Meeting Title: Jasmin - Ashwini - Discussion on Modelling Requirements for LMNT Date: 2026-04-29 Meeting participants: Ashwini Sharma, Jasmin Multani


WEBVTT

1 00:01:19.820 00:01:21.749 Jasmin Multani: Hi, Ashwini, how’s it going?

2 00:01:22.000 00:01:24.740 Ashwini Sharma: Hey, Jasmine. I’m good, how are you?

3 00:01:25.230 00:01:27.029 Jasmin Multani: Yeah, I should, just getting through it.

4 00:01:27.030 00:01:34.410 Ashwini Sharma: Okay… Yeah, so just wanted to talk about the modeling requirements for, LMNT.

5 00:01:34.700 00:01:36.539 Ashwini Sharma: On the supply chain.

6 00:01:37.870 00:01:41.130 Jasmin Multani: Okay, cool. Yeah.

7 00:01:41.450 00:01:45.039 Jasmin Multani: Still early stages on there.

8 00:01:45.150 00:01:49.600 Jasmin Multani: you wanted to track KPIs, metrics, what did you specifically need?

9 00:01:49.600 00:01:57.559 Ashwini Sharma: Right. What questions do you want to answer with the data model, right? That is what I want to understand. And based on that, I’ll be designing the data models.

10 00:02:00.390 00:02:04.369 Jasmin Multani: I’ll show you the reports that we have, and you can… Okay.

11 00:02:04.530 00:02:08.259 Jasmin Multani: You can see… why I’m talking so long.

12 00:02:10.490 00:02:11.180 Jasmin Multani: Let’s see.

13 00:02:20.580 00:02:21.380 Jasmin Multani: Okay.

14 00:02:26.660 00:02:34.470 Jasmin Multani: So, share screen… These are all of the reports.

15 00:02:35.600 00:02:37.419 Jasmin Multani: Most of the reports.

16 00:02:37.590 00:02:45.170 Jasmin Multani: That the supply team is… Manually updating.

17 00:02:46.030 00:02:46.820 Ashwini Sharma: Okay.

18 00:02:47.160 00:02:56.170 Jasmin Multani: And, like, each… each spreadsheet, there’s, like, a… I don’t have access to this right now, but, each spreadsheet is, like, a larger…

19 00:02:56.500 00:03:03.359 Jasmin Multani: spread of… of metrics. So… As a first stab.

20 00:03:04.880 00:03:08.990 Jasmin Multani: Let me look… let me just look through… You know, Sage.

21 00:03:09.810 00:03:15.850 Jasmin Multani: I’m just trying to figure out, like, what is the most meaningful out of this, and what we can get started on today.

22 00:03:16.070 00:03:19.399 Jasmin Multani: But I know that you also need…

23 00:03:21.010 00:03:25.939 Jasmin Multani: insights to get started on ASAP, so let’s start with something super generic.

24 00:03:27.680 00:03:29.380 Jasmin Multani: Let me see this.

25 00:03:31.740 00:03:36.980 Jasmin Multani: You asked me in the… Element channel.

26 00:03:43.840 00:03:44.680 Ashwini Sharma: Little up.

27 00:03:52.800 00:03:54.429 Ashwini Sharma: Okay. That one.

28 00:03:56.490 00:04:00.399 Jasmin Multani: So Carson has excuse me, do you have any other additions to this?

29 00:04:01.010 00:04:03.640 Jasmin Multani: This is stored data. Let me…

30 00:04:06.680 00:04:09.000 Jasmin Multani: Is it okay if we just make this a live jam?

31 00:04:09.470 00:04:10.150 Ashwini Sharma: Sure.

32 00:04:10.620 00:04:11.160 Jasmin Multani: Great.

33 00:04:16.750 00:04:20.220 Jasmin Multani: So, we need a tracks to conversion.

34 00:04:23.570 00:04:29.409 Jasmin Multani: I’m just gonna… Write this off to the side.

35 00:04:33.460 00:04:38.020 Jasmin Multani: And you specifically want it to be stored, from stored.

36 00:04:38.690 00:04:42.790 Ashwini Sharma: That is what I got to know from Avish, that stored is the primary data source.

37 00:04:43.150 00:04:46.759 Ashwini Sharma: On which we’ll be doing the supply chain modeling, right?

38 00:04:47.350 00:04:52.270 Jasmin Multani: Okay, cool, cool, cool. So… Let’s do something like…

39 00:04:54.030 00:04:58.340 Jasmin Multani: you know, was PO submitted, right?

40 00:04:59.370 00:05:08.900 Jasmin Multani: When was it submitted, and what was… if it was, And if the penal submitted.

41 00:05:09.170 00:05:10.430 Jasmin Multani: otherwise.

42 00:05:10.830 00:05:11.730 Jasmin Multani: It’s…

43 00:05:14.230 00:05:33.519 Jasmin Multani: Just caveat, given how hairy and complicated the supply chain is, and how many people are just doing a bunch of manual reports, my suggestion is that we start off with measuring whole… like, tracking whole numbers, things that are discrete, and, have a straightforward measurement.

44 00:05:33.720 00:05:36.249 Jasmin Multani: Or, timestamp.

45 00:05:37.520 00:05:43.319 Jasmin Multani: I wanna be wary about where we start doing, ag…

46 00:05:43.650 00:05:51.730 Jasmin Multani: numerator and denominator conversion stuff. So, as a first step, like, I would like to keep this as whole numbers or date timestamps.

47 00:05:51.870 00:05:52.490 Ashwini Sharma: Okay.

48 00:05:52.490 00:05:53.980 Jasmin Multani: But, like, binary flags.

49 00:05:54.920 00:06:01.589 Jasmin Multani: Okay, so let’s do this. Was PO submitted? If PO was submitted, when was it submitted?

50 00:06:04.970 00:06:13.180 Jasmin Multani: user journey, like, let’s see… Who are the partners?

51 00:06:14.540 00:06:16.139 Jasmin Multani: All men per birds.

52 00:06:16.690 00:06:22.699 Jasmin Multani: This is, like… Wholesale person… Come in.

53 00:06:23.440 00:06:24.530 Jasmin Multani: Shut up.

54 00:06:25.100 00:06:26.400 Jasmin Multani: Thrive.

55 00:06:27.640 00:06:28.840 Jasmin Multani: et cetera.

56 00:06:34.140 00:06:35.480 Jasmin Multani: Where…

57 00:06:36.560 00:06:42.490 Ashwini Sharma: Partners are the people to which LMNT is selling, or… From Home Element is buying.

58 00:06:42.490 00:06:44.579 Jasmin Multani: Yeah, so it’s like…

59 00:06:45.840 00:06:53.280 Jasmin Multani: there’s up, there are upstream vendors, like, people who work with Element to create the product.

60 00:06:53.900 00:06:54.220 Ashwini Sharma: Yeah.

61 00:06:54.220 00:06:56.510 Jasmin Multani: And then there are downstream partners.

62 00:06:56.680 00:07:00.000 Jasmin Multani: people who are buying Element’s finished product

63 00:07:00.900 00:07:03.199 Jasmin Multani: To sell further to the customer.

64 00:07:03.640 00:07:08.909 Ashwini Sharma: And the start is more of a downstream solution, right?

65 00:07:10.990 00:07:11.950 Jasmin Multani: Yeah.

66 00:07:12.450 00:07:21.839 Jasmin Multani: But there are times See, there are times when, like, the warehouse Fulfillment, they manage it too.

67 00:07:22.150 00:07:28.699 Ashwini Sharma: Right, based on the image that you had shared yesterday, right, the flowchart kind of thing for…

68 00:07:29.260 00:07:37.479 Ashwini Sharma: Yeah, these two images, if you take a look at it, right? So, stored comes into picture once the product is already manufactured.

69 00:07:38.700 00:07:40.959 Ashwini Sharma: And then now you’re distributing it to…

70 00:07:41.250 00:07:46.760 Ashwini Sharma: to… whether it is Costco, or, you know, Amazon, or B2C.

71 00:07:47.790 00:07:52.589 Jasmin Multani: Yeah, but I’m also thinking about, like, these folks.

72 00:07:54.390 00:08:03.520 Ashwini Sharma: Yes. Right, right, yeah. So, so the warehouse inventory management, right, those kind of things are still with the store.

73 00:08:04.220 00:08:04.760 Ashwini Sharma: But…

74 00:08:04.760 00:08:05.560 Jasmin Multani: Yeah.

75 00:08:05.670 00:08:08.510 Ashwini Sharma: But when you get the raw materials, that…

76 00:08:08.960 00:08:12.789 Ashwini Sharma: I mean, those kind of records won’t be there installed. That is my understanding.

77 00:08:13.960 00:08:19.970 Jasmin Multani: Yeah, but I’m just debating whether we need to, like, track that pipeline of, like, what gets

78 00:08:22.210 00:08:28.830 Jasmin Multani: Okay, so for now, for now, let’s just focus on this move element.

79 00:08:30.740 00:08:33.679 Jasmin Multani: I’m not sure if, like, stored only impacts.

80 00:08:34.159 00:08:41.079 Jasmin Multani: D2C and wholesale. I think it’s also tracking… it impacts Amazon, based off of the notes we’ve gotten.

81 00:08:42.789 00:08:43.489 Ashwini Sharma: Okay.

82 00:08:46.140 00:08:47.950 Ashwini Sharma: Can you share this document with me?

83 00:08:48.360 00:08:49.130 Jasmin Multani: Sure.

84 00:09:04.800 00:09:05.760 Jasmin Multani: Install.

85 00:09:33.880 00:09:34.630 Ashwini Sharma: Okay.

86 00:09:35.450 00:09:41.080 Ashwini Sharma: Alright, and the other image that you had shown, right, that’s also part of the supply chain only?

87 00:09:45.820 00:09:48.170 Jasmin Multani: It is, but I think it’s more upstream.

88 00:09:49.100 00:09:56.049 Jasmin Multani: So, before things are… It’s, like, more in the production phase?

89 00:09:56.900 00:10:00.690 Jasmin Multani: But you, you know where… but I also see stored.

90 00:10:00.980 00:10:02.599 Jasmin Multani: Under the warehousing.

91 00:10:07.450 00:10:08.990 Ashwini Sharma: Are you sharing something?

92 00:10:10.870 00:10:11.510 Jasmin Multani: Nope.

93 00:10:15.160 00:10:18.020 Ashwini Sharma: Yeah, stored specific to a city, right?

94 00:10:19.580 00:10:22.180 Jasmin Multani: Yeah, warehousing, sales channels.

95 00:10:22.510 00:10:31.270 Jasmin Multani: So I think this… Is a more… this pieces is a more granular version of… this.

96 00:10:31.480 00:10:32.120 Ashwini Sharma: Yeah.

97 00:10:33.280 00:10:39.600 Jasmin Multani: So, let’s base it off of this, and be like, okay, who’s the pitting source?

98 00:10:42.980 00:10:45.269 Jasmin Multani: Who… if we can track for that.

99 00:10:45.430 00:10:49.200 Jasmin Multani: So, who’s creating source? What is the warehouse?

100 00:10:51.980 00:10:54.380 Jasmin Multani: Is it going to D2C or wholesale?

101 00:11:01.740 00:11:05.960 Jasmin Multani: source, where?

102 00:11:06.530 00:11:08.100 Jasmin Multani: warehouse.

103 00:11:09.420 00:11:12.450 Jasmin Multani: Education… And then…

104 00:11:18.040 00:11:18.770 Ashwini Sharma: Channel.

105 00:11:19.570 00:11:21.619 Jasmin Multani: Channel, just call it channel.

106 00:11:22.050 00:11:23.460 Jasmin Multani: Who is Channel?

107 00:11:24.580 00:11:26.359 Jasmin Multani: What is the channel.

108 00:11:32.960 00:11:40.490 Jasmin Multani: I’m trying to under… Let’s just start it off like this.

109 00:11:41.100 00:11:43.550 Jasmin Multani: This is also subject to change.

110 00:11:43.650 00:11:50.430 Jasmin Multani: But, this is… okay, so based off of the… Please.

111 00:11:53.630 00:11:59.569 Jasmin Multani: Based off of the… Screenshots, Julie.

112 00:12:03.660 00:12:04.810 Jasmin Multani: That trap.

113 00:12:09.990 00:12:17.350 Jasmin Multani: Based off of KPIs, we anticipate… Dang.

114 00:12:18.700 00:12:23.269 Jasmin Multani: So think about this client is, like, whenever… I’m pretty surprised that… but, like.

115 00:12:23.870 00:12:32.599 Jasmin Multani: whenever I show them, like, something that I feel like is a bare minimum basic standard, they’re like, oh, this is way too sophisticated. So…

116 00:12:32.760 00:12:42.900 Jasmin Multani: that’s why I want to start off doing whole number measurements and just very basic tracking before we get fancy with the,

117 00:12:44.550 00:12:53.829 Jasmin Multani: with all of this. Like, which SKUs are below threshold? That’s gonna be a measurement. Like, that’s gonna be, like, a calculation, rather than, like, a…

118 00:12:55.310 00:12:57.710 Jasmin Multani: Integer that we’ve measured.

119 00:12:58.120 00:12:59.299 Jasmin Multani: Does that make sense?

120 00:12:59.300 00:12:59.669 Ashwini Sharma: Yeah, yeah.

121 00:12:59.670 00:13:00.760 Jasmin Multani: dark claims, okay.

122 00:13:00.760 00:13:04.100 Ashwini Sharma: Yeah, I get it. Yeah, no sophisticated metrics.

123 00:13:04.470 00:13:06.840 Ashwini Sharma: Just basic, you know.

124 00:13:08.300 00:13:12.599 Jasmin Multani: And the truth is… yeah, and the truth is, like, there are so many…

125 00:13:13.460 00:13:20.349 Jasmin Multani: Sources that they’re playing around with still to calculate, you know, where in the pipeline is

126 00:13:21.050 00:13:33.360 Jasmin Multani: their most accurate representation, so they’re still iterating on, like, at one point, can we define allocated versus locked versus damaged? So they’re still playing around.

127 00:13:34.750 00:13:38.659 Jasmin Multani: But… for now, we can just do this.

128 00:13:38.920 00:13:46.270 Jasmin Multani: Which one is this? Shipment receipt-driven movement. I also just want to see… I would like to see…

129 00:13:47.420 00:13:50.009 Jasmin Multani: The stored data, raw information, but…

130 00:13:51.350 00:13:58.080 Jasmin Multani: What items to inventory change? Yeah, this is, like, gonna be more complicated for them, how much inventory?

131 00:13:58.900 00:14:02.220 Jasmin Multani: Is this information that can be grabbed from stored?

132 00:14:02.390 00:14:08.809 Ashwini Sharma: I don’t know. I just asked Kursar to give me some of the KPIs that’s used in a typical supply chain.

133 00:14:08.980 00:14:14.249 Ashwini Sharma: Data marts, and then that’s how it has released me, these things.

134 00:14:14.560 00:14:17.109 Ashwini Sharma: Some of them may not be applicable to elementary.

135 00:14:17.800 00:14:24.180 Jasmin Multani: Yeah, so let’s… I like this, like, how much… how much… Amount.

136 00:14:24.810 00:14:33.530 Jasmin Multani: Units, units requested… Units to build…

137 00:14:35.320 00:14:45.880 Jasmin Multani: let’s do, like, a JSON array of… You know, flavors, item names… Excuse…

138 00:14:47.460 00:14:51.890 Jasmin Multani: Right now, I’m just thinking of, like, hey, idea?

139 00:14:52.300 00:14:57.870 Jasmin Multani: schema… idea… For now, is gonna be…

140 00:14:57.980 00:15:03.330 Jasmin Multani: Each row is a net new… PO order.

141 00:15:04.670 00:15:05.370 Ashwini Sharma: Okay.

142 00:15:06.580 00:15:08.490 Jasmin Multani: your submission, right?

143 00:15:13.400 00:15:17.630 Jasmin Multani: And then also have, like, date, snapshot date.

144 00:15:19.350 00:15:19.829 Jasmin Multani: Indeed.

145 00:15:20.450 00:15:21.310 Jasmin Multani: this.

146 00:15:23.740 00:15:24.669 Jasmin Multani: But it’s not okay.

147 00:15:28.670 00:15:41.820 Jasmin Multani: And then, this is just gonna be, like, we’re just gonna, like, concat, like, stockpile all this information into a JSON array, but, like, it should be tracking. It’s like, this is the SKU, this is the item name for the SKU.

148 00:15:42.690 00:15:43.920 Jasmin Multani: UPC.

149 00:15:44.130 00:15:45.170 Jasmin Multani: Sure.

150 00:15:45.360 00:15:46.220 Jasmin Multani: Yeah.

151 00:15:47.500 00:15:59.880 Jasmin Multani: Then, count versus… Cal, single versus… Package, stuff like that.

152 00:16:00.170 00:16:02.170 Jasmin Multani: Is this enough for you to get started?

153 00:16:02.170 00:16:03.010 Ashwini Sharma: Yep, yep.

154 00:16:03.450 00:16:04.439 Ashwini Sharma: This is good enough.

155 00:16:06.020 00:16:07.969 Jasmin Multani: To get started.

156 00:16:11.180 00:16:12.350 Jasmin Multani: Giving.

157 00:16:14.250 00:16:15.160 Jasmin Multani: Please.

158 00:16:16.150 00:16:17.610 Jasmin Multani: She was smart.

159 00:16:20.070 00:16:21.789 Jasmin Multani: To get started.

160 00:16:23.120 00:16:26.880 Jasmin Multani: opportunity to do that is security.

161 00:16:39.390 00:16:40.200 Ashwini Sharma: Alright.

162 00:16:40.660 00:16:41.590 Ashwini Sharma: Thank you.

163 00:16:41.950 00:16:44.409 Ashwini Sharma: I can get started, yeah. Awesome.

164 00:16:44.410 00:16:45.609 Jasmin Multani: Thank you. Bye.