Meeting Title: Zoom-Meeting Date: 2024-05-23 Meeting participants: Uttam Kumaran, Patrick Trainer, Nicolas Sucari, Jakob Kagel


WEBVTT

1 00:00:13.230 00:00:14.180 Jakob Kagel: Yo!

2 00:00:16.760 00:00:17.790 Jakob Kagel: Can you hear me?

3 00:00:18.660 00:00:20.099 Jakob Kagel: I can’t hear you.

4 00:00:20.850 00:00:22.620 Nicolas Sucari: I can hear you. Jacob! Hi!

5 00:00:23.300 00:00:24.260 Uttam Kumaran: Have a now.

6 00:00:24.670 00:00:26.260 Jakob Kagel: Now I can’t hear you, Tom.

7 00:00:26.440 00:00:27.010 Nicolas Sucari: Yep.

8 00:00:27.540 00:00:28.390 Uttam Kumaran: Nice?

9 00:00:28.620 00:00:29.850 Uttam Kumaran: How’s everyone?

10 00:00:30.230 00:00:31.739 Jakob Kagel: Doing well, doing well.

11 00:00:33.080 00:00:39.229 Uttam Kumaran: Okay, let’s let’s just jump right into things. So I guess one thing is.

12 00:00:39.330 00:00:44.950 Uttam Kumaran: maybe we’ll just start from the email. So I can just get a little oriented again.

13 00:00:48.550 00:00:50.020 Jakob Kagel: Yeah. Sounds good to me.

14 00:00:50.540 00:00:51.770 Uttam Kumaran: Cool, so

15 00:00:55.983 00:00:56.990 Uttam Kumaran: let’s see

16 00:01:10.430 00:01:13.930 Patrick Trainer: So one quick question, what’s the difference between

17 00:01:14.180 00:01:18.120 Patrick Trainer: in the like 5 trend dot shopify? And then there’s

18 00:01:18.190 00:01:21.949 Patrick Trainer: 5 trend dot shopify, underscore, shopify.

19 00:01:25.620 00:01:31.089 Uttam Kumaran: there’s both 5 Tran shopify raw data and 5 Tran, Dbt transformations.

20 00:01:31.230 00:01:34.389 Uttam Kumaran: I don’t think we’re using any of the Dbt transformation setup.

21 00:01:34.600 00:01:36.869 Uttam Kumaran: Something like Ryan was testing out.

22 00:01:41.540 00:01:42.350 Patrick Trainer: well.

23 00:01:42.790 00:01:43.854 Patrick Trainer: no, I don’t

24 00:01:46.320 00:01:50.970 Patrick Trainer: Like, there’s 2 like there’s 2 tables, like there’s 2 order tables.

25 00:01:52.586 00:01:58.380 Patrick Trainer: there’s 2, 2. Shopify schemas. Sorry. There’s shopify and shopify, shopify.

26 00:01:59.300 00:02:04.560 Uttam Kumaran: Yeah, we just look at what’s updated recently, I’m not. You’d have to go into 5 train and look. I’m not exactly sure right now.

27 00:02:04.560 00:02:06.959 Patrick Trainer: Yeah, they’re they’re both updated at the same.

28 00:02:07.580 00:02:10.600 Uttam Kumaran: There’s one there’s there have 2 shopify instances

29 00:02:12.430 00:02:14.259 Uttam Kumaran: because they have one, for

30 00:02:14.600 00:02:21.549 Uttam Kumaran: they have one for their refunds. The instance they used to do refunds, and they have one. For the instance. They used to

31 00:02:21.560 00:02:23.219 Uttam Kumaran: like sell normally. But

32 00:02:23.960 00:02:25.144 Uttam Kumaran: I guess, like

33 00:02:26.620 00:02:31.209 Uttam Kumaran: I guess let’s just we can start by. Let’s just get through this refund thing, and then we can come back to that.

34 00:02:34.170 00:02:35.650 Uttam Kumaran: So okay.

35 00:02:35.990 00:02:37.610 Uttam Kumaran: you guys can see this.

36 00:02:42.030 00:02:43.770 Uttam Kumaran: is this too big or too small?

37 00:02:49.690 00:02:53.690 Nicolas Sucari: I can see it. It’s a little bit small. But, Patrick, I think Patrick left.

38 00:02:53.970 00:02:54.610 Uttam Kumaran: Okay.

39 00:02:56.150 00:02:57.670 Uttam Kumaran: let me share this side.

40 00:02:57.840 00:02:58.850 Uttam Kumaran: Otherwise.

41 00:02:59.900 00:03:01.230 Uttam Kumaran: can you guys see this? Now?

42 00:03:07.120 00:03:08.500 Uttam Kumaran: Okay, cool. So

43 00:03:10.086 00:03:17.509 Uttam Kumaran: great. So we walked through. And we basically were like, Okay, here’s like the rough number of like where refunds come from. Ben was like.

44 00:03:18.090 00:03:22.680 Uttam Kumaran: they’re helpful but not surprising. These need to be normalized and measured in sales volume.

45 00:03:23.070 00:03:26.279 Uttam Kumaran: It’s a percent of refunds against sales are on the same.

46 00:03:26.560 00:03:30.169 Uttam Kumaran: Sure. Here’s the percent of sales for the month of May.

47 00:03:31.280 00:03:36.290 Uttam Kumaran: If we restrict this to inbound pool pumps?

48 00:03:37.564 00:03:40.610 Uttam Kumaran: It looks like the Midwest is a higher percentage. So

49 00:03:40.660 00:03:46.690 Uttam Kumaran: it’s not the South. But can we go to reason why these are returned. So that’s the initial. Ask.

50 00:03:46.690 00:03:47.589 Jakob Kagel: Right, right.

51 00:03:49.200 00:03:50.220 Uttam Kumaran: So

52 00:03:51.910 00:03:53.414 Uttam Kumaran: if we look at

53 00:03:53.910 00:03:55.440 Uttam Kumaran: all orders.

54 00:03:58.470 00:03:59.700 Uttam Kumaran: hold on! Let me just

55 00:03:59.810 00:04:00.950 Uttam Kumaran: get into there.

56 00:04:10.710 00:04:16.271 Jakob Kagel: Yeah, I mean, I don’t know. In my opinion, it’s like the percent of sales is refunded is

57 00:04:16.660 00:04:28.859 Jakob Kagel: still not really that important. I mean, it’s really like the South, like the whole region, you know, it’s still gonna cost you the most, even if they have, like the lowest or second lowest percentage of.

58 00:04:29.060 00:04:31.719 Jakob Kagel: you know, sales that are refunded. It’s like

59 00:04:32.100 00:04:36.579 Jakob Kagel: if they’re still returning so many more items, then it’s like, I don’t know.

60 00:04:36.580 00:04:38.434 Uttam Kumaran: But I think the point is that

61 00:04:38.900 00:04:42.290 Uttam Kumaran: there’s always gonna be a base level of like return rate.

62 00:04:42.290 00:04:43.330 Jakob Kagel: Right.

63 00:04:43.330 00:04:47.890 Uttam Kumaran: So if that’s that’s if, like, that base level is

64 00:04:48.680 00:04:54.369 Uttam Kumaran: like whatever it is like, if we’re like, cool, the base level is 6%

65 00:04:54.900 00:04:57.180 Uttam Kumaran: or so as a percentage of sales

66 00:04:57.410 00:05:00.190 Uttam Kumaran: great. But then you can see that

67 00:05:00.280 00:05:02.559 Uttam Kumaran: just for this skew.

68 00:05:03.300 00:05:08.070 Uttam Kumaran: like, it’s a lot higher in the West and midwest. So that’s the question is like.

69 00:05:08.070 00:05:17.650 Jakob Kagel: Yeah, I mean, I’m not saying it’s completely not useful. But like, I think, like the West, or something is like 6% of sales, or something like I don’t think it’s that much like so.

70 00:05:17.650 00:05:18.669 Uttam Kumaran: I see.

71 00:05:18.670 00:05:20.911 Jakob Kagel: That, that’s all I’m saying.

72 00:05:21.520 00:05:35.689 Jakob Kagel: and yeah, I may have to check that. So don’t you know? Don’t quote me on that. It’s 13. But it’s still like it’s the smallest region. So you just have like a smaller sample size. So it’s even if you have.

73 00:05:36.030 00:05:42.599 Jakob Kagel: you know, whatever a higher percent. But it’s still maybe only marginally more like, you know, because.

74 00:05:42.600 00:05:43.310 Uttam Kumaran: Chef.

75 00:05:43.310 00:05:44.620 Jakob Kagel: Smaller Sample anyway.

76 00:05:44.620 00:05:46.139 Uttam Kumaran: I think the one thing that we can do for.

77 00:05:46.140 00:05:48.740 Jakob Kagel: We just give them whatever they ask for, you know I mean.

78 00:05:48.740 00:05:53.169 Uttam Kumaran: No, no, I I think that’s a valid point, like I don’t mind. I don’t mind going back and forth with them. I think.

79 00:05:53.170 00:06:05.639 Jakob Kagel: I I don’t want to go back and forth with them. I mean, I’m just giving my opinion, I mean, yeah, it depends. I mean if they really want us to like, give advice, or whatever I mean, we can. We can do that. But.

80 00:06:05.990 00:06:10.590 Uttam Kumaran: No, but then are like like, the question is, are there anomalies here?

81 00:06:10.780 00:06:12.899 Uttam Kumaran: So we can go a layer deeper?

82 00:06:13.100 00:06:17.839 Uttam Kumaran: And then the question was, can we go to refund reason? So that’s what I want to get to is like.

83 00:06:17.920 00:06:19.050 Uttam Kumaran: can we do that?

84 00:06:19.280 00:06:24.689 Jakob Kagel: And I did that. I have, like all the refund reasons, and I can tell you what the breakouts are.

85 00:06:26.650 00:06:29.019 Uttam Kumaran: Yeah, because I’m looking at just stuff with

86 00:06:30.030 00:06:33.050 Uttam Kumaran: like these are the refund reasons from all orders.

87 00:06:33.490 00:06:36.524 Uttam Kumaran: So I guess I could just filter to stuff with a

88 00:06:36.800 00:06:38.410 Jakob Kagel: That’s what I did. Yeah, I mean.

89 00:06:38.640 00:06:39.470 Uttam Kumaran: Refund.

90 00:06:39.710 00:06:43.919 Jakob Kagel: I just have to find. So I just had to find the sheet that I have so many sheets.

91 00:06:46.790 00:06:49.149 Jakob Kagel: yeah. So for, like

92 00:06:49.680 00:06:59.769 Jakob Kagel: overall like a refund. Reason like this is just for the entire like. May 2013, it was like 30 was like customer request.

93 00:06:59.780 00:07:12.289 Jakob Kagel: which would just be like they change their mind. Or like it just said like customer requested return like things like that. Things. There was not like a lot of detail.

94 00:07:12.320 00:07:20.159 Jakob Kagel: and then it was like 21 said they didn’t need it. 20 said Compat. Not compatible, or was damaged.

95 00:07:20.360 00:07:27.490 Jakob Kagel: 15% said wrong item. And those are the main 4 5 warranty.

96 00:07:27.670 00:07:30.812 Jakob Kagel: like 3% fraud like

97 00:07:32.180 00:07:45.910 Jakob Kagel: But that’s just basically what I was just gonna share with them. I mean, the thing is that like, we just don’t have that much coverage for the re return reasons. So it’s like you have to take it with a grain of salt because it’s not. There’s not a return reason for every order. In fact, there’s a lot of nulls

98 00:07:45.930 00:07:46.960 Jakob Kagel: so.

99 00:07:46.960 00:07:52.160 Uttam Kumaran: So that’s what I wanna work on next is like the return. Reason is what they put in.

100 00:07:52.621 00:07:55.789 Uttam Kumaran: But even if they don’t put in a reason

101 00:07:56.250 00:08:00.980 Uttam Kumaran: we can gather, we can at least probably estimate the reason by looking at it back and forth

102 00:08:01.130 00:08:02.380 Uttam Kumaran: right like from a ticket.

103 00:08:02.380 00:08:03.919 Jakob Kagel: This ticket? Yeah.

104 00:08:04.150 00:08:04.620 Jakob Kagel: that’s.

105 00:08:04.620 00:08:08.932 Uttam Kumaran: That’s what that’s what I want to get to, because I don’t see why we can’t end up doing.

106 00:08:09.160 00:08:27.610 Jakob Kagel: I mean, the way that we can do that is like we have email. So the ticket tables, from what I’ve remembered, like looking at it has email. And I think we can map that to our customer table on email. And I think we can map to the order on email because every order has to have an email. I’m pretty sure.

107 00:08:27.610 00:08:28.150 Uttam Kumaran: Yeah.

108 00:08:29.371 00:08:31.878 Jakob Kagel: So we can do that.

109 00:08:32.960 00:08:35.751 Jakob Kagel: yeah, I can. I can do that. Probably.

110 00:08:36.100 00:08:39.652 Uttam Kumaran: So let me. Let’s look at. Let’s look at just one. Let’s look at just like one example.

111 00:08:39.850 00:08:40.640 Jakob Kagel: Sure.

112 00:08:41.313 00:08:44.999 Uttam Kumaran: So what I did here is like, I’m in real. I basically clicked on

113 00:08:45.570 00:08:47.250 Uttam Kumaran: everything that has a refund.

114 00:08:47.270 00:08:49.619 Uttam Kumaran: The problem is, there’s also things

115 00:08:49.680 00:08:52.359 Uttam Kumaran: that don’t, that are null has refund.

116 00:08:52.570 00:08:53.460 Jakob Kagel: Right.

117 00:08:53.760 00:08:54.406 Uttam Kumaran: So let’s

118 00:08:54.730 00:08:57.140 Jakob Kagel: That’s what I mean. I put a ticket in for that.

119 00:08:57.140 00:08:58.531 Uttam Kumaran: Oh, okay. Okay. Cool. Alright.

120 00:08:58.810 00:09:08.029 Jakob Kagel: Already. Yeah, as well. I mean, what about I saw is like, it’s not like a overwhelming number. But it’s like over 1,100 or something.

121 00:09:08.030 00:09:09.213 Uttam Kumaran: Yeah, yeah, it looks like.

122 00:09:09.450 00:09:14.460 Jakob Kagel: $500,000 worth of order value or something. And I mean, you still like.

123 00:09:14.800 00:09:16.809 Jakob Kagel: yeah, I mean, you can still catch.

124 00:09:16.810 00:09:19.100 Uttam Kumaran: Yeah, I don’t think it’s good as you are like.

125 00:09:19.150 00:09:21.579 Uttam Kumaran: if we’re just giving a broad statement about it.

126 00:09:21.580 00:09:25.849 Jakob Kagel: Kind of weird. I mean, it’s like, when you see stuff like that in the table. It just like

127 00:09:26.270 00:09:32.329 Jakob Kagel: it makes me uncomfortable, kinda cause. It’s just like a data integrity thing. It’s like, why are these ones not like, you know.

128 00:09:32.330 00:09:34.260 Uttam Kumaran: But then that’s our. That’s our problem. Right? Like.

129 00:09:34.260 00:09:38.440 Jakob Kagel: Exactly, and that’s we have to like double check and be careful.

130 00:09:38.440 00:09:39.590 Uttam Kumaran: Yeah, yeah.

131 00:09:40.310 00:09:43.929 Uttam Kumaran: So let’s look at like one of these customer changed mind ones.

132 00:09:43.940 00:09:46.750 Uttam Kumaran: And like, this, one is like this, 5, 3, 8, one.

133 00:09:46.880 00:09:47.920 Uttam Kumaran: So let’s

134 00:09:48.380 00:09:50.070 Uttam Kumaran: go into shopify.

135 00:09:51.150 00:09:52.409 Uttam Kumaran: Do I log in here.

136 00:09:54.210 00:09:58.136 Jakob Kagel: Well, here, do you want me to like pull a specific order number that like

137 00:09:59.270 00:10:10.290 Jakob Kagel: like pull specific order number that doesn’t have a re return reason and see if we can find a Zendesk ticket like to match it, or I can pull like a couple right, and we can try those as examples, or what do you better try to do.

138 00:10:10.290 00:10:15.879 Uttam Kumaran: Yeah, if you want to pull one up on your side, I was gonna do both. Basically, I was, gonna go look at one and then go look at another one.

139 00:10:15.880 00:10:23.179 Jakob Kagel: I can just pull one. I mean, I’ll just pull order. That doesn’t have a like. I’ll pull a couple of orders that don’t have return reasons.

140 00:10:23.630 00:10:29.400 Jakob Kagel: and we can try to see if they have Zendesk tickets. We can probably find one if we just, you know, try a couple real quick.

141 00:10:29.630 00:10:30.220 Uttam Kumaran: Okay.

142 00:10:30.460 00:10:31.429 Jakob Kagel: Let me see.

143 00:10:39.790 00:10:41.740 Uttam Kumaran: Okay, so this one is refunded.

144 00:10:43.500 00:10:48.310 Uttam Kumaran: Reason, customer changed mine. So let’s go look up this person in

145 00:10:48.470 00:10:49.750 Uttam Kumaran: Zendesk.

146 00:10:54.000 00:10:56.369 Jakob Kagel: Oh, yeah, I pulled up some orders here, so

147 00:10:56.560 00:10:59.259 Jakob Kagel: I’ll just throw them in the chat just in case.

148 00:10:59.260 00:10:59.660 Uttam Kumaran: Aye.

149 00:11:04.100 00:11:06.780 Jakob Kagel: And these are specifically for that month, anyway.

150 00:11:12.300 00:11:13.220 Uttam Kumaran: Okay, so

151 00:11:14.090 00:11:15.840 Uttam Kumaran: let’s look at this person.

152 00:11:19.340 00:11:20.100 Uttam Kumaran: Aye.

153 00:11:26.380 00:11:29.689 Jakob Kagel: So we know that this person doesn’t have like, has refund.

154 00:11:30.180 00:11:32.930 Uttam Kumaran: No, no! This person has a refund reason. So it’s this one.

155 00:11:33.160 00:11:37.249 Jakob Kagel: They do have a refund reason, but you’re seeing if they have additional sort of insights in the tickets.

156 00:11:37.410 00:11:39.880 Uttam Kumaran: Exactly so. Their refund reason is customer change.

157 00:11:39.880 00:11:47.549 Jakob Kagel: Okay. Okay, yeah, alright. That makes sense. Yeah, I mean, let’s do that. And then let’s also see, maybe if we have some that don’t even have a refund reason to have.

158 00:11:47.550 00:11:47.970 Uttam Kumaran: Yeah.

159 00:11:47.970 00:11:48.929 Jakob Kagel: I see a.

160 00:11:49.480 00:11:52.310 Uttam Kumaran: So this person looks like they ordered, and then

161 00:11:52.410 00:11:55.990 Uttam Kumaran: refunded the reason this customer changed mine. Go to the ticket.

162 00:11:56.180 00:11:59.980 Uttam Kumaran: What’s a returns policy? I needed a 2 speed. Do not realize one speed.

163 00:12:01.890 00:12:03.310 Uttam Kumaran: have not opened it.

164 00:12:03.560 00:12:05.270 Uttam Kumaran: Here’s a return label.

165 00:12:05.410 00:12:07.090 Uttam Kumaran: Do you carry 2? Speed

166 00:12:07.920 00:12:12.449 Uttam Kumaran: did not even get back. Oh, we currently only have 1, 2 speed pump.

167 00:12:12.890 00:12:16.410 Uttam Kumaran: please know this is for above grill will not work for in ground pools.

168 00:12:17.060 00:12:18.740 Uttam Kumaran: and then it looks like

169 00:12:19.070 00:12:21.430 Uttam Kumaran: the next one was basically

170 00:12:22.570 00:12:24.580 Uttam Kumaran: here the return is submitted.

171 00:12:24.720 00:12:25.235 Jakob Kagel: Okay.

172 00:12:26.192 00:12:27.960 Uttam Kumaran: Customer changed mine, but

173 00:12:28.520 00:12:29.490 Uttam Kumaran: like.

174 00:12:29.490 00:12:31.255 Jakob Kagel: It has a lot more context.

175 00:12:31.550 00:12:39.310 Uttam Kumaran: What I’m saying is like, what would. This is what I wanted to do overall before we get into AI, thing is basically say, can we think of like?

176 00:12:39.910 00:12:42.609 Uttam Kumaran: I mean, we saw just 5 like categories.

177 00:12:42.610 00:12:43.030 Jakob Kagel: Yeah.

178 00:12:43.030 00:12:50.590 Uttam Kumaran: If there’s like, if there’s like A and we can put everything else other. And then we can basically go on 80, 20, that, too. So it’s like, we basically probably have like.

179 00:12:50.950 00:12:51.310 Jakob Kagel: Like.

180 00:12:51.310 00:12:52.710 Uttam Kumaran: This, yeah.

181 00:12:53.130 00:13:08.212 Jakob Kagel: Paste the order number and the ticket number like into the chat. Real quick and then just so I can save them. So then, when I do like, do the mapping on email like I can just sort of like validate against this example is good.

182 00:13:08.520 00:13:10.440 Uttam Kumaran: Send it in I’ll send in slack.

183 00:13:10.440 00:13:12.020 Jakob Kagel: Sure. Yeah, that’s fine.

184 00:13:12.655 00:13:13.780 Uttam Kumaran: Let me go.

185 00:13:21.850 00:13:23.329 Uttam Kumaran: I’ll just start a thread in here.

186 00:13:25.720 00:13:27.149 Jakob Kagel: Yeah. No worries, sounds, great.

187 00:13:28.603 00:13:30.030 Uttam Kumaran: Thread for.

188 00:13:31.130 00:13:32.670 Jakob Kagel: I mean, I think we can

189 00:13:32.770 00:13:40.107 Jakob Kagel: like yeah, I don’t know. Do you? Wanna do you want me to to do you wanna wait, then, to see if we can do the stitching before.

190 00:13:40.360 00:13:43.889 Uttam Kumaran: I mean, let’s just let’s keep going through it today. I just want to go through this now cause.

191 00:13:43.890 00:13:44.710 Jakob Kagel: Right. But I’m saying.

192 00:13:44.710 00:13:46.230 Uttam Kumaran: Haven’t seen. Yeah.

193 00:13:46.230 00:13:54.850 Jakob Kagel: Oh, sorry I didn’t mean to cut you off. I was just saying like, Yeah, did you want me to share like the groupings that I already had for the return reasons like we know that those come from Zendesk.

194 00:13:55.240 00:14:02.360 Jakob Kagel: I mean, obviously, I think we can. I we can also just mention like in the email that like, we’re working on stitching the tickets

195 00:14:03.560 00:14:07.362 Jakob Kagel: and say, like, basically, we’ll have that as a follow up like in the neat.

196 00:14:07.600 00:14:09.380 Uttam Kumaran: That’s perfect. That’s perfect, like.

197 00:14:09.380 00:14:10.600 Jakob Kagel: Like that.

198 00:14:10.600 00:14:13.150 Uttam Kumaran: I think I think again, every step of the way

199 00:14:13.220 00:14:24.039 Uttam Kumaran: we should be like cool. There’s a little bit more added work, but like we? We glanced and we looked at everything for May. Here’s roughly categories. The next thing we’re gonna do is basically do

200 00:14:24.380 00:14:28.670 Uttam Kumaran: kind of like, look at the refund reasons and try to do the stitching. I think that’s like.

201 00:14:28.670 00:14:31.509 Jakob Kagel: Yeah, okay. Well, yeah, I’ll send that out. Then. Yeah.

202 00:14:31.730 00:14:42.499 Uttam Kumaran: Yeah, because the nice thing is, once we get down through this, all this thing on returns and refunds, all of our data models get more accurate, because, like, we’re finding some issues. And then

203 00:14:42.800 00:14:49.660 Uttam Kumaran: now, we can start to set alerts on like, Hey, anytime, there’s like a percentage of sales month where the refund was above, like

204 00:14:50.420 00:14:52.349 Uttam Kumaran: like 15%.

205 00:14:52.350 00:14:52.870 Jakob Kagel: Right.

206 00:14:52.870 00:14:55.340 Uttam Kumaran: Be like, what’s what happened? Right? That’s the

207 00:14:55.540 00:15:04.440 Uttam Kumaran: that’s the upper bound of like we go from not knowing anything to like having a historical understanding. Then, being like proactively, we get a flag

208 00:15:04.800 00:15:24.030 Uttam Kumaran: right? And then we just go. We just go item by item, domain by domain, and then catch those which is, which is sick like I think that’s exactly is. Then we don’t have to wait to be like every month. Look at it. We only catch it when it’s like above 15, because then there’s that’s an issue. Otherwise we’re holding on like, Oh, we’re we’re fine with anywhere from 6 to 10, you know.

209 00:15:24.150 00:15:26.129 Jakob Kagel: Right no, no, for sure.

210 00:15:26.130 00:15:28.610 Uttam Kumaran: Yeah. Okay, so let’s look at one with that one.

211 00:15:28.610 00:15:31.429 Jakob Kagel: Yeah, those are the all the ones in the chat don’t have a refund.

212 00:15:31.430 00:15:32.350 Uttam Kumaran: Oh, okay.

213 00:15:32.350 00:15:39.130 Jakob Kagel: So you charge. Try. I don’t know. I I don’t really know a better way than just to try my random, I guess right to see if they have tickets.

214 00:15:39.130 00:15:40.430 Uttam Kumaran: Yeah, let’s just do that.

215 00:15:41.620 00:15:45.779 Uttam Kumaran: I think it’s good to go through this flow, too, because this is kind of like what I what I do.

216 00:15:45.780 00:15:47.039 Jakob Kagel: Yeah, no, definitely.

217 00:15:47.720 00:15:48.569 Uttam Kumaran: Go here.

218 00:15:53.960 00:15:58.689 Uttam Kumaran: Okay. Doesn’t look like there’s a refund in this shopify. But let’s look in. Send desk.

219 00:16:05.930 00:16:08.709 Jakob Kagel: Okay, it looks like they have a ticket, right or no.

220 00:16:09.160 00:16:09.910 Uttam Kumaran: Yeah.

221 00:16:14.160 00:16:15.650 Uttam Kumaran: so this is a replacement.

222 00:16:16.640 00:16:18.720 Jakob Kagel: Okay, interesting.

223 00:16:19.080 00:16:20.010 Jakob Kagel: Okay.

224 00:16:20.660 00:16:26.420 Uttam Kumaran: Checked all voltages work great at first, but now, having issues within the 8 to 10 weeks, so it looks like

225 00:16:31.960 00:16:33.689 Uttam Kumaran: wait. So when was this sent

226 00:16:33.860 00:16:36.450 Uttam Kumaran: October ninth. Okay, so this is July tenth.

227 00:16:37.400 00:16:43.190 Jakob Kagel: Okay, sorry, I put in the query. Here, let me pull the orders again, because I put in

228 00:16:43.886 00:16:45.496 Jakob Kagel: accidentally put in

229 00:16:48.700 00:16:52.605 Jakob Kagel: has refund as false, instead of refund reason, as false, so.

230 00:16:52.960 00:16:53.490 Uttam Kumaran: Okay.

231 00:16:53.490 00:16:54.269 Jakob Kagel: That’s what we know.

232 00:16:54.270 00:16:54.850 Uttam Kumaran: I don’t think.

233 00:16:54.850 00:16:55.710 Jakob Kagel: Yeah.

234 00:16:57.085 00:16:57.520 Jakob Kagel: Just.

235 00:16:59.670 00:17:04.099 Uttam Kumaran: Nothing out of the ordinary, unfortunately, cannot look at sales order. Any help will be appreciated. Great.

236 00:17:04.290 00:17:04.950 Jakob Kagel: Them.

237 00:17:04.960 00:17:06.269 Uttam Kumaran: And what happened here.

238 00:17:11.970 00:17:14.660 Jakob Kagel: Okay, here, yeah, let’s look at these instead.

239 00:17:26.650 00:17:28.430 Jakob Kagel: Well, I just drop them in the chat.

240 00:17:29.030 00:17:32.379 Uttam Kumaran: Did the the issue with this one look is like it. It failed again.

241 00:17:33.740 00:17:34.640 Jakob Kagel: Right.

242 00:17:34.640 00:17:38.839 Uttam Kumaran: Purchase the pool pump had to replace that one. Now the replacement is not working.

243 00:17:38.840 00:17:45.130 Jakob Kagel: But that’s interesting, though, too, that this one was has refund is not is false.

244 00:17:45.780 00:17:46.330 Jakob Kagel: Please.

245 00:17:46.330 00:17:47.574 Uttam Kumaran: I guess it’s

246 00:17:48.150 00:17:48.940 Uttam Kumaran: It’s funny.

247 00:17:48.940 00:17:54.179 Nicolas Sucari: But it’s not. Yeah. It’s not a refund, it’s a replacement. So probably you’re not getting like

248 00:17:54.520 00:17:56.560 Nicolas Sucari: the money back. That’s why I did right.

249 00:17:56.560 00:17:59.120 Uttam Kumaran: And then I’ll show you even one more thing. There’s actually.

250 00:17:59.120 00:18:06.489 Jakob Kagel: But if it’s a replacement, I mean, I get it’s not the same as a refund, but it’s still like basically an L for them right, because they have.

251 00:18:06.490 00:18:12.350 Uttam Kumaran: No, no, no, totally totally. I think the other thing I’ll show you, though, is this probably show? So they have 2 shopifys.

252 00:18:12.550 00:18:14.289 Jakob Kagel: Right the blue torrent, and then.

253 00:18:14.580 00:18:19.040 Uttam Kumaran: It’s probably gonna show up in the blue torn under this guy’s name. Right? This guy’s Greg Pugh.

254 00:18:19.310 00:18:20.479 Uttam Kumaran: you know. Look them up.

255 00:18:25.390 00:18:26.670 Uttam Kumaran: Maybe not

256 00:18:35.220 00:18:36.350 Uttam Kumaran: you.

257 00:18:47.570 00:18:48.620 Uttam Kumaran: one of which one

258 00:18:53.030 00:18:54.260 Uttam Kumaran: maybe not.

259 00:18:55.920 00:18:57.090 Jakob Kagel: Interesting.

260 00:19:02.720 00:19:04.270 Uttam Kumaran: Okay, purchase pool pump.

261 00:19:04.330 00:19:09.170 Uttam Kumaran: How can you? Elaborate motor won’t come on, is it making humming? Blah, blah! Blah!

262 00:19:26.060 00:19:29.389 Jakob Kagel: Yeah, I mean, this is definitely something that we should like.

263 00:19:29.690 00:19:33.319 Jakob Kagel: tried like, maybe bring to their attention and try to solve for them

264 00:19:33.460 00:19:36.920 Jakob Kagel: like this sort of replacement and refund

265 00:19:37.000 00:19:41.239 Jakob Kagel: like either having a flag for it, I mean, how do we determine

266 00:19:42.110 00:19:46.619 Jakob Kagel: like, how? How was the do you know what the logic is for has refund.

267 00:19:47.150 00:19:48.759 Uttam Kumaran: That’s so. This last one.

268 00:19:48.760 00:19:50.319 Jakob Kagel: But through the process.

269 00:19:50.320 00:19:54.940 Uttam Kumaran: I’ll we’d go through that right now, cause I wrote it. I probably wrote it 6 months ago, and so I’ve.

270 00:19:54.940 00:19:56.170 Jakob Kagel: Yeah. No worries.

271 00:19:56.170 00:19:59.336 Uttam Kumaran: Nope, I don’t include anything

272 00:20:00.730 00:20:03.813 Uttam Kumaran: like I probably wrote it at like one am 6 months ago.

273 00:20:07.905 00:20:10.560 Uttam Kumaran: I just wanna look up this last order here.

274 00:20:11.666 00:20:12.220 Jakob Kagel: No worries.

275 00:20:13.180 00:20:13.660 Uttam Kumaran: It’s and.

276 00:20:13.660 00:20:17.179 Nicolas Sucari: Last order is like the second time they send

277 00:20:17.640 00:20:18.940 Nicolas Sucari: replacement right.

278 00:20:19.370 00:20:21.570 Uttam Kumaran: Yeah, like this was the replacement

279 00:20:28.440 00:20:31.086 Uttam Kumaran: and you could see. But see what they did.

280 00:20:31.490 00:20:34.260 Uttam Kumaran: Jacob, is they? It’s a hundred percent discount.

281 00:20:34.830 00:20:35.370 Jakob Kagel: Right.

282 00:20:36.720 00:20:37.070 Jakob Kagel: Is, the.

283 00:20:37.070 00:20:40.579 Uttam Kumaran: The problem that we determined when we did the warranty analysis.

284 00:20:41.030 00:20:41.490 Jakob Kagel: Yeah.

285 00:20:41.550 00:20:46.189 Uttam Kumaran: They’re marking. They’re marking some of the replacements as a hundred percent warranty.

286 00:20:47.190 00:20:50.839 Uttam Kumaran: That’s a hundred percent discounts meaning their discount rate is getting inflated.

287 00:20:50.840 00:21:01.890 Jakob Kagel: I mean, I don’t know with like with the warranty like. Does that? Does the manufacturer at the end of the day have to bear that cost, I mean, or do they have to bear it like cause? They’re selling the product

288 00:21:02.690 00:21:10.830 Jakob Kagel: like, do they? Is that why they’re marking it that way is cause like they can just send it back to whoever the supplier is, or manufacturer, or whatever.

289 00:21:10.830 00:21:12.210 Uttam Kumaran: They’re the manufacturer.

290 00:21:12.360 00:21:13.440 Jakob Kagel: Really, okay.

291 00:21:13.440 00:21:15.229 Uttam Kumaran: Yeah, they manufacture all these.

292 00:21:16.910 00:21:18.340 Uttam Kumaran: So they eat the cough.

293 00:21:18.340 00:21:23.139 Jakob Kagel: Have like a like in China, or something like I mean, what do you mean? Exactly like.

294 00:21:23.140 00:21:26.580 Uttam Kumaran: Like there’s no other. They’re manufactured in China, but

295 00:21:26.590 00:21:32.259 Uttam Kumaran: there’s no other like they. They build all the products like that’s their. It’s their factory.

296 00:21:32.340 00:21:34.339 Uttam Kumaran: so they they eat the cost.

297 00:21:34.340 00:21:36.079 Jakob Kagel: Alright. Okay. Sure. Yeah.

298 00:21:36.080 00:21:39.920 Uttam Kumaran: But I guess the problem is is like this, discount is actually not a discount.

299 00:21:40.000 00:21:42.590 Uttam Kumaran: It’s a boring meeting. This should be a.

300 00:21:42.650 00:21:44.479 Uttam Kumaran: This should actually come out of like

301 00:21:44.990 00:21:51.509 Uttam Kumaran: sales or cost of good soul. So the one things we know we noted when when we when we did this warranty analysis.

302 00:21:52.242 00:21:58.129 Uttam Kumaran: One thing that we saw was warranties are being reported as a hundred discounted sales.

303 00:21:58.130 00:21:58.930 Jakob Kagel: Right.

304 00:21:58.930 00:22:03.419 Uttam Kumaran: Inflate this. This inflates gross sales because that is marked as another sale.

305 00:22:03.790 00:22:07.279 Uttam Kumaran: another order, and it’s a higher discount amount.

306 00:22:07.920 00:22:17.439 Uttam Kumaran: So instead, what we were trying to do, which again, we just haven’t like followed up on is, we told Cody, that what we should do is we should have a warranty skew

307 00:22:17.630 00:22:19.920 Uttam Kumaran: that’s sold as a $0 item.

308 00:22:20.560 00:22:28.889 Uttam Kumaran: and then basically ha! It has no effect on the sales or total discounts. And then we can flag all those as warranty orders, and take them out of total orders.

309 00:22:29.070 00:22:29.860 Jakob Kagel: Okay.

310 00:22:30.490 00:22:39.080 Uttam Kumaran: But this is a this is like a. This is like kind of why we went into ref returns and refunds because I wanted to wrap this both these sections up and like, what are we gonna do with all this?

311 00:22:39.629 00:22:42.919 Uttam Kumaran: Let me look at your next. Let me look at something from your next list.

312 00:22:43.490 00:22:46.500 Jakob Kagel: Yeah, these are the ones that don’t have refunds.

313 00:22:46.700 00:22:48.460 Jakob Kagel: so we can see.

314 00:22:49.460 00:22:55.979 Jakob Kagel: or they don’t have a refund reason. Rather sorry they are refunds, but don’t have a refund reason.

315 00:22:56.130 00:22:58.360 Uttam Kumaran: Okay. So this one is to

316 00:22:59.400 00:23:02.639 Uttam Kumaran: Alex grow. And then let’s look up.

317 00:23:12.880 00:23:14.170 Uttam Kumaran: pump this year. Okay.

318 00:23:16.250 00:23:18.120 Uttam Kumaran: I have a model I bought.

319 00:23:18.180 00:23:24.759 Uttam Kumaran: I fired it up, and it was working great while I had to filter after turning off the pump and changing up to backwash a pump would work

320 00:23:25.030 00:23:26.470 Uttam Kumaran: blah blah blah

321 00:23:26.930 00:23:29.049 Uttam Kumaran: just looks like it’s fucked up.

322 00:23:29.370 00:23:34.038 Jakob Kagel: Right. But okay, but this is a good example, I guess, of one that has

323 00:23:34.570 00:23:39.139 Jakob Kagel: like that doesn’t have a ha like a refund reason, but has a ticket.

324 00:23:39.450 00:23:41.810 Uttam Kumaran: Yeah, and I don’t even know where.

325 00:23:41.810 00:23:43.240 Jakob Kagel: We can do. Yeah.

326 00:23:44.230 00:23:45.190 Uttam Kumaran: Yeah, like.

327 00:23:45.960 00:23:50.859 Uttam Kumaran: so that’s this is where something, what? What? Ideally, I want to do. And actually.

328 00:23:51.130 00:23:55.619 Uttam Kumaran: again, we just need the car of time to end up going and doing. It is basically taking this

329 00:23:56.540 00:24:03.570 Uttam Kumaran: and just shoving it in Chat Gpt, which, if we were to copy paste, it would tell us, like what this, basically, what the thing is, and.

330 00:24:03.570 00:24:21.120 Jakob Kagel: Only, yeah, the only issue is like, this is the issue. Right? Is like, we join on email and not on order. Id. So you’re gonna get all of the tickets for that customer, but you won’t be able to map them to the order necessarily. So

331 00:24:22.290 00:24:23.650 Jakob Kagel: it’s like.

332 00:24:24.000 00:24:27.659 Jakob Kagel: I mean, it’s not like the huge issue kind of, but

333 00:24:28.130 00:24:34.470 Jakob Kagel: cause you can restrict it by the time range to like, at least for this analysis, like, which is reasonable.

334 00:24:34.470 00:24:38.850 Uttam Kumaran: I think I think what we would look for is we would look for how many have a double

335 00:24:39.580 00:24:41.359 Uttam Kumaran: like? How many have.

336 00:24:41.640 00:24:46.319 Uttam Kumaran: for example, in that other guys case he had one. He had 2 replacements.

337 00:24:46.320 00:24:47.160 Jakob Kagel: Yeah.

338 00:24:47.430 00:24:50.110 Uttam Kumaran: So you’re right in that situation where

339 00:24:50.290 00:24:55.199 Uttam Kumaran: we would almost need to like we just have some. We just need to have a little bit more complex join line.

340 00:24:55.200 00:24:55.870 Jakob Kagel: Yeah.

341 00:24:56.230 00:25:07.929 Jakob Kagel: I mean, it would be ideal, like, I feel like the tickets. And I mean, like, we’re look, you’re looking it up by order. Sorry the screens really small, so I can’t really see. But you’re looking it up by order number right in Zendesk.

342 00:25:08.090 00:25:08.845 Uttam Kumaran: Yes, let me

343 00:25:09.350 00:25:22.552 Jakob Kagel: There should be order number in one of our Zendesk tables. But I’m telling you I went through like every single one, and like we don’t have order number, like, if we need this map on order number. That’s way. Better, we shouldn’t map on email,

344 00:25:23.030 00:25:28.272 Jakob Kagel: But I’m I’m look through. I mean the the Zendesk tables that I’m looking at are

345 00:25:29.350 00:25:33.349 Jakob Kagel: let me see. Sorry. Let me pull it up. It’s dbt

346 00:25:37.570 00:25:38.270 Jakob Kagel: oops.

347 00:25:38.930 00:25:41.599 Uttam Kumaran: I mean, you’re right. It’s probably not. It doesn’t look like it’s in there.

348 00:25:42.860 00:25:50.320 Jakob Kagel: Right. I mean, there’s the Dbt. Zendesk ones, and I mean, of course, there’s the ones in Dbt. Mart, but it’s only Zendesk customer tickets in there.

349 00:25:50.430 00:25:52.469 Jakob Kagel: And that doesn’t have basically anything.

350 00:25:52.470 00:26:00.879 Uttam Kumaran: So I guess, like another suggestion, we could try to say to them, or we could basically say, like, See, there is a shopify order id field what’s not filled out.

351 00:26:02.030 00:26:05.849 Jakob Kagel: In this particular ticket, or like, Oh, okay.

352 00:26:06.470 00:26:09.080 Jakob Kagel: But you looked it up by the order, id or no.

353 00:26:09.080 00:26:11.000 Uttam Kumaran: No, I looked it up by the guy’s name.

354 00:26:11.000 00:26:15.120 Jakob Kagel: Oh, okay, okay, okay, yeah, I mean.

355 00:26:15.410 00:26:19.529 Jakob Kagel: but they have the field, at least for shopify order. So.

356 00:26:19.530 00:26:20.940 Uttam Kumaran: So this is where it’s like

357 00:26:21.040 00:26:22.190 Uttam Kumaran: I

358 00:26:22.630 00:26:26.269 Uttam Kumaran: I think there are. There are some things where we should push to be like yo.

359 00:26:26.370 00:26:29.859 Uttam Kumaran: it’ll make our life so much easier if you put the order. Id. In.

360 00:26:29.860 00:26:30.620 Jakob Kagel: Right.

361 00:26:30.620 00:26:33.870 Uttam Kumaran: And then we should be able to say, like

362 00:26:33.970 00:26:36.710 Uttam Kumaran: all these need order ids, basically.

363 00:26:37.230 00:26:39.769 Uttam Kumaran: On the other hand, I also want to know.

364 00:26:40.370 00:26:41.340 Uttam Kumaran: It’s like.

365 00:26:41.670 00:26:45.370 Uttam Kumaran: are we like, would we if we do that join? Are we missing out on like

366 00:26:45.810 00:26:48.639 Uttam Kumaran: 40% because the join doesn’t work? Or is it like.

367 00:26:50.050 00:26:52.270 Jakob Kagel: Are you talking about joining on email.

368 00:26:52.270 00:26:54.210 Uttam Kumaran: Yeah, and time.

369 00:26:54.210 00:27:09.889 Jakob Kagel: I don’t think we’re missing out on any of anything. I think we maybe get like excess that are not related to the like orders that we’re caring about. But I guess people only fill out Zendesk tickets if they have a problem right? I mean, nobody’s like this isn’t like.

370 00:27:10.190 00:27:33.490 Jakob Kagel: you know some companies, or whatever you know, whatever Amex like chat, bot, or something, you might ask it like, Hey, like, what’s the annual yield on the savings account, or, you know, can you help me get a loan or something like, you know, you’re not just always like, like in a negative way, but with the Zendesk. It’s like, it seems like people. Only like these are basically all just problems, right?

371 00:27:34.960 00:27:41.990 Uttam Kumaran: Yeah, so let’s look. So now, okay, so let’s actually, I think we can just say, I think I can answer that we can answer that like 10 min. So let me just pull up. Get up.

372 00:27:41.990 00:27:46.300 Jakob Kagel: Just so, you know, I gotta jump on the intelligence call at 4 45. So.

373 00:27:46.300 00:27:47.030 Uttam Kumaran: Okay.

374 00:27:47.190 00:27:50.879 Jakob Kagel: But we I’m devin we can jump on tomorrow, too.

375 00:27:51.070 00:27:53.859 Uttam Kumaran: Okay, I just wanna see where the logic for

376 00:27:54.050 00:27:56.080 Uttam Kumaran: it’s coming where it’s coming from.

377 00:28:02.110 00:28:04.209 Uttam Kumaran: So if we go to all orders.

378 00:28:07.100 00:28:09.199 Jakob Kagel: That’s the evidence. One, though. Yeah.

379 00:28:18.990 00:28:21.290 Uttam Kumaran: It’s coming from shopify orders.

380 00:28:21.290 00:28:28.350 Jakob Kagel: Right and the shopify orders. That’s the screenshot that I sent earlier this where it’s joined on the Zendesk on email.

381 00:28:38.050 00:28:39.833 Uttam Kumaran: See? No, it’s coming from

382 00:28:43.490 00:28:45.669 Uttam Kumaran: It’s coming from shopify, refund.

383 00:28:48.060 00:28:50.900 Jakob Kagel: Hmm! But what was I looking at earlier then?

384 00:28:50.900 00:28:53.334 Uttam Kumaran: I think you were looking at.

385 00:28:55.160 00:29:00.402 Uttam Kumaran: I think you were looking at this, which is the this is the light dash table.

386 00:29:01.130 00:29:02.279 Jakob Kagel: Oh, okay.

387 00:29:02.280 00:29:05.035 Uttam Kumaran: So meaning. If you go to light, dash

388 00:29:08.910 00:29:18.859 Uttam Kumaran: like. If we just go to the light, dash like homepage, I’ll show you where, where like this forms this is, join like light dash models together. So if we were to go like new query from tables and do

389 00:29:19.482 00:29:22.159 Uttam Kumaran: oh, so this is the other client.

390 00:29:40.250 00:29:44.090 Uttam Kumaran: If we were to go to like shopify orders, you should see here that

391 00:29:44.220 00:29:45.849 Uttam Kumaran: this. See how these are joined.

392 00:29:45.850 00:29:47.460 Jakob Kagel: Oh, yeah, I see. Yeah.

393 00:29:47.460 00:29:49.220 Uttam Kumaran: That’s how this works. But

394 00:29:49.510 00:29:53.310 Uttam Kumaran: the refund reason it looks like it’s actually coming from

395 00:29:56.610 00:29:57.596 Jakob Kagel: From shopify.

396 00:29:58.090 00:29:58.750 Uttam Kumaran: From.

397 00:29:58.750 00:29:59.750 Nicolas Sucari: They reasoned.

398 00:30:02.520 00:30:04.249 Uttam Kumaran: I don’t know how

399 00:30:04.830 00:30:08.290 Uttam Kumaran: this actually gets populated. But one thing we can do

400 00:30:08.300 00:30:09.410 Uttam Kumaran: is

401 00:30:10.420 00:30:16.650 Uttam Kumaran: see, this gets populated from. We looked at that one example, right where it was like, right here, where it said, refund reason.

402 00:30:17.700 00:30:18.790 Uttam Kumaran: Remember? Yeah.

403 00:30:20.640 00:30:21.230 Uttam Kumaran: type. It.

404 00:30:21.230 00:30:22.482 Nicolas Sucari: First one was

405 00:30:22.900 00:30:23.850 Uttam Kumaran: Yeah, here.

406 00:30:24.500 00:30:25.160 Uttam Kumaran: yeah.

407 00:30:26.580 00:30:30.320 Uttam Kumaran: but sometimes. But that’s not the reason for a replacement.

408 00:30:32.890 00:30:33.690 Jakob Kagel: Right.

409 00:30:34.090 00:30:37.459 Uttam Kumaran: Like in this situation. This was a complete refund, because she’s like.

410 00:30:37.720 00:30:40.359 Uttam Kumaran: I don’t want a replacement. This is the wrong one.

411 00:30:41.450 00:30:42.120 Jakob Kagel: Yeah.

412 00:30:42.120 00:30:45.499 Uttam Kumaran: So we actually need to get it from both places like, probably. Then, right.

413 00:30:45.900 00:30:47.979 Jakob Kagel: Yeah, no. That makes sense.

414 00:30:50.290 00:30:50.940 Uttam Kumaran: Okay.

415 00:30:51.120 00:30:57.900 Jakob Kagel: Cool. Well, yeah, let’s meet tomorrow. I mean, I’m off on my other job tomorrow, so I can meet whenever.

416 00:30:58.080 00:31:05.710 Uttam Kumaran: Okay, I’m gonna I’ll yeah, let me. I’ll just save this stuff to a note, and then we can write. I think, maybe go, you could go ahead and send what you want to send, and.

417 00:31:05.710 00:31:16.380 Jakob Kagel: I’ll I’ll send it. I mean exactly. I’ll count the audit and just say, basically, like I said, that we’re working on stitching like the Zendesk tickets. But yeah, I think it’s good. Just we’ll give it as update.

418 00:31:16.570 00:31:17.490 Uttam Kumaran: No. Okay.

419 00:31:17.750 00:31:21.090 Jakob Kagel: Sounds good. Sounds good, cool? Well, we’ll talk soon, then.

420 00:31:21.090 00:31:21.640 Uttam Kumaran: Okay.

421 00:31:22.754 00:31:24.890 Uttam Kumaran: Nico, you wanna stay on for a sec.

422 00:31:25.360 00:31:27.000 Uttam Kumaran: Yep, sure.

423 00:31:28.430 00:31:29.880 Nicolas Sucari: Really interesting stuff.

424 00:31:30.640 00:31:31.900 Uttam Kumaran: Yeah, I think.

425 00:31:33.240 00:31:37.370 Uttam Kumaran: I think the real is really nice to poke around like light. Dash is okay. But

426 00:31:37.540 00:31:42.698 Uttam Kumaran: I like real a little bit more. We’re thinking about how to if we want to move them over.

427 00:31:43.740 00:31:51.660 Uttam Kumaran: But yeah, you can see how I kind of like you. Just it’s like the thing with data is like you go. One thing. Next thing. Next, you always have to find the root cause

428 00:31:53.400 00:31:59.319 Uttam Kumaran: and then the one thing with the team is sometimes the this is where I think we have a little bit of a transition where

429 00:32:01.090 00:32:08.822 Uttam Kumaran: where it’s like. Oh, well, there’s looks like that field is wrong. I’m like, Okay, well, you can put in the ticket and go fix it

430 00:32:09.554 00:32:15.029 Uttam Kumaran: but like, I think, even making sure that everybody knows where to how to jump through those hoops

431 00:32:15.612 00:32:18.040 Uttam Kumaran: and like where to go to. Debug is really helpful.

432 00:32:18.850 00:32:23.060 Nicolas Sucari: Yeah, and how? How? Probably something that it would be

433 00:32:23.760 00:32:28.930 Nicolas Sucari: useful to understand these? The structure of the repositories like,

434 00:32:29.530 00:32:34.679 Nicolas Sucari: is, is everyone like really aware of how to find all of different things there?

435 00:32:35.440 00:32:45.110 Nicolas Sucari: Because I know you, you can easily debug. I just seen it, and you can go through the code real quick, but I don’t know if any. Everyone on the team is like.

436 00:32:45.250 00:32:49.210 Nicolas Sucari: and no, sir, is aware of where to find each of the different things.

437 00:32:49.420 00:33:00.589 Uttam Kumaran: Yeah, I think Ryan is probably really like at my level, because we we’ve done a lot of the modeling together, I think, for Jacob, Patrick and Augustine. We probably need to do like a session, for sure.

438 00:33:01.095 00:33:01.500 Uttam Kumaran: But.

439 00:33:01.500 00:33:02.180 Nicolas Sucari: So great?

440 00:33:03.470 00:33:05.440 Nicolas Sucari: Yeah, yeah, because I I I.

441 00:33:05.440 00:33:06.260 Uttam Kumaran: We do have like a.

442 00:33:06.260 00:33:06.880 Nicolas Sucari: Release.

443 00:33:06.880 00:33:10.590 Uttam Kumaran: We do have a common structure that we’re implementing across every client.

444 00:33:11.580 00:33:12.259 Uttam Kumaran: But

445 00:33:13.130 00:33:20.090 Uttam Kumaran: you could see that like, I was like, Oh, yeah, it’s the stable is. Probably the stable is probably the stable like that’s that’s this type of stuff that needs to get out.

446 00:33:20.120 00:33:21.780 Uttam Kumaran: I’m like disseminated for sure.

447 00:33:22.710 00:33:30.329 Nicolas Sucari: Excellent. Yeah, because that was what I was seeing like, Jacob really knows what he’s looking for, but probably can couldn’t find that

448 00:33:30.390 00:33:38.789 Nicolas Sucari: that table. And yeah, that cost probably that not finding like the right reason. But I think it. The approach was okay. Yeah.

449 00:33:40.840 00:33:41.645 Uttam Kumaran: Okay. Cool.

450 00:33:42.450 00:33:43.300 Nicolas Sucari: So.

451 00:33:43.610 00:33:44.320 Uttam Kumaran: Yeah. Go ahead.

452 00:33:44.320 00:33:45.030 Nicolas Sucari: Go ahead!

453 00:33:45.656 00:33:49.764 Uttam Kumaran: Wanted to chat about like, if we want to send this update out.

454 00:33:51.800 00:33:52.740 Uttam Kumaran: yeah, I.

455 00:33:52.740 00:33:55.050 Nicolas Sucari: So everything here.

456 00:33:55.120 00:34:00.298 Nicolas Sucari: because Patrick just sent me the update for the vital sign stuff.

457 00:34:00.750 00:34:10.790 Nicolas Sucari: Let me consolidate everything but according to setup intelligence. Well, Jacob told me that he has a he’s gonna go now to the meeting.

458 00:34:10.800 00:34:14.509 Nicolas Sucari: he just said, but what we can

459 00:34:14.820 00:34:23.569 Nicolas Sucari: give us an update. Is that what we talked before? The idea is to keep it running for? I don’t know. 4 to 6 weeks and then analyze what are the

460 00:34:23.670 00:34:50.999 Nicolas Sucari: the outcomes for the feedback form. I’m just like creating a message on showing what we did and the link to the form onto the sheet with the responses, and how that works with the slack bot that we created for refunds. What we just said. I’m gonna add the information that we’re gonna send or Jacob will send that information through email, and we’ll keep looking for more information understanding

461 00:34:51.393 00:34:59.629 Nicolas Sucari: on the shipping dashboards. I talked to Ryan, and he told me that. He’s still looking for duplicates and legal assistances right.

462 00:35:00.040 00:35:00.330 Uttam Kumaran: Yeah.

463 00:35:02.610 00:35:05.610 Nicolas Sucari: So I’m gonna send that to you. Now let me.

464 00:35:06.010 00:35:07.800 Nicolas Sucari: I don’t know what Patrick told me.

465 00:35:22.940 00:35:25.421 Nicolas Sucari: Yeah, let me see if I’m using something else. Yeah.

466 00:35:25.670 00:35:27.339 Uttam Kumaran: And also like, I guess

467 00:35:27.680 00:35:30.849 Uttam Kumaran: it’s that’s definitely helpful. One thing I I

468 00:35:31.040 00:35:35.709 Uttam Kumaran: one thing is to probably go through how to access each of these tools, too, is probably really helpful.

469 00:35:36.244 00:35:40.999 Uttam Kumaran: The one thing I’ll show you is also how to get to how to get to intelligence.

470 00:35:41.920 00:35:42.590 Nicolas Sucari: Okay.

471 00:35:42.590 00:35:47.069 Uttam Kumaran: You have access to. You have access to. The shopify, correct.

472 00:35:48.451 00:35:53.679 Nicolas Sucari: No, I don’t think I had. I mean I I can look for the account on the one password right.

473 00:35:53.680 00:35:56.379 Uttam Kumaran: Yeah, it should be. It’s in the one password under

474 00:35:56.460 00:35:57.949 Uttam Kumaran: using my email.

475 00:35:58.800 00:35:59.540 Nicolas Sucari: Gray.

476 00:36:00.656 00:36:06.520 Uttam Kumaran: If you just want to go log in there, I can show you how to kind of go to this intelligent screen.

477 00:36:07.370 00:36:08.060 Nicolas Sucari: Yep.

478 00:36:08.240 00:36:08.990 Nicolas Sucari: Okay.

479 00:36:11.150 00:36:13.650 Nicolas Sucari: Me go to this is

480 00:36:14.010 00:36:15.640 Nicolas Sucari: that should be fine. Yeah.

481 00:36:27.655 00:36:29.880 Nicolas Sucari: Login with pasky white basket.

482 00:36:31.490 00:36:33.220 Nicolas Sucari: Okay? Basket. Yeah.

483 00:36:35.250 00:36:37.020 Nicolas Sucari: So how can I log in.

484 00:36:40.526 00:36:41.819 Uttam Kumaran: Into shopify.

485 00:36:42.920 00:36:43.550 Nicolas Sucari: Yeah.

486 00:36:43.860 00:36:48.920 Uttam Kumaran: If you go to. If you go to admin.shopify.com, or if you go to shopify, you should see a login.

487 00:36:50.310 00:36:53.740 Nicolas Sucari: Yeah, I see login. I click your email. But then it says, Login would pass you right.

488 00:36:54.920 00:36:56.640 Uttam Kumaran: Oh, it says Login, with Pass Key.

489 00:36:57.110 00:37:01.785 Nicolas Sucari: Yeah, or different method. Different method. I don’t think there is.

490 00:37:02.650 00:37:05.990 Nicolas Sucari: the the password is not in the one password.

491 00:37:07.900 00:37:09.050 Nicolas Sucari: Let me share my screen.

492 00:37:11.590 00:37:14.959 Uttam Kumaran: Okay, that’s gonna be tough. Then.

493 00:37:15.600 00:37:18.960 Nicolas Sucari: Because I’m seeing this right? This is what you say tomorrow, right.

494 00:37:19.130 00:37:19.480 Uttam Kumaran: Yeah.

495 00:37:19.480 00:37:20.779 Nicolas Sucari: If I open this.

496 00:37:22.110 00:37:25.239 Uttam Kumaran: It doesn’t let you do the with. It doesn’t let you sign in with Pass Key.

497 00:37:29.280 00:37:31.749 Nicolas Sucari: It says, use a phone or tablet

498 00:37:33.110 00:37:33.960 Nicolas Sucari: now.

499 00:37:34.560 00:37:36.019 Nicolas Sucari: but it’s by Bluetooth

500 00:37:36.320 00:37:37.070 Nicolas Sucari: now.

501 00:37:38.920 00:37:41.170 Uttam Kumaran: But you have access to the pass key right?

502 00:37:43.740 00:37:45.279 Nicolas Sucari: How can I access the Paski?

503 00:37:45.390 00:37:46.459 Nicolas Sucari: You know one password.

504 00:37:46.460 00:37:47.720 Uttam Kumaran: And one password. Yeah.

505 00:37:48.940 00:37:51.030 Uttam Kumaran: like, I think you can just use this.

506 00:37:53.110 00:37:53.750 Nicolas Sucari: How.

507 00:37:54.220 00:37:55.900 Nicolas Sucari: I’m not getting it, sir.

508 00:37:55.900 00:37:56.460 Uttam Kumaran: I don’t.

509 00:37:56.460 00:37:57.220 Nicolas Sucari: Very hungry.

510 00:37:57.220 00:37:58.859 Uttam Kumaran: I don’t know exactly how

511 00:37:58.930 00:38:01.450 Uttam Kumaran: a pass the pass queue works, but

512 00:38:04.440 00:38:05.320 Uttam Kumaran: When you, when you.

513 00:38:05.320 00:38:06.010 Nicolas Sucari: When I went.

514 00:38:06.010 00:38:07.170 Uttam Kumaran: I if you got anything.

515 00:38:07.170 00:38:08.069 Nicolas Sucari: Come, past.

516 00:38:08.350 00:38:09.210 Uttam Kumaran: What happens here.

517 00:38:09.520 00:38:09.830 Nicolas Sucari: You

518 00:38:10.380 00:38:12.439 Nicolas Sucari: you’re not seeing. Okay. Wait!

519 00:38:12.440 00:38:12.839 Uttam Kumaran: I do not.

520 00:38:12.840 00:38:14.889 Nicolas Sucari: You’re not seeing like the pop up. Yeah.

521 00:38:17.760 00:38:18.979 Nicolas Sucari: me share

522 00:38:21.670 00:38:22.480 Nicolas Sucari: Wait.

523 00:38:23.280 00:38:25.399 Uttam Kumaran: I mean, I can just remove Paskey. Then.

524 00:38:29.010 00:38:31.160 Nicolas Sucari: How can I stop sharing my screen? Well.

525 00:38:39.000 00:38:41.050 Nicolas Sucari: I can’t find my zoom weight.

526 00:38:41.480 00:38:42.906 Uttam Kumaran: If you hit escape it’ll show up.

527 00:38:43.490 00:38:47.210 Nicolas Sucari: Yeah, here, excellent. So let me share. Everything.

528 00:38:50.560 00:38:51.460 Nicolas Sucari: Okay.

529 00:38:51.670 00:38:52.260 Uttam Kumaran: Yeah.

530 00:38:54.680 00:38:57.510 Nicolas Sucari: So we something like this opens up.

531 00:38:59.630 00:39:00.839 Uttam Kumaran: What the hell.

532 00:39:01.800 00:39:03.239 Nicolas Sucari: I have no idea.

533 00:39:04.482 00:39:08.350 Uttam Kumaran: Okay, try login using different method, does it? Not? There’s an option.

534 00:39:11.850 00:39:12.360 Uttam Kumaran: Okay.

535 00:39:12.360 00:39:12.720 Nicolas Sucari: The meeting.

536 00:39:12.720 00:39:14.259 Uttam Kumaran: Let me create a password. Then.

537 00:39:16.010 00:39:16.360 Nicolas Sucari: Agree.

538 00:39:26.850 00:39:28.150 Uttam Kumaran: Okay, I created a password.

539 00:39:36.070 00:39:36.840 Uttam Kumaran: Yeah.

540 00:39:46.254 00:39:49.495 Uttam Kumaran: nice. Okay. So here, if you go, if you go to

541 00:39:50.050 00:39:51.679 Uttam Kumaran: if you go to the homepage.

542 00:39:53.620 00:39:56.250 Uttam Kumaran: I don’t know. Yeah, shopify, and then.

543 00:39:57.950 00:39:59.560 Uttam Kumaran: yep, that’s the one.

544 00:40:06.160 00:40:11.089 Uttam Kumaran: And then you should be able to go to here, let me just also pull it up on my end.

545 00:40:18.920 00:40:19.330 Uttam Kumaran: It’s

546 00:40:25.030 00:40:27.079 Uttam Kumaran: if you type in intelligence.

547 00:40:33.660 00:40:35.750 Uttam Kumaran: Oh, wait! Wait! Hold on! Hold on! Hold on!

548 00:40:37.990 00:40:40.571 Uttam Kumaran: This year, where it’s logged into the

549 00:40:42.070 00:40:47.230 Uttam Kumaran: It’s lock. You’re logged into the wrong store. So if you go to or pull parts bt.

550 00:40:47.900 00:40:50.300 Uttam Kumaran: it should just be pool parts to go

551 00:40:52.030 00:40:52.980 Uttam Kumaran: to click on all.

552 00:40:52.980 00:40:53.630 Nicolas Sucari: There.

553 00:40:54.570 00:40:55.460 Nicolas Sucari: hey?

554 00:40:58.170 00:40:59.680 Nicolas Sucari: Yes. Okay. Here’s one.

555 00:40:59.680 00:41:00.125 Uttam Kumaran: Yes.

556 00:41:02.640 00:41:05.760 Uttam Kumaran: So then at the top, if you type in, INTE, LL,

557 00:41:06.220 00:41:07.020 Uttam Kumaran: yeah.

558 00:41:10.050 00:41:11.260 Uttam Kumaran: And then

559 00:41:12.760 00:41:14.840 Uttam Kumaran: yeah, should just go past that.

560 00:41:14.970 00:41:17.309 Uttam Kumaran: So this is where we have the test running currently.

561 00:41:19.615 00:41:19.870 Uttam Kumaran: So.

562 00:41:19.870 00:41:20.440 Nicolas Sucari: Day.

563 00:41:20.440 00:41:25.239 Uttam Kumaran: Oh, interesting data just to look at. I was looking at it today is if you click on the top one and view details.

564 00:41:27.050 00:41:31.360 Uttam Kumaran: So what we’re actually seeing here is we’re seeing that there’s 3 different groups.

565 00:41:31.777 00:41:36.379 Uttam Kumaran: There’s one test where we raise the price. There’s one test where we decrease the price.

566 00:41:38.180 00:41:41.689 Uttam Kumaran: and you can see that what basically what it’s showing is that like.

567 00:41:42.110 00:41:47.379 Uttam Kumaran: it’s basically giving, trying to give you an estimate of like if you increase the price, or if you decrease the price like what happens?

568 00:41:52.490 00:41:53.320 Nicolas Sucari: Okay.

569 00:41:53.640 00:41:57.139 Uttam Kumaran: So it it looks like I’ll for example, it said.

570 00:41:57.260 00:42:01.120 Uttam Kumaran: out of they’ve directed a roughly 5,200 people to each

571 00:42:01.130 00:42:07.069 Uttam Kumaran: zone. I’ve got 8 orders, 4 orders when it’s higher, and 12 orders when it’s a little lower.

572 00:42:08.083 00:42:14.880 Uttam Kumaran: It’s not like a ton. It’s not that significant of like a amount of orders. But what they’re showing is that

573 00:42:15.480 00:42:19.530 Uttam Kumaran: basically what we’re trying to find out is like, if we lower the price do we get?

574 00:42:19.760 00:42:22.670 Uttam Kumaran: Do we get enough orders that it makes up the difference

575 00:42:23.780 00:42:24.570 Uttam Kumaran: right.

576 00:42:24.570 00:42:25.220 Nicolas Sucari: Yeah.

577 00:42:26.390 00:42:27.250 Nicolas Sucari: okay.

578 00:42:28.170 00:42:32.340 Uttam Kumaran: So this is basically what we’re hoping to share with them is like.

579 00:42:32.610 00:42:43.199 Uttam Kumaran: how price sensitive are their customers right? And can we extract more revenue. But I I thought I thought this was like this would be a cool thing to share or to even just like screenshot and share like this is kind of what we’re looking at. So

580 00:42:43.937 00:42:44.590 Uttam Kumaran: I don’t know

581 00:42:44.760 00:42:45.830 Uttam Kumaran: up to you. Yeah.

582 00:42:45.830 00:42:48.240 Nicolas Sucari: This is. This is great, of course.

583 00:42:48.240 00:42:48.840 Uttam Kumaran: Yeah.

584 00:42:49.351 00:42:57.219 Nicolas Sucari: I think we can screenshot this and send like the actual, or I don’t know if they obviously, I I think they have like access to this right.

585 00:42:57.860 00:43:05.179 Uttam Kumaran: I don’t. I don’t. I think they have a. They have access, but nobody’s looking like Kim. Kim may be looking at it. But

586 00:43:05.520 00:43:07.440 Uttam Kumaran: I think it would be great to share with them.

587 00:43:08.230 00:43:11.619 Nicolas Sucari: What if we export it and send it in a different way?

588 00:43:14.600 00:43:18.299 Uttam Kumaran: Yeah, I don’t know. Maybe it’s just the I don’t know if you’re gonna export the image.

589 00:43:19.720 00:43:21.260 Nicolas Sucari: Hmm, okay.

590 00:43:21.470 00:43:26.189 Nicolas Sucari: yeah, no. Probably just taking a screenshot. If not, that will work right?

591 00:43:27.850 00:43:41.700 Nicolas Sucari: I mean, because for now I think there are like, if if we’re gonna stick to these for a couple of weeks, we can like keep sending like new progress by end of each week. Right?

592 00:43:41.720 00:43:53.040 Nicolas Sucari: Yeah. So probably we, we need like to send an image. I don’t know if yeah, or we can screenshot. I don’t know what is relevant for you to send. Like to send everything, or just send the amount of orders.

593 00:43:53.450 00:43:57.286 Uttam Kumaran: It might be best to send, like the the

594 00:44:02.360 00:44:04.930 Uttam Kumaran: maybe the bottom section, which is

595 00:44:05.070 00:44:07.669 Uttam Kumaran: the this, this whole section and the audiences like.

596 00:44:07.670 00:44:08.460 Nicolas Sucari: Yeah.

597 00:44:08.460 00:44:13.309 Uttam Kumaran: This is a nice one. Cause the other thing, I think the top section, it’s they’re basically trying to predict.

598 00:44:13.640 00:44:23.150 Uttam Kumaran: like, how much you would get. But if we’re not like I I think those numbers are like, if they saw that they’d be like, Oh, my God, no way! But it’s only been like 15 orders, so I don’t wanna like.

599 00:44:23.150 00:44:23.900 Nicolas Sucari: Hear it.

600 00:44:23.900 00:44:24.640 Uttam Kumaran: But I don’t. Wanna.

601 00:44:24.640 00:44:38.170 Nicolas Sucari: Yeah, that’s why that’s why I’m saying, probably we can. We can send like these and say, that. This is like the initial data that we are seeing like, first week of doing the test. It’s it was only for one week, right this week.

602 00:44:38.350 00:44:39.000 Uttam Kumaran: Yeah.

603 00:44:40.090 00:44:44.860 Nicolas Sucari: Yeah, and we can keep sending like the same screenshot with the

604 00:44:45.410 00:44:51.370 Nicolas Sucari: while while the weeks go through and see how it changes to like. Take a conclusion right?

605 00:44:51.370 00:44:59.230 Uttam Kumaran: Yeah. And then to give you even this, to give you an view like a sense of like the scope here. Or the importance. They’ve never run any sort of tests.

606 00:44:59.790 00:45:00.390 Uttam Kumaran: Apart from.

607 00:45:00.390 00:45:00.890 Nicolas Sucari: Okay.

608 00:45:00.890 00:45:01.899 Uttam Kumaran: Passed on like

609 00:45:02.460 00:45:11.529 Uttam Kumaran: this brand versus this brand. So this is the this is the first price test. They’re running like, first AV test. So I think it’s like, I think it’s massive, like, I think

610 00:45:11.790 00:45:18.858 Uttam Kumaran: you know, to be able to run these and really get some understanding of like, are your prices accurate. So that’s what

611 00:45:19.350 00:45:21.769 Uttam Kumaran: I know for me. It’s like super cool. I think they’re

612 00:45:22.110 00:45:22.890 Uttam Kumaran: definitely.

613 00:45:22.890 00:45:23.819 Nicolas Sucari: So cool. Yeah.

614 00:45:23.820 00:45:24.580 Uttam Kumaran: Yeah.

615 00:45:27.150 00:45:27.790 Nicolas Sucari: Kay.

616 00:45:28.270 00:45:31.040 Nicolas Sucari: yeah, I think we can send this obviously.

617 00:45:31.404 00:45:37.389 Nicolas Sucari: And yeah, this is only 3 pack. But there is another test, right? But we are not using the variable speed.

618 00:45:38.780 00:45:42.310 Uttam Kumaran: There’s a 2 test right now, but this one is even lower in terms of like

619 00:45:42.630 00:45:43.650 Uttam Kumaran: volume.

620 00:45:44.620 00:45:45.300 Nicolas Sucari: Ray.

621 00:45:49.350 00:45:50.160 Nicolas Sucari: Okay.

622 00:45:55.680 00:46:00.089 Nicolas Sucari: what is speed price? What does it change from the control group?

623 00:46:04.310 00:46:06.049 Uttam Kumaran: Lower lower is

624 00:46:06.660 00:46:07.990 Uttam Kumaran: Oh, wait! What do you mean?

625 00:46:08.740 00:46:09.360 Nicolas Sucari: Bike.

626 00:46:09.620 00:46:13.970 Nicolas Sucari: I understand, like this is like we’re changing the price of a product right?

627 00:46:13.970 00:46:18.039 Uttam Kumaran: It’s the same. So same thing on the same thing on the variables price test. I don’t know

628 00:46:18.110 00:46:20.980 Uttam Kumaran: how much lower it is. Actually

629 00:46:22.065 00:46:23.070 Uttam Kumaran: let me see.

630 00:46:47.250 00:46:49.460 Uttam Kumaran: Variable speed test

631 00:46:51.040 00:46:52.200 Uttam Kumaran: lower.

632 00:47:01.220 00:47:08.360 Uttam Kumaran: Yeah, I actually don’t know what the lower thing is, but that’s a good, probably good question for Jacob. I don’t know how how much lower they made it.

633 00:47:15.160 00:47:15.920 Nicolas Sucari: Okay.

634 00:47:25.630 00:47:36.749 Uttam Kumaran: But may, I think maybe just sending the brush and saying like, this is an example of some of the data we’re seeing. I think again. I wanna give Jacob time to like, probably give a more broad explanation.

635 00:47:37.250 00:47:37.840 Uttam Kumaran: But I think.

636 00:47:37.840 00:47:40.189 Nicolas Sucari: Yeah, yeah, of course I don’t. I

637 00:47:40.560 00:47:53.399 Nicolas Sucari: I don’t think we need to like send, like already, like, what are our insight seeing this. But just like that, we are receiving information. And like, we will keep sending this and start to understand the data once we have, like, more

638 00:47:53.750 00:47:55.479 Nicolas Sucari: yeah.

639 00:47:55.490 00:47:57.729 Nicolas Sucari: more more more orders. Right?

640 00:47:57.730 00:47:58.045 Uttam Kumaran: Yeah.

641 00:47:59.710 00:48:00.560 Nicolas Sucari: Excellent

642 00:48:02.590 00:48:03.390 Nicolas Sucari: bait.

643 00:48:03.540 00:48:05.229 Nicolas Sucari: I’ll send it to you through slack.

644 00:48:05.370 00:48:06.630 Uttam Kumaran: Okay. Okay.

645 00:48:08.070 00:48:12.000 Nicolas Sucari: And you let me know if we are still missing something we have.

646 00:48:13.550 00:48:18.610 Nicolas Sucari: Okay? Well, I cannot send even slack. I cannot add the image in the middle of stuff.

647 00:48:18.650 00:48:23.850 Nicolas Sucari: But I have the details of ideal science. Update the setup intelligence feedback form refunds

648 00:48:24.476 00:48:26.300 Nicolas Sucari: working on adding recent.

649 00:48:26.300 00:48:33.770 Uttam Kumaran: Okay, we can even if you want. We can even just walk, because I’ll send this note right now and then. We can even just walk through it now and then, close it all up. Basically for today.

650 00:48:34.850 00:48:35.819 Nicolas Sucari: Like out here.

651 00:48:36.000 00:48:37.000 Uttam Kumaran: Yeah, yeah.

652 00:48:39.466 00:48:40.160 Nicolas Sucari: Use my

653 00:48:40.550 00:48:42.310 Nicolas Sucari: notes to just

654 00:48:42.450 00:48:43.790 Nicolas Sucari: write everything up.

655 00:48:43.790 00:48:44.490 Uttam Kumaran: Paul.

656 00:48:55.670 00:48:56.560 Nicolas Sucari: okay.

657 00:49:02.600 00:49:07.520 Nicolas Sucari: And I’m just missing the. This is for poll part, the elementary report, right?

658 00:49:08.290 00:49:10.870 Uttam Kumaran: Yeah, that the elementary report is running.

659 00:49:16.750 00:49:17.380 Uttam Kumaran: Yeah.

660 00:49:17.380 00:49:19.319 Nicolas Sucari: And I think I have it here.

661 00:49:26.260 00:49:27.350 Nicolas Sucari: Peace, right.

662 00:49:27.350 00:49:28.480 Uttam Kumaran: Exactly. Yeah.

663 00:49:29.870 00:49:31.420 Nicolas Sucari: I’m sure I

664 00:49:31.520 00:49:33.410 Nicolas Sucari: send a screenshot or something.

665 00:49:34.890 00:49:37.690 Uttam Kumaran: I think you can just send a link because they have.

666 00:49:38.140 00:49:40.300 Uttam Kumaran: I so already sent them the password to it.

667 00:49:42.500 00:49:43.160 Nicolas Sucari: Great.

668 00:50:05.360 00:50:06.210 Nicolas Sucari: Okay.

669 00:50:06.610 00:50:16.219 Nicolas Sucari: this is all for pool parts right? And then we have everything about the zip codes and the new warehouse. But I don’t know if we have any update on that yet. Right.

670 00:50:16.460 00:50:20.877 Uttam Kumaran: Yeah, so I would. I would. I would actually mention that because that is another thing we’re working on.

671 00:50:21.140 00:50:22.973 Uttam Kumaran: So we can say, like,

672 00:50:23.620 00:50:28.970 Uttam Kumaran: So there’s actually the. The. The 2 shipping related things. So there’s one of the things is for Primus.

673 00:50:30.640 00:50:31.250 Nicolas Sucari: Pay.

674 00:50:31.250 00:50:33.180 Uttam Kumaran: It looks like Augustine just

675 00:50:33.240 00:50:35.000 Uttam Kumaran: pushed a Pr. For

676 00:50:37.490 00:50:38.649 Uttam Kumaran: for a

677 00:50:38.660 00:50:42.620 Uttam Kumaran: it should. I think it’s in oh, yeah, it’s an internal poll request.

678 00:50:44.430 00:50:50.369 Uttam Kumaran: but it looks like he just put it. But I will have to review. I’m not sure whether it’ll it’ll everything will be done today.

679 00:50:50.550 00:50:56.859 Uttam Kumaran: but you can say that we’re the data. Integration is like, nearly done. And we’ve integrated with the Api.

680 00:50:58.200 00:50:59.010 Nicolas Sucari: Okay.

681 00:51:02.640 00:51:04.270 Uttam Kumaran: And then for

682 00:51:05.140 00:51:06.960 Uttam Kumaran: the unice

683 00:51:07.080 00:51:10.130 Uttam Kumaran: for the Unis California, which is the new warehouse.

684 00:51:12.960 00:51:14.670 Uttam Kumaran: you can say that we’re

685 00:51:14.700 00:51:19.980 Uttam Kumaran: you can. So that’s the. That’s the email thread that I that I bcced you on today.

686 00:51:20.552 00:51:27.440 Uttam Kumaran: Basically where we were. We’re working with them directly on the shopify adjustments.

687 00:51:28.531 00:51:34.310 Uttam Kumaran: As well as getting the Unis Ca data into the shipping

688 00:51:34.660 00:51:35.969 Uttam Kumaran: table once

689 00:51:36.350 00:51:37.639 Uttam Kumaran: everything is running.

690 00:51:42.270 00:51:49.642 Uttam Kumaran: So actually, you can maybe just say getting the units. Api, it’s just yeah. Just you you, I, you. And I asked Api into

691 00:51:50.110 00:51:51.789 Uttam Kumaran: into the shipping table. Yeah.

692 00:51:55.210 00:51:56.349 Uttam Kumaran: okay, perfect.

693 00:51:57.360 00:51:59.400 Nicolas Sucari: 1, 30. Okay. So between 2

694 00:52:02.940 00:52:03.690 Nicolas Sucari: great.

695 00:52:04.750 00:52:06.142 Uttam Kumaran: And then I’m gonna

696 00:52:06.990 00:52:16.839 Uttam Kumaran: I think one thing is, maybe we should also. So I’m actually gonna be, I just check my calendar. I’m gonna be flying during the time that we have set tomorrow, which is

697 00:52:16.930 00:52:19.220 Uttam Kumaran: 9 am. Central time.

698 00:52:21.102 00:52:21.920 Uttam Kumaran: But one thing.

699 00:52:21.920 00:52:22.380 Nicolas Sucari: A.

700 00:52:22.380 00:52:27.469 Uttam Kumaran: I can ask them whether they are going to be free later in the day to meet

701 00:52:27.878 00:52:31.369 Uttam Kumaran: or I can. I can ask if we can just meet on Monday.

702 00:52:33.290 00:52:38.379 Nicolas Sucari: Yeah, I think, yeah. Monday, it’s okay. If you if you are a little bit busy. Yeah.

703 00:52:38.570 00:52:43.439 Uttam Kumaran: Yeah, okay, let’s try from. Let’s try for Monday. I’m gonna I’m gonna put that in the in the email as well.

704 00:52:44.190 00:52:46.409 Uttam Kumaran: Or or do you want to add that to your update.

705 00:52:48.770 00:52:52.669 Nicolas Sucari: Like to send for for the meeting in the update.

706 00:52:52.670 00:52:56.490 Uttam Kumaran: Yeah, just say like it is it? Would it be possible to meet on Monday? Maybe.

707 00:52:57.700 00:52:58.700 Nicolas Sucari: Yeah, sure.

708 00:52:59.930 00:53:09.660 Nicolas Sucari: the idea for the meeting is, obviously to get to know them. But do you want to show a little bit more of what we of our updates.

709 00:53:10.700 00:53:15.200 Uttam Kumaran: Yeah, I think the well one I wanna definitely get their feedback on the form

710 00:53:15.360 00:53:16.540 Uttam Kumaran: process.

711 00:53:17.070 00:53:21.210 Uttam Kumaran: And then, of course, like, I wanna introduce you cause, and then kind of like, introduce you to

712 00:53:21.450 00:53:23.019 Uttam Kumaran: to them, and then

713 00:53:23.070 00:53:24.560 Uttam Kumaran: hopefully.

714 00:53:24.740 00:53:32.700 Uttam Kumaran: tomorrow we should have a couple of other things done as well, so it’ll just be getting facetime, and I think it’ll just be good to introduce you.

715 00:53:34.590 00:53:35.300 Nicolas Sucari: Okay.

716 00:53:37.380 00:53:38.430 Nicolas Sucari: excellent.

717 00:53:39.448 00:53:47.119 Nicolas Sucari: Great. Okay. Do you want to send like, first an an email, and then I can jump right in and send that.

718 00:53:47.300 00:53:48.720 Uttam Kumaran: Yes, let me do that right now.

719 00:54:30.450 00:54:33.529 Nicolas Sucari: Tomorrow we have the call with asset link right.

720 00:54:33.530 00:54:33.850 Uttam Kumaran: That great.

721 00:54:33.850 00:54:34.770 Nicolas Sucari: I mean turf.

722 00:54:34.920 00:54:35.500 Uttam Kumaran: Yeah.

723 00:54:36.780 00:54:37.430 Nicolas Sucari: Okay?

724 00:54:55.481 00:55:03.270 Nicolas Sucari: The meeting for the Weekly data review with pool parts tomorrow. I think it’s really short. But what is the idea of for that one.

725 00:55:03.520 00:55:10.431 Uttam Kumaran: So that’s so, that’s actually the I’m not going to be available for that. So I’m gonna cancel. And then we can say, Do we want to have

726 00:55:10.940 00:55:12.726 Uttam Kumaran: do we wanna do a meeting on Monday?

727 00:55:12.950 00:55:14.999 Nicolas Sucari: Yeah, yeah, okay, excellent.

728 00:57:15.720 00:57:18.049 Uttam Kumaran: And then I’m gonna send the

729 00:57:18.760 00:57:21.480 Uttam Kumaran: I’ll send the same thing to

730 00:57:21.828 00:57:25.709 Uttam Kumaran: let me. I’ll just actually confirm with Asset Link. Now that they can meet tomorrow.

731 00:57:27.190 00:57:27.860 Nicolas Sucari: Great

732 01:04:27.030 01:04:28.870 Nicolas Sucari: is it? Is it okay to share the

733 01:04:28.990 01:04:30.752 Nicolas Sucari: spreadsheet? Yes, right?

734 01:04:35.270 01:04:36.120 Nicolas Sucari: Great

735 01:05:09.577 01:05:18.490 Nicolas Sucari: according to the shipping dashboard, should we include the picture that shows the increasing costs.

736 01:05:21.820 01:05:27.280 Uttam Kumaran: I think the best thing is, you could just say that we’re validating the new model. Basically.

737 01:05:28.580 01:05:29.270 Nicolas Sucari: Great.

738 01:05:29.270 01:05:30.327 Uttam Kumaran: Probably easiest cause.

739 01:05:30.840 01:05:34.580 Uttam Kumaran: They’re they’re kind of high level. I don’t even know whether they’re going to.

740 01:05:35.410 01:05:39.450 Uttam Kumaran: So maybe just say we’ve added the new data to the model. And we’re validating. Yeah.

741 01:05:39.740 01:05:40.830 Uttam Kumaran: yeah, exactly.

742 01:05:41.450 01:05:44.559 Uttam Kumaran: And you can say, we’re adding tests, because that’s also what we want to do.

743 01:05:44.940 01:05:45.650 Nicolas Sucari: Great.

744 01:07:06.265 01:07:07.000 Nicolas Sucari: Okay?

745 01:07:07.140 01:07:08.380 Nicolas Sucari: Anything else?

746 01:07:10.020 01:07:12.520 Nicolas Sucari: We have vital signs, update

747 01:07:15.070 01:07:19.710 Nicolas Sucari: intelligence with the picture feedback form with the links.

748 01:07:24.740 01:07:30.029 Nicolas Sucari: refunds, shipping that for pretty much new warehouse, elementary report.

749 01:07:30.230 01:07:33.760 Uttam Kumaran: I think that’s it. I guess the only thing is, we wanna talk about a meeting for Monday.

750 01:07:34.660 01:07:35.993 Nicolas Sucari: Yeah. Meeting for Monday. Yeah.

751 01:07:36.260 01:07:38.670 Uttam Kumaran: Even you can say that up, up, top.

752 01:07:38.920 01:07:39.880 Nicolas Sucari: Yeah, yeah.

753 01:07:40.430 01:07:42.529 Nicolas Sucari: what we think is, we update.

754 01:07:42.530 01:07:45.833 Uttam Kumaran: Or anything about you or whatever. But I think we’ll talk all about that on Monday.

755 01:07:47.180 01:07:48.020 Nicolas Sucari: Yeah.

756 01:07:49.220 01:07:51.740 Nicolas Sucari: security is a pleasure

757 01:07:52.590 01:07:53.969 Nicolas Sucari: to join.

758 01:07:55.040 01:07:57.219 Nicolas Sucari: And I see.

759 01:07:59.530 01:08:02.619 Nicolas Sucari: yeah, you already cancelled the meeting on Friday. Yeah.

760 01:08:03.370 01:08:04.390 Uttam Kumaran: Yeah, let’s.

761 01:08:04.390 01:08:05.850 Nicolas Sucari: Okay, no, no.

762 01:08:08.260 01:08:08.985 Nicolas Sucari: Nice.

763 01:09:48.600 01:10:00.209 Nicolas Sucari: is it okay like this? Are you available Monday for a call to get to know, to get to know you and sure more of following updates. Also, it will be good for me to understand next set of priorities. So I can start working with the team.

764 01:10:00.360 01:10:01.410 Uttam Kumaran: Yeah, that’s perfect.

765 01:10:17.660 01:10:18.240 Uttam Kumaran: Right?

766 01:10:18.240 01:10:19.020 Nicolas Sucari: Send it

767 01:10:21.160 01:10:25.639 Nicolas Sucari: great. So are you working tomorrow? Yes, or you’re traveling. But.

768 01:10:25.640 01:10:36.099 Uttam Kumaran: I’m gonna be working in the I’m gonna be working like early morning. And then, probably after like 11 or 12, like, probably after the the daily stand up, I’ll be out.

769 01:10:37.186 01:10:38.609 Uttam Kumaran: The only other thing.

770 01:10:38.949 01:10:43.290 Uttam Kumaran: So if I I just if you want to send this, I think that’s perfect

771 01:10:44.800 01:10:49.359 Uttam Kumaran: and then we can see what feedback is. I think I again, ideally longer term, we can

772 01:10:49.430 01:10:54.629 Uttam Kumaran: basically get these updates to all be the same every week, and kind of like get on a easier.

773 01:10:54.630 01:10:55.970 Nicolas Sucari: Yeah.

774 01:10:57.040 01:11:17.838 Nicolas Sucari: my idea sending this update is well, if if you have some time tomorrow I will be. I would like to schedule like that call in order to plan next week’s tasks we discussed in the afternoon. If you’re or let me know when you’re free and we can, we can talk about that and then I will start like documenting all of these

775 01:11:18.220 01:11:23.600 Nicolas Sucari: updates that we are sending into notion and yeah, creating that notion. File with everything. Okay?

776 01:11:23.850 01:11:24.280 Uttam Kumaran: Yeah.

777 01:11:29.330 01:11:29.810 Uttam Kumaran: Then.

778 01:11:37.140 01:11:37.900 Nicolas Sucari: Great.

779 01:11:40.417 01:11:46.632 Uttam Kumaran: And then the so on. Asset link I have. So I I just fixed so I fixed this so

780 01:11:46.960 01:11:47.580 Nicolas Sucari: Green.

781 01:11:47.580 01:11:51.989 Uttam Kumaran: Account under asset link@brainforge.ai. If you go to continue with email.

782 01:11:54.291 01:11:55.859 Uttam Kumaran: you should see a

783 01:11:56.140 01:11:58.850 Uttam Kumaran: well. Do you have the one. Do you have the one password, extension.

784 01:11:59.770 01:12:02.509 Nicolas Sucari: Yeah. I don’t know why it’s not here, but.

785 01:12:03.610 01:12:06.019 Uttam Kumaran: Like a extension in in arc, right.

786 01:12:08.940 01:12:09.530 Nicolas Sucari: Yeah.

787 01:12:09.680 01:12:11.169 Nicolas Sucari: okay. I don’t know why.

788 01:12:15.060 01:12:17.175 Uttam Kumaran: No, no, no, not the not the

789 01:12:18.300 01:12:19.929 Nicolas Sucari: Yeah, I know. But I can.

790 01:12:20.300 01:12:24.862 Nicolas Sucari: I think inside here I can have it no.

791 01:12:25.370 01:12:26.430 Uttam Kumaran: Of your screen.

792 01:12:28.630 01:12:28.960 Nicolas Sucari: No.

793 01:12:28.960 01:12:31.022 Uttam Kumaran: Click on click on like the the

794 01:12:31.600 01:12:36.389 Uttam Kumaran: the little like the dial. So next to the URL, yeah, click on that.

795 01:12:36.890 01:12:39.460 Uttam Kumaran: That’s what I’m saying. So if you click click plus, you can actually add.

796 01:12:39.460 01:12:41.020 Nicolas Sucari: Okay, extension.

797 01:12:41.620 01:12:44.330 Uttam Kumaran: But it’ll do is every login. It’ll basically tell you. Like.

798 01:12:45.800 01:12:46.750 Uttam Kumaran: yeah, it’s like.

799 01:12:47.550 01:12:53.660 Uttam Kumaran: honestly, one password. I’m more so happy to pay for. It’s so nice like we have, like so many passwords.

800 01:12:56.930 01:12:58.306 Nicolas Sucari: Set up to chrome

801 01:12:58.720 01:13:00.350 Nicolas Sucari: to chrome extension. Okay.

802 01:13:04.740 01:13:05.620 Nicolas Sucari: after her.

803 01:13:36.760 01:13:38.150 Nicolas Sucari: Okay, cool

804 01:13:38.400 01:13:39.590 Nicolas Sucari: we were.

805 01:13:41.750 01:13:42.820 Nicolas Sucari: It’s real.

806 01:13:46.290 01:13:48.580 Nicolas Sucari: What was the email that you were saying for real.

807 01:13:49.213 01:13:52.480 Uttam Kumaran: So you should see it. Auto populate right like

808 01:13:52.830 01:13:53.359 Uttam Kumaran: right done.

809 01:13:53.360 01:13:57.170 Nicolas Sucari: I don’t know, because it’s it’s the first time I’m logging in right. Probably.

810 01:13:57.170 01:13:59.374 Uttam Kumaran: Oh, yeah, yeah, yeah. Okay, if you type in

811 01:13:59.830 01:14:01.429 Uttam Kumaran: if you just type in.

812 01:14:03.050 01:14:03.690 Nicolas Sucari: Yeah.

813 01:14:04.710 01:14:07.330 Uttam Kumaran: Like or hit login at the bottom.

814 01:14:10.060 01:14:11.240 Uttam Kumaran: and then

815 01:14:11.900 01:14:13.589 Uttam Kumaran: is it showing up now or no?

816 01:14:14.260 01:14:14.860 Nicolas Sucari: No.

817 01:14:15.440 01:14:19.220 Uttam Kumaran: It should. Just here 1 s. Let me just make sure it’s all done.

818 01:14:20.850 01:14:21.969 Nicolas Sucari: Yeah, I can

819 01:14:24.220 01:14:25.600 Nicolas Sucari: right here. Yep.

820 01:14:32.800 01:14:35.559 Uttam Kumaran: Off dot real data.com, or what is it?

821 01:14:36.360 01:14:37.990 Uttam Kumaran: Yeah, it’s the second one.

822 01:14:39.160 01:14:41.560 Uttam Kumaran: the real shared access. Yeah, yeah, that’s fine.

823 01:14:43.360 01:14:44.190 Nicolas Sucari: Pain.

824 01:14:59.830 01:15:00.770 Uttam Kumaran: Nice. Okay?

825 01:15:01.720 01:15:05.909 Uttam Kumaran: So I’m gonna try to start using the shared email for a lot of stuff.

826 01:15:06.660 01:15:07.370 Nicolas Sucari: Okay.

827 01:15:07.370 01:15:10.190 Uttam Kumaran: As basically any access I have you should have.

828 01:15:10.400 01:15:13.100 Uttam Kumaran: And then it’s easier

829 01:15:13.550 01:15:34.279 Uttam Kumaran: to just have one shared email for some of this stuff, instead of having like 15 members, you know, because then the whole team is gonna end up getting access. So this is the real. This is the real for asset link. So asset link is gonna be using real and one thing is I I schedule, I just message asset link. So Devon, who’s a CEO. And we’re gonna have. We’ll have a meeting with them tomorrow.

830 01:15:34.430 01:15:40.769 Uttam Kumaran: And I’ll basically can introduce you. And then we can even we can basically just chat about like updates. And and next steps.

831 01:15:41.640 01:15:42.740 Nicolas Sucari: Excellent. Okay.

832 01:15:43.060 01:15:50.459 Uttam Kumaran: So that that it’s on your calendar. I just moved it up, cause I just, he said, move it to 11 Eastern, but he should be on your calendar.

833 01:15:51.160 01:15:53.550 Nicolas Sucari: Yeah, okay, right here.

834 01:15:54.190 01:15:57.370 Nicolas Sucari: I’m using pink call as you invited me. Here.

835 01:15:57.370 01:15:58.830 Uttam Kumaran: Nice. Yeah.

836 01:16:00.170 01:16:02.350 Nicolas Sucari: And I linked my zoom account here, too.

837 01:16:02.350 01:16:02.790 Uttam Kumaran: Nice.

838 01:16:03.820 01:16:05.820 Nicolas Sucari: I just say 6 days left, but it.

839 01:16:05.820 01:16:06.140 Uttam Kumaran: Okay.

840 01:16:06.140 01:16:07.219 Nicolas Sucari: Let us try.

841 01:16:07.220 01:16:08.540 Uttam Kumaran: I will tell you. I’m then.

842 01:16:09.290 01:16:10.870 Nicolas Sucari: No, don’t worry. Don’t worry about it.

843 01:16:11.000 01:16:17.700 Uttam Kumaran: Well, I’ll just. It’s fine. If you’re if you’re just using it for work stuff, I’ll just add us. I’ll add us all to one team, and then

844 01:16:17.970 01:16:20.770 Uttam Kumaran: for me, and you cause we have a lot of meetings. So.

845 01:16:21.940 01:16:35.688 Nicolas Sucari: Yeah, even though I have my, I have like the calendar here too. And I’m also using this like, yeah, because I don’t have, like too many other many calendars, right? So I don’t know.

846 01:16:36.060 01:16:40.350 Uttam Kumaran: Cause. I think vim cal vim Cal is I. I don’t think they have a free version right.

847 01:16:41.600 01:16:43.000 Nicolas Sucari: I don’t think so.

848 01:16:46.490 01:16:50.310 Uttam Kumaran: Yeah. So I might as well just create a team. And then I’ll just make sure you’re added.

849 01:17:21.920 01:17:25.060 Uttam Kumaran: Okay, check this link out. I just sent it to you in slack.

850 01:17:34.950 01:17:35.690 Uttam Kumaran: Quick.

851 01:17:42.100 01:17:42.880 Nicolas Sucari: Okay.

852 01:17:46.060 01:17:47.929 Nicolas Sucari: Okay, yeah. There.

853 01:17:48.040 01:17:49.030 Nicolas Sucari: excellent.

854 01:17:51.050 01:17:53.079 Nicolas Sucari: Nothing changed. But yeah.

855 01:17:55.153 01:17:55.979 Nicolas Sucari: it’s okay.

856 01:17:55.980 01:17:59.579 Uttam Kumaran: I like it, because also, like you should look into some of the features.

857 01:18:00.830 01:18:05.180 Uttam Kumaran: I also got an onboard. Their team is really good, too. They onboarded me until, like everything, and it’s

858 01:18:05.520 01:18:08.709 Uttam Kumaran: I think it’s so nice like makes it so much easier. And

859 01:18:08.890 01:18:09.379 Uttam Kumaran: I put all.

860 01:18:09.380 01:18:10.329 Nicolas Sucari: Yeah, I really like this one.

861 01:18:10.330 01:18:11.794 Uttam Kumaran: Dancing group, too, and

862 01:18:12.900 01:18:13.530 Nicolas Sucari: Bay.

863 01:18:14.350 01:18:15.230 Uttam Kumaran: Yeah, it’s

864 01:18:16.940 01:18:17.640 Uttam Kumaran: yeah, like, yeah.

865 01:18:17.640 01:18:18.310 Nicolas Sucari: Nice.

866 01:18:19.240 01:18:19.990 Nicolas Sucari: Okay.

867 01:18:21.250 01:18:28.490 Uttam Kumaran: Okay, cool. I know it’s late for you. I’m just going to kinda like, wrap up the day. Look at some more prs, and

868 01:18:30.480 01:18:36.970 Uttam Kumaran: basically try to see how much I can push through and then, yeah, I’ll be online tomorrow morning early. And

869 01:18:38.390 01:18:44.447 Uttam Kumaran: there we go. I’m glad I’m I’m looking forward to them, responding and really excited hopefully. You can meet

870 01:18:45.050 01:18:48.570 Uttam Kumaran: I’m excited that you you’re gonna be able to meet Ben and Dan

871 01:18:49.980 01:18:57.983 Uttam Kumaran: and then you’ll meet Devon from Asset Link, and then we can kind of run for there and then. Tomorrow we have. We have a standing time. I’m at

872 01:18:58.890 01:19:00.310 Uttam Kumaran: at 1030.

873 01:19:01.248 01:19:03.630 Uttam Kumaran: But what I’ll what we can do is just like.

874 01:19:04.360 01:19:09.610 Uttam Kumaran: if that time works. We can keep it for now. But I would love to plan basically next plan next week.

875 01:19:10.070 01:19:13.989 Uttam Kumaran: just like, I’ll just let you know when I’m able to sit on a laptop tomorrow. So.

876 01:19:13.990 01:19:34.839 Nicolas Sucari: Yeah, of course, let let me know when you’re okay to see it on your laptop. And yeah, we can discuss that. We can go quickly through the backlog that we have, and after the meeting with us, Link, we can also see if we are needing to create some tickets or anything like that. And we can just discuss that Yup, even though, if not, if if you and if you’re not free tomorrow, don’t worry. We can check that out on Monday. Yep.

877 01:19:35.130 01:19:37.509 Uttam Kumaran: Okay? The only other.

878 01:19:38.440 01:19:41.390 Uttam Kumaran: The only other meeting I want to

879 01:19:41.720 01:19:46.059 Uttam Kumaran: add you to is the Me. Jacob is meeting with the wild team.

880 01:19:46.638 01:19:50.519 Uttam Kumaran: Would you want to be included on that? Or should we let him handle that.

881 01:19:51.810 01:19:55.509 Nicolas Sucari: Yeah, I I I like to join the call, even even though if I

882 01:19:55.720 01:19:58.299 Nicolas Sucari: got nothing to do at it, just to hear about.

883 01:19:58.300 01:20:04.550 Uttam Kumaran: I’m like I’m the same way. I’m the same way, like I’ll just be it cause I like to hear everything and kind of just get a sense.

884 01:20:05.150 01:20:12.349 Nicolas Sucari: I mean, if you if you don’t expect me to answer something or to do something that’s fine. I would like to go to just

885 01:20:12.390 01:20:17.240 Nicolas Sucari: be aware of stuff. Just as I joined here with Jacob and you, because I think it’s

886 01:20:17.290 01:20:21.359 Nicolas Sucari: super useful for me to start understanding parts of the business. So yeah.

887 01:20:21.490 01:20:23.066 Uttam Kumaran: Okay, perfect. And then,

888 01:20:23.510 01:20:24.270 Uttam Kumaran: okay. Great.

889 01:20:26.940 01:20:27.980 Uttam Kumaran: I think.

890 01:20:28.190 01:20:29.020 Nicolas Sucari: Excellent.

891 01:20:29.500 01:20:34.330 Uttam Kumaran: It’s I think I know it’s not end of the week yet, but this has been an awesome week. By the way, like

892 01:20:34.430 01:20:38.510 Uttam Kumaran: I I’m again. I’m very happy that

893 01:20:38.600 01:20:41.649 Uttam Kumaran: you’re joining. And I’ve been talking that whole team about like

894 01:20:42.000 01:21:02.109 Uttam Kumaran: I feel like a really, you know, so I really appreciate again. Your energy is is amazing. And I think we’re what you said to what you said to to Jared today, which was like, we’re building it from the ground up that like really stuck with me. And I agree like, that’s the. It’s a very unique position. But

895 01:21:02.360 01:21:05.524 Uttam Kumaran: also we can do things the right way.

896 01:21:06.440 01:21:07.389 Nicolas Sucari: Yeah, of course.

897 01:21:07.440 01:21:07.990 Uttam Kumaran: So.

898 01:21:07.990 01:21:25.689 Nicolas Sucari: I mean, it’s really interesting. And for me, too, it was like a great week starting to know a little bit more of everyone on the team, and also what we are trying to achieve the different clients and the different tools. It’s kind of a new world for me, too. I understand, kind of different things of of Gitka, because my

899 01:21:25.690 01:21:45.719 Nicolas Sucari: past job. But it’s kind of everything is new data. World is new for me. So, yeah, I’m really excited to to start learning a lot and help to create these processes and stuff that we that I think it will make us work like, in a better word, better, better way, and then start growing. And yeah.

900 01:21:45.910 01:21:48.190 Nicolas Sucari: having more clients or more people probably.

901 01:21:48.340 01:21:57.299 Uttam Kumaran: Yeah. And I also, I also think, though hopefully, the work is a little bit more interesting than just like, make this button, or make a dropdown or something, you know.

902 01:21:57.580 01:21:58.320 Nicolas Sucari: How do you.

903 01:21:58.320 01:22:05.840 Uttam Kumaran: You know, cause we’re actually getting to see tickets and stuff like that. So that’s what I like the most. That’s it. Like the work. It seems more businessy than

904 01:22:06.110 01:22:06.840 Uttam Kumaran: you know.

905 01:22:06.840 01:22:20.689 Nicolas Sucari: No, but but I think I think it’s fine, because we we will have like both kind of stuff along the way. For example, what we are doing on AI with us to link. I think that it’s pretty cool. So yeah, really interesting.

906 01:22:21.004 01:22:29.259 Nicolas Sucari: Oh, yeah, sometimes you get to create a button. But sometimes you get to create better better things and more interesting stuff. So yeah, it’s part of the job.

907 01:22:29.260 01:22:29.820 Uttam Kumaran: Yeah.

908 01:22:30.320 01:22:32.819 Uttam Kumaran: Okay. Alright. Cool. Well, I’ll talk to you tomorrow.

909 01:22:33.127 01:22:35.279 Nicolas Sucari: By your time for a nice trip.

910 01:22:35.280 01:22:36.680 Uttam Kumaran: Thanks. Appreciate it.

911 01:22:36.680 01:22:37.340 Nicolas Sucari: Bye, bye.