Meeting Title: Brainforge x Shivani Reporting Sync Date: 2026-02-11 Meeting participants: Shivani Amar, Robert Tseng, Amber Lin
WEBVTT
1 00:00:41.820 ⇒ 00:00:43.070 Robert Tseng: Hey, Shivani.
2 00:00:44.580 ⇒ 00:00:45.450 Shivani Amar: Hello.
3 00:00:48.900 ⇒ 00:00:50.120 Shivani Amar: How you doing?
4 00:00:51.010 ⇒ 00:00:56.279 Robert Tseng: Good. Good to be back. Still cold in New York, but it’s better than it was two weeks ago.
5 00:00:56.450 ⇒ 00:00:58.359 Shivani Amar: How was… did you go to Disney?
6 00:00:59.080 ⇒ 00:01:03.030 Robert Tseng: We actually ended up not doing Magic Tinda, we went to Epcot, so…
7 00:01:03.030 ⇒ 00:01:05.029 Shivani Amar: Oh, wow, okay. How was that?
8 00:01:05.680 ⇒ 00:01:17.649 Robert Tseng: Epcot was actually great, and because it was Super Bowl day… Sunday, like, there wasn’t… there weren’t that many people, got on all the rides we wanted to, and… I mean, it’s… it’s cool, like, I’m sure… I mean, I don’t even know.
9 00:01:17.650 ⇒ 00:01:18.460 Shivani Amar: Never been.
10 00:01:18.730 ⇒ 00:01:24.260 Robert Tseng: Okay, they hire people from each of those countries, and so it actually was, like, a pretty…
11 00:01:24.420 ⇒ 00:01:29.119 Robert Tseng: like, people from Morocco are serving you, like, Moroccan food and stuff, and it’s like, wow, it’s pretty cool.
12 00:01:29.120 ⇒ 00:01:30.780 Shivani Amar: That’s great.
13 00:01:31.630 ⇒ 00:01:32.570 Robert Tseng: Yeah.
14 00:01:34.660 ⇒ 00:01:39.089 Shivani Amar: Okay, what do we want to jam on today?
15 00:01:40.020 ⇒ 00:01:50.940 Robert Tseng: Yeah, I mean, I… Tom basically was like, hey, can you take over this, like, weekly that he does with you? I know you… it’s more ad hoc with him, and you guys probably meet for, like, a couple hours a week.
16 00:01:50.980 ⇒ 00:02:00.589 Robert Tseng: I just was like, okay, well, let’s just throw 30 minutes on. We could turn this to recurring if helpful, but I would just like to gather requirements for reporting from you, and…
17 00:02:01.000 ⇒ 00:02:16.049 Robert Tseng: Yeah, I mean, a lot of this is gonna, at least in first draft, start Google Sheets, like, I’m pretty much directing what that should look like anyway, so I should be involved at this point, and then… and Amber’s been touching some of it as well, so I just had her on… be on this call as well.
18 00:02:16.360 ⇒ 00:02:19.209 Shivani Amar: Gotcha. Amber, are you available for video on this call?
19 00:02:21.540 ⇒ 00:02:24.669 Amber Lin: I’m listening, and I’m on my lunch break.
20 00:02:24.670 ⇒ 00:02:30.730 Shivani Amar: Okay, gotcha. Okay, so Robert, like,
21 00:02:31.120 ⇒ 00:02:40.009 Shivani Amar: we’re talking… like, can you frame it a little bit? Because I’m like, it’s a little bit vague. I’m not totally… I’m like, do you want to talk retail? Do you want to talk wholesale? What is the…
22 00:02:41.040 ⇒ 00:02:45.270 Robert Tseng: Yeah, well, I know you’re meeting on wholesale later, so I don’t feel like we need to talk about that more.
23 00:02:45.270 ⇒ 00:02:45.720 Shivani Amar: Yeah.
24 00:02:46.090 ⇒ 00:02:48.380 Robert Tseng: I did hear about the…
25 00:02:48.640 ⇒ 00:02:53.039 Robert Tseng: I mean, I think the formatting from yesterday has already been solved, I think…
26 00:02:53.250 ⇒ 00:02:56.909 Robert Tseng: Yeah, so we could probably spend more time on retail, I feel like would be… would make more sense.
27 00:02:56.910 ⇒ 00:03:02.740 Shivani Amar: Okay, cool. So, does, can you talk me through where you are on the retail side of things now?
28 00:03:03.330 ⇒ 00:03:12.170 Robert Tseng: Yeah, so, I mean, I’ve seen the first kind of draft from our team on the retail reporting. I mean, I just give tactical feedback on, like.
29 00:03:12.200 ⇒ 00:03:24.120 Robert Tseng: how things should look. I don’t… that’s… that’s about all I have. I don’t… like, I have the transcripts as well from previous meetings, so I’ve, like, heard some of the recent takeaways, but I don’t really know what the next version of this should look like.
30 00:03:25.070 ⇒ 00:03:35.439 Shivani Amar: Sorry, so, like, the next version of what, like, what do you guys have? Do you have clean tables? What have you, like, what have you joined so far? Like, I don’t… I don’t really know what’s been happening on the retail side on your ends.
31 00:03:36.420 ⇒ 00:03:51.829 Robert Tseng: Okay. Well, yeah, I mean, based on the… this is all fill requests, all the POS, like, retail summary, like, stuff that we… that we got. I mean, I… I see… I actually don’t know who built this first version, it might have been someone on our team, or someone… I guess it was…
32 00:03:51.830 ⇒ 00:04:09.409 Amber Lin: Yeah, I think Phil gave us a template. Currently, we’re just building… building the models to get that data, and then, like, once he does that, I’ll be able to put that in. So I think we’re expecting that by either end of this week or very early next week.
33 00:04:09.430 ⇒ 00:04:15.899 Amber Lin: So that’s the progress there. I think the report is, based on what Phil wanted, so he built…
34 00:04:15.910 ⇒ 00:04:22.349 Robert Tseng: Yeah, the two grains he’s asking for are by retailer and by category, so that’s pretty much what Awash is finishing this week.
35 00:04:23.410 ⇒ 00:04:38.040 Shivani Amar: Okay, so, like, maybe we don’t need to be meeting right now if there’s… that’s kind of… like, do you get what I’m saying, Robert? I’m kind of like, I didn’t know if you guys had things you wanted to talk about, and questions you had, but I don’t have, like, something proactively that I want to jam on. I want to jam with Utam about…
36 00:04:38.040 ⇒ 00:04:47.029 Shivani Amar: project at large and stuff like that. I have time with him later, and then we have time to talk about wholesale formatting. So, like, is there anything specific that would be helpful for you guys from me?
37 00:04:48.650 ⇒ 00:04:51.589 Robert Tseng: No, I’m… I don’t… I don’t have anything.
38 00:04:52.100 ⇒ 00:05:16.619 Shivani Amar: Okay, that’s fine. Let’s be purposeful about what the meeting is, because otherwise we could have saved time, but I think, like, the thought is, it’s like, if you guys said, hey, this is what we’re learning from retail so far, this is what we’re seeing, then I could have something to react to, right? But if it’s just, like, Awish is working on cleaning up the data, like, I’m very curious, like, how is it joining wholesale, Walmart and Target data? Like, where
39 00:05:16.620 ⇒ 00:05:32.690 Shivani Amar: are you seeing, like, differences in how they, like, talk about, oh, the date of the week ending, or whatever? Like, are their point of sales apples to apples? Like, those are all the questions that I have, but if that’s not what this meeting is for right now, then I don’t think I have anything else.
40 00:05:32.690 ⇒ 00:05:33.930 Shivani Amar: to discuss.
41 00:05:34.850 ⇒ 00:05:49.619 Robert Tseng: Okay, yeah, I mean, I think, like, the… from my perspective, like, I know that you jam with Utam on things. I want to decouple some of that, like, I want him to be more focused on engineering over overall project, and kind of where things are headed.
42 00:05:49.620 ⇒ 00:05:57.550 Robert Tseng: anything of, like, those questions that you’re bringing up, like, yeah, we should… I mean, I would like to come to you with those things, so that’s helpful for me, at least to know, like.
43 00:05:58.060 ⇒ 00:06:07.149 Shivani Amar: That’s why I’m asking what has been done so far. Like, have you been able to join any Walmart and Target data? Like, have… like, if I were to say, what were sales…
44 00:06:07.350 ⇒ 00:06:21.710 Shivani Amar: across those two stores yesterday, would you be able to find it? Like, I just don’t even… like, are you like, oh no, they’re defining sales differently, point of sales is… like, what are you actually seeing in, like, the delta between the Target and Walmart data right now?
45 00:06:22.570 ⇒ 00:06:23.090 Shivani Amar: Like, what’s.
46 00:06:23.090 ⇒ 00:06:23.460 Robert Tseng: Okay.
47 00:06:23.460 ⇒ 00:06:28.350 Shivani Amar: Do you have an answer to that, or, like, should we table this and talk about it later? That’s what…
48 00:06:28.350 ⇒ 00:06:30.889 Robert Tseng: Yeah, no, we should, we should table it, talk about it later.
49 00:06:30.890 ⇒ 00:06:45.490 Shivani Amar: Okay, cool. So, like, that’s, like, the feel. I’m like, if we’re gonna jam, then I… we need something to jam about. I’m not trying to be… I’m not trying to be difficult, I’m just, like, if we’re gonna jam and, like, do these sessions, then I need, like, a topic at hand, and then I have plenty of things and places we can take it.
50 00:06:45.490 ⇒ 00:06:54.430 Shivani Amar: Right? Like, right now, I’m kind of like, wholesale revenue, we’re gonna talk to finance about it, right? Like, what is gonna make all of this work successful is if it…
51 00:06:54.840 ⇒ 00:07:04.790 Shivani Amar: lands for the, like, the people at Element to be able to, like, answer basic questions. Everybody’s like, we have this retail data, but, like, what can I actually glean from it right now?
52 00:07:06.740 ⇒ 00:07:07.440 Robert Tseng: Yeah, I agree.
53 00:07:07.440 ⇒ 00:07:13.129 Shivani Amar: wants to know, okay? Sure. Okay. We’ll talk later, then. Okay, that’s good. Okay, thanks.