Meeting Title: Supply Chain Discovery Sync Date: 2026-05-04 Meeting participants: Robert Tseng, Jasmin Multani, Uttam Kumaran, Awaish Kumar
WEBVTT
1 00:00:07.950 ⇒ 00:00:08.910 Jasmin Multani: Hi.
2 00:00:09.480 ⇒ 00:00:10.950 Robert Tseng: Hey, Jasmine.
3 00:00:11.250 ⇒ 00:00:13.689 Jasmin Multani: Sorry, I dropped the ball on that one.
4 00:00:13.690 ⇒ 00:00:19.200 Robert Tseng: No, no, all good. It’s fine. We’ll… we’ll just… just patch it.
5 00:00:20.810 ⇒ 00:00:23.919 Jasmin Multani: I was able to meet up with Alwaysh, another one.
6 00:00:23.920 ⇒ 00:00:24.900 Robert Tseng: Okay, great.
7 00:00:24.900 ⇒ 00:00:41.900 Jasmin Multani: And he said that he only had 5 minutes to jam on it with me, so we basically, went through this… at a high level, we were like, okay, anything that isn’t filled out and doesn’t look familiar to us, we’re gonna label it as to be scoped. And that’s how I fleshed out the spreadsheet.
8 00:00:42.680 ⇒ 00:00:45.640 Robert Tseng: I see. Okay, I have it pulled up here.
9 00:00:46.070 ⇒ 00:00:55.030 Robert Tseng: Great. Yeah, I just need some talking points, which is like, oh, why didn’t you do this just last week? I thought you guys were gonna clean up those documents. So, yeah,
10 00:00:55.270 ⇒ 00:01:01.389 Robert Tseng: Yeah, so there’s that. Did you ever send her the rewrite of the VP-facing message? Because she’ll probably want that, too.
11 00:01:01.590 ⇒ 00:01:07.519 Jasmin Multani: I… I made some edits in her supply chain… executive supply chain, so that’s why I’m also confused, like…
12 00:01:07.830 ⇒ 00:01:15.780 Jasmin Multani: I literally asked her, like, do you want us to come up with a net new document that’s separate from yours? But let me pull that up.
13 00:01:16.190 ⇒ 00:01:17.040 Robert Tseng: Okay.
14 00:01:19.720 ⇒ 00:01:24.680 Jasmin Multani: Yeah, it’s at the very end, like, I definitely rewrote and put in my edits in here.
15 00:01:30.830 ⇒ 00:01:35.919 Robert Tseng: Which… which talk is this? This is the follow-on, or is this a supply chain discovery?
16 00:01:35.920 ⇒ 00:01:41.539 Jasmin Multani: It’s the… Supply Chain Discovery, scroll all the way down to the bottom.
17 00:01:47.330 ⇒ 00:01:53.469 Jasmin Multani: So, I’m also, like… I guess she just wants to see what we’re contributing.
18 00:01:57.260 ⇒ 00:01:58.130 Robert Tseng: Yeah.
19 00:01:59.740 ⇒ 00:02:06.670 Robert Tseng: Oh, I see this exact subject. You… she wrote this, you edited it, and then she, like, she made this diagram to you?
20 00:02:06.940 ⇒ 00:02:07.970 Jasmin Multani: Yeah.
21 00:02:08.250 ⇒ 00:02:08.870 Robert Tseng: Bye-bye.
22 00:02:12.050 ⇒ 00:02:13.349 Robert Tseng: Well, well…
23 00:02:14.580 ⇒ 00:02:21.110 Robert Tseng: I think, like, these are all… I didn’t realize this was here, actually, so I feel like all of these should end up in the data sources tab.
24 00:02:22.320 ⇒ 00:02:25.769 Robert Tseng: I’m just gonna share my screen, we can just…
25 00:02:26.660 ⇒ 00:02:31.249 Robert Tseng: I just want to have, like, a clear through line here.
26 00:02:34.080 ⇒ 00:02:36.640 Robert Tseng: Do you think it’s necessary to put these in here?
27 00:02:37.350 ⇒ 00:02:44.499 Jasmin Multani: I think… I think it’s overkill, I think putting each of these is overkill.
28 00:02:44.500 ⇒ 00:02:45.320 Robert Tseng: Yeah.
29 00:02:45.320 ⇒ 00:02:55.980 Jasmin Multani: But… Some of these do overlap onto what we have.
30 00:02:56.430 ⇒ 00:02:56.870 Robert Tseng: Yeah.
31 00:02:56.870 ⇒ 00:02:58.860 Jasmin Multani: Emerson, Amazon.
32 00:02:59.980 ⇒ 00:03:07.950 Robert Tseng: Well, this is just her way of visualizing, like, what it was, and this is more for us, so it’s like, maybe we don’t need the same level of granularity as her, but…
33 00:03:07.950 ⇒ 00:03:09.640 Jasmin Multani: Yeah, and I think that’s, like…
34 00:03:10.640 ⇒ 00:03:15.810 Robert Tseng: So, like, the co-packer inventory reports, that’s basically all the co-mands here.
35 00:03:15.920 ⇒ 00:03:21.980 Robert Tseng: So I guess I could just… call that BMC, DPI…
36 00:03:22.200 ⇒ 00:03:25.010 Robert Tseng: I just… I’m just gonna cover my bases. Okay.
37 00:03:25.300 ⇒ 00:03:25.980 Jasmin Multani: Yeah.
38 00:03:33.860 ⇒ 00:03:44.480 Robert Tseng: There’s also the… We had SKU reports here previously. Is that gonna come from here, these buyers?
39 00:03:46.090 ⇒ 00:03:51.029 Jasmin Multani: I think… Would it be… would it be… would it make sense that it comes from…
40 00:03:52.020 ⇒ 00:03:55.650 Jasmin Multani: Look, I think we’re also conflating UPC and SKUs.
41 00:03:55.840 ⇒ 00:04:02.500 Jasmin Multani: like, SKU, from what I understand, comes out from the retailers, and it’s bespoke to the retailers.
42 00:04:02.730 ⇒ 00:04:03.250 Robert Tseng: Yeah.
43 00:04:03.250 ⇒ 00:04:07.509 Jasmin Multani: But then the UPC is supposed to be universal, and that’s what…
44 00:04:07.790 ⇒ 00:04:16.080 Jasmin Multani: I’m trying to backtrack in our data, like, is it actually… is what we’re recording actually universal, or is something else going on?
45 00:04:16.810 ⇒ 00:04:17.600 Robert Tseng: Yeah.
46 00:04:19.740 ⇒ 00:04:27.960 Jasmin Multani: I think last week we also talked about how we wanna,
47 00:04:28.760 ⇒ 00:04:35.630 Jasmin Multani: Prioritize the data sources that are connected to our external vendors coming in.
48 00:04:37.090 ⇒ 00:04:48.040 Jasmin Multani: So those should be P1, and then P2 is gonna be, like, things that are data sources that help the internal team pass information amongst each other.
49 00:04:55.180 ⇒ 00:04:57.080 Robert Tseng: Okay.
50 00:04:59.530 ⇒ 00:05:07.360 Robert Tseng: So I didn’t quite expect the dates here. We were… I think we need to put 70s there. I think she’s just gonna…
51 00:05:07.870 ⇒ 00:05:13.219 Robert Tseng: And this is just gonna grill me on, like, what did we actually do, like, Thursday, Friday? So, like…
52 00:05:13.360 ⇒ 00:05:17.719 Robert Tseng: Yeah. Can we… can we just make the call between the two of us on this? Like… Okay.
53 00:05:17.720 ⇒ 00:05:18.080 Jasmin Multani: Yes.
54 00:05:18.080 ⇒ 00:05:20.870 Robert Tseng: In the days can shake, but like… Okay.
55 00:05:23.370 ⇒ 00:05:26.989 Jasmin Multani: I think… we can prioritize SKU.
56 00:05:28.040 ⇒ 00:05:32.479 Jasmin Multani: SKU, and then… We can say that could be ingested.
57 00:05:35.830 ⇒ 00:05:42.839 Jasmin Multani: Okay, so, supply chain… Snowflake share, so that means…
58 00:05:44.100 ⇒ 00:05:48.070 Jasmin Multani: We already have that pipeline, can we say… like…
59 00:05:48.330 ⇒ 00:05:54.459 Robert Tseng: So, skew, like, which channel? Is this just, like, all channel? Like, I guess, is this just, like, a separate report? Like…
60 00:05:55.010 ⇒ 00:05:55.680 Robert Tseng: I…
61 00:05:58.010 ⇒ 00:06:05.060 Jasmin Multani: I’m not sure… I just had seen it, but let’s… we can call it as, like, a SKU retail report.
62 00:06:08.330 ⇒ 00:06:08.980 Robert Tseng: Okay.
63 00:06:14.630 ⇒ 00:06:18.000 Jasmin Multani: And that could be something that’s like, okay,
64 00:06:18.100 ⇒ 00:06:27.710 Jasmin Multani: how do, like, what’s available at different, retailers? Is there an overlap in SKUs, and overlap in items?
65 00:06:48.030 ⇒ 00:06:56.539 Robert Tseng: I feel like I’m just gonna kinda bring some… a lot of these things in here. I’m not gonna go to the channel level, I suppose, but I guess Emerson, SPS…
66 00:06:56.940 ⇒ 00:07:02.739 Robert Tseng: Why is Jotis and Emerson kind of conflated? I guess that’s fine.
67 00:07:03.150 ⇒ 00:07:05.560 Robert Tseng: SPS, Opus Discovery…
68 00:07:05.560 ⇒ 00:07:09.300 Jasmin Multani: I think she threw in our discovery calls into thought, and then…
69 00:07:09.480 ⇒ 00:07:11.189 Jasmin Multani: Just took it at face value.
70 00:07:11.930 ⇒ 00:07:13.500 Robert Tseng: Yeah, okay.
71 00:07:14.460 ⇒ 00:07:20.500 Robert Tseng: Well, so, like, Jodis and Emerson are actually separate, like, we should separate this out.
72 00:07:36.670 ⇒ 00:07:40.410 Robert Tseng: I don’t think JOTUS is P0, and we’ll just call that P1.
73 00:07:43.530 ⇒ 00:07:53.329 Robert Tseng: Some of these I don’t remember. Like, Drink Pack? I don’t even know what that is. Yeah, some of these I don’t recall at all, so I… I guess, like…
74 00:07:55.160 ⇒ 00:07:57.990 Robert Tseng: Yeah, what are we… Pharmachem, like, what are we thinking about these?
75 00:08:05.120 ⇒ 00:08:09.180 Jasmin Multani: Hold on. So, the thing about these,
76 00:08:09.500 ⇒ 00:08:15.300 Jasmin Multani: I think… I guess these are Komen’s, right? The… Pharmachem, sense of pure stuff?
77 00:08:16.150 ⇒ 00:08:16.880 Robert Tseng: Huh.
78 00:08:17.190 ⇒ 00:08:29.060 Jasmin Multani: Yeah, so they also… I remember Julie and Lauren saying that, different commands will also, create different flavors.
79 00:08:29.430 ⇒ 00:08:33.049 Jasmin Multani: And that sometimes those flavors are exclusive to the commands.
80 00:08:33.470 ⇒ 00:08:46.959 Jasmin Multani: So that’s gonna help, so they… so each co-man needs to be monitored separately in order for people to understand, where the raw materials are in terms of production.
81 00:08:49.700 ⇒ 00:08:54.869 Jasmin Multani: So that, that’s gonna… the command level has to have a high level of granularity.
82 00:09:09.040 ⇒ 00:09:15.550 Robert Tseng: Okay, yeah, I feel like I’m, like, missing a conversation that happened here. I don’t really know, like… 8.
83 00:09:16.020 ⇒ 00:09:24.919 Robert Tseng: like, as my… if I’m gonna jump on, she’s gonna, whatever, girl me on the dog, so I’ll be updated, and be like, well, look, you already have your executive summary.
84 00:09:24.930 ⇒ 00:09:38.039 Robert Tseng: we walked through this with you, like, you presented your data flow diagram, like, it’s different from what we presented from the data sources, because we’re only going to capture things that we actually can,
85 00:09:38.490 ⇒ 00:09:46.180 Robert Tseng: Yeah, I mean, like, not everything that you’ve listed out at the command level is necessary for us, like, it’s all gonna come in, like, random reports anyway.
86 00:09:48.020 ⇒ 00:09:57.490 Robert Tseng: Jasmine went through the sampling discovery with you, don’t really know what the takeaway was. So, yeah, I guess I’m just, like, walking… I’m just, like, dry running, like, what I’m…
87 00:09:57.840 ⇒ 00:09:59.079 Robert Tseng: conversation’s gonna go.
88 00:09:59.080 ⇒ 00:10:02.900 Jasmin Multani: Yeah, yeah. Sorry for this.
89 00:10:03.340 ⇒ 00:10:09.819 Jasmin Multani: I also threw in the spreadsheet that records all of… that recorded all of our,
90 00:10:10.210 ⇒ 00:10:12.780 Jasmin Multani: feedback from Julie and Lauren.
91 00:10:13.600 ⇒ 00:10:14.730 Jasmin Multani: About their report.
92 00:10:14.730 ⇒ 00:10:15.880 Robert Tseng: with them on Friday.
93 00:10:16.430 ⇒ 00:10:18.570 Jasmin Multani: Friday, and…
94 00:10:18.910 ⇒ 00:10:20.920 Robert Tseng: Oh, great. Okay. Yeah.
95 00:10:22.100 ⇒ 00:10:25.029 Jasmin Multani: So if you scroll to the right, and look at the…
96 00:10:26.760 ⇒ 00:10:27.520 Robert Tseng: Yeah.
97 00:10:27.520 ⇒ 00:10:31.340 Jasmin Multani: there are a lot of notes, but from here, we also… I also started, like.
98 00:10:32.060 ⇒ 00:10:44.429 Jasmin Multani: labeling, okay, where is this information coming in? Like, at what stage? And, what is the fresh, like, how fresh does the data have to be? So…
99 00:10:45.900 ⇒ 00:10:54.719 Jasmin Multani: I think we can at least say that, hey, because we have Julie and Lauren’s information, we can start jamming on, setting up the pipeline.
100 00:10:57.180 ⇒ 00:10:59.699 Jasmin Multani: I’m just, like, nervous about putting a date to it.
101 00:11:00.790 ⇒ 00:11:16.570 Robert Tseng: Okay, so she’s gonna be like, when can we put a date on it, on the… on this stuff? And, when do we feel like we can do that? Like, I think I… I deflected it by saying, oh, we needed the week to kind of talk through it, and when we would come up with a timeline. We don’t have a timeline today. I think she’s gonna… I think she’s gonna ask me for the timeline.
102 00:11:17.140 ⇒ 00:11:23.390 Jasmin Multani: Okay, so for… in terms of this, then… The timeline to…
103 00:11:24.040 ⇒ 00:11:28.050 Jasmin Multani: mirror the Julie and Lauren notes to…
104 00:11:28.350 ⇒ 00:11:32.289 Jasmin Multani: actual data pipelines, can we say that that can be done by Wednesday?
105 00:11:32.580 ⇒ 00:11:38.749 Robert Tseng: Okay. I’ll say, oh yeah, we didn’t really finish meeting with them until Friday, and then, you know, whatever, like, I guess we just…
106 00:11:39.420 ⇒ 00:11:43.809 Robert Tseng: what, like, their inputs, like, their… like, what about…
107 00:11:44.020 ⇒ 00:11:47.960 Robert Tseng: these notes would impact the timeline, I guess.
108 00:11:50.110 ⇒ 00:11:53.509 Robert Tseng: At least just to give her some things of, like, we’re considering.
109 00:11:56.150 ⇒ 00:12:08.419 Robert Tseng: Because I tried to, like, explain, oh, it’s, you know, basically how often you pull the report, and that kind of, like, was what I… that was my half-baked answer for last week, so I don’t know if there’s anything more that you… you learned, yeah.
110 00:12:08.420 ⇒ 00:12:19.230 Jasmin Multani: Actually, Ashwini did get started on, the stored data. Some of, like, he and I met last week, and he had pitched a couple KPIs, and I was like, hey, actually, these KPIs.
111 00:12:19.230 ⇒ 00:12:22.509 Robert Tseng: Yeah, I saw that. He just kind of chat GPT’d it or something.
112 00:12:22.690 ⇒ 00:12:35.069 Jasmin Multani: Yeah, and we discussed it, and we were like, okay, let’s stick to whole numbers that can be measured, on their own, and he also said that he’s not getting the kidding info from StoraDB.
113 00:12:35.220 ⇒ 00:12:38.310 Jasmin Multani: So we’re on track for storage.
114 00:12:38.310 ⇒ 00:12:59.209 Robert Tseng: Okay, so we’ve already started the discovery for all these, or sorry, not to try to figure out, I’m just trying to get myself trapped for this call. Yeah, so we already started the discovery for this, we’re basically looking through these… I mean, we started on sort already, we’re looking what data is actually available, and then, you know, for each of these different reports, we’re coming up with what does… we’re coming up with the acceptance criteria for, like, what does good look like for…
115 00:12:59.210 ⇒ 00:13:05.560 Robert Tseng: When we have the… when we have the data, like, ready here? Like, what…
116 00:13:05.910 ⇒ 00:13:08.029 Robert Tseng: Does it have to, like…
117 00:13:08.130 ⇒ 00:13:24.079 Robert Tseng: you know, what are some metrics that need to be, do we have to be able to calculate from our data? So, we’re just, like, picking a few from each one, so… Okay, so, like, that… that discussion is gonna take a couple more days, we just… yeah, and
118 00:13:25.180 ⇒ 00:13:29.830 Robert Tseng: Yeah, I mean, a lot of these I don’t have access to. Have you looked at a lot of these sample files?
119 00:13:30.080 ⇒ 00:13:34.819 Jasmin Multani: I looked at them when Lauren and Julie were sharing screen.
120 00:13:34.820 ⇒ 00:13:37.100 Robert Tseng: Okay, but you haven’t actually clicked into them, yeah.
121 00:13:38.520 ⇒ 00:13:43.440 Robert Tseng: Okay, so, like, for this one, if I were to just, like, kind of pattern here…
122 00:13:43.680 ⇒ 00:13:47.590 Robert Tseng: Obviously, this is gonna be, like, I don’t know.
123 00:13:48.050 ⇒ 00:13:54.509 Robert Tseng: Well, there’s, like, lot numbers, packing set. Critical for release. Okay, I mean, we’d probably maybe…
124 00:13:58.360 ⇒ 00:14:02.060 Robert Tseng: Oh my goodness, it’s actually quite hard to read. Yeah.
125 00:14:02.060 ⇒ 00:14:06.380 Jasmin Multani: that’s why I keep, like, she keeps saying, like, give me a date, give me a date, and I’m like.
126 00:14:06.580 ⇒ 00:14:09.820 Jasmin Multani: This is gonna… this is just production.
127 00:14:10.040 ⇒ 00:14:15.279 Jasmin Multani: like, I haven’t seen Kelton and the alleys, the two alleys, put in their stuff either.
128 00:14:15.630 ⇒ 00:14:16.290 Robert Tseng: Yeah.
129 00:14:18.270 ⇒ 00:14:18.810 Robert Tseng: Okay.
130 00:14:19.420 ⇒ 00:14:30.529 Jasmin Multani: I think that’s also my feedback. It’s like, it’s… we’ve just only gone through one phase, like, the early production phase. That’s the only timeline I feel comfortable.
131 00:14:30.930 ⇒ 00:14:36.310 Jasmin Multani: offering, but, like, we need to do something similar with Kelton and the alleys and the other stages as well.
132 00:14:36.750 ⇒ 00:14:42.230 Robert Tseng: Okay. Alright, well, I only have, like, 10 minutes before the call, so I… yeah, I mean, these, like, kind of,
133 00:14:42.470 ⇒ 00:14:57.169 Robert Tseng: kind of going back to our SOW, and then, like, you know, the timelines that we had set, and then kind of… yeah, I guess, I know you were basically doing the CSO and EP role, or, yeah, or the SO role combined together. Greg is now your CSO again.
134 00:14:57.170 ⇒ 00:14:57.510 Jasmin Multani: Yeah.
135 00:14:57.510 ⇒ 00:15:01.200 Robert Tseng: I’m kind of jumping in here just because, like, you know, Utem and I have to kind of,
136 00:15:01.740 ⇒ 00:15:11.320 Robert Tseng: manage the account. But then, yeah, I guess, like, Greg will probably… I mean, I’m gonna basically press Greg to help you go chase down all these things.
137 00:15:11.320 ⇒ 00:15:11.940 Jasmin Multani: Thank you.
138 00:15:11.940 ⇒ 00:15:14.430 Robert Tseng: So… Yeah, like…
139 00:15:14.660 ⇒ 00:15:25.560 Robert Tseng: I already kind of had him review a couple of these docs just to catch up on where we are in the supply chain side. But yeah, I think Giovanni’s confidence that we’re gonna hit the supply chain target right now is pretty low.
140 00:15:25.650 ⇒ 00:15:42.780 Robert Tseng: we haven’t fully communicated to her that we needed to push the timeline back. I know you’ve been telling me we need to push it back by a month, but we have not been able to make the case for that yet, so I think that case needs to… I mean, frankly, that should have been done last week, but, because now that we’re in Sprint again, she’s gonna be like.
141 00:15:42.850 ⇒ 00:15:52.100 Robert Tseng: more concerned about, like, what we’re sprinting towards, but UTOM and I did meet with her on Sprint Planning last week, and we had already… I mean, I just…
142 00:15:52.390 ⇒ 00:15:58.970 Robert Tseng: We may have to make a couple adjustments this sprint, which is not gonna look too… yeah, it’s just gonna be a little bit…
143 00:16:02.200 ⇒ 00:16:10.020 Robert Tseng: Yeah, okay, so I guess by Wednesday, I’m just gonna tell her I would like to… make any…
144 00:16:10.660 ⇒ 00:16:15.159 Robert Tseng: tweaks. We will have the… we’ll have the timeline set by Wednesday, and…
145 00:16:17.110 ⇒ 00:16:23.390 Robert Tseng: Yeah, like, that would be, like, the one adjustment we need to make in mid-sprint, hopefully.
146 00:16:24.820 ⇒ 00:16:25.310 Jasmin Multani: Yeah, and.
147 00:16:25.310 ⇒ 00:16:29.979 Robert Tseng: I don’t know how she’s gonna respond to that, but, you know, I think that’s… that’s the best I can say for right now.
148 00:16:29.980 ⇒ 00:16:32.960 Jasmin Multani: Yeah, I’m sorry about this, too. Okay.
149 00:16:33.680 ⇒ 00:16:34.960 Jasmin Multani: And then you can just, like.
150 00:16:35.430 ⇒ 00:16:38.480 Jasmin Multani: use my name, to be, like.
151 00:16:39.090 ⇒ 00:16:41.619 Jasmin Multani: Use my name however way you need to.
152 00:16:41.970 ⇒ 00:16:52.700 Jasmin Multani: But… what’s it called? The… we can tell her that the modeling on Wednesday, the timeline modeling on Wednesday, is gonna mirror
153 00:16:52.820 ⇒ 00:16:57.099 Jasmin Multani: Best for production… this, like, production, phase.
154 00:16:57.340 ⇒ 00:17:08.529 Jasmin Multani: And then it’s gonna be an estimate for these other, parts of the supply chain, because we haven’t done, like, the same robust discovery calls with Kelton and…
155 00:17:09.200 ⇒ 00:17:16.650 Jasmin Multani: Dan, down the line, of how they use data. So right now, I’d say, like, yeah, let’s keep it… let’s, like…
156 00:17:16.900 ⇒ 00:17:22.310 Jasmin Multani: Discuss how, like, the real next phase is understanding, measuring,
157 00:17:22.579 ⇒ 00:17:29.890 Jasmin Multani: like, discrete numbers, and then once we get to Dan, then Dan is gonna teach us how to, like,
158 00:17:30.710 ⇒ 00:17:35.000 Jasmin Multani: Use these whole numbers to calculate and make these projections.
159 00:17:39.430 ⇒ 00:17:42.470 Robert Tseng: Okay, I don’t think she’s too concerned about the Dan part, so…
160 00:17:42.470 ⇒ 00:17:42.910 Jasmin Multani: Okay.
161 00:17:42.920 ⇒ 00:17:45.010 Robert Tseng: Yeah, I think…
162 00:17:45.380 ⇒ 00:17:51.969 Robert Tseng: Yeah, I mean, this is helpful. Yeah, we should… I mean, thanks for jumping in, but we have… we’re just, like, kind of…
163 00:17:52.240 ⇒ 00:18:07.920 Robert Tseng: Shivani wants to chat in 10 minutes, just because she’s kind of not… she’s not feeling great about, kind of, our progress on the supply chain side. We’ve just not been able to give her enough visibility. So, I just needed to kind of catch up on the data sources docs, and kind of…
164 00:18:08.350 ⇒ 00:18:11.639 Robert Tseng: Here, like, where we left off, is basically it.
165 00:18:13.390 ⇒ 00:18:14.130 Robert Tseng: Yeah.
166 00:18:14.370 ⇒ 00:18:14.769 Jasmin Multani: Can we at least.
167 00:18:14.770 ⇒ 00:18:15.090 Robert Tseng: Okay.
168 00:18:15.090 ⇒ 00:18:22.660 Jasmin Multani: that, like, the SKU can be done… we can… we can model that out by, like, end of week, the SKU…
169 00:18:23.600 ⇒ 00:18:28.249 Jasmin Multani: retail report. The other ones, I just… I’ve never even…
170 00:18:28.690 ⇒ 00:18:29.460 Awaish Kumar: So, what…
171 00:18:29.460 ⇒ 00:18:29.839 Jasmin Multani: Oh my god.
172 00:18:29.840 ⇒ 00:18:34.269 Awaish Kumar: Why it is in data sources, school retail report? Is it a source data sheet?
173 00:18:36.160 ⇒ 00:18:49.579 Robert Tseng: That’s what, kind of, I was asking as well, like, what are we saying is SKU? Jasmine’s saying it’s a SKU retail report. I don’t exactly know what that means. I mean, I know she shares something with us, like, in the channel, but is that what you’re referring to?
174 00:18:51.620 ⇒ 00:18:58.700 Jasmin Multani: that’s… those numbers exist, like, those SKU numbers exist throughout… Actually, no.
175 00:18:59.170 ⇒ 00:19:00.750 Jasmin Multani: I don’t… I…
176 00:19:01.620 ⇒ 00:19:08.230 Jasmin Multani: I think we should base the SKU retail report based off of, like, what we have in our data sources today.
177 00:19:08.970 ⇒ 00:19:11.220 Jasmin Multani: So I think you get item ID, right?
178 00:19:11.450 ⇒ 00:19:16.310 Awaish Kumar: So it’s not a data source, then? We can just… Delete it from here.
179 00:19:18.700 ⇒ 00:19:19.470 Robert Tseng: Okay.
180 00:19:23.710 ⇒ 00:19:25.500 Jasmin Multani: I don’t know how these.
181 00:19:31.390 ⇒ 00:19:44.030 Robert Tseng: Yeah, so this is gonna be the other part where she’s gonna be like, oh, we didn’t update this, so I’m gonna basically say we didn’t get to this. Like, this is… this is kind of what you’re just… I guess, okay,
182 00:19:44.410 ⇒ 00:19:58.530 Robert Tseng: Yeah, I think what would have been more helpful, Away, since you’ve gone through this, like, domain by domain already before Jasmine jumped in, supply chain is the first one that she’s really running, so… I think we just needed to align better on this process, where
183 00:19:58.700 ⇒ 00:20:06.910 Robert Tseng: Yeah, by business domain, we’re mapping out all the data sources that we’re bringing in, we’re putting a timeline to it, putting some prioritization.
184 00:20:06.920 ⇒ 00:20:25.939 Robert Tseng: And then the metrics that we’re calculating, these are all of the things that we need to be able to calculate from the data by the completion time, or not just the ingestion time, but just, like, by… by the point of the deliverable, of whatever the deadline is for the… obviously, we’re not going to catch everything in one go, but we need to give her some sequencing of, like.
185 00:20:25.940 ⇒ 00:20:33.570 Robert Tseng: Of the data that we have, and the discovery that we’ve done on all supply chain resources that have been specified here, we are able to calculate
186 00:20:33.670 ⇒ 00:20:52.449 Robert Tseng: XYZ metrics. Jasmine’s now saying, okay, well, there’s all this other stuff that we’ve seen from particular owners. Seems like there’s a lot more manual reports, or just, like, Google workbooks, where they have this data there. So I think we just kind of got stuck on, like, not being able to
187 00:20:53.480 ⇒ 00:21:11.850 Robert Tseng: triangulate what was being shown to us from the client with what we actually have in the data sources, and so we never decided on what the metrics were. So, I think we’re a week behind on this point, at this point, as for this. I think that’s basically what I want to tell her, and yeah, I think this is basically… we need to catch up on this this week.
188 00:21:13.140 ⇒ 00:21:13.700 Robert Tseng: Yeah.
189 00:21:15.450 ⇒ 00:21:18.460 Jasmin Multani: So, deliverable this week will be, like, filling out…
190 00:21:18.650 ⇒ 00:21:23.680 Jasmin Multani: These formulas, accurately filling out the data sources, and giving a…
191 00:21:27.000 ⇒ 00:21:40.230 Robert Tseng: Yeah, so, like, this doesn’t have to be comprehensive everything, it’s just based on what we understand about the data and the requirements that we’ve gotten from, like, the stakeholders, this is, like, the set of metrics that we can best, like, say we can calculate.
192 00:21:40.300 ⇒ 00:21:48.220 Robert Tseng: And then Shivani looks at this, she approves it, and then, you know, it’s like, okay, that’s what good looks like by the end of this, like, by the end of the deliverable.
193 00:21:48.590 ⇒ 00:22:06.210 Robert Tseng: So, yeah, I think even where for the other platforms, sure, some of these were easier, like Shopify and Target’s pretty standard, but… so supply chain is… is frankly harder, it’s just not as, like, straightforward. But, yeah, I think that’s… that’s kind of how… how she wanted to see it before.
194 00:22:07.670 ⇒ 00:22:08.350 Jasmin Multani: Okay.
195 00:22:09.180 ⇒ 00:22:16.010 Robert Tseng: Okay, and then beyond that, yeah, I guess… B…
196 00:22:20.010 ⇒ 00:22:22.160 Robert Tseng: I don’t think the milestone track…
197 00:22:22.290 ⇒ 00:22:32.050 Robert Tseng: Yeah, I got absolutely no handoff from Garrett, so I’m a little bit not sure, like, where… where the best tracker is for milestone, for linear versus Google Sheet.
198 00:22:32.600 ⇒ 00:22:36.170 Robert Tseng: I will have to figure that out. So, I… I can…
199 00:22:36.670 ⇒ 00:22:39.590 Robert Tseng: I guess, do you guys know? Like, is this, is it still…
200 00:22:39.590 ⇒ 00:22:49.880 Jasmin Multani: Oh, I mean, this is still… it’s still good, at a high level. We are done with retail. Retail should be,
201 00:22:50.980 ⇒ 00:22:56.590 Jasmin Multani: Hold on, let’s see… Retail should be Shivani approved.
202 00:22:57.410 ⇒ 00:23:00.570 Jasmin Multani: for… Line 8.
203 00:23:03.310 ⇒ 00:23:03.890 Robert Tseng: Okay.
204 00:23:05.720 ⇒ 00:23:06.640 Robert Tseng: Right.
205 00:23:07.890 ⇒ 00:23:13.350 Jasmin Multani: And we’re… we’re finishing out the QA this week. Or I’m sitting… I…
206 00:23:13.950 ⇒ 00:23:17.479 Jasmin Multani: Avid should have finished it out last week, I’m reviewing…
207 00:23:17.480 ⇒ 00:23:20.180 Robert Tseng: dashboards should be on work as well, right?
208 00:23:22.170 ⇒ 00:23:22.700 Jasmin Multani: I’m so excited.
209 00:23:22.700 ⇒ 00:23:25.250 Robert Tseng: spec build, like, I think we’re already starting on this.
210 00:23:25.540 ⇒ 00:23:30.270 Jasmin Multani: Because, I still have to QA some of the Amazon stuff, right?
211 00:23:30.270 ⇒ 00:23:30.910 Robert Tseng: Okay.
212 00:23:32.260 ⇒ 00:23:33.710 Robert Tseng: So…
213 00:23:37.010 ⇒ 00:23:40.200 Robert Tseng: We already got some of this.
214 00:23:40.470 ⇒ 00:23:44.770 Robert Tseng: I don’t know what omnichannel is referring to, honestly, so…
215 00:23:47.310 ⇒ 00:23:49.040 Jasmin Multani: Sampling, I feel like we haven’t…
216 00:23:50.610 ⇒ 00:23:58.079 Jasmin Multani: done a deep dive in. I feel like Dan is gonna give us… like, Dan is the main person who knows this information.
217 00:23:58.290 ⇒ 00:24:03.659 Robert Tseng: Is that not what she said here, though, that she did some, like, sampling thing here?
218 00:24:04.510 ⇒ 00:24:07.889 Jasmin Multani: That was just… we did one call with Dan, though.
219 00:24:07.890 ⇒ 00:24:08.650 Robert Tseng: Got it.
220 00:24:08.650 ⇒ 00:24:15.610 Jasmin Multani: We didn’t, like, double-click into his actual spreadsheets and, like, what he actually… how he uses them.
221 00:24:17.890 ⇒ 00:24:18.630 Robert Tseng: Yeah.
222 00:24:19.340 ⇒ 00:24:27.310 Robert Tseng: So yeah, this was the specs, so we didn’t actually build this out yet, but, like…
223 00:24:28.040 ⇒ 00:24:31.299 Robert Tseng: Yeah, this is what it will look like once we are…
224 00:24:31.770 ⇒ 00:24:38.300 Robert Tseng: Once we’ve moved on past spec build, for supply chain. Omnichannel, what is omnichannel?
225 00:24:39.860 ⇒ 00:24:42.360 Awaish Kumar: Omnichannel is combining all these,
226 00:24:42.490 ⇒ 00:24:45.889 Awaish Kumar: Revenue-generating sources, like wholesale, retail, and…
227 00:24:46.110 ⇒ 00:24:53.310 Awaish Kumar: And e-commerce, and he will give a final view, one view of full element revenue.
228 00:24:53.900 ⇒ 00:24:54.870 Robert Tseng: Okay, thank you.
229 00:24:57.000 ⇒ 00:25:00.630 Robert Tseng: Okay, so… that’s… that.
230 00:25:02.500 ⇒ 00:25:11.000 Robert Tseng: Okay, yeah, just a lot of PM stuff this week. Okay, I think I do have to jump to that call, so I think this is all I have time for.
231 00:25:11.340 ⇒ 00:25:14.669 Robert Tseng: Thanks. Yeah, I guess…
232 00:25:15.000 ⇒ 00:25:23.169 Robert Tseng: I didn’t really get to the point of dishing out assignments here, but I’m just trying to play defense right now, so I guess I’m just gonna go to that call and see, see what I can do.
233 00:25:23.170 ⇒ 00:25:26.740 Jasmin Multani: Okay, okay. I’m happy to sync up before the end of the day, too.
234 00:25:27.040 ⇒ 00:25:28.829 Robert Tseng: Okay, cool. Thanks.
235 00:25:28.830 ⇒ 00:25:29.729 Jasmin Multani: Alright, thank you.
236 00:25:29.730 ⇒ 00:25:30.280 Robert Tseng: mile.