Meeting Title: US x BF | Standup Date: 2025-06-12 Meeting participants: Amber Lin, Demilade Agboola, Emily Giant
WEBVTT
1 00:00:34.430 ⇒ 00:00:35.690 Amber Lin: Hi.
2 00:00:42.740 ⇒ 00:00:44.110 Demilade Agboola: Hi! Amber! How are you?
3 00:00:44.450 ⇒ 00:00:46.549 Amber Lin: Hello! I’m good!
4 00:00:48.900 ⇒ 00:00:53.740 Amber Lin: Uten got me a new headset so hopefully. My audio is better.
5 00:00:54.770 ⇒ 00:01:00.630 Demilade Agboola: Oh, nice! Did he like was it because of the calls recently or just? He had planned to do that?
6 00:01:01.982 ⇒ 00:01:13.627 Amber Lin: Well, I I guess my audio recently has been really shitty because I was traveling because I was sitting at cafes and just calling from in between a lot of people, and then
7 00:01:14.490 ⇒ 00:01:20.553 Amber Lin: I guess cause we’re both in the States. He could just order Amazon, so he just ordered Amazon.
8 00:01:21.310 ⇒ 00:01:22.770 Demilade Agboola: Same day, delivery.
9 00:01:23.100 ⇒ 00:01:25.690 Amber Lin: No, it wasn’t but close enough.
10 00:01:29.296 ⇒ 00:01:32.140 Amber Lin: I don’t know if they’re joining. Hmm!
11 00:01:32.310 ⇒ 00:01:33.620 Amber Lin: Let me see.
12 00:01:33.780 ⇒ 00:01:38.209 Amber Lin: Maybe they send something in the chat. I know Kyle’s at the doctor’s.
13 00:01:38.520 ⇒ 00:01:41.249 Amber Lin: so we’re just waiting on Emily.
14 00:01:41.860 ⇒ 00:01:43.820 Amber Lin: Let me see what she says.
15 00:01:56.110 ⇒ 00:01:56.910 Amber Lin: hmm!
16 00:01:57.700 ⇒ 00:02:08.130 Amber Lin: Oh, I was looking at the external client channel. Kyle sent something about unnest unflattering the Tags column.
17 00:02:11.470 ⇒ 00:02:12.560 Amber Lin: No.
18 00:02:16.770 ⇒ 00:02:20.860 Demilade Agboola: Oh, yeah.
19 00:02:21.110 ⇒ 00:02:25.630 Demilade Agboola: So there was an issue with products.
20 00:02:28.490 ⇒ 00:02:30.989 Demilade Agboola: There’s an issue with products, table.
21 00:02:33.080 ⇒ 00:02:36.420 Demilade Agboola: But apparently
22 00:02:38.016 ⇒ 00:02:43.339 Demilade Agboola: Emmy has been able to figure out a way to go around it. She was able to talk to the
23 00:02:44.242 ⇒ 00:02:45.810 Demilade Agboola: Software engineering team.
24 00:02:45.830 ⇒ 00:02:46.340 Amber Lin: Oh!
25 00:02:46.340 ⇒ 00:02:47.610 Demilade Agboola: And he had
26 00:02:49.930 ⇒ 00:02:57.609 Demilade Agboola: They had a they had like a raw, a raw Csv. They could use to just give out the data without having had.
27 00:02:57.970 ⇒ 00:03:01.469 Amber Lin: Without having to like unnest and flatten the tag column.
28 00:03:02.250 ⇒ 00:03:03.190 Amber Lin: I see.
29 00:03:04.056 ⇒ 00:03:08.670 Demilade Agboola: Do you think that needs to be a ticket, or is it already figured out? So that’s fine.
30 00:03:09.747 ⇒ 00:03:13.460 Demilade Agboola: I think it’s been figured out, so that part of fine.
31 00:03:14.730 ⇒ 00:03:16.480 Amber Lin: Okay. Sounds good.
32 00:03:16.860 ⇒ 00:03:22.849 Amber Lin: Well, I mean, if they’re not coming, let’s just let’s just go through this real quick.
33 00:03:23.657 ⇒ 00:03:28.359 Amber Lin: I just noted that. Let me share screen.
34 00:03:30.620 ⇒ 00:03:32.380 Amber Lin: And then
35 00:03:33.190 ⇒ 00:03:41.645 Amber Lin: I mean, these, we said, are due tomorrow. Do you think they’re on track? I know this one is still to do.
36 00:03:42.660 ⇒ 00:03:44.260 Amber Lin: How are these 2.
37 00:03:45.794 ⇒ 00:03:48.150 Demilade Agboola: Yeah, they will both be done by tomorrow.
38 00:03:48.260 ⇒ 00:03:49.190 Demilade Agboola: Okay.
39 00:03:49.190 ⇒ 00:03:50.040 Amber Lin: Awesome.
40 00:03:50.300 ⇒ 00:03:51.910 Amber Lin: What about
41 00:03:52.040 ⇒ 00:03:57.900 Amber Lin: these 2 tickets still need a bit of grooming? Do you think you can add to the details as well.
42 00:03:59.900 ⇒ 00:04:01.629 Demilade Agboola: Yes, before we do that tomorrow.
43 00:04:01.630 ⇒ 00:04:03.960 Amber Lin: Okay, all good. All good.
44 00:04:04.580 ⇒ 00:04:05.750 Amber Lin: Hi, Emily!
45 00:04:05.750 ⇒ 00:04:13.109 Emily Giant: Hi! I’m sorry I was on with Alex talking about everything I was just talking about with Demo Lade and making sure he was up to speed.
46 00:04:14.710 ⇒ 00:04:16.230 Amber Lin: All good, all good.
47 00:04:17.615 ⇒ 00:04:20.660 Amber Lin: I was just looking at the tickets.
48 00:04:21.539 ⇒ 00:04:28.580 Amber Lin: Checking down here. Oh, gosh! You have a lot of stuff we said to tomorrow,
49 00:04:29.050 ⇒ 00:04:31.539 Amber Lin: And you have least we can mark as done.
50 00:04:32.680 ⇒ 00:04:38.690 Emily Giant: I, okay, where is the looker? One? I think that’s actually one of.
51 00:04:39.170 ⇒ 00:04:40.170 Amber Lin: The time, one.
52 00:04:41.100 ⇒ 00:04:49.279 Emily Giant: Deprecate unused looker dashboards, and notify stakeholders that one is super close. But is it done? No, honestly, none of these are done.
53 00:04:49.410 ⇒ 00:04:51.490 Amber Lin: Okay, I see.
54 00:04:55.050 ⇒ 00:05:02.750 Emily Giant: We can change us 1 10 to a different time like that doesn’t.
55 00:05:02.950 ⇒ 00:05:05.870 Emily Giant: because that’s not part of our
56 00:05:06.260 ⇒ 00:05:10.907 Emily Giant: work per se. That’s more of like a placeholder, so you can see my
57 00:05:11.390 ⇒ 00:05:13.459 Amber Lin: Oh, I see! I see!
58 00:05:13.460 ⇒ 00:05:13.880 Emily Giant: So.
59 00:05:13.880 ⇒ 00:05:17.479 Amber Lin: Let me scoot that to the next cycle.
60 00:05:17.480 ⇒ 00:05:18.450 Emily Giant: Perfect.
61 00:05:21.900 ⇒ 00:05:23.620 Amber Lin: Revenue.
62 00:05:24.150 ⇒ 00:05:25.699 Amber Lin: Is this one done.
63 00:05:27.050 ⇒ 00:05:28.249 Emily Giant: Yes, it is.
64 00:05:28.250 ⇒ 00:05:29.150 Amber Lin: Oh, okay.
65 00:05:29.150 ⇒ 00:05:29.880 Emily Giant: Yay!
66 00:05:30.100 ⇒ 00:05:32.969 Amber Lin: Pr. Review. Is the Pr review done double a day.
67 00:05:32.970 ⇒ 00:05:33.460 Emily Giant: Yes.
68 00:05:34.080 ⇒ 00:05:34.870 Amber Lin: He does.
69 00:05:34.870 ⇒ 00:05:36.750 Emily Giant: Yay done.
70 00:05:36.890 ⇒ 00:05:39.590 Amber Lin: Awesome. Okay, that looks that looks more.
71 00:05:43.410 ⇒ 00:05:47.730 Emily Giant: So 1, 25. I got my answers. I got the last 2 answers, too.
72 00:05:47.730 ⇒ 00:05:48.620 Amber Lin: Hmm, okay.
73 00:05:48.620 ⇒ 00:05:49.989 Emily Giant: That one. This is.
74 00:05:49.990 ⇒ 00:05:50.500 Amber Lin: Yes.
75 00:05:51.510 ⇒ 00:05:55.370 Emily Giant: Do we need to talk about it internally, or could.
76 00:05:57.090 ⇒ 00:06:02.720 Amber Lin: Or is this just once we get the decisions, we can just deprecate the the rest.
77 00:06:02.720 ⇒ 00:06:06.609 Emily Giant: I talked to Alex about all of them, and he is gonna have better insight than the actual.
78 00:06:06.610 ⇒ 00:06:07.159 Amber Lin: Stay cool.
79 00:06:07.600 ⇒ 00:06:12.360 Emily Giant: And the stakeholder that I needed to talk to quickbooks. I talked to them.
80 00:06:18.210 ⇒ 00:06:19.999 Amber Lin: Okay, so this is.
81 00:06:21.050 ⇒ 00:06:26.300 Emily Giant: I do need to tell I do need to update in the spreadsheet and tell Kayo that.
82 00:06:26.300 ⇒ 00:06:26.830 Amber Lin: Okay.
83 00:06:26.830 ⇒ 00:06:29.609 Emily Giant: Be turned off, and that
84 00:06:31.240 ⇒ 00:06:42.920 Emily Giant: so quickbooks can be turned off and shopify test store has already been updated to just replicate once a day instead of every 10 min. Those were standing questions.
85 00:06:42.920 ⇒ 00:06:50.119 Amber Lin: Shopify change to update every 10 min.
86 00:06:50.300 ⇒ 00:06:51.370 Emily Giant: No! So.
87 00:06:51.370 ⇒ 00:06:51.920 Amber Lin: 3.
88 00:06:51.920 ⇒ 00:06:55.760 Emily Giant: Like test store. So like our sandbox.
89 00:06:56.500 ⇒ 00:07:01.320 Emily Giant: it was replicating every 10 min, and it does not need to now. It’s only once a day.
90 00:07:06.690 ⇒ 00:07:07.490 Amber Lin: Awesome.
91 00:07:07.690 ⇒ 00:07:19.150 Amber Lin: So I’m gonna yay, I will close this ticket. I will go tell Kyle where is it? Here.
92 00:07:19.290 ⇒ 00:07:22.660 Emily Giant: Have fun that I said. No, you can’t mark any of them done.
93 00:07:23.900 ⇒ 00:07:25.879 Emily Giant: Almost all of them were done.
94 00:07:26.760 ⇒ 00:07:30.481 Emily Giant: This is my my mode right now. I’m just freaking out.
95 00:07:30.820 ⇒ 00:07:31.910 Amber Lin: Terry. It’s better.
96 00:07:31.910 ⇒ 00:07:34.529 Demilade Agboola: You have to better than I thought, better than we thought.
97 00:07:34.530 ⇒ 00:07:36.600 Demilade Agboola: You have to, under promise and over deliver.
98 00:07:37.140 ⇒ 00:07:37.730 Emily Giant: Yes.
99 00:07:37.730 ⇒ 00:07:38.970 Amber Lin: That’s better.
100 00:07:38.970 ⇒ 00:07:39.290 Emily Giant: We.
101 00:07:39.290 ⇒ 00:07:45.089 Amber Lin: I always say, Oh, it’s done, and then I realize, oh, no, it’s not done, and that that is really bad.
102 00:07:46.980 ⇒ 00:07:52.570 Emily Giant: That’s funny. Okay, and I’m almost done with the rating. The Dbt model accuracy.
103 00:07:55.140 ⇒ 00:08:02.060 Emily Giant: Halfway done with the looker dashboards.
104 00:08:02.990 ⇒ 00:08:05.669 Emily Giant: And then audit revenue models and snapshots.
105 00:08:06.210 ⇒ 00:08:09.590 Emily Giant: That’s not going to be done tomorrow. I’m gonna be honest like it just won’t be.
106 00:08:09.590 ⇒ 00:08:09.910 Amber Lin: Okay.
107 00:08:09.910 ⇒ 00:08:12.870 Emily Giant: Probably end of day Monday. But
108 00:08:13.519 ⇒ 00:08:17.199 Emily Giant: it’s on. It’s not feasible to finish all 3.
109 00:08:17.250 ⇒ 00:08:20.815 Amber Lin: Yeah, I agree. So let me
110 00:08:23.420 ⇒ 00:08:28.820 Amber Lin: could change. Yeah, let me just change the due date. I probably shouldn’t. But.
111 00:08:30.440 ⇒ 00:08:32.139 Emily Giant: So it makes me feel better about myself.
112 00:08:34.240 ⇒ 00:08:39.490 Amber Lin: I think this is more reasonable if these are halfway done. Okay, sounds good.
113 00:08:39.720 ⇒ 00:08:44.310 Emily Giant: Being incapable of doing work when there’s too much. I’m just like so.
114 00:08:44.310 ⇒ 00:08:57.580 Amber Lin: I know I know, and I don’t think I assigned it properly, because look like everybody else has stuff next week, and I looked at yours and say, Why is everything this week? So it’s partly a fault in assigning due dates so
115 00:08:57.580 ⇒ 00:09:02.239 Amber Lin: hopefully, this is better, I’m sure. But now we’ve we’ve sorted that out.
116 00:09:04.170 ⇒ 00:09:10.699 Amber Lin: okay, then a lot of these tickets are on track, I don’t know how how these are for Kyle, I know this, we just
117 00:09:12.580 ⇒ 00:09:17.729 Amber Lin: gave him this stuff to do this. I don’t know.
118 00:09:17.730 ⇒ 00:09:19.860 Emily Giant: We’re kind of doing that together.
119 00:09:20.480 ⇒ 00:09:21.100 Amber Lin: Okay.
120 00:09:21.100 ⇒ 00:09:24.000 Emily Giant: But I’m pretty sure he’s yeah yeah
121 00:09:26.120 ⇒ 00:09:30.400 Emily Giant: on track with anything that I haven’t personally blocked from him, finishing.
122 00:09:30.520 ⇒ 00:09:31.270 Amber Lin: Okay.
123 00:09:31.420 ⇒ 00:09:33.079 Amber Lin: So that should be good.
124 00:09:38.080 ⇒ 00:09:38.639 Emily Giant: And then he.
125 00:09:38.640 ⇒ 00:09:39.360 Amber Lin: Oh!
126 00:09:42.430 ⇒ 00:09:45.799 Emily Giant: Yeah, I know he was working on that for sure.
127 00:09:46.890 ⇒ 00:09:47.810 Amber Lin: Is this?
128 00:09:47.940 ⇒ 00:09:51.650 Amber Lin: Is this blocked by you? I I don’t know.
129 00:09:52.250 ⇒ 00:10:07.609 Emily Giant: It doesn’t necessarily have to be. I’d probably be a lot faster at doing it than he would, because I’m more familiar with the models, etc. I don’t think it necessarily needs to be blocked by me, because he can go into looker and see what the models are.
130 00:10:07.610 ⇒ 00:10:13.590 Amber Lin: Yeah, we can go into.
131 00:10:13.590 ⇒ 00:10:16.540 Emily Giant: He and I can do it tomorrow together, too. During the working session.
132 00:10:18.040 ⇒ 00:10:21.621 Emily Giant: Actually, he sent me an agenda already for tomorrow. So
133 00:10:23.010 ⇒ 00:10:28.840 Emily Giant: I think that’s what we were planning on doing together is just getting started. He’s since he’s
134 00:10:29.300 ⇒ 00:10:33.610 Emily Giant: somewhat new to looker, anyway, I can show him, where does it? Okay.
135 00:10:34.570 ⇒ 00:10:35.230 Amber Lin: Okay.
136 00:10:35.370 ⇒ 00:10:35.820 Emily Giant: Yeah.
137 00:10:37.670 ⇒ 00:10:39.949 Emily Giant: That should not take very long.
138 00:10:42.020 ⇒ 00:10:43.320 Amber Lin: Sounds good.
139 00:10:54.340 ⇒ 00:10:56.409 Amber Lin: okay, sounds good.
140 00:10:56.970 ⇒ 00:11:00.369 Amber Lin: So all right, that’s all the tickets here.
141 00:11:00.800 ⇒ 00:11:02.100 Amber Lin: I think we’re good.
142 00:11:02.519 ⇒ 00:11:09.950 Amber Lin: I will. I think this. I think I want to use the rest of the time to prepare for the meeting with the stakeholders.
143 00:11:09.950 ⇒ 00:11:10.850 Emily Giant: Yes, I’m so sure.
144 00:11:10.850 ⇒ 00:11:11.390 Amber Lin: Okay.
145 00:11:11.390 ⇒ 00:11:17.610 Emily Giant: Answer. I was great yesterday, but I can write like little recaps.
146 00:11:18.470 ⇒ 00:11:20.579 Amber Lin: Oh, there’s our I mean
147 00:11:20.580 ⇒ 00:11:31.195 Amber Lin: we we can just do it now. Like if you, if you don’t mind telling, because we still have some time booked. I’m just gonna grab their names. I don’t know where I put it.
148 00:11:32.480 ⇒ 00:11:35.609 Amber Lin: Okay, so if you can, we’ll just
149 00:11:35.850 ⇒ 00:11:42.190 Amber Lin: we’ll just type them in here, and I can make a teeny, tiny slide if I have time. So.
150 00:11:43.440 ⇒ 00:11:47.700 Emily Giant: Harry is our number one, like looker power user.
151 00:11:48.980 ⇒ 00:11:54.360 Emily Giant: And she is the analyst for forecasting, planning.
152 00:11:57.400 ⇒ 00:12:04.600 Emily Giant: Yeah, she’s like her area. The business is called like sales and demand planning.
153 00:12:06.550 ⇒ 00:12:07.210 Amber Lin: Okay.
154 00:12:08.730 ⇒ 00:12:15.830 Emily Giant: Santiago I honestly like don’t know. I think he works. I know he’s supply chain.
155 00:12:16.770 ⇒ 00:12:19.940 Emily Giant: I’ve met him personally still, couldn’t tell you what his job is.
156 00:12:19.940 ⇒ 00:12:20.829 Amber Lin: Hmm, hmm.
157 00:12:20.830 ⇒ 00:12:27.950 Emily Giant: He seems to do a lot of like vendor quality, assessment and analysis.
158 00:12:31.640 ⇒ 00:12:32.350 Amber Lin: Okay.
159 00:12:32.350 ⇒ 00:12:40.290 Emily Giant: Okay is our inventory forecasting and planning.
160 00:12:40.290 ⇒ 00:12:41.550 Amber Lin: Hmm.
161 00:12:44.040 ⇒ 00:12:51.159 Emily Giant: So he and Perry. Their jobs are very similar, but his are real time decisions and hers are future decisions.
162 00:12:52.640 ⇒ 00:12:53.300 Amber Lin: Okay.
163 00:12:58.450 ⇒ 00:13:02.000 Emily Giant: Ian is our customer service analyst.
164 00:13:05.950 ⇒ 00:13:07.910 Emily Giant: Jesse is
165 00:13:08.090 ⇒ 00:13:30.010 Emily Giant: another power user. Technically, he works in customer order operations. So a lot of what he uses is building like. If there’s an issue, he will very quickly build a query that pulls affected orders, and then we’ll like dispatch the orders to another.
166 00:13:31.710 ⇒ 00:13:37.180 Emily Giant: But a lot of his data usage is for real time
167 00:13:38.740 ⇒ 00:13:41.620 Emily Giant: problems that are affecting customer orders
168 00:13:42.090 ⇒ 00:13:47.650 Emily Giant: and just pulling that information, doing cost analysis on that, but like yes.
169 00:13:47.650 ⇒ 00:13:50.122 Amber Lin: He seems very stressed.
170 00:13:51.483 ⇒ 00:13:52.970 Emily Giant: He’s amazing.
171 00:13:53.140 ⇒ 00:13:54.170 Amber Lin: Oh dear!
172 00:13:54.170 ⇒ 00:14:02.170 Emily Giant: He was my direct report, and became better at everything than I was in like 2 months of
173 00:14:02.270 ⇒ 00:14:08.892 Emily Giant: working for me. I was like. I can’t be your manager. You’re better than me at this. And so now I’m not.
174 00:14:10.150 ⇒ 00:14:18.467 Emily Giant: Pk is marketing and e-commerce, and he also is
175 00:14:19.380 ⇒ 00:14:24.270 Emily Giant: it. He’s what’s the word like? Fluent in python and SQL.
176 00:14:25.251 ⇒ 00:14:33.459 Emily Giant: But he does a lot of like marketing like customer purchase behavior.
177 00:14:34.910 ⇒ 00:14:37.630 Emily Giant: And like Crm, analysis.
178 00:14:37.630 ⇒ 00:14:38.210 Amber Lin: Hmm.
179 00:14:38.800 ⇒ 00:14:42.560 Emily Giant: And I would note that, like he doesn’t have very much
180 00:14:43.261 ⇒ 00:14:47.679 Emily Giant: acts, he doesn’t have a lot of support from our current
181 00:14:48.470 ⇒ 00:14:53.939 Emily Giant: data infrastructure. He’s operating a lot in like the software programs that they use.
182 00:14:53.940 ⇒ 00:14:54.800 Amber Lin: Hmm.
183 00:14:55.260 ⇒ 00:14:56.529 Emily Giant: He’s also new.
184 00:14:57.200 ⇒ 00:15:01.770 Amber Lin: Hmm sounds good.
185 00:15:02.930 ⇒ 00:15:08.260 Emily Giant: Stephanie is merchandising.
186 00:15:10.380 ⇒ 00:15:16.150 Emily Giant: So yeah, that’s good enough, and then wilder is finance. Bless his heart.
187 00:15:17.362 ⇒ 00:15:22.577 Amber Lin: That doesn’t sound good. I’ve heard that that’s not a great phrase to say.
188 00:15:23.538 ⇒ 00:15:27.660 Emily Giant: Poor guy he’s just. He’s like literally
189 00:15:27.880 ⇒ 00:15:40.710 Emily Giant: 22 years old, and like half dead from the work that he has to do for finance like. I don’t know how to do what they do. They don’t have any reliable data at all, but he is finance accounting.
190 00:15:40.900 ⇒ 00:15:42.810 Emily Giant: closing the books. All that stuff.
191 00:15:44.110 ⇒ 00:15:45.789 Emily Giant: He’s just suffering.
192 00:15:46.120 ⇒ 00:15:47.010 Amber Lin: Okay.
193 00:15:47.610 ⇒ 00:15:55.530 Amber Lin: Okay. So when we have the meeting, I don’t know how many of them will be there ideally. All of them would be
194 00:15:56.340 ⇒ 00:16:14.909 Amber Lin: how, in order, like, in order of effect, how is our work going to affect their lives? I say, maybe even now, or to the future, like in order, maybe just how will affect them? I guess that’s a question for both of you. How are we going to affect all these different areas.
195 00:16:15.250 ⇒ 00:16:18.409 Emily Giant: So Perry reliable revenue
196 00:16:22.020 ⇒ 00:16:28.740 Emily Giant: and so what she struggles with is
197 00:16:29.680 ⇒ 00:16:38.780 Emily Giant: she is not able to look at purchase behaviors on the unit and
198 00:16:39.110 ⇒ 00:16:44.199 Emily Giant: the kit level. So it’s really like reliable revenue.
199 00:16:45.578 ⇒ 00:16:50.219 Emily Giant: and reliable, or like differentiated.
200 00:16:50.840 ⇒ 00:16:56.979 Emily Giant: How do I say this? Them a lot of you know what I mean, like she can’t look at the components of a purchase versus like.
201 00:16:56.980 ⇒ 00:16:57.660 Amber Lin: Hmm.
202 00:16:57.660 ⇒ 00:17:01.090 Emily Giant: Of the kit, so like there will be.
203 00:17:01.090 ⇒ 00:17:02.170 Amber Lin: Granular.
204 00:17:02.170 ⇒ 00:17:11.730 Emily Giant: Yes, consistent granular models for inventory, so that they can be analyzed at the kit and the unit level.
205 00:17:11.730 ⇒ 00:17:16.159 Amber Lin: I see. So is this something that we’re gonna do? Very recently, it seems.
206 00:17:16.510 ⇒ 00:17:22.809 Emily Giant: We’re. I’m doing bits and pieces of it now, but I think her biggest takeaway will be revenue.
207 00:17:23.440 ⇒ 00:17:24.429 Amber Lin: Oh, okay.
208 00:17:24.430 ⇒ 00:17:24.960 Emily Giant: Yeah.
209 00:17:27.359 ⇒ 00:17:30.910 Amber Lin: Biggest benefit. So she’s down the line.
210 00:17:30.910 ⇒ 00:17:31.540 Emily Giant: Yeah.
211 00:17:31.540 ⇒ 00:17:32.930 Amber Lin: Okay. Awesome.
212 00:17:34.085 ⇒ 00:17:40.730 Amber Lin: I guess. Who else is the next in order impact? Who would be the most impact?
213 00:17:41.490 ⇒ 00:17:43.040 Amber Lin: Okay, Felipe.
214 00:17:47.610 ⇒ 00:17:49.840 Emily Giant: And his would be reliable inventory
215 00:17:50.470 ⇒ 00:17:53.030 Emily Giant: for hard goods and live products.
216 00:17:57.200 ⇒ 00:18:01.300 Amber Lin: Is he already benefiting from the inventory or not? Yet.
217 00:18:01.300 ⇒ 00:18:02.470 Emily Giant: Very much, so.
218 00:18:02.470 ⇒ 00:18:03.230 Amber Lin: Okay.
219 00:18:06.190 ⇒ 00:18:14.220 Amber Lin: anything else that in terms of revenue or just in terms of new models that we’re creating now for inventory that will help him more.
220 00:18:18.090 ⇒ 00:18:24.579 Emily Giant: We’re yeah. The work that’s being done. This sprint is almost going to like wrap up what he.
221 00:18:24.580 ⇒ 00:18:26.560 Amber Lin: Hmm, okay.
222 00:18:27.200 ⇒ 00:18:32.499 Emily Giant: Because he still needs like spoilage and the foundational ticket that we just.
223 00:18:33.340 ⇒ 00:18:34.335 Emily Giant: Completed.
224 00:18:36.800 ⇒ 00:18:41.810 Emily Giant: that once it gets built into the mart, it’s not built into the mart I just needed to build out like.
225 00:18:42.080 ⇒ 00:18:45.509 Emily Giant: And he’s actually the blocker right now. He skipped a meeting that was.
226 00:18:45.510 ⇒ 00:18:46.900 Amber Lin: Hmm, okay.
227 00:18:48.128 ⇒ 00:18:52.980 Emily Giant: Spoilage. Rollover, making sure that, like
228 00:18:53.220 ⇒ 00:19:00.379 Emily Giant: the logic between farm direct versus nationwide shipping is all he he does know this
229 00:19:00.620 ⇒ 00:19:08.699 Emily Giant: because we work together so often, but, like he will definitely benefit from the inventory work. The other people not so much with inventory.
230 00:19:09.240 ⇒ 00:19:09.710 Amber Lin: We’re gonna be.
231 00:19:09.710 ⇒ 00:19:20.920 Emily Giant: Or like sales data like we, Stephanie, pk, Ian
232 00:19:21.560 ⇒ 00:19:28.140 Emily Giant: Santi, we’re gonna eventually have to rebuild all of the order data in shopify instead of.
233 00:19:28.140 ⇒ 00:19:28.730 Amber Lin: It’s built.
234 00:19:29.300 ⇒ 00:19:34.730 Emily Giant: And what they’re going to benefit from is accurate refund data.
235 00:19:35.670 ⇒ 00:19:37.814 Emily Giant: Accurate loyalty points, data.
236 00:19:41.070 ⇒ 00:19:49.080 Emily Giant: Credit data like right now, all of those are compromised because of how we’re trying to make shopify data fit into the
237 00:19:49.370 ⇒ 00:19:52.000 Emily Giant: model for salesforce that we used to use.
238 00:19:52.000 ⇒ 00:19:52.750 Amber Lin: Hmm.
239 00:19:54.600 ⇒ 00:19:57.430 Emily Giant: Accurate discount data that will be.
240 00:19:57.430 ⇒ 00:19:57.810 Amber Lin: Hmm.
241 00:19:57.830 ⇒ 00:20:03.399 Emily Giant: Bye. And then, of course, historical revenue is big for them, too.
242 00:20:03.890 ⇒ 00:20:04.380 Amber Lin: Alright!
243 00:20:07.690 ⇒ 00:20:12.929 Emily Giant: And Pk and welder. Every, almost everything they’ll be using is like net new.
244 00:20:13.270 ⇒ 00:20:21.030 Emily Giant: because we don’t have any marketing data or reliable accounting dashboards built out in Looker. They’re doing.
245 00:20:21.030 ⇒ 00:20:21.390 Amber Lin: You mean.
246 00:20:21.390 ⇒ 00:20:22.690 Emily Giant: Spreadsheets.
247 00:20:22.930 ⇒ 00:20:25.059 Emily Giant: I don’t even know what data they use.
248 00:20:25.220 ⇒ 00:20:32.770 Emily Giant: I’m they might just be playing like pictionary, and the best.
249 00:20:37.220 ⇒ 00:20:39.300 Amber Lin: okay, sounds, good.
250 00:20:39.500 ⇒ 00:20:39.980 Emily Giant: Yes.
251 00:20:39.980 ⇒ 00:20:44.190 Amber Lin: This is. This is good for me to work with. I will go.
252 00:20:44.990 ⇒ 00:20:47.659 Amber Lin: Does Jesse also fit in here?
253 00:20:47.910 ⇒ 00:20:53.927 Emily Giant: Jesse just uses everything so like he’s the number one creator of tickets.
254 00:20:54.390 ⇒ 00:20:55.630 Amber Lin: Oh, gosh, okay.
255 00:20:55.630 ⇒ 00:20:59.130 Emily Giant: Like outside of revenue. Jesse is everything else.
256 00:20:59.712 ⇒ 00:21:02.950 Emily Giant: So he’s more in line with like
257 00:21:04.370 ⇒ 00:21:11.859 Emily Giant: purchase, behavior, refund data, credit data, redelivery data, any kind of, or also
258 00:21:13.110 ⇒ 00:21:22.070 Emily Giant: Santi and Jesse will greatly benefit from like customer complaint. Data being improved and like issue tagging, because right now.
259 00:21:22.370 ⇒ 00:21:22.670 Amber Lin: Like.
260 00:21:22.670 ⇒ 00:21:23.190 Emily Giant: It.
261 00:21:23.480 ⇒ 00:21:26.590 Emily Giant: Problems with orders are not accurately reported.
262 00:21:26.590 ⇒ 00:21:28.460 Amber Lin: Oh dear! That’s not good!
263 00:21:28.510 ⇒ 00:21:29.250 Emily Giant: That’s really.
264 00:21:29.250 ⇒ 00:21:32.790 Amber Lin: Probably a churned customer, if it doesn’t get dealt with.
265 00:21:32.790 ⇒ 00:21:33.760 Emily Giant: Yeah.
266 00:21:34.492 ⇒ 00:21:50.950 Emily Giant: so that and our refunds how it’s set up. Now they don’t allocate to the correct item they correct like, go to the whole order. They’re duplicated in the system. So they’re gonna better be able to like control their kpis, even with.
267 00:21:51.970 ⇒ 00:21:56.170 Emily Giant: Summer resolutions.
268 00:21:56.170 ⇒ 00:22:05.120 Amber Lin: Is this something we’re we’re dealing with of revenue because revenues are next March. Or is that something even later, like, what would that fall? Under what kind of march.
269 00:22:05.120 ⇒ 00:22:08.090 Emily Giant: Probably gonna fall later revenues like top line and doesn’t.
270 00:22:08.090 ⇒ 00:22:08.730 Amber Lin: Take one.
271 00:22:08.730 ⇒ 00:22:14.029 Emily Giant: Into account. So I think it’s going to be its whole own thing.
272 00:22:17.710 ⇒ 00:22:20.220 Emily Giant: I don’t know. I’m with the customer care
273 00:22:20.390 ⇒ 00:22:23.090 Emily Giant: section or the customer care, mart.
274 00:22:23.930 ⇒ 00:22:25.400 Amber Lin: Sounds good. Okay.
275 00:22:25.640 ⇒ 00:22:28.680 Emily Giant: Maybe that’s what’s next after revenue.
276 00:22:29.120 ⇒ 00:22:37.589 Emily Giant: And then Santi and Jesse are related in that. Santi deals with vendors and customers, but they’re both like customers. If you think about it.
277 00:22:37.590 ⇒ 00:22:38.720 Amber Lin: Yeah, yeah.
278 00:22:39.220 ⇒ 00:22:42.060 Amber Lin: And they’re all doing dealing with their issues.
279 00:22:42.060 ⇒ 00:22:48.479 Emily Giant: Yes, and they’re dealing with like the same issue tags. It’s just that Jesse deals with the tagging
280 00:22:49.120 ⇒ 00:22:55.319 Emily Giant: after the orders are sent, and Santi deals with them as the orders are received at the Fcs.
281 00:22:55.320 ⇒ 00:22:55.960 Amber Lin: Hmm.
282 00:22:55.960 ⇒ 00:23:00.200 Emily Giant: Bye, the purchases we’ve made more or less.
283 00:23:02.430 ⇒ 00:23:03.420 Amber Lin: Sounds good.
284 00:23:03.420 ⇒ 00:23:03.740 Emily Giant: Yep.
285 00:23:03.740 ⇒ 00:23:09.190 Amber Lin: This is great. I will go try and make something out of it, and I’ll make an agenda for the meeting.
286 00:23:09.190 ⇒ 00:23:12.179 Emily Giant: Throw it into chat, Gpt, and I’ll just
287 00:23:12.390 ⇒ 00:23:14.710 Emily Giant: so I’ll just shake my head and smile like.
288 00:23:16.040 ⇒ 00:23:20.159 Emily Giant: yeah, cause this is because I give it to you 5 min before the meeting. All right, cool.
289 00:23:20.160 ⇒ 00:23:21.190 Amber Lin: Alrighty!
290 00:23:21.740 ⇒ 00:23:24.400 Emily Giant: I’ll talk to y’all really soon.
291 00:23:25.730 ⇒ 00:23:27.390 Amber Lin: In 30 min, bye, bye.
292 00:23:27.390 ⇒ 00:23:28.860 Emily Giant: Okay. Bye. Eve.
293 00:23:28.860 ⇒ 00:23:29.730 Demilade Agboola: Bye.