Meeting Title: Uttam <> Ben - Discounts-Warranties Date: 2024-02-26 Meeting participants: Ben Iphone, Uttam Kumaran
WEBVTT
1 00:00:08.034 ⇒ 00:00:13.673 Uttam Kumaran: couple of questions that I had was one, what’s the overall impact of warranties? Second.
2 00:00:14.414 ⇒ 00:00:23.004 Uttam Kumaran: question is like which products are having issues with warranties. Third is, how are we measuring warranties right now?
3 00:00:23.074 ⇒ 00:00:26.124 Uttam Kumaran: So basically, what we looked at was
4 00:00:26.144 ⇒ 00:00:37.274 ben iphone : warranty when in our understanding of the someone requests a warranty and they get a replacement. So basically, the cost of the company is the shipping and the cost of goods sold. So not exactly
5 00:00:37.354 ⇒ 00:00:48.753 Uttam Kumaran: the sale price. So basically, we noticed that there’s about like since January first 2022. There’s about like 231 K. Of
6 00:00:48.824 ⇒ 00:00:55.133 Uttam Kumaran: cost of goods sold. related related to replacements for warranties for shopify.
7 00:00:55.334 ⇒ 00:00:56.214 ben iphone : Yeah.
8 00:00:56.504 ⇒ 00:01:05.953 Uttam Kumaran: And this is like about, you know, 2 of the total. And then what we found was basically, there were a couple of skews that were
9 00:01:06.034 ⇒ 00:01:15.883 Uttam Kumaran: the highest accounting. So the 1, 5,200, 300, that their highest claim skews by quantity. But the claim rate is low.
10 00:01:16.064 ⇒ 00:01:21.113 ben iphone : We sell a lot, but the percent of people who have an issue is.
11 00:01:21.124 ⇒ 00:01:32.794 Uttam Kumaran: yeah. The other things that we found is that the the cfts in particular the Cft 32 is the one that has
12 00:01:32.834 ⇒ 00:01:35.243 Uttam Kumaran: like, nearly like a 10%.
13 00:01:35.824 ⇒ 00:01:43.783 ben iphone : It’s yeah. I’ve been talking about this one for years. And Dan kept me. I basically, I said the issue was.
14 00:01:43.874 ⇒ 00:01:47.614 ben iphone : people who are buying it don’t have real pools.
15 00:01:47.784 ⇒ 00:01:52.664 ben iphone : He thought. I was like making a joke calling, or I wasn’t.
16 00:01:52.924 ⇒ 00:02:18.363 ben iphone : and I didn’t have data to back it up, and I knew what was happening was people that have, like Kitty pools like not real pools from Home Depot. The issue is, these are heaters. So they’re saying so, they’re basically saying that they’re buying from Costco like a $200 piece of plastic.
17 00:02:19.124 ⇒ 00:02:25.703 ben iphone : And they’re in. And they’re like, wow! It’s like actually a passable pool. But, like you know what I could, I would like for it to be a little bit warmer.
18 00:02:26.754 ⇒ 00:02:28.844 ben iphone : So they they go and find
19 00:02:29.504 ⇒ 00:02:50.504 ben iphone : a pool gray punk. And I’ve I’ve been. He was like, well, you need to back it up with data. And I was like dude like, I see pictures like I was like, these are not real pools. I was like, we can’t sell these to people like it’s, you know, we’re gonna we’re gonna melt. It’s gonna melt their whole shit like I was like, we can’t do it. Anyway. This is one that I’ve been saying for years to just cut.
20 00:02:50.654 ⇒ 00:02:59.324 Uttam Kumaran: Okay. So the product are you? Gonna so the other, the other thing. Okay.
21 00:02:59.484 ⇒ 00:03:02.004 ben iphone : it’s not expensive. It’s not expensive enough.
22 00:03:02.744 ⇒ 00:03:04.814 Uttam Kumaran: Yeah. The the other thing is like
23 00:03:04.884 ⇒ 00:03:11.034 Uttam Kumaran: the other. The other variables we have here is like changing. The one thing we looked at. The bottom, too, is
24 00:03:11.074 ⇒ 00:03:17.604 Uttam Kumaran: we looked at the distribution of warranty claims meaning, when were people issuing the claims?
25 00:03:18.094 ⇒ 00:03:27.863 Uttam Kumaran: Basically, it’s like, what are the levers you have? You may be able to offer less time on the warranty, or something that we found that most of the people are claiming the warranty within 90 days.
26 00:03:27.934 ⇒ 00:03:31.883 Uttam Kumaran: and the rest the highest rests are usually within
27 00:03:32.524 ⇒ 00:03:37.173 Uttam Kumaran: 180 to 365. So half a year to a year later.
28 00:03:37.284 ⇒ 00:03:41.553 Uttam Kumaran: 50% are within 90 days. So
29 00:03:42.564 ⇒ 00:03:48.664 Uttam Kumaran: I guess it doesn’t make much sense, because there people are claiming it well within the warranty time.
30 00:03:48.824 ⇒ 00:03:59.674 Uttam Kumaran: But you’re right in that that product, and maybe I can pull up a couple of his Zendesk things when we look into it for that product. But the replacement rate is really high, and then again, for those
31 00:03:59.834 ⇒ 00:04:10.764 Uttam Kumaran: like for last year was about 64,000 in cogs that we lost, and that’s not including any shipping costs. And that’s also not including Amazon. So I assume it’s linear for Amazon.
32 00:04:10.854 ⇒ 00:04:31.914 ben iphone : It’s a it’s, you know, Amazon. We sell. We move less heat pumps by a large mark. It’s a huge difference. But this is the $100,000 skew loss when I see that I don’t even, and Dan will argue. You know we’re not doing a good enough job with with messaging and content. While that’s true. This is a big loser.
33 00:04:32.354 ⇒ 00:04:33.794 Uttam Kumaran: Yeah, okay?
34 00:04:34.434 ⇒ 00:04:40.123 Uttam Kumaran: And it and it’s it’s about 3 times or 4 times higher.
35 00:04:40.514 ⇒ 00:04:45.114 Uttam Kumaran: like, in terms of like the the odds that it gets.
36 00:04:45.174 ⇒ 00:05:01.724 Uttam Kumaran: it gets claim for refund. I mean, 10% of the time. Like, 10% of the of the yeah. So that may be something that maybe I can. This data now exists here. The other thing that I wanted to talk about was
37 00:05:03.034 ⇒ 00:05:08.154 Uttam Kumaran: like. Otherwise the claim rates seem like pretty normal, like. I don’t know whether we have
38 00:05:08.424 ⇒ 00:05:18.463 Uttam Kumaran: any like goals around warranties, or if there’s any other things anecdotally that you knew about warranties in the last year or so, or you thought about going into this year that we should like look at. But
39 00:05:18.594 ⇒ 00:05:24.093 Uttam Kumaran: basically, we have now a baseline of the warranty rate. And we can start to measure against that.
40 00:05:26.534 ⇒ 00:05:27.334 ben iphone : Yeah.
41 00:05:28.544 ⇒ 00:05:29.384 ben iphone : Yeah.
42 00:05:29.604 ⇒ 00:05:37.403 ben iphone : So my thought is we, we’re pretty aware of the issues that exist with the Bt Vera line.
43 00:05:37.614 ⇒ 00:05:39.094 ben iphone : Those are motors.
44 00:05:39.714 ⇒ 00:05:44.503 ben iphone : We know the issue, the factories. Where of the issue we just have a lot to sell through.
45 00:05:56.964 ⇒ 00:06:02.853 ben iphone : It is the heat pumps, I’ve been saying for years we should not have
46 00:06:03.334 ⇒ 00:06:06.013 ben iphone : 6 or 7 different skews. We should
47 00:06:06.594 ⇒ 00:06:10.734 ben iphone : condense to 4 big key sizes so that
48 00:06:11.114 ⇒ 00:06:14.294 ben iphone : we can buy deeper in them.
49 00:06:14.414 ⇒ 00:06:22.134 ben iphone : And then we did. We did do it with the black and decker heat pumps. The black and decker heat pumps are basically the same. The 2 key differences are.
50 00:06:22.374 ⇒ 00:06:34.834 ben iphone : we only have 4 or 5 skews instead of like 8, and the shell is different. We don’t have the 32 in black and Decker. So
51 00:06:35.924 ⇒ 00:06:47.383 ben iphone : as we face out the Cft line, this will go away. I can just shut that off right now. this is really good.
52 00:06:47.864 ⇒ 00:06:59.044 ben iphone : I actually think it’d be interesting for you to go over this with Cody, because he knows qualitatively what is what is going on with everything I do I do to some degree, but he knows
53 00:07:00.114 ⇒ 00:07:01.483 ben iphone : to the, to the
54 00:07:01.534 ⇒ 00:07:06.443 ben iphone : it’s part. You guys should do this together, and I think we probably need a recommendation.
55 00:07:06.714 ⇒ 00:07:10.864 ben iphone : It’s nothing we don’t know. He’s already put forward a few proposals tests. But
56 00:07:10.964 ⇒ 00:07:15.853 ben iphone : if you guys put this together, and he’ll add a little muscle to it. It’d be really clear
57 00:07:16.194 ⇒ 00:07:26.024 ben iphone : what to do. So I would. Why don’t you just message him and say, let’s I like, I got some great insights. Let’s have a call today. I want to speak because I think actually, he’ll be excited to see
58 00:07:26.084 ⇒ 00:07:32.704 Uttam Kumaran: this in color. You know what I mean. Yeah, okay, I’ll do that. Yeah, that’d be great. I’m sure he knows. Like all the Zendesk.
59 00:07:32.964 ⇒ 00:07:37.394 ben iphone : Oh, that’s exactly this is what we’re seeing our last. So then, the other.
60 00:07:37.414 ⇒ 00:07:46.563 Uttam Kumaran: the other thing is on the, on the actual, like accounting side, meaning like how we all these warnings are coming in as 100 discount sales.
61 00:07:47.354 ⇒ 00:07:51.123 ben iphone : which is like a huge issue. Well, it’s it’s also
62 00:07:52.444 ⇒ 00:08:01.014 ben iphone : it’s inaccurate. which is a which is already bad. And it also gives a false sense of loss.
63 00:08:01.414 ⇒ 00:08:09.534 ben iphone : It’s not like it’s opportunity cost. So like, yes, if we didn’t have to do a warranty claim and give somebody something for free.
64 00:08:10.314 ⇒ 00:08:27.194 Uttam Kumaran: Had we held it and sold it full price we would have. So that’s where it’s like exactly as a week. We don’t. I don’t have the insight into where that product could have gone. But you’re right. Is that that product, instead of getting sold full price, is now getting shipped as a replacement.
65 00:08:27.314 ⇒ 00:08:38.584 Uttam Kumaran: And so I don’t know what percentage of the supply is earmarked for replacements versus full sales. But you’re certainly right. Is that like
66 00:08:39.024 ⇒ 00:08:43.614 Uttam Kumaran: this is evening to those getting sold at. So there is like, yeah, exactly like.
67 00:08:43.974 ⇒ 00:08:50.043 Uttam Kumaran: it’s not fully optimized. We’re los. We’re not making what we could have on that product. The other thing is.
68 00:08:50.184 ⇒ 00:09:02.993 Uttam Kumaran: discounts now is are very high. And this is where this originally came. Because I was like discounts. We’re we’re doing a lot of discounts this year. But then it’s actually from a lot of these warranties. And then, second is the number of orders per day
69 00:09:03.074 ⇒ 00:09:04.313 Uttam Kumaran: is also high.
70 00:09:05.014 ⇒ 00:09:13.524 Uttam Kumaran: Right. So gross sales is high meaning like we think there’s a ton of orders coming in. But a lot of those orders are 100 discount, so they don’t make it to the bottom line.
71 00:09:13.874 ⇒ 00:09:21.744 Uttam Kumaran: but the top line will still recognize that as. oh, these seapuns are getting ordered. These are the total sales amounts
72 00:09:21.894 ⇒ 00:09:27.513 Uttam Kumaran: so our like, our top line, is getting inflated. So this suggestion
73 00:09:27.664 ⇒ 00:09:28.923 Uttam Kumaran: I have is.
74 00:09:29.014 ⇒ 00:09:31.834 Uttam Kumaran: I want to book those as
75 00:09:31.884 ⇒ 00:09:37.633 Uttam Kumaran: refunds on the original order. meaning they never come in as sales.
76 00:09:37.684 ⇒ 00:09:51.994 Uttam Kumaran: So this this won’t require cause. We can actually do the link back. So we know for a given customer when a hundred percent discount item is given. I can link it back to the original order because Cody and team are putting it into the discount reason.
77 00:09:52.634 ⇒ 00:09:56.694 Uttam Kumaran: But basically, I wanna exclude this from sales.
78 00:09:57.774 ⇒ 00:10:09.543 Uttam Kumaran: But I guess that’s a question like it’s it’s going to be quite. It’ll change, or it’ll diverge our reporting from shopify. And again, we’ll do this on the Amazon side, too. So
79 00:10:09.954 ⇒ 00:10:19.774 Uttam Kumaran: this is like a. This is like us making reporting changes due to the process. Do you kind of see what I mean, because it’s not booked as a refund. We’re not giving cash back.
80 00:10:19.804 ⇒ 00:10:23.814 Uttam Kumaran: but it’s replacement that’s coming through the system. So it probably goes to the fulfillment.
81 00:10:24.844 ⇒ 00:10:26.734 Uttam Kumaran: But it’s like.
82 00:10:27.084 ⇒ 00:10:29.464 ben iphone : well, the process change
83 00:10:31.264 ⇒ 00:10:32.354 ben iphone : is fine.
84 00:10:32.964 ⇒ 00:10:40.223 ben iphone : It’s it’s incorrect as it is, it’s it’s convenient. It’s convenient. And that’s what the customer service team is used to.
85 00:10:43.854 ⇒ 00:10:46.654 ben iphone : But we have inaccuracies, and we don’t know where we’re at.
86 00:10:48.444 ⇒ 00:10:57.584 ben iphone : Talk to Cody about it. Just tell them basically, we just have like inaccurate reporting, and we don’t. We need to know what’s going on. And would there be
87 00:10:57.904 ⇒ 00:11:03.334 ben iphone : but cause he cause it’s gonna be hit up to him to make the team
88 00:11:03.824 ⇒ 00:11:04.964 ben iphone : okay.
89 00:11:05.194 ⇒ 00:11:16.723 ben iphone : a new. I would rather not make a change on our side. But no, no, we’re not. It needs to come from the people pushing the button, of course. Yeah,
90 00:11:18.474 ⇒ 00:11:21.423 Uttam Kumaran: like, I would rather it be booked as like a
91 00:11:22.314 ⇒ 00:11:30.413 Uttam Kumaran: yeah, I mean, I don’t. Even. There has to be some way of doing it on the original order, and not considering it as a brand new order.
92 00:11:30.764 ⇒ 00:11:33.924 Uttam Kumaran: So let me talk to him about that maybe
93 00:11:35.184 ⇒ 00:11:38.064 Uttam Kumaran: ideally, it’s a change of process change. But
94 00:11:38.324 ⇒ 00:11:43.724 Uttam Kumaran: okay, so let me get with him on
95 00:11:44.354 ⇒ 00:11:55.653 Uttam Kumaran: this walk them through. And then we could come up with a recommendation for the Cft line and kind of see his thoughts. And then. should I just I could just shoot you and know, or should I just shoot the whole group and
96 00:11:56.104 ⇒ 00:11:57.323 Uttam Kumaran: Dan, and know.
97 00:11:58.684 ⇒ 00:12:05.194 ben iphone : or I can just text you and be like, this is what II think. Get with Cody. First, let’s see where we’re at.
98 00:12:05.314 ⇒ 00:12:09.564 ben iphone : II already had Chuck. Remove the 32.
99 00:12:10.104 ⇒ 00:12:16.193 ben iphone : I’ve been saying this for years, but I do want you to plaster this one in an email to the group.
100 00:12:16.564 ⇒ 00:12:30.643 ben iphone : I think Cody’s meet or none that would. I want them to just have eyes on it and see if guys can add a more context around it. But I think that this is a fantastic email for the group. But maybe I help you with it. First.
101 00:12:31.984 ⇒ 00:12:37.393 ben iphone : yeah, let’s talk about that towards the end of the day, and we’ll we’ll figure it out. But I think that this is how it’s done, because
102 00:12:37.424 ⇒ 00:12:39.823 ben iphone : I basically on feel.
103 00:12:39.934 ⇒ 00:12:46.343 ben iphone : know all, all, all of the I already for 2, 3 years. And Dan basically patting your desk like.
104 00:12:47.344 ⇒ 00:13:09.434 ben iphone : I’m glad you feel all these things, but like you can’t just cut skews off, and I was like, I can. I was like, I know, I understood what he was saying. But when you live inside of the data, sometimes you don’t know. It’s so. That’s why I’m hoping that like we can just start chopping these trees down. And like, we’re gonna chop these fucking trees down. Yeah, we’re gonna chop them.
105 00:13:09.484 ⇒ 00:13:26.374 Uttam Kumaran: So the next thing we’re going to go to is to disk. So this started out of looking at discounts and refunds. So we’re gonna move on to like broader discounts. So this started with, I was like, what are all these 100 discounts. And we’re like all these, the warranties. Okay, let’s let’s let’s nail warranty down.
106 00:13:26.474 ⇒ 00:13:28.304 Uttam Kumaran: Then we’re gonna go into
107 00:13:28.324 ⇒ 00:13:35.404 Uttam Kumaran: looking at bundles. And then the discounts, and then like Aov, and then kind of looking at impact of pricing.
108 00:13:35.674 ⇒ 00:13:38.714 Uttam Kumaran: so that’ll be
109 00:13:39.564 ⇒ 00:13:41.383 Uttam Kumaran: that’ll be basically like this week.
110 00:13:41.744 ⇒ 00:13:42.704 Uttam Kumaran: Okay.
111 00:13:43.014 ⇒ 00:13:49.163 Uttam Kumaran: the only reason we didn’t. We didn’t do any analysis on Amazon, because basically, it would have taken a little bit more time.
112 00:13:49.564 ⇒ 00:13:59.654 Uttam Kumaran: III estimated that like it’s probably linear. You mentioned that, like, we don’t sell as much cfts, but I assume the warranty rates are the rate of failures
113 00:13:59.944 ⇒ 00:14:03.663 ben iphone : are probably on a one to one basis. So we kind of
114 00:14:04.174 ⇒ 00:14:16.513 ben iphone : the the thing is we don’t sell many there. Our Amazon team has. I’ve made them monthly make a report since November, and we’re we’ve turned it around there. So we’re like, actually profitable
115 00:14:16.604 ⇒ 00:14:23.674 ben iphone : there. And a lot of it is, we did the same exercise where I just said, Show me marketing. Show me sales returns.
116 00:14:24.204 ⇒ 00:14:44.263 ben iphone : and there was like 3 skews that lost $50,000 more, and I said, Just cut them, just cut them, and that like literally, without making any other improvements. And we did. It makes a world of difference. So we did kind of the same exercise. We can put our fingers around that and see if there’s additional layer we can go. I can give you their research once it’s time. But
117 00:14:44.824 ⇒ 00:14:56.454 ben iphone : okay, okay, you’re right. It’s basically the same. You know, we sell, a lot of total numbers will be different. But on a one on a product to product basis. I assume the rates of warranty claims.
118 00:14:56.484 ⇒ 00:14:57.594 ben iphone : and then
119 00:14:58.084 ⇒ 00:15:06.183 Uttam Kumaran: I’m able to. But the other thing is the Amazon warranty. Claims are coming through. Shopify. You see what I mean, cause they’re like
120 00:15:06.764 ⇒ 00:15:14.284 Uttam Kumaran: they’re booking a hundred percent discounts for those Amazon orders. And so so bad I was like, I kinda like
121 00:15:14.474 ⇒ 00:15:19.044 ben iphone : almost threw up. And then I was like, Okay, we’re gonna have to. Well, I kind of get
122 00:15:19.814 ⇒ 00:15:21.544 ben iphone : the thing is, it’s like
123 00:15:23.774 ⇒ 00:15:26.204 ben iphone : it’s like water falling down a hill.
124 00:15:26.424 ⇒ 00:15:34.383 Uttam Kumaran: It’s going to find the easiest route. Yes, yeah, which is fine. Yeah. Process, wise. But it’s like, yeah.
125 00:15:34.424 ⇒ 00:15:43.233 ben iphone : we so like, II try to make the team solve problems in relatively, independently, cause I don’t micromage anybody which you’ve seen.
126 00:15:43.794 ⇒ 00:15:51.774 ben iphone : The thing is, sometimes you need to like. Look at it. Be like all right. I’m glad that you found a solution. But this is wrong.
127 00:15:51.954 ⇒ 00:16:03.943 ben iphone : and then let’s clean it up. So I I’m I’ve heard that they they have autonomy, and then we say like, Hey, is it better? Let’s let’s let’s tighten up so in that this whole year is about the tightening up.
128 00:16:04.664 ⇒ 00:16:08.254 Uttam Kumaran: and then the other thing is, I talked to finally talk to Unis folks.
129 00:16:08.634 ⇒ 00:16:14.244 Uttam Kumaran: They’re getting me data every Sunday or Monday morning on
130 00:16:15.224 ⇒ 00:16:17.033 Uttam Kumaran: the products they’ve shipped
131 00:16:17.274 ⇒ 00:16:23.153 Uttam Kumaran: so kind of like a long conversation with Michael about like figuring stuff out. But basically.
132 00:16:23.344 ⇒ 00:16:24.774 Uttam Kumaran: I told him, like, Look
133 00:16:25.074 ⇒ 00:16:35.473 Uttam Kumaran: in a nice way, I’m like, I’m just trying to make sure that on a per pound basis I need to compare you to all of our other providers, and if you guys are cheaper, then we could probably do more.
134 00:16:35.634 ⇒ 00:16:51.624 Uttam Kumaran: Also, I want to find out. Like, if you guys aren’t cheaper than I need to be able to say that and so I was like, look, we’re not. We’re losing shipping data. And all these things are going through you now. I need that a minimum. And then he showed me some of the analysis they did with like center of gravity and stuff like that.
135 00:16:51.884 ⇒ 00:16:58.323 Uttam Kumaran: I was like the whole. Their whole thing is like, can they bring more of our packages to a cheaper zone
136 00:16:59.414 ⇒ 00:17:25.543 Uttam Kumaran: somewhere in the middle of the country versus like us shipping out of just Jacksonville there. So I was like, Look, I’m happy to look into and do another what they call center of gravity, which is like if they can. If a 90% of their customers are now within zone, 4 versus us, their zone. 6. And that means there’s a DC. Somewhere in the middle of the country. They can try that. So I was like, I’m basically I’m happy to do that with you. Let’s like, get this initial thing going. And then I can share a little bit of our order volume, and then
137 00:17:25.854 ⇒ 00:17:27.903 Uttam Kumaran: you can tell me like, Hey, if if
138 00:17:27.924 ⇒ 00:17:37.554 Uttam Kumaran: if we open another like virtual DC, here. 90% are people move from Zone 6 to Zone 4. This is the rate. And they told me they basically charge
139 00:17:37.664 ⇒ 00:17:44.504 Uttam Kumaran: ups rates plus like some premium. So I was like, that’s all fine. I just I really need to apples Apple. Just figure out
140 00:17:44.574 ⇒ 00:17:49.894 Uttam Kumaran: if you guys are cheaper or not. and if they are, then it seems like a kind of a no brainer. So
141 00:17:50.144 ⇒ 00:17:52.534 Uttam Kumaran: things are moving
142 00:17:52.694 ⇒ 00:17:54.443 Uttam Kumaran: forward there. Finally.
143 00:17:54.614 ⇒ 00:17:56.474 ben iphone : Alright, alright.
144 00:17:57.584 ⇒ 00:18:00.784 ben iphone : I mean we. It’s it’s important to figure it out. II just
145 00:18:01.284 ⇒ 00:18:17.323 ben iphone : it’s like.
146 00:18:17.654 ⇒ 00:18:29.793 Uttam Kumaran: why don’t? Why don’t you just give me the raw per parcel shipping costs? And I’m gonna compare and like, if it’s great, then it’s great like, I don’t know. It took us like a month just a month to get to that point.
147 00:18:29.924 ⇒ 00:18:31.314 Uttam Kumaran: So
148 00:18:31.434 ⇒ 00:18:36.123 Uttam Kumaran: and he asked me a lot of questions are like, Yeah, I don’t. I can’t make any decisions, or even like
149 00:18:36.204 ⇒ 00:18:41.804 Uttam Kumaran: encourage any decisions unless I see that it’s cheaper because it doesn’t matter otherwise. So
150 00:18:42.124 ⇒ 00:18:45.154 ben iphone : 100% 100%
151 00:18:45.474 ⇒ 00:18:50.593 ben iphone : 100% alright. Well, hope alright. So sounds like things are moving.
152 00:18:50.794 ⇒ 00:19:02.704 ben iphone : get with Cody. He just emailed me about something else. So he’s around. You can email message him on the back. Then we’ll get an email out today. This is really good updates. I do think.
153 00:19:03.214 ⇒ 00:19:18.944 ben iphone : float to Cody that the the negative impact that their process is having on reporting. You can say Ben and Dan, you know they acknowledge that it’s incorrect, and it’s skewing performance and profitability numbers, and
154 00:19:19.054 ⇒ 00:19:23.254 ben iphone : he might have a better idea you might have a better idea, but at least he’ll feel
155 00:19:23.504 ⇒ 00:19:30.533 Uttam Kumaran: part of it. I don’t want him to feel like we’re just like, no, no, me, neither. I yeah. And I get I would. I prefer not to
156 00:19:30.564 ⇒ 00:19:32.664 Uttam Kumaran: mold the reporting to like.
157 00:19:32.684 ⇒ 00:19:42.154 Uttam Kumaran: deal with process cause. Then there’s now 3 systems. So it’s like, let’s just find out what the what’s actually like. The
158 00:19:42.834 ⇒ 00:19:47.393 Uttam Kumaran: like. What’s the typical market process for doing something like this. So, okay.
159 00:19:48.264 ⇒ 00:19:50.104 ben iphone : sounds good. Okay.
160 00:19:50.334 ⇒ 00:19:54.064 ben iphone : alright, sir. I’ll talk to you.