Meeting Title: [Javvy] Standup and Weekly Sprint Retro／Planning Date: 2025-03-28 Meeting participants: Annie Yu, Aakash Tandel, Uttam Kumaran, Robert Tseng, Awaish Kumar, Caio Velasco
WEBVTT
1 00:01:36.320 ⇒ 00:01:37.470 Annie Yu: Hello!
2 00:01:41.750 ⇒ 00:01:43.100 Uttam Kumaran: Hello! Good morning!
3 00:01:55.680 ⇒ 00:01:56.459 Aakash Tandel: Hey, everyone.
4 00:01:57.120 ⇒ 00:01:58.320 Annie Yu: Hello! Akash!
5 00:02:00.660 ⇒ 00:02:01.960 Aakash Tandel: How’s it going
6 00:02:02.460 ⇒ 00:02:03.440 Uttam Kumaran: Hey! Good!
7 00:02:05.660 ⇒ 00:02:07.650 Aakash Tandel: Great thanks.
8 00:02:08.550 ⇒ 00:02:13.040 Aakash Tandel: Give Kyle and Robert a minute, but I will pull up screen
9 00:02:29.000 ⇒ 00:02:31.050 Uttam Kumaran: How did this week go? What do we think
10 00:02:39.640 ⇒ 00:02:41.280 Caio Velasco: Anyone have thought so
11 00:02:41.716 ⇒ 00:02:45.640 Uttam Kumaran: Sorry I was like, am I on mute? Hello!
12 00:02:48.920 ⇒ 00:02:51.540 Uttam Kumaran: That did the week go bad? Is that what I’m hearing
13 00:02:58.930 ⇒ 00:03:01.550 Aakash Tandel: I think the one week went great, but I’m
14 00:03:01.890 ⇒ 00:03:03.300 Aakash Tandel: and just the project manager. So
15 00:03:03.559 ⇒ 00:03:09.269 Uttam Kumaran: Who else is? Wait? Who else is on the call? Sorry. Okay, maybe, Annie. How do you think the week went
16 00:03:10.631 ⇒ 00:03:13.730 Annie Yu: Wait! What do you mean? This one or the last one?
17 00:03:13.730 ⇒ 00:03:24.320 Uttam Kumaran: Like like, if someone comes up to you and is like, Yo, how’s your week going? And you’re like, it’s going good. That’s I guess what I’m asking like, how for this client like? How do you think the week went?
18 00:03:25.100 ⇒ 00:03:26.676 Uttam Kumaran: It’s it’s it’s going.
19 00:03:27.070 ⇒ 00:03:31.400 Uttam Kumaran: Okay. I saw your message today, like, what is what do you think?
20 00:03:32.010 ⇒ 00:03:34.170 Uttam Kumaran: What do you think has been the challenge
21 00:03:34.730 ⇒ 00:03:38.500 Annie Yu: Oh, oh, yeah, I think for this one I will.
22 00:03:39.446 ⇒ 00:03:43.823 Annie Yu: I think aware, said we can meet and discuss
23 00:03:44.450 ⇒ 00:03:51.489 Annie Yu: and it’s so hard to to kind of explain the problem. So I really try my best to be like descriptive
24 00:03:51.490 ⇒ 00:03:52.220 Caio Velasco: Okay.
25 00:03:52.600 ⇒ 00:03:57.060 Uttam Kumaran: One suggestion I also have for those types of issues is to record a loom.
26 00:03:57.767 ⇒ 00:04:04.520 Uttam Kumaran: Cause. I also read it. And I’m like, we all have different words for the same sort of technical thing.
27 00:04:04.520 ⇒ 00:04:04.980 Annie Yu: Yeah.
28 00:04:04.980 ⇒ 00:04:18.979 Uttam Kumaran: You know. So one thing, it’s probably helpful. Yeah, I think I think writing it out like even helps your clarity of mine. But recording a loom might be take like 2, 3 min to be like, hey? Trying to do this. I got to this point. I need help.
29 00:04:19.170 ⇒ 00:04:25.890 Uttam Kumaran: you know. Cause even a way he was like, okay, let’s meet, cause I’m sure he saw it and was like, I don’t know what this is
30 00:04:25.890 ⇒ 00:04:26.409 Annie Yu: Yeah.
31 00:04:29.590 ⇒ 00:04:32.206 Aakash Tandel: Alright. I think we can get started.
32 00:04:32.780 ⇒ 00:04:47.639 Aakash Tandel: Robert might or might not join, so we’ll we’ll just kind of go ahead. We’ll start with regular stand up, and then we can kind of go through some we don’t have like quite retro stuff for this week. Instead, I was gonna walk through a roadmap. Item that
33 00:04:47.962 ⇒ 00:05:11.849 Aakash Tandel: we got from Aman. That we’ll talk through afterwards. So instead of like kind of your traditional retro, we’ll do that this week. The retros in general. I blocked off on our calendars for Fridays for about 40, 45 min. We’ll start doing those more regularly, but in the meantime we can. We can use this time as needed. So let’s go ahead and start with regular
34 00:05:11.920 ⇒ 00:05:16.390 Aakash Tandel: stand up, Annie, I have pulled up you so we can start with you
35 00:05:18.040 ⇒ 00:05:22.840 Annie Yu: Yeah, do we start with in progress? Or to do
36 00:05:22.840 ⇒ 00:05:24.019 Aakash Tandel: Like start with in progress
37 00:05:24.420 ⇒ 00:05:25.365 Annie Yu: Okay.
38 00:05:26.890 ⇒ 00:05:34.518 Annie Yu: this one, the 1st one I haven’t started. But I don’t imagine that would be too hard, because we’re already
39 00:05:36.190 ⇒ 00:05:39.440 Annie Yu: updated the models.
40 00:05:40.900 ⇒ 00:05:44.520 Annie Yu: And then where I’m challenged is this
41 00:05:45.610 ⇒ 00:05:49.439 Annie Yu: the 1st one? Investigate how to recreate monthly cohort
42 00:05:55.800 ⇒ 00:06:00.630 Annie Yu: yeah, I kind of have, like 3 main challenge here.
43 00:06:01.250 ⇒ 00:06:06.109 Annie Yu: And that’s do. I like explain it now? Or
44 00:06:06.514 ⇒ 00:06:15.649 Aakash Tandel: I think, for stand up. We’ll just keep it. Keep it quick, so you can just say that you’re working on this it sounds like you, in a way, are going to be meeting to talk through this one. Is that the is that true?
45 00:06:22.510 ⇒ 00:06:24.350 Aakash Tandel: Sorry? Did I lose you guys
46 00:06:25.973 ⇒ 00:06:27.399 Annie Yu: Wait. I’m
47 00:06:27.400 ⇒ 00:06:27.770 Uttam Kumaran: Yeah, and
48 00:06:27.770 ⇒ 00:06:29.790 Annie Yu: Urge to say yes or no.
49 00:06:29.790 ⇒ 00:06:34.679 Uttam Kumaran: No, but I think I wish I wish message saying, let’s meet. Did you guys schedule a meeting yet?
50 00:06:34.680 ⇒ 00:06:36.010 Annie Yu: No, not yet
51 00:06:36.380 ⇒ 00:06:37.580 Uttam Kumaran: Okay, that’s the next step.
52 00:06:38.690 ⇒ 00:06:42.540 Annie Yu: One question for wish. What time zone are you in
53 00:06:45.558 ⇒ 00:06:53.120 Awaish Kumar: I, I’m available in like 9 am. To 2 2 pm.
54 00:06:54.040 ⇒ 00:06:59.650 Awaish Kumar: Es, t time. Zone, yeah. So if you have any questions you can ask in that time
55 00:06:59.650 ⇒ 00:07:00.689 Annie Yu: Alright! Alright!
56 00:07:01.030 ⇒ 00:07:03.480 Annie Yu: Think I’ll just set up a time
57 00:07:05.000 ⇒ 00:07:11.260 Awaish Kumar: Yeah, like, I wanted to ask, like, is this about this data, or like, I don’t know, like we.
58 00:07:11.520 ⇒ 00:07:16.759 Awaish Kumar: I don’t know about lifetimely. If we are pulling in data, or how how we are doing it.
59 00:07:16.860 ⇒ 00:07:19.159 Awaish Kumar: Well, I understand the question.
60 00:07:19.300 ⇒ 00:07:20.979 Awaish Kumar: So I just wanted to like
61 00:07:22.160 ⇒ 00:07:27.750 Awaish Kumar: to clarify. And what help with modeling. But I’m I’m not sure about
62 00:07:28.200 ⇒ 00:07:38.199 Robert Tseng: Oh, which is not about pulling in a lifetime data, lifetimely data. We don’t need to do that. I think Annie’s been working on using our existing data to build.
63 00:07:38.460 ⇒ 00:07:51.399 Robert Tseng: You know, retention cohort similar to what’s being shown here. So I think she just probably needs you to help restructure the the model a bit, so that she can actually build this view
64 00:07:51.780 ⇒ 00:07:54.570 Uttam Kumaran: Yeah, I think it’s probably good. If you guys meet and just discuss
65 00:07:54.760 ⇒ 00:07:55.210 Aakash Tandel: Yep.
66 00:07:55.424 ⇒ 00:07:59.939 Uttam Kumaran: And then, if you can provide us update like, when you think this will go out, I’m sure it’s just like
67 00:08:00.050 ⇒ 00:08:07.820 Uttam Kumaran: Ohish! I think it’s probably just like we need the model structured and more of a retention method. I don’t know whether we have any tables that are structured on Monthly cohort level.
68 00:08:08.558 ⇒ 00:08:10.750 Uttam Kumaran: Yeah, is my guess
69 00:08:12.770 ⇒ 00:08:15.930 Awaish Kumar: Yeah, I I don’t think we have that. But we can
70 00:08:16.330 ⇒ 00:08:20.209 Awaish Kumar: to discuss like, what is the exact requirement. And I can build a model
71 00:08:21.700 ⇒ 00:08:24.869 Aakash Tandel: Okay, yeah, it sounds good. Okay.
72 00:08:25.040 ⇒ 00:08:33.620 Aakash Tandel: yeah. Let us know what comes out of the meeting. And then we can kind of move forward there. And I know you said this one is in progress. You said it’s fairly easy, but I think you’ve just been
73 00:08:33.620 ⇒ 00:08:35.529 Annie Yu: It just takes time. Yeah, I I’ll get
74 00:08:35.539 ⇒ 00:08:35.889 Aakash Tandel: Yeah.
75 00:08:37.620 ⇒ 00:08:40.249 Annie Yu: Probably next Monday or or today
76 00:08:40.590 ⇒ 00:08:45.929 Aakash Tandel: Okay, cool. And then I know that we have these 2 things replicate north beam amplitude.
77 00:08:46.540 ⇒ 00:08:50.879 Aakash Tandel: I think it’s replicate in north beam, the amplitude dashboard that we currently have. Is that correct?
78 00:08:52.750 ⇒ 00:08:54.969 Aakash Tandel: Yep, and then update in blood. Dash
79 00:08:56.690 ⇒ 00:08:57.659 Annie Yu: Yeah, well, I have
80 00:08:57.660 ⇒ 00:09:01.650 Robert Tseng: So subscribe and save, we can. We can take that out of cycle because we’re stuck there. We’re blocked.
81 00:09:01.650 ⇒ 00:09:03.440 Robert Tseng: Yeah, we’re blocked here. Yeah.
82 00:09:05.030 ⇒ 00:09:09.410 Aakash Tandel: But I’m gonna pull this out of cycle.
83 00:09:09.860 ⇒ 00:09:10.540 Aakash Tandel: Okay.
84 00:09:11.310 ⇒ 00:09:20.190 Annie Yu: And while Tom is here I will need to grab time to understand the north beam with you.
85 00:09:20.190 ⇒ 00:09:23.349 Uttam Kumaran: I would probably just handle that in your meeting with the wish
86 00:09:24.360 ⇒ 00:09:27.240 Uttam Kumaran: or slack me with any questions.
87 00:09:27.656 ⇒ 00:09:32.869 Uttam Kumaran: I have negative time, so if you slack me or send me a loom, I’ll answer anything.
88 00:09:33.380 ⇒ 00:09:35.369 Uttam Kumaran: But yeah, probably batch it with the wish
89 00:09:37.410 ⇒ 00:09:41.070 Awaish Kumar: Like for Javi, do we have Nord stream data? I don’t think so.
90 00:09:41.070 ⇒ 00:09:43.130 Uttam Kumaran: I think it’s coming in via portable
91 00:09:45.135 ⇒ 00:09:48.439 Awaish Kumar: I will look at it. But yeah, I search for North Beam
92 00:09:48.570 ⇒ 00:09:51.389 Awaish Kumar: in the Snowflake Schema. I didn’t find anything
93 00:09:52.480 ⇒ 00:09:59.860 Uttam Kumaran: Okay, maybe check. And then there’s something in the portable channel with, what’s his face about
94 00:10:00.090 ⇒ 00:10:02.780 Uttam Kumaran: about a north beam? But yeah, I would just check.
95 00:10:03.570 ⇒ 00:10:08.510 Uttam Kumaran: It’s a pretty simple table, though. It’s literally it’s like it’s sort of like the north beam stuff we’re getting from Creeden
96 00:10:12.195 ⇒ 00:10:21.319 Awaish Kumar: Yeah, it’s simple table, but I was just like we have for Eden. But I’m not sure if we have a table right now for Javi, but I can look at it
97 00:10:22.650 ⇒ 00:10:23.540 Uttam Kumaran: Cool. Okay.
98 00:10:25.840 ⇒ 00:10:27.954 Aakash Tandel: Okay, let’s
99 00:10:29.360 ⇒ 00:10:34.099 Aakash Tandel: Do we have a ticket related to North being for you wish is that in backlog or something?
100 00:10:35.790 ⇒ 00:10:38.120 Aakash Tandel: Alright, I might need to create it. I can create one
101 00:10:38.120 ⇒ 00:10:44.110 Uttam Kumaran: Yeah, I think it’s probably related to this. I think it’s like an investigation on if this is blocked by ingestion.
102 00:10:44.290 ⇒ 00:10:54.059 Uttam Kumaran: So again, I think, probably. And if you guys can just batch all these, and then a wish, whatever necessary work needs to happen to accomplish, just ticket it out and send it to the Channel
103 00:10:55.480 ⇒ 00:10:57.805 Awaish Kumar: Okay. Yeah. Sure.
104 00:11:17.550 ⇒ 00:11:22.299 Aakash Tandel: Okay, great. Let’s pop over to Annie. Is that everything from your end
105 00:11:22.800 ⇒ 00:11:23.390 Annie Yu: Yeah.
106 00:11:25.040 ⇒ 00:11:29.228 Aakash Tandel: Okay, let’s pop over to wish you got a lot of stuff done so far.
107 00:11:30.040 ⇒ 00:11:37.099 Aakash Tandel: do you want to talk through? I think this isn’t testing. So maybe you don’t need to talk through this one. Do you want to talk through in progress stuff
108 00:11:39.066 ⇒ 00:11:44.960 Awaish Kumar: So like for the testing one like Annie was to see if the data is
109 00:11:45.440 ⇒ 00:11:49.260 Awaish Kumar: good, and it is enough for how to build the dashboard and
110 00:11:49.260 ⇒ 00:11:49.640 Aakash Tandel: Okay.
111 00:11:49.930 ⇒ 00:11:52.709 Awaish Kumar: And we are, and for the other ones
112 00:11:53.242 ⇒ 00:12:00.257 Awaish Kumar: the in progress ones like this one. Like I, I just created a attentive data and
113 00:12:01.210 ⇒ 00:12:07.870 Awaish Kumar: like the attentive connector. And we have a like successful initial sync. But
114 00:12:08.440 ⇒ 00:12:11.540 Awaish Kumar: I can’t see any tables in the database.
115 00:12:11.770 ⇒ 00:12:13.699 Awaish Kumar: And I I just select
116 00:12:14.250 ⇒ 00:12:22.890 Awaish Kumar: you in the Channel lutam as well that it like. I don’t know if the Api has correct credentials to get the data, because the connection is
117 00:12:23.120 ⇒ 00:12:26.099 Uttam Kumaran: Yeah. So it’s a, it’s a web. It’s a web hook
118 00:12:26.850 ⇒ 00:12:37.110 Uttam Kumaran: for attentive. So attentive is SMS marketing. We basically are, gonna get a web hook event when it’s a success like that’s the okay that they don’t expose any other Apis.
119 00:12:37.240 ⇒ 00:12:52.119 Uttam Kumaran: So 2 things to test one, we should wait an hour and see we get any events. The second thing, if it doesn’t work, ping them on, and if you could spend 15 min with them, just logging into attentive and seeing if you could fire off a test event.
120 00:12:52.260 ⇒ 00:12:54.030 Uttam Kumaran: That’s probably the 2 steps
121 00:12:56.106 ⇒ 00:13:01.130 Awaish Kumar: So can we log in like. We only have the Api key for
122 00:13:01.130 ⇒ 00:13:03.630 Uttam Kumaran: No, you’ll have to ping him. I don’t know if we have a login yet. Yeah.
123 00:13:03.630 ⇒ 00:13:04.440 Awaish Kumar: Okay. Okay.
124 00:13:04.440 ⇒ 00:13:05.389 Uttam Kumaran: Yeah, yeah.
125 00:13:05.390 ⇒ 00:13:06.310 Awaish Kumar: That’s not
126 00:13:08.575 ⇒ 00:13:09.610 Aakash Tandel: Okay.
127 00:13:10.436 ⇒ 00:13:14.000 Aakash Tandel: Cool. Okay. I know we’re still blocked on some of these things.
128 00:13:15.738 ⇒ 00:13:19.880 Awaish Kumar: For the tiktok we have update from like whatever right
129 00:13:20.610 ⇒ 00:13:25.388 Awaish Kumar: they they will not be able to do it.
130 00:13:26.150 ⇒ 00:13:29.060 Awaish Kumar: So, Tom, should we look for any other tool
131 00:13:29.810 ⇒ 00:13:30.969 Uttam Kumaran: Yeah, I mean, I
132 00:13:30.970 ⇒ 00:13:31.730 Awaish Kumar: What’s it on
133 00:13:31.730 ⇒ 00:13:36.150 Uttam Kumaran: We? Yeah, I mean, I’m I’m I messaged it also to polytomic
134 00:13:36.645 ⇒ 00:13:40.920 Uttam Kumaran: and so they’re gonna get. Get a quote back to us. Probably next week.
135 00:13:41.467 ⇒ 00:13:44.230 Uttam Kumaran: We got a quote back for for Eden. Stuff.
136 00:13:44.410 ⇒ 00:13:49.739 Uttam Kumaran: I just we we’ve been asking them for like quote every day for clients. So I need to give them another couple more days.
137 00:13:56.450 ⇒ 00:13:57.560 Uttam Kumaran: so blocked
138 00:13:58.320 ⇒ 00:13:58.930 Aakash Tandel: Yep.
139 00:13:59.750 ⇒ 00:14:03.749 Uttam Kumaran: And I I put I put notes on. Why, this is blocked and
140 00:14:03.880 ⇒ 00:14:08.680 Uttam Kumaran: that roadmap thing. So if they give you Flack for this just reference that, like
141 00:14:09.200 ⇒ 00:14:14.229 Uttam Kumaran: there’s no other way like there’s no other way to get this right now. There’s no providers that offer this
142 00:14:25.120 ⇒ 00:14:31.060 Aakash Tandel: Okay, sounds good this one. Anything I know that you were, I think, talking
143 00:14:31.060 ⇒ 00:14:33.619 Awaish Kumar: This is also like kind of blocked right? Because we
144 00:14:33.620 ⇒ 00:14:34.140 Aakash Tandel: Yeah.
145 00:14:34.540 ⇒ 00:14:36.000 Awaish Kumar: Don’t have a connector
146 00:14:37.350 ⇒ 00:14:40.370 Aakash Tandel: Is this something else that will be. We’re gonna try to talk to
147 00:14:40.370 ⇒ 00:14:56.289 Uttam Kumaran: Yeah, I did the same thing. So right now, we actually, this is only concerning the subscribe and save data. So maybe we can make it that pretty clear which is like. The problem here is that 5 trend does not provide us the subscribing data subscribe and save portable.
148 00:14:56.440 ⇒ 00:15:00.179 Uttam Kumaran: initially told us that they would support Amazon. There’s been no movement.
149 00:15:00.340 ⇒ 00:15:07.070 Uttam Kumaran: So again, my last resort is to go to polytomic and ask for a quote like
150 00:15:07.520 ⇒ 00:15:34.710 Uttam Kumaran: to be. To be very frank. And this is where, like, I think, when you talk to clients about this, consider this like switching your switching your utility company or switching your phone line. There’s no effect on the downstream stuff, I mean, like, I’m speaking, a little bit hyperbolic here, but like they should consider Etl vendors like their water company. Like whoever services is fine, there’s nuances to each, but like ultimately they should consider it water. So
151 00:15:34.760 ⇒ 00:15:38.550 Uttam Kumaran: whether we do it from polyatomic or portable like or 5 train.
152 00:15:38.720 ⇒ 00:15:46.079 Uttam Kumaran: The pure thing is cost. We move from 5, 10 to portable for cost. We could probably move again, and probably save some more money and get some more coverage.
153 00:15:46.200 ⇒ 00:15:50.679 Uttam Kumaran: This is just part of the game, like finding people to to support what we need.
154 00:15:51.410 ⇒ 00:15:52.040 Uttam Kumaran: So
155 00:15:52.490 ⇒ 00:16:05.249 Uttam Kumaran: they’re gonna freak out and be like, Oh, it’s gonna take another 100 h or so like, just you can like, quell that. And just say, like, we’re gonna find, we’re gonna see whether we can find someone that can support this data. And we’ll we’ll tell you how long it’s gonna take
156 00:16:06.221 ⇒ 00:16:21.399 Uttam Kumaran: but just for context for everybody. There’s several Etl vendors. I’m sure everyone’s worked with a bunch for me. They’re they’re a utility at this point, so we try to find the cheapest, and the one to fit our needs for our for our customers. So we have. We have about 3 or 4 that we cycle between
157 00:16:25.980 ⇒ 00:16:26.500 Aakash Tandel: Okay.
158 00:16:27.150 ⇒ 00:16:31.370 Aakash Tandel: Exclude phone from gorgeous channel type.
159 00:16:34.670 ⇒ 00:16:38.320 Awaish Kumar: One, I think, recently assigned. So I will look at it today.
160 00:16:38.680 ⇒ 00:16:39.280 Aakash Tandel: Okay.
161 00:16:39.280 ⇒ 00:16:45.369 Awaish Kumar: And there was one about consolidating platform fees which I cannot see here. That is done
162 00:16:46.790 ⇒ 00:16:53.184 Robert Tseng: Yeah, actually on that one which I I’m still not really sure how we’re following this like
163 00:16:54.520 ⇒ 00:16:59.780 Robert Tseng: And if I can just share. My, because I’m I’m the one that’s building the dashboards. After that. Let me just
164 00:17:00.210 ⇒ 00:17:01.750 Robert Tseng: move here real quick.
165 00:17:04.500 ⇒ 00:17:05.949 Robert Tseng: I think this is it?
166 00:17:06.079 ⇒ 00:17:24.459 Robert Tseng: Yeah. So I’m I’m in here. I’m looking. Okay. Yeah. So we basically, we removed platform. So you’re saying, platform fees and shopify merchant fee should be the same. But you keep calling. I mean, it’s a bit unintuitive to me. But yeah, basically, like, I don’t know, like I, if I do this, this works, I think we know it doesn’t.
167 00:17:26.290 ⇒ 00:17:29.220 Robert Tseng: Yeah, I don’t know. Something is off again with with
168 00:17:29.220 ⇒ 00:17:32.249 Uttam Kumaran: We just merged this. We just merged this right awaysh.
169 00:17:32.980 ⇒ 00:17:34.240 Awaish Kumar: Yes, yes.
170 00:17:34.530 ⇒ 00:17:38.230 Uttam Kumaran: It just got merged like 30 min ago, but maybe y’all should meet and just
171 00:17:38.440 ⇒ 00:17:40.190 Uttam Kumaran: close this out right after this
172 00:17:40.190 ⇒ 00:17:40.750 Awaish Kumar: So.
173 00:17:42.210 ⇒ 00:17:44.369 Uttam Kumaran: I think a Pr just went out to fix this
174 00:17:44.610 ⇒ 00:17:46.220 Robert Tseng: Yeah, I was looking at it. Maybe.
175 00:17:46.220 ⇒ 00:17:46.760 Robert Tseng: Oh, okay.
176 00:17:46.760 ⇒ 00:18:03.450 Robert Tseng: updated Meta base yet. But like I’m just, I mean the cause. The cause calculation is broken and it’s broken across all the dashboards after that Pr change. So I don’t really know what happened. But we we removed something, and then now none of the none of the things add up. So we need to figure that out
177 00:18:06.150 ⇒ 00:18:11.409 Robert Tseng: before, like this custom column was working. And now it’s blank. So I think, that’s
178 00:18:11.910 ⇒ 00:18:14.070 Robert Tseng: yeah. I guess we we can. We can talk
179 00:18:14.270 ⇒ 00:18:18.618 Robert Tseng: after this call. But that’s that’s what I I need. I want to get out asap
180 00:18:20.370 ⇒ 00:18:23.110 Aakash Tandel: Okay, Robert, do you want to test that? And like
181 00:18:23.210 ⇒ 00:18:26.679 Aakash Tandel: a tiny bit, and then sync up with the wish
182 00:18:27.070 ⇒ 00:18:27.720 Robert Tseng: Yeah.
183 00:18:28.020 ⇒ 00:18:32.890 Aakash Tandel: Should I throw that call that consolidate platform fees ticket back into?
184 00:18:33.525 ⇒ 00:18:34.160 Aakash Tandel: Yeah.
185 00:18:34.160 ⇒ 00:18:34.760 Aakash Tandel: Okay.
186 00:18:35.220 ⇒ 00:18:35.800 Robert Tseng: Yeah.
187 00:18:36.040 ⇒ 00:18:44.089 Aakash Tandel: And do that in progress, and I’ll assign it to Robert at the moment.
188 00:18:45.310 ⇒ 00:18:52.950 Aakash Tandel: Robert, to test and sync up with wish.
189 00:18:53.120 ⇒ 00:18:58.350 Aakash Tandel: if still not working as expected.
190 00:18:59.220 ⇒ 00:19:05.000 Aakash Tandel: Okay, cool. Alright. Let me let me also share my screen.
191 00:19:05.290 ⇒ 00:19:06.489 Aakash Tandel: I can hear me.
192 00:19:10.540 ⇒ 00:19:11.260 Aakash Tandel: Okay.
193 00:19:12.255 ⇒ 00:19:15.039 Aakash Tandel: Cool, alright. Anything else. I wish that you’re working on
194 00:19:18.480 ⇒ 00:19:20.999 Awaish Kumar: For Javi. Yeah, no, that was all.
195 00:19:21.670 ⇒ 00:19:32.209 Aakash Tandel: That’s it. Okay, sweet, alright. And then, Kyle, I don’t know if we assigned anything to. Okay. So these are these are the 2 that are done, and I know you’re investigating some other
196 00:19:32.560 ⇒ 00:19:40.809 Aakash Tandel: stuff I saw in the Channel. Bringing Amazon 1 51. Let me find that
197 00:19:42.570 ⇒ 00:19:45.269 Caio Velasco: Yeah, I think that’s in a backlog or something
198 00:19:46.140 ⇒ 00:19:51.720 Aakash Tandel: Okay, let’s see 1 51. This guy, okay,
199 00:19:53.980 ⇒ 00:20:00.720 Aakash Tandel: I’ll just do this to say, okay.
200 00:20:01.640 ⇒ 00:20:09.919 Aakash Tandel: so let’s just let’s start with this is this the one? No, yeah, this is the same one. Okay, do you want to talk to this guy?
201 00:20:11.435 ⇒ 00:20:21.659 Caio Velasco: Yeah, I think yesterday Robert mentioned a few things, and as as I understand, we have the the let’s call it the original spreadsheet, which seems to have
202 00:20:22.182 ⇒ 00:20:49.270 Caio Velasco: sku and product cost things related to shopify? Not necessarily Amazon. So this one that you’re seeing there. In a link. This one is the one from Amazon. Which is a little bit messy. And then I think Robert answered, something to Aman, and Aman is still to confirm. And then I was also doing some research to understand, like, what? How did that happen in Amazon? In the 1st place, so that we can at least start from like good grounds.
203 00:20:49.985 ⇒ 00:20:57.920 Caio Velasco: But yeah, I mean, it’s I think we’re still waiting for for a month, and I think you can also mention that we should also add something else to a month.
204 00:20:58.564 ⇒ 00:21:01.675 Caio Velasco: But yeah, that’s how how far it’s
205 00:21:03.027 ⇒ 00:21:04.759 Caio Velasco: 11 o’clock. Yeah.
206 00:21:05.990 ⇒ 00:21:07.264 Aakash Tandel: That sounds good.
207 00:21:07.690 ⇒ 00:21:14.180 Uttam Kumaran: So for that like, what’s the out? What is the outcome of this ticket like? What is the like? What’s the success? Criteria? Sorry
208 00:21:16.200 ⇒ 00:21:17.309 Caio Velasco: Yeah, so can you?
209 00:21:17.310 ⇒ 00:21:31.260 Caio Velasco: I believe, yeah, I think this we would. Well, as I understand, we would have to bring to bring that into raw as portable brought the other one, we would be bringing this one. But I I also had this question for Robert. If this, what kind of.
210 00:21:31.260 ⇒ 00:21:34.680 Caio Velasco: Oh, okay, we have. Yes, this is actually a good question.
211 00:21:36.890 ⇒ 00:21:37.690 Robert Tseng: Yeah, I mean.
212 00:21:37.690 ⇒ 00:21:38.540 Uttam Kumaran: Yeah. Go ahead.
213 00:21:39.080 ⇒ 00:21:58.310 Robert Tseng: So yeah, the the shopify 3 Pl cost assumption sheet. It’s not just shopify products. It has shopify plus Amazon products. I was like digging into the archives, and apparently Luke and Pius had gotten a second Amazon specific sheet that includes.
214 00:21:58.580 ⇒ 00:22:10.179 Robert Tseng: you know, the the in. The. In the 1st sheet there are certain skews that are shared across both platforms. The second sheet is the messy one. It’s just all Amazon, only skews.
215 00:22:10.380 ⇒ 00:22:18.091 Robert Tseng: I don’t think that I’ve seen any of those in the database, so it’s like they sent us that sheet. I don’t think Luke and Pies did anything with it, and,
216 00:22:18.370 ⇒ 00:22:43.769 Robert Tseng: If we’re to build out like a version of what we did on the margin dashboard for shopify, and and we copied that the Amazon we wouldn’t be capturing all the Amazon skews. So that’s why we need to bring bring it in. So if we need to have it in the same format as the other one like that’s fine. But to me, this is a similar data management problem to what we’re seeing in Eden, where we’re dependent on a Google sheet that the team doesn’t really maintain
217 00:22:43.900 ⇒ 00:22:46.900 Robert Tseng: he, me and the client so
218 00:22:46.900 ⇒ 00:22:50.300 Uttam Kumaran: And who is it on? Who is it on their end that owns this
219 00:22:50.300 ⇒ 00:22:54.429 Robert Tseng: It’s supposed to be Jonathan who’s their operations. Guy
220 00:22:55.910 ⇒ 00:22:56.899 Uttam Kumaran: Okay, I mean.
221 00:22:56.900 ⇒ 00:23:00.230 Aakash Tandel: Is that the net is that the netsuite? So poll
222 00:23:02.833 ⇒ 00:23:05.589 Robert Tseng: Netsuite question, mark. I don’t think so.
223 00:23:06.030 ⇒ 00:23:11.909 Aakash Tandel: Okay, yeah, I mean, I mean this, I I agree.
224 00:23:12.260 ⇒ 00:23:24.960 Uttam Kumaran: Like, I, I think, 1st like to even to just close out like what the actuals are here. So it’s purely like whatever we’re doing for shopify cogs. We need to bring that into Amazon fact order line. Basically
225 00:23:28.190 ⇒ 00:23:34.939 Robert Tseng: Oh, yeah, well, I don’t. I guess. Yeah. I mean that that would be the end end state in order to to do the same
226 00:23:35.600 ⇒ 00:23:38.329 Robert Tseng: reports that we get on the shopify side. Yeah.
227 00:23:38.330 ⇒ 00:23:50.989 Uttam Kumaran: Okay? So so that’s like that is the real acceptance criteria. Here is Amazon. Whatever the order line equivalent is on Amazon needs to have product level talks. And it doesn’t currently. So that’s
228 00:23:51.090 ⇒ 00:24:10.009 Uttam Kumaran: that is the net net, like technical objective here. And so for me, based on the questions I still want, and I still it’s unclear how far we are from that I think there were questions about Fba. I think I answered some of those I think we have the sheets. I think there’s 2 separate situations here which is like
229 00:24:10.070 ⇒ 00:24:35.810 Uttam Kumaran: whether the sheet is up to date, and whether the sheet is the sheet. I think we should assume the sheet is up to date. Bring in the data as it is there, and then basically have a second conversation. Once they see the data, it’s gonna be really hard for them to comment on accuracy and like ownership without seeing the the finished dashboard. But then we should call it out as a risk at that point. So probably 2 tickets, one ticket is like.
230 00:24:36.100 ⇒ 00:24:47.529 Uttam Kumaran: articulate the risk and like create a process to maintain this data in the spreadsheet. So someone on their side needs to be an owner. And we need to have some sort of reconciliation process like we do with Rebecca and Eden.
231 00:24:47.730 ⇒ 00:24:52.710 Uttam Kumaran: The 1st piece, though, is to bring this into fact order line. So I think,
232 00:24:54.340 ⇒ 00:25:02.830 Uttam Kumaran: Kyle, it’s probably between you and maybe guidance with the wish on, like, what are the steps to take there? I think it’s whatever questions we have
233 00:25:02.990 ⇒ 00:25:09.750 Uttam Kumaran: like. We just need to be really, really, clearly articulated, and so we can. We can put an estimation here and close this out
234 00:25:11.390 ⇒ 00:25:21.340 Caio Velasco: Okay? And the question that I would have here in case we have time is like this, what is exactly the source of through? Is it only that tab the Etl product cost tab.
235 00:25:21.700 ⇒ 00:25:23.210 Caio Velasco: or is it everything?
236 00:25:23.390 ⇒ 00:25:29.109 Caio Velasco: And then I also see the difference. I mean the having skews in one, and not having the other one, I think those
237 00:25:29.260 ⇒ 00:25:35.530 Caio Velasco: are, are also something to to take care. But the source of through this is the one right
238 00:25:37.590 ⇒ 00:25:38.140 Uttam Kumaran: Yeah.
239 00:25:38.140 ⇒ 00:25:38.730 Robert Tseng: Yes.
240 00:25:38.730 ⇒ 00:25:47.430 Robert Tseng: the source of truth for co product level cogs on the shopify side. It includes some skews for Amazon, but then it doesn’t include the Amazon. Only skews
241 00:25:48.040 ⇒ 00:25:52.100 Caio Velasco: Okay, so basically, we want to bring unique skills from Amazon, from
242 00:25:52.100 ⇒ 00:25:56.409 Robert Tseng: Yeah. So if we need to go back and tell them on, give us a different spreadsheet.
243 00:25:56.410 ⇒ 00:25:56.920 Robert Tseng: Yes.
244 00:25:56.920 ⇒ 00:26:03.529 Robert Tseng: same format as whatever we have on the shopify side. That’s that. Just we. I think that’s what I told them. But
245 00:26:04.120 ⇒ 00:26:19.160 Caio Velasco: Okay, yeah. So when I was checking the Amazon website, maybe that’s related to the to that thing called skilled inventory file, that they may send to to Amazon. In the 1st place, I don’t know like, because that’s for on their side, that even their so source of truth I would say
246 00:26:19.430 ⇒ 00:26:19.820 Uttam Kumaran: Yeah.
247 00:26:19.820 ⇒ 00:26:20.530 Caio Velasco: That’s probably
248 00:26:20.530 ⇒ 00:26:28.230 Uttam Kumaran: Helpful is to that’s totally helpful just to message them. Basically, once the client is not gonna give us a good sense of like what format.
249 00:26:28.380 ⇒ 00:26:36.740 Uttam Kumaran: But if you can say, Hey, we need the data in this format. Most likely you can source this. You probably are sending Amazon a file like this already.
250 00:26:37.290 ⇒ 00:26:39.519 Uttam Kumaran: If you can get that file to us.
251 00:26:39.750 ⇒ 00:26:44.969 Uttam Kumaran: or if you can just fill this out, go for it. That’s probably what I would ask.
252 00:26:45.460 ⇒ 00:26:53.680 Uttam Kumaran: Aman should be able to clear that out. And yeah, push all this stuff on them, like if we have, if and this is a good example of like this is something where I think.
253 00:26:53.930 ⇒ 00:27:11.960 Uttam Kumaran: yeah, Robert is. We’re basically beholden to the quality of their data. But this is something that’s so ingrained in their business that they’ve never done before. So ultimately we’re going to be blocked. As soon as they answer some of these questions, we just toss it right back to them because they need to know, like, how fickle this is. Otherwise, we’re going to get caught on the hook.
254 00:27:12.340 ⇒ 00:27:15.310 Uttam Kumaran: you know, for it eventually. So yeah, this is helpful.
255 00:27:18.330 ⇒ 00:27:25.489 Uttam Kumaran: So I think, what what’s helpful here Kyle, is to just send that message. And then also, if you can break this down into like subtasks.
256 00:27:26.010 ⇒ 00:27:41.710 Uttam Kumaran: You know, maybe work with the way you should talk about, think about like what the phases are which is maybe creating the Google sheet, loading it in through portable, bringing the model, bringing it into the model, closing the Pr like. If you can just label those steps.
257 00:27:42.110 ⇒ 00:27:44.519 Uttam Kumaran: then we’ll have a good sense of like the timeline
258 00:27:45.010 ⇒ 00:27:56.919 Caio Velasco: Sure perfect and question on on the portable side. I when I tried to log in I I cannot log in because I don’t have a VPN. Do you guys use anything that is safe? Or or should I
259 00:27:56.920 ⇒ 00:28:00.529 Uttam Kumaran: Yes, I have one for you. I will send it in the
260 00:28:01.360 ⇒ 00:28:06.400 Uttam Kumaran: I will send it in the Brain Forge team Channel, because a lot of people have been asking me, but I have a good VPN.
261 00:28:06.960 ⇒ 00:28:08.029 Caio Velasco: Okay. Perfect. Well.
262 00:28:08.030 ⇒ 00:28:16.950 Uttam Kumaran: I have one that I have one that’s like respected. We don’t have a company wide one, but I’ll send you that. And then, yeah, if more people need one, we can work on a process
263 00:28:17.260 ⇒ 00:28:18.020 Caio Velasco: Perfect.
264 00:28:21.450 ⇒ 00:28:23.530 Aakash Tandel: Okay, cool.
265 00:28:26.690 ⇒ 00:28:32.950 Aakash Tandel: I think that’s it for the time being, for stand up does anyone have anything else? They’re working on
266 00:28:35.520 ⇒ 00:28:40.860 Robert Tseng: Yeah, I mean the Amazon cancel orders investigation. And you send that out
267 00:28:40.860 ⇒ 00:28:41.593 Aakash Tandel: Oh, yeah.
268 00:28:42.180 ⇒ 00:28:47.800 Aakash Tandel: did not really click on you, Robert. Okay, Amazon cancel orders. Okay? So we got this analysis done
269 00:28:49.062 ⇒ 00:28:55.387 Robert Tseng: Yeah. Well, I haven’t finished it. I I mean, I kind of outlined it, but it’ll probably take me like an hour to finish it.
270 00:28:55.930 ⇒ 00:29:00.350 Aakash Tandel: Okay, cool anything else. Here you want to talk about
271 00:29:04.720 ⇒ 00:29:16.860 Robert Tseng: So I mean, that’ll knock out the 1st 2 to actually know the second one is still kind of blocked on the whole cogs thing because it’s like, well, I mean, we can’t really copy the shopify dashboard until we have the product level cogs.
272 00:29:19.720 ⇒ 00:29:21.890 Robert Tseng: So we’re gonna have to push that one out
273 00:29:22.490 ⇒ 00:29:28.550 Uttam Kumaran: If we if we give you like dummy numbers, or give you the columns like, can you build it anyways, and then wait
274 00:29:29.493 ⇒ 00:29:37.129 Robert Tseng: Yeah, I mean, the the building part is not a problem. I think I’m on knows that I will. I. It’s literally just duplicating the shopify
275 00:29:37.130 ⇒ 00:29:38.140 Robert Tseng: totally. Okay? And then just
276 00:29:38.140 ⇒ 00:29:48.989 Robert Tseng: switching the app source to Amazon. So I’m I’m not gonna add any net new tiles to that. They already have like an Amazon dashboard that we put out for them. They’re just asking for something similar to the shopify stuff.
277 00:29:51.060 ⇒ 00:30:03.059 Robert Tseng: yeah. And then on the recharge, the recharge ticket. It’s not really like my call. I think this is supposed to be Kyle and in in a way to to figure out how you’re gonna communicate this to to Aman.
278 00:30:03.536 ⇒ 00:30:07.529 Robert Tseng: But I guess I I did ask him a message already asking him to see.
279 00:30:08.266 ⇒ 00:30:09.810 Robert Tseng: Yeah, it it just
280 00:30:09.950 ⇒ 00:30:18.549 Robert Tseng: this is kind of related to the whole, like Etl costing project as well, because he wants to know, like.
281 00:30:19.720 ⇒ 00:30:33.800 Robert Tseng: I think, because she built out like a work stream, because in one of his requests that he was like, I want to know how much we’re paying for each connector, just like a clear view of the cost. So this is kind of part of the same thing. There
282 00:30:34.170 ⇒ 00:30:34.900 Aakash Tandel: Okay.
283 00:30:34.900 ⇒ 00:30:39.380 Uttam Kumaran: Why do they? Why do they care about this so much? It’s like who the fuck’s asking about this
284 00:30:40.520 ⇒ 00:30:41.499 Robert Tseng: He wants to know.
285 00:30:41.500 ⇒ 00:30:41.880 Robert Tseng: I agree
286 00:30:41.880 ⇒ 00:30:44.399 Uttam Kumaran: Per connector like how much it costs
287 00:30:45.110 ⇒ 00:30:49.470 Robert Tseng: Yeah, well, he’s kind of like, well, if we increase the refresh rate, like, how is that gonna impact
288 00:30:49.470 ⇒ 00:30:56.140 Uttam Kumaran: Is he? But is he just like making up stuff to work on like what I’m just like
289 00:30:56.140 ⇒ 00:30:59.280 Robert Tseng: Yeah, I feel like he’s asking us for quoting jobs all the time.
290 00:30:59.410 ⇒ 00:31:05.360 Uttam Kumaran: Okay. But okay, but like, so so I think one thing here is I gave an answer in the 4 week roadmap
291 00:31:05.970 ⇒ 00:31:09.739 Uttam Kumaran: and I, and that’s probably within 10% of accuracy.
292 00:31:10.020 ⇒ 00:31:19.820 Uttam Kumaran: which is every single thing is 2 50 per connector. Snowflake cost is 300 per month. If we run it faster. It’s gonna go up roughly 20%
293 00:31:19.980 ⇒ 00:31:20.910 Uttam Kumaran: per day.
294 00:31:22.050 ⇒ 00:31:28.090 Uttam Kumaran: Like, there’s we’re gonna we’re not gonna do a forecasting analysis on like $3
295 00:31:28.330 ⇒ 00:31:28.950 Robert Tseng: Yeah.
296 00:31:28.950 ⇒ 00:31:33.810 Uttam Kumaran: So I would ship that answer. In my opinion. Here I would ship that answer.
297 00:31:34.560 ⇒ 00:31:41.870 Uttam Kumaran: see what else he wants to know, and then you should tell him. Yo, this is this stuff is digging into our time to develop
298 00:31:42.290 ⇒ 00:31:47.550 Uttam Kumaran: like this isn’t my free time going and answering these questions, so
299 00:31:49.820 ⇒ 00:31:53.020 Uttam Kumaran: May. And maybe this is something we just need to have in documentation. Maybe we’ve
300 00:31:53.290 ⇒ 00:31:57.659 Uttam Kumaran: I mean, I’ve definitely said it before, but we should just have it in documentation. But yeah, that’s like, roughly, it
301 00:31:58.120 ⇒ 00:32:04.280 Robert Tseng: Yeah, he’s always asking about tooling costs and whatever. So he, this is just something he he just wants a pulse check on
302 00:32:04.280 ⇒ 00:32:10.840 Uttam Kumaran: Yeah, I think he’s just. I think it’s maybe it’s partly like curiosity. Again, I’m fielding a lot of those sort of like 15 seconds here and there.
303 00:32:11.670 ⇒ 00:32:22.200 Uttam Kumaran: If it’s this light, though, I would just say like, Can you just ask in the Channel? And because I’ll answer that in like 10 seconds, and then, if there’s actually work to do, we can bring it to the team. But
304 00:32:22.530 ⇒ 00:32:23.979 Uttam Kumaran: it’s not worth talking
305 00:32:24.320 ⇒ 00:32:25.100 Robert Tseng: Yeah.
306 00:32:25.900 ⇒ 00:32:26.640 Uttam Kumaran: Cool.
307 00:32:28.410 ⇒ 00:32:29.190 Aakash Tandel: Okay.
308 00:32:31.120 ⇒ 00:32:33.429 Aakash Tandel: Alright anything else for you, Robert.
309 00:32:34.040 ⇒ 00:32:42.499 Robert Tseng: That’s it. The gross margin thing will close out so hopefully, I’ll pull out 3 3 of these today with a wish, but I probably do it in an hour.
310 00:32:43.100 ⇒ 00:32:43.710 Aakash Tandel: Okay.
311 00:32:44.840 ⇒ 00:32:54.520 Aakash Tandel: alright, let’s go to the thing I also wanted to share with the team. So this bit of information is something that we?
312 00:32:54.760 ⇒ 00:33:08.649 Aakash Tandel: We’re working on for Aman. This is all the stuff that he’s kind of, requested via Rob. He sent this to Robert for kind of closing out the next. What is it? 3 weeks, 4 weeks for Robert
313 00:33:11.640 ⇒ 00:33:15.530 Robert Tseng: Yeah, like for like, 3, yeah, 3, 4 weeks.
314 00:33:15.860 ⇒ 00:33:17.560 Robert Tseng: Yeah. So on the 20th
315 00:33:18.540 ⇒ 00:33:24.425 Aakash Tandel: Okay, yep, right around 20. So these are kind of the high level items that he wants us to complete.
316 00:33:24.880 ⇒ 00:33:27.529 Aakash Tandel: like, we just talked about
317 00:33:28.020 ⇒ 00:33:37.619 Aakash Tandel: with them was just saying that the you know the question about data ingestion, how much additional cost is gonna come through for portable. This type of thing is
318 00:33:37.933 ⇒ 00:34:00.876 Aakash Tandel: you know, might be answerable right off the bat. But some of the other things that I just wanna show you guys. So you know, it’s coming down the pipe. We still have this stuff that’s so gross margin that’s gonna be finished out this week subscribe and save. So there’s still questions around this. But we’re kind of blocked on that Amazon cancellation. This is another thing that they’re interested in understanding. But we don’t have currently a great
319 00:34:01.380 ⇒ 00:34:21.723 Aakash Tandel: handle on what’s happening here, based off of the data availability, klaviyo and attentive or klaviyo and attentive. I think the models. And so basically, we just have to finish out modeling and reporting for klaviyo, because that’s already connected through portable and then attentive. We are blocked again there for connections.
320 00:34:22.600 ⇒ 00:34:39.920 Aakash Tandel: they they did pass back the Amazon script for address mapping. They had some updates. They wanted Pius to do. Robert, do you think we should be doing that. I mean, I thought the whole point of us shipping that to them was that we didn’t do the work, but they sent it back for revisions. It’s like, okay, yeah.
321 00:34:40.480 ⇒ 00:34:42.730 Robert Tseng: Did they send it back? I didn’t. I didn’t catch that
322 00:34:43.100 ⇒ 00:34:45.170 Aakash Tandel: Yeah, let me.
323 00:34:45.555 ⇒ 00:34:49.020 Robert Tseng: I’m like looking through the in the external channel
324 00:34:51.100 ⇒ 00:35:00.359 Aakash Tandel: Yeah. In the Clavi or Javi external channel from 6 Shaiq. Rabi
325 00:35:01.290 ⇒ 00:35:02.100 Robert Tseng: Oh!
326 00:35:04.592 ⇒ 00:35:06.850 Aakash Tandel: That’s the netsuite.
327 00:35:09.500 ⇒ 00:35:10.180 Aakash Tandel: Yeah.
328 00:35:10.180 ⇒ 00:35:10.900 Robert Tseng: Got it
329 00:35:11.330 ⇒ 00:35:13.063 Aakash Tandel: Yeah, so I don’t know.
330 00:35:13.600 ⇒ 00:35:21.420 Aakash Tandel: I can pull pious in for that if we wanted to. But that’s something that kind of came back. I thought we completed it, but they’re asking for now.
331 00:35:22.217 ⇒ 00:35:30.779 Robert Tseng: Gonna ping him on this. Yeah, no, we’re we’re. I mean, it’s yeah, we- we will. We’ll have to add additional hours for that. If it if that’s what he wants. But
332 00:35:31.320 ⇒ 00:35:39.650 Robert Tseng: Tyus’s response was, basically, Hey, this is a new format. We weren’t getting this from netsuite before. This is a completely different data source. They’re that setting us.
333 00:35:39.780 ⇒ 00:35:50.030 Robert Tseng: So if we’re going to build that into the script, well, of course, it’s gonna take development time. So yeah, we would. I think I’ll clarify that here
334 00:35:50.620 ⇒ 00:36:14.899 Aakash Tandel: Okay, the Tiktok shop connection again with them, was saying that this is a completely new connector. So this is something that we’re still kind of working with Etl providers to see who can get this us to us. That’s again blocked portable connectors. So they wanna reduce the number of connectors through portable which might happen just by default. If we connect these other things through polytomic. So that’s we’ll figure that out same thing with this sync.
335 00:36:15.273 ⇒ 00:36:29.949 Aakash Tandel: north, meme data is something is, we’re also getting that on Eden. So I think, for Annie and a wish when you guys sync on North beam. I actually can you send me an invite and add me as optional? Because I’d like to know? Kind of our
336 00:36:29.950 ⇒ 00:36:52.270 Aakash Tandel: what we’re thinking about north beam, and how we think that data can be ingested, modeled, and visualized, because that seems to be a thing that’s coming up on Eden as well. So if we have good learnings from Javi, that’ll be good to translate over to Eden, so feel free to include me on that meeting and then the other thing I wanted to highlight is they did hire a data analyst on their end. So
337 00:36:52.550 ⇒ 00:37:13.509 Aakash Tandel: it’s look like it’s gonna look like that. We are training up that data analyst. So a lot of the work, I think, would make sense for Annie to be kind of the pair partner with that analyst and Annie, I will sync up with you on timing. They sent me asking for sometimes. That might be tough for East coast, but I will let you know
338 00:37:13.989 ⇒ 00:37:24.360 Aakash Tandel: on on that. But at a high level we can kind of walk them through kind of the stuff we’ve built and a lot of the stuff that you’ve built out on the dashboards would be a good walkthrough
339 00:37:25.010 ⇒ 00:37:26.750 Aakash Tandel: Does anyone have questions
340 00:37:27.306 ⇒ 00:37:41.349 Aakash Tandel: the other thing is also we have a meeting with him because he thought these estimates were a little high on his end, which I’m not sure how much more we can pull them down. But we are meeting with him one day to talk about that.
341 00:37:47.290 ⇒ 00:37:48.050 Aakash Tandel: Okay?
342 00:37:48.510 ⇒ 00:37:57.769 Aakash Tandel: No questions. Okay. Sweet. Well, this was not a standard retro. We will in the future do more standard retros.
343 00:37:59.020 ⇒ 00:38:02.959 Aakash Tandel: especially once we get into cadence of like kind of what we’re building and shipping.
344 00:38:03.303 ⇒ 00:38:23.140 Aakash Tandel: If anyone has any questions feel free to ask in the Channel. I know there’s a lot of like syncs like Annie innovation. I think, Kyle, in a way, you’re gonna mute, too. Just throw me as optional on those, and I’ll join as many as I can. Just so I can have context into kind of what we’re working on. And then I, if I get questions from, I’m on or I can unblock you guys, I’ll try to do that as well
345 00:38:24.360 ⇒ 00:38:26.050 Annie Yu: Thank you. Akash!
346 00:38:26.550 ⇒ 00:38:27.179 Caio Velasco: Yeah, thanks.
347 00:38:27.180 ⇒ 00:38:27.850 Caio Velasco: Thank you.
348 00:38:29.060 ⇒ 00:38:30.900 Robert Tseng: All right.
349 00:38:31.240 ⇒ 00:38:31.639 Aakash Tandel: See ya
350 00:38:32.100 ⇒ 00:38:32.640 Caio Velasco: Thank you.