Meeting Title: Luke Daque’s Zoom Meeting Date: 2025-04-16 Meeting participants: Kim Todaro, Luke Daque, Chuck Gross
WEBVTT
1 00:02:14.820 ⇒ 00:02:15.490 Luke Daque: Hi kim.
2 00:02:15.870 ⇒ 00:02:17.169 kim todaro: Hey! How are you?
3 00:02:17.920 ⇒ 00:02:23.249 Luke Daque: Doing well, how are you sorry about that? There was like Amber had to go somewhere, so
4 00:02:24.510 ⇒ 00:02:29.380 Luke Daque: oh, I have to remember terrible thing.
5 00:02:29.800 ⇒ 00:02:30.900 kim todaro: All good.
6 00:02:42.340 ⇒ 00:02:46.110 kim todaro: Let me see if Chuck needs any help.
7 00:03:12.850 ⇒ 00:03:20.130 Luke Daque: Right. Looks like chuck has also some like found, some like issues with the tagging or something
8 00:03:20.260 ⇒ 00:03:24.049 Luke Daque: shopify for the ship station orders. Are you aware of that?
9 00:03:25.056 ⇒ 00:03:34.480 kim todaro: Amber just told me yesterday, but I gotta be honest, I don’t. I was never part of that conversation about those like the tagging of the orders. So.
10 00:03:34.750 ⇒ 00:03:36.699 Chuck Gross: I don’t know how it affects.
11 00:03:36.700 ⇒ 00:03:37.329 Chuck Gross: Join.
12 00:03:38.370 ⇒ 00:03:39.789 kim todaro: Oh, gosh!
13 00:03:40.630 ⇒ 00:03:41.310 Luke Daque: Gotcha.
14 00:03:42.040 ⇒ 00:03:43.789 Chuck Gross: Hi! Can anyone hear me?
15 00:03:44.240 ⇒ 00:03:45.760 Luke Daque: Yep, we can hear you. How’s it going.
16 00:03:45.760 ⇒ 00:03:47.640 Chuck Gross: Can’t hear anybody. Why.
17 00:03:47.640 ⇒ 00:03:49.416 Luke Daque: Oh, hello! Hello!
18 00:04:02.370 ⇒ 00:04:03.160 Chuck Gross: Hmm.
19 00:04:54.310 ⇒ 00:04:58.190 Luke Daque: In years, now chuck, sleep.
20 00:04:59.480 ⇒ 00:05:00.799 Chuck Gross: I can’t hear anything.
21 00:05:04.530 ⇒ 00:05:06.230 kim todaro: Hold on!
22 00:05:09.970 ⇒ 00:05:10.730 Luke Daque: Yeah.
23 00:05:11.140 ⇒ 00:05:14.010 kim todaro: I don’t think he goes on, a lot of Zoom Meetings so
24 00:05:15.140 ⇒ 00:05:17.940 kim todaro: could be, could be an issue with this computer.
25 00:05:19.190 ⇒ 00:05:22.500 Luke Daque: Yeah, do you like use Google meet? Or something?
26 00:05:24.540 ⇒ 00:05:27.620 kim todaro: No for for Chuck. I don’t know what the
27 00:05:27.780 ⇒ 00:05:33.950 kim todaro: I’m not on a lot of meetings with him. It’s mostly over text messages where we’re all
28 00:05:35.039 ⇒ 00:05:36.199 kim todaro: and slack.
29 00:05:36.760 ⇒ 00:05:38.839 kim todaro: There you go, Chuck! Can you hear us?
30 00:05:43.930 ⇒ 00:05:45.469 Luke Daque: Yeah, it doesn’t look like it.
31 00:05:49.890 ⇒ 00:05:50.340 kim todaro: Hello!
32 00:06:02.810 ⇒ 00:06:05.570 Luke Daque: Yeah, maybe we can.
33 00:06:10.470 ⇒ 00:06:14.870 Luke Daque: You wanna start something while waiting for chuck, like, maybe the shipments
34 00:06:15.120 ⇒ 00:06:18.390 Luke Daque: I noticed like, I mean, like Amber sent
35 00:06:19.523 ⇒ 00:06:29.190 Luke Daque: a new sheet here. I think you sent amber. This new profitability sheet for Amazon, with the updated.
36 00:06:29.190 ⇒ 00:06:29.860 Chuck Gross’s iPhone: Yes.
37 00:06:29.860 ⇒ 00:06:31.449 Luke Daque: And shipping cost.
38 00:06:32.160 ⇒ 00:06:33.849 kim todaro: That was for the shopify site.
39 00:06:34.330 ⇒ 00:06:35.760 Luke Daque: Right. Got it right?
40 00:06:36.500 ⇒ 00:06:38.230 Luke Daque: Oh, yeah, Chuck, can you hear us now?
41 00:06:38.520 ⇒ 00:06:43.260 Chuck Gross’s iPhone: I I can. Yeah, I’m on my phone. I don’t know my computer, what they don’t want to agree with you guys today.
42 00:06:43.780 ⇒ 00:06:45.320 Luke Daque: Okay, no problem.
43 00:06:47.130 ⇒ 00:06:49.649 Luke Daque: We can hear you still. So yeah, that’s good.
44 00:06:51.100 ⇒ 00:06:56.860 Chuck Gross’s iPhone: Alright. So I actually got another one of these issues that popped up today.
45 00:06:58.260 ⇒ 00:07:05.030 Chuck Gross’s iPhone: I think it has something to do when tracking is updated either
46 00:07:05.220 ⇒ 00:07:08.040 Chuck Gross’s iPhone: by me or maybe by Eunice.
47 00:07:09.320 ⇒ 00:07:15.719 Chuck Gross’s iPhone: So I have order 8, 8, 2, 1, 1 p. As in Peter.
48 00:07:17.000 ⇒ 00:07:17.780 Luke Daque: Okay.
49 00:07:18.330 ⇒ 00:07:24.699 Chuck Gross’s iPhone: This order came across yesterday. I shipped it today.
50 00:07:26.090 ⇒ 00:07:33.390 Chuck Gross’s iPhone: There’s a program in ship station which splits the order into 2 shipments.
51 00:07:34.000 ⇒ 00:07:37.839 Chuck Gross’s iPhone: So the variable speed pump order
52 00:07:38.340 ⇒ 00:07:45.579 Chuck Gross’s iPhone: goes to the Unis location, which this is a Texas one which I think that’s irrelevant.
53 00:07:45.800 ⇒ 00:07:58.379 Chuck Gross’s iPhone: And then a second order is created for the filter. So the pump order that goes to Eunice in ship station is 8, 8, 2, 1, 1 p. Flat dash, split order.
54 00:07:58.980 ⇒ 00:08:03.439 Chuck Gross’s iPhone: and the filter is 8, 8, 2, 1, 1 PP. One.
55 00:08:04.820 ⇒ 00:08:05.424 Luke Daque: Okay.
56 00:08:08.040 ⇒ 00:08:13.529 Luke Daque: Ep. One before the filter. And so the filter would be going to ship station.
57 00:08:14.130 ⇒ 00:08:17.309 Chuck Gross’s iPhone: Correct. So both what happens is both orders.
58 00:08:17.470 ⇒ 00:08:23.379 Chuck Gross’s iPhone: They split both orders import into ship station still, which is fine.
59 00:08:23.820 ⇒ 00:08:29.540 Chuck Gross’s iPhone: We set up a Macro behind the scenes to take the variable speed pump. Part of that order.
60 00:08:29.900 ⇒ 00:08:30.280 Luke Daque: Hmm.
61 00:08:30.280 ⇒ 00:08:33.050 Chuck Gross’s iPhone: And tag it with the yellow Unis tag.
62 00:08:34.470 ⇒ 00:08:40.670 Luke Daque: And this is this, Macro isn’t just in shopify or like in ship station itself.
63 00:08:41.990 ⇒ 00:08:50.609 Chuck Gross’s iPhone: The macro for moving the orders is in ship station. The split order program, I believe, is something in shopify.
64 00:08:51.640 ⇒ 00:08:52.410 Luke Daque: Let’s see.
65 00:08:55.100 ⇒ 00:08:56.270 kim todaro: And register that you’re
66 00:08:59.630 ⇒ 00:09:01.710 kim todaro: 8 8 to what.
67 00:09:01.710 ⇒ 00:09:03.220 Luke Daque: 1 1 p.
68 00:09:04.030 ⇒ 00:09:06.070 Chuck Gross’s iPhone: Yeah, 8, 8, 2, 1, 1, p.
69 00:09:14.840 ⇒ 00:09:16.610 kim todaro: Oh, it’s Jack. Okay.
70 00:09:20.870 ⇒ 00:09:24.840 Luke Daque: And this is only for the non Bt shopify account right?
71 00:09:26.050 ⇒ 00:09:31.129 Luke Daque: Or is it in both, like we have the shopify and shopify? Bt.
72 00:09:32.600 ⇒ 00:09:35.190 Chuck Gross’s iPhone: This is just shot, just shot. Just to shopify.
73 00:09:35.530 ⇒ 00:09:36.210 kim todaro: Yeah.
74 00:09:38.410 ⇒ 00:09:39.210 Luke Daque: Gotcha.
75 00:09:45.520 ⇒ 00:09:50.100 Chuck Gross’s iPhone: So so the the weird part is that after I ship these orders.
76 00:09:50.790 ⇒ 00:09:55.679 Chuck Gross’s iPhone: yeah, they were from yesterday, so I shipped them whatever. No big deal. Then this morning.
77 00:09:55.800 ⇒ 00:09:58.429 Chuck Gross’s iPhone: 8, 8, 2, 1, 1 p.
78 00:09:58.650 ⇒ 00:10:06.140 Chuck Gross’s iPhone: Reappeared on ship station like to ship it again, and
79 00:10:06.470 ⇒ 00:10:12.439 Chuck Gross’s iPhone: it says, on this order, the filter to ship quantity 0,
80 00:10:13.300 ⇒ 00:10:20.519 Chuck Gross’s iPhone: which is very weird, and then it says, description fulfilled, status fulfilled, which I don’t know what that means.
81 00:10:21.080 ⇒ 00:10:25.400 Chuck Gross’s iPhone: and then it tells me to ship the pump again with no tag.
82 00:10:25.570 ⇒ 00:10:31.299 Chuck Gross’s iPhone: So if I if it wasn’t me, someone else in my team would have shipped this guy another pump for free.
83 00:10:33.480 ⇒ 00:10:39.419 kim todaro: Chuck, who? Who on Utam’s team set this up? Was it utam, or was it? Was it?
84 00:10:39.420 ⇒ 00:10:43.120 kim todaro: Yeah, he? Oh, no, no! Utam did it himself. Me and him did this.
85 00:10:43.800 ⇒ 00:10:44.650 kim todaro: Okay.
86 00:10:45.460 ⇒ 00:10:57.770 Chuck Gross’s iPhone: And it’s worked ever since we did it. Something changed recently. The last couple of days I’ve noticed it like I thought I started to screw something up which is very possible. But now I can tell, it’s not me, it’s something.
87 00:10:58.440 ⇒ 00:11:07.610 Chuck Gross’s iPhone: and it’s like always a day or 2 later, so I think it may have something to do with the updating the tracking from Eunice
88 00:11:07.730 ⇒ 00:11:13.190 Chuck Gross’s iPhone: back to shopify, and I think it’s I don’t know. It’s sending the order over again, which is no good.
89 00:11:13.890 ⇒ 00:11:20.259 kim todaro: So. Do you think, Luke, do you think this is something that you can figure out with Utam? Or do you think we should talk to Utam directly.
90 00:11:21.170 ⇒ 00:11:25.173 Luke Daque: Yeah, I’ll try to relate this to them. We’ll try to figure this out.
91 00:11:26.620 ⇒ 00:11:30.150 kim todaro: This is kind of separate from the whole, like dashboard thing.
92 00:11:30.570 ⇒ 00:11:31.500 Luke Daque: Yeah, it could be like.
93 00:11:31.500 ⇒ 00:11:33.190 kim todaro: But separate.
94 00:11:34.330 ⇒ 00:11:35.620 Luke Daque: Yeah, yeah.
95 00:11:36.310 ⇒ 00:11:42.431 Luke Daque: cause it’s also different from the dashboard thing where you were mentioning. It’s like way too low compared to like the numbers
96 00:11:42.960 ⇒ 00:11:46.640 Luke Daque: sharing, but, like I, I saw from the
97 00:11:46.970 ⇒ 00:11:52.389 Luke Daque: sheet that you share, that it’s like counting from order, date and not ship date.
98 00:11:52.660 ⇒ 00:11:58.810 Luke Daque: It’s using item ship cost or something, so I’ll have to look into that as well, and maybe.
99 00:11:59.130 ⇒ 00:12:06.560 Luke Daque: like you mentioned as well with the chat like Ben scheme some, or I. I’m not sure if it’s Ben, but like some, there’s some manual
100 00:12:07.538 ⇒ 00:12:10.650 Luke Daque: changes being made, or like transformation.
101 00:12:12.450 ⇒ 00:12:14.530 kim todaro: Yeah, I think I’m still like.
102 00:12:14.530 ⇒ 00:12:15.440 Luke Daque: Oops, no.
103 00:12:15.800 ⇒ 00:12:18.040 kim todaro: So I think, just just for
104 00:12:18.150 ⇒ 00:12:25.410 kim todaro: clarity, the the tagging issue with Chuck, a new Tom that probably needs to be figured out as soon as possible. So
105 00:12:26.090 ⇒ 00:12:33.139 kim todaro: that stuff messed up for Chuck, and we don’t resend these really expensive pieces of equipment to anyone, but separately from that.
106 00:12:33.310 ⇒ 00:12:36.389 kim todaro: On Friday me. Chuck and Ben
107 00:12:36.520 ⇒ 00:12:38.870 kim todaro: just wanted to see what the profitability was.
108 00:12:39.410 ⇒ 00:12:39.880 Luke Daque: Hmm.
109 00:12:40.040 ⇒ 00:12:46.650 kim todaro: Through the 9th and the numbers I got from the shopify shipping cost.
110 00:12:47.710 ⇒ 00:13:07.650 kim todaro: which is ship station essentially, and then the other column H. Which is unit shipping costs, was all stuff that Buck sent me via spreadsheets from both Unis and from ship station. So with the Eunice, I had to assign averages to the variable speed pumps and to the heat pumps that were being sent out.
111 00:13:08.090 ⇒ 00:13:15.790 kim todaro: I have that on another sheet. It’s not from. It’s not on the sheet, which is probably confusing. I did that in another another workbook, but
112 00:13:16.130 ⇒ 00:13:29.450 kim todaro: that’s how I got the units cost. So we had X amount of variable speed pumps from the different locations, and X amount of heat pumps. So I assigned values to those, and came up with that number from the selected dates and then the shopify shipping cost.
113 00:13:29.640 ⇒ 00:13:32.620 kim todaro: I used ship date. I didn’t use order date.
114 00:13:32.820 ⇒ 00:13:40.579 kim todaro: and I just know when I went through that chuck was like, oh, there’s some duplicates. So there was some manual labor in there, so
115 00:13:40.810 ⇒ 00:13:48.310 kim todaro: I just don’t. I don’t see like an easy path of how to automate these costs like Ben wants to do, besides assigning
116 00:13:48.780 ⇒ 00:13:55.109 kim todaro: values to the products based on averages. But maybe I’m wrong. I don’t know. Chuck anything to add. There.
117 00:13:56.620 ⇒ 00:14:06.549 Chuck Gross’s iPhone: Yeah, like, because so some of the way I got I see in some of the ways that I process. Some of the shipments, too, can make it confusing when you’re trying to examine the data on the back end like that
118 00:14:07.750 ⇒ 00:14:15.630 Chuck Gross’s iPhone: like, that’s why, when I, when we were looking at those heaters that day, and I realized all those were clumped together is because I figured that out. I’m like, Oh, I process those for the other guy to ship whatever.
119 00:14:15.760 ⇒ 00:14:17.240 Chuck Gross’s iPhone: So I I
120 00:14:17.540 ⇒ 00:14:23.010 Chuck Gross’s iPhone: I I just think the heaters we may have to use like an average. I think it’s really the only
121 00:14:23.190 ⇒ 00:14:32.429 Chuck Gross’s iPhone: way to do it semi accurately, because the prices range, of course, but the way we ship them they go through the separate Ltl portal.
122 00:14:33.400 ⇒ 00:14:38.469 Chuck Gross’s iPhone: I I don’t know if there’s, I think, if we, I think if we just process those ones.
123 00:14:41.400 ⇒ 00:14:47.910 Chuck Gross’s iPhone: if if we, if we use those that I ship from New York and we use an average.
124 00:14:48.350 ⇒ 00:14:56.200 Chuck Gross’s iPhone: The cost we got from units for shipping them. I’m not sure what we figured out those costs, either. I don’t know where we picked those up from, because
125 00:14:58.010 ⇒ 00:15:05.780 Chuck Gross’s iPhone: I know we ran a report the last time we were on a call that the variable speed pumps from units we were getting a cost on? Or did we just average those 2.
126 00:15:06.530 ⇒ 00:15:07.460 kim todaro: I think we said. There are a few.
127 00:15:07.460 ⇒ 00:15:08.470 Luke Daque: Think we did.
128 00:15:09.720 ⇒ 00:15:16.870 Chuck Gross’s iPhone: Yeah, I I think we just average those. So I I don’t think there’s a easy way to do it that makes sense just because of the way it’s processed.
129 00:15:17.200 ⇒ 00:15:23.719 Chuck Gross’s iPhone: I think we just have to take the model number of the heater and just use an average cost, even if we use like an average above average cost.
130 00:15:25.280 ⇒ 00:15:38.020 kim todaro: What about the variable speed pumps, too, though, because we don’t have like, like the ship station costs for variable speed. Speed pumps is great. But then we also have to take the variable speed
131 00:15:38.270 ⇒ 00:15:55.329 kim todaro: from Eunice and get that information over. So that’s why I was just like, why don’t we just look at whatever products were sold that day. And then if there’s some kind of like, look up where we can be like, okay, the average we only have, like 5 types of products, really like brushes, cover pumps, heaters.
132 00:15:56.320 ⇒ 00:16:00.710 kim todaro: pumps and cover pumps right?
133 00:16:01.200 ⇒ 00:16:08.710 kim todaro: Maybe I’m missing a few. But what if we just like assign, like an average to each of those 5 groups, and then deducted that from the daily
134 00:16:09.450 ⇒ 00:16:14.760 kim todaro: whatever like. How many we sold that day, just to make things simple versus like
135 00:16:14.870 ⇒ 00:16:19.809 kim todaro: using ship station as a source and then figuring out units. I don’t know. Maybe I’m wrong. That’s just like
136 00:16:21.320 ⇒ 00:16:21.950 kim todaro: I think.
137 00:16:21.950 ⇒ 00:16:22.930 Chuck Gross’s iPhone: If we if we
138 00:16:23.150 ⇒ 00:16:41.060 Chuck Gross’s iPhone: yeah, maybe if we do that, but just isolate, because, like all the brushes come out of Yap Bank, all the cover. Pumps come out of Yap Tank. All the filters come out of Yap Tank. It’s really just the 3, the 3 pump skews and the 4 heat pump skews, or the only skews that could come out of, you know, wherever.
139 00:16:41.750 ⇒ 00:16:42.160 kim todaro: Let me just.
140 00:16:42.160 ⇒ 00:16:50.640 Chuck Gross’s iPhone: Take those. Maybe we just take those. Those certain skews assign the average to them, and then everything else we can use real data, for
141 00:16:51.220 ⇒ 00:16:52.590 Chuck Gross’s iPhone: from ship station.
142 00:16:53.070 ⇒ 00:16:58.700 kim todaro: I think that would work. But when you say only 4 heat pump skews, why is it only 4 heat pump skews? I thought there were more.
143 00:16:59.560 ⇒ 00:17:06.500 Chuck Gross’s iPhone: We, we substitute all of the heaters which could be confusing on a data side, because we’ll sell it as one model and ship a different model.
144 00:17:07.089 ⇒ 00:17:11.729 kim todaro: But if we just say like, if it’s a heat pump, then that shouldn’t be an issue right.
145 00:17:11.730 ⇒ 00:17:21.119 Chuck Gross’s iPhone: Right? Yeah, right? Correct. Yeah. I mean, they’re all close enough. And yeah, they’re all cost close enough in cost. Where, if you use one average for all heat pumps. I think you’d be okay.
146 00:17:21.849 ⇒ 00:17:25.789 kim todaro: So maybe maybe we could do that, Luke, where, like we use.
147 00:17:25.790 ⇒ 00:17:26.180 Luke Daque: And.
148 00:17:26.180 ⇒ 00:17:27.839 kim todaro: As the source
149 00:17:28.069 ⇒ 00:17:35.359 kim todaro: for every product except for the heaters and the variable speed pumps. And then we assign an average to those 2 based on
150 00:17:35.660 ⇒ 00:17:39.519 kim todaro: on like order date? I don’t know. Does that make sense.
151 00:17:40.930 ⇒ 00:17:46.969 Luke Daque: Yeah, I think that makes sense. So basically, the average cost would be multiplied by the quantity right? Based on like, if there were.
152 00:17:48.210 ⇒ 00:17:49.330 kim todaro: Hold, yeah.
153 00:17:49.330 ⇒ 00:17:50.100 Luke Daque: Yeah, yeah.
154 00:17:50.340 ⇒ 00:17:57.159 Luke Daque: yeah, I think that should that should work, I can update the the model. So maybe if you can just give me the average
155 00:17:57.310 ⇒ 00:18:03.009 Luke Daque: costs for each of the the product types like the heat pumps and the filters and whatnot.
156 00:18:03.230 ⇒ 00:18:05.390 Luke Daque: And yeah, it.
157 00:18:05.630 ⇒ 00:18:11.859 Luke Daque: we we should be able to update that. So the rest, though, would still be coming from ship station or units.
158 00:18:13.830 ⇒ 00:18:17.320 Luke Daque: Based on the data. But yeah, okay.
159 00:18:17.320 ⇒ 00:18:18.340 kim todaro: Wolves
160 00:18:18.820 ⇒ 00:18:35.459 kim todaro: right well, Eunice, like as per like the last call, I’m still a little confused about how we’re pulling the Eunice numbers. So I think, because Eunice only will ship a variable speed pump or heat pump. Those are the ones that we just assign an average to, and then pull all other products from ship station.
161 00:18:36.740 ⇒ 00:18:41.699 kim todaro: but not to confuse you. There will be some variable speed pumps that chuck.
162 00:18:41.700 ⇒ 00:18:42.290 Luke Daque: I see.
163 00:18:42.290 ⇒ 00:18:43.849 kim todaro: Does sound out of.
164 00:18:43.850 ⇒ 00:18:46.410 Luke Daque: So everything is coming from shift, station.
165 00:18:51.920 ⇒ 00:18:53.850 kim todaro: Sorry. My computers, I think.
166 00:18:55.850 ⇒ 00:18:59.800 Luke Daque: So basically, yeah, I think if it’s a heat pump.
167 00:19:00.730 ⇒ 00:19:13.039 Luke Daque: So whether it’s coming from units or ship station as long as it’s a heat pump whatever those 4 products are, then it’s assigned an average cost. But other than that.
168 00:19:13.470 ⇒ 00:19:18.919 Luke Daque: and things should be like what the actual ship cost would be from ship, station.
169 00:19:19.500 ⇒ 00:19:21.409 kim todaro: Chuck, what is? How does that sound to you?
170 00:19:22.020 ⇒ 00:19:25.139 Chuck Gross’s iPhone: Yeah, that’s that’s I think that’s I think that’s the best way we can do it.
171 00:19:26.350 ⇒ 00:19:27.499 kim todaro: I think so too.
172 00:19:30.711 ⇒ 00:19:34.630 kim todaro: And then I can just give you a list, Luke, of all the those products.
173 00:19:34.630 ⇒ 00:19:35.330 Luke Daque: Make, sense.
174 00:19:36.060 ⇒ 00:19:39.539 kim todaro: The heaters and the the vsps, the variable speed pumps.
175 00:19:45.140 ⇒ 00:19:45.710 Luke Daque: Okay?
176 00:19:46.870 ⇒ 00:19:47.980 Luke Daque: Sounds good.
177 00:19:50.080 ⇒ 00:19:50.940 Luke Daque: Yeah.
178 00:19:58.850 ⇒ 00:20:08.410 Luke Daque: yeah. We can even have it in a Google sheet that way. We can, will she to.
179 00:20:10.070 ⇒ 00:20:20.349 Luke Daque: And if need to be changed. Or for some reason, then you can just update that Google sheet or something.
180 00:20:20.970 ⇒ 00:20:23.030 Luke Daque: Okay, yeah, that makes sense.
181 00:20:27.150 ⇒ 00:20:27.980 kim todaro: Hello. Yeah.
182 00:20:30.270 ⇒ 00:20:30.799 Luke Daque: To do.
183 00:20:30.800 ⇒ 00:20:32.070 kim todaro: Yeah. You’re breaking up a little bit.
184 00:20:32.070 ⇒ 00:20:36.560 Luke Daque: Turn off, I was saying. Maybe we can even the products and the average.
185 00:20:37.620 ⇒ 00:20:38.730 Luke Daque: I’m sorry.
186 00:20:44.140 ⇒ 00:20:46.129 Luke Daque: How about now? Can you hear me now?
187 00:20:46.400 ⇒ 00:20:47.860 Luke Daque: Are still breaking up.
188 00:20:48.950 ⇒ 00:20:49.440 kim todaro: Better.
189 00:20:49.440 ⇒ 00:20:51.750 Chuck Gross’s iPhone: I got I got you now. Yeah, it’s a little better.
190 00:21:10.040 ⇒ 00:21:19.469 Luke Daque: Okay, cool. Yeah. I was saying, maybe we can put the mapping for the number of the products way we can like use that as the source. Then we can just update that Google sheet does that work.
191 00:21:20.520 ⇒ 00:21:23.750 kim todaro: Yep, I can. I can with chuck.
192 00:21:24.710 ⇒ 00:21:25.420 Luke Daque: Cool.
193 00:21:25.900 ⇒ 00:21:28.789 kim todaro: I’ll I’ll make it. I’ll let Chuck check it, and then I’ll send it to you
194 00:21:29.390 ⇒ 00:21:30.669 kim todaro: for all the exception.
195 00:21:31.030 ⇒ 00:21:31.600 kim todaro: Okay.
196 00:21:31.600 ⇒ 00:21:32.200 Luke Daque: Yeah.
197 00:21:33.750 ⇒ 00:21:40.630 Luke Daque: Yeah. So I think that’s basically 2 things here. The the higher priority one for sure is the the sip station that’s like
198 00:21:41.212 ⇒ 00:21:51.069 Luke Daque: the issue that Chuck is just mentioned in terms of tagging split orders and stuff like that. I’ll make sure to prioritize that and like check with Tom.
199 00:21:51.430 ⇒ 00:21:55.869 Luke Daque: since cheers the one who initially created the macro or something I I.
200 00:21:55.870 ⇒ 00:21:56.709 Chuck Gross’s iPhone: Okay, yeah, yeah.
201 00:21:56.710 ⇒ 00:21:59.070 Luke Daque: Don’t have any idea. Yeah, cool.
202 00:21:59.070 ⇒ 00:22:05.669 Chuck Gross’s iPhone: Nope, no problem. Yeah, I just got another one that did that, too. It just it just came across. Now, same thing. It just made 3 different orders for the same thing.
203 00:22:06.380 ⇒ 00:22:07.030 Luke Daque: Okay.
204 00:22:08.130 ⇒ 00:22:08.980 Chuck Gross’s iPhone: Alright. Cool. Yeah.
205 00:22:08.980 ⇒ 00:22:09.790 Luke Daque: Come down.
206 00:22:10.890 ⇒ 00:22:14.470 kim todaro: Yeah, that’s definitely an issue.
207 00:22:16.320 ⇒ 00:22:20.211 Luke Daque: Okay, and yeah, second, one would be this,
208 00:22:21.370 ⇒ 00:22:26.340 Luke Daque: basically to change how we are calculate or how we are getting shipping costs.
209 00:22:26.710 ⇒ 00:22:29.850 Luke Daque: which now we should be like using the average
210 00:22:30.000 ⇒ 00:22:36.970 Luke Daque: values for those heat pumps. And like whatever product for product skews.
211 00:22:37.390 ⇒ 00:22:43.670 Luke Daque: Yeah, yeah, cool sounds good.
212 00:22:44.370 ⇒ 00:22:45.270 Luke Daque: No good.
213 00:22:45.270 ⇒ 00:22:50.030 Luke Daque: That’s you want to discuss, or any questions.
214 00:22:50.610 ⇒ 00:22:52.119 kim todaro: That’s it from my end.
215 00:22:52.790 ⇒ 00:22:54.199 Chuck Gross’s iPhone: Yeah, I think that’s all I got.
216 00:22:55.900 ⇒ 00:22:58.016 Luke Daque: Cool. Sounds good thanks. Guys.
217 00:22:58.440 ⇒ 00:22:59.190 Chuck Gross’s iPhone: Thank you.
218 00:22:59.190 ⇒ 00:23:02.649 Luke Daque: If anything else. Yeah, you can just like message in slack.
219 00:23:04.720 ⇒ 00:23:05.280 kim todaro: Sounds, like.
220 00:23:05.280 ⇒ 00:23:05.720 Chuck Gross’s iPhone: Good.
221 00:23:06.870 ⇒ 00:23:09.050 Luke Daque: Thanks. See, you have a nice rest of your day.
222 00:23:09.690 ⇒ 00:23:10.090 Chuck Gross’s iPhone: Bye.
223 00:23:10.790 ⇒ 00:23:11.420 Luke Daque: Bye.