Meeting Title: Weekly-Data-Review Date: 2024-03-15 Meeting participants: Bencohen, Uttam Kumaran
WEBVTT
1 00:01:16.120 ⇒ 00:01:17.060 Uttam Kumaran: Hey, Ben.
2 00:01:17.640 ⇒ 00:01:18.950 bencohen: hey? How’s it going?
3 00:01:19.110 ⇒ 00:01:29.029 bencohen: Good! How are you all good? Him wants to do some sale I just told her to loop you in, because
4 00:01:29.260 ⇒ 00:01:33.890 Uttam Kumaran: I just don’t want to interfere with any testing that you may be doing.
5 00:01:34.310 ⇒ 00:01:41.759 bencohen: So. You should be hearing from her soon. Had that conversation with her. Looks like it was a busy week.
6 00:01:41.900 ⇒ 00:01:52.769 Uttam Kumaran: Yeah, there was a bunch of stuff, actually, that we got up to, which is awesome. I mean, the I would say, the one big highlight is the testing stuff. Looks like it’s gonna be
7 00:01:52.840 ⇒ 00:01:58.380 Uttam Kumaran: really strong. I mean, their product is basically like, optimizely. Except like.
8 00:01:58.450 ⇒ 00:02:14.620 Uttam Kumaran: I think we won’t even have to do a lot of the analysis. Frankly, like upfront, we can probably get a signal and then take that data, do some further stuff. But basically, the platform runs everything automatically. And it’s like, really tightly integrated with shopify. So
9 00:02:15.160 ⇒ 00:02:23.110 bencohen: perfect. Great, I mean. sounds like it’s gonna be pretty big value. Add. And it’s not very expensive. So it’s like,
10 00:02:23.280 ⇒ 00:02:25.070 bencohen: if it works, it’s a
11 00:02:25.220 ⇒ 00:02:30.729 Uttam Kumaran: yeah. And you know, they they have a ton of
12 00:02:30.830 ⇒ 00:02:53.920 Uttam Kumaran: They have a ton of case studies with a lot of other like pretty, massive retailers. So that was also pretty motivating. And then even their support team, they’re like, we’ll help, you understand? Like, what statistical significance like, what are some best practices running tests. So they’re even gonna pretty much. Offer us some help on like setting up first couple of initial ones. So it seems like, really good. And then they’re like, Yeah, you know.
13 00:02:54.010 ⇒ 00:03:01.209 Uttam Kumaran: you can. You can expect like something up to like 5% if we if we run some really good tests. And I was like, we haven’t done any testing. So
14 00:03:01.780 ⇒ 00:03:07.390 bencohen: I would say, that’s probably the baseline. I think we’re actually gonna see some good movement. So
15 00:03:07.920 ⇒ 00:03:14.100 Uttam Kumaran: I think that’s like the only other big thing. The other thing is like we’re
16 00:03:14.260 ⇒ 00:03:20.739 Uttam Kumaran: working on getting in the blue torrent like the new shopify stuff. But
17 00:03:20.840 ⇒ 00:03:24.320 Uttam Kumaran: the blue torn pool part the
18 00:03:25.100 ⇒ 00:03:31.619 bencohen: It’s just the parts and warranties. But yeah, yeah, it’ll just make your data
19 00:03:32.090 ⇒ 00:03:39.930 bencohen: more accurate, because it’s just the it’s the it’s the whatever. If we were 2% off before this will correct that last little bit.
20 00:03:41.170 ⇒ 00:03:41.960 Uttam Kumaran: Okay.
21 00:03:42.150 ⇒ 00:03:46.769 bencohen: it’s not much. There’s not much activity there, at least in my it. I could be missing, but
22 00:03:46.940 ⇒ 00:03:54.770 bencohen: I don’t see all that much going on there. You’ll see. I mean, you’ll know better than me.
23 00:03:55.200 ⇒ 00:04:02.610 Uttam Kumaran: You sound sick. You got a cold yeah, I just like I had. I had family visiting and
24 00:04:02.690 ⇒ 00:04:12.959 Uttam Kumaran: just like didn’t get much sleep. And then, yeah, just like, I mean, because it’s like, I think the weather shifting. I had like a cough, and then a little bit of like cold, and
25 00:04:13.220 ⇒ 00:04:21.169 Uttam Kumaran: I don’t know. I feel fine. It’s, you know, just gonna sound nicely for yeah, yeah, I feel like I’m a little bit sick, but
26 00:04:21.589 ⇒ 00:04:33.420 bencohen: it’s the same. It’s 60. It’s 60 degrees here, which is too hot for II either allergies or whatever I’ve got, just, you know.
27 00:04:33.880 ⇒ 00:04:49.680 Uttam Kumaran: Alright. Well, what’s up with Patrick? Are we going to see something soon? Yeah. II message him today? He said. He’s he was traveling late night and just got in like, really early, so he wasn’t able to make this. But I just sent him a note this morning saying, Send an update
28 00:04:49.750 ⇒ 00:04:51.970 Uttam Kumaran: and then grab some time.
29 00:04:52.960 ⇒ 00:04:54.380 bencohen: Got it. Okay?
30 00:04:54.450 ⇒ 00:04:59.370 Uttam Kumaran: So I don’t see what you’ve got. Yeah. And I don’t think much else.
31 00:04:59.830 ⇒ 00:05:10.670 bencohen: So update, I, I’m hoping that like we can circle back on all the Unis stuff like next month. Yeah, I actually have a good update there. II finally intervened for the first time.
32 00:05:11.660 ⇒ 00:05:14.330 Uttam Kumaran: So I called Michael yesterday. Okay.
33 00:05:14.370 ⇒ 00:05:15.779 bencohen: I said,
34 00:05:16.620 ⇒ 00:05:19.950 bencohen: it seems like we’re close, and I only manage.
35 00:05:20.310 ⇒ 00:05:37.039 bencohen: you know, the day to day I don’t really deal. I haven’t dealt with you, but all of a sudden you’re very noisy in my day to day. So I need to know what’s going on. What’s gonna happen? Because I can’t do this because the customers are suffering. You explain to me where they’re at, I said. Would you be.
36 00:05:37.360 ⇒ 00:05:49.429 Uttam Kumaran: would II said. It sounds like you shouldn’t have been turned on, he said. I think you’re probably right, we shouldn’t have been turned on. He just said that he goes, yeah, I think it was maybe premature. And I said, Okay.
37 00:05:49.520 ⇒ 00:05:58.899 bencohen: I said, because he said, I have these 3 companies. I’m I haven’t picked one yet. I’m still negotiating. We don’t have a daily pickup because we don’t have this in place yet so like
38 00:05:59.320 ⇒ 00:06:08.260 bencohen: if you order to. He pump yesterday, which yesterday, like lunchtime, when I called him, he was like it won’t be picked up till Monday at the at the best. And I said, Okay, listen.
39 00:06:08.960 ⇒ 00:06:16.890 bencohen: We have 2 pickups a day at our warehouse. It’s expensive, but our customers don’t suffer, so I’m going to shut you off
40 00:06:17.200 ⇒ 00:06:19.999 bencohen: until you finalize everything
41 00:06:20.120 ⇒ 00:06:22.390 Uttam Kumaran: and we’ll turn you back on.
42 00:06:22.520 ⇒ 00:06:30.439 bencohen: And he said, that sounds great. So we did it effective immediately. So there’s no problems right now. It sounds like the technical side of things is handled.
43 00:06:30.970 ⇒ 00:06:37.150 Uttam Kumaran: It’s handled. But it’s I’m I’m not gonna lie. It’s like a it’s kind of like a Band-aid.
44 00:06:37.710 ⇒ 00:06:42.130 Uttam Kumaran: II think there are easier ways for them to just
45 00:06:42.400 ⇒ 00:06:46.000 Uttam Kumaran: market as fulfilled by Unis in Shopify.
46 00:06:46.170 ⇒ 00:06:50.770 Uttam Kumaran: and then it like just goes away cause they handle it.
47 00:06:50.980 ⇒ 00:06:56.060 Uttam Kumaran: So I don’t know. I think what we have is gonna continue to like, have some issues.
48 00:06:56.340 ⇒ 00:07:05.669 bencohen: The issues that I’m hearing now are not having to do with ingestion of data. It’s purely that they’re not
49 00:07:06.070 ⇒ 00:07:21.129 Uttam Kumaran: getting them out to the customer. Yeah, I mean, I’ve been working with chuck a little bit on like the data ingestion stuff. And we’ve been patching stuff as like, oh, we need to split these orders. Oh, we need to mark this as unis and only ship these. And so
50 00:07:21.160 ⇒ 00:07:25.710 Uttam Kumaran: I mean, II would say you’re right. It’s probably not. The priority in terms of
51 00:07:26.100 ⇒ 00:07:30.620 Uttam Kumaran: doesn’t directly affect the customers. We pee pretty much is catching if anything goes through. So
52 00:07:30.970 ⇒ 00:07:33.600 bencohen: yeah. so
53 00:07:34.580 ⇒ 00:07:44.659 bencohen: yeah. So anyway, I mean that from a customer’s perspective. We’re gonna be all good there for a little while, and then when we turn them back on next week or the following, when they
54 00:07:44.850 ⇒ 00:07:56.889 bencohen: finish the paperwork and and schedule the daily pickup with whichever vendor then we’ll we’ll put it back on, and we’ll monitor if there’s any data issues there may be, but it sounds like
55 00:07:57.250 ⇒ 00:08:00.140 Uttam Kumaran: the bulk is done. So okay.
56 00:08:01.320 ⇒ 00:08:03.720 bencohen: But I finally had to intervene and say, All right.
57 00:08:03.920 ⇒ 00:08:08.299 bencohen: we can’t. This can’t continue like II kinda it was like the adult and room. And I was like, listen.
58 00:08:08.660 ⇒ 00:08:24.630 bencohen: this can’t keep going on. What’s going on. What’s gonna happen? I need to make a decision right now, and totally I think it was. I may have gotten involved too late. Problem. It’s probably my fault. It’s just like kind of like. Why did he? Why did they even say that they knew that this was an issue
59 00:08:24.670 ⇒ 00:08:27.759 Uttam Kumaran: I’m feeling? Dan pushed them.
60 00:08:27.840 ⇒ 00:08:32.950 bencohen: I feel like he was like, let’s like, you know, we’re sending you inventory. Start shipping it. And they weren’t quite ready.
61 00:08:34.630 ⇒ 00:08:39.999 Uttam Kumaran: Yeah, okay, but I mean, even we we’ve been talking about it for like months.
62 00:08:40.159 ⇒ 00:08:41.049 Uttam Kumaran: Right?
63 00:08:42.090 ⇒ 00:08:49.679 Uttam Kumaran: Yeah, yeah. Okay. But but they, you know, like, at the end of the day the Threepl has to cut a deal with.
64 00:08:49.740 ⇒ 00:09:01.679 bencohen: you know, and they have to have a you know they have. They have to have their own fee with them. Then we we pay a percentage, you know, if we pay 100 bucks we’ll pay you this 10 bucks
65 00:09:01.770 ⇒ 00:09:07.629 bencohen: but they just haven’t finalized that. And so they’ve been doing ad hoc. So whenever there is one.
66 00:09:07.980 ⇒ 00:09:12.209 bencohen: it’s costing probably as much as we pay from New York.
67 00:09:12.320 ⇒ 00:09:35.180 bencohen: And we’re paying it now is like, well, this doesn’t make any sense. It’s and you guys aren’t even picking it up immediately, like, if it was daily. it would be fine, cause it’s like whatever it’s about the same cost and the customers getting it quicker. But we’re having stuff where it’s like up to 2 weeks. Not getting picked up like these are totally not data issues. Yeah, yeah, I didn’t. I didn’t even know that cause I couldn’t even see
68 00:09:35.850 ⇒ 00:09:39.120 Uttam Kumaran: those shipments at all. So yeah, that makes sense.
69 00:09:39.880 ⇒ 00:10:03.200 bencohen: Yeah, alright. Well, listen feel better. Sounds like we’re doing good here talk to Kim today. So at least you just know what’s going on. I don’t know when the tests are beginning. But yeah, I actually added her. So we’re doing like a kickoff with them. Next week. I’m actually added. So we’ll all be on the same page, basically because I think she can actually start running some content tests on the site. And then
70 00:10:03.230 ⇒ 00:10:08.400 Uttam Kumaran: I think again, it’ll just be a learning curve for all of us, just like how the tool works.
71 00:10:08.480 ⇒ 00:10:15.589 Uttam Kumaran: I’ll just include her on. I’m basically including her on on as much as we can, and so just see some good stuff.
72 00:10:15.660 ⇒ 00:10:21.450 bencohen: Awesome, awesome. Alright I think that’s good for now I’ll talk to you later.
73 00:10:21.840 ⇒ 00:10:22.630 bencohen: Right.