Meeting Title: Default Project Check-in Date: 2026-05-05 Meeting participants: Advait Nandakumar Menon, Jasmin Multani
WEBVTT
1 00:02:24.860 ⇒ 00:02:25.960 Jasmin Multani: Yeah, dude.
2 00:02:27.410 ⇒ 00:02:28.860 Advait Nandakumar Menon: Hey, how’s it going?
3 00:02:29.090 ⇒ 00:02:30.490 Jasmin Multani: It’s going.
4 00:02:32.970 ⇒ 00:02:34.859 Jasmin Multani: How was your weekend?
5 00:02:35.700 ⇒ 00:02:37.550 Advait Nandakumar Menon: That’s fine. That’s okay.
6 00:02:41.920 ⇒ 00:02:42.990 Advait Nandakumar Menon: Oh, what else?
7 00:02:43.960 ⇒ 00:02:50.450 Jasmin Multani: My grandmas are both at my parents’ house today, so…
8 00:02:50.590 ⇒ 00:02:53.729 Jasmin Multani: I was like, okay, I’ll just visit, but…
9 00:02:54.080 ⇒ 00:03:00.059 Jasmin Multani: they keep getting pissed off that I’m working. I’m like, I… Have to do this.
10 00:03:00.820 ⇒ 00:03:02.070 Advait Nandakumar Menon: Yeah, yeah.
11 00:03:03.080 ⇒ 00:03:04.160 Jasmin Multani: Huh.
12 00:03:04.570 ⇒ 00:03:05.250 Jasmin Multani: Okay.
13 00:03:05.720 ⇒ 00:03:12.789 Jasmin Multani: I need to go through your visuals real quick, but, maybe we can save that for the end of the call.
14 00:03:13.330 ⇒ 00:03:19.670 Jasmin Multani: Is there anything else you want to talk about, or anything you want to present to me today?
15 00:03:20.270 ⇒ 00:03:27.060 Advait Nandakumar Menon: Nope, just, the sub-tickets and what was under 364, the wholesale executor.
16 00:03:27.260 ⇒ 00:03:33.220 Advait Nandakumar Menon: pulse check dashboard. Yeah, that’s the only thing I wanted to check with you, and…
17 00:03:33.330 ⇒ 00:03:42.600 Advait Nandakumar Menon: what to take up next with respect to 365, and I think e-commerce and a bunch of other stuff that Greg sent out to Shivani in that…
18 00:03:43.200 ⇒ 00:03:46.349 Advait Nandakumar Menon: channel, so I think I replied to that just now.
19 00:03:46.730 ⇒ 00:03:49.250 Jasmin Multani: Yeah, just, just get 365 done.
20 00:03:49.400 ⇒ 00:03:55.960 Jasmin Multani: So it’s out of the backlog, and don’t take more than an hour to get through it. It’s just drag and dropping.
21 00:03:56.470 ⇒ 00:03:56.920 Advait Nandakumar Menon: Yep.
22 00:03:57.000 ⇒ 00:04:02.440 Jasmin Multani: Just tell me what you… how far you get in an hour, and then we can say, like, okay, in the last
23 00:04:02.860 ⇒ 00:04:05.509 Jasmin Multani: 15… in the next 15 minutes, what should we do?
24 00:04:05.670 ⇒ 00:04:07.100 Jasmin Multani: Just to, like, wrap it up.
25 00:04:07.620 ⇒ 00:04:11.989 Jasmin Multani: Because I don’t think she’s even looking that far. I think she was surprised we even did.
26 00:04:12.360 ⇒ 00:04:15.760 Jasmin Multani: and order patterns. I don’t think she’s thinking that far, but…
27 00:04:16.279 ⇒ 00:04:17.130 Advait Nandakumar Menon: Sure.
28 00:04:17.470 ⇒ 00:04:23.529 Jasmin Multani: Okay, so there’s that, and then get started on, whatever Grant sent.
29 00:04:24.290 ⇒ 00:04:25.040 Jasmin Multani: I also want to…
30 00:04:26.000 ⇒ 00:04:26.700 Jasmin Multani: Go on.
31 00:04:27.170 ⇒ 00:04:34.099 Advait Nandakumar Menon: Yeah, for… sorry about that. For the stuff that gets sent, I don’t think I have context for the tickets.
32 00:04:34.690 ⇒ 00:04:36.800 Advait Nandakumar Menon: Certainly, I’m just.
33 00:04:38.710 ⇒ 00:04:39.689 Jasmin Multani: We’re all over.
34 00:04:39.690 ⇒ 00:04:40.930 Advait Nandakumar Menon: So, No.
35 00:04:40.930 ⇒ 00:04:51.320 Jasmin Multani: I’ll beef up the context, it’s mainly… Some of it is, like, Our e-commerce stuff isn’t… flowing through.
36 00:04:53.350 ⇒ 00:04:56.010 Jasmin Multani: And we even looked at, in the back end.
37 00:04:57.250 ⇒ 00:05:00.400 Jasmin Multani: of the types of questions she was asking Blobby.
38 00:05:00.590 ⇒ 00:05:06.800 Jasmin Multani: And she did a follow-up, and even Blobby admitted, yeah, this is an e-commerce data table, like…
39 00:05:07.050 ⇒ 00:05:08.629 Jasmin Multani: It’s not up to date.
40 00:05:09.450 ⇒ 00:05:14.769 Jasmin Multani: So, that’s why I’m, like, focused on the dashboard completion, and then,
41 00:05:14.910 ⇒ 00:05:18.010 Jasmin Multani: I can scope out what else needs to be done in that slack.
42 00:05:18.260 ⇒ 00:05:22.069 Jasmin Multani: And see, like, how much of this can be actually…
43 00:05:22.860 ⇒ 00:05:26.319 Jasmin Multani: covered in our blobby QA sprint.
44 00:05:26.320 ⇒ 00:05:26.900 Advait Nandakumar Menon: Right.
45 00:05:27.320 ⇒ 00:05:33.450 Jasmin Multani: Yeah, we need a… now that, like, retail and wholesale are, like, basically done, we have to have a robust…
46 00:05:33.960 ⇒ 00:05:36.130 Jasmin Multani: Sprint on checking Blobby.
47 00:05:36.790 ⇒ 00:05:44.120 Jasmin Multani: So… I’ll re-scope that ticket. Yeah.
48 00:05:44.510 ⇒ 00:05:45.690 Jasmin Multani: And then…
49 00:05:46.020 ⇒ 00:05:50.929 Jasmin Multani: I also, if you have nothing else to add, like, I also eventually wanted to ask about…
50 00:05:51.200 ⇒ 00:05:57.800 Jasmin Multani: Your bandwidth with, like, which other clients you’re working on, and the types of asks that you’re receiving.
51 00:05:58.420 ⇒ 00:06:14.640 Advait Nandakumar Menon: Yeah, I wanted to check with you as well, because I think default will wrap up next week, and I was looking to take on something else as well with respect to work. Default right now, what we’re doing is, just to give you a high-level overview.
52 00:06:14.900 ⇒ 00:06:32.369 Advait Nandakumar Menon: We are keeping the existing dashboards and topics as it is without implementing any of the new feedback or the QA feedback they’ve given us, because what they requested from us is having a data model where none of the aggregation or any logic has been applied at the dbt level.
53 00:06:32.370 ⇒ 00:06:41.870 Advait Nandakumar Menon: They want it within Omni as just raw fact and dimension tables, and they want to play around with it, create joints, whatever, dashboards, or whatever, which…
54 00:06:41.870 ⇒ 00:06:53.330 Advait Nandakumar Menon: Which, at this point, is unrealistic, given we just… we have the May 15 deadline to just change the whole data model that is in place right now, and then rework the dashboards as well.
55 00:06:53.330 ⇒ 00:07:02.789 Advait Nandakumar Menon: So, Avayesh and Demi are basically delivering a new data model with just the fact and dimension tables. I’ll be working on the Omni side of setting up the topics for that.
56 00:07:02.880 ⇒ 00:07:10.380 Advait Nandakumar Menon: And I’ll be working on, creating a documentation for Omni, so that’s pretty much my work left on default.
57 00:07:11.690 ⇒ 00:07:16.019 Jasmin Multani: Okay, okay. I think, I was asked to also do a data documentation.
58 00:07:16.300 ⇒ 00:07:27.930 Jasmin Multani: Yeah. For default, so I want to see how much of our stuff overlaps, and how much we can playbook it out. Is default the only other thing you’re working on?
59 00:07:28.390 ⇒ 00:07:29.949 Advait Nandakumar Menon: Yep, default and element.
60 00:07:30.150 ⇒ 00:07:33.739 Jasmin Multani: Okay. Did Greg mention that we’re gonna renew that contract?
61 00:07:35.120 ⇒ 00:07:36.189 Advait Nandakumar Menon: with default?
62 00:07:36.690 ⇒ 00:07:38.999 Jasmin Multani: Or, like, what’s gonna happen after May 15th?
63 00:07:39.000 ⇒ 00:07:45.940 Advait Nandakumar Menon: Oh, I don’t have much context. I think they’re ending the contract as last I…
64 00:07:46.380 ⇒ 00:07:57.149 Advait Nandakumar Menon: Because that’s the reason they keep saying they want the data model in a certain state, so that they can just take it from there and do their own thing.
65 00:08:03.800 ⇒ 00:08:10.060 Jasmin Multani: Yeah, I’m sure there’s gonna be stuff for you to lean in for queuing, especially for the supply chain stuff.
66 00:08:10.210 ⇒ 00:08:19.389 Jasmin Multani: So, in the midst of creating that roadmap out, and that’s gonna be a very hairy, very, very hairy process, so,
67 00:08:19.690 ⇒ 00:08:21.620 Jasmin Multani: I’m just trying to figure out, like.
68 00:08:22.370 ⇒ 00:08:29.029 Jasmin Multani: What level of granularity, we can promise them, and what’ll be, like, usable for them.
69 00:08:29.520 ⇒ 00:08:31.420 Jasmin Multani: To lean on.
70 00:08:32.870 ⇒ 00:08:40.979 Jasmin Multani: So, don’t worry, like, there’s always gonna be work, but it’s just a matter… it’ll… you’ll likely stay on Element.
71 00:08:41.630 ⇒ 00:08:47.819 Jasmin Multani: With Eden… I have to do one thing about, like.
72 00:08:47.950 ⇒ 00:08:52.279 Jasmin Multani: unifying a table, maybe you’ll do eat-in? Maybe… Okay.
73 00:08:52.700 ⇒ 00:08:57.799 Jasmin Multani: We’ll, we’ll see. We’ll see how that goes. Based off of, like.
74 00:08:58.770 ⇒ 00:09:00.890 Jasmin Multani: How pissed off the clients are?
75 00:09:01.670 ⇒ 00:09:10.910 Jasmin Multani: And, yeah, but those are two on my pipeline, and then… Sounds good.
76 00:09:14.160 ⇒ 00:09:15.200 Jasmin Multani: He didn’t know.
77 00:09:45.700 ⇒ 00:09:49.770 Jasmin Multani: Some people I would push those questions to him.
78 00:09:50.080 ⇒ 00:09:51.899 Jasmin Multani: I’ll see what his response is.
79 00:09:53.850 ⇒ 00:10:01.900 Jasmin Multani: Okay, cool. So that, I’m glad that you gave me May 15th deadline. Day over day, like, how many hours are you spending on default?
80 00:10:02.070 ⇒ 00:10:03.490 Jasmin Multani: Including meetings.
81 00:10:04.450 ⇒ 00:10:10.929 Advait Nandakumar Menon: I’m trying to split, like, between element and default, I’m trying to split it half, so…
82 00:10:11.080 ⇒ 00:10:13.449 Advait Nandakumar Menon: I would say 4-4, and…
83 00:10:13.890 ⇒ 00:10:20.989 Advait Nandakumar Menon: couple of figuring out stuff, or, like, internal learning, or whatever might be an Ava, so, yeah, yeah.
84 00:10:21.810 ⇒ 00:10:32.100 Jasmin Multani: Okay, so that’ll tell me what our real SLA time will be. So I think until default is, like, close to finish, we’ll just have you do, like, one dashboard at a time.
85 00:10:32.380 ⇒ 00:10:36.460 Jasmin Multani: Okay. Rather than, like, catch you a bunch of tickets.
86 00:10:37.220 ⇒ 00:10:38.889 Jasmin Multani: And scope it out from there.
87 00:10:39.280 ⇒ 00:10:49.180 Jasmin Multani: I think the main… I need to just make sure that our May 22nd timeline is gonna hit.
88 00:10:50.940 ⇒ 00:10:52.150 Jasmin Multani: And verify, like.
89 00:10:52.530 ⇒ 00:10:59.279 Jasmin Multani: Of all the things that we… of the things that we’ve created, is that for sure all the things that Shivani wants?
90 00:10:59.680 ⇒ 00:11:03.810 Jasmin Multani: Alright. Cause, I know Greg mentioned…
91 00:11:04.380 ⇒ 00:11:06.919 Jasmin Multani: He wrote out 7 different dashboards.
92 00:11:07.460 ⇒ 00:11:10.240 Jasmin Multani: For the full retail experience.
93 00:11:10.550 ⇒ 00:11:14.889 Jasmin Multani: However… I know that Shivani did not look at those.
94 00:11:15.340 ⇒ 00:11:16.480 Jasmin Multani: Specs.
95 00:11:16.710 ⇒ 00:11:18.519 Jasmin Multani: To sign off, and she just…
96 00:11:19.030 ⇒ 00:11:24.140 Jasmin Multani: she… she doesn’t want… I don’t think she even thinks she needs to.
97 00:11:25.540 ⇒ 00:11:30.270 Jasmin Multani: Like, I just don’t think she’s ever gonna get to it, so I think we have to drive that conversation of, like.
98 00:11:30.650 ⇒ 00:11:40.179 Jasmin Multani: Of these, how much have we delivered? Why aren’t we delivering? And having a reason as to why we’re not delivering the rest. And, given it’s…
99 00:11:40.310 ⇒ 00:11:47.870 Jasmin Multani: May 5th. Should we sneak in one or two more dashboards? What could that look like before May 22nd?
100 00:11:49.450 ⇒ 00:12:03.089 Advait Nandakumar Menon: So… that is doable, but it again depends on what kind of dashboard we’re looking at, what topic we are going to set up, and once that topic is set up, I know we have the QA for Blobby as a separate thing, but…
101 00:12:03.300 ⇒ 00:12:04.140 Advait Nandakumar Menon: Oh.
102 00:12:04.260 ⇒ 00:12:05.410 Advait Nandakumar Menon: Yeah, that’s…
103 00:12:05.690 ⇒ 00:12:06.279 Jasmin Multani: Yeah, I know.
104 00:12:06.280 ⇒ 00:12:07.740 Advait Nandakumar Menon: Another thing to think about.
105 00:12:08.290 ⇒ 00:12:15.889 Jasmin Multani: And on top of that, I’m noticing some data discrepancies in the data tables that are gonna impact supply chain.
106 00:12:16.130 ⇒ 00:12:19.520 Jasmin Multani: So I’d rather, like, Close out what we have.
107 00:12:19.870 ⇒ 00:12:28.300 Jasmin Multani: And I feel like our wholesale and our retail questions… Are Bing…
108 00:12:28.510 ⇒ 00:12:35.879 Jasmin Multani: accounted for. The only thing that we can’t account for is, like, Promo spend, trade spend.
109 00:12:36.270 ⇒ 00:12:39.770 Jasmin Multani: spend per retailer, because I feel like those are more e-commerce.
110 00:12:41.180 ⇒ 00:12:42.170 Jasmin Multani: But.
111 00:12:42.840 ⇒ 00:12:48.710 Jasmin Multani: That’s the only thing, like, are we… are we tracking spend? How does she want to define spend?
112 00:12:48.900 ⇒ 00:12:55.969 Jasmin Multani: I think I… that’s the only thing I anticipate that we would need to add to retail.
113 00:12:56.360 ⇒ 00:12:56.960 Advait Nandakumar Menon: Okay.
114 00:12:56.960 ⇒ 00:13:02.339 Jasmin Multani: But, I’m hoping… Instead of creating a net new dashboard, can we just, like…
115 00:13:02.620 ⇒ 00:13:04.110 Jasmin Multani: Add it as a tile.
116 00:13:04.610 ⇒ 00:13:06.410 Jasmin Multani: In the existing dashboards.
117 00:13:06.410 ⇒ 00:13:11.019 Advait Nandakumar Menon: Yeah, that’s doable, like, even if it’s not the same topic, it should be fine.
118 00:13:11.470 ⇒ 00:13:13.979 Jasmin Multani: And I’m just reading over this.
119 00:13:14.150 ⇒ 00:13:16.330 Jasmin Multani: It’s like, for retail.
120 00:13:16.740 ⇒ 00:13:23.419 Jasmin Multani: that we’ve slated for May. It’s just, how much product is each retailer purchasing, and how frequently?
121 00:13:23.540 ⇒ 00:13:26.679 Jasmin Multani: I think that’s in the product… the skew velocity.
122 00:13:26.890 ⇒ 00:13:37.720 Jasmin Multani: What is the order cadence for each retailer? I think… That’s, it’s all… I wouldn’t say order cadence.
123 00:13:40.430 ⇒ 00:13:42.129 Jasmin Multani: I think there was a funnel.
124 00:13:42.950 ⇒ 00:13:44.750 Jasmin Multani: That we did for retail.
125 00:13:46.230 ⇒ 00:13:47.950 Jasmin Multani: Or was that for wholesale?
126 00:13:48.280 ⇒ 00:13:50.639 Advait Nandakumar Menon: No, that’s wholesale.
127 00:13:50.640 ⇒ 00:13:55.109 Jasmin Multani: Let me double-check if the order cadence is, like, closed out.
128 00:13:55.570 ⇒ 00:13:58.580 Jasmin Multani: And then, are retailers stocking out?
129 00:14:00.210 ⇒ 00:14:05.360 Jasmin Multani: at the individual store level. I think we have that. I think there’s something…
130 00:14:06.080 ⇒ 00:14:08.880 Jasmin Multani: I just need to ask her what she means by stock out.
131 00:14:10.640 ⇒ 00:14:16.719 Jasmin Multani: So I feel like just closing the loops on the… these two questions, it’s just a matter of, like.
132 00:14:16.830 ⇒ 00:14:22.449 Jasmin Multani: aligning and defining. I don’t think you’re gonna have to create a net new dashboard, it’s just gonna be, like.
133 00:14:22.450 ⇒ 00:14:23.140 Advait Nandakumar Menon: Okay.
134 00:14:24.510 ⇒ 00:14:26.550 Jasmin Multani: The way you cut a chart.
135 00:14:26.730 ⇒ 00:14:27.520 Advait Nandakumar Menon: Yep.
136 00:14:27.520 ⇒ 00:14:32.250 Jasmin Multani: And then the last question was, what is POS velocity by SKU and retailer?
137 00:14:33.010 ⇒ 00:14:34.580 Jasmin Multani: And I feel like you have that.
138 00:14:34.870 ⇒ 00:14:38.890 Jasmin Multani: But I will say, like, in our…
139 00:14:40.260 ⇒ 00:14:42.980 Jasmin Multani: One of our data tables,
140 00:14:44.730 ⇒ 00:14:53.450 Jasmin Multani: in one of our data tables, I’m seeing the same UPC be mapped to, like, black cherry single can, and then…
141 00:14:53.750 ⇒ 00:15:02.200 Jasmin Multani: that same UPC is also being mapped to watermelon, 16-ounce 6-pack or something.
142 00:15:03.120 ⇒ 00:15:04.770 Advait Nandakumar Menon: UTSA for two different SKUs?
143 00:15:04.770 ⇒ 00:15:13.920 Jasmin Multani: Yeah, yeah. So that makes me worried, and I’m… was able to send that information over. I’m gonna discuss that…
144 00:15:14.260 ⇒ 00:15:19.560 Jasmin Multani: Today… Do you have time today? Do you want to be part of that conversation?
145 00:15:19.560 ⇒ 00:15:20.909 Advait Nandakumar Menon: Sure, yeah.
146 00:15:22.080 ⇒ 00:15:25.759 Jasmin Multani: Yeah, I’ll list you as optional.
147 00:15:25.990 ⇒ 00:15:29.710 Jasmin Multani: Just so you can be a fly on the wall.
148 00:15:29.820 ⇒ 00:15:31.230 Jasmin Multani: But… Yep.
149 00:15:32.360 ⇒ 00:15:37.439 Jasmin Multani: Yeah, I hope she’s not pissed if I add you. I’m gonna list you as optional. Oop!
150 00:15:38.940 ⇒ 00:15:42.700 Jasmin Multani: So at least that way you can review the nodes if need be.
151 00:15:46.920 ⇒ 00:15:57.999 Jasmin Multani: There. But just, like, be a fly on the wall and be like… because I’m gonna just tell them, like, hey, this is the data discrepancy, this is where it’s coming from, this is where I need Dan to give… to, like, validate, like.
152 00:15:58.610 ⇒ 00:16:08.459 Jasmin Multani: you know, per industry standard, UPC is only supposed to be the same digital number across things, and even in the list that they gave me.
153 00:16:08.690 ⇒ 00:16:13.349 Jasmin Multani: there were… letters in some of their UPCs, so I’m like.
154 00:16:13.880 ⇒ 00:16:20.830 Jasmin Multani: what is this? Okay. And, how are you guys interpreting UPCs and SKUs internally?
155 00:16:20.940 ⇒ 00:16:25.230 Jasmin Multani: So, reflect that.
156 00:16:25.590 ⇒ 00:16:30.130 Jasmin Multani: And I know that, like, our data’s being cut by, like.
157 00:16:30.320 ⇒ 00:16:34.810 Jasmin Multani: skews itself, but eventually, like, I’m pushing us to…
158 00:16:35.010 ⇒ 00:16:38.979 Jasmin Multani: map things out in UPC to UPC,
159 00:16:39.510 ⇒ 00:16:45.249 Jasmin Multani: Because the same item ID, or item name, is gonna have a different lot number.
160 00:16:45.590 ⇒ 00:16:57.259 Jasmin Multani: at a different point. So, like, there’s a point where SKU gets introduced into the life journey, but before that gets introduced, there’s a different, labeling that happens. And I feel like UPC is, like, the…
161 00:16:57.960 ⇒ 00:16:59.500 Jasmin Multani: One thing, like.
162 00:17:00.190 ⇒ 00:17:06.290 Jasmin Multani: you can’t be any more discrete than a number, whereas I feel like item names often get changed,
163 00:17:07.440 ⇒ 00:17:08.770 Jasmin Multani: So, that’s what I’m doing.
164 00:17:08.770 ⇒ 00:17:12.729 Advait Nandakumar Menon: But how will… how will that look on a dashboard, like…
165 00:17:14.150 ⇒ 00:17:19.069 Advait Nandakumar Menon: In the sense, like, it’ll be just numbers, right? UPC or… Blood.
166 00:17:19.710 ⇒ 00:17:28.699 Jasmin Multani: In the numbers, it… you… we would add the item name, but the idea is that the item name…
167 00:17:29.920 ⇒ 00:17:30.290 Advait Nandakumar Menon: Hold on.
168 00:17:30.290 ⇒ 00:17:36.949 Jasmin Multani: is supposed to be similar, right? So, UPC… there’s the same UPC that’s happening for Walmart and Target.
169 00:17:37.100 ⇒ 00:17:39.330 Jasmin Multani: They’re gonna have different SKU numbers.
170 00:17:40.110 ⇒ 00:17:50.580 Advait Nandakumar Menon: So they have to set the UPC and the item name, or whatever that’s going to be attached to the UPC at the company level before it’s sent out to Walmart, or…
171 00:17:50.970 ⇒ 00:17:52.320 Jasmin Multani: Ideally, because it’s.
172 00:17:52.320 ⇒ 00:17:53.329 Advait Nandakumar Menon: Ideally, yeah, okay.
173 00:17:53.330 ⇒ 00:17:56.870 Jasmin Multani: literally, like, printed on the package. Like, that can’t be…
174 00:17:57.160 ⇒ 00:17:59.729 Jasmin Multani: I’m like, that is our source of truth, and I feel like.
175 00:17:59.730 ⇒ 00:18:00.049 Advait Nandakumar Menon: It doesn’t.
176 00:18:00.050 ⇒ 00:18:00.620 Jasmin Multani: more reasonable.
177 00:18:00.620 ⇒ 00:18:01.330 Advait Nandakumar Menon: That makes sense.
178 00:18:01.330 ⇒ 00:18:03.730 Jasmin Multani: skew. Like, you can’t erase that.
179 00:18:04.860 ⇒ 00:18:05.510 Advait Nandakumar Menon: Yep.
180 00:18:05.510 ⇒ 00:18:13.719 Jasmin Multani: And if there are changes, it’s like, okay, let’s time truncate it, and figure out if this is expected.
181 00:18:13.940 ⇒ 00:18:18.150 Jasmin Multani: But right now, I just wanna… want her to focus on, like.
182 00:18:18.390 ⇒ 00:18:28.099 Jasmin Multani: data integrity, data accuracy. I feel like if I tell her of all these, like, case scenarios that it’ll disrupt, like, she’s just gonna get confused.
183 00:18:28.310 ⇒ 00:18:30.730 Jasmin Multani: So, I’m basing this off of, like.
184 00:18:31.340 ⇒ 00:18:37.690 Jasmin Multani: We need a true identity. SKUs are not a reliable identity, because SKUs vary based off of
185 00:18:39.220 ⇒ 00:18:43.820 Jasmin Multani: Whether it’s retail, like, depending on the type of retail.
186 00:18:43.960 ⇒ 00:18:50.160 Jasmin Multani: And I’m already seeing different names going back to the UPC, and it’s like, the UPC is supposed to be…
187 00:18:50.720 ⇒ 00:18:51.890 Jasmin Multani: The source of truth.
188 00:18:52.860 ⇒ 00:19:00.709 Advait Nandakumar Menon: Okay. If that’s the case, wouldn’t it require remodeling and disrupting a… Overall, existing data model now.
189 00:19:01.080 ⇒ 00:19:03.110 Advait Nandakumar Menon: Will that not be the case?
190 00:19:03.860 ⇒ 00:19:10.169 Jasmin Multani: It will be, but that’s why I’m trying to scope out if this is worth it, if this is, like, it’s… if this is…
191 00:19:10.300 ⇒ 00:19:15.339 Jasmin Multani: supposed to be happening or not. Okay. Is this a matter of, like.
192 00:19:15.730 ⇒ 00:19:24.620 Jasmin Multani: Was this just, like, a minor error and we need to overwrite a line in the data table? Nice. Or do we have to, like, completely re… like.
193 00:19:24.690 ⇒ 00:19:36.130 Jasmin Multani: change the sources, that’s what I’m trying to scope out. That’s why I’m trying to push them, like, give us what you’re expecting, like, what do you expect from the Master UPC list? Like, you guys are the company, you guys literally…
194 00:19:36.790 ⇒ 00:19:38.650 Jasmin Multani: This is yours.
195 00:19:38.650 ⇒ 00:19:39.310 Advait Nandakumar Menon: Yeah.
196 00:19:39.310 ⇒ 00:19:45.799 Jasmin Multani: So, I think that’s what I’m trying to push. She might get angry, but… I think…
197 00:19:45.800 ⇒ 00:19:46.420 Advait Nandakumar Menon: Yeah.
198 00:19:46.860 ⇒ 00:19:51.389 Jasmin Multani: I just know that this is gonna… my gut tells me this is gonna be an issue.
199 00:19:51.390 ⇒ 00:19:53.980 Advait Nandakumar Menon: you know, outside the town, yeah, yeah, yeah.
200 00:19:56.830 ⇒ 00:19:59.199 Jasmin Multani: Okay.
201 00:19:59.880 ⇒ 00:20:04.320 Jasmin Multani: I have to give you feedback on.
202 00:20:04.500 ⇒ 00:20:07.879 Advait Nandakumar Menon: Yeah, I’ll send you a long-ass message in Slack, and…
203 00:20:08.780 ⇒ 00:20:21.010 Advait Nandakumar Menon: pasted the same in 364 as well, maybe you can just… it should give you all the context, I feel, but if it doesn’t, I’m free for a call, or more clarification is here.
204 00:20:21.010 ⇒ 00:20:24.620 Jasmin Multani: Yeah, and while I go through that, I’m also gonna map out, like.
205 00:20:25.700 ⇒ 00:20:34.049 Jasmin Multani: like, my approval is gonna be mapped out to, like, is this answering a core question that Shivani wanted in that, spreadsheet? So that’s why I’m, like.
206 00:20:35.530 ⇒ 00:20:39.590 Jasmin Multani: I’m just, like, stalling right now, because I’m… yeah, so sorry about that.
207 00:20:39.930 ⇒ 00:20:49.500 Advait Nandakumar Menon: No, that’s fine. Just for information, I’ve just added the monthly view for now, not the weekly, that is mirroring the reports, because
208 00:20:49.960 ⇒ 00:20:55.849 Advait Nandakumar Menon: Again, to our rework, so I’ve just added monthly forum to get an idea, and…
209 00:20:56.210 ⇒ 00:20:59.740 Advait Nandakumar Menon: Whatever comments or feedback you’re gonna give, I can.
210 00:20:59.920 ⇒ 00:21:01.850 Advait Nandakumar Menon: Rollover to weekly as well.
211 00:21:02.210 ⇒ 00:21:04.629 Jasmin Multani: Okay, perfect. And then…
212 00:21:04.890 ⇒ 00:21:13.990 Jasmin Multani: I’m hoping to give you an answer before 1PM, so that we’re both, like, aligned. 1PM PSD, so that we’re aligned when we walk into…
213 00:21:14.730 ⇒ 00:21:15.850 Jasmin Multani: our meeting.
214 00:21:16.260 ⇒ 00:21:16.790 Advait Nandakumar Menon: Yep.
215 00:21:17.970 ⇒ 00:21:18.540 Advait Nandakumar Menon: Instagram.
216 00:21:18.790 ⇒ 00:21:19.390 Jasmin Multani: Yeah.
217 00:21:20.100 ⇒ 00:21:22.309 Jasmin Multani: And then we can just, like, live…
218 00:21:22.500 ⇒ 00:21:29.650 Jasmin Multani: I’ll pick a dashboard where she can, like, live test out, and if there are other things I need to comment on, I’ll just, like, do that after 1PM.
219 00:21:29.650 ⇒ 00:21:30.200 Advait Nandakumar Menon: stuff?
220 00:21:30.200 ⇒ 00:21:36.139 Jasmin Multani: But my goal is just to give her something that we both are aligned on, so she can play around with it at 1PM.
221 00:21:36.540 ⇒ 00:21:37.880 Advait Nandakumar Menon: Yeah, sounds good.
222 00:21:38.430 ⇒ 00:21:42.679 Jasmin Multani: Okay, sounds good. There’s nothing else to add.
223 00:21:43.260 ⇒ 00:21:45.600 Jasmin Multani: I’ll give you 8 minutes if there’s nothing else.
224 00:21:45.980 ⇒ 00:21:49.679 Advait Nandakumar Menon: Yep, yep, that’s good. And the meeting is in 8 minutes, right?
225 00:21:49.680 ⇒ 00:21:50.290 Jasmin Multani: Yeah.
226 00:21:51.250 ⇒ 00:21:55.179 Jasmin Multani: And also optional. You can always watch the recording,
227 00:21:55.180 ⇒ 00:21:56.510 Advait Nandakumar Menon: Yeah, so, yeah.
228 00:21:56.800 ⇒ 00:21:57.880 Jasmin Multani: Sounds good!
229 00:21:57.880 ⇒ 00:21:59.380 Advait Nandakumar Menon: Alright, sounds good.
230 00:21:59.380 ⇒ 00:22:00.630 Jasmin Multani: Thank you, bye.
231 00:22:00.630 ⇒ 00:22:01.420 Advait Nandakumar Menon: Thank you, bye-bye.