Detroit.

51 00:04:25.100 00:04:30.450 Emily Giant: I live in Indiana, so it’s only 30 min, so I take a quick flight here, and then it’s a delta hub.

52 00:04:30.850 00:04:36.607 Emily Giant: and my boyfriend. Sounds Cecily Con and my boyfriend, because we’ve been together for like 10 years. But

53 00:04:37.100 00:04:42.699 Emily Giant: He’s a pilot for Delta, so it’s 1 of the hubs, and I can fly like for free out of

54 00:04:42.800 00:04:45.099 Emily Giant: most of the Delta hubs. So.

55 00:04:45.100 00:04:46.400 Amber Lin: Wow! It’s going just fine.

56 00:04:47.590 00:04:51.449 Emily Giant: So I’m going to Charleston, South Carolina, this weekend to see my friends. I used to live down there.

57 00:04:52.170 00:04:53.640 Amber Lin: That’s so. Fun.

58 00:04:53.880 00:04:56.939 Emily Giant: It’s gonna be so hot it’s gonna be gross.

59 00:04:57.150 00:04:58.694 Emily Giant: But oh, well.

60 00:04:59.210 00:05:01.249 Amber Lin: Gonna say, your friend’s house. So it’s fine.

61 00:05:01.250 00:05:09.141 Emily Giant: Yeah, yeah, I I haven’t gone like outside in like a year. So I’m hoping to get like some sun on my body.

62 00:05:09.756 00:05:10.329 Amber Lin: Very good.

63 00:05:10.330 00:05:10.710 Emily Giant: Okay. Okay.

64 00:05:12.710 00:05:14.690 Amber Lin: Okay.

65 00:05:15.180 00:05:21.669 Amber Lin: I know that there was a few prs that was approved. Can any of these be closed?

66 00:05:33.670 00:05:41.860 Emily Giant: I don’t wanna close it just yet. Because I haven’t deployed it yet, but I will close it like by the end of today. It’s all like done. I just need to like.

67 00:05:41.860 00:05:42.240 Amber Lin: Okay.

68 00:05:42.240 00:05:44.020 Emily Giant: Push the big red button.

69 00:05:44.400 00:05:52.510 Amber Lin: Okay, awesome. I know. Uton gave a little bit of feedback for the technical design document.

70 00:05:53.328 00:05:57.159 Amber Lin: Oh, my bad, not that one.

71 00:05:58.240 00:05:59.175 Amber Lin: And

72 00:06:02.700 00:06:04.320 Amber Lin: let me see.

73 00:06:08.770 00:06:12.409 Emily Giant: Did have some questions about this ticket. So

74 00:06:12.690 00:06:19.560 Emily Giant: for this one, this is like a proposal, right? Like we’ll create it and then put a meeting on with Zach and Alex, and go over it

75 00:06:20.240 00:06:23.720 Emily Giant: and get feedback, and then like iterate on it. Okay.

76 00:06:23.720 00:06:24.370 Amber Lin: Yeah.

77 00:06:25.023 00:06:33.700 Amber Lin: Later today, I don’t know if this document is completely done. We don’t, because we don’t give a few feedback.

78 00:06:33.930 00:06:35.534 Amber Lin: Yesterday.

79 00:06:38.150 00:06:41.669 Demilade Agboola: Is that the link to the document? Because I shared that? I’m not sure.

80 00:06:42.201 00:06:47.519 Amber Lin: Yeah, no, that’s the here. I’ll paste it in here.

81 00:06:47.860 00:06:51.319 Amber Lin: So the document is right here.

82 00:06:52.290 00:06:59.860 Amber Lin: and Utam and Awaish gave quite a few comments and

83 00:07:06.090 00:07:13.360 Amber Lin: notes from it’s very messy and not ready to be shared with clients. And so

84 00:07:21.430 00:07:24.300 Amber Lin: let me just share screen. We can

85 00:07:24.410 00:07:26.779 Amber Lin: take a quick look at what he said.

86 00:07:27.810 00:07:32.580 Amber Lin: So here is.

87 00:07:33.050 00:07:39.600 Amber Lin: Here’s the talk which one left some comments, and then

88 00:07:47.120 00:07:48.570 Amber Lin: there’s that.

89 00:07:50.900 00:08:00.189 Amber Lin: Yeah. So I think he mentioned to not that one to Kyle, that we should

90 00:08:02.480 00:08:06.589 Amber Lin: like a proposal for the new data model of

91 00:08:06.850 00:08:19.669 Amber Lin: what tables are, what their goal is. We can include the audit in the technical design document and then include the relationship with the different tables. And then what to do? What?

92 00:08:20.500 00:08:24.859 Amber Lin: How do what do new tables replace from older models.

93 00:08:25.360 00:08:34.709 Amber Lin: And I think today, when we meet with, I will probably just talk about what we did with inventory and deprecations.

94 00:08:35.429 00:08:39.209 Amber Lin: Do. We have, like a quick review from Felipe

95 00:08:39.490 00:08:41.710 Amber Lin: of how we did so far.

96 00:08:47.718 00:08:49.709 Demilade Agboola: So not review per se.

97 00:08:50.340 00:08:57.050 Demilade Agboola: But he’s been able to say that, like the business impact of being able to have like the numbers.

98 00:08:58.505 00:09:05.150 Demilade Agboola: So basically, having numbers will allow him to do better.

99 00:09:05.986 00:09:11.650 Demilade Agboola: Weekly analysis of Gpis and understand things around eventual adjustments.

100 00:09:12.952 00:09:16.570 Demilade Agboola: Whether, like the shrinkage as foliage numbers make sense.

101 00:09:17.387 00:09:24.379 Demilade Agboola: The uncommitted committed numbers so that we, they can identify the root causes and correct it.

102 00:09:24.550 00:09:34.009 Demilade Agboola: since it has a huge impact. So basically, we need to know Australian holidays being to know whether they have enough stock or they have enough inventory on hand at every single point in time

103 00:09:34.110 00:09:36.139 Demilade Agboola: or available point in time.

104 00:09:37.700 00:09:38.979 Demilade Agboola: And then the

105 00:09:39.080 00:09:46.810 Demilade Agboola: there’s a request for supporters broken down by components and map types is, for, you know, packaging utilization exercise, which you do once a cycle.

106 00:09:47.430 00:09:48.974 Amber Lin: Okay, I mean,

107 00:09:49.670 00:10:02.839 Amber Lin: it’s thinking how we’re gonna present to Zack. Right? Cause say, like, we can give him these scraps of information that we gathered, or we can have, like a overall view of

108 00:10:02.970 00:10:11.099 Amber Lin: what was inventory before, what is the current state and what’s left to be done?

109 00:10:11.410 00:10:16.260 Amber Lin: And then same with deprecations of like, how much.

110 00:10:16.490 00:10:24.270 Amber Lin: how much we’d be able to do, and then we should also tell him how much we expect revenue to take

111 00:10:26.290 00:10:30.320 Amber Lin: like, that’s my, that’s what I’m thinking of.

112 00:10:34.690 00:10:39.240 Amber Lin: I’m hmm.

113 00:10:41.590 00:10:42.580 Amber Lin: Okay.

114 00:10:50.600 00:10:56.189 Amber Lin: Would we be able to make a quick slide for Zack.

115 00:11:14.150 00:11:15.190 Demilade Agboola: I don’t know.

116 00:11:18.420 00:11:24.780 Amber Lin: I guess my point is that, do you? Can you help me articulate what we’ve done so far?

117 00:11:27.320 00:11:30.159 Demilade Agboola: Okay, are you going to be building off the

118 00:11:34.700 00:11:35.450 Demilade Agboola: awesome?

119 00:11:37.380 00:11:41.279 Demilade Agboola: What do you mean so far? Are you talking about this spring like what timeframe. Are we looking at.

120 00:11:41.876 00:11:44.300 Amber Lin: In general, like, since we’ve helped them.

121 00:11:45.120 00:11:45.930 Demilade Agboola: Oh, okay.

122 00:11:46.822 00:11:54.687 Demilade Agboola: I mean, yeah, we could definitely use the slides that I made for the general inventory updates as it is. And then just add stuff around

123 00:11:57.420 00:11:58.700 Amber Lin: Yeah, I think.

124 00:11:58.700 00:11:59.030 Demilade Agboola: That’s right.

125 00:11:59.460 00:12:04.190 Amber Lin: Yeah, I’ll grab the original slides. We did for the audit

126 00:12:05.292 00:12:11.110 Amber Lin: and then show him what it what it looks like.

127 00:12:12.070 00:12:13.090 Demilade Agboola: Okay. Yeah.

128 00:13:12.730 00:13:14.100 Amber Lin: Hmm.

129 00:13:20.300 00:13:24.030 Amber Lin: okay. So this is great. I’m glad we have

130 00:13:24.350 00:13:29.229 Amber Lin: this one. I think we’re already halfway through the

131 00:13:30.370 00:13:33.399 Amber Lin: when we say we’re like here or here.

132 00:13:41.160 00:13:42.260 Amber Lin: Hello.

133 00:13:43.460 00:13:51.730 Demilade Agboola: Oh, sorry. Yeah, we’re at. Yeah, we’re that points for. So we’ve actually kind of done the non follow parts.

134 00:13:51.990 00:13:52.390 Amber Lin: Edge.

135 00:13:52.390 00:13:58.559 Amber Lin: So we’re kind of like earlier at Qa and Edge and Edge cases, which is where, like Felipe has been.

136 00:13:59.000 00:14:00.590 Demilade Agboola: Very helpful.

137 00:14:00.640 00:14:02.710 Amber Lin: Okay, that’s awesome.

138 00:14:03.270 00:14:05.730 Amber Lin: So Android overview

139 00:14:08.920 00:14:15.920 Amber Lin: is there like a state before stitch?

140 00:14:16.320 00:14:24.310 Amber Lin: Okay, so this is like inventory before. And I don’t see much of a difference.

141 00:14:24.700 00:14:26.359 Amber Lin: Oh, this is after.

142 00:14:26.500 00:14:27.900 Amber Lin: Okay.

143 00:14:33.050 00:14:35.770 Amber Lin: okay, so we did the inventory mark.

144 00:14:36.560 00:14:46.140 Amber Lin: can we illustrate the impact of this? Can we have a slide that talks about what the impact is.

145 00:14:49.100 00:14:49.910 Demilade Agboola: Yeah.

146 00:14:51.160 00:14:54.550 Amber Lin: What do you think is the main impact for.

147 00:14:56.820 00:15:03.180 Demilade Agboola: Basically visibility into data, into numbers that have always existed, but haven’t been on Earth.

148 00:15:06.400 00:15:08.790 Amber Lin: Would you? Would you mind saying that again.

149 00:15:10.281 00:15:18.090 Demilade Agboola: Unearthing numbers that allows the open something to make better decisions about inventory.

150 00:15:18.360 00:15:19.770 Amber Lin: It’s high, level.

151 00:15:30.350 00:15:35.620 Demilade Agboola: Also gathering all the numbers into one central location.

152 00:15:36.580 00:15:45.389 Demilade Agboola: So before you will take time for people to like, go around different reports and different systems to get these same numbers. But it’s not like centralized.

153 00:16:02.530 00:16:13.779 Amber Lin: okay, is, is the revenue timeline kind of gonna look like this.

154 00:16:17.515 00:16:22.264 Demilade Agboola: No, I won’t say timeline looks like this, because some parts are different.

155 00:16:22.630 00:16:22.980 Amber Lin: Oh, okay.

156 00:16:22.980 00:16:24.660 Demilade Agboola: It’s its own little thing.

157 00:16:25.410 00:16:33.409 Demilade Agboola: We’re not like setting up atomic, for instance, but like we’ll have to nail down business logic and we’ll rebuild and evaluate things like that. So.

158 00:16:34.520 00:16:35.350 Amber Lin: Hmm!

159 00:16:44.570 00:16:48.820 Amber Lin: We have to do validation dashboards early on.

160 00:16:52.430 00:16:54.110 Demilade Agboola: After we rebuild. Yes.

161 00:16:55.290 00:16:55.770 Amber Lin: Oh! So!

162 00:16:55.770 00:17:03.009 Demilade Agboola: We want to be sure. Yeah. So once you build the models, we’re validating and trying to start pushing out the numbers into dashboards.

163 00:17:03.950 00:17:08.340 Amber Lin: Oh, right! So does this and this

164 00:17:08.540 00:17:12.560 Amber Lin: like which one should be the true.

165 00:17:12.560 00:17:13.160 Demilade Agboola: Hello.

166 00:17:13.480 00:17:21.289 Demilade Agboola: so this, this is based off. This is based off inventory flow. So we had different phases in which we integrate and define things.

167 00:17:21.450 00:17:26.140 Demilade Agboola: and as a result we had to roll out these new numbers into the dashboards

168 00:17:26.760 00:17:32.309 Demilade Agboola: revenue. I don’t actually think revenue would be the same flow. It it could be.

169 00:17:32.310 00:17:32.980 Amber Lin: Like this.

170 00:17:32.980 00:17:38.310 Demilade Agboola: Sure. But yes, because

171 00:17:41.050 00:17:50.169 Demilade Agboola: I think of how it’s a high level. Think of it. So with inventory like we inventory, there are different parts of it. There was the adjustment types. There was the

172 00:17:51.593 00:17:53.339 Demilade Agboola: things around.

173 00:17:54.303 00:18:00.519 Demilade Agboola: Not for hard codes. But in this case what we’re thinking of will be

174 00:18:01.314 00:18:07.919 Demilade Agboola: it’s kind of like all the orders and transactions and promos, and all that stuff that we’ve been kind of doing.

175 00:18:08.160 00:18:11.309 Demilade Agboola: It’s kind. It will be rolling everything together.

176 00:18:16.570 00:18:26.843 Demilade Agboola: I don’t necessarily think it would be the same flow, because part of why we did this flow was also because we, because of mother’s day. We didn’t have to make a lot of changes, so it would be less

177 00:18:28.660 00:18:30.390 Demilade Agboola: It’ll be less like a

178 00:18:31.220 00:18:38.359 Demilade Agboola: I don’t. It will be less like one thing. Then we pause. Another thing, it will be more like things, maybe happening more in parallel.

179 00:18:39.000 00:18:42.250 Amber Lin: Hmm, okay, so can I cut out like.

180 00:18:42.892 00:18:52.520 Amber Lin: I just wanna give him like a general sense of how we’re gonna spend our time for the next few months, because next few sprints, especially because I think

181 00:18:53.223 00:19:09.499 Amber Lin: like, if he’s on the if I were him, I was like, what are these guys doing? Where is my money going like? Why haven’t they told me anything? So this is just to give him a sense of like what what we’re spending time on.

182 00:19:10.760 00:19:17.380 Emily Giant: I would definitely mention, like replacing the hebo tables with shopify like native shopify tables.

183 00:19:17.900 00:19:20.650 Emily Giant: He’s gonna want to hear that. And we are doing that. So.

184 00:19:26.400 00:19:30.640 Amber Lin: When is that happening like early August or now.

185 00:19:31.770 00:19:33.170 Demilade Agboola: Like this month.

186 00:19:36.200 00:19:36.910 Amber Lin: Okay, so.

187 00:19:37.605 00:19:38.300 Demilade Agboola: Yeah.

188 00:19:38.660 00:19:43.140 Amber Lin: Put it down around here.

189 00:19:44.030 00:19:49.539 Demilade Agboola: I would say it comes before we build into Dbt models, because we don’t want to rebuild models based off old data.

190 00:19:49.880 00:19:56.929 Amber Lin: Hmm, very smart. Okay, let’s scoot that up here. Is it happening right now?

191 00:20:00.400 00:20:06.849 Demilade Agboola: So we’re still again, it’s still largely at the focus on, like nailing down the business object, which is what Kyle is doing.

192 00:20:07.050 00:20:12.310 Demilade Agboola: But yeah, it shouldn’t take too long to start and start reposting that

193 00:20:13.240 00:20:14.980 Demilade Agboola: like I can always hop things about.

194 00:20:27.450 00:20:30.660 Amber Lin: When are we starting to contact stakeholders.

195 00:20:34.540 00:20:35.539 Emily Giant: Like the earliest.

196 00:20:35.870 00:20:36.340 Amber Lin: Thanks.

197 00:20:36.340 00:20:40.100 Emily Giant: That particular thing, or just like about revenue.

198 00:20:40.677 00:20:42.410 Amber Lin: Like anything revenue

199 00:20:45.430 00:20:48.200 Amber Lin: can we start like after next week?

200 00:20:51.790 00:20:55.759 Emily Giant: I don’t know if we have an estimate yet. It depends on kind of what Kaya does with his audit.

201 00:20:56.485 00:20:57.210 Amber Lin: Okay.

202 00:20:58.040 00:21:05.979 Amber Lin: I mean, we, our goal was to finish finish the auditing like the main ones auditing next week.

203 00:21:17.280 00:21:23.350 Amber Lin: I’m gonna move consolidation to there.

204 00:21:28.904 00:21:33.520 Amber Lin: How long is the rebuild gonna take like? Is is a month

205 00:21:34.060 00:21:39.069 Amber Lin: too much? 3 week? Is is it more like 3 weeks? Is it like a month.

206 00:21:39.310 00:21:41.829 Emily Giant: A month is definitely not too much.

207 00:21:42.040 00:21:42.460 Amber Lin: Okay.

208 00:21:42.460 00:21:43.850 Emily Giant: I would say a month.

209 00:21:44.110 00:21:46.060 Amber Lin: Okay, we’ll do.

210 00:21:48.390 00:21:52.020 Amber Lin: How long does this take? Replacing the Hevo tables.

211 00:21:53.510 00:21:55.569 Demilade Agboola: Actually not sure. It won’t take so long.

212 00:21:55.900 00:22:01.899 Amber Lin: Okay, I’m gonna scoot that into does this make sense

213 00:22:04.280 00:22:07.690 Amber Lin: like a week? Is that too? Too little time.

214 00:22:08.300 00:22:09.000 Emily Giant: Yes.

215 00:22:10.030 00:22:11.399 Amber Lin: Oh, so 2 weeks!

216 00:22:13.010 00:22:14.370 Emily Giant: I’d say 3.

217 00:22:14.730 00:22:15.969 Amber Lin: Oh, okay.

218 00:22:16.480 00:22:24.779 Emily Giant: Depends on what replacing means, like the tables exist in shopify. But it’s gonna take some research to figure out like which shopify tables.

219 00:22:25.000 00:22:31.719 Emily Giant: building the historical models like connecting them with the shopify tables. All of that.

220 00:22:31.720 00:22:32.930 Amber Lin: Hmm.

221 00:22:34.900 00:22:43.079 Emily Giant: 3 people working on it. It might honestly not take that long. If we know what we’re doing. It’s the figuring out like what we’re replacing with what that’s gonna be.

222 00:22:43.080 00:22:46.210 Amber Lin: Okay.

223 00:22:47.541 00:22:55.370 Amber Lin: when do we started? Oh, gosh! When do we start the Dvt testing like, is it? After after this.

224 00:22:55.810 00:23:01.369 Demilade Agboola: It’s after. It’s after I’m sort of part of rebuilding the the models.

225 00:23:02.150 00:23:10.380 Amber Lin: Hmm, so I’m gonna say, so about tests

226 00:23:11.350 00:23:15.339 Amber Lin: later, we already have observability tools. Right?

227 00:23:17.924 00:23:19.420 Demilade Agboola: Yes, we’re integrating that.

228 00:23:20.626 00:23:24.480 Amber Lin: I’m gonna let’s say, comes.

229 00:23:45.990 00:23:50.850 Amber Lin: does that make sense additional revenue adjustments?

230 00:23:58.724 00:24:07.349 Demilade Agboola: Potential revenue adjustments. This might we don’t know. There could be edge cases or things we might need to.

231 00:24:07.350 00:24:10.749 Amber Lin: Oh, okay, so just I’ll just take edge cases.

232 00:24:11.840 00:24:19.179 Amber Lin: Okay. So July, August, September, so I’m gonna say.

233 00:24:34.480 00:24:38.059 Amber Lin: oh, well, QA set of tests

234 00:24:44.150 00:24:50.460 Amber Lin: in which cases roll out to stakeholders dashboards.

235 00:24:51.020 00:24:57.739 Amber Lin: Is this too tight of a timeline? Or is this like relatively makes sense.

236 00:25:00.420 00:25:01.659 Demilade Agboola: All parts.

237 00:25:02.350 00:25:06.470 Amber Lin: I guess like in like, especially like building.

238 00:25:06.620 00:25:08.190 Amber Lin: And then.

239 00:25:09.130 00:25:16.519 Demilade Agboola: I’m always, if I’m always a proponent of I iteratively rolling out numbers into dashboard. I don’t think we should have a final date

240 00:25:16.830 00:25:24.149 Demilade Agboola: like that. The user roll out the new numbers as you get them, so that if there are any errors you don’t need still the end to start fixing everything.

241 00:25:26.100 00:25:26.790 Amber Lin: And.

242 00:25:27.300 00:25:27.630 Demilade Agboola: So.

243 00:25:27.630 00:25:31.530 Amber Lin: Tell him that this is just like approximate subject.

244 00:25:31.530 00:25:32.220 Demilade Agboola: Yeah.

245 00:25:32.630 00:25:35.739 Demilade Agboola: My idea the idea is, I think we should roll out

246 00:25:35.850 00:25:41.109 Demilade Agboola: more than like we roll out. Not just be at the end. It should come out in different phases.

247 00:25:41.610 00:25:47.750 Amber Lin: Hmm, so this one kind of like happens multiple times.

248 00:25:48.300 00:25:49.380 Demilade Agboola: Exactly.

249 00:25:49.380 00:25:52.859 Amber Lin: Oh, okay. So I’m gonna say.

250 00:25:54.320 00:25:57.439 Amber Lin: let’s put it as a parallel.

251 00:25:59.690 00:26:03.120 Demilade Agboola: Or we could, or we could trunk it up to. That’s fine.

252 00:26:03.560 00:26:03.880 Amber Lin: Hmm.

253 00:26:04.770 00:26:08.049 Demilade Agboola: Or we could like duplicate it like, have it appear multiple times.

254 00:26:08.410 00:26:09.210 Amber Lin: Okay.

255 00:26:09.810 00:26:14.490 Amber Lin: So we’re gonna do it after we do the tables, shopify tables.

256 00:26:16.850 00:26:18.780 Demilade Agboola: It will be after the rebuilding.

257 00:26:20.040 00:26:20.740 Amber Lin: Hmm.

258 00:26:37.550 00:26:41.559 Amber Lin: like approximately, does this make? Does this make sense.

259 00:26:42.694 00:26:49.259 Demilade Agboola: The rollout. The 1st rollout has to be after the the rebuilding of the DVD. Models and structure.

260 00:26:49.870 00:26:56.080 Demilade Agboola: The second rollout will be after we Qa and do edge cases. Then we roll out to do new numbers.

261 00:26:59.170 00:27:01.585 Amber Lin: Great. Thank you. That’s what I need.

262 00:27:02.330 00:27:04.980 Amber Lin: Okay.

263 00:27:13.510 00:27:18.150 Amber Lin: okay, are you guys gonna be at that meeting?

264 00:27:18.520 00:27:23.300 Amber Lin: Only, do you want to join that meeting, or are you gonna be on a flight? Oh, you already did your flight!

265 00:27:37.580 00:27:40.629 Amber Lin: Alright, Emily, did you want to be at the meeting with Zach.

266 00:27:43.990 00:27:48.120 Emily Giant: Sorry I didn’t realize I was on mute. Yup! What time is the meeting.

267 00:27:49.036 00:27:54.849 Amber Lin: It’s a let’s see, it’s 30 min from now.

268 00:27:55.860 00:28:01.608 Emily Giant: Oh, I have so much work to do! I won’t be on the flight. I’m here till like 4 or 5, but

269 00:28:01.870 00:28:02.430 Amber Lin: It’s okay.

270 00:28:02.430 00:28:06.109 Emily Giant: Really want to push these fixes before our Qa. Was fully brand new.

271 00:28:06.240 00:28:08.614 Amber Lin: Yeah. Valid. No- no-, no worries.

272 00:28:10.450 00:28:11.630 Amber Lin: Okay.

273 00:28:12.094 00:28:26.319 Amber Lin: Thanks. Thank you. Everyone. So you think you’ve done a lot for helping with it. Me with this. I think you’re joining the meeting, so I’ll let you. I’ll let you present. I’ll give him an overview and let you present what we did with inventory. I want

274 00:28:26.540 00:28:29.260 Amber Lin: our work to be recognized.

275 00:28:29.660 00:28:34.100 Amber Lin: Okay, thanks. Everyone. See you later.

276 00:28:34.100 00:28:36.179 Demilade Agboola: See ya bye! Alright, bye.