Meeting Title: Analysis-Planning-Session Date: 2024-07-15 Meeting participants: Jakob Kagel, Nicolas Sucari, Uttam Kumaran
WEBVTT
1 00:00:48.900 ⇒ 00:00:49.880 Nicolas Sucari: Hi, actually.
2 00:00:52.190 ⇒ 00:00:53.090 Akshay kumar.G: And on the book.
3 00:00:56.090 ⇒ 00:00:56.910 Nicolas Sucari: How are you?
4 00:00:57.960 ⇒ 00:00:59.260 Akshay kumar.G: Yeah, I’m saying, horrible.
5 00:01:01.400 ⇒ 00:01:02.470 Nicolas Sucari: Oh, fine!
6 00:01:37.410 ⇒ 00:01:38.380 Jakob Kagel: Okay. I’m.
7 00:01:40.210 ⇒ 00:01:41.349 Nicolas Sucari: I’m good here.
8 00:01:42.520 ⇒ 00:01:44.469 Jakob Kagel: Congrats on the W.
9 00:01:45.800 ⇒ 00:01:46.430 Nicolas Sucari: Thanks!
10 00:01:47.890 ⇒ 00:01:49.682 Jakob Kagel: It was crazy.
11 00:01:50.990 ⇒ 00:01:51.930 Nicolas Sucari: Yeah. Man.
12 00:01:53.564 ⇒ 00:01:55.739 Jakob Kagel: Breaking into the stadium.
13 00:01:56.650 ⇒ 00:01:58.470 Nicolas Sucari: Was crazy. Too many people.
14 00:01:58.880 ⇒ 00:02:00.040 Jakob Kagel: Yeah, yeah.
15 00:02:00.560 ⇒ 00:02:01.760 Jakob Kagel: amazing.
16 00:02:03.870 ⇒ 00:02:04.570 Nicolas Sucari: Yep.
17 00:02:26.050 ⇒ 00:02:28.469 Jakob Kagel: Is is utop gonna be on this call.
18 00:02:30.240 ⇒ 00:02:32.320 Nicolas Sucari: I’m not sure. Let me.
19 00:02:32.320 ⇒ 00:02:33.369 Jakob Kagel: You just ping me.
20 00:02:33.370 ⇒ 00:02:33.960 Nicolas Sucari: Him.
21 00:02:34.920 ⇒ 00:02:39.180 Jakob Kagel: I’m just gonna say, like, if you can just jump on the call, we can just talk real quick.
22 00:02:39.710 ⇒ 00:02:44.580 Nicolas Sucari: Yeah, probably, if you can answer that and tell him we’re on the call already.
23 00:02:47.430 ⇒ 00:02:48.070 Jakob Kagel: Yeah.
24 00:02:50.660 ⇒ 00:02:52.019 Nicolas Sucari: Yeah, I think there are
25 00:02:52.070 ⇒ 00:02:53.900 Nicolas Sucari: kind of things we need to
26 00:02:54.330 ⇒ 00:02:55.360 Nicolas Sucari: talks.
27 00:02:55.400 ⇒ 00:03:00.249 Nicolas Sucari: 1st of all, I I will already talk with Patrick, and he’s gonna try to fix
28 00:03:00.330 ⇒ 00:03:03.819 Nicolas Sucari: that evident deploy. Or why
29 00:03:04.080 ⇒ 00:03:05.600 Nicolas Sucari: is that not working?
30 00:03:06.170 ⇒ 00:03:10.460 Nicolas Sucari: He’s gonna start digging into it because we we couldn’t make it work last week.
31 00:03:23.750 ⇒ 00:03:28.549 Jakob Kagel: yeah, I mean, I’m having a bit of an issue with the S code as well, like.
32 00:03:28.890 ⇒ 00:03:32.009 Jakob Kagel: I had some issues last week with Snowflake that
33 00:03:32.450 ⇒ 00:03:41.390 Jakob Kagel: I got resolved. But there was a blocker. But I’m having a little bit of issue like with the python interpreter. That it’s like
34 00:03:41.740 ⇒ 00:03:54.510 Jakob Kagel: not even though I’m like installing the packages like on my computer. It’s not like reading them for some reason, and I don’t know. I’ve been using Chad Gbt trying to figure it out. But I just cannot
35 00:03:54.890 ⇒ 00:03:56.879 Jakob Kagel: get through this stupid thing.
36 00:03:59.200 ⇒ 00:03:59.990 Nicolas Sucari: Yeah.
37 00:04:02.520 ⇒ 00:04:05.572 Nicolas Sucari: I’m afraid i i i can’t help you on that one.
38 00:04:05.850 ⇒ 00:04:08.720 Jakob Kagel: That’s fine. No worries. Let me figure it out.
39 00:04:28.110 ⇒ 00:04:32.280 Jakob Kagel: Oh, yeah, I just pinged him real quick. Let’s just see real quick. He’ll jump on.
40 00:05:52.240 ⇒ 00:05:52.970 Uttam Kumaran: And guys.
41 00:05:55.330 ⇒ 00:05:56.060 Jakob Kagel: Hi! How’s it going.
42 00:05:56.060 ⇒ 00:05:56.830 Nicolas Sucari: Hey, Tom!
43 00:05:58.100 ⇒ 00:06:01.070 Uttam Kumaran: Hey? Good. Sorry. I was just like working on
44 00:06:01.580 ⇒ 00:06:05.020 Uttam Kumaran: some stuff. Yeah, I didn’t know we had much to chat about.
45 00:06:05.650 ⇒ 00:06:12.929 Jakob Kagel: Yeah, no worries. I manage that. I mean, rather just chat real quick. Then type everything out. So
46 00:06:13.060 ⇒ 00:06:15.751 Jakob Kagel: yeah, I mean on the
47 00:06:16.920 ⇒ 00:06:20.123 Jakob Kagel: the shipping stuff. So I’m trying to do the
48 00:06:20.540 ⇒ 00:06:41.571 Jakob Kagel: The thing that you suggested, like with the python script. I was able to like connect to it like on Friday, like through versus code. But I was having issues with it. Today, like with my python interpreter. So I’m trying to figure that out real quick but was gonna do that. And then, of course, like we got the list of the
49 00:06:42.120 ⇒ 00:06:44.945 Jakob Kagel: shipping warehouses like from Unis.
50 00:06:45.660 ⇒ 00:06:57.326 Jakob Kagel: So I’m planning to plug like, I don’t know 3 to 5 of those in basically to the table. That we have like with the other existing warehouses like with California, Florida and
51 00:06:59.420 ⇒ 00:07:18.169 Jakob Kagel: with the New York. Yeah, so it can plug those into the table. And then we can basically just do like you like I did before, and have the logic. For, like the ideal shipping zone, so we can say, basically like, with each warehouse like this is how many like would ship out of there.
52 00:07:18.638 ⇒ 00:07:26.399 Jakob Kagel: We were supposed to meet with Chuck last week, but show up to the meeting, so we were gonna reschedule like for early this week.
53 00:07:29.590 ⇒ 00:07:30.130 Jakob Kagel: Okay.
54 00:07:30.130 ⇒ 00:07:33.870 Uttam Kumaran: Yeah, on the so on the snowflake or python
55 00:07:34.050 ⇒ 00:07:37.130 Uttam Kumaran: interpreter side you can. Are you running like a
56 00:07:37.150 ⇒ 00:07:38.850 Uttam Kumaran: you can run snowflake?
57 00:07:38.930 ⇒ 00:07:40.980 Uttam Kumaran: You run notebooks directly in Snowflake.
58 00:07:41.270 ⇒ 00:07:42.670 Uttam Kumaran: It’s like a new.
59 00:07:43.710 ⇒ 00:07:45.329 Jakob Kagel: Oh, really like from the from.
60 00:07:45.330 ⇒ 00:07:45.750 Uttam Kumaran: Oh!
61 00:07:45.983 ⇒ 00:07:46.450 Jakob Kagel: That’s good!
62 00:07:46.450 ⇒ 00:07:48.449 Uttam Kumaran: That would be my suggestion.
63 00:07:48.450 ⇒ 00:07:52.818 Jakob Kagel: Okay, I’ll do that. Yeah. I didn’t even think of doing that. Yeah.
64 00:07:53.350 ⇒ 00:07:57.799 Uttam Kumaran: Yeah, there it’s. It’s just brand new. So maybe like a few months ago. So I just sent
65 00:07:57.920 ⇒ 00:07:58.475 Uttam Kumaran: this
66 00:07:59.380 ⇒ 00:08:00.440 Uttam Kumaran: docs
67 00:08:01.053 ⇒ 00:08:04.190 Uttam Kumaran: in slack. So you should be able to see that
68 00:08:04.766 ⇒ 00:08:05.799 Uttam Kumaran: and then.
69 00:08:05.820 ⇒ 00:08:09.160 Uttam Kumaran: yeah, I I was hoping that again. Basically, we could just plug in.
70 00:08:09.520 ⇒ 00:08:13.999 Uttam Kumaran: you know all, or however, many of the ones look, they said that basically.
71 00:08:14.150 ⇒ 00:08:15.050 Uttam Kumaran: we
72 00:08:15.430 ⇒ 00:08:19.339 Uttam Kumaran: yeah, ideally, we have at least a, we should open it here
73 00:08:19.790 ⇒ 00:08:21.550 Uttam Kumaran: even better would be
74 00:08:22.360 ⇒ 00:08:23.510 Uttam Kumaran: basically.
75 00:08:23.730 ⇒ 00:08:26.629 Uttam Kumaran: the mapping which is like these places need to ship from
76 00:08:27.080 ⇒ 00:08:28.700 Uttam Kumaran: this. These warehouses.
77 00:08:29.160 ⇒ 00:08:30.799 Jakob Kagel: Right. I mean, we can do that right.
78 00:08:30.800 ⇒ 00:08:33.129 Uttam Kumaran: We’ll need that on. We’ll need that on our end.
79 00:08:33.549 ⇒ 00:08:36.629 Jakob Kagel: Yeah, I mean, we can say what needs to. I mean.
80 00:08:37.749 ⇒ 00:08:42.649 Jakob Kagel: this is just assuming. Like, you know, distance is sort of like.
81 00:08:42.759 ⇒ 00:08:50.019 Jakob Kagel: but based on distance. Like, yeah, we can do that right now, based on just the shipping zones and say, like, since we have the zip codes for the week.
82 00:08:50.020 ⇒ 00:08:58.119 Uttam Kumaran: So that’s what we need is like, once you once you have the 4th one, then it’s basically I need a mapping of zip code to warehouse like
83 00:08:58.720 ⇒ 00:09:04.910 Uttam Kumaran: customer zip codes to what warehouse basically cause. Then that that’s how we will actually program shopify.
84 00:09:05.390 ⇒ 00:09:09.239 Jakob Kagel: Right? We can do that. Yeah, no problem. I guess. Like
85 00:09:10.500 ⇒ 00:09:20.303 Jakob Kagel: as far as like the 4th one, I mean, I don’t know. I was thinking about it more like I was saying, like, we’ll look at like 3 or 4, maybe
86 00:09:20.760 ⇒ 00:09:30.789 Jakob Kagel: just to see. I mean, of course, like the center of gravity will give us like one location, but they have a couple in Texas. They have a couple that are like in West Tennessee.
87 00:09:30.820 ⇒ 00:09:33.809 Jakob Kagel: like I think so.
88 00:09:34.372 ⇒ 00:09:36.310 Jakob Kagel: I don’t know. I think it’s.
89 00:09:36.310 ⇒ 00:09:37.280 Uttam Kumaran: Yeah. However.
90 00:09:37.280 ⇒ 00:09:37.680 Jakob Kagel: With like.
91 00:09:37.680 ⇒ 00:09:39.579 Uttam Kumaran: However many. I didn’t know whether it was like.
92 00:09:40.760 ⇒ 00:09:51.419 Uttam Kumaran: Yeah, I don’t know whether it was like you had to adding another one would take any longer. But if there’s if, of course we don’t, we’re not looking for another one in California. You’re just looking for the ones that are like.
93 00:09:51.820 ⇒ 00:09:52.809 Jakob Kagel: In that area yeah.
94 00:09:52.810 ⇒ 00:09:55.199 Uttam Kumaran: Texas, North Texas, or whatever? Yeah.
95 00:09:55.540 ⇒ 00:09:58.923 Jakob Kagel: Right? Right? Yeah, okay, yeah, that sounds good. And then,
96 00:09:59.640 ⇒ 00:10:12.770 Jakob Kagel: I know. Yeah. Akshay, like, has the sales page like for evidence basically ready. But we’re just sort of having like a technical issue there that I think Patrick is working on. Nico said so
97 00:10:12.780 ⇒ 00:10:15.469 Jakob Kagel: hopefully, we can have that up and running soon.
98 00:10:17.420 ⇒ 00:10:21.520 Uttam Kumaran: Yeah, that’s the that’s the main blocker there. I didn’t know if there’s any other stuff
99 00:10:21.830 ⇒ 00:10:24.520 Uttam Kumaran: on the backlog that maybe we can
100 00:10:24.580 ⇒ 00:10:26.430 Uttam Kumaran: have actually started working on.
101 00:10:26.930 ⇒ 00:10:32.639 Jakob Kagel: Yeah, I mean, I think, actually started probably on the like, the mapping sort of like.
102 00:10:32.640 ⇒ 00:10:33.640 Uttam Kumaran: Oh, yeah.
103 00:10:33.900 ⇒ 00:10:35.133 Jakob Kagel: Talked about
104 00:10:35.830 ⇒ 00:10:39.870 Jakob Kagel: so I would say, that’s probably the next one that we can try to knock out right.
105 00:10:41.070 ⇒ 00:10:45.204 Uttam Kumaran: Yeah, actually, you have this. This is the ticket. Yeah, this would be great to
106 00:10:46.530 ⇒ 00:10:47.979 Uttam Kumaran: to get started on.
107 00:10:51.080 ⇒ 00:10:55.889 Akshay kumar.G: Yeah, I’m working on. Actually, like, last week we had some deadlines for our application.
108 00:10:56.080 ⇒ 00:10:57.650 Akshay kumar.G: I didn’t go with all like
109 00:10:57.720 ⇒ 00:11:02.689 Akshay kumar.G: now, like, I started reading the dog own business, like where I found new things like some.
110 00:11:02.860 ⇒ 00:11:09.929 Akshay kumar.G: for, like better utilization, there are something called Jason Id, and like learning those things and trying to incorporate this.
111 00:11:10.810 ⇒ 00:11:11.930 Akshay kumar.G: I I thought it all.
112 00:11:11.930 ⇒ 00:11:12.880 Uttam Kumaran: Okay, yeah.
113 00:11:13.040 ⇒ 00:11:18.939 Uttam Kumaran: yeah. And you’re looking at stuff for, like doing the mapping right? Like having an actual Us map and things like that.
114 00:11:19.280 ⇒ 00:11:25.969 Akshay kumar.G: Yes, yes, yes, like in the there, like different things like to get the actual like making it like more better, or something.
115 00:11:26.430 ⇒ 00:11:29.449 Akshay kumar.G: some geoid something like they started learning the dog.
116 00:11:29.470 ⇒ 00:11:30.590 Akshay kumar.G: and they’ll say, start of it.
117 00:11:31.630 ⇒ 00:11:33.060 Uttam Kumaran: Okay. Okay, great.
118 00:11:34.160 ⇒ 00:11:37.230 Uttam Kumaran: Yeah, that’ll be amazing to like, kind of start getting done. So.
119 00:11:37.810 ⇒ 00:11:43.549 Jakob Kagel: Right exactly, and don’t worry about like not being able to publish at the moment, or whatever, as long as we can.
120 00:11:43.550 ⇒ 00:11:43.880 Uttam Kumaran: Yeah.
121 00:11:43.880 ⇒ 00:11:44.540 Jakob Kagel: Result.
122 00:11:45.890 ⇒ 00:11:46.600 Uttam Kumaran: Yeah, I, I.
123 00:11:46.600 ⇒ 00:11:47.000 Nicolas Sucari: Yeah, what?
124 00:11:47.000 ⇒ 00:11:51.010 Uttam Kumaran: Locally, and it works on my machine. It’s just the Nami hosting thing. So we’re pretty much.
125 00:11:52.190 ⇒ 00:12:03.770 Jakob Kagel: Yeah, sounds great. Okay? I mean, that’s it for me. Honestly. Yeah, I appreciate you bringing that. I didn’t know that you could run the notebooks like in snowflakes. So I’ll do that right now. But.
126 00:12:03.770 ⇒ 00:12:05.960 Uttam Kumaran: Yeah. Hope it’s a little bit easier. Yeah.
127 00:12:06.710 ⇒ 00:12:10.540 Jakob Kagel: Yeah, for sure. I mean, all this like, connection stuff with vs, it’s like.
128 00:12:10.870 ⇒ 00:12:14.430 Jakob Kagel: can be a little tricky sometimes. But yeah, yeah, sounds good.
129 00:12:15.460 ⇒ 00:12:16.080 Uttam Kumaran: Account.
130 00:12:18.990 ⇒ 00:12:24.719 Jakob Kagel: Cool. Yeah. Well, we won’t take any more of your time. Unless you have any questions.
131 00:12:25.770 ⇒ 00:12:28.419 Uttam Kumaran: I think that’s it. Yeah, Nika, anything from your side.
132 00:12:28.420 ⇒ 00:12:39.439 Nicolas Sucari: No, I’m I’m gonna change the meetings with Kim and Chuck to be the same day as you request to do some so that we can have them both on Wednesday, probably. So yeah, we’re gonna like.
133 00:12:40.264 ⇒ 00:12:47.687 Jakob Kagel: I mean I I’m I can do it, but I will say my Wednesday is packed this week.
134 00:12:48.220 ⇒ 00:12:52.592 Jakob Kagel: so Tuesday or Thursday would be a little bit more ideal.
135 00:12:52.990 ⇒ 00:12:55.530 Uttam Kumaran: Thurs Thursday is fine as long as they’re just like.
136 00:12:55.530 ⇒ 00:12:56.280 Nicolas Sucari: And all great.
137 00:12:56.590 ⇒ 00:13:02.630 Jakob Kagel: Yeah, I can make it work on Wednesday, like, yeah, exactly, if we absolutely have to, probably. But yeah, Thursday is a little bit.
138 00:13:02.630 ⇒ 00:13:04.738 Uttam Kumaran: I just want to stack them.
139 00:13:05.270 ⇒ 00:13:05.650 Jakob Kagel: Right.
140 00:13:05.650 ⇒ 00:13:09.279 Uttam Kumaran: Is my schedule. Like, I’m basically planning out the next 2 weeks. And I’m like.
141 00:13:09.820 ⇒ 00:13:12.290 Uttam Kumaran: just screwed. So yeah, during the day.
142 00:13:12.290 ⇒ 00:13:18.590 Jakob Kagel: I’m trying to meet tomorrow, too, if if we prefer that, tomorrow’s actually good for me. But
143 00:13:19.069 ⇒ 00:13:19.909 Jakob Kagel: I’m okay.
144 00:13:19.910 ⇒ 00:13:29.680 Nicolas Sucari: Let’s have it on Thursday, and so that we can leave like the meeting recurrent for every week, so that we can start like jumping with them every Thursday. Okay.
145 00:13:30.330 ⇒ 00:13:31.010 Jakob Kagel: Okay.
146 00:13:31.310 ⇒ 00:13:32.409 Jakob Kagel: Sounds. Great.
147 00:13:32.970 ⇒ 00:13:43.649 Uttam Kumaran: Yeah. And and honestly, like, what we can do is if we get this analysis done tomorrow like you could just send. We’ll just send the notion, anyways, and then be like we’ll talk to you. I mean we can. We can still move forward.
148 00:13:45.850 ⇒ 00:13:46.440 Nicolas Sucari: Yeah.
149 00:13:47.040 ⇒ 00:13:47.933 Jakob Kagel: Sounds good.
150 00:13:48.740 ⇒ 00:13:49.480 Nicolas Sucari: Perfect.
151 00:13:51.340 ⇒ 00:13:52.570 Uttam Kumaran: Okay. Cool.
152 00:13:53.960 ⇒ 00:13:54.785 Jakob Kagel: Alright.
153 00:13:55.770 ⇒ 00:13:57.570 Jakob Kagel: We’ll talk soon. See? Y’all.
154 00:13:57.930 ⇒ 00:13:59.730 Nicolas Sucari: Guys, bye, bye, bye.
155 00:13:59.940 ⇒ 00:14:00.819 Akshay kumar.G: Yeah, thank, you.