Meeting Title: [Eden] Supply Chain and Cogs Sync Date: 2025-07-03 Meeting participants: Robert Tseng, Fireflies.ai Notetaker Tigran, Demilade Agboola, Josh
WEBVTT
1 00:05:28.810 ⇒ 00:05:29.910 Demilade Agboola: Arabic.
2 00:05:33.180 ⇒ 00:05:34.170 Robert Tseng: It didn’t want it.
3 00:05:37.210 ⇒ 00:05:40.180 Demilade Agboola: It appears it’s just gonna be.
4 00:05:40.680 ⇒ 00:05:41.799 Robert Tseng: I think it’s just
5 00:05:47.750 ⇒ 00:05:52.293 Robert Tseng: yeah. So we can keep this short. We don’t have to take the full 30 min, but I’ll just run through it.
6 00:05:52.660 ⇒ 00:06:01.859 Robert Tseng: yeah, if you wanna maybe just feel like some of your tickets are probably done that are still there. If you wanna take a minute to move, move some things, and we can.
7 00:06:02.100 ⇒ 00:06:03.520 Robert Tseng: We can. We can wait.
8 00:06:04.190 ⇒ 00:06:05.259 Demilade Agboola: Antosh. Can you see.
9 00:06:05.260 ⇒ 00:06:05.640 Robert Tseng: Bye.
10 00:06:05.640 ⇒ 00:06:06.600 Demilade Agboola: Give me a second.
11 00:06:06.900 ⇒ 00:06:07.470 Robert Tseng: Yeah.
12 00:06:22.770 ⇒ 00:06:23.440 Robert Tseng: okay.
13 00:07:43.110 ⇒ 00:07:48.070 Demilade Agboola: This asset counselor intake. 4, 7, 6, 1 basketball type. One is that still active.
14 00:07:50.990 ⇒ 00:07:52.569 Robert Tseng: A minute to look.
15 00:07:57.500 ⇒ 00:07:58.600 Robert Tseng: I think.
16 00:08:00.010 ⇒ 00:08:02.439 Robert Tseng: Well, this is related to the like.
17 00:08:05.470 ⇒ 00:08:10.409 Robert Tseng: I mean, did we even give Ryan an answer on this. This was he was asking like.
18 00:08:12.430 ⇒ 00:08:21.210 Robert Tseng: Hey, if we made this like when we get accounts. I think
19 00:08:22.490 ⇒ 00:08:30.820 Robert Tseng: I think I tagged you in this message. So good.
20 00:08:33.900 ⇒ 00:08:35.236 Robert Tseng: I’ll share my screen.
21 00:08:37.730 ⇒ 00:08:40.530 Robert Tseng: Yeah, this is what I’m it’s it’s related to this one.
22 00:08:43.700 ⇒ 00:08:45.629 Robert Tseng: He was basically asking like.
23 00:08:46.530 ⇒ 00:09:00.304 Robert Tseng: it’s just more questions around intake. And then I give you like a specific example of one that he asked for. That wasn’t in type form data, but it’s just in bask, like. I don’t I? I don’t think this has been published. It’s it’s just kind of there. But
24 00:09:01.150 ⇒ 00:09:04.199 Robert Tseng: And you were saying that we could aggregate it.
25 00:09:09.790 ⇒ 00:09:11.170 Demilade Agboola: Hmm!
26 00:09:14.710 ⇒ 00:09:16.710 Demilade Agboola: So I’m I’m actually not sure
27 00:09:16.930 ⇒ 00:09:26.599 Demilade Agboola: about this. And I I know. I just remember that we mentioned like yesterday that some things are not getting sent in, if the if they’re not being answered
28 00:09:28.069 ⇒ 00:09:31.181 Demilade Agboola: so potentially, that might be part of it.
29 00:09:31.780 ⇒ 00:09:33.680 Demilade Agboola: But I’m not sure.
30 00:09:35.160 ⇒ 00:09:35.974 Robert Tseng: Okay.
31 00:09:39.650 ⇒ 00:09:47.709 Robert Tseng: I mean, I think the answer is no, which is what I told him first, st but I just kind of sent sent it your way to get your confirmation on it.
32 00:09:50.930 ⇒ 00:09:53.389 Robert Tseng: okay. So I mean, what’s what’s the next step here?
33 00:09:57.250 ⇒ 00:10:02.669 Demilade Agboola: Okay, and then I’ll look at it over the next hour, and I’ll get back to you on that.
34 00:10:02.670 ⇒ 00:10:03.360 Robert Tseng: Okay.
35 00:10:07.250 ⇒ 00:10:07.750 Robert Tseng: Okay.
36 00:10:07.750 ⇒ 00:10:12.469 Demilade Agboola: I know we didn’t have a ticket for it. But did did you say that we’ve gotten with, like the
37 00:10:12.890 ⇒ 00:10:18.200 Demilade Agboola: the task about iron, the web cooking to
38 00:10:19.316 ⇒ 00:10:21.500 Demilade Agboola: customer. I/O, that’s done.
39 00:10:22.210 ⇒ 00:10:30.849 Robert Tseng: Yeah, I I saw that you did that. I mean they, you mean, remind me. But basically, I mean, there was no data coming through it, and that’s what I that’s when I
40 00:10:31.620 ⇒ 00:10:39.840 Robert Tseng: that’s what I handed it to you yesterday. And then you kind of had Bobby send some test events, or like I I don’t know what happened after I handed it off.
41 00:10:40.760 ⇒ 00:10:44.129 Demilade Agboola: Okay. So I I realized the issue wasn’t necessarily that there was no.
42 00:10:44.780 ⇒ 00:10:56.717 Demilade Agboola: The one events going through is that they want to show that the events would go through customer I/O, because they wanted to be able to use the events to create like campaigns.
43 00:10:57.520 ⇒ 00:11:02.010 Demilade Agboola: So I went in there. I noticed there wasn’t any data going in.
44 00:11:02.480 ⇒ 00:11:16.580 Demilade Agboola: and so I pointed out that it wasn’t live yet, and they said Yes, but they weren’t getting it in customer I/O, and that was specifically what they wanted to see. So I had to create destinations customer, I/O destinations for that. We’ve been
45 00:11:17.518 ⇒ 00:11:20.869 Demilade Agboola: segment and attach them to the event.
46 00:11:21.640 ⇒ 00:11:26.938 Demilade Agboola: and then I asked for Ryan to fire it, and then he fired it, and then
47 00:11:27.810 ⇒ 00:11:33.209 Demilade Agboola: Bobby was able to see it. And that was basically that done. So now, if it goes live.
48 00:11:34.240 ⇒ 00:11:49.040 Demilade Agboola: we should be able to receive it, because it’s not live yet, but once it goes live, and we have streaming data. Bobby should have the. We’ll get this. We’ll get it in bigquery, and Bobby should also get it in customer, I/O, and then he can use it for whatever campaigns he needs.
49 00:11:49.840 ⇒ 00:12:01.239 Robert Tseng: Okay. I mean, I saw like the test that he fired. I mean, it looks like it works. He hasn’t said anything about it today. So I think that’s I mean, we’re just kinda we’re gonna wait to see what, how you how he uses it right.
50 00:12:04.550 ⇒ 00:12:09.809 Demilade Agboola: Yeah. Yeah. So that that was just them needing the data available for, like.
51 00:12:10.520 ⇒ 00:12:15.410 Demilade Agboola: or, you know, campaign. So that’s that’s done. That’s at least from our end.
52 00:12:20.125 ⇒ 00:12:26.950 Robert Tseng: Alright, yeah. And then other things. Yeah, anything. Any other updates from your side?
53 00:12:28.100 ⇒ 00:12:30.559 Demilade Agboola: Yeah, just the Katie stuff is out the way
54 00:12:31.188 ⇒ 00:12:39.779 Demilade Agboola: and I know they also made some requests. There’d love ad hoc request, and not a lot, but there’s some ad hoc requests coming in that don’t necessarily make it to tickets.
55 00:12:40.190 ⇒ 00:12:40.659 Demilade Agboola: but they’ll.
56 00:12:40.660 ⇒ 00:12:41.360 Robert Tseng: Yeah.
57 00:12:41.360 ⇒ 00:12:45.710 Demilade Agboola: That was the other thing about them needing.
58 00:12:47.610 ⇒ 00:12:49.340 Demilade Agboola: Give me one second.
59 00:12:50.669 ⇒ 00:12:56.659 Demilade Agboola: Yes, they needed the list of people with upcoming, gummy refills. So I did that.
60 00:12:59.240 ⇒ 00:13:06.070 Robert Tseng: I mean, those are just stuff that they asked like for last week that we just didn’t. We didn’t finish. So we we were catching up on the ad hoc stuff.
61 00:13:06.900 ⇒ 00:13:10.070 Demilade Agboola: Oh, the upcoming governments was I had no idea.
62 00:13:10.310 ⇒ 00:13:17.610 Demilade Agboola: I thought that was cause. I know I saw in the form of channel where Amy tags you into that, and I was like, alright. Let me quickly pop in and get that the way.
63 00:13:18.210 ⇒ 00:13:19.260 Robert Tseng: Yeah.
64 00:13:19.680 ⇒ 00:13:30.195 Robert Tseng: okay. And then I met with Sarah yesterday. So I know what she was looking for. I I’m not gonna we’re not gonna do it this week. I’m gonna wait till Annie gets back on Monday and have and have her fix it.
65 00:13:30.700 ⇒ 00:13:31.570 Robert Tseng: it’s
66 00:13:32.030 ⇒ 00:13:37.939 Robert Tseng: yeah. It’s it’s more of like a tableau related request. And I don’t really want to to do that today.
67 00:13:38.660 ⇒ 00:13:39.380 Robert Tseng: Yeah.
68 00:13:39.380 ⇒ 00:13:40.860 Demilade Agboola: That’s fair enough. That’s fair enough.
69 00:13:41.240 ⇒ 00:13:41.850 Robert Tseng: Yeah.
70 00:13:42.629 ⇒ 00:13:53.929 Robert Tseng: but yeah, it’s it. I mean, it’s still related to the time or time like the order to delivered kind of window. I know that you sent a message to Bask. I don’t think I don’t think you heard back right.
71 00:13:54.430 ⇒ 00:14:00.969 Demilade Agboola: I mean, he he said, that they need 3rd party. I’m like who was the 3rd party, and he’s not responded so.
72 00:14:02.030 ⇒ 00:14:02.450 Robert Tseng: Yeah.
73 00:14:03.015 ⇒ 00:14:10.370 Demilade Agboola: Something is wrong somewhere, we should get the same numbers. But if he
74 00:14:10.600 ⇒ 00:14:17.800 Demilade Agboola: that is different 3rd party, then potentially, that’s where that disparity is coming from the way the 3rd parties, you know.
75 00:14:18.690 ⇒ 00:14:19.090 Robert Tseng: Yeah.
76 00:14:19.660 ⇒ 00:14:20.230 Demilade Agboola: Yeah.
77 00:14:20.630 ⇒ 00:14:46.537 Robert Tseng: My hypothesis before he even said that was that like, I don’t think they know, either. They’re not actually getting. They’re not actually getting any better tracking updates than we are. So if we’re using ship, oh, and they’re using 30 party, too, we’re just gonna be stuck in this like hearsay argument where it’s like, okay, well, Bass doesn’t really know, either. They’re just using some 3rd party. So so are we. So at least we know. I mean, we we at least we can. You know, we can be more granular about it.
78 00:14:46.900 ⇒ 00:14:56.749 Robert Tseng: because we we know all the the data we get from Shippo. So I mean at this point I I wouldn’t necessarily trust like whatever like this is being short and fast.
79 00:14:56.890 ⇒ 00:15:09.669 Robert Tseng: However, I think the main thing is less that like we’re off by a few hours. It’s more that the the number of orders that we’re including in our like on time turnaround rate is is off.
80 00:15:10.103 ⇒ 00:15:27.950 Robert Tseng: So I think that’s that’s an adjustment I’ll work with on Annie with Annie. I understand what was going on there. So I think if we patch that the the like, the percentage is gonna move into a range that is more acceptable. And I I think that should just generally
81 00:15:28.310 ⇒ 00:15:46.499 Robert Tseng: like deal with this as well, even if we don’t have the precision. I think as long as we know where where we’re getting it from. Shippo, like, you know, that’s that’s the source of truth we’re using is fine. And I and I think we can. I know how we’re gonna adjust the metric. So I think it will, it will take care of this request.
82 00:15:47.540 ⇒ 00:15:48.960 Demilade Agboola: Okay. Sounds good.
83 00:15:48.960 ⇒ 00:15:49.530 Robert Tseng: Yeah.
84 00:15:50.416 ⇒ 00:15:54.739 Robert Tseng: so yeah, I think that’s we can. We can pause on that one. I think we’re. I think we’re good there. So.
85 00:15:54.740 ⇒ 00:16:00.980 Josh : This one also just really highlights the issue of this Vi
86 00:16:01.150 ⇒ 00:16:16.730 Josh : having to be really good, like right now, we’re in like a supply chain crisis like we have, like a pretty big issue that we had like no real visibility into like, we’re always being re. So the more ways you guys could think about how to be proactive with this stuff
87 00:16:17.110 ⇒ 00:16:19.019 Josh : the better the business is gonna operate.
88 00:16:19.140 ⇒ 00:16:30.359 Josh : I guess what I really need to like, even just like partnering people like Rebecca. They just really want to highlight like how important that is. Because right now it’s like all hands on deck.
89 00:16:30.480 ⇒ 00:16:33.080 Josh : And I got like 1,400 tickets coming in a day.
90 00:16:33.850 ⇒ 00:16:34.520 Robert Tseng: Yeah.
91 00:16:35.020 ⇒ 00:16:43.120 Robert Tseng: yeah. I mean, we need when you have somebody like we don’t. We don’t have somebody just like following Rebecca’s team around that. I understand why
92 00:16:43.150 ⇒ 00:16:54.957 Robert Tseng: the original definition that we built for them, which was, you know, by the way, that was the way they wanted to find it was was like, it doesn’t capture everything. So just to like, be less abstract, like,
93 00:16:55.290 ⇒ 00:17:13.500 Robert Tseng: yeah, like on time turnaround rate, we were. Only we were only considering orders that have been processed. And so obviously there are a lot of orders that were just sitting there that were not being processed, and if they are not being processed, they don’t get brought into the calcul. They don’t get brought into the calculation. So we have to expand the definition so that any order that gets.
94 00:17:13.500 ⇒ 00:17:23.690 Josh : At the end of the day, at the end of the day, for for supply chain. It’s a customer’s placed in order, and they do not yet have their order. It is considered a breach.
95 00:17:23.890 ⇒ 00:17:24.540 Robert Tseng: Yeah.
96 00:17:24.960 ⇒ 00:17:26.309 Josh : You see what I’m saying has not.
97 00:17:26.319 ⇒ 00:17:26.699 Robert Tseng: Yeah, yeah.
98 00:17:26.700 ⇒ 00:17:40.019 Josh : With order creation. It’s about the customer. Everything’s always customer first.st So even if our supply chain team isn’t thinking that I’m relaying this to you, because this is how I think about at the end of all that matter is, what is that customer experience with us?
99 00:17:41.690 ⇒ 00:17:42.340 Robert Tseng: Yeah.
100 00:17:43.450 ⇒ 00:17:46.700 Josh : And so when we build these reports, they have to be bye, bye.
101 00:17:48.350 ⇒ 00:17:49.000 Robert Tseng: Yeah.
102 00:17:57.890 ⇒ 00:18:03.837 Robert Tseng: yeah. So I mean, I I understand that. i i i we’re we’re gonna make that make that change.
103 00:18:04.783 ⇒ 00:18:06.299 Robert Tseng: I mean, I was just.
104 00:18:06.400 ⇒ 00:18:15.880 Robert Tseng: If I spent enough time, Rebecca, I think I would with Rebecca I would understand all this like I I was in supply chain like that was where I 1st learned analytics and everything. But we’re just.
105 00:18:15.880 ⇒ 00:18:20.799 Josh : Didn’t we all, didn’t we? All? That’s where everybody gets their start when you get into data.
106 00:18:23.020 ⇒ 00:18:25.210 Josh : Alright, cool. Cool. Yeah.
107 00:18:25.210 ⇒ 00:18:26.709 Robert Tseng: We’ll we’ll fix it. Yeah.
108 00:18:27.010 ⇒ 00:18:27.990 Josh : What that’s.
109 00:18:32.520 ⇒ 00:18:33.240 Robert Tseng: Okay.
110 00:18:34.660 ⇒ 00:18:36.140 Robert Tseng: Anything else. Stimulating.
111 00:18:37.835 ⇒ 00:18:40.320 Demilade Agboola: No, I think everything else is fine.
112 00:18:42.920 ⇒ 00:18:44.280 Demilade Agboola: Yeah, pretty good.
113 00:18:45.200 ⇒ 00:18:59.130 Robert Tseng: Okay? So yeah, I mean regarding the Github actions that broke this morning that we we already took care of that. I mean, I saw Metapane fired, the observability went went fine like you were able to handle it quickly. Is that related to any of the Prs. We pushed like yesterday.
114 00:19:00.745 ⇒ 00:19:01.230 Demilade Agboola: No.
115 00:19:01.810 ⇒ 00:19:14.680 Demilade Agboola: So I’m trying to. I actually asked it’s a model, a wish built. So I actually asked him if but this is not new. He didn’t make any new changes to it. So I was at why I asked him if he
116 00:19:14.990 ⇒ 00:19:16.479 Demilade Agboola: like looked into it.
117 00:19:16.955 ⇒ 00:19:24.120 Demilade Agboola: I think the data structure might have changed. But I’m like until he is done, or at least I dive in
118 00:19:24.450 ⇒ 00:19:32.710 Demilade Agboola: cause. The reason why I asked him was because since he had built it would have like faster turnaround time. In that regard. But he hasn’t responded, so I’m not sure.
119 00:19:33.130 ⇒ 00:19:33.480 Robert Tseng: Okay.
120 00:19:34.750 ⇒ 00:19:47.769 Robert Tseng: alright. Well, I mean he’ll I’ll let him. I’ll give him a bit of time to come back on that. So other things that we didn’t actually bring into cycle that you know, we wanted to kind of deal with. So the cogs duplication, are you gonna handle that this week.
121 00:19:48.850 ⇒ 00:19:53.419 Robert Tseng: I do think that that has big impact, even though no one’s talking about it yet.
122 00:19:54.200 ⇒ 00:19:59.049 Robert Tseng: Yeah, that’s fair. Yeah, I’ll I’ll move that higher up on my priority list.
123 00:19:59.230 ⇒ 00:20:08.830 Robert Tseng: Okay, yeah. So I know we have multiple cogs requests floating around. So this is not like adding, but whatever Jonah wanted to add or like more cogs. Granularity.
124 00:20:08.920 ⇒ 00:20:34.399 Robert Tseng: fine like it’s it’s not better urgent. We don’t need to do it now. I think just, you know, handling the the duplicate cogs by product. That seems more important because everybody’s looking at margin that way. But I, we do. So yeah, there’s that piece. There’s the cogs change logs piece. So that’s like the okay. Rebecca tells us, Booth, when updates their pricing, there’s more the cogs have changed. We need to make sure that we have a log of of that change right? We’ve talked about this before.
125 00:20:35.150 ⇒ 00:20:49.440 Robert Tseng: So whether we’re I don’t know how you’re gonna do it. If it’s gonna be just like a separate model with like products or changes with with those changes. Or if you’re just gonna add another, you know column to the particular model saying.
126 00:20:49.440 ⇒ 00:20:49.900 Josh : Of course.
127 00:20:49.900 ⇒ 00:20:50.860 Robert Tseng: Last Updated.
128 00:20:50.860 ⇒ 00:21:02.630 Josh : From the business side. There’s 2 distinct ways like, I’m thinking about it like a 3D model kind of thing. So there’s this happens at the pharmacy level and at the gate level.
129 00:21:03.540 ⇒ 00:21:07.480 Josh : And so you could have like, and also by the product level.
130 00:21:07.620 ⇒ 00:21:10.190 Josh : right? So if you could have some degree tie
131 00:21:10.767 ⇒ 00:21:25.059 Josh : you know, at a certain dosage coming from one pharmacy on this date. It is this price, but some agreed at that same dosage from that same pharmacy on a second date later that month might be a different price.
132 00:21:25.420 ⇒ 00:21:26.030 Robert Tseng: Yeah.
133 00:21:26.030 ⇒ 00:21:26.959 Josh : You see what I’m saying?
134 00:21:26.960 ⇒ 00:21:27.670 Robert Tseng: Yeah, yeah.
135 00:21:27.670 ⇒ 00:21:33.009 Josh : And so like, that’s how we have to think about all of these folks when you’re setting up this kind of model. It’s like that’d be a
136 00:21:33.558 ⇒ 00:21:39.320 Josh : you know, smart enough to realize, like, Hey, Rebecca, when did this price change go into effect?
137 00:21:39.790 ⇒ 00:21:44.319 Josh : When you know what are the products that are impacted. And what are the pharmacies?
138 00:21:44.520 ⇒ 00:21:48.920 Josh : And then that way, you can basically create the matrix that makes sense.
139 00:21:49.570 ⇒ 00:21:50.910 Robert Tseng: Yeah, exactly.
140 00:21:50.910 ⇒ 00:21:52.990 Demilade Agboola: Yeah, I I think.
141 00:21:53.556 ⇒ 00:22:15.370 Demilade Agboola: what what we’re doing now is a workaround. And I think when we’re thinking of the Emr, we definitely need to think of Apis that can ingest the data from the pharmacies on that day, and so that called value can be associated with that product and that pharmacy on that particular day. And so any changes will reflect, based on the day
142 00:22:15.530 ⇒ 00:22:22.679 Demilade Agboola: which is much easier to model than how we are trying to like retrospectively. Go about it right now.
143 00:22:24.020 ⇒ 00:22:35.709 Robert Tseng: Yeah. But like, yeah, I I hear you. But like, yeah, I mean, there’s in order for to yeah, that that might be the case moving forward. But we have all this historical, like product and pricing data that has
144 00:22:36.310 ⇒ 00:22:38.279 Robert Tseng: oh, no, still needs to be able to. Yeah. So.
145 00:22:38.280 ⇒ 00:22:47.759 Demilade Agboola: No, definitely, I agree. I’m I’m just saying that, like, you know, future states, and like what part of what we should be thinking about also with the Mr. Is to have a system that
146 00:22:48.090 ⇒ 00:22:54.070 Demilade Agboola: it’s not cause even now that there’s the potential of that like days or dates we might overlook.
147 00:22:54.690 ⇒ 00:22:58.260 Demilade Agboola: because, depending on how quickly the cogs values change.
148 00:22:58.510 ⇒ 00:23:02.999 Demilade Agboola: you just might not necessarily know the exact dates that those changes happened.
149 00:23:03.470 ⇒ 00:23:04.100 Robert Tseng: Yeah.
150 00:23:05.650 ⇒ 00:23:29.200 Robert Tseng: Well, so I mean, yes, I I agree with you, Demo. I just think that even even within the Emr situation it may not be perfect because it’s not something the pharmacy uses. So pharmacy may change their date on what may update pricing on one date. And then, because there’s still like a human in the loop, like we may catch the, we might catch it later. And so we may actually update it in our system. On, on, a, on, a.
151 00:23:29.200 ⇒ 00:23:34.599 Josh : So so there’s a there’s a difference to me them a lot of between an emr and an erp
152 00:23:34.900 ⇒ 00:23:37.179 Josh : like we don’t have an Erp yet.
153 00:23:37.270 ⇒ 00:23:57.410 Josh : we will possibly have the Erp, like, you know, we’re gonna build a lot of software here. Even right? There’s gonna be a lot of like Middleware. There’s gonna be a lot of technology solutions that are gonna put in place. And like what you’re describing is definitely more of like an Erp, we’ll probably have some light functionality like, Hey, this product at this location costs this. And we can like.
154 00:23:57.450 ⇒ 00:24:09.029 Josh : send that to you guys. But it’s still never gonna change the fact that it’s dynamic. And then you guys have to have some kind of table that has the memory of like when these changes were made to make accurate predictors.
155 00:24:09.850 ⇒ 00:24:11.190 Demilade Agboola: Yeah, yeah.
156 00:24:12.840 ⇒ 00:24:16.750 Robert Tseng: Yeah, okay, so.
157 00:24:16.750 ⇒ 00:24:17.360 Demilade Agboola: Tweak.
158 00:24:17.640 ⇒ 00:24:18.450 Robert Tseng: Yeah. Go ahead.
159 00:24:18.840 ⇒ 00:24:25.170 Demilade Agboola: Because, like, when I had conversations with Rebecca, Rebecca said, the cogs values come from the pharmacies.
160 00:24:25.750 ⇒ 00:24:31.369 Demilade Agboola: so it kind of requires us to be as close to the pharmacy data as possible.
161 00:24:32.080 ⇒ 00:24:41.440 Robert Tseng: Yeah, but we’re not gonna integrate with them. Oftentimes they’re just sending her a spreadsheet or something. And then she’s basically aggregating that or stripping some stuff out and then sending it to us. So there’s there’s just.
162 00:24:41.440 ⇒ 00:24:41.900 Demilade Agboola: Yeah.
163 00:24:41.900 ⇒ 00:24:43.819 Robert Tseng: Handoff process that we can’t avoid.
164 00:24:44.530 ⇒ 00:24:45.620 Demilade Agboola: Yeah, yeah.
165 00:24:47.160 ⇒ 00:25:13.669 Robert Tseng: She, and she doesn’t do it, and she doesn’t give it to us right away, you know. Sometimes she’ll send us like with the booth when stuff it was like, hey? By the way, this changed like 2 weeks ago, right? And it was like, Okay, well, if she doesn’t tell us until 2 weeks later. Well, we still we have to go and retroactively apply it. We still have to upload. Okay, pricing change 2 weeks ago and everything after that for those particular products, the cause has to be updated. So like, we’re we’re gonna have to. We’re gonna have to be able to handle that. Still.
166 00:25:14.590 ⇒ 00:25:15.980 Demilade Agboola: Okay. Sounds good.
167 00:25:16.230 ⇒ 00:25:37.360 Robert Tseng: Yeah, okay, so you’re gonna you’re gonna update that model. And I, yeah, I let me know what you do. I want to review that I I mean, I haven’t thought about too much. I’m just literally thinking about on this call, but I think it’s we probably need a separate model. And then we also need that, like on the products within the existing models right now, like when like, we need to have a column. For when the product
168 00:25:38.603 ⇒ 00:26:02.400 Robert Tseng: had last been changed. I guess. Cause then that also helps because I can bring that back to Rebecca and be like, Hey, look at this list of products. This was the last time it was changed like, have there been any other pricing updates that we’ve missed? And like, that’s something. I want her team to groom because we yeah, like I, it’s it’s a it is inconsistent coming from her team like on those updates.
169 00:26:03.760 ⇒ 00:26:04.890 Demilade Agboola: Fair enough. Yeah.
170 00:26:05.640 ⇒ 00:26:06.513 Robert Tseng: Okay, cool?
171 00:26:08.343 ⇒ 00:26:18.700 Robert Tseng: So yeah, we can. I think those are probably highest priority things for you to kind of knock out this week. And then yeah, I think everything else we can
172 00:26:19.480 ⇒ 00:26:30.379 Robert Tseng: the like the Cdp stuff like I’ve I’ve already kind of broken it out to tickets. I’m not going to talk about this project with you. I think it’s mostly gonna be a wish that’ll be on it.
173 00:26:31.048 ⇒ 00:26:34.900 Robert Tseng: But yeah, I think the actual like like
174 00:26:35.190 ⇒ 00:26:42.020 Robert Tseng: fingers to keyboard time is gonna be next week we’ll probably have to. We’ll we’ll probably run that next week. So
175 00:26:42.707 ⇒ 00:26:51.050 Robert Tseng: other things the paid media platform. G sheet thing. This is more or less done. I think I’m gonna move this to internal review.
176 00:26:51.600 ⇒ 00:26:58.059 Robert Tseng: We handled that app script updated rob sheet is done like, fully handed over
177 00:26:58.170 ⇒ 00:27:08.289 Robert Tseng: retroactively handle cogs. I’m gonna move this into in progress as well. I know it’s all related. These are. These 3 are somewhat related. But no, I’m just moving things around.
178 00:27:10.190 ⇒ 00:27:29.799 Robert Tseng: the transit. This was like a small ad hoc request. From last week on. They wanted a weekly report, something on like orders delivered. I think this is important. If we can get that to them. Given what Josh is saying about how there’s been like a supply chain crunch. So whatever like reporting, they need to
179 00:27:30.160 ⇒ 00:27:39.939 Robert Tseng: see order, statuses and stuff, if we can see what we can do there. If if you can get to that, too, I would say cogs, and then this one are probably
180 00:27:40.300 ⇒ 00:27:43.431 Robert Tseng: the main things. I’ll take this off your plate,
181 00:27:44.280 ⇒ 00:27:49.159 Robert Tseng: and like you don’t need to. I’ll do that with 2 grand.
182 00:27:49.370 ⇒ 00:27:53.149 Robert Tseng: And then, as far as like the type form stuff, not
183 00:27:54.100 ⇒ 00:27:58.420 Robert Tseng: I mean you’re gonna you said you’ll you’ll follow up on it like shortly after this call. So
184 00:27:59.020 ⇒ 00:28:06.039 Robert Tseng: does that seem fair? I know this. Seems like it’s 5 tickets, but it’s really like stuff that’s carried over and like I don’t like, it’s
185 00:28:06.490 ⇒ 00:28:08.650 Robert Tseng: somewhat related. At least 3 of these.
186 00:28:10.280 ⇒ 00:28:13.100 Demilade Agboola: Okay, so yeah, sure.
187 00:28:13.230 ⇒ 00:28:14.520 Robert Tseng: Okay, that’s good.
188 00:28:16.580 ⇒ 00:28:22.900 Robert Tseng: cool. Yeah. I mean, I I think that’s that’s reasonable for what we can handle today.
189 00:28:26.300 ⇒ 00:28:30.520 Robert Tseng: Okay, cool. We don’t have to take out the full time. I do want to
190 00:28:32.040 ⇒ 00:28:36.311 Robert Tseng: get back some time to. I’m still working through some messages.
191 00:28:38.300 ⇒ 00:28:40.759 Robert Tseng: okay, cool anything else. Just let me know.
192 00:28:41.770 ⇒ 00:28:43.580 Josh : Cool good work. Guys, thanks. So much.
193 00:28:44.130 ⇒ 00:28:44.490 Robert Tseng: Thanks.
194 00:28:44.490 ⇒ 00:28:45.850 Demilade Agboola: Alright, thanks, bye.