Meeting Title: Zoom Meeting Date: 2025-01-02 Meeting participants: Luke Daque, Nicolas Sucari
WEBVTT
1 00:00:13.930 ⇒ 00:00:14.790 Luke Daque: Hello!
2 00:00:15.460 ⇒ 00:00:16.939 Nicolas Sucari: Hey, Luke, how are you?
3 00:00:16.940 ⇒ 00:00:19.959 Luke Daque: Hi, Nicholas, doing great! How are you happy? New Year?
4 00:00:19.960 ⇒ 00:00:22.230 Nicolas Sucari: Doing good. Happy New Year to you, too.
5 00:00:22.510 ⇒ 00:00:24.190 Nicolas Sucari: How was that celebration.
6 00:00:24.940 ⇒ 00:00:31.509 Luke Daque: Yeah, pretty fun. I spent most of the time with family. Basically, how about you.
7 00:00:32.049 ⇒ 00:00:34.089 Nicolas Sucari: Yeah, me, too. Spending time.
8 00:00:34.090 ⇒ 00:00:37.590 Luke Daque: Still in. Yeah, it’s still in the Us. Right? Or something.
9 00:00:37.590 ⇒ 00:00:39.350 Nicolas Sucari: In Uruguay. Yes.
10 00:00:39.350 ⇒ 00:00:41.169 Luke Daque: Oh, Uruguay, yeah, right?
11 00:00:41.640 ⇒ 00:00:41.980 Nicolas Sucari: Spent.
12 00:00:41.980 ⇒ 00:00:44.109 Luke Daque: Yeah. New Year. There, I believe. I guess.
13 00:00:44.700 ⇒ 00:00:50.090 Nicolas Sucari: Yeah, yeah. Well, all my family is here. So we’re spending some time together.
14 00:00:50.390 ⇒ 00:00:51.700 Luke Daque: Are you still there?
15 00:00:51.910 ⇒ 00:00:59.319 Nicolas Sucari: Yeah, yeah, I’m gonna I’m here until next week. I’m coming back to Argentina on Tuesday. I think.
16 00:01:00.330 ⇒ 00:01:01.140 Luke Daque: Nice!
17 00:01:01.850 ⇒ 00:01:07.249 Nicolas Sucari: I mean, it’s really it’s really close to where I am. It’s kind of a 4 h drive.
18 00:01:07.710 ⇒ 00:01:08.780 Luke Daque: Oh, okay.
19 00:01:08.780 ⇒ 00:01:10.020 Nicolas Sucari: On 1 h of both.
20 00:01:10.790 ⇒ 00:01:16.749 Nicolas Sucari: I need to do that, Buddy. If not, if like, I can do everything by car. It’s gonna be like 8 h.
21 00:01:17.040 ⇒ 00:01:18.559 Luke Daque: But I prefer to go in.
22 00:01:18.990 ⇒ 00:01:20.940 Nicolas Sucari: With votes, you drive less.
23 00:01:21.150 ⇒ 00:01:27.289 Luke Daque: Yeah, I also, yeah, more like party or something. I mean.
24 00:01:27.865 ⇒ 00:01:31.480 Luke Daque: to attend this weekend. And then, yeah.
25 00:01:31.480 ⇒ 00:01:31.930 Nicolas Sucari: I agree.
26 00:01:32.060 ⇒ 00:01:33.349 Luke Daque: It should be it.
27 00:01:33.920 ⇒ 00:01:37.860 Nicolas Sucari: But what you’re celebrating like still New Year celebration.
28 00:01:37.860 ⇒ 00:01:51.710 Luke Daque: Yeah, it’s like a birthday celebration. But yeah, it’s it’s just yeah. It’s like New Year slash birthday, I guess, because it’s like from an old friend of mine like, Yeah, college class classmate, basically a close friend
29 00:01:52.480 ⇒ 00:01:54.030 Luke Daque: that’s cool. That’s cool.
30 00:01:54.350 ⇒ 00:02:01.789 Nicolas Sucari: Pretty good, and you’re you’re you’re not at your at your city right like you are traveling right.
31 00:02:02.832 ⇒ 00:02:04.360 Luke Daque: No, I’m I’m we already go back.
32 00:02:04.820 ⇒ 00:02:06.650 Luke Daque: I we already went back. Yeah.
33 00:02:07.250 ⇒ 00:02:07.560 Nicolas Sucari: Okay.
34 00:02:07.560 ⇒ 00:02:09.259 Luke Daque: Again. Yeah.
35 00:02:09.900 ⇒ 00:02:13.370 Nicolas Sucari: That’s fine. That’s fine, cool, great.
36 00:02:13.370 ⇒ 00:02:14.390 Luke Daque: Cool. Yeah.
37 00:02:14.390 ⇒ 00:02:23.067 Nicolas Sucari: So enjoy the weekend. When I mean today. Thursday, it’s kind of weird this week. But yeah, Thursday.
38 00:02:23.550 ⇒ 00:02:24.030 Luke Daque: Yeah.
39 00:02:24.030 ⇒ 00:02:27.420 Nicolas Sucari: Sunday left of the week, and then do enjoy a new weekend.
40 00:02:27.740 ⇒ 00:02:32.970 Luke Daque: Yeah, I guess it’s the official start of 2025 next week, I guess, or something.
41 00:02:32.970 ⇒ 00:02:35.000 Nicolas Sucari: Yeah, I guess. So, yeah.
42 00:02:35.000 ⇒ 00:02:35.480 Luke Daque: Yeah.
43 00:02:35.480 ⇒ 00:02:40.229 Nicolas Sucari: This week is kind of slow, too. Next week everything is gonna be
44 00:02:40.330 ⇒ 00:02:46.765 Nicolas Sucari: app again. So yeah, we should prepare for that. Yeah, cool.
45 00:02:47.520 ⇒ 00:02:52.440 Nicolas Sucari: I met I met with Kim a while ago. Yeah, I thought told me about that.
46 00:02:52.440 ⇒ 00:02:54.009 Luke Daque: Today. But yeah, it looks.
47 00:02:54.010 ⇒ 00:03:00.309 Nicolas Sucari: Yeah, don’t worry. I just yeah. I just texted. I mean she. She sent a message and
48 00:03:00.480 ⇒ 00:03:04.110 Nicolas Sucari: I asked her about it. If she has some time available, you can take care.
49 00:03:04.110 ⇒ 00:03:13.190 Nicolas Sucari: So that’s cool. What I’m what we need to look at is wait. Let me share my screen.
50 00:03:13.990 ⇒ 00:03:17.049 Nicolas Sucari: So she’s looking. She’s focusing on profit.
51 00:03:18.110 ⇒ 00:03:30.320 Nicolas Sucari: and she’s taking the values from the Daily Kpis dashboard. So from here. So let me do previous one complete.
52 00:03:30.510 ⇒ 00:03:34.469 Nicolas Sucari: Yeah. So she’s looking at like these values profit.
53 00:03:34.470 ⇒ 00:03:36.950 Nicolas Sucari: Okay? Yeah, you have. Yes, correctly.
54 00:03:36.950 ⇒ 00:03:37.600 Luke Daque: Yes.
55 00:03:37.600 ⇒ 00:03:43.129 Nicolas Sucari: So. And and we have, like some values that we need to check. So if we go.
56 00:03:43.670 ⇒ 00:03:46.800 Nicolas Sucari: I don’t know why I’m not seeing marketing costs.
57 00:03:47.330 ⇒ 00:03:48.309 Nicolas Sucari: Yeah, so, cute.
58 00:03:48.310 ⇒ 00:03:48.990 Luke Daque: Yeah, total.
59 00:03:48.990 ⇒ 00:03:51.629 Nicolas Sucari: For example, yeah, for example, here there is like.
60 00:03:51.630 ⇒ 00:03:52.060 Luke Daque: Pike.
61 00:03:52.060 ⇒ 00:03:52.910 Nicolas Sucari: I am.
62 00:03:52.910 ⇒ 00:03:53.630 Luke Daque: Hmm.
63 00:03:53.830 ⇒ 00:04:05.189 Nicolas Sucari: Right. So she what she’s like she needs to go back and talk to Ben about profit. Apparently Ben is saying that they were not profitable last month.
64 00:04:05.450 ⇒ 00:04:10.640 Nicolas Sucari: and that’s maybe because of the Black Friday discounts that they gave.
65 00:04:10.930 ⇒ 00:04:11.360 Luke Daque: Yeah.
66 00:04:11.460 ⇒ 00:04:15.670 Nicolas Sucari: Kim is not so sure, and the only source of truth is this report.
67 00:04:15.880 ⇒ 00:04:43.199 Nicolas Sucari: So we need to make sure that these values are accurate but we don’t know if they are accurate. Right? I mean they they own the definitions of each of the measures. So what I asked so what what I told her that we were gonna do is to try. Explain how we’re calculating each of these ones like total sales, total cogs, total discounts. Where are we getting the information from? So that’s why I was trying to create that documentation.
68 00:04:43.580 ⇒ 00:04:44.890 Nicolas Sucari: Yeah. So that’s the 1st
69 00:04:44.890 ⇒ 00:04:59.579 Nicolas Sucari: 1st thing we need to do. I try to explain. Okay, we’re getting total sales. These values are coming from. Shopify Walmart, Amazon, and are all of the I don’t know total, the eaten price of the orders, or I don’t know.
70 00:04:59.580 ⇒ 00:04:59.900 Luke Daque: Yeah.
71 00:04:59.900 ⇒ 00:05:09.379 Nicolas Sucari: How, how this is calculated. So that’s what we need to to do. Like to explain in detail how each of these measures is is calculated.
72 00:05:09.660 ⇒ 00:05:18.629 Nicolas Sucari: And so then they they are gonna tell they are. Gonna tell us if we are missing something, or is, or or or or everything is there right.
73 00:05:19.130 ⇒ 00:05:30.520 Luke Daque: Right? Okay? So I think you did start the notion document for that? Right? Did you? Did you just copy like, like, how did you create that? Did you just copy the code and like, Ask
74 00:05:30.620 ⇒ 00:05:32.070 Luke Daque: AI or something.
75 00:05:32.070 ⇒ 00:05:35.589 Nicolas Sucari: Oh, yeah, yes. The AI look, I,
76 00:05:36.730 ⇒ 00:05:48.679 Nicolas Sucari: okay, I send the Daily Kpi agree. And I want and ask to create the documentation. Yeah, I just changed some some stuff, but that’s essentially it, like what
77 00:05:48.680 ⇒ 00:05:49.230 Nicolas Sucari: like when we
78 00:05:49.230 ⇒ 00:06:00.439 Nicolas Sucari: to do? Obviously, that the chat gpt is not gonna do, it is add, like more details of where are we getting this from? And if we are doing any other calculation on top of it.
79 00:06:01.020 ⇒ 00:06:07.959 Luke Daque: Okay, sounds good. I can. Yeah, I’ll I can update that with with what I mean, I think.
80 00:06:08.220 ⇒ 00:06:12.379 Nicolas Sucari: I think, like these are all the measures that are affecting the profit right.
81 00:06:12.380 ⇒ 00:06:12.880 Luke Daque: Hmm.
82 00:06:12.880 ⇒ 00:06:21.549 Nicolas Sucari: The profit value. Maybe we should add, like the yeah. I tried to add the formula here, but I don’t know why it gave it like these. So I’m gonna just
83 00:06:21.740 ⇒ 00:06:22.850 Nicolas Sucari: 2 major, one.
84 00:06:23.470 ⇒ 00:06:24.100 Luke Daque: Other.
85 00:06:24.100 ⇒ 00:06:27.759 Nicolas Sucari: No, just just to tell, like total profit.
86 00:06:27.880 ⇒ 00:06:31.569 Luke Daque: Equals something like that. Right? With everything.
87 00:06:32.550 ⇒ 00:06:33.560 Luke Daque: Okay, yeah.
88 00:06:34.110 ⇒ 00:06:36.740 Nicolas Sucari: We will save minus costs.
89 00:06:36.850 ⇒ 00:06:38.970 Nicolas Sucari: And then I’m gonna open costs
90 00:06:39.160 ⇒ 00:06:42.099 Nicolas Sucari: or cost include the following, okay, maybe that’s it.
91 00:06:44.450 ⇒ 00:07:14.410 Nicolas Sucari: But yeah, I mean ideally, we need to like, expand these like total revenue. How we are calculating the so the where we’re getting the information from shopify Walmart, Amazon add like this here cost of goods sold the same like, where are we getting the information? And maybe we can add in each of the measures, how often are we getting that information like, if if today is January first, st do do we already have the information from the day before, or like we
92 00:07:14.490 ⇒ 00:07:17.549 Nicolas Sucari: we get some information with some delay. Right?
93 00:07:18.120 ⇒ 00:07:20.499 Nicolas Sucari: We are not try to explain all of that.
94 00:07:21.660 ⇒ 00:07:22.390 Luke Daque: Yeah.
95 00:07:24.520 ⇒ 00:07:24.840 Nicolas Sucari: Okay.
96 00:07:25.590 ⇒ 00:07:29.760 Luke Daque: Yeah, I I can add those details in there as well.
97 00:07:29.760 ⇒ 00:07:37.030 Nicolas Sucari: Yeah, I I thought you. You may know all of that from the modeling. So if you can add that that’s perfect
98 00:07:38.540 ⇒ 00:07:47.319 Nicolas Sucari: and then we need to check yeah, that like all the values that we are getting. For example, the 40 K marketing cost on November 13.th
99 00:07:47.540 ⇒ 00:07:48.520 Luke Daque: You see.
100 00:07:50.228 ⇒ 00:07:55.800 Nicolas Sucari: And see if we have like another big big cost that we need to check.
101 00:07:56.750 ⇒ 00:07:57.220 Luke Daque: Yeah.
102 00:07:57.220 ⇒ 00:08:03.329 Nicolas Sucari: Is affecting profit. For example, here here we have 41 k of profit.
103 00:08:04.110 ⇒ 00:08:05.630 Nicolas Sucari: November 28.
104 00:08:05.850 ⇒ 00:08:06.770 Nicolas Sucari: We have.
105 00:08:07.560 ⇒ 00:08:09.699 Nicolas Sucari: Yeah, but we have, like a lot of sales
106 00:08:10.640 ⇒ 00:08:18.199 Nicolas Sucari: correct. Maybe we need to validate that this number of sales is accurate, because every other day is kind of
107 00:08:18.990 ⇒ 00:08:23.239 Nicolas Sucari: lower. And then we have, like a big MoD of sales.
108 00:08:23.970 ⇒ 00:08:24.750 Luke Daque: Okay.
109 00:08:25.700 ⇒ 00:08:30.410 Nicolas Sucari: And let me check December if there is something odd.
110 00:08:31.570 ⇒ 00:08:32.830 Nicolas Sucari: Don’t think so.
111 00:08:34.179 ⇒ 00:08:36.350 Nicolas Sucari: So we have here 6 K,
112 00:08:36.890 ⇒ 00:08:40.849 Nicolas Sucari: yeah, we have, like a big refound in December 8, th
113 00:08:41.400 ⇒ 00:08:45.860 Nicolas Sucari: like total refund amount is more than total sales. So
114 00:08:46.400 ⇒ 00:08:56.139 Nicolas Sucari: I don’t know how this is impacting us. But maybe we need to explain, like we’re refunding the the refund that we are issuing is it’s not from this
115 00:08:56.725 ⇒ 00:09:03.279 Nicolas Sucari: sales is, maybe from before. So that’s why we have like like that’s those are the things that we need to explain. Right?
116 00:09:03.770 ⇒ 00:09:04.510 Luke Daque: Right.
117 00:09:08.660 ⇒ 00:09:09.350 Nicolas Sucari: Okay.
118 00:09:14.320 ⇒ 00:09:15.850 Luke Daque: Yeah, sounds good.
119 00:09:17.310 ⇒ 00:09:31.029 Nicolas Sucari: And that was her ask, they are focusing a lot on profit. So maybe we should start taking a look into this dashboard Daily Kpis one, and see if we have everything correct there. But yeah, they are looking. They are looking at that.
120 00:09:31.240 ⇒ 00:09:37.323 Luke Daque: Yeah. I wonder if we we should also maybe have some sort of
121 00:09:38.170 ⇒ 00:09:46.210 Luke Daque: way where we get notified? If there are like spikes, for example, like that, like profit spike, or like the marketing or refund spike
122 00:09:46.874 ⇒ 00:09:52.559 Luke Daque: maybe that would also be a great way. So it will be like to identify. Yeah.
123 00:09:52.890 ⇒ 00:10:05.310 Nicolas Sucari: Yeah, yeah, I agree. I don’t know if you if you met with Utam like I don’t. I don’t think it was yesterday or the day before about the alerting stuff. Did you? Did you.
124 00:10:05.310 ⇒ 00:10:07.019 Luke Daque: We haven’t yet. We were supposed.
125 00:10:07.020 ⇒ 00:10:07.440 Nicolas Sucari: Oh, okay.
126 00:10:07.440 ⇒ 00:10:13.289 Luke Daque: One on one yesterday, but he didn’t show up, so I I thought he would be like, maybe he’s probably busy or something.
127 00:10:13.660 ⇒ 00:10:15.110 Nicolas Sucari: Okay. But yeah.
128 00:10:15.710 ⇒ 00:10:24.029 Nicolas Sucari: okay, let me know if if maybe we can ping him today. And at that meeting today, but we need to create that kind of alerting.
129 00:10:24.710 ⇒ 00:10:38.479 Nicolas Sucari: I don’t know, or those notifications in order to see when we are getting the data. And if, like one day, we don’t receive the data that we need to create the reports. Yeah, we get alerted. And if we have, like a spike or something in the measures, also, too
130 00:10:38.480 ⇒ 00:10:38.920 Nicolas Sucari: right.
131 00:10:38.920 ⇒ 00:10:43.950 Nicolas Sucari: Don’t get alerted like that should be something proactive from us, and it will be really good. Yeah.
132 00:10:44.930 ⇒ 00:10:46.050 Luke Daque: Yeah, sounds good.
133 00:10:46.630 ⇒ 00:11:00.070 Nicolas Sucari: Cool. Okay, yeah. So that’s it. I mean, Kim was trying to figure out that. So if we can gave her that document with the details. Then she will get back to us on
134 00:11:00.270 ⇒ 00:11:09.499 Nicolas Sucari: if we are missing something, or if they need something different to calculate the profit. Okay. But 1st of all, we need to explain how we are calculating that.
135 00:11:09.860 ⇒ 00:11:11.472 Luke Daque: Yeah. Sounds. Good.
136 00:11:12.780 ⇒ 00:11:13.370 Luke Daque: Cool. Cool.
137 00:11:13.370 ⇒ 00:11:15.898 Nicolas Sucari: Okay, let me know if you can add those
138 00:11:16.340 ⇒ 00:11:24.000 Nicolas Sucari: and if you need anything else, let me know. And yeah, I’ll I’ll I’ll keep looking into these details and see if I can find anything else. Okay.
139 00:11:24.900 ⇒ 00:11:25.800 Luke Daque: Sounds good.
140 00:11:26.120 ⇒ 00:11:27.580 Luke Daque: Thanks, Nicholas.
141 00:11:28.330 ⇒ 00:11:29.510 Nicolas Sucari: Thanks, Ryan. Bye-bye.
142 00:11:29.510 ⇒ 00:11:32.980 Luke Daque: Yeah, just slack in case. Yeah, we have any.
143 00:11:32.980 ⇒ 00:11:33.640 Nicolas Sucari: Okay.
144 00:11:34.551 ⇒ 00:11:37.169 Luke Daque: Yeah, if I get run into any issues or something.
145 00:11:37.740 ⇒ 00:11:40.740 Nicolas Sucari: Yeah, please let me know, I’m I’m online today.
146 00:11:41.350 ⇒ 00:11:45.110 Luke Daque: Sounds good, thanks, thanks, bye, bye, bye-bye.