Meeting Title: LMNT Retail definitions Date: 2026-02-13 Meeting participants: Awaish Kumar, Amber Lin
WEBVTT
1 00:00:00.250 ⇒ 00:00:01.339 Awaish Kumar: in the delivery.
2 00:02:35.600 ⇒ 00:02:36.600 Amber Lin: Hello!
3 00:02:44.540 ⇒ 00:02:45.180 Awaish Kumar: Hi.
4 00:02:45.180 ⇒ 00:02:51.990 Amber Lin: Hi. Hi. Wanted to see what definitions you want to align on.
5 00:02:53.990 ⇒ 00:02:59.599 Awaish Kumar: Yeah, like, can you, like…
6 00:03:00.420 ⇒ 00:03:03.519 Awaish Kumar: Share the screen with the retail reporting sheet?
7 00:03:04.490 ⇒ 00:03:09.300 Amber Lin: Sure, one sec, I need to transfer the meeting to my computer.
8 00:03:10.710 ⇒ 00:03:14.000 Awaish Kumar: Oh, okay, I’m… I’m also on mobile.
9 00:03:14.000 ⇒ 00:03:15.519 Amber Lin: Yeah, all good, okay.
10 00:03:15.660 ⇒ 00:03:16.760 Amber Lin: One sec.
11 00:04:05.500 ⇒ 00:04:18.370 Amber Lin: Cool, I have it here. I know you put it in this section. I was looking at the one for Phil, so that would be…
12 00:04:18.730 ⇒ 00:04:22.809 Awaish Kumar: Yeah, this is just the… this is just the list of schools.
13 00:04:23.340 ⇒ 00:04:24.430 Awaish Kumar: phone.
14 00:04:24.550 ⇒ 00:04:30.049 Awaish Kumar: like, it’s sparkling and drink mix, right? If I see…
15 00:04:32.510 ⇒ 00:04:45.489 Awaish Kumar: thing, like, sparkling, then I would say it’s a sparkling product. Otherwise… I see. Right? But I’m… I see. But I don’t have… I don’t exactly have this sparkling, like, word in this spoonane.
16 00:04:45.600 ⇒ 00:04:47.900 Awaish Kumar: It doesn’t say SPK, I don’t know if.
17 00:04:47.900 ⇒ 00:04:48.970 Amber Lin: That is true.
18 00:04:48.970 ⇒ 00:04:49.540 Awaish Kumar: Nice or juice.
19 00:04:49.540 ⇒ 00:05:02.700 Amber Lin: Sure, let me… let me show you this. So I don’t have a spreadsheet that lists the product names, but I do think in here…
20 00:05:03.190 ⇒ 00:05:12.509 Amber Lin: we have… so this is not just Wholesale, this is Shopify, all of Shopify. So this table should have…
21 00:05:12.510 ⇒ 00:05:13.420 Awaish Kumar: Thank you for close.
22 00:05:13.420 ⇒ 00:05:15.909 Amber Lin: Their product…
23 00:05:15.910 ⇒ 00:05:27.130 Awaish Kumar: Yeah, but that is Shopify, and Shopify is e-commerce, so e-commerce and retail schools might not be the same. That’s the problem, I don’t know.
24 00:05:27.130 ⇒ 00:05:36.859 Amber Lin: Oh, okay. Then we probably should ask them, what table were you looking at? Is it also in Snowflake?
25 00:05:37.030 ⇒ 00:05:41.240 Awaish Kumar: Yeah, it’s… they are immersion tables, right? They are in retail mode.
26 00:05:41.360 ⇒ 00:05:49.650 Awaish Kumar: If you can look at, if you want to look at the raw tables, you can go to the immersion element share.
27 00:05:50.960 ⇒ 00:05:56.349 Awaish Kumar: There was an element share, not in rights, not in rights, outside Database name is…
28 00:05:56.620 ⇒ 00:05:58.079 Awaish Kumar: Just below their marks, yeah.
29 00:05:58.080 ⇒ 00:05:59.330 Amber Lin: Okay.
30 00:06:00.960 ⇒ 00:06:03.310 Awaish Kumar: The other schema, yeah, element of 4 to 5.
31 00:06:04.390 ⇒ 00:06:05.050 Amber Lin: Yeah.
32 00:06:05.050 ⇒ 00:06:21.010 Awaish Kumar: All these tables are raw tables, but yeah, I’m using these, and we have retail mod already in the pod mods as well. So you can use it in the prod mods, you can go to the retail, and then you could dim products.
33 00:06:22.540 ⇒ 00:06:27.029 Amber Lin: I see, which one?
34 00:06:27.030 ⇒ 00:06:28.549 Awaish Kumar: Not much. Retail.
35 00:06:29.830 ⇒ 00:06:31.590 Amber Lin: Retail…
36 00:06:31.590 ⇒ 00:06:33.220 Awaish Kumar: BIM products, yeah.
37 00:06:33.970 ⇒ 00:06:37.740 Amber Lin: Yeah, is there no categories there?
38 00:06:38.060 ⇒ 00:06:40.950 Awaish Kumar: There is no… there are no categories, but I don’t know if…
39 00:06:40.950 ⇒ 00:06:41.780 Amber Lin: Oh, okay.
40 00:06:41.780 ⇒ 00:06:46.369 Awaish Kumar: Take a product name, and try to find… find out based on that.
41 00:06:46.370 ⇒ 00:06:48.120 Amber Lin: segment, maybe?
42 00:06:48.330 ⇒ 00:06:58.779 Amber Lin: Wait, let me check… Nope, never mind. Yeah, I don’t know. We can try mapping the name…
43 00:06:58.930 ⇒ 00:07:08.339 Amber Lin: I haven’t really touched the retail data, but let’s figure that out. We can also ask their people to help us categorize if we have a full list.
44 00:07:08.490 ⇒ 00:07:09.809 Amber Lin: But…
45 00:07:09.820 ⇒ 00:07:11.409 Awaish Kumar: Yeah, that’s what I am.
46 00:07:11.410 ⇒ 00:07:14.279 Amber Lin: Pretty easy, but, like, what was your question on the…
47 00:07:14.280 ⇒ 00:07:18.759 Awaish Kumar: You’re able to… Yeah, I’m just… I’m just want to… I just wanted to confirm, like.
48 00:07:18.760 ⇒ 00:07:20.100 Amber Lin: Like…
49 00:07:20.100 ⇒ 00:07:35.559 Awaish Kumar: We already know that as far as sparkling, like, we have come across in communication where they say, okay, if in a school the world is sparkling, yes, there is a sparkling product, otherwise it’s a drink mix, right? But,
50 00:07:36.650 ⇒ 00:07:46.209 Awaish Kumar: But I see, like, from Utam, like, he… he pushed product type in, in Shopify, where it says other also. Tring mix?
51 00:07:47.100 ⇒ 00:07:47.490 Amber Lin: Yeah.
52 00:07:47.490 ⇒ 00:07:50.470 Awaish Kumar: And then he says, Spotman?
53 00:07:50.470 ⇒ 00:07:50.790 Amber Lin: Hello?
54 00:07:50.790 ⇒ 00:07:52.320 Awaish Kumar: I don’t know what other is.
55 00:07:52.320 ⇒ 00:08:01.530 Amber Lin: Alright. Yeah, others should just be, their merchandise, because I was looking… I was looking at that, too.
56 00:08:01.640 ⇒ 00:08:08.110 Amber Lin: Where is… I think we should be fine without other… necessarily, it’s…
57 00:08:08.110 ⇒ 00:08:14.099 Awaish Kumar: Okay. No, I don’t think there’s anything merchandise in retail, right? Retail is mostly…
58 00:08:14.410 ⇒ 00:08:15.150 Amber Lin: Yeah.
59 00:08:16.210 ⇒ 00:08:17.700 Amber Lin: be fine.
60 00:08:18.640 ⇒ 00:08:21.520 Amber Lin: Cool, because the others are…
61 00:08:22.200 ⇒ 00:08:30.160 Amber Lin: Like, there’s a hat, there’s a water bottle, there’s this, I don’t know what that is, but, like, we should be able to ignore the others.
62 00:08:32.669 ⇒ 00:08:37.019 Awaish Kumar: Yeah, in Shopify, other merchandise, then okay, yeah, I can just…
63 00:08:37.020 ⇒ 00:08:37.360 Amber Lin: Yeah.
64 00:08:37.360 ⇒ 00:08:39.610 Awaish Kumar: You know that. Yeah.
65 00:08:40.159 ⇒ 00:08:42.829 Awaish Kumar: Okay, and what about the…
66 00:08:42.830 ⇒ 00:08:45.110 Amber Lin: Are you okay with the definitions here?
67 00:08:46.260 ⇒ 00:08:55.769 Awaish Kumar: Yeah, I’m… yeah, yeah, I was coming to that, but before that, I want to just confirm, like, in Walmart, we don’t have World Sparkling, it just says SPK.
68 00:08:55.930 ⇒ 00:08:57.909 Awaish Kumar: Is that for a sparkling?
69 00:08:57.910 ⇒ 00:08:59.259 Amber Lin: That should be, yeah.
70 00:08:59.380 ⇒ 00:09:01.599 Amber Lin: If it’s not drink mess, it’s sparkling.
71 00:09:03.180 ⇒ 00:09:03.780 Amber Lin: Oh my god.
72 00:09:03.780 ⇒ 00:09:08.279 Awaish Kumar: I mean, there’s no word. In a school, the only way for me to…
73 00:09:08.280 ⇒ 00:09:09.420 Amber Lin: So, let me…
74 00:09:09.420 ⇒ 00:09:22.000 Awaish Kumar: categorize them is using Sparkling World, right? I check for the school name, and it says… if it says Sparkling, then it’s sparkling, otherwise Rick Mix, because none of the product mentioned Rick Mix in that name.
75 00:09:22.560 ⇒ 00:09:26.379 Amber Lin: Yeah, that’s…
76 00:09:26.380 ⇒ 00:09:26.859 Awaish Kumar: on the phone.
77 00:09:28.130 ⇒ 00:09:29.060 Awaish Kumar: There’s SPK.
78 00:09:29.060 ⇒ 00:09:29.970 Amber Lin: Right?
79 00:09:29.970 ⇒ 00:09:31.470 Awaish Kumar: Yeah. Is there…
80 00:09:31.470 ⇒ 00:09:33.360 Amber Lin: O-C-S.
81 00:09:34.290 ⇒ 00:09:36.980 Amber Lin: Zero sugar. That’s zero sugar. Okay.
82 00:09:36.980 ⇒ 00:09:39.380 Awaish Kumar: Yeah, ZS is zero sugar, and .
83 00:09:39.380 ⇒ 00:09:40.209 Amber Lin: What is Freak?
84 00:09:40.210 ⇒ 00:09:43.180 Awaish Kumar: Okay, I think… maybe it’s sparkling, I don’t know.
85 00:09:43.180 ⇒ 00:09:48.259 Amber Lin: I think SPK is sparkling. Let’s… let’s grab this and just send it
86 00:09:48.460 ⇒ 00:09:59.940 Amber Lin: Like, you can send it to Utam and then ask who we ask, but we need someone to help categorize, and, like, it won’t be… I’ll just make… I guess… Yeah, I just want…
87 00:10:00.230 ⇒ 00:10:10.739 Awaish Kumar: Yeah, I just want us to be on the same page. We… I can push these categories out, but then when in the discussion, you… obviously, you… you have to…
88 00:10:10.860 ⇒ 00:10:18.749 Awaish Kumar: to tell them, like, this is the approach we took, but is there anything you want us to know? We can update that. So, that’s why I just want you to know.
89 00:10:18.750 ⇒ 00:10:19.080 Amber Lin: Cool.
90 00:10:19.080 ⇒ 00:10:20.120 Awaish Kumar: what I’m doing here.
91 00:10:20.430 ⇒ 00:10:27.999 Amber Lin: Yeah, thank you, that’s very helpful. Let me color this so that we ask someone to help categorize
92 00:10:28.190 ⇒ 00:10:29.470 Amber Lin: Cool, okay.
93 00:10:29.770 ⇒ 00:10:31.270 Awaish Kumar: Okay. And then…
94 00:10:31.360 ⇒ 00:10:33.400 Amber Lin: Then, yeah, for definitions?
95 00:10:33.400 ⇒ 00:10:34.959 Awaish Kumar: I just saved…
96 00:10:35.130 ⇒ 00:10:46.490 Awaish Kumar: I have built the model, but the thing is, it just says, same day, when it says same day last week, that is understandable. Like, we can say, okay, Monday, this…
97 00:10:46.550 ⇒ 00:10:50.470 Awaish Kumar: In this week, we can go to Monday, last week.
98 00:10:50.480 ⇒ 00:11:08.129 Awaish Kumar: But when it says same day last month, then I’m not sure what… is it talking about date, or is it talking about, this first Monday, this month… Yeah, it’s also very confusing. Let’s look at it here. So, I think it’s also similar to same day last week.
99 00:11:08.130 ⇒ 00:11:15.940 Amber Lin: Here is the example that Phil gave. So, first Wednesday of December compared to first Wednesday of November.
100 00:11:16.290 ⇒ 00:11:20.650 Amber Lin: So, it’s week number, and… weekday number.
101 00:11:20.790 ⇒ 00:11:21.560 Amber Lin: Two of them.
102 00:11:21.560 ⇒ 00:11:24.159 Awaish Kumar: Okay, then it means that…
103 00:11:24.430 ⇒ 00:11:36.569 Awaish Kumar: first Wednesday, right? Then, like, similar… so if we have same day, Wednesday, same day last month, then we might have, like, Wednesday.
104 00:11:37.120 ⇒ 00:11:43.790 Awaish Kumar: Third, third Wednesday in December should be married to third Wednesday in…
105 00:11:43.950 ⇒ 00:11:54.970 Awaish Kumar: In November. In the name of November, right? Yeah. Okay, that’s approach what I’m… this is the same approach I’m taking, but then what about if we have, for example, 5 Mondays in December.
106 00:11:55.240 ⇒ 00:11:58.360 Awaish Kumar: And 4 Mondays in… in November. So…
107 00:11:58.360 ⇒ 00:11:59.560 Amber Lin: Yeah.
108 00:11:59.560 ⇒ 00:12:00.490 Awaish Kumar: Monday should be mad.
109 00:12:00.490 ⇒ 00:12:01.400 Amber Lin: Afterwards.
110 00:12:02.290 ⇒ 00:12:03.350 Amber Lin: Wait…
111 00:12:04.040 ⇒ 00:12:13.479 Amber Lin: Yeah, this is the edge case that Phil has here. If you can see my screen, I’ll make it bigger. So he says, in case of the prior month not having enough
112 00:12:13.810 ⇒ 00:12:19.290 Amber Lin: X days versus X weeks, I guess. If there’s no fifth Friday.
113 00:12:20.000 ⇒ 00:12:21.930 Awaish Kumar: Okay. The first…
114 00:12:21.970 ⇒ 00:12:27.890 Amber Lin: X… Okay. Do you know what this means?
115 00:12:28.270 ⇒ 00:12:40.470 Awaish Kumar: Yeah, I’m actually doing that, so it just means that 5th Monday of December will then match to 1st Monday of November, the first occurrence.
116 00:12:41.900 ⇒ 00:12:44.670 Amber Lin: First Monday? Or the fourth Monday?
117 00:12:45.050 ⇒ 00:12:46.759 Awaish Kumar: No, no, the first XD.
118 00:12:47.120 ⇒ 00:12:47.820 Awaish Kumar: Oh!
119 00:12:48.250 ⇒ 00:12:52.619 Amber Lin: Oh, okay, okay, okay, I understand. Sorry, that was very confusing.
120 00:12:53.000 ⇒ 00:12:59.025 Amber Lin: We… Five…
121 00:12:59.840 ⇒ 00:13:04.979 Awaish Kumar: I think that’s… like, that’s what I understood, that’s why I also wanted to confirm from you.
122 00:13:06.760 ⇒ 00:13:15.800 Amber Lin: Great. Week 1, Friday. Cool. Okay. And then the… the last, like, year over year…
123 00:13:16.430 ⇒ 00:13:20.740 Amber Lin: It’s the same, like, week… Week number.
124 00:13:20.740 ⇒ 00:13:27.740 Awaish Kumar: and compares the anchoring date of V to Salmart retail calendar, counterpart. That means the same day, like, if we are on date
125 00:13:28.520 ⇒ 00:13:34.390 Awaish Kumar: If we are comparing… Week by week, then same week last year.
126 00:13:35.080 ⇒ 00:13:36.790 Awaish Kumar: You’re located.
127 00:13:36.790 ⇒ 00:13:37.230 Amber Lin: Yeah.
128 00:13:37.230 ⇒ 00:13:40.350 Awaish Kumar: We are on the daily one, then same day, right?
129 00:13:41.350 ⇒ 00:13:42.890 Amber Lin: It’s our daily one.
130 00:13:43.060 ⇒ 00:13:45.090 Amber Lin: Whoa, whoa, whoa daily one.
131 00:13:45.640 ⇒ 00:13:48.930 Awaish Kumar: No, when it says, like, we have the daily tab also, right?
132 00:13:49.210 ⇒ 00:14:01.990 Amber Lin: Oh, yeah, yes, so this is just individual dates. That’s why we needed extra columns in the model to calculate it, because I have no clue how to use Excel to calculate these.
133 00:14:01.990 ⇒ 00:14:06.170 Awaish Kumar: Yeah, yeah, but… but when it says the same day last year, that means…
134 00:14:06.280 ⇒ 00:14:10.140 Awaish Kumar: It’s, like, the same date. We will check on date, right?
135 00:14:10.140 ⇒ 00:14:10.860 Amber Lin: I…
136 00:14:10.860 ⇒ 00:14:12.650 Awaish Kumar: 5th of January, 2025.
137 00:14:12.650 ⇒ 00:14:13.020 Amber Lin: Thank you.
138 00:14:13.020 ⇒ 00:14:13.410 Awaish Kumar: You’re…
139 00:14:13.410 ⇒ 00:14:16.229 Amber Lin: Still wants week number and day number.
140 00:14:16.750 ⇒ 00:14:27.310 Amber Lin: Like, he says December 21st on 2024 will be matched against December 23rd, 2023, which is probably that…
141 00:14:27.610 ⇒ 00:14:29.129 Amber Lin: Say, this is the fifth.
142 00:14:29.130 ⇒ 00:14:29.810 Awaish Kumar: Yeah, weekly.
143 00:14:29.810 ⇒ 00:14:32.769 Amber Lin: First week, and they won.
144 00:14:33.280 ⇒ 00:14:48.859 Awaish Kumar: Yeah, that is doable in terms of week numbers, so this is… this happens, right? For example, if you say, I need 5th week of… the fifth week of 2025,
145 00:14:48.860 ⇒ 00:14:59.700 Awaish Kumar: will be matched to the fifth week of 2024. Yes. When we have those week calculations, it is easy to match that. But then, when I’m saying…
146 00:14:59.700 ⇒ 00:15:02.929 Awaish Kumar: You know, he says, same day last year.
147 00:15:02.990 ⇒ 00:15:06.909 Awaish Kumar: then I’m confused, like… Same day is what, right?
148 00:15:07.150 ⇒ 00:15:09.300 Amber Lin: Oh…
149 00:15:09.300 ⇒ 00:15:11.439 Awaish Kumar: Same day is, like,
150 00:15:12.740 ⇒ 00:15:19.310 Awaish Kumar: Like, first Monday of first week, right? Or what, like, or just, I should go just with the dates.
151 00:15:19.930 ⇒ 00:15:27.850 Amber Lin: Oh, you’re right. And then even with same day last month, I know, like, month over month, that’s what he means, but, like, same.
152 00:15:27.850 ⇒ 00:15:34.260 Awaish Kumar: Sure, same day last month is… same day last month is what you showed, right? You showed that first occurred.
153 00:15:34.260 ⇒ 00:15:35.050 Amber Lin: It’s possible.
154 00:15:35.050 ⇒ 00:15:44.680 Awaish Kumar: Monday this month with the first occurrence of Monday last month, and second occurrence of Monday this month will be second occurrence of Monday last month.
155 00:15:44.890 ⇒ 00:15:54.140 Amber Lin: Yeah, you know what, let’s just do, let’s do his definitions here, because when he says do year over year using this, I’m using this.
156 00:15:54.140 ⇒ 00:15:55.110 Awaish Kumar: Unless there is no…
157 00:15:55.110 ⇒ 00:15:58.820 Amber Lin: Same day last year to… to compare that.
158 00:15:59.030 ⇒ 00:16:04.220 Awaish Kumar: So this def… yeah, this definition doesn’t exactly say about daily
159 00:16:04.690 ⇒ 00:16:07.900 Awaish Kumar: Same day last year, that’s why I’m confused.
160 00:16:08.370 ⇒ 00:16:11.990 Amber Lin: Yeah, he’s… he’s doing this, like.
161 00:16:11.990 ⇒ 00:16:14.039 Awaish Kumar: This is doing for a week, right? This is…
162 00:16:14.710 ⇒ 00:16:15.920 Amber Lin: Yeah, but…
163 00:16:15.920 ⇒ 00:16:16.270 Awaish Kumar: Please.
164 00:16:16.270 ⇒ 00:16:24.769 Amber Lin: Still thinking he’s saying the 21st of December will be compared against, like, the 23rd of December for 2023. Let me check…
165 00:16:24.770 ⇒ 00:16:41.520 Awaish Kumar: Yeah, it’s because… it’s because when you… when you get the week numbers, right, you can start… we start from Friday to Saturday, right? And we keep on doing week number one, week 2, week 3, week 4. When you try to do and get 52 weeks, you can exactly match week by week.
166 00:16:41.670 ⇒ 00:16:50.980 Awaish Kumar: Like, each week number… week 5 will be mailed to week 5, week 52 will be mailed to week 52, and dates could be different, but it will be week number 52.
167 00:16:51.940 ⇒ 00:17:00.120 Amber Lin: Yeah, I think that’s correct, because December 23rd is a Saturday, on the 2023, and is…
168 00:17:00.450 ⇒ 00:17:01.550 Amber Lin: It’s the 21st.
169 00:17:01.550 ⇒ 00:17:02.120 Awaish Kumar: I am.
170 00:17:02.840 ⇒ 00:17:17.169 Awaish Kumar: I understand for weeks, right? That’s why it’s written… it is written there, I’m clear on that, but it does not… he does not wrote anything about, again, like, same day last year thing. What do you mean by same day.
171 00:17:17.170 ⇒ 00:17:26.059 Amber Lin: definition, right? We’re gonna use, like, same day last year, it’s gonna be same week number of years, same weekday of that week.
172 00:17:26.400 ⇒ 00:17:42.269 Awaish Kumar: Oh, okay, so we are saying week… same week means week number 52, this year will be week number 52 last year, and then we will have same weekday, or also, like, the Monday, then the Monday of week 52.
173 00:17:42.800 ⇒ 00:17:43.380 Amber Lin: Yeah.
174 00:17:43.740 ⇒ 00:17:44.610 Awaish Kumar: Oh, okay.
175 00:17:44.610 ⇒ 00:17:52.110 Amber Lin: do that, because then I can… I can easily do a, like, year-over-year comparison using that.
176 00:17:53.260 ⇒ 00:18:01.669 Awaish Kumar: Okay, so I like… I… okay, I already have the model, I can sync it to Google Sheet now, and
177 00:18:01.780 ⇒ 00:18:10.030 Awaish Kumar: Then when you see the data, like, you can see the data in Snowflake, I think it should be there, but then you can also see it in the Google Sheet.
178 00:18:10.330 ⇒ 00:18:13.419 Amber Lin: Awesome. What is the model called in…
179 00:18:13.420 ⇒ 00:18:16.710 Awaish Kumar: This should be… It should… you should be…
180 00:18:16.710 ⇒ 00:18:17.099 Amber Lin: I don’t need.
181 00:18:17.100 ⇒ 00:18:22.329 Awaish Kumar: Retail Marts, and it should call Retail School Daily Summary.
182 00:18:22.920 ⇒ 00:18:26.310 Amber Lin: Util… they need some… Okay.
183 00:18:26.750 ⇒ 00:18:27.730 Amber Lin: Great.
184 00:18:28.840 ⇒ 00:18:29.310 Awaish Kumar: the loose.
185 00:18:29.310 ⇒ 00:18:33.319 Amber Lin: Sounds good, sounds good. And then we’ll reach out on.
186 00:18:33.320 ⇒ 00:18:39.169 Awaish Kumar: Category column, we can’t use that right now, it’s broken, because it’s…
187 00:18:43.260 ⇒ 00:18:44.840 Amber Lin: Cool. Okay.
188 00:18:45.040 ⇒ 00:18:47.940 Awaish Kumar: Sounds good. So, yeah, we can’t do…
189 00:18:47.970 ⇒ 00:18:48.790 Amber Lin: leaves.
190 00:18:48.790 ⇒ 00:19:00.969 Awaish Kumar: Okay, I will confirm the definitions from my side, what… if I have… whatever I have used, are they correct? And also, I will work on category stuff. But, otherwise, everything is there.
191 00:19:01.350 ⇒ 00:19:06.110 Amber Lin: Yeah, sounds good. I’ll send a summary of what we just talked about, and then see if Lutam has the answer.
192 00:19:06.460 ⇒ 00:19:07.190 Awaish Kumar: Okay.
193 00:19:07.960 ⇒ 00:19:09.380 Amber Lin: Great, bye!
194 00:19:09.670 ⇒ 00:19:13.449 Awaish Kumar: Right. Oh, also, oh, sorry, Amber? Yeah.
195 00:19:13.620 ⇒ 00:19:16.460 Awaish Kumar: Like, I don’t know what Tom said.
196 00:19:16.720 ⇒ 00:19:25.229 Awaish Kumar: If I can help you with Shopify wholesale reconciliation, I don’t know what you need, like, I gave you access to Shopify.
197 00:19:25.230 ⇒ 00:19:34.679 Amber Lin: Yeah, I got into Shopify, I haven’t looked into any of Shopify’s reports. If I need help, I’ll ask to, but so far, like, I don’t even know what help I need.
198 00:19:35.180 ⇒ 00:19:36.020 Awaish Kumar: Okay.
199 00:19:36.090 ⇒ 00:19:39.660 Amber Lin: Okay, let me know if there’s anything, and… Cool.
200 00:19:40.270 ⇒ 00:19:42.150 Awaish Kumar: Okay, great, thank you.
201 00:19:42.150 ⇒ 00:19:44.969 Amber Lin: Yeah, oh, sorry, Eden’s sheet is in the… in the…
202 00:19:45.170 ⇒ 00:19:49.669 Amber Lin: in the doc, right? The Eden affiliates?
203 00:19:51.950 ⇒ 00:19:52.590 Awaish Kumar: Sorry?
204 00:19:52.590 ⇒ 00:19:54.080 Amber Lin: the affiliate stuff.
205 00:19:55.100 ⇒ 00:19:57.569 Awaish Kumar: Eden, it should be… is it there?
206 00:19:57.830 ⇒ 00:20:00.989 Amber Lin: Oh, I see it now, I see it, I see Catalyst.
207 00:20:00.990 ⇒ 00:20:04.500 Awaish Kumar: Yeah, it’s just because polyatomic, we just sink it once a day.
208 00:20:04.770 ⇒ 00:20:05.480 Amber Lin: That’s fine.
209 00:20:05.480 ⇒ 00:20:10.410 Awaish Kumar: If I change anything, it will appear tomorrow, but yeah, I just synced it right off.
210 00:20:10.410 ⇒ 00:20:13.409 Amber Lin: Makes sense. Okay, thank you, that was very helpful.
211 00:20:13.510 ⇒ 00:20:14.170 Awaish Kumar: Fatus.
212 00:20:14.170 ⇒ 00:20:15.409 Amber Lin: Alrighty, bye.