Meeting Title: PP2G | Standup Date: 2025-04-29 Meeting participants: Kim Todaro, Luke Daque, Amber Lin


WEBVTT

1 00:00:10.890 00:00:11.920 Luke Daque: Hi amber.

2 00:00:12.910 00:00:14.380 Amber Lin: Hi.

3 00:00:16.149 00:00:16.959 Luke Daque: Everything.

4 00:00:17.490 00:00:24.400 Amber Lin: My brain is still in the last meeting I had 5 seconds in between.

5 00:00:24.570 00:00:29.029 Amber Lin: So let me let me figure out what’s going on.

6 00:00:31.610 00:00:38.539 Amber Lin: Oh, okay, we have this full parse meeting, and then we have the sales go to market meeting. Oh, my goodness, okay.

7 00:00:38.920 00:00:40.980 Amber Lin: don’t end today, it seems.

8 00:00:42.250 00:00:45.090 Luke Daque: It’s been like this since yesterday or yeah.

9 00:00:45.580 00:00:46.220 Amber Lin: Hi kim.

10 00:00:46.770 00:00:47.630 kim todaro: Hey, guys.

11 00:00:48.160 00:00:48.910 Luke Daque: You can.

12 00:00:49.170 00:00:50.200 kim todaro: A.

13 00:00:50.636 00:00:53.790 Amber Lin: I texted Chuck yesterday, so he said he would be coming.

14 00:00:53.960 00:00:54.920 kim todaro: Okay. Good.

15 00:00:55.080 00:01:05.530 Amber Lin: Yeah, let’s send it the link just in case and

16 00:01:14.590 00:01:21.030 Amber Lin: okay, why don’t we just start with the dashboard so we can show you some stuff that we updated for you.

17 00:01:21.490 00:01:24.350 Amber Lin: and then we’ll wait for Chuck to come here.

18 00:01:24.720 00:01:25.400 kim todaro: Okay.

19 00:01:27.920 00:01:30.623 Luke Daque: Cool, so let me share my screen.

20 00:01:32.230 00:01:33.519 Luke Daque: Can you see my screen.

21 00:01:34.110 00:01:35.240 kim todaro: Now I can. Yep.

22 00:01:37.100 00:01:42.280 Luke Daque: Yeah, so we did a couple of updates basically added the shopify. Bp.

23 00:01:42.530 00:01:48.690 Luke Daque: as like the one of the selling platforms that way, we can compare both, or like just

24 00:01:49.984 00:01:55.230 Luke Daque: do the validation terms of the numbers against shopify.

25 00:01:55.460 00:01:58.700 Luke Daque: So I tried downloading as well.

26 00:02:00.320 00:02:03.890 Luke Daque: the the shopify data, at least until

27 00:02:04.320 00:02:08.689 Luke Daque: the 24.th So I believe this is like not complete for the 25, th

28 00:02:08.910 00:02:12.100 Luke Daque: and so far we’re like exactly the same

29 00:02:13.290 00:02:16.785 Luke Daque: if we go and look at the

30 00:02:18.210 00:02:22.519 Luke Daque: What do you call this? The total, the total sales, for instance.

31 00:02:23.200 00:02:23.610 Chuck Gross’s iPhone: Hello!

32 00:02:23.610 00:02:26.039 Luke Daque: So. April 1. 0, hey! Hey, chuck! How’s it going.

33 00:02:26.040 00:02:26.540 Amber Lin: Hi shelly.

34 00:02:26.540 00:02:26.860 kim todaro: But.

35 00:02:30.760 00:02:33.940 Luke Daque: Yeah. So if we compare the exported file.

36 00:02:34.540 00:02:35.689 Luke Daque: So we are actually.

37 00:02:35.690 00:02:36.150 Chuck Gross’s iPhone: Hello!

38 00:02:36.150 00:02:37.010 Luke Daque: Can I do it?

39 00:02:37.320 00:02:37.860 kim todaro: Hey! Jack!

40 00:02:37.860 00:02:39.439 Luke Daque: Hi, Chuck! Can you hear us.

41 00:02:40.510 00:02:41.309 Chuck Gross’s iPhone: Hi! How are you?

42 00:02:41.310 00:02:42.320 Luke Daque: Can hear you.

43 00:02:42.320 00:02:43.140 kim todaro: They shouldn’t have.

44 00:02:43.855 00:02:45.919 Luke Daque: Yeah, we’re doing great. How are you?

45 00:02:46.430 00:02:47.080 Chuck Gross’s iPhone: Good.

46 00:02:48.840 00:02:56.290 Amber Lin: Yeah. Well, over the dashboard super quick, and we’ll talk about the shipping and split order stuff soon.

47 00:02:57.900 00:03:04.990 kim todaro: Great? Okay, so what did the what does the net sales column say? Luke.

48 00:03:06.620 00:03:09.060 kim todaro: The total there. On the spreadsheet.

49 00:03:09.690 00:03:10.870 Luke Daque: Oh, the spreadsheet!

50 00:03:11.480 00:03:12.529 Luke Daque: Oh, it’s not.

51 00:03:13.550 00:03:16.880 Luke Daque: Oh, this one would be like until the 24.th

52 00:03:17.650 00:03:19.150 Luke Daque: It’s just sum it up.

53 00:03:24.800 00:03:30.600 Luke Daque: Yeah, 2, 7, 2, 4, 7, 8, 8, 3, okay.

54 00:03:30.600 00:03:35.050 kim todaro: Okay, so total sales is gross sales and then ordered sales is net sales.

55 00:03:35.510 00:03:36.420 Luke Daque: Right, yeah, yeah.

56 00:03:36.420 00:03:42.600 kim todaro: Got it cool. I know we have to go over shipping, but I am curious. Can you

57 00:03:43.500 00:03:46.050 kim todaro: change the selling platform to shopify.

58 00:03:46.960 00:03:47.720 Luke Daque: Yeah, I mean.

59 00:03:48.210 00:03:49.770 kim todaro: T swim one.

60 00:03:50.960 00:03:55.520 kim todaro: So that that’s our parts website. So people can go and order parts on that that site.

61 00:03:56.120 00:03:56.710 Luke Daque: Yep.

62 00:03:57.446 00:04:00.490 kim todaro: Do we have cogs coming in for this? Do you know.

63 00:04:02.110 00:04:03.610 Luke Daque: Yeah, it. Looks like it.

64 00:04:03.910 00:04:13.359 kim todaro: Oh, sweet. Okay. So what does the profit look like for that cause? We don’t have anything really. Besides cogs and maybe returns. We don’t have a lot of costs there.

65 00:04:15.840 00:04:16.829 kim todaro: So that’s kind of cool.

66 00:04:17.974 00:04:19.109 Luke Daque: Discounts.

67 00:04:19.519 00:04:24.529 Luke Daque: Let’s see if we have some nothing for discounts, refunds.

68 00:04:24.530 00:04:27.639 kim todaro: Chuck. Would we have discounts on the Bt parts site.

69 00:04:27.640 00:04:33.890 Chuck Gross’s iPhone: No, we don’t give discounts. Everything’s full price and high margin, so that would also make sense.

70 00:04:34.150 00:04:39.840 kim todaro: That’s awesome. That’s like an extra 20 k in profit that I didn’t think was ours.

71 00:04:40.910 00:04:41.710 Luke Daque: Yeah.

72 00:04:42.480 00:04:43.920 kim todaro: Goodbye. Thank you.

73 00:04:46.620 00:04:48.540 Luke Daque: Nice.

74 00:04:48.540 00:04:52.910 kim todaro: Dashboard was right, and we just I didn’t know bt swim was in there. So that’s why it looked off.

75 00:04:53.360 00:04:55.729 Luke Daque: Yeah. And maybe that was also why it wouldn’t.

76 00:04:56.440 00:04:58.430 Luke Daque: Maybe the was it the

77 00:04:58.920 00:05:07.109 Luke Daque: yeah, the cogs was there. So yeah, that, like the unleashed data is probably like more than what you expected it to be, because of that.

78 00:05:08.270 00:05:08.860 kim todaro: Yes.

79 00:05:08.860 00:05:17.540 Luke Daque: So now I think the thing that we need to clarify on is the shipment just like it looks like we were calculating it incorrectly. You you mentioned?

80 00:05:19.510 00:05:21.300 Luke Daque: Yeah. So basically, that was

81 00:05:21.480 00:05:27.830 Luke Daque: well how we were calculating shipments for at least for ship station, where we were like utilizing the weight

82 00:05:27.990 00:05:30.700 Luke Daque: like, yeah, some some sort of

83 00:05:32.270 00:05:36.699 Luke Daque: weighted average based on the weight. Basically.

84 00:05:38.715 00:05:48.510 kim todaro: Yeah. So I think and chuck correct me if I’m wrong. But can we get rid of that and just have, like the Api talk to ship station directly or

85 00:05:49.050 00:05:51.539 kim todaro: or just come up with like a master like

86 00:05:52.460 00:05:56.619 kim todaro: average price list, for, like all the product types like cover pumps, heat pumps.

87 00:05:56.620 00:05:57.040 Luke Daque: And.

88 00:05:57.040 00:05:58.870 kim todaro: And then like, refer to that

89 00:06:00.530 00:06:05.379 kim todaro: because I don’t know. I still don’t. Getting from. Eunice is the easiest thing, but

90 00:06:05.830 00:06:07.770 kim todaro: I don’t know, Chuck, you let me know what you think.

91 00:06:08.440 00:06:19.970 Chuck Gross’s iPhone: I mean, I think if we just because units only have 7 skews, and of which the heaters we’re not really selling right this second, but I think we should just use. I think we should just use average prices for there, because.

92 00:06:19.970 00:06:20.570 Luke Daque: Okay.

93 00:06:20.570 00:06:32.110 Chuck Gross’s iPhone: Everything that we’re shipping from. There is basically a zone, one or a zone. 2 shipments, anyway. So it it’s pretty, you know, within a buck or 2, we can pretty much estimate what it costs to ship from there.

94 00:06:32.920 00:06:36.580 kim todaro: So basically these right these 15.

95 00:06:36.790 00:06:40.919 Luke Daque: Skews right? Correct newness would be

96 00:06:41.790 00:06:49.600 Luke Daque: like this one. Like, if if it’s like the Bdbx xbt bar 1 50, it’ll be just $20, basically right.

97 00:06:49.600 00:06:54.919 Chuck Gross’s iPhone: Correct. Correct. Yes, yes, it’s most likely lower, but but 20 would be fine.

98 00:06:55.590 00:06:56.330 Luke Daque: Okay.

99 00:06:56.880 00:07:04.200 Luke Daque: yeah, we can use. I can use this table. And we, you can like, change this anytime you like in case like which the prices

100 00:07:05.054 00:07:12.169 Luke Daque: vary, or like increase or decrease in the coming months. But yeah, we can use that.

101 00:07:12.400 00:07:15.060 Luke Daque: And what about the ship station? One where we were

102 00:07:15.650 00:07:20.240 Luke Daque: like doing some weird calculation on like weighted shipment of

103 00:07:20.480 00:07:22.829 Luke Daque: yeah, we did average and everything.

104 00:07:26.831 00:07:29.719 kim todaro: So I think the best thing for the

105 00:07:30.530 00:07:33.170 kim todaro: I mean, I think the best way to do this is to

106 00:07:33.990 00:07:41.390 kim todaro: like I get spreadsheets from chuck like there’s reports that I can isolate just the shopify

107 00:07:42.410 00:07:44.050 kim todaro: ship station orders.

108 00:07:44.850 00:07:53.680 kim todaro: I think, whether we use order, date or ship day. I think using those would be really accurate. My only concern is like, How are you gonna know

109 00:07:54.240 00:07:59.150 kim todaro: which products get shipped via unis? And like Chuck said, there aren’t a lot of them lately.

110 00:07:59.150 00:08:00.639 Chuck Gross’s iPhone: Someone who’s coming back to pick that up.

111 00:08:00.920 00:08:01.559 Chuck Gross’s iPhone: I want to.

112 00:08:02.660 00:08:07.519 kim todaro: But yeah, those are. Those are my my thoughts. If you could just connect directly to the To ship station.

113 00:08:08.990 00:08:10.620 Chuck Gross’s iPhone: Who’s my last joke?

114 00:08:11.120 00:08:12.440 Chuck Gross’s iPhone: Where’s my lunch?

115 00:08:13.280 00:08:13.920 kim todaro: Trucks getting! Yelled.

116 00:08:13.920 00:08:14.500 Luke Daque: That.

117 00:08:15.160 00:08:16.580 Chuck Gross’s iPhone: Yeah. Hold on a second.

118 00:08:20.370 00:08:23.199 Luke Daque: So you mentioned for shift station, we just

119 00:08:24.040 00:08:27.040 Luke Daque: we just get directly what the

120 00:08:28.085 00:08:32.672 Luke Daque: shipping costs from the Api is right. So we’re not gonna do this like

121 00:08:33.120 00:08:40.420 Luke Daque: complicated calculation where it’s averaging anymore. So yeah, we can, we can ditch this.

122 00:08:40.429 00:08:40.819 kim todaro: Yes.

123 00:08:41.195 00:08:46.070 Luke Daque: And just straight out. Get the data from the ship cost, and then

124 00:08:46.380 00:08:48.799 Luke Daque: the other thing would be to

125 00:08:50.000 00:08:53.260 Luke Daque: use if it’s coming. If it’s like one of

126 00:08:54.805 00:08:58.869 Luke Daque: that’s the heat pump or the variable speed pump it would.

127 00:08:59.700 00:09:02.100 Luke Daque: Based on the on this date of that.

128 00:09:03.360 00:09:06.330 Luke Daque: Assuming we’re shipping these from upwork.

129 00:09:07.280 00:09:17.169 kim todaro: Exactly. Yeah. I’m just wondering how you even get the count of those from Eunice to you know what I mean. Like, how do you get the count of those products that we’re shipping from Unis.

130 00:09:18.760 00:09:20.939 Luke Daque: We get like we can always like.

131 00:09:20.940 00:09:21.320 Chuck Gross’s iPhone: There you go!

132 00:09:21.320 00:09:23.270 Luke Daque: If ever the order, or if ever, that she.

133 00:09:24.400 00:09:29.460 Luke Daque: these Skus, then we can count those as soon as but we are actually.

134 00:09:29.680 00:09:35.150 kim todaro: The thing is is that we don’t ship all of those from Munis. Some are still going through ship station, some of those Skus.

135 00:09:36.230 00:09:37.000 Luke Daque: Right?

136 00:09:37.230 00:09:43.960 Luke Daque: We we do have. We are getting ships Unis shipments from

137 00:09:47.190 00:09:48.579 Luke Daque: from here.

138 00:09:52.970 00:09:53.960 Luke Daque: Yeah.

139 00:10:01.130 00:10:03.370 Luke Daque: Well, let me show you the order.

140 00:10:09.030 00:10:12.829 Luke Daque: Yeah, we are. We are getting unit shipments coming from.

141 00:10:14.860 00:10:18.463 Chuck Gross’s iPhone: The report. Basically, you like to watch it.

142 00:10:22.360 00:10:33.100 Luke Daque: Yeah, like, we’re getting a report from from Unis. And then we’re using that as like to determine to determine which orders are being shipped by Unis, basically.

143 00:10:33.100 00:10:35.630 kim todaro: Oh, amazing! Okay. I didn’t know that great.

144 00:10:35.630 00:10:37.850 Luke Daque: So we do have that already.

145 00:10:39.520 00:10:47.234 Luke Daque: And then, aside from this, we are also using the this oh, which one by the

146 00:10:47.940 00:10:49.659 Luke Daque: these skills as well.

147 00:10:50.800 00:10:58.510 Luke Daque: So so basically, there’s 2 2 sources for units. One is the report that’s coming from units itself.

148 00:10:58.750 00:11:01.210 Luke Daque: And then the second would be these skews.

149 00:11:01.940 00:11:03.569 Luke Daque: So that should be correct, right?

150 00:11:03.780 00:11:09.386 Luke Daque: Because we do have prices. Shipping cost for the for these

151 00:11:10.430 00:11:10.800 kim todaro: Yeah.

152 00:11:10.800 00:11:11.460 Luke Daque: Thanks.

153 00:11:11.460 00:11:19.849 kim todaro: Yeah, for whatever products are coming from. Unis, yeah, use that pricing that average price or cost list that you just showed me in in excel.

154 00:11:22.100 00:11:26.989 Luke Daque: Okay, sounds good. We should be good. Then I guess the the bigger one would be the

155 00:11:27.200 00:11:30.940 Luke Daque: you know, the station ones where we’re.

156 00:11:31.220 00:11:31.760 kim todaro: Okay.

157 00:11:31.760 00:11:40.110 Luke Daque: But the other thing also I noticed that we are missing here is because of the split orders. The order number is actually changed.

158 00:11:40.420 00:11:48.380 Luke Daque: So we are also missing those. I’ll have to add those. But before that I’ll have to fix the ship. The that one, the split order issue.

159 00:11:49.920 00:11:50.680 Luke Daque: Yeah.

160 00:11:51.100 00:11:58.612 kim todaro: Okay, yeah. Chuck. Chuck actually showed me an example yesterday of like I think we sold a bundle and

161 00:12:00.050 00:12:04.010 kim todaro: somehow we almost shipped out 2 pumps because of the split issue.

162 00:12:04.420 00:12:05.260 Luke Daque: Yeah.

163 00:12:05.580 00:12:11.110 Luke Daque: So apparently that was like that has always been there. We just did chuck. Just notice it, I guess.

164 00:12:11.110 00:12:11.490 kim todaro: Okay.

165 00:12:11.490 00:12:12.839 Luke Daque: A couple of weeks ago.

166 00:12:13.390 00:12:20.180 Chuck Gross’s iPhone: It just started happening a couple of weeks ago, because all of a sudden I noticed that a shipment with an older order number.

167 00:12:20.700 00:12:20.940 Luke Daque: And

168 00:12:21.180 00:12:23.310 Chuck Gross’s iPhone: Back up all of a sudden out of nowhere.

169 00:12:23.850 00:12:29.809 Chuck Gross’s iPhone: and it would say, like one of these, 0 skew to ship. So it’s just it was very weird.

170 00:12:30.180 00:12:30.970 Chuck Gross’s iPhone: like.

171 00:12:31.260 00:12:32.050 Luke Daque: Right.

172 00:12:32.970 00:12:37.309 Chuck Gross’s iPhone: But but now it’s becoming a problem, because now it’s it’s happening more frequently.

173 00:12:38.020 00:12:38.960 Luke Daque: Yeah.

174 00:12:39.150 00:12:49.989 Luke Daque: that makes sense. I did reach out to, because I did look into the logic to the split order. And it seems fine. So I did reach out to ship station support. And they mentioned that it was because.

175 00:12:50.444 00:12:53.910 Luke Daque: there were like multiple lines for a single order. And the

176 00:12:54.510 00:13:06.459 Luke Daque: yeah, they’re they’re like, split order. Things gonna fail. If that happened like, if there’s like multiple lines. So they they propose a different approach, which is basically adding a tag

177 00:13:06.610 00:13:10.490 Luke Daque: to the product itself, not not to the order.

178 00:13:10.870 00:13:14.319 Luke Daque: Then they okay, the yeah. Use the logic to

179 00:13:14.590 00:13:19.529 Luke Daque: look at the tag. And instead of looking at the order. So that’s what I’ll be like trying to.

180 00:13:20.110 00:13:23.780 Luke Daque: That’s what I’ll try to fix. Yeah.

181 00:13:24.550 00:13:32.240 Chuck Gross’s iPhone: Okay. But there’s a problem with that, because we need the orders to split, because for argument’s sake, of someone buys a pump

182 00:13:32.600 00:13:34.000 Chuck Gross’s iPhone: and a filter.

183 00:13:34.670 00:13:35.140 Luke Daque: Right.

184 00:13:35.140 00:13:38.120 Chuck Gross’s iPhone: Which is, which will be on 2 separate lines.

185 00:13:38.420 00:13:41.640 Chuck Gross’s iPhone: The pump gets shipped out from Eunice.

186 00:13:42.090 00:13:47.160 Chuck Gross’s iPhone: If it’s in Florida, or in one of those other zip codes. It will get shipped out of one warehouse.

187 00:13:47.930 00:13:50.560 Luke Daque: And I will ship out the filter from New York.

188 00:13:50.930 00:13:54.610 Chuck Gross’s iPhone: So the way we split we set up the logic

189 00:13:54.860 00:14:04.510 Chuck Gross’s iPhone: was to split any order with the heater, because those are in the other warehouses or a variable speed pump those 11 skews you had on that other sheet.

190 00:14:05.360 00:14:06.260 Luke Daque: Right.

191 00:14:06.260 00:14:10.120 Chuck Gross’s iPhone: It takes. It splits that that line all from the other lines.

192 00:14:10.610 00:14:12.780 Chuck Gross’s iPhone: Ship station tags

193 00:14:12.910 00:14:22.159 Chuck Gross’s iPhone: the shipments in the given zip codes or States. I forget the exact way we did it yellow. So we know it’s a Florida shipments in Ship station.

194 00:14:23.100 00:14:23.850 Luke Daque: Right.

195 00:14:23.850 00:14:27.410 Chuck Gross’s iPhone: In which case I can. At 1st we were just automatically

196 00:14:27.610 00:14:33.320 Chuck Gross’s iPhone: killing those shipments and ship station, but I do them manually, which is fine. I would rather do it that way.

197 00:14:33.950 00:14:40.689 Chuck Gross’s iPhone: But none of that’s happening anymore. There’s not tagging, it’s splitting. It’s coming back after I ship it.

198 00:14:42.290 00:14:44.349 Luke Daque: Hmm interesting.

199 00:14:44.750 00:14:49.260 Luke Daque: So from what I understand, there’s to

200 00:14:51.910 00:14:58.190 Luke Daque: So there’s basically 2 steps right, like the 1st step was was to split the order in shopify.

201 00:14:59.230 00:15:00.720 Luke Daque: split orders.

202 00:15:00.720 00:15:08.270 Chuck Gross’s iPhone: Right right that split is in shopify itself, so the order will split in shopify.

203 00:15:09.450 00:15:13.989 Luke Daque: Right, which is like this one. Let me let me just show it here.

204 00:15:14.640 00:15:16.300 Luke Daque: Split order in this one.

205 00:15:17.600 00:15:24.170 Luke Daque: So there’s like some logic put in place for the split order.

206 00:15:26.190 00:15:27.459 Luke Daque: Think it’s loading.

207 00:15:32.550 00:15:36.050 Luke Daque: Yeah, this one still loading?

208 00:15:40.220 00:15:46.619 Luke Daque: Yeah. So there’s like 2 groups, one for all the heat pumps, I guess, and then this one I mean viable speed pumps.

209 00:15:53.350 00:15:56.589 Chuck Gross’s iPhone: Right? Yeah, so any yeah, right, any of those models. Correct?

210 00:15:59.140 00:16:00.210 Luke Daque: Yeah.

211 00:16:02.600 00:16:07.860 Luke Daque: And then the second part would be the tagging, which is essentially

212 00:16:10.610 00:16:14.070 Luke Daque: already in ship station, like, based on.

213 00:16:14.910 00:16:22.859 Chuck Gross’s iPhone: Right which and and the the tagging is working fine. Unless it’s a split order. When this split order happens, it’s like a total disaster. Now.

214 00:16:23.470 00:16:24.350 Luke Daque: Hmm.

215 00:16:24.710 00:16:27.659 Chuck Gross’s iPhone: Tagging is. The tagging is working fine, otherwise.

216 00:16:29.120 00:16:31.819 Luke Daque: And that wasn’t a problem before it just happened.

217 00:16:31.820 00:16:37.429 Chuck Gross’s iPhone: No, not no, not since I brought it up. That’s only been, you know, whatever last few weeks or so.

218 00:16:37.990 00:16:39.729 Luke Daque: I see. Okay, I’ll

219 00:16:40.180 00:16:46.220 Luke Daque: I’ll report that to the support team, because I believe they only answered this question, this part of the

220 00:16:47.112 00:16:54.859 Luke Daque: like, the splitting. But the tagging part is a different, I guess. Issue that they have to like. Figure out as well.

221 00:16:55.660 00:17:05.849 Chuck Gross’s iPhone: Yeah. So I think right, I think we figure out the splitting issue. I think the tagging issue will resolve itself automatically. So I think the ship. The splitting is the problem. For whatever reason.

222 00:17:06.609 00:17:11.169 Luke Daque: I see. Okay, I’ll I’ll do that. Then I’ll try to fix the splitting

223 00:17:11.771 00:17:14.178 Luke Daque: of orders based on how they

224 00:17:15.359 00:17:18.149 Luke Daque: what they mentioned in the ticket, and then

225 00:17:18.309 00:17:19.839 Luke Daque: see where we go from there.

226 00:17:20.699 00:17:23.159 Luke Daque: Hopefully, that fixes the tagging issue as well.

227 00:17:24.300 00:17:24.990 Chuck Gross’s iPhone: Okay.

228 00:17:27.290 00:17:27.950 Luke Daque: Cool.

229 00:17:28.610 00:17:34.410 Luke Daque: And yeah, once this gets fixed, I’ll have to update as well the the the model, because, like.

230 00:17:35.010 00:17:37.220 Luke Daque: because of the added suffix

231 00:17:38.046 00:17:45.240 Luke Daque: we won’t be able to match it exactly with the order number, so I’ll have to like. Add the suffix as well to the actual order number

232 00:17:45.580 00:17:47.630 Luke Daque: in ship station, or something of that.

233 00:17:49.150 00:17:53.050 Luke Daque: But yeah, yes. Can you mentioned something.

234 00:17:53.320 00:18:01.880 kim todaro: Sorry I was just double checking in shopify for the Bt. Parts site, and I know that you have $30,000 in revenue. But we’re only seeing 11.

235 00:18:02.950 00:18:06.210 kim todaro: Let me send you the screenshot from the interface.

236 00:18:07.140 00:18:09.319 Luke Daque: Let me let me check it. Here.

237 00:18:22.910 00:18:24.100 Luke Daque: switch!

238 00:18:28.930 00:18:30.869 Luke Daque: That’s for April. You, miss.

239 00:18:31.430 00:18:32.390 Luke Daque: I’m thinking.

240 00:18:32.780 00:18:34.989 kim todaro: Yeah, I think Chuck pulled month to date.

241 00:18:45.250 00:18:49.410 Luke Daque: Click this one sales and attending.

242 00:19:04.150 00:19:09.750 Luke Daque: Yeah, okay, I’ll take a look at what’s happening here.

243 00:19:10.190 00:19:10.950 kim todaro: Okay.

244 00:19:11.660 00:19:14.939 Luke Daque: For the bt, at least for the other one. We’re already good

245 00:19:15.220 00:19:17.490 Luke Daque: one, but for bt, that’s right.

246 00:19:17.970 00:19:19.129 kim todaro: Yeah, we just have to.

247 00:19:19.130 00:19:25.470 Amber Lin: Oh, wait on the dashboard. We’re looking at March. Sorry for the shopify one. Can we go.

248 00:19:25.470 00:19:25.990 kim todaro: Awesome.

249 00:19:28.140 00:19:30.400 Luke Daque: Okay, you mean chocolate.

250 00:19:30.400 00:19:33.709 Amber Lin: Yeah, it says, March. What about for April?

251 00:19:34.022 00:19:36.210 Luke Daque: This is April. This is the comparison.

252 00:19:36.210 00:19:38.439 Amber Lin: Oh, okay, I see. I see. I see.

253 00:19:39.330 00:19:40.360 Amber Lin: Yeah, yeah.

254 00:19:40.360 00:19:43.500 Luke Daque: Okay, I’ll take a look at that just like we’re like, 3 times.

255 00:19:43.690 00:19:47.280 Luke Daque: yeah. It says for gross deal, is that.

256 00:19:47.570 00:19:48.439 Amber Lin: There’s a lot of.

257 00:19:48.440 00:19:48.900 Luke Daque: Tickets.

258 00:19:48.900 00:19:52.299 Amber Lin: Sounds, though the discounts is massive.

259 00:19:52.300 00:19:53.560 kim todaro: Well, that’s interesting.

260 00:19:53.810 00:19:54.320 Amber Lin: Yeah.

261 00:19:54.320 00:19:56.850 Luke Daque: If we do one to 24,

262 00:19:57.480 00:20:01.489 Luke Daque: we’re at 30,000. Maybe it should be the same. It looks like 30,000.

263 00:20:01.490 00:20:02.550 Amber Lin: Yeah.

264 00:20:02.550 00:20:05.330 kim todaro: So it’s the discounts that’s not populating.

265 00:20:09.620 00:20:11.236 kim todaro: There’s so many discounts. Chuck.

266 00:20:11.560 00:20:16.540 Chuck Gross’s iPhone: They use. They use that to ship replacement parts like warranty parts, or whatever.

267 00:20:16.690 00:20:19.959 kim todaro: The the customer service team does.

268 00:20:20.510 00:20:21.240 Chuck Gross’s iPhone: Right.

269 00:20:22.890 00:20:23.740 kim todaro: Damn. Okay.

270 00:20:24.390 00:20:28.099 Luke Daque: So should we include this for the meeting.

271 00:20:28.100 00:20:29.880 kim todaro: I think so.

272 00:20:30.670 00:20:33.000 Luke Daque: Because we’re not getting anything here. Okay?

273 00:20:34.500 00:20:39.210 kim todaro: Yeah, I would kind of break it up just like the original shopify.

274 00:20:39.630 00:20:41.380 Luke Daque: Instance, that yeah.

275 00:20:41.380 00:20:47.489 kim todaro: Yeah, like ordered sales is gross sales. Total sales is net sales, and then add the discount column.

276 00:20:49.100 00:20:49.720 Luke Daque: Okay.

277 00:20:51.470 00:20:51.820 Luke Daque: Okay.

278 00:20:51.820 00:20:52.440 Luke Daque: Tweak.

279 00:20:52.870 00:21:03.369 kim todaro: We figured that out. And then another question I just had not to confuse things. Chuck is for shipping costs on the Bt parts. Where are those costs found? Are those in ship station?

280 00:21:03.870 00:21:09.849 Chuck Gross’s iPhone: They’re in ship. They’re in a separate ship station account, but they’re I can share it with you later. It’s a separate account.

281 00:21:09.850 00:21:10.370 kim todaro: Okay.

282 00:21:11.370 00:21:16.039 Chuck Gross’s iPhone: We collect. Yeah, we we collect shipment payments on that website. Also.

283 00:21:16.410 00:21:18.459 kim todaro: Good to know. Okay, so there’s shipping charges.

284 00:21:19.970 00:21:25.820 kim todaro: Okay? So, Luke, when we when we get there, we have a different login for the ship station. You might already have it, though.

285 00:21:26.100 00:21:28.319 kim todaro: but those costs need to.

286 00:21:28.320 00:21:29.149 Luke Daque: Do you mean?

287 00:21:30.520 00:21:34.070 kim todaro: Probably get added, but then the shipping revenue should also be included.

288 00:21:35.090 00:21:37.369 Luke Daque: Okay, yeah, sorry. That’s not.

289 00:21:37.370 00:21:38.110 kim todaro: Sure.

290 00:21:38.110 00:21:41.539 Luke Daque: Movie, the the ship station, the second ship station.

291 00:21:41.790 00:21:43.150 Luke Daque: Yep. Trickles interesting.

292 00:21:43.150 00:21:45.519 kim todaro: Later on you can. We can set up.

293 00:21:47.090 00:21:49.290 Luke Daque: The source. Cool sounds good, then.

294 00:21:49.290 00:21:58.579 kim todaro: Okay. Well, I feel like we. We made a lot of discoveries. So we’ll let you get to work, Luke, and then we’ll we’ll meet up again towards the end of the week, or something.

295 00:21:58.930 00:22:00.629 Luke Daque: Yeah, sounds good.

296 00:22:00.630 00:22:01.400 kim todaro: All right.

297 00:22:04.520 00:22:05.360 kim todaro: Amber, do you.

298 00:22:05.360 00:22:06.040 Luke Daque: Anything else.

299 00:22:06.180 00:22:09.289 kim todaro: Do you guys have anything else? I think I’m good, Chuck, if you have anything.

300 00:22:09.930 00:22:11.089 Chuck Gross’s iPhone: No, I’m good.

301 00:22:12.380 00:22:17.040 Luke Daque: Okay, we’ll do Async update if anything comes up. I guess.

302 00:22:17.910 00:22:18.810 kim todaro: Sounds good.

303 00:22:20.000 00:22:20.680 Luke Daque: Sure.

304 00:22:24.510 00:22:26.090 Amber Lin: Thank you for coming to the meeting.

305 00:22:26.470 00:22:27.040 kim todaro: Thanks guys.

306 00:22:27.040 00:22:29.780 Luke Daque: Thanks, guys. Have a nice rest of the day. Bye, bye.

307 00:22:30.690 00:22:31.560 Amber Lin: Bye.