1 00:00:10,080 --> 00:00:13,480 Speaker 1: Hello, and welcome to another episode of the All Thoughts podcast. 2 00:00:13,560 --> 00:00:16,400 Speaker 1: I'm Tracy Alloway and I'm Joe. WI wasn't all Joe. 3 00:00:16,480 --> 00:00:19,080 Speaker 1: You know we are smack d ab in the middle 4 00:00:19,200 --> 00:00:22,520 Speaker 1: of the holiday season. That is true. I have a 5 00:00:22,560 --> 00:00:24,480 Speaker 1: big feeling about this time of year because it's nice 6 00:00:24,480 --> 00:00:26,720 Speaker 1: to take time off, it's nice to get some breaks. 7 00:00:27,040 --> 00:00:29,240 Speaker 1: But on the other hand, that means people aren't listening 8 00:00:29,240 --> 00:00:31,880 Speaker 1: to podcasts as much because of its family so like 9 00:00:32,040 --> 00:00:35,600 Speaker 1: they're like celebrating the holidays, they're outside, they're like giving gifts, 10 00:00:35,640 --> 00:00:38,600 Speaker 1: but that's time. That means, uh means fewer listeners. Well, 11 00:00:38,640 --> 00:00:41,280 Speaker 1: I mean hopefully some people are still listening to podcasts, 12 00:00:41,360 --> 00:00:44,320 Speaker 1: especially this one. I actually tend to listen to podcasts 13 00:00:44,400 --> 00:00:47,800 Speaker 1: more around the holidays just because I listened to them 14 00:00:47,800 --> 00:00:51,519 Speaker 1: while I'm cooking and baking, and Christmas of course is 15 00:00:51,600 --> 00:00:55,400 Speaker 1: prime baking and cooking season. You know, my wife is 16 00:00:55,440 --> 00:00:58,960 Speaker 1: baking like two cookies today for like various parties and 17 00:00:59,040 --> 00:01:01,240 Speaker 1: kids school thing to Saider. I literally just got a 18 00:01:01,240 --> 00:01:04,120 Speaker 1: text about how time consuming it is. I hope she's 19 00:01:04,160 --> 00:01:06,800 Speaker 1: listening to odd lots while she's doing that to make 20 00:01:06,840 --> 00:01:11,000 Speaker 1: the time pass. Okay, Well, this kind of got me thinking, 21 00:01:11,040 --> 00:01:13,759 Speaker 1: you know, it's the holiday season. Everyone is off baking 22 00:01:13,800 --> 00:01:18,240 Speaker 1: things or probably buying things for presents, and I really 23 00:01:18,240 --> 00:01:21,199 Speaker 1: wanted to talk to someone who is in a sort 24 00:01:21,200 --> 00:01:26,000 Speaker 1: of seasonal retail industry and ask them how they are 25 00:01:26,120 --> 00:01:29,720 Speaker 1: experiencing the economy right now, because, as we've been discussing 26 00:01:29,760 --> 00:01:32,440 Speaker 1: for some time, it does feel like we're kind of 27 00:01:32,480 --> 00:01:35,280 Speaker 1: in this weird environment where there are a lot of 28 00:01:35,280 --> 00:01:39,360 Speaker 1: concerns about inflation, we still have lingering supply chain constraints, 29 00:01:39,520 --> 00:01:42,920 Speaker 1: there's a lot of talk about recession. But at the 30 00:01:42,959 --> 00:01:45,720 Speaker 1: same time, a lot of the hard data that we 31 00:01:45,840 --> 00:01:49,160 Speaker 1: get is saying that consumer demand is still relatively strong, 32 00:01:49,400 --> 00:01:53,120 Speaker 1: unemployment is still relatively low. Things are sort of ticking along, 33 00:01:53,600 --> 00:01:56,600 Speaker 1: and yet a lot of the sentiment surveys seem to 34 00:01:56,640 --> 00:01:59,600 Speaker 1: indicate something otherwise. So I thought it would be great 35 00:01:59,640 --> 00:02:02,800 Speaker 1: to speak to a small business owner about what exactly 36 00:02:02,880 --> 00:02:05,360 Speaker 1: is going on. Let's do it, because baking is, you know, 37 00:02:05,440 --> 00:02:07,840 Speaker 1: bakery is also one of those things. It's like so 38 00:02:08,000 --> 00:02:12,400 Speaker 1: you know, it's laborious, it's commodity sensitive, it's rent sensitive, 39 00:02:12,440 --> 00:02:15,400 Speaker 1: it's there's so many things that sort of come together 40 00:02:15,639 --> 00:02:19,320 Speaker 1: in a baked goods. Bread, cakes, cookies, So a great 41 00:02:19,320 --> 00:02:21,440 Speaker 1: way to get a snapshot of what's happening in the 42 00:02:21,440 --> 00:02:24,160 Speaker 1: economy right now. Yes, it's like we are taking all 43 00:02:24,240 --> 00:02:28,080 Speaker 1: the ingredients that go into a baking business and dissecting 44 00:02:28,120 --> 00:02:31,280 Speaker 1: them one by one. Okay, Well, without further ado, we 45 00:02:31,320 --> 00:02:33,799 Speaker 1: are going to be speaking with Ken Jerish. He is 46 00:02:33,840 --> 00:02:36,960 Speaker 1: the owner of Jerish Bakery, which is a bakery in 47 00:02:37,200 --> 00:02:40,520 Speaker 1: the suburbs of Cook County, Chicago, actually where I used 48 00:02:40,560 --> 00:02:43,120 Speaker 1: to live. Ken, thank you so much for coming on 49 00:02:43,160 --> 00:02:46,640 Speaker 1: the show. You're welcome, Thanks for having me. So how 50 00:02:46,720 --> 00:02:52,000 Speaker 1: busy are you around this time of year? Um? Extremely? Um. 51 00:02:52,080 --> 00:02:55,519 Speaker 1: You know, it starts at Halloween and goes through Thanksgiving 52 00:02:55,639 --> 00:02:59,000 Speaker 1: and then uh, Christmas or the whole month of December. 53 00:02:59,040 --> 00:03:03,480 Speaker 1: For us in general, every day is busier than the 54 00:03:03,560 --> 00:03:06,400 Speaker 1: day before. So we kind of call it a hello, 55 00:03:06,480 --> 00:03:09,919 Speaker 1: thank miss season, you know, because it's it's busy. And 56 00:03:10,040 --> 00:03:13,679 Speaker 1: this year, as you kind of indicated in your introduction, 57 00:03:14,080 --> 00:03:17,560 Speaker 1: there is still a high demand for our product. That's 58 00:03:17,600 --> 00:03:21,200 Speaker 1: a wonderful thing, you know, so we're pretty much firing 59 00:03:21,200 --> 00:03:24,919 Speaker 1: on all cylinders as far as the demand goes. Keeping 60 00:03:25,000 --> 00:03:29,000 Speaker 1: up with it is another challenge. So can you just describe, 61 00:03:29,040 --> 00:03:31,240 Speaker 1: like how big is your bakery roughly? I know it's 62 00:03:31,240 --> 00:03:35,600 Speaker 1: been around since On your website, Uh, it looks like 63 00:03:35,640 --> 00:03:38,080 Speaker 1: there's a bunch of amazing stuff from specialty cakes and 64 00:03:38,120 --> 00:03:41,800 Speaker 1: wedding cakes and cookies, and it all looks amazing, But like, 65 00:03:41,840 --> 00:03:43,680 Speaker 1: how big? Just to give us a feel and like, 66 00:03:44,040 --> 00:03:48,120 Speaker 1: what are your customers and clients like in your geographic reach? Sure? 67 00:03:48,680 --> 00:03:52,880 Speaker 1: So we are a single location retail bakery. We're located 68 00:03:52,920 --> 00:03:55,880 Speaker 1: in Oak Grove Village, Illinois. We are immediately adjacent to 69 00:03:56,000 --> 00:04:01,040 Speaker 1: O'Hare Airport. But what separates our community and our business 70 00:04:01,600 --> 00:04:05,240 Speaker 1: from the airport is a very large industrial park. I'm 71 00:04:05,240 --> 00:04:09,800 Speaker 1: told that it's the largest contiguous industrial park in the country. 72 00:04:10,320 --> 00:04:12,320 Speaker 1: So it does a couple of things that it kind 73 00:04:12,320 --> 00:04:15,120 Speaker 1: of buffers the noise of the airport from our community, 74 00:04:15,160 --> 00:04:17,440 Speaker 1: which is a good thing. But we also have a 75 00:04:17,440 --> 00:04:21,400 Speaker 1: lot of companies who are then also customers, So we 76 00:04:21,520 --> 00:04:25,520 Speaker 1: do a great deal of retail business, you know, homeowners 77 00:04:25,560 --> 00:04:27,480 Speaker 1: who just come in and buy stuff for their family, 78 00:04:27,960 --> 00:04:33,000 Speaker 1: and a lot of company corporate work for meetings and 79 00:04:33,120 --> 00:04:38,120 Speaker 1: anniversaries and retirements and all that. We have about fifty 80 00:04:38,160 --> 00:04:41,279 Speaker 1: five full time employee, not full time, but fifty five 81 00:04:41,279 --> 00:04:43,919 Speaker 1: total employees. About half of those are are full time. 82 00:04:44,440 --> 00:04:47,880 Speaker 1: This time of year with Christmas, we kind of blossom 83 00:04:48,000 --> 00:04:53,200 Speaker 1: up to about ninety nine employees seasonal workers who help 84 00:04:53,320 --> 00:04:56,919 Speaker 1: us pack the thousands of pounds of cookies that we 85 00:04:56,920 --> 00:04:59,520 Speaker 1: we make this time of year. We've been here for 86 00:05:00,279 --> 00:05:04,880 Speaker 1: three years. We enjoy a very good reputation. The number 87 00:05:04,880 --> 00:05:07,040 Speaker 1: of employees we have, and then the size of our 88 00:05:07,440 --> 00:05:12,520 Speaker 1: physical store is bigger than I would say of the 89 00:05:12,560 --> 00:05:17,240 Speaker 1: bakeries in the country, but there are certainly much larger 90 00:05:17,520 --> 00:05:21,800 Speaker 1: baking companies corporations that provide for grocery stores and all 91 00:05:21,800 --> 00:05:24,440 Speaker 1: that kind of stuff. So we're kind of a small 92 00:05:24,520 --> 00:05:27,680 Speaker 1: business in the scope of businesses at large, but as 93 00:05:27,720 --> 00:05:31,159 Speaker 1: far as bakeries were one of the larger ones. So 94 00:05:31,440 --> 00:05:34,680 Speaker 1: you mentioned that consumer demand was holding up pretty well, 95 00:05:34,720 --> 00:05:37,640 Speaker 1: but it was a challenge to keep up with it. 96 00:05:37,720 --> 00:05:39,960 Speaker 1: Can can you expand on that a little bit, like, 97 00:05:40,040 --> 00:05:43,400 Speaker 1: what are the constraints that you're experiencing at the moment, 98 00:05:43,440 --> 00:05:45,719 Speaker 1: because you know, one of the things we talked about 99 00:05:45,760 --> 00:05:48,600 Speaker 1: a lot on the show is everything from supply chain 100 00:05:48,720 --> 00:05:54,160 Speaker 1: disruptions to higher input prices, to labor shortages, all of that, 101 00:05:54,920 --> 00:05:57,599 Speaker 1: and it is all of that. So keeping up with it. 102 00:05:58,000 --> 00:06:01,600 Speaker 1: From a labor standpoint, we are pretty close to where 103 00:06:01,640 --> 00:06:04,960 Speaker 1: we we should be. Took us, oh jeez, all of 104 00:06:05,839 --> 00:06:09,120 Speaker 1: this current year to kind of get to the level 105 00:06:09,240 --> 00:06:12,080 Speaker 1: that we're comfortable with. For production, we're still a little 106 00:06:12,080 --> 00:06:15,640 Speaker 1: bit short for the store, and whether it's production or 107 00:06:16,240 --> 00:06:20,360 Speaker 1: people in the store, either one can throttle back the 108 00:06:20,800 --> 00:06:22,919 Speaker 1: amount of product that we could sell. I mean, if 109 00:06:22,960 --> 00:06:24,440 Speaker 1: we can make it, but we don't have the people 110 00:06:24,480 --> 00:06:27,039 Speaker 1: that move it out out the door, that's the problem. 111 00:06:27,120 --> 00:06:29,640 Speaker 1: And vice versa. If we can't make it, uh, you know, 112 00:06:29,680 --> 00:06:32,080 Speaker 1: obviously we can't make it with the staff that we 113 00:06:32,120 --> 00:06:34,800 Speaker 1: do have because they're a little bit less experienced than 114 00:06:34,839 --> 00:06:38,880 Speaker 1: what we had had. We have reduced some of the 115 00:06:38,960 --> 00:06:41,919 Speaker 1: varieties of product that we make because I'm not going 116 00:06:42,000 --> 00:06:44,480 Speaker 1: to waste time making stuff that may or may not sell. 117 00:06:44,520 --> 00:06:46,919 Speaker 1: I'm going to spend our time making this stuff I 118 00:06:46,960 --> 00:06:49,880 Speaker 1: know is gonna is gonna sell. Um, so we do that. 119 00:06:50,279 --> 00:06:55,600 Speaker 1: Cost of labor has definitely increased. We're in Illinois. Chicago 120 00:06:55,680 --> 00:06:58,400 Speaker 1: went to a fifteen dollar minimum wage two years ago, 121 00:06:58,440 --> 00:07:02,039 Speaker 1: maybe three at this point, and our governor thought it 122 00:07:02,080 --> 00:07:03,800 Speaker 1: was a wise idea for the whole state to go 123 00:07:03,880 --> 00:07:08,920 Speaker 1: to fifteen dollars, which fully takes effect in But when 124 00:07:08,920 --> 00:07:13,480 Speaker 1: we saw that it became law, we looked at where 125 00:07:13,520 --> 00:07:16,240 Speaker 1: we were in our employment costs to where we were 126 00:07:16,240 --> 00:07:18,600 Speaker 1: going to be a number of years in the future. 127 00:07:19,320 --> 00:07:22,120 Speaker 1: Drew a straight line. I just started increasing prices, you know, 128 00:07:22,160 --> 00:07:25,520 Speaker 1: four years ago, when it was inevitable. I'm glad we 129 00:07:25,560 --> 00:07:28,960 Speaker 1: did that because now, in addition to the increased labor 130 00:07:29,080 --> 00:07:35,600 Speaker 1: cost we're dealing with increased ingredient costs, significantly increased ingredient costs. 131 00:07:36,000 --> 00:07:39,800 Speaker 1: Back on the labor. We increased our prices, like I said, 132 00:07:40,320 --> 00:07:43,680 Speaker 1: and I was kind of overcompensating at the at the beginning, 133 00:07:44,000 --> 00:07:46,880 Speaker 1: but I didn't want to have to raise prices exponentially 134 00:07:47,080 --> 00:07:49,160 Speaker 1: towards the end as more and more of our people 135 00:07:49,280 --> 00:07:53,200 Speaker 1: were bumping up against a minimum wage and such as 136 00:07:53,200 --> 00:07:56,280 Speaker 1: it turned out after the pandemic and there's a labor 137 00:07:56,320 --> 00:07:59,680 Speaker 1: shortage and blah blah blah. My people wouldn't work unless 138 00:07:59,680 --> 00:08:02,040 Speaker 1: we paid them more. So, I mean, they didn't go 139 00:08:02,040 --> 00:08:04,200 Speaker 1: on strike, but if they could have, they may have. 140 00:08:04,800 --> 00:08:08,960 Speaker 1: So I had to increase our wages. In our business, 141 00:08:09,040 --> 00:08:13,640 Speaker 1: we are close to labor not quite it's like forty five, 142 00:08:13,720 --> 00:08:17,080 Speaker 1: but in round numbers, it's so people start making more 143 00:08:17,120 --> 00:08:20,200 Speaker 1: money and impacts our bottom line significantly. You throw on 144 00:08:20,280 --> 00:08:25,200 Speaker 1: top of that the significant increases for for our goods, 145 00:08:25,320 --> 00:08:29,040 Speaker 1: and we do deal in commodities. We're buying flour, sugar, butter, 146 00:08:29,160 --> 00:08:31,160 Speaker 1: shortening all that kind of thing and making it into 147 00:08:31,200 --> 00:08:35,200 Speaker 1: bakery products. We are not buying you know, prepackaged ho 148 00:08:35,200 --> 00:08:39,040 Speaker 1: hoes and that kind of stuff. We are manufacturer of 149 00:08:39,040 --> 00:08:42,640 Speaker 1: of bakery goods. So when you hear about the cost 150 00:08:42,840 --> 00:08:45,920 Speaker 1: of you know, flour going up significantly, or the cost 151 00:08:45,960 --> 00:08:50,800 Speaker 1: of eggs, is every consumer has experienced going up at 152 00:08:50,880 --> 00:08:55,520 Speaker 1: times that we're experiencing that exact thing, for instance, our 153 00:08:56,080 --> 00:08:58,560 Speaker 1: cost for eggs. And this is kind of since two 154 00:08:58,600 --> 00:09:02,360 Speaker 1: thousand was a banner year. It's a great year for 155 00:09:02,400 --> 00:09:06,120 Speaker 1: selling stuff right here, for making profits. So since then, 156 00:09:06,480 --> 00:09:12,959 Speaker 1: like eggs have gone up between depending on what type 157 00:09:12,960 --> 00:09:15,640 Speaker 1: of eggs you buy. That's huge because we use a 158 00:09:15,640 --> 00:09:21,160 Speaker 1: lot of eggs. Sugar has gone up, like um butter 159 00:09:21,440 --> 00:09:24,320 Speaker 1: has gone up. My supplier told me forty pcent. It 160 00:09:24,360 --> 00:09:28,400 Speaker 1: feels a lot more than that, but um chocolate has 161 00:09:28,440 --> 00:09:31,800 Speaker 1: gone everything, everything has just gone up. And then in 162 00:09:31,840 --> 00:09:36,480 Speaker 1: addition to that, you mentioned supply chain issues. It's huge. 163 00:09:36,840 --> 00:09:40,560 Speaker 1: For a time, we couldn't get certain ingredients, or we 164 00:09:40,960 --> 00:09:44,080 Speaker 1: perceived that some ingredients were going to be a little 165 00:09:44,080 --> 00:09:48,680 Speaker 1: bit short. So I've had to stockpile coco powder for 166 00:09:48,720 --> 00:09:52,199 Speaker 1: a while, couldn't get it. Fortunately I got enough from 167 00:09:52,200 --> 00:09:54,840 Speaker 1: a couple of different sources and we made it through. 168 00:09:55,040 --> 00:09:58,520 Speaker 1: Now our suppliers have plenty of cocoa powder, but just 169 00:09:58,640 --> 00:10:02,760 Speaker 1: today they don't have one of our shortenings that we use. 170 00:10:03,160 --> 00:10:06,920 Speaker 1: I don't think that's necessarily a production problem. It's probably 171 00:10:06,920 --> 00:10:10,960 Speaker 1: more of a distribution problem from the manufacturer to our distributor. 172 00:10:11,360 --> 00:10:15,680 Speaker 1: But you know, needless to say, I'm scrambling to then 173 00:10:15,960 --> 00:10:21,040 Speaker 1: figure out a substitution. It's all of the labor costs 174 00:10:21,080 --> 00:10:24,280 Speaker 1: of labor costs of ingredients, and then getting what we 175 00:10:24,320 --> 00:10:26,480 Speaker 1: need when we need it. I have so many I 176 00:10:26,520 --> 00:10:29,480 Speaker 1: have like a million questions now after that, just on 177 00:10:29,559 --> 00:10:32,000 Speaker 1: every different facet. But first another sort of like I 178 00:10:32,000 --> 00:10:35,360 Speaker 1: guess semi big picture question, which is, and it's pretty 179 00:10:35,360 --> 00:10:38,280 Speaker 1: important for macro stuff and the FED and everyone else, 180 00:10:38,760 --> 00:10:41,160 Speaker 1: for all of the issues and the rising egg and 181 00:10:41,240 --> 00:10:44,120 Speaker 1: coffee prices and the rise and labor costs, etcetera, how 182 00:10:44,120 --> 00:10:47,640 Speaker 1: would you compare conditions now and the challenge of operation 183 00:10:47,840 --> 00:10:51,599 Speaker 1: to say, either the start of the year or last 184 00:10:51,840 --> 00:10:54,280 Speaker 1: holiday season left what did you call it, hollow, A 185 00:10:54,960 --> 00:10:58,280 Speaker 1: hollow thinking hollow fatmos. I really like that. So in 186 00:10:58,400 --> 00:11:00,959 Speaker 1: terms of like the various shortages and inflation, has there 187 00:11:00,960 --> 00:11:03,760 Speaker 1: been some easing since the last Hall of fank miss season. 188 00:11:05,040 --> 00:11:07,800 Speaker 1: Oddly enough, when the pandemic first hit, some of our 189 00:11:07,840 --> 00:11:10,840 Speaker 1: prices actually went down because there was a glut of 190 00:11:11,760 --> 00:11:15,160 Speaker 1: let's say, eggs and milk product on the market, so 191 00:11:15,200 --> 00:11:18,560 Speaker 1: that was kind of weird. But then the following season, 192 00:11:18,880 --> 00:11:21,400 Speaker 1: you know, which was last year. Then by then the 193 00:11:21,520 --> 00:11:25,960 Speaker 1: prices had mostly increased to about where they're at now, 194 00:11:26,720 --> 00:11:30,199 Speaker 1: at least ingredient prices, and they've just stayed high. They 195 00:11:30,240 --> 00:11:35,120 Speaker 1: haven't come back down. So from a cost standpoint, other 196 00:11:35,240 --> 00:11:38,440 Speaker 1: than labor, labor just keeps going up. Uh, the ingredients 197 00:11:38,800 --> 00:11:42,440 Speaker 1: were we've stabled at just you know, overall painful, but 198 00:11:42,480 --> 00:11:46,440 Speaker 1: at least they don't appear they're not increasing as greatly 199 00:11:46,760 --> 00:11:50,960 Speaker 1: as rapidly as they had. The prices always fluctuate, but 200 00:11:51,080 --> 00:12:11,680 Speaker 1: they're they're stable at just exceedingly high. So one thing 201 00:12:11,920 --> 00:12:14,360 Speaker 1: I always wonder about, you know, when we talk about 202 00:12:14,400 --> 00:12:18,400 Speaker 1: inflation and we talk about higher input costs like ingredients, 203 00:12:18,679 --> 00:12:22,280 Speaker 1: like labor and wages, how do you actually make the 204 00:12:22,320 --> 00:12:27,640 Speaker 1: decision about raising the prices of your own goods? So 205 00:12:27,800 --> 00:12:30,000 Speaker 1: you know, if if the price of eggs goes up, 206 00:12:30,520 --> 00:12:34,480 Speaker 1: do you immediately pass that cost onto consumers or do 207 00:12:34,520 --> 00:12:37,240 Speaker 1: you sometimes wait a bit and eat some of that 208 00:12:37,480 --> 00:12:41,040 Speaker 1: higher expense yourself. Just walk us through the process of 209 00:12:41,120 --> 00:12:44,920 Speaker 1: deciding how much of this you actually pass on to 210 00:12:45,040 --> 00:12:49,640 Speaker 1: your customers. Sure, so if you look at it historically, um, 211 00:12:49,679 --> 00:12:52,400 Speaker 1: you know, back ten fifteen years ago, if there was 212 00:12:52,760 --> 00:12:55,839 Speaker 1: a run on flower and there actually was some kind 213 00:12:55,880 --> 00:12:59,720 Speaker 1: of a commodity thing I rye flower, rye flower tripled 214 00:12:59,720 --> 00:13:03,720 Speaker 1: and price and it made national news. It really didn't 215 00:13:03,720 --> 00:13:06,400 Speaker 1: affect our bottom line. It was one ingredient for one 216 00:13:06,440 --> 00:13:08,440 Speaker 1: product that we make. We honestly don't make a whole 217 00:13:08,480 --> 00:13:13,280 Speaker 1: bunch of it, So we really didn't go out of 218 00:13:13,280 --> 00:13:16,600 Speaker 1: our way to increase prices. We may have just because 219 00:13:16,640 --> 00:13:19,400 Speaker 1: we tend to increase our prices once a year anyhow, 220 00:13:19,840 --> 00:13:23,120 Speaker 1: but we would take those kind of opportunities and whether 221 00:13:23,160 --> 00:13:27,040 Speaker 1: it's rye flower or bird flu that impacts eggs when 222 00:13:27,080 --> 00:13:30,640 Speaker 1: it makes national news, just running a business, it's an 223 00:13:30,640 --> 00:13:34,800 Speaker 1: opportunity to increase the prices without getting a whole bunch 224 00:13:34,800 --> 00:13:37,319 Speaker 1: of complaining from the customers. It's not that we're out 225 00:13:37,320 --> 00:13:40,600 Speaker 1: there price gouging, but you know, timing can be everything. 226 00:13:41,080 --> 00:13:45,960 Speaker 1: But that's when one commodity eggs or flour or sugar 227 00:13:46,480 --> 00:13:48,800 Speaker 1: is going up and everything else is staying the same, 228 00:13:49,360 --> 00:13:55,320 Speaker 1: that's then an opportunity to work the timing to increase prices. Currently, though, 229 00:13:56,040 --> 00:13:58,240 Speaker 1: we have to raise our prices. If we don't raise 230 00:13:58,280 --> 00:14:01,600 Speaker 1: our prices, we're going out of business. And for us, 231 00:14:01,600 --> 00:14:04,480 Speaker 1: like I said, we're fifty labor, so as labor goes up, 232 00:14:04,760 --> 00:14:09,360 Speaker 1: I'm raising prices immediately. As some of our ingredients fluctuate, um, 233 00:14:09,400 --> 00:14:11,840 Speaker 1: I'm usually absorbing most of them. But when we have 234 00:14:11,960 --> 00:14:14,840 Speaker 1: the level of increases that we have here, and so 235 00:14:15,000 --> 00:14:18,000 Speaker 1: for me, on a product, the ingredients itself might be 236 00:14:19,720 --> 00:14:24,640 Speaker 1: so on a loaf of bread, if flower doubles increase, 237 00:14:24,720 --> 00:14:27,560 Speaker 1: my cost is by by three or five, five cents 238 00:14:27,640 --> 00:14:31,600 Speaker 1: or something that doesn't bother me. But when every ingredient 239 00:14:31,840 --> 00:14:37,880 Speaker 1: in that loaf of bread goes up, either you or whatever, 240 00:14:38,520 --> 00:14:42,120 Speaker 1: now we're talking some real increases bread for us. It's 241 00:14:42,160 --> 00:14:45,800 Speaker 1: kind of a lousy example, but cookies and cakes that 242 00:14:45,960 --> 00:14:48,600 Speaker 1: use the higher priced items like the eggs that have 243 00:14:48,640 --> 00:14:53,000 Speaker 1: gone up, um, the flower that's gone up, the sugar 244 00:14:53,040 --> 00:14:56,800 Speaker 1: that's gone up, every ingredient has gone up, plus the labor. 245 00:14:57,280 --> 00:15:00,640 Speaker 1: I'm increasing my prices and I you know, I use 246 00:15:00,760 --> 00:15:02,440 Speaker 1: math to do it. I you know, look at what 247 00:15:02,520 --> 00:15:06,160 Speaker 1: my costs are. What percentage of that increase is going 248 00:15:06,200 --> 00:15:08,880 Speaker 1: to you know, filter down to the bottom line. I 249 00:15:08,960 --> 00:15:10,680 Speaker 1: have to put in all the overhead and all that 250 00:15:10,800 --> 00:15:13,080 Speaker 1: some of that has gone up. Insurance is certainly never 251 00:15:13,120 --> 00:15:17,320 Speaker 1: going down. And we come up with an increase. And 252 00:15:17,360 --> 00:15:21,080 Speaker 1: what we've done this year, you know, going back to 253 00:15:21,520 --> 00:15:26,360 Speaker 1: the end of we have increased our prices three times. 254 00:15:26,440 --> 00:15:28,880 Speaker 1: Each time it's been around four and a half to 255 00:15:29,080 --> 00:15:31,840 Speaker 1: five five and a half percent. So if you look 256 00:15:32,120 --> 00:15:36,160 Speaker 1: compared to a year ago, we've gone up about We've 257 00:15:36,200 --> 00:15:39,480 Speaker 1: never done that before. I mean maybe my dad did 258 00:15:39,480 --> 00:15:42,240 Speaker 1: back in the seventies when inflation was going nuts. But 259 00:15:42,880 --> 00:15:45,840 Speaker 1: for us in the recent our recent history, you know, 260 00:15:45,920 --> 00:15:48,400 Speaker 1: we we tend to increase our prices five percent at 261 00:15:48,320 --> 00:15:51,520 Speaker 1: a time, and then it's a question of how often 262 00:15:51,560 --> 00:15:53,520 Speaker 1: we have to do that in the course of the year. 263 00:15:54,120 --> 00:15:56,640 Speaker 1: And we hate raising prices it's a lot of work 264 00:15:56,680 --> 00:15:58,480 Speaker 1: for us. We have all sorts of price tax to 265 00:15:58,600 --> 00:16:03,280 Speaker 1: change and signage and websites and all sorts of stuff, 266 00:16:03,600 --> 00:16:06,760 Speaker 1: so it's it's not a trivial exercise. But if we 267 00:16:06,880 --> 00:16:11,280 Speaker 1: don't raise our prices, we become a charitable organization and 268 00:16:11,360 --> 00:16:14,240 Speaker 1: I can't operate that way. So this actually leads into 269 00:16:14,280 --> 00:16:17,800 Speaker 1: something else I was wondering, But when you raise prices, 270 00:16:17,960 --> 00:16:22,480 Speaker 1: do you notice is there a subsequent drop in sales? 271 00:16:22,760 --> 00:16:25,240 Speaker 1: Or how does it work with baked goods, like how 272 00:16:25,680 --> 00:16:32,280 Speaker 1: price sensitive are consumers of cookies and cakes and bread? Historically? 273 00:16:32,760 --> 00:16:36,239 Speaker 1: The answer your question is, yes, we raise prices, customers 274 00:16:36,600 --> 00:16:39,880 Speaker 1: either by less or come in less frequently. This time around, 275 00:16:39,960 --> 00:16:43,520 Speaker 1: since everything is going up, we haven't really seen a 276 00:16:43,640 --> 00:16:47,480 Speaker 1: huge drop off in that demand. Also haven't got a 277 00:16:47,480 --> 00:16:49,720 Speaker 1: lot of griping, or at least I haven't. Maybe my 278 00:16:49,800 --> 00:16:53,640 Speaker 1: store staff is, but I haven't gotten much pushed back. 279 00:16:54,120 --> 00:16:58,640 Speaker 1: And when you're dealing with a holiday season, people are 280 00:16:58,680 --> 00:17:01,600 Speaker 1: having twenty or thirty people over, they're going to spend 281 00:17:01,640 --> 00:17:04,879 Speaker 1: the money. Now, what we have seen is some of 282 00:17:04,880 --> 00:17:08,040 Speaker 1: our higher ticket items, so are decorated cakes, we're not 283 00:17:08,119 --> 00:17:10,840 Speaker 1: making nearly as many as we used to and when 284 00:17:10,880 --> 00:17:13,720 Speaker 1: we do, instead of making you a half sheet or 285 00:17:13,720 --> 00:17:17,199 Speaker 1: a full sheet, we're making eight inch nine inch cakes. 286 00:17:17,640 --> 00:17:22,560 Speaker 1: So they're still buying stuff, but smaller sizes. I don't 287 00:17:22,560 --> 00:17:26,720 Speaker 1: know that that's strictly because of our inflationary time right now, 288 00:17:27,520 --> 00:17:29,840 Speaker 1: We in the industry, at least in the Chicago area, 289 00:17:30,000 --> 00:17:33,800 Speaker 1: have tended to see a drop in decorated cakes period, 290 00:17:34,080 --> 00:17:38,280 Speaker 1: mostly because the kids don't want kids. People who are 291 00:17:38,320 --> 00:17:40,879 Speaker 1: in their twenties and thirties don't want to buy the 292 00:17:41,000 --> 00:17:44,760 Speaker 1: same things for their kids that they got from people 293 00:17:44,760 --> 00:17:47,240 Speaker 1: our age, you know, when they were kids and stuff, 294 00:17:47,280 --> 00:17:49,439 Speaker 1: so you know, they want ice cream cakes, so they 295 00:17:49,480 --> 00:17:52,520 Speaker 1: do experiential things instead of having a birthday cake at home. 296 00:17:52,920 --> 00:17:55,960 Speaker 1: So we're seeing a different cultural shift there too. But 297 00:17:56,080 --> 00:17:58,480 Speaker 1: one other aspect that I think you touched on too, 298 00:17:58,800 --> 00:18:01,840 Speaker 1: and I've had this conversation with my accountant over the years. 299 00:18:02,240 --> 00:18:05,040 Speaker 1: He feels, and I have to agree that bakeries are 300 00:18:05,160 --> 00:18:08,919 Speaker 1: somewhat recession proof. I'm not sure if we're inflation proof, 301 00:18:08,960 --> 00:18:13,400 Speaker 1: but recession proof in that to some extent, people still 302 00:18:13,440 --> 00:18:15,119 Speaker 1: have to eat. Now you don't have to have a 303 00:18:15,160 --> 00:18:18,280 Speaker 1: bomb bot or a cookie or anything like that, but 304 00:18:18,480 --> 00:18:22,320 Speaker 1: people do like to indulge. They are not going to 305 00:18:22,520 --> 00:18:27,320 Speaker 1: skip their kid's birthday party. And businesses are still going 306 00:18:27,359 --> 00:18:31,280 Speaker 1: to celebrate retirements. They are still going to have Christmas parties. 307 00:18:31,480 --> 00:18:34,080 Speaker 1: It's just a matter of you know, when economy is good, 308 00:18:34,119 --> 00:18:37,280 Speaker 1: a large corporation might have a Christmas party at the Marriott. 309 00:18:37,840 --> 00:18:40,439 Speaker 1: If the economy is a little soft, well, they have 310 00:18:40,560 --> 00:18:43,800 Speaker 1: it catered and the caterers buy stuff from us. If 311 00:18:43,800 --> 00:18:46,800 Speaker 1: it's a little softer yet, they skip the cater but 312 00:18:46,840 --> 00:18:49,919 Speaker 1: they're still getting cookies and cakes from us. So in 313 00:18:49,920 --> 00:18:51,720 Speaker 1: a sense, we're still kind of making a lot of 314 00:18:51,760 --> 00:18:55,280 Speaker 1: the same stuff, just selling it to different people depending 315 00:18:55,280 --> 00:18:58,399 Speaker 1: on how the economy is going. I want to go 316 00:18:58,440 --> 00:19:00,520 Speaker 1: back to something, but mainly because if I don't go 317 00:19:00,560 --> 00:19:02,240 Speaker 1: back to it now, I'm going to forget. And there's 318 00:19:02,280 --> 00:19:04,840 Speaker 1: something really interesting that you said, but can you talk 319 00:19:04,880 --> 00:19:09,240 Speaker 1: a little bit more about the experience level of your 320 00:19:09,320 --> 00:19:12,119 Speaker 1: employee base and your ability to be productive? And you 321 00:19:12,119 --> 00:19:14,800 Speaker 1: pointed out how with the less experience employee base, you've 322 00:19:14,880 --> 00:19:17,080 Speaker 1: narrowed the range of things that you can make. Talk 323 00:19:17,119 --> 00:19:21,080 Speaker 1: to us a little bit about like experience productivity and 324 00:19:21,119 --> 00:19:24,240 Speaker 1: what that means in terms of your ability to produce goods. 325 00:19:24,800 --> 00:19:28,760 Speaker 1: We've actually been blessed. I think we historically have had 326 00:19:28,800 --> 00:19:32,120 Speaker 1: a lot of people, many of our employees who had 327 00:19:32,160 --> 00:19:37,680 Speaker 1: been with us for ten years, fifteen, thirty years. We 328 00:19:37,800 --> 00:19:40,639 Speaker 1: have just a handful who have been with us for 329 00:19:42,359 --> 00:19:45,679 Speaker 1: or over close one guys over forty years. We've had 330 00:19:45,680 --> 00:19:48,240 Speaker 1: a number of people who left, not because of the 331 00:19:48,280 --> 00:19:50,720 Speaker 1: pandemic or anything. They were they kind of aged out, 332 00:19:50,760 --> 00:19:53,919 Speaker 1: it was just time. We have had a hard time 333 00:19:54,320 --> 00:19:59,480 Speaker 1: hiring people who they themselves have ten or twelve or 334 00:19:59,480 --> 00:20:02,720 Speaker 1: fifteen year is of experience. So we've been getting people 335 00:20:03,000 --> 00:20:06,200 Speaker 1: with less experience, maybe right out of school, and so 336 00:20:06,720 --> 00:20:09,520 Speaker 1: we are training them for how we like them to 337 00:20:09,640 --> 00:20:13,800 Speaker 1: make our our product. So things just don't get done 338 00:20:13,920 --> 00:20:17,680 Speaker 1: quite as fast. We don't have the institutional memory because 339 00:20:17,720 --> 00:20:20,960 Speaker 1: they weren't working for us at the time, so it 340 00:20:21,119 --> 00:20:24,760 Speaker 1: just takes a little bit longer. Now one would think 341 00:20:24,800 --> 00:20:26,480 Speaker 1: that we would be paying them a little bit less 342 00:20:26,480 --> 00:20:29,119 Speaker 1: because they're less experience, but that's where this whole minimum 343 00:20:29,160 --> 00:20:31,440 Speaker 1: wage thing kind of throw that out the window too. 344 00:20:32,040 --> 00:20:36,320 Speaker 1: The new employees are coming in with reasonable skills, and 345 00:20:36,440 --> 00:20:40,719 Speaker 1: we tend to hire slow. When we get a decent person, 346 00:20:41,040 --> 00:20:44,760 Speaker 1: they're still fairly productive but we just had to make 347 00:20:44,800 --> 00:20:46,879 Speaker 1: decisions of you, we're not going to teach them to 348 00:20:46,920 --> 00:20:49,679 Speaker 1: make that because maybe it was kind of a slower 349 00:20:49,720 --> 00:20:53,400 Speaker 1: moving item, or it's just too time consuming, and so 350 00:20:53,440 --> 00:20:57,080 Speaker 1: we just said skip it. Where COVID played into that 351 00:20:57,680 --> 00:21:00,400 Speaker 1: is we wanted to get people customers in and out 352 00:21:00,440 --> 00:21:03,800 Speaker 1: of our store more quickly. Consumers didn't want to be 353 00:21:03,920 --> 00:21:06,880 Speaker 1: lingering in a crowd of people breathing on each other 354 00:21:06,920 --> 00:21:11,760 Speaker 1: and stuff. So we eliminated variety and things that were 355 00:21:11,760 --> 00:21:14,919 Speaker 1: a little bit more time consuming to pack, or we 356 00:21:15,040 --> 00:21:18,520 Speaker 1: pre packed them to get customers in and out quicker. 357 00:21:18,880 --> 00:21:23,800 Speaker 1: So by looking at items that could physically be sold 358 00:21:23,800 --> 00:21:27,199 Speaker 1: to customers quicker. If something wasn't one of those, we 359 00:21:27,359 --> 00:21:30,360 Speaker 1: just got rid of it. And probably a good thing 360 00:21:30,400 --> 00:21:33,720 Speaker 1: to do now that COVID is kind of not an 361 00:21:33,720 --> 00:21:37,040 Speaker 1: issue anymore. They're still not coming back. I mean, you know, 362 00:21:37,080 --> 00:21:39,080 Speaker 1: we're just not bringing those products back. We're kind of 363 00:21:39,080 --> 00:21:42,199 Speaker 1: happy we got rid of them, some of them. You know, 364 00:21:42,320 --> 00:21:45,960 Speaker 1: you mentioned packaging there, and this reminds me of something 365 00:21:46,000 --> 00:21:50,560 Speaker 1: I heard from a fairly high level economists. But they 366 00:21:50,600 --> 00:21:53,720 Speaker 1: were talking about maybe one of the underappreciated aspects of 367 00:21:53,720 --> 00:21:58,000 Speaker 1: food inflation at the moment was from packaging materials, so 368 00:21:58,200 --> 00:22:01,080 Speaker 1: cardboard and plastic and thing like that, and everyone was 369 00:22:01,119 --> 00:22:04,520 Speaker 1: talking about the higher costs of ingredients, but actually it 370 00:22:04,640 --> 00:22:06,840 Speaker 1: was a lot of the packaging that had gone up. 371 00:22:06,960 --> 00:22:10,920 Speaker 1: Is that something that you've noticed Absolutely anything we would 372 00:22:10,960 --> 00:22:14,440 Speaker 1: put in, like plastic clamshells, those who have gone up. 373 00:22:15,040 --> 00:22:18,080 Speaker 1: I think I had some numbers on that we're seeing 374 00:22:18,160 --> 00:22:23,879 Speaker 1: between forty and increase in the packaging. And you know 375 00:22:24,040 --> 00:22:26,680 Speaker 1: that may not sound a lot when you're talking about 376 00:22:26,800 --> 00:22:29,520 Speaker 1: a plastic container that you know just cost a few 377 00:22:29,560 --> 00:22:33,240 Speaker 1: pennies literally, you know, went from five cents to seven 378 00:22:33,359 --> 00:22:36,280 Speaker 1: cents or something like that, But when you're buying cases 379 00:22:36,280 --> 00:22:40,439 Speaker 1: of these things, well that adds up real fast. Again 380 00:22:40,480 --> 00:22:44,639 Speaker 1: with supply chain issues in packaging. If we were using 381 00:22:44,720 --> 00:22:48,160 Speaker 1: a package container that is kind of an odd size, 382 00:22:48,680 --> 00:22:52,000 Speaker 1: those got discontinued and so you know, we can no 383 00:22:52,040 --> 00:22:55,080 Speaker 1: longer get some of the sizes that we want. For us, 384 00:22:55,160 --> 00:22:58,440 Speaker 1: we had bags, wax bags you put bread in our 385 00:22:58,480 --> 00:23:01,840 Speaker 1: coffee cakes that since I was a kid, We've had 386 00:23:01,880 --> 00:23:04,360 Speaker 1: those things printed with our logo, our name and all 387 00:23:04,400 --> 00:23:07,080 Speaker 1: that stuff. It gives credibility to us as a business. 388 00:23:07,400 --> 00:23:13,400 Speaker 1: We can't get those anymore. The bag manufacturers are prioritizing 389 00:23:13,680 --> 00:23:19,240 Speaker 1: large chains like Jimmy John's, McDonald's or whoever where they 390 00:23:19,240 --> 00:23:22,960 Speaker 1: are under contract to provide those printed bags and nose sizes, 391 00:23:23,400 --> 00:23:26,399 Speaker 1: and if they don't, they lose money, uh, you know, 392 00:23:26,480 --> 00:23:30,080 Speaker 1: penalized and such. So we as the little guys. If 393 00:23:30,080 --> 00:23:33,119 Speaker 1: we can't buy half a million printed bags at a time, 394 00:23:33,600 --> 00:23:37,080 Speaker 1: we're not getting those print printed bags. So at this point, 395 00:23:37,119 --> 00:23:42,000 Speaker 1: all of our bags are playing unprinted bags, and people 396 00:23:42,040 --> 00:23:44,200 Speaker 1: walk out of our store it looks like they got 397 00:23:44,240 --> 00:23:47,120 Speaker 1: their stuff from a food truck. Our boxes were still 398 00:23:47,160 --> 00:23:50,679 Speaker 1: able to get those printed for the most part, but yeah, 399 00:23:50,440 --> 00:23:53,240 Speaker 1: the bags have you know, they're just kind of playing. 400 00:23:53,400 --> 00:23:57,040 Speaker 1: So again, that's and that's because the manufacturers are having 401 00:23:57,040 --> 00:24:00,359 Speaker 1: trouble keeping people working. Sometimes it's a matter of trouble 402 00:24:00,400 --> 00:24:04,000 Speaker 1: getting the actual paper good the product to make the bags. 403 00:24:04,320 --> 00:24:07,440 Speaker 1: And that's because the people you know, in Seattle or 404 00:24:07,440 --> 00:24:10,920 Speaker 1: wherever they're you know, producing these paper they can't get 405 00:24:10,920 --> 00:24:13,640 Speaker 1: the people to work out there. So it's it's definitely 406 00:24:13,960 --> 00:24:16,800 Speaker 1: a domino effect on that. I did get word from 407 00:24:16,920 --> 00:24:19,600 Speaker 1: one of our suppliers that maybe the first quarter of 408 00:24:19,720 --> 00:24:24,400 Speaker 1: twenty three we may be able to purchase printed bags 409 00:24:24,440 --> 00:24:27,040 Speaker 1: in the quantities that makes sense for us. I can't, 410 00:24:27,680 --> 00:24:30,119 Speaker 1: you know, I get twenty five thousand or fifty thousand 411 00:24:30,200 --> 00:24:33,440 Speaker 1: at a time that lasts six months to twelve months, 412 00:24:33,480 --> 00:24:36,320 Speaker 1: for us to get a quantity of bags that lasts 413 00:24:36,359 --> 00:24:39,600 Speaker 1: much longer than that, our suppliers don't want to warehouse them, 414 00:24:39,720 --> 00:24:42,320 Speaker 1: and I can't afford to buy that man either. It 415 00:24:42,400 --> 00:24:45,520 Speaker 1: just doesn't make sense. So actually this sort of brings 416 00:24:45,880 --> 00:24:48,919 Speaker 1: me back to another thing I wanted to touch on 417 00:24:49,000 --> 00:24:51,639 Speaker 1: before I forget. You mentioned that with some of the 418 00:24:51,720 --> 00:24:54,520 Speaker 1: raw materials you bought, you sort of like scrambled and 419 00:24:54,560 --> 00:24:57,639 Speaker 1: maybe overcompensated in your purchase. I think you mentioned cocoa 420 00:24:57,640 --> 00:24:59,560 Speaker 1: powder is one that you felt like you had to 421 00:24:59,640 --> 00:25:01,800 Speaker 1: stock pile. And that's sort of like been a theme 422 00:25:01,840 --> 00:25:04,199 Speaker 1: we've you know, cross industries and this idea of like 423 00:25:04,520 --> 00:25:06,800 Speaker 1: the bull whip effect and there's a shortage of some 424 00:25:06,920 --> 00:25:09,440 Speaker 1: good and then everyone puts in a ton of orders 425 00:25:09,680 --> 00:25:12,920 Speaker 1: and then suddenly it turns into some glut because people 426 00:25:12,960 --> 00:25:15,600 Speaker 1: are trying to compensate for shortage and suddenly have you 427 00:25:15,680 --> 00:25:18,920 Speaker 1: seen that are there any categories in which either you've 428 00:25:18,960 --> 00:25:22,680 Speaker 1: been stuck, you know, sort of over inventoryd or where 429 00:25:22,760 --> 00:25:25,480 Speaker 1: you've seen a shortage turned into a glut and prices 430 00:25:25,480 --> 00:25:29,919 Speaker 1: have dropped a lot as sort of that cycle plays out. Okay, 431 00:25:29,920 --> 00:25:33,439 Speaker 1: so I've not seen the prices dropped because of the glut. 432 00:25:33,920 --> 00:25:38,160 Speaker 1: They're still elevated. Yes, I have probably been one who 433 00:25:38,520 --> 00:25:40,439 Speaker 1: and coco powder was one of I took it when 434 00:25:40,480 --> 00:25:43,120 Speaker 1: I could. Uh, and now it's not a big deal. 435 00:25:43,560 --> 00:25:47,199 Speaker 1: Some of our starches corn starch, I have stockpiled on that. 436 00:25:47,760 --> 00:25:50,320 Speaker 1: None of it's going to go to waste. Um, but 437 00:25:50,840 --> 00:25:54,840 Speaker 1: we still can't get some varieties of corn starch in 438 00:25:54,920 --> 00:25:58,919 Speaker 1: a in a food manufacturing facility like ours. It's not 439 00:25:59,000 --> 00:26:02,159 Speaker 1: just corn starts a whole a bunch of different types 440 00:26:02,160 --> 00:26:05,199 Speaker 1: of starches that we use. So I have stockpiled on 441 00:26:05,280 --> 00:26:07,720 Speaker 1: some of them. I've actually sold a bag or two 442 00:26:07,800 --> 00:26:11,800 Speaker 1: to other bakery owners who could not get them, possibly 443 00:26:11,840 --> 00:26:15,200 Speaker 1: because I did. I mean, you know that is a concern. 444 00:26:15,720 --> 00:26:17,440 Speaker 1: You know, we need to get what we need to get. 445 00:26:17,720 --> 00:26:20,320 Speaker 1: We also don't want to be hogs about it. So 446 00:26:20,440 --> 00:26:26,280 Speaker 1: to compensate when maybe I have overpurchased, I am accommodating, 447 00:26:26,440 --> 00:26:28,639 Speaker 1: you know, the needs of some other bakery owners in 448 00:26:28,680 --> 00:26:32,520 Speaker 1: the area by selling them a bag or two, and 449 00:26:32,560 --> 00:26:35,280 Speaker 1: they're doing the same thing. And we've we've traded ingredients 450 00:26:35,320 --> 00:26:38,880 Speaker 1: back and forth, so it gets to be a supply thing. 451 00:26:39,560 --> 00:26:44,480 Speaker 1: And in our industry and particularly business our size, we 452 00:26:44,840 --> 00:26:47,600 Speaker 1: kind of work on a just in time inventory system. 453 00:26:47,640 --> 00:26:49,720 Speaker 1: We don't call it that, but when you're dealing with 454 00:26:49,800 --> 00:26:52,840 Speaker 1: eggs and stuff that that that are perishable, you have 455 00:26:53,000 --> 00:26:55,440 Speaker 1: to do it that way. And because I'm in the 456 00:26:55,520 --> 00:26:59,080 Speaker 1: Chicago metropolitan area, I can get pretty much everything I 457 00:26:59,160 --> 00:27:02,040 Speaker 1: need every week, so I don't have to have a 458 00:27:02,040 --> 00:27:05,359 Speaker 1: warehouse to store all my ingredients. I just have a 459 00:27:05,400 --> 00:27:08,040 Speaker 1: back portion of the of the bakery. And because I 460 00:27:08,080 --> 00:27:11,320 Speaker 1: can get it once a week, it works well. So 461 00:27:12,560 --> 00:27:16,439 Speaker 1: we have had to change from a just in time 462 00:27:16,520 --> 00:27:21,879 Speaker 1: to a just in case inventory system. And I won't 463 00:27:22,200 --> 00:27:24,439 Speaker 1: say that I originated that phrase. I actually got that 464 00:27:24,600 --> 00:27:27,080 Speaker 1: from a seven hour I went to in at a 465 00:27:27,080 --> 00:27:30,520 Speaker 1: baker's convention this past September, and the guy presenting was 466 00:27:30,600 --> 00:27:32,879 Speaker 1: from a company called group O Bimbo. They are the 467 00:27:33,440 --> 00:27:37,080 Speaker 1: largest bakery in Mexico and the United States, third in 468 00:27:37,119 --> 00:27:40,320 Speaker 1: Europe or something. They supply a lot of grocery stores 469 00:27:40,320 --> 00:27:43,800 Speaker 1: and such. They're facing the same problems we are, and 470 00:27:43,840 --> 00:27:46,080 Speaker 1: he too, said that they are doing a just in 471 00:27:46,200 --> 00:27:49,119 Speaker 1: case inventory as as opposed to a just in time 472 00:27:49,440 --> 00:27:52,600 Speaker 1: and one of the people in the audience said, well, hey, 473 00:27:53,040 --> 00:27:55,680 Speaker 1: you know, if you're getting it just in case, I'm 474 00:27:55,680 --> 00:27:58,560 Speaker 1: screwed because now I can't get you at all. He 475 00:27:58,600 --> 00:28:02,720 Speaker 1: didn't deny that, but yeah, we all recognize that, you know, 476 00:28:02,760 --> 00:28:05,639 Speaker 1: we have to do it. Oddly enough, he told a 477 00:28:05,680 --> 00:28:08,600 Speaker 1: story about gelatine. They were having a hard time getting 478 00:28:08,640 --> 00:28:12,720 Speaker 1: gelatine in Mexico and it's like, well, why can't we 479 00:28:12,760 --> 00:28:16,520 Speaker 1: get gut gelatine while they're not slaughtering as many hogs. Well, 480 00:28:16,520 --> 00:28:19,640 Speaker 1: they're not slaughtering as many hogs because they don't need 481 00:28:19,680 --> 00:28:22,919 Speaker 1: as many hides from the hogs that they use to 482 00:28:23,000 --> 00:28:26,359 Speaker 1: make cars, and they don't need as many highs making 483 00:28:26,359 --> 00:28:29,200 Speaker 1: as many cars. Why aren't they making as many cars 484 00:28:29,280 --> 00:28:34,720 Speaker 1: because they can't get the chips from Taiwan. Yeah, this circle, 485 00:28:35,320 --> 00:28:40,120 Speaker 1: this chip shortage is turning into a bake good shortage. Well, 486 00:28:40,480 --> 00:28:43,080 Speaker 1: and then he finished that with saying, one of the 487 00:28:43,120 --> 00:28:46,600 Speaker 1: biggest users in the world of gelatine is the company 488 00:28:46,600 --> 00:28:49,280 Speaker 1: that makes Gumi bears. So you know, it turns out 489 00:28:49,320 --> 00:28:52,880 Speaker 1: that you can't buy Gumi bears because you can't buy 490 00:28:52,960 --> 00:28:56,760 Speaker 1: chips from Taiwan, and so you know the main thing there. 491 00:28:56,760 --> 00:28:59,800 Speaker 1: It's not just a supply chain, it's really a supply web, 492 00:29:00,320 --> 00:29:05,200 Speaker 1: and we are worldwide. We are so intertwined, and you 493 00:29:05,360 --> 00:29:10,320 Speaker 1: just can't imagine the domino effect that one industry has 494 00:29:10,400 --> 00:29:14,360 Speaker 1: on the other. Yeah, these kind of relationships I find 495 00:29:14,560 --> 00:29:18,080 Speaker 1: absolutely fascinating. And I remember, I remember there was one 496 00:29:18,160 --> 00:29:20,200 Speaker 1: instance from two thousand eight, and I think I wrote 497 00:29:20,200 --> 00:29:22,560 Speaker 1: about it briefly, but it was that there was a 498 00:29:22,640 --> 00:29:28,040 Speaker 1: milk shortage because there wasn't as much sawdust being produced 499 00:29:28,120 --> 00:29:31,480 Speaker 1: because people stopped building houses after the housing bubble burst. 500 00:29:31,720 --> 00:29:35,160 Speaker 1: And it turns out that cows like to sleep in sawdust, 501 00:29:35,240 --> 00:29:39,040 Speaker 1: and if they're not sleeping comfortably, they produce less milk. 502 00:29:39,240 --> 00:29:41,080 Speaker 1: So these are the types of things that I think 503 00:29:41,120 --> 00:29:44,760 Speaker 1: you only realize once you start to have these types 504 00:29:44,800 --> 00:29:48,440 Speaker 1: of disruptions. Yeah, anyway, I wanted to ask about one 505 00:29:48,600 --> 00:29:52,240 Speaker 1: one other big input, presumably into the bakery business, but 506 00:29:52,360 --> 00:29:56,560 Speaker 1: that's energy prices. Have you been affected at all by 507 00:29:56,960 --> 00:30:01,240 Speaker 1: higher gas or electricity prices as a something that that's 508 00:30:01,280 --> 00:30:06,479 Speaker 1: impacting you, not directly. I contracted both our natural gas 509 00:30:06,600 --> 00:30:10,400 Speaker 1: and our electricity either during the very beginnings of the 510 00:30:10,440 --> 00:30:14,160 Speaker 1: COVID thing or just before. So I've I've got a 511 00:30:14,160 --> 00:30:17,960 Speaker 1: pretty decent rate per kill a lot our and our 512 00:30:18,040 --> 00:30:23,360 Speaker 1: gas has been tolerable. Now the distribution charges you know, 513 00:30:23,520 --> 00:30:25,680 Speaker 1: comment and night Corps seem to figure out ways to 514 00:30:25,720 --> 00:30:28,440 Speaker 1: increase that, but that has been probably one of the 515 00:30:28,480 --> 00:30:33,040 Speaker 1: more stable inputs into our business. What about transportation, I 516 00:30:33,040 --> 00:30:37,080 Speaker 1: imagine deliveries and stuff like that in terms of not 517 00:30:37,200 --> 00:30:39,240 Speaker 1: just in terms of your receipt of them, but also 518 00:30:39,320 --> 00:30:43,320 Speaker 1: your ability to deliver to corporate clients, etcetera. We talk 519 00:30:43,360 --> 00:30:45,760 Speaker 1: a lot about sort of like long haul trucking, but 520 00:30:45,840 --> 00:30:49,840 Speaker 1: what about local deliveries things like that. Um, yeah, huge 521 00:30:49,880 --> 00:30:53,959 Speaker 1: impact on that we do deliver. We have some, as 522 00:30:54,000 --> 00:30:57,000 Speaker 1: I mentioned earlier, corporations in the area that get cakes 523 00:30:57,000 --> 00:30:59,960 Speaker 1: and stuff for meetings, and so we have a new 524 00:31:00,000 --> 00:31:05,000 Speaker 1: every van drives around. Oh man, my my gasoline expenses 525 00:31:05,080 --> 00:31:09,560 Speaker 1: have for sure doubled, uh sometimes worse. At the same time, 526 00:31:09,640 --> 00:31:13,080 Speaker 1: we got rid of our really small delivery van, which 527 00:31:13,120 --> 00:31:15,280 Speaker 1: was like what they call it transit connects, so it's 528 00:31:15,280 --> 00:31:18,000 Speaker 1: those little boxes that drive around and we have more 529 00:31:18,040 --> 00:31:20,479 Speaker 1: of a full size van, not one of those you know, 530 00:31:20,800 --> 00:31:23,200 Speaker 1: U haul rental van type things, but you know, the 531 00:31:23,280 --> 00:31:25,240 Speaker 1: kind of van you can put seats in and you know, 532 00:31:25,520 --> 00:31:29,400 Speaker 1: go for a drive, But my gas usage increased just 533 00:31:29,480 --> 00:31:32,080 Speaker 1: because in the mile doesn't is is great on that. 534 00:31:32,240 --> 00:31:36,040 Speaker 1: So the two combined have been really big, you know, 535 00:31:36,120 --> 00:31:41,640 Speaker 1: in and of itself percentagewise, huge increase. Bottom line, it's 536 00:31:41,680 --> 00:31:44,400 Speaker 1: not a major component of our business, so it's more 537 00:31:44,440 --> 00:31:48,280 Speaker 1: of an annoyance than it is a price increased driver. 538 00:31:48,800 --> 00:31:52,480 Speaker 1: Another thing, while we're just sort of talking about random components, 539 00:31:52,720 --> 00:31:56,480 Speaker 1: what about equipment in the kitchen? And I'm sure stuff 540 00:31:56,520 --> 00:32:00,680 Speaker 1: breaks down, you know, everyone has ovens and dishwashers and 541 00:32:00,680 --> 00:32:03,480 Speaker 1: everything that breaks down and being able to get people 542 00:32:03,600 --> 00:32:06,320 Speaker 1: either out to service it or replacement parts. What's been 543 00:32:06,360 --> 00:32:08,400 Speaker 1: your experience with that and is that getting any better? 544 00:32:09,000 --> 00:32:12,520 Speaker 1: So I'm knocking on would as I speak, Um, so far, 545 00:32:12,680 --> 00:32:16,360 Speaker 1: so good. But yeah, that is a concern because you 546 00:32:16,400 --> 00:32:20,720 Speaker 1: could have a piece of equipment that doesn't work and 547 00:32:20,800 --> 00:32:24,360 Speaker 1: you can't get that one little you know, a part, 548 00:32:24,840 --> 00:32:28,360 Speaker 1: but without it, you're you're out of luck. And like 549 00:32:28,400 --> 00:32:30,719 Speaker 1: I said, knock on wood, we have been fortunate on 550 00:32:30,760 --> 00:32:33,520 Speaker 1: that and getting service people out so far has not 551 00:32:33,680 --> 00:32:54,160 Speaker 1: been a major major problem. You know, earlier, when we 552 00:32:54,160 --> 00:32:57,400 Speaker 1: were talking about pricing, you spoke about how when when 553 00:32:57,400 --> 00:32:59,959 Speaker 1: there's a big event in the news, like a supply 554 00:33:00,000 --> 00:33:03,600 Speaker 1: eye shortage or maybe just generalized inflation, it sort of 555 00:33:03,680 --> 00:33:08,240 Speaker 1: gives you cover to raise prices. Can I just ask, 556 00:33:08,400 --> 00:33:13,200 Speaker 1: does that same dynamic happen with your employees and wages? 557 00:33:13,280 --> 00:33:16,240 Speaker 1: Like if everyone is talking about how inflation the cost 558 00:33:16,280 --> 00:33:18,560 Speaker 1: of living is going up, do you have more people 559 00:33:18,560 --> 00:33:21,280 Speaker 1: who come asking you for wage adjustments or cost of 560 00:33:21,320 --> 00:33:25,200 Speaker 1: living adjustments? Yeah? I haven't thought about that way, but yeah, 561 00:33:25,240 --> 00:33:28,400 Speaker 1: and when it whether it's really cost of living that 562 00:33:28,480 --> 00:33:32,040 Speaker 1: people are feeling their money isn't stretching us far, or 563 00:33:32,280 --> 00:33:35,120 Speaker 1: if it's more of hey, my buddy just got a job, 564 00:33:35,520 --> 00:33:38,680 Speaker 1: you know, and he's getting fifteen or sixteen and I'm 565 00:33:38,680 --> 00:33:42,120 Speaker 1: working here at thirteen. You know, I want more money 566 00:33:42,400 --> 00:33:45,000 Speaker 1: or I'll just go get my job at the factory. 567 00:33:45,240 --> 00:33:49,200 Speaker 1: And uh so it's more of a competition for employees. 568 00:33:49,240 --> 00:33:52,800 Speaker 1: And that's what we were dealing with more recently, you know, 569 00:33:52,840 --> 00:33:57,440 Speaker 1: supply and demand. There was you know, a slow down 570 00:33:57,440 --> 00:34:00,720 Speaker 1: into the supply of labor so that the man went higher. 571 00:34:00,800 --> 00:34:03,320 Speaker 1: People like us, we're willing to pay more and we 572 00:34:03,400 --> 00:34:06,360 Speaker 1: have been but so is everybody else. I don't know 573 00:34:06,440 --> 00:34:10,560 Speaker 1: that my employees are necessarily feeling the pinch of inflation 574 00:34:10,800 --> 00:34:14,160 Speaker 1: and relating that to Hey, I need more money compared 575 00:34:14,200 --> 00:34:17,359 Speaker 1: to my buddy just got a better job. Why can't 576 00:34:17,400 --> 00:34:21,200 Speaker 1: I get paid more? Other non wage things that you 577 00:34:21,280 --> 00:34:25,920 Speaker 1: have done to compete for labor? Do people get free cookies? Sorry, 578 00:34:25,960 --> 00:34:27,840 Speaker 1: I had to ask you. We've always had that policy 579 00:34:27,880 --> 00:34:31,880 Speaker 1: and pretty much people you know, can sample our goods 580 00:34:32,320 --> 00:34:34,719 Speaker 1: throughout the day, with the reason it's not a really 581 00:34:34,719 --> 00:34:36,839 Speaker 1: good idea to take a piece out of a decorated cake. 582 00:34:37,280 --> 00:34:39,759 Speaker 1: Customer gets kind of ticked off at that. But we 583 00:34:39,840 --> 00:34:42,480 Speaker 1: have a fairly generous policy. I mean, we figure you 584 00:34:42,480 --> 00:34:45,360 Speaker 1: can only eat so much after a while, you're just gonna, 585 00:34:45,719 --> 00:34:48,560 Speaker 1: you know, either explode or pass out. So yeah, we 586 00:34:48,560 --> 00:34:52,240 Speaker 1: we we do have that. We also have a profit 587 00:34:52,320 --> 00:34:55,640 Speaker 1: sharing program. Now that's you know, it does cost money. 588 00:34:55,719 --> 00:35:00,279 Speaker 1: It's not a direct wage at the employee sees, but 589 00:35:00,440 --> 00:35:03,800 Speaker 1: it's definitely an expense for us, you know, sick days 590 00:35:03,880 --> 00:35:09,280 Speaker 1: and vacation and all that. But as of lately, we've 591 00:35:09,320 --> 00:35:12,600 Speaker 1: had those for for decades. But lately, no, I don't 592 00:35:12,640 --> 00:35:16,600 Speaker 1: think we've had any non monetary type of incentive to 593 00:35:17,280 --> 00:35:21,399 Speaker 1: stay around. So there's been a lot of talk about 594 00:35:21,160 --> 00:35:25,360 Speaker 1: a looming recession as the Federal Reserve raises interest rates, 595 00:35:25,560 --> 00:35:29,040 Speaker 1: And I'm wondering, like, do you get a sense on 596 00:35:29,080 --> 00:35:32,040 Speaker 1: the ground in a bakery business of you know, an 597 00:35:32,040 --> 00:35:37,640 Speaker 1: impending downturn in customer demand? And then secondly, what would 598 00:35:37,920 --> 00:35:43,280 Speaker 1: a generalized economic recession actually look like for a business 599 00:35:43,719 --> 00:35:47,720 Speaker 1: like a bakery. So as we speak today the middle 600 00:35:47,719 --> 00:35:53,000 Speaker 1: of a holiday season, we're just we're busy. January will 601 00:35:53,040 --> 00:35:58,920 Speaker 1: be the telltale sign of what either almost buyers remorse 602 00:35:58,960 --> 00:36:01,239 Speaker 1: in a sense as people start getting their credit card 603 00:36:01,239 --> 00:36:05,080 Speaker 1: bills and all that hits. January is always slow. People 604 00:36:05,080 --> 00:36:08,399 Speaker 1: are tired of eating. But there's slow and there's dead. 605 00:36:08,920 --> 00:36:12,759 Speaker 1: We expect slow this year. It could be dead. But 606 00:36:12,880 --> 00:36:16,240 Speaker 1: like I said earlier, we we've just found that people 607 00:36:16,640 --> 00:36:20,279 Speaker 1: still want to treat themselves and we we continue to 608 00:36:20,360 --> 00:36:24,640 Speaker 1: do okay even in a recession. I mean, I hear 609 00:36:24,680 --> 00:36:27,960 Speaker 1: the same fears of recession because of the radio station 610 00:36:28,040 --> 00:36:31,759 Speaker 1: I listened to. It's hard for me to quantify that 611 00:36:32,120 --> 00:36:36,120 Speaker 1: as as we're experiencing it. It's more what I'll see 612 00:36:36,160 --> 00:36:38,000 Speaker 1: at the end of the year, the end of the quarter, 613 00:36:38,520 --> 00:36:41,319 Speaker 1: comparing it to previous ones. That's, you know, holy cow 614 00:36:41,440 --> 00:36:44,640 Speaker 1: it you know it was not busy, felt busy, but 615 00:36:44,760 --> 00:36:48,600 Speaker 1: it wasn't. I'd love to say we're definitely recession proof, 616 00:36:48,600 --> 00:36:54,080 Speaker 1: and I believe we are definitely recession resistant. And another 617 00:36:54,160 --> 00:36:57,040 Speaker 1: thing that I've noticed is that we are Our business 618 00:36:57,280 --> 00:37:02,279 Speaker 1: is excruciatingly steady throughout any kind of a year. We 619 00:37:02,480 --> 00:37:07,120 Speaker 1: can advertise, we promote, we do things on Facebook or whatever, 620 00:37:07,960 --> 00:37:11,240 Speaker 1: and business just kind of plugs a lot. People pretty 621 00:37:11,320 --> 00:37:14,799 Speaker 1: much ignore our advertising. I think, I don't know, but 622 00:37:14,880 --> 00:37:17,920 Speaker 1: you still advertise. Why why do you still advertise if 623 00:37:17,920 --> 00:37:20,600 Speaker 1: you can't really tell a difference from it. That's a 624 00:37:20,600 --> 00:37:23,240 Speaker 1: good question. But I don't do it in newspapers anymore, 625 00:37:23,239 --> 00:37:25,279 Speaker 1: and I don't do in yellow pages if anyone even 626 00:37:25,320 --> 00:37:28,000 Speaker 1: knows what the yellow page is. So we we've shifted 627 00:37:28,040 --> 00:37:32,000 Speaker 1: how we advertise. But the point being, you run promotions, 628 00:37:32,040 --> 00:37:35,080 Speaker 1: even if it's in store promotions, you know, it doesn't 629 00:37:35,080 --> 00:37:38,560 Speaker 1: necessarily set the world on fire, at least in our industry. 630 00:37:38,800 --> 00:37:40,839 Speaker 1: And again, like I said earlier, you can only our 631 00:37:41,120 --> 00:37:45,600 Speaker 1: customers can also only eat so much, even if something's 632 00:37:45,640 --> 00:37:48,160 Speaker 1: on a two for one special. It's like, well, I 633 00:37:48,239 --> 00:37:51,239 Speaker 1: live by myself, I can only eat one. Buying two 634 00:37:51,239 --> 00:37:53,080 Speaker 1: of them and having one to throw out doesn't make 635 00:37:53,120 --> 00:37:56,240 Speaker 1: any sense either. Ken you've never had me as a customer, 636 00:37:57,000 --> 00:38:00,360 Speaker 1: I guarantee you I could eat all of everything. Anyway, 637 00:38:00,400 --> 00:38:03,160 Speaker 1: go ahead, I guess I have a long way of saying, 638 00:38:03,360 --> 00:38:09,000 Speaker 1: we'll see it in just my employees getting done at 639 00:38:09,040 --> 00:38:11,719 Speaker 1: eleven o'clock in the morning having started at you know, 640 00:38:12,000 --> 00:38:14,920 Speaker 1: four thirty or five, instead of getting done at one 641 00:38:14,960 --> 00:38:17,760 Speaker 1: thirty or two in the afternoon on Friday. Let's say 642 00:38:17,960 --> 00:38:21,200 Speaker 1: that's kind of a measure of of just slow down 643 00:38:21,239 --> 00:38:24,160 Speaker 1: and work again. If that happens in January, it's normal. 644 00:38:24,520 --> 00:38:28,120 Speaker 1: If that happens in March, when we've got possibly a 645 00:38:28,200 --> 00:38:30,520 Speaker 1: Punsky Day, I won't even tell you what that is, 646 00:38:30,760 --> 00:38:33,880 Speaker 1: but we've got St. Patrick's Day, We've got Pie Day 647 00:38:33,880 --> 00:38:36,800 Speaker 1: that's a big one, possibly Easter, and we got Eastern 648 00:38:37,080 --> 00:38:39,799 Speaker 1: in either March or April. You know, if we're not 649 00:38:39,920 --> 00:38:42,560 Speaker 1: working hard at that time of the year, then we're 650 00:38:42,600 --> 00:38:45,880 Speaker 1: definitely in a recession. We did your care Pulaski Day. 651 00:38:45,920 --> 00:38:47,720 Speaker 1: I remember that day. I went to school in Illinois 652 00:38:47,760 --> 00:38:55,440 Speaker 1: for a while. Well day, Um, yeah, it's Polish. It's 653 00:38:55,440 --> 00:38:58,520 Speaker 1: big in Chicago. It's big in Detroit, and you know, 654 00:38:58,560 --> 00:39:01,640 Speaker 1: we sell tens of thousands of those things, and it's 655 00:39:01,640 --> 00:39:03,719 Speaker 1: it's a wonderful day because I remember we used to 656 00:39:03,760 --> 00:39:05,879 Speaker 1: get off for Pulaski Day, which is also in March. 657 00:39:06,920 --> 00:39:09,279 Speaker 1: But yes, maybe that's not as much of it. Maybe 658 00:39:09,320 --> 00:39:11,200 Speaker 1: that's not as much of a big goods holiday. I 659 00:39:11,239 --> 00:39:13,560 Speaker 1: don't know, it is not a big goods holiday. It 660 00:39:13,640 --> 00:39:17,360 Speaker 1: was great for going on ski trips because Chicago area, 661 00:39:17,440 --> 00:39:19,080 Speaker 1: we'd all be off and we could take the kids 662 00:39:19,080 --> 00:39:22,279 Speaker 1: out of school, go to Colorado and you know, on 663 00:39:22,280 --> 00:39:24,960 Speaker 1: a Monday, which is always what it is, the slopes 664 00:39:25,000 --> 00:39:30,440 Speaker 1: would be relatively uh unpopulated. But yeah, I got rid 665 00:39:30,440 --> 00:39:32,640 Speaker 1: of Kasimir Pulaski and I don't know if they got 666 00:39:32,719 --> 00:39:34,440 Speaker 1: rid of President's Day two. I'm not sure what we 667 00:39:34,480 --> 00:39:37,319 Speaker 1: get off anymore. I just have one last question, and 668 00:39:37,360 --> 00:39:39,319 Speaker 1: it actually goes back to this idea of like, you know, 669 00:39:39,360 --> 00:39:42,680 Speaker 1: the hoarding question. But you know, during the worst of 670 00:39:42,960 --> 00:39:46,480 Speaker 1: when it was the most challenging to hire workers, I'm 671 00:39:46,520 --> 00:39:49,760 Speaker 1: curious whether you saw labor hoarding as a phenomenon where 672 00:39:50,400 --> 00:39:53,680 Speaker 1: maybe you felt, Okay, we might be overstaffed relative to 673 00:39:53,680 --> 00:39:56,360 Speaker 1: the amount of demand, but given the difficulty in hiring 674 00:39:56,440 --> 00:39:59,600 Speaker 1: or competing with the next bakery over for employees, it's 675 00:39:59,600 --> 00:40:02,640 Speaker 1: still extent to keep that level. I'm curious if a 676 00:40:03,000 --> 00:40:05,600 Speaker 1: that was something you experienced and be can you just 677 00:40:05,640 --> 00:40:08,000 Speaker 1: talk a little bit more, how you know what it 678 00:40:08,040 --> 00:40:11,400 Speaker 1: looks like December two, which is today that day we're 679 00:40:11,400 --> 00:40:14,120 Speaker 1: recording and versus say the start of the year, when 680 00:40:14,560 --> 00:40:17,640 Speaker 1: you know, sort of the quit rate and other measures 681 00:40:17,640 --> 00:40:21,000 Speaker 1: of labor market intensity seemed to be much higher. So 682 00:40:21,040 --> 00:40:24,080 Speaker 1: as far as labor hoarding in our industry, and I 683 00:40:24,520 --> 00:40:27,799 Speaker 1: do hang with several other bakery owners and we are 684 00:40:27,880 --> 00:40:32,240 Speaker 1: talking constantly, we were not labor hoarding whatsoever. We were 685 00:40:32,800 --> 00:40:34,560 Speaker 1: asking each other, Hey, is if something you want to 686 00:40:34,560 --> 00:40:37,440 Speaker 1: get rid of, you know? And the answer was no, 687 00:40:37,680 --> 00:40:41,839 Speaker 1: I'm looking to um. So we were just definitely short 688 00:40:41,920 --> 00:40:47,000 Speaker 1: of bodies. I think most of us are again, like 689 00:40:47,080 --> 00:40:51,799 Speaker 1: we are closer to being fully staffed comparing today too, 690 00:40:51,960 --> 00:40:57,239 Speaker 1: when people are work quitting maybe more rapidly. I don't 691 00:40:57,239 --> 00:41:00,880 Speaker 1: know that we necessarily how people it in per se, 692 00:41:01,360 --> 00:41:05,319 Speaker 1: We just lost people for other reasons. Someone we just 693 00:41:05,360 --> 00:41:08,239 Speaker 1: wanted to pursue other careers or or work for a 694 00:41:08,280 --> 00:41:13,879 Speaker 1: different type of of bakery and it's still it actually 695 00:41:13,920 --> 00:41:17,799 Speaker 1: seems like it's been a little bit easier to find employees. 696 00:41:17,800 --> 00:41:23,240 Speaker 1: And I used indeed two to try and find people. 697 00:41:23,960 --> 00:41:27,879 Speaker 1: I'm not necessarily promoting it. I'm not dissuading people from 698 00:41:27,960 --> 00:41:30,120 Speaker 1: using it. It is what it is. I think they 699 00:41:30,160 --> 00:41:32,440 Speaker 1: advertise on a lot of podcasts. They're going to like that. 700 00:41:32,480 --> 00:41:37,759 Speaker 1: There's a totally organic mention of them. Yeah, keep going. 701 00:41:37,880 --> 00:41:42,080 Speaker 1: But yeah, it worked, but it it was not immediate, 702 00:41:42,239 --> 00:41:48,040 Speaker 1: and it took many interviews and many many responses of yeah, well, 703 00:41:48,239 --> 00:41:51,080 Speaker 1: we'll call you back someday to find the people that 704 00:41:51,360 --> 00:41:53,600 Speaker 1: we're going to be a good fit in our business. 705 00:41:53,960 --> 00:41:59,360 Speaker 1: Are you advertising for potential employees more in general? Like 706 00:41:59,440 --> 00:42:02,960 Speaker 1: keep post my job openings. So compared to ten years ago, 707 00:42:03,080 --> 00:42:06,120 Speaker 1: we never had to advertise for employees. People would walk 708 00:42:06,120 --> 00:42:08,759 Speaker 1: in asking if they could, you know, work for us, 709 00:42:09,320 --> 00:42:13,319 Speaker 1: So compared to that, yeah, we're having to advertise much more. 710 00:42:13,920 --> 00:42:18,760 Speaker 1: In the store, you know, retail sales clerk really hard 711 00:42:18,800 --> 00:42:21,120 Speaker 1: to to post a job on. And indeed, for that, 712 00:42:21,160 --> 00:42:24,240 Speaker 1: because you just got a lot of weird responses. Putting 713 00:42:24,239 --> 00:42:26,680 Speaker 1: a sign in the window and word of mouth is 714 00:42:26,719 --> 00:42:29,520 Speaker 1: what has worked best for us for for for the 715 00:42:29,560 --> 00:42:32,840 Speaker 1: professional staff, for the bakers and the cake decoration we advertise. 716 00:42:32,960 --> 00:42:35,799 Speaker 1: For the people in the store, we're just hope and 717 00:42:35,800 --> 00:42:38,919 Speaker 1: pray that they come in and generally that has worked. Okay, 718 00:42:39,040 --> 00:42:42,560 Speaker 1: So I have just one more question. It's an extremely 719 00:42:42,600 --> 00:42:46,040 Speaker 1: important one. We could talk for easily another few hours, 720 00:42:46,080 --> 00:42:47,879 Speaker 1: but I know it's your busiest time of the year, 721 00:42:47,880 --> 00:42:49,080 Speaker 1: so I don't want to take up too much of 722 00:42:49,120 --> 00:42:52,920 Speaker 1: your time. But very very important question. What's your favorite 723 00:42:53,040 --> 00:42:57,600 Speaker 1: baked good to eat around the season of how thank 724 00:42:57,760 --> 00:43:03,480 Speaker 1: miss oh Man? Um? So I have to say, I 725 00:43:03,520 --> 00:43:07,359 Speaker 1: mean I like everything, most everything we make. Not so 726 00:43:07,719 --> 00:43:10,600 Speaker 1: much of a fan of the poppy strip, but um, 727 00:43:10,719 --> 00:43:13,839 Speaker 1: this time of year for me, one of the best 728 00:43:13,840 --> 00:43:16,319 Speaker 1: things I take a sample of it every time is 729 00:43:16,360 --> 00:43:22,040 Speaker 1: something called stolen. Oh stolen. I love stolen. Yeah, and 730 00:43:22,280 --> 00:43:24,759 Speaker 1: what it's fresh out of the oven, you let it 731 00:43:24,760 --> 00:43:27,000 Speaker 1: cool down a little bit, and we always have to 732 00:43:27,040 --> 00:43:29,800 Speaker 1: sample at least one on every batch. You know. I 733 00:43:30,000 --> 00:43:33,319 Speaker 1: I've acquired a taste for that, And no, I didn't 734 00:43:33,360 --> 00:43:37,239 Speaker 1: like it as a kid, but I just really enjoy that. 735 00:43:37,640 --> 00:43:39,239 Speaker 1: But if you know, if we're not making that, if 736 00:43:39,280 --> 00:43:41,719 Speaker 1: it's not Christmas time, oh, then I go for a 737 00:43:42,280 --> 00:43:50,040 Speaker 1: very in cream filled like, all right, Ken, you're making 738 00:43:50,120 --> 00:43:53,719 Speaker 1: us both very very hungry. It was amazing having you on. 739 00:43:53,880 --> 00:43:57,719 Speaker 1: Really appreciated getting your perspective and getting to hear you know, 740 00:43:57,840 --> 00:44:00,640 Speaker 1: how a business owner is actually inter pritting a lot 741 00:44:00,680 --> 00:44:03,680 Speaker 1: of these big macro economic themes that we talked about 742 00:44:03,680 --> 00:44:05,680 Speaker 1: on the show a lot. So thank you so much, 743 00:44:06,040 --> 00:44:08,200 Speaker 1: Thank you, Thanks for having me. Thank you so much. 744 00:44:08,280 --> 00:44:25,360 Speaker 1: That was great. So Joe, I love that conversation and 745 00:44:25,360 --> 00:44:28,799 Speaker 1: there are so many interesting things to pick out of it. 746 00:44:28,880 --> 00:44:31,080 Speaker 1: But I mean, I guess let's just start with the 747 00:44:31,120 --> 00:44:35,120 Speaker 1: productivity thing, because you know, not only does it sound 748 00:44:35,160 --> 00:44:39,160 Speaker 1: like he's struggling to sort of keep up production at 749 00:44:39,320 --> 00:44:43,719 Speaker 1: pre COVID levels, but also just this idea of consciously 750 00:44:43,840 --> 00:44:46,960 Speaker 1: cutting back on things that might be more difficult to 751 00:44:47,080 --> 00:44:50,320 Speaker 1: make just to sort of simplify the overall production process. 752 00:44:50,640 --> 00:44:53,719 Speaker 1: That was really interesting. Yeah, that is really interesting. And 753 00:44:53,719 --> 00:44:56,279 Speaker 1: I know there's we've talked and you know, productivity in 754 00:44:56,320 --> 00:45:00,680 Speaker 1: general is this interesting question, and well, how how productive 755 00:45:00,680 --> 00:45:04,000 Speaker 1: can any entity be with a younger, less experienced workforce. 756 00:45:04,680 --> 00:45:07,480 Speaker 1: Maybe that means productivity is set to improve in the 757 00:45:07,520 --> 00:45:11,600 Speaker 1: future as less experienced workforce has become more experienced workforces. 758 00:45:11,920 --> 00:45:14,960 Speaker 1: That was an interesting thing. I thought the thing about 759 00:45:14,960 --> 00:45:19,160 Speaker 1: printed bags was interesting and oh, totally bigger companies getting 760 00:45:19,600 --> 00:45:22,920 Speaker 1: priority specialization and the idea that it's like what you 761 00:45:22,960 --> 00:45:25,120 Speaker 1: don't want. You could make a bigger order for bags, 762 00:45:25,160 --> 00:45:27,120 Speaker 1: but then you have to wear house all the bags yourself, 763 00:45:27,160 --> 00:45:30,600 Speaker 1: and you don't have that space. Obviously. The fact that 764 00:45:30,640 --> 00:45:34,200 Speaker 1: you know, the chip shortage is now contributed to gummy 765 00:45:34,200 --> 00:45:36,400 Speaker 1: bear shortage is like one of those sort of classes. 766 00:45:36,440 --> 00:45:39,360 Speaker 1: You never know where the semiconductor shortage is going to 767 00:45:39,400 --> 00:45:42,680 Speaker 1: crop up. Yeah, it's usually where it makes total sense. 768 00:45:42,680 --> 00:45:44,359 Speaker 1: When did you say, but you have never like sort 769 00:45:44,360 --> 00:45:47,280 Speaker 1: of like intuitively come to that any other way. Absolutely, 770 00:45:47,360 --> 00:45:51,239 Speaker 1: Also the inventory point, because this is a big thing. 771 00:45:51,320 --> 00:45:54,480 Speaker 1: You know, people are wondering to what excents strong consumer 772 00:45:54,520 --> 00:45:57,560 Speaker 1: demand is people just you know, making up for shortages, 773 00:45:57,719 --> 00:45:59,759 Speaker 1: and the same thing for businesses. And the idea of 774 00:46:00,000 --> 00:46:04,840 Speaker 1: and you know, accumulating big pots of cocoa powder. I 775 00:46:04,840 --> 00:46:08,400 Speaker 1: thought that was pretty interesting. And also a secondary market 776 00:46:08,440 --> 00:46:11,920 Speaker 1: in trading coco powder and corn starch and other essential 777 00:46:11,960 --> 00:46:15,200 Speaker 1: baked goods. I mean, I hadn't thought that that existed, 778 00:46:15,239 --> 00:46:16,960 Speaker 1: but it makes sense. I want to be a fly 779 00:46:17,080 --> 00:46:20,560 Speaker 1: on the wall and the you know, the the heads 780 00:46:20,600 --> 00:46:23,080 Speaker 1: of all these different Chicago bakers get together and they 781 00:46:23,080 --> 00:46:26,000 Speaker 1: talk about who has extra coco powder, who has a 782 00:46:26,200 --> 00:46:28,640 Speaker 1: who has an extra baker, and the kitchen is looking 783 00:46:28,680 --> 00:46:33,400 Speaker 1: for a different job. So many interesting economic ideas to 784 00:46:33,400 --> 00:46:36,160 Speaker 1: tease out of there. Yeah. Well, and the one other 785 00:46:36,200 --> 00:46:39,040 Speaker 1: thing I was thinking about was Ken mentioned that, you know, 786 00:46:39,120 --> 00:46:42,960 Speaker 1: it's actually difficult to raise prices because you have to 787 00:46:43,040 --> 00:46:45,279 Speaker 1: change all the labels. You know, you have to go 788 00:46:45,320 --> 00:46:48,320 Speaker 1: on the website and change prices. And one thing I've 789 00:46:48,360 --> 00:46:51,560 Speaker 1: heard that's kind of interesting, and it's just a pet 790 00:46:51,640 --> 00:46:55,520 Speaker 1: theory at the moment, but you know, with technological advances 791 00:46:55,920 --> 00:47:00,320 Speaker 1: and with automatic pricing systems for the big business says, 792 00:47:00,440 --> 00:47:02,759 Speaker 1: you know, for big box chains and things like that, 793 00:47:03,239 --> 00:47:05,880 Speaker 1: there is this idea that actually it's a lot easier 794 00:47:05,920 --> 00:47:09,000 Speaker 1: to raise your prices and change them than it has 795 00:47:09,040 --> 00:47:11,240 Speaker 1: been in the past. So I've heard people talk about 796 00:47:11,280 --> 00:47:14,879 Speaker 1: that is like one reason maybe that prices went up 797 00:47:14,880 --> 00:47:17,080 Speaker 1: so quickly, But I guess it means that prices could 798 00:47:17,120 --> 00:47:20,080 Speaker 1: go down quickly too. I hadn't realize that. It's very 799 00:47:20,080 --> 00:47:23,279 Speaker 1: interesting what you said about how in the past sort 800 00:47:23,320 --> 00:47:28,560 Speaker 1: of big notable disruptions were a good moment to sort 801 00:47:28,600 --> 00:47:31,200 Speaker 1: of raise prices. Right, So if everyone's talking about you 802 00:47:31,200 --> 00:47:34,480 Speaker 1: know that it's sort of like the opportunistic or strategic 803 00:47:34,560 --> 00:47:37,840 Speaker 1: timing of price increases. And then you think, okay, well, 804 00:47:37,880 --> 00:47:40,239 Speaker 1: now we have like inflation and so many different things 805 00:47:40,280 --> 00:47:42,800 Speaker 1: are going up, and this idea that, okay, you can 806 00:47:42,840 --> 00:47:46,480 Speaker 1: easily raise prices in five percent increments multiple times over 807 00:47:46,520 --> 00:47:49,440 Speaker 1: and over again, and the fact that no one really 808 00:47:49,520 --> 00:47:52,239 Speaker 1: seems to push back on it, or at least so far, 809 00:47:52,360 --> 00:47:56,560 Speaker 1: is pretty notable. Yeah. Absolutely, I guess that's how the happen. 810 00:47:58,600 --> 00:48:01,920 Speaker 1: You mean chocolate spirals? Right? All right, all right, we 811 00:48:01,920 --> 00:48:04,680 Speaker 1: should leave it there because I need to go eat 812 00:48:04,880 --> 00:48:06,960 Speaker 1: some sort of baked good. All let's leave it there. 813 00:48:07,320 --> 00:48:10,040 Speaker 1: This has been another episode of the Odd Thoughts podcast. 814 00:48:10,120 --> 00:48:12,520 Speaker 1: I'm Tracy Alloway. You can follow me on Twitter at 815 00:48:12,560 --> 00:48:15,160 Speaker 1: Tracy Alloway and I'm Joe Why Isn't All? You could 816 00:48:15,200 --> 00:48:18,240 Speaker 1: follow me on Twitter at the Stalwart. You can follow 817 00:48:18,280 --> 00:48:21,280 Speaker 1: the Jerosha Bakery. They're on Twitter at Jerosh Bakery, although 818 00:48:21,320 --> 00:48:23,719 Speaker 1: I think they're more active on Instagram, which makes sense. 819 00:48:23,719 --> 00:48:26,239 Speaker 1: You can look at all their bake goods at Jerosh Bakery. 820 00:48:26,640 --> 00:48:31,160 Speaker 1: Follow our producers Kermen Rodriguez at Kerman Armand and dash 821 00:48:31,160 --> 00:48:33,920 Speaker 1: Will Bennett at Dashbot and check out all of our 822 00:48:33,960 --> 00:48:38,479 Speaker 1: podcasts under the handle at podcasts and for more odd 823 00:48:38,480 --> 00:48:41,719 Speaker 1: Lots content, go to bloomberg dot com slash Oddlods, where 824 00:48:41,760 --> 00:48:44,440 Speaker 1: we post transcripts, we blog, and we even have a 825 00:48:44,440 --> 00:48:46,960 Speaker 1: weekly newsletter that Tracy and I write that you should 826 00:48:46,960 --> 00:49:05,320 Speaker 1: subscribe to. Thanks for listening to