WEBVTT - Weak Foodservice Capacity Lifts Restaurant Costs

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<v Speaker 1>Welcome to Chopping It Up. I'm your host Mike Hanlon,

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<v Speaker 1>the senior Restaurant and Food Service analyst at Bloomberg Intelligence.

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<v Speaker 1>Today we're joined by David Maloney. David is the founder

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<v Speaker 1>of datam Fs, a supply chain consultancy. He's the host

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<v Speaker 1>of the Farm to Fork podcast and partner in the

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<v Speaker 1>Pastry Art Cafe in Sarasota. So thanks for taking time

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<v Speaker 1>away from your many jobs to do this, David.

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<v Speaker 2>Thanks for having me.

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<v Speaker 1>Mike. Sure thing and we were just catching up quick

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<v Speaker 1>before the podcast, and he told me you gave up

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<v Speaker 1>beer for lent. So you're an IPA guy, right. Do

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<v Speaker 1>you have any I pas right now that well prior

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<v Speaker 1>to Lent that you were especially enjoying. Sure?

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<v Speaker 3>Yeah, I prefer the locals. So Sarasota, we have two

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<v Speaker 3>big breweries. Matter of fact, there's a one of them,

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<v Speaker 3>Big Top. There's a big circus. The Ringling Brothers wintered

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<v Speaker 3>here and so there's a lot of circus. There's a

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<v Speaker 3>circus museum, there's all kinds of stuff in here.

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<v Speaker 2>So Big Top is the main one of the big breweries.

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<v Speaker 3>And actually they're opening up a beer garden about ten

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<v Speaker 3>minutes down the road this month. So it's a celebration

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<v Speaker 3>of being over and me giving up beer, I guess.

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<v Speaker 3>And there's another one that's one National War Award. It's

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<v Speaker 3>a small brewery called Caloosa, which was the Indians that

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<v Speaker 3>were here settled in this area of Florida named after them,

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<v Speaker 3>and they have a zote that is pretty good. As

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<v Speaker 3>matter of fact, I'm pretty sure that's my Easter basket

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<v Speaker 3>is for sixteen ounce zots for Sunday.

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<v Speaker 1>Nice man. You know those sixteen ounce IPAs will get

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<v Speaker 1>you too, man.

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<v Speaker 3>Oh, I know, they're too big. That's why I never

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<v Speaker 3>buy them. They're just too big.

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<v Speaker 1>Yeah. There's one of the New York Industrial arts. They're

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<v Speaker 1>excellent and super strong. And the first time I drank them,

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<v Speaker 1>it was like a real hot summer day. It was

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<v Speaker 1>like pre gaming for a Metallica concert, and they went

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<v Speaker 1>down really really fast, and I was like, well, I

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<v Speaker 1>got to slow down here, you know. And I've been

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<v Speaker 1>introduced to Zombie Dust recently. It's a Midwest brewery maybe

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<v Speaker 1>Zombie ducks Dust. Zombie Dust all right, cool artwork too, Yeah,

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<v Speaker 1>check them out. And so you were mentioning you substituted

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<v Speaker 1>with a different alcohol.

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<v Speaker 2>Yeah, I did.

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<v Speaker 3>I'm not much of a liquor fan, but I am

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<v Speaker 3>a more garita fan, and.

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<v Speaker 2>So I decided, well, I'll buy a bottle.

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<v Speaker 3>Tequila, a good bottle tequila, and I dog this the

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<v Speaker 3>length of tequila. I think I've not that I drink

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<v Speaker 3>that much, folks, but I really don't. I have a

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<v Speaker 3>couple of beers or I wondered who drinks. I love

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<v Speaker 3>a nice glass of wine when I'm cooking. But it's uh,

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<v Speaker 3>I've probably drank more tequila this this Lent than I've

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<v Speaker 3>drinking in the last decade, at least, that's what I've

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<v Speaker 3>followed my friends.

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<v Speaker 1>Well, I'm a tequila fan.

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<v Speaker 3>Uh.

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<v Speaker 1>You know, there's plenty of brands I like, but I'm

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<v Speaker 1>big on G four.

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<v Speaker 3>So if you come four, all right, I'm gonna need

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<v Speaker 3>to detox from tequila for a while.

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<v Speaker 1>So well, you know, probiotics, it's supposed to be the

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<v Speaker 1>best alcohol for you. So okay, cool, all right, let's

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<v Speaker 1>let's jump in. How's business at the cafe?

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<v Speaker 2>You know, it's good.

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<v Speaker 3>It's good, you know, generally Sarasota, and we're located on

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<v Speaker 3>Main Street downtown Sarasota. We bought it two and a

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<v Speaker 3>half years ago. It's been there for thirty years. We

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<v Speaker 3>have probably the best patio in downtown historic Sarasota. I

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<v Speaker 3>mean it's a great spot. You know, everybody comes in there,

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<v Speaker 3>the mayor comes in there. I mean, it is the community.

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<v Speaker 3>It's the heartbeat of downtown Sarasota, you know, Sarah. Florida

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<v Speaker 3>in general, I think struggling with when I say struggling,

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<v Speaker 3>tourist business isn't quite what it was the last couple

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<v Speaker 3>of years. And I think part of that is we

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<v Speaker 3>have a lot more competition now. We were kind of

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<v Speaker 3>the destination of choices. We were one of the only

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<v Speaker 3>ones that were fully open, So you know, I think that,

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<v Speaker 3>and you know, let's face it, as an industry, we've

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<v Speaker 3>raised our prices. I mean, we at the Cafe haven't

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<v Speaker 3>raised our prices in over fifteen months, but you know,

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<v Speaker 3>we probably had fifteen percent price increases since we bought

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<v Speaker 3>it two and a half years ago.

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<v Speaker 2>So we have that.

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<v Speaker 3>We have more competition as Florida gets more crowded to

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<v Speaker 3>you know, as far as so, but our traffic is down.

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<v Speaker 3>And I'm hearing this consistently downtown, from high end restaurants

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<v Speaker 3>to to QSR is down ten percent or so year

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<v Speaker 3>on year, which is tough, but you know, it also

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<v Speaker 3>forces you to get smarter about your business. And we

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<v Speaker 3>have and we're making money. And if you can say

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<v Speaker 3>that in this business, you're doing pretty well.

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<v Speaker 1>Yeah for sure. All right, good stuff. So let's get

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<v Speaker 1>into datam fs. Who's the typical customer and what services

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<v Speaker 1>are you providing them?

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<v Speaker 3>Yeah, so we're a consultancy of actually a group of

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<v Speaker 3>fifteen mostly retired or near retired supply chain executives or consultants,

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<v Speaker 3>some in food service distribution, some in food manufacturing, you know,

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<v Speaker 3>for big brands like Procter and Gamble, And you know,

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<v Speaker 3>we all have different talents. You know, mine in particular

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<v Speaker 3>is more in the data supply chain commodities, which we're

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<v Speaker 3>going to talk about today. You know a lot of

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<v Speaker 3>the other partners have obviously different expertise, but we all

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<v Speaker 3>one passion and that that passion is to see the

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<v Speaker 3>food service supply chain evolve. And I think you know

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<v Speaker 3>what what COVID did to the food service supply chain

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<v Speaker 3>is that one it exposed it that that it needs

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<v Speaker 3>some help, but it also raised raised the the expectation

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<v Speaker 3>and performance and the food service supply chain and the

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<v Speaker 3>importance within the organizations. So I I I think this.

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<v Speaker 3>You know, we all want to see this, this food

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<v Speaker 3>service supply chain evolve at least a little bit faster

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<v Speaker 3>than it is. And you know, we think that the

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<v Speaker 3>that you know, we have a passion for that and

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<v Speaker 3>all this compounded knowledge that we've have, we can help

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<v Speaker 3>it get there and that's our goal.

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<v Speaker 1>Great, all right, So my mentor always taught me to

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<v Speaker 1>start from the very beginning. Uh, when I'm doing my research,

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<v Speaker 1>So how our feed and fertilizer costs tracking versus last year?

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<v Speaker 1>And what's your outlook?

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<v Speaker 3>Yeah, so we have good news there, right, So corn,

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<v Speaker 3>the corn and soybean crops domestically were much better than

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<v Speaker 3>the last couple of years. You know, weather was much better,

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<v Speaker 3>acres acres, particularly for corn, we're very strong. So we've

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<v Speaker 3>got historically adequate to almost ample corn supplies domestically. Soybean

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<v Speaker 3>supplies you could make the argument that they're borderline tight

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<v Speaker 3>to adequate. Well, we're going to see bigger soybean acres

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<v Speaker 3>this year in the United States, and so I'm optimistic

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<v Speaker 3>if these cop crops can perform that we're going to

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<v Speaker 3>see even better supplies as we get into twenty twenty five.

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<v Speaker 3>So the trend and feed, which is extremely important for

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<v Speaker 3>the food service industry and retailers for costs, particularly for

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<v Speaker 3>proteins and dairy, the trend and is down. We are

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<v Speaker 3>seeing that across the board with soybean meal, corn, even

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<v Speaker 3>soybean oil, wheat supplies are down. So that's a very

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<v Speaker 3>good sign at least for commodity prices over the next

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<v Speaker 3>couple of years.

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<v Speaker 1>Great, and then is there a lag in how long

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<v Speaker 1>we might see that kind of yeah.

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<v Speaker 3>So, so you know, for restaurants, restaurants don't really buy feed,

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<v Speaker 3>right they buy they buy the proteins and the dairy

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<v Speaker 3>from from where feed can be a major cost component

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<v Speaker 3>in that production.

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<v Speaker 2>So it differs.

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<v Speaker 3>So typically the poultry industry, of the chicken industry will

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<v Speaker 3>react much faster, right, that lag will be much shorter.

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<v Speaker 3>And we can talk about that more in a minute.

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<v Speaker 3>I mean, but you're kind of seeing that dynamic right

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<v Speaker 3>now where where we've seen poultry producers, at least on

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<v Speaker 3>the spot markets, their margins are some of the best

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<v Speaker 3>we've seen in almost two years. So and chicken producers

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<v Speaker 3>typically aren't very disciplined with production and so you know,

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<v Speaker 3>it wouldn't surprise me if we see much better chicken

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<v Speaker 3>supplies this fall. Then a lot of anticipating right now

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<v Speaker 3>or we expected, you know, just a couple months ago,

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<v Speaker 3>so you have that kind of kind of quick lag.

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<v Speaker 2>And then if you if you kind of take it.

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<v Speaker 3>To the next stretched step, which would be hogs or pork,

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<v Speaker 3>which is not really that big of an item for restaurants,

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<v Speaker 3>all right, but you're going to go into so if

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<v Speaker 3>you kind of think about chickens would be quarters, you know,

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<v Speaker 3>a couple I'm sorry, a couple months reaction, three or

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<v Speaker 3>four depending on how many what the layer, the broiler

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<v Speaker 3>layer situation is. Then you would have hogs, which might

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<v Speaker 3>be quarters. It takes a couple of quarters or so

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<v Speaker 3>two or three quarters. And then you get into cattle,

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<v Speaker 3>which is extremely important for the restaurant industry. Now we're

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<v Speaker 3>talking years, right, and we have a particularly historic situation

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<v Speaker 3>going on right now in cattle.

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<v Speaker 1>Yeah, and we'll talk about that in a second. But

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<v Speaker 1>and is that mainly a function of how long it

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<v Speaker 1>takes to grow those animals to full size?

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<v Speaker 2>Sure? Yeah, for sure, yep.

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<v Speaker 1>Okay, great, So yeah, beef inflation, man, to your point

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<v Speaker 1>continues to be a big talking point for all the

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<v Speaker 1>restaurant companies we cover. Talk to us about the current

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<v Speaker 1>dynamics in that market and how long you think it

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<v Speaker 1>will take for supply to catch up with demand.

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<v Speaker 3>Yeah, so it's going to the answer the last part

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<v Speaker 3>of your question.

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<v Speaker 2>It's going to take a while. Right.

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<v Speaker 3>We are in a downward cycle and the cattle herd

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<v Speaker 3>and you know, and that downward cycle takes years, and

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<v Speaker 3>it takes years to recover, so.

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<v Speaker 2>You know, and what drives that.

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<v Speaker 3>There's several issues that can drive, but high feed prices

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<v Speaker 3>the feed lots.

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<v Speaker 2>Can dampen demand for the animals.

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<v Speaker 3>You've particularly got drought in the southern planes, which we've

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<v Speaker 3>had over the last couple of years. Very hard for

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<v Speaker 3>the ranchers to expand if they don't have grass, right,

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<v Speaker 3>very hard, I mean possible.

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<v Speaker 1>Right.

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<v Speaker 3>So we've had that cycle, and yes, the drought has improved,

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<v Speaker 3>and we can talk about that more in a minute, but.

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<v Speaker 2>Just to give you.

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<v Speaker 3>Perspective, the last time we went through this cycle, beef

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<v Speaker 3>production peaked in two thousand and eight. We did not

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<v Speaker 3>return to two thousand and eight beef production levels until

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<v Speaker 3>twenty and eighteen. Wow, I'm not saying it's going to

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<v Speaker 3>take a decade, but this is not going to be

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<v Speaker 3>fixed next year or the year after. And yeah, we

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<v Speaker 3>may see better beef supplies. I think we're going to

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<v Speaker 3>see smaller beef supplies in twenty five. We may ac

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<v Speaker 3>better beef supplies than twenty six, But if we look

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<v Speaker 3>at our peak level, which would be twenty twenty two,

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<v Speaker 3>it's gonna be at least twenty twenty eight. As a

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<v Speaker 3>matter of fact, the USDA, I think and their long

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<v Speaker 3>term projections doesn't have beef production returning to twenty twenty

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<v Speaker 3>two levels until two thousand and thirty two.

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<v Speaker 1>Wow. And so they're building, and they're in the process

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<v Speaker 1>of building the herd, and that's part of the.

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<v Speaker 2>Well, we haven't seen that yet, right.

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<v Speaker 3>So we get a semi annual report from from the

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<v Speaker 3>USDA on the cattle herd, the size of the cattle herd,

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<v Speaker 3>and we got one at the end of January, and

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<v Speaker 3>that was for January.

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<v Speaker 2>One, and the cattle herd was down.

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<v Speaker 3>Now there are things that I look for when we

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<v Speaker 3>get our next report in the end of July. The

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<v Speaker 3>conditions are there for them to expand. So certainly, let's

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<v Speaker 3>just say, the watch is on, right, But.

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<v Speaker 2>What I'm looking for is is.

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<v Speaker 3>Less female animals in the slaughter mix or less female

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<v Speaker 3>animals in the feed lots. And the idea is is

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<v Speaker 3>there will be less at least as a percentage of

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<v Speaker 3>a share of the total animals. There will be less

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<v Speaker 3>because they're being retained to expand the hurt. And I

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<v Speaker 3>haven't really seen that yet. Now, I will say, if

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<v Speaker 3>you look at kind of you think of it this way,

0:13:28.679 --> 0:13:31.360
<v Speaker 3>And this is probably one of the most important markets

0:13:31.800 --> 0:13:35.160
<v Speaker 3>for a lot of the restaurants you cover. But it's

0:13:35.160 --> 0:13:38.000
<v Speaker 3>the beef trim markets, which typically go into Hamburger.

0:13:38.440 --> 0:13:38.600
<v Speaker 1>Right.

0:13:39.679 --> 0:13:43.679
<v Speaker 3>The beef, the leaner beef trim, meaning not as much fat,

0:13:43.760 --> 0:13:48.360
<v Speaker 3>typically comes from your working cows. Okay, so your mama cows,

0:13:48.480 --> 0:13:53.120
<v Speaker 3>your dairy cows, et cetera. Those prices right now are

0:13:53.160 --> 0:13:59.000
<v Speaker 3>at record highs and seasonally they should continue to go higher,

0:14:00.120 --> 0:14:03.319
<v Speaker 3>and they're a full eight percent above the peak last

0:14:03.360 --> 0:14:09.679
<v Speaker 3>year already. That suggests to me that, hey, maybe some

0:14:09.760 --> 0:14:11.239
<v Speaker 3>of these cows are being.

0:14:11.000 --> 0:14:14.320
<v Speaker 1>Retained, gotcha, And so that's going to hurt near term

0:14:14.400 --> 0:14:20.960
<v Speaker 1>supply if that happens. Got it? Very interesting? All right? Uh?

0:14:21.040 --> 0:14:23.720
<v Speaker 1>You know we you touched on pork a little bit.

0:14:24.640 --> 0:14:29.640
<v Speaker 1>But yeah, breakfast is important for me. I I fast intermittently,

0:14:29.720 --> 0:14:32.160
<v Speaker 1>so I don't need too during breakfast time. But ye,

0:14:32.800 --> 0:14:34.600
<v Speaker 1>all day breakfast is great man. That's how I love

0:14:34.600 --> 0:14:39.600
<v Speaker 1>New Jersey diners, you know. Yeah, so is avion flu

0:14:39.680 --> 0:14:42.680
<v Speaker 1>still impacting the egg market? And and what's happening in

0:14:42.720 --> 0:14:45.520
<v Speaker 1>pork bellies and sALS? Are my bacon and sausa's price

0:14:45.600 --> 0:14:46.520
<v Speaker 1>is going to go up this year?

0:14:47.120 --> 0:14:49.600
<v Speaker 3>Okay, well let's start with the pork. The pork one

0:14:49.680 --> 0:14:54.280
<v Speaker 3>is easier, so they will start there. So, yeah, pork

0:14:54.280 --> 0:14:56.440
<v Speaker 3>prices might be a little bit more expensive this year.

0:14:56.480 --> 0:14:59.760
<v Speaker 3>But but but we got some data from the USDA

0:14:59.840 --> 0:15:04.040
<v Speaker 3>the in December. The hog herd is is we get

0:15:04.120 --> 0:15:06.400
<v Speaker 3>that data quarterly instead of semi annual.

0:15:08.080 --> 0:15:10.280
<v Speaker 2>The hog herd is bigger than we anticipated.

0:15:11.280 --> 0:15:13.560
<v Speaker 3>Pork production is going to be up pretty strong, particularly

0:15:13.640 --> 0:15:18.320
<v Speaker 3>the back half of this year, so we may see

0:15:18.360 --> 0:15:22.120
<v Speaker 3>some stronger retail feature activity for pork, which should lift those.

0:15:21.920 --> 0:15:22.840
<v Speaker 2>Markets at times.

0:15:23.440 --> 0:15:25.640
<v Speaker 3>Right, But I don't really don't think they're going to

0:15:25.760 --> 0:15:29.520
<v Speaker 3>run away from US, and I think pork is going

0:15:29.600 --> 0:15:32.760
<v Speaker 3>to be just fine, So you'll be good on your bacon.

0:15:34.680 --> 0:15:36.200
<v Speaker 2>As far as avian flu.

0:15:36.800 --> 0:15:40.160
<v Speaker 3>So the good news with avian flu and table legs

0:15:40.720 --> 0:15:43.280
<v Speaker 3>is we haven't really had any cases for about two

0:15:43.360 --> 0:15:47.280
<v Speaker 3>months or a little bit over two months, but we

0:15:47.480 --> 0:15:51.680
<v Speaker 3>had quite a few cases in that migratory period where

0:15:51.680 --> 0:15:55.400
<v Speaker 3>the birds were migrating there during the fall and into

0:15:55.560 --> 0:16:01.080
<v Speaker 3>the winter into the early winter. The number of broiler

0:16:01.240 --> 0:16:04.080
<v Speaker 3>i'm sorry, table egg layers. When I say layers, I

0:16:04.080 --> 0:16:08.080
<v Speaker 3>mean like a hen who's laying the eggs, right, Those

0:16:08.120 --> 0:16:11.800
<v Speaker 3>were down on the latest USDA report, So that would

0:16:11.800 --> 0:16:15.080
<v Speaker 3>be the March one number about one percent year on year,

0:16:15.200 --> 0:16:18.480
<v Speaker 3>So that's the first time we've fallen below year ago levels.

0:16:18.480 --> 0:16:20.640
<v Speaker 3>As a matter of fact, it's the first time that

0:16:20.760 --> 0:16:23.360
<v Speaker 3>March has been below i'm sorry, only the third time

0:16:23.400 --> 0:16:26.240
<v Speaker 3>in the last seven years that March has been below February.

0:16:26.840 --> 0:16:30.240
<v Speaker 3>So it's definitely impacting the number of layers we have.

0:16:31.000 --> 0:16:35.560
<v Speaker 3>The egg prices are much more expensive than we anticipated

0:16:35.600 --> 0:16:39.280
<v Speaker 3>anticipated them to be probably six months ago or before

0:16:39.360 --> 0:16:42.880
<v Speaker 3>that avian flew. And even if we don't have any

0:16:42.920 --> 0:16:47.360
<v Speaker 3>other cases, this is likely the impact the table eggs

0:16:47.360 --> 0:16:52.360
<v Speaker 3>supply markets for probably at least into the summer. And

0:16:52.880 --> 0:16:55.880
<v Speaker 3>so you know, we got through Easter already that's our

0:16:55.880 --> 0:17:00.040
<v Speaker 3>big demand, right, I mean, the pool for Easter is done,

0:17:00.960 --> 0:17:04.080
<v Speaker 3>so it's not that we I expect them to run

0:17:04.119 --> 0:17:07.880
<v Speaker 3>significantly higher. But but the down seasonal downside could be tempered.

0:17:09.480 --> 0:17:12.639
<v Speaker 1>Interesting, And is there any concern that you know, uh,

0:17:12.920 --> 0:17:16.120
<v Speaker 1>the like my spring migration could spread.

0:17:15.840 --> 0:17:16.840
<v Speaker 2>A for sure?

0:17:17.000 --> 0:17:20.520
<v Speaker 3>Yeah, yeah, sure, sure, So it's certainly something we have

0:17:20.600 --> 0:17:24.800
<v Speaker 3>to watch. But you know, I mean there's always avian

0:17:24.880 --> 0:17:25.960
<v Speaker 3>flu every year, right.

0:17:27.200 --> 0:17:28.200
<v Speaker 2>You know, we had a.

0:17:28.119 --> 0:17:32.040
<v Speaker 3>Couple of years ago we had really bad for table leggs.

0:17:33.200 --> 0:17:35.399
<v Speaker 3>We're always going to have it, you know, I would

0:17:35.400 --> 0:17:41.240
<v Speaker 3>say that, you know, the the US poultry industry is

0:17:43.200 --> 0:17:48.280
<v Speaker 3>very good and becoming better and better at insulating itself

0:17:48.280 --> 0:17:51.640
<v Speaker 3>from it. So you know, my hope is it won't

0:17:51.680 --> 0:17:52.240
<v Speaker 3>be as bad.

0:17:53.400 --> 0:17:53.920
<v Speaker 1>Okay, cool?

0:17:54.480 --> 0:17:54.600
<v Speaker 3>Uh?

0:17:54.800 --> 0:17:58.600
<v Speaker 1>And finishing up on breakfast coffee prices, they're up year

0:17:58.600 --> 0:18:00.920
<v Speaker 1>over year. What's your twenty twenty four outlook?

0:18:01.800 --> 0:18:05.440
<v Speaker 3>Yeah, so, I mean we've had some challenges in Brazil.

0:18:06.200 --> 0:18:10.600
<v Speaker 3>You have some challenges with robust to crops, you know,

0:18:10.720 --> 0:18:14.520
<v Speaker 3>not quite honestly not my area of great area of expertise,

0:18:14.560 --> 0:18:16.879
<v Speaker 3>but you know, fairly inflated prices are.

0:18:16.800 --> 0:18:18.440
<v Speaker 2>Likely to persist for coffee.

0:18:18.840 --> 0:18:21.240
<v Speaker 3>But but not expected to run away from where we're

0:18:21.240 --> 0:18:21.720
<v Speaker 3>at today.

0:18:23.200 --> 0:18:27.800
<v Speaker 1>But that's a pretty delicate crop, right and something that

0:18:28.320 --> 0:18:31.440
<v Speaker 1>you know, one bad frost or oh for.

0:18:31.440 --> 0:18:34.359
<v Speaker 3>Sure, yeah, for sure, and it could it can then

0:18:35.000 --> 0:18:39.360
<v Speaker 3>it can impact supplies for a couple of years.

0:18:39.520 --> 0:18:43.800
<v Speaker 1>Right, Okay, yep, yeah, so uh it being volatile, it's

0:18:43.840 --> 0:18:48.960
<v Speaker 1>definitely something we watch closely for Starbucks Tim Horton's coffee chains.

0:18:50.600 --> 0:18:52.760
<v Speaker 1>Milk and cheese prices are way down year over year.

0:18:52.760 --> 0:18:54.040
<v Speaker 1>Do you expect that to continue?

0:18:54.680 --> 0:18:55.679
<v Speaker 2>Well, I'll tell you so.

0:18:56.280 --> 0:19:03.240
<v Speaker 3>Uh. It's interesting that the the milk milk production has

0:19:03.240 --> 0:19:06.320
<v Speaker 3>been tracking below year ago levels and typically when you

0:19:06.400 --> 0:19:10.320
<v Speaker 3>see that, you would see much higher cheese prices, and

0:19:10.359 --> 0:19:11.760
<v Speaker 3>we're not seeing it this year.

0:19:12.200 --> 0:19:13.159
<v Speaker 2>And let me step back.

0:19:13.200 --> 0:19:15.359
<v Speaker 3>One of the reasons that milk production is tracking below

0:19:15.440 --> 0:19:17.680
<v Speaker 3>ye ago levels relates.

0:19:17.240 --> 0:19:19.000
<v Speaker 2>Back to the cattle situation.

0:19:20.080 --> 0:19:25.080
<v Speaker 3>So what happens is when cow supplies, remember those working cows,

0:19:25.119 --> 0:19:29.719
<v Speaker 3>get very tight, prices go up for them, and so

0:19:29.760 --> 0:19:32.000
<v Speaker 3>the dairy farmers kind of have these low milk prices.

0:19:32.040 --> 0:19:34.880
<v Speaker 3>In the last couple of years, they've had high feed prices,

0:19:34.920 --> 0:19:40.160
<v Speaker 3>including high alfalfa hay prices. There's an incentive for them

0:19:40.240 --> 0:19:45.760
<v Speaker 3>to liquidate some of their lesser performing cows, right, and

0:19:45.840 --> 0:19:49.119
<v Speaker 3>so those cow prices are high, and so they liquidate them.

0:19:49.200 --> 0:19:52.600
<v Speaker 3>So the cattle herd, that dairy cow herd is declining,

0:19:53.200 --> 0:19:56.360
<v Speaker 3>and milk production is declining in part because what's going on.

0:19:56.359 --> 0:19:58.680
<v Speaker 2>With cattle right now.

0:19:58.720 --> 0:20:01.520
<v Speaker 3>Back to cheese, but cheese just doesn't seem want to

0:20:01.560 --> 0:20:05.040
<v Speaker 3>go up. And what's interesting with cheese right now is

0:20:05.080 --> 0:20:08.800
<v Speaker 3>I run a rough disappearance model on it, and disappearance

0:20:08.880 --> 0:20:11.160
<v Speaker 3>meaning you know, we kind of relate that to consumption,

0:20:11.280 --> 0:20:12.600
<v Speaker 3>but we don't really know what.

0:20:12.640 --> 0:20:13.240
<v Speaker 2>Happens to it.

0:20:13.359 --> 0:20:20.160
<v Speaker 3>Right The disappearance model on cheese here in the United States,

0:20:20.520 --> 0:20:23.359
<v Speaker 3>the growth is the twelve month average of that growth

0:20:23.400 --> 0:20:25.040
<v Speaker 3>is just zero point three percent.

0:20:25.880 --> 0:20:26.639
<v Speaker 2>To give you some.

0:20:26.520 --> 0:20:32.879
<v Speaker 3>Perspective, that is the smallest growth that we've seen, not

0:20:33.000 --> 0:20:38.560
<v Speaker 3>including COVID, in over a decade. So something's going on

0:20:38.720 --> 0:20:40.520
<v Speaker 3>there that I haven't been able to point my finger

0:20:40.600 --> 0:20:41.080
<v Speaker 3>on yet.

0:20:41.280 --> 0:20:42.879
<v Speaker 2>Could be prior high prices.

0:20:44.600 --> 0:20:47.119
<v Speaker 3>You know, I know, I eat less cheese probably than

0:20:47.160 --> 0:20:50.280
<v Speaker 3>I did ten or I love cheese right like my

0:20:50.400 --> 0:20:52.200
<v Speaker 3>IPA's all right, So.

0:20:53.760 --> 0:20:56.400
<v Speaker 1>But I drink less IPAs and I eat less cheese.

0:20:56.440 --> 0:20:58.359
<v Speaker 1>The older I get, you know, exactly.

0:20:58.480 --> 0:21:00.959
<v Speaker 3>So what I'm trying to you know, remember when we

0:21:00.960 --> 0:21:04.080
<v Speaker 3>were young and you would say, oh, yeah, but but

0:21:04.600 --> 0:21:06.480
<v Speaker 3>they're old, And now I kind of look at myself

0:21:06.520 --> 0:21:08.520
<v Speaker 3>and well I have to try to try to go

0:21:08.640 --> 0:21:10.960
<v Speaker 3>back and say, well, I don't understand what my kids

0:21:10.960 --> 0:21:13.000
<v Speaker 3>are doing, but I'm old.

0:21:13.119 --> 0:21:14.160
<v Speaker 2>So what's the difference?

0:21:14.359 --> 0:21:22.120
<v Speaker 1>Right? So, for sure, and wet it's been on sale,

0:21:22.160 --> 0:21:24.119
<v Speaker 1>should we expect continued weakness in that market?

0:21:25.000 --> 0:21:29.760
<v Speaker 2>So you've got probably not right now.

0:21:29.800 --> 0:21:31.560
<v Speaker 3>I don't expect it to run away from this, but

0:21:31.640 --> 0:21:34.240
<v Speaker 3>you've got some challenges with the winter wheat crop here

0:21:34.280 --> 0:21:38.119
<v Speaker 3>in the United States, but which is not abnormal, you know,

0:21:38.320 --> 0:21:44.120
<v Speaker 3>And from the February weather numbers showed that the winter

0:21:44.160 --> 0:21:47.080
<v Speaker 3>week country was still in drought and over fifty percent

0:21:47.119 --> 0:21:49.520
<v Speaker 3>of the of the US crop is is winter week

0:21:50.440 --> 0:21:53.160
<v Speaker 3>and so is it dire? No?

0:21:53.400 --> 0:21:56.040
<v Speaker 2>But is it? Uh? You know, we've been in whek.

0:21:56.080 --> 0:21:59.280
<v Speaker 3>This will be the third consecutive winter that winter wheat's

0:21:59.320 --> 0:22:02.840
<v Speaker 3>been in a drought, and it'll be the and it's

0:22:02.880 --> 0:22:05.280
<v Speaker 3>not as bad as the prior to winters. So I

0:22:05.320 --> 0:22:07.440
<v Speaker 3>think what we're going to see is very similar supplies

0:22:07.480 --> 0:22:11.400
<v Speaker 3>and similar prices. Now will if we do if those

0:22:11.600 --> 0:22:17.639
<v Speaker 3>corn and soybean crops perform this summer. Uh, then that

0:22:17.680 --> 0:22:20.840
<v Speaker 3>could pull wheat down into twenty five some and it could,

0:22:21.119 --> 0:22:24.080
<v Speaker 3>but then eventually it might also encourage some acreage. So

0:22:25.200 --> 0:22:27.960
<v Speaker 3>we'llhaps see, you know, if we're going to see weakness,

0:22:29.200 --> 0:22:31.080
<v Speaker 3>maybe we see if we get if we get a

0:22:31.119 --> 0:22:35.560
<v Speaker 3>bumper spring wheat crop, and that's that's more important for

0:22:35.600 --> 0:22:38.920
<v Speaker 3>the restaurant industry because that's your higher protein weeks. That's

0:22:38.920 --> 0:22:42.240
<v Speaker 3>your Durham wheat. That's your hard red spring wheat, Durham

0:22:42.240 --> 0:22:46.920
<v Speaker 3>wheat going into pasta's hard red spring going into typically bagels,

0:22:47.240 --> 0:22:49.920
<v Speaker 3>pizza doughs, et cetera. I mean, maybe if we get

0:22:49.920 --> 0:22:53.200
<v Speaker 3>a bumper, but there is drought developing in the northern

0:22:53.240 --> 0:22:55.600
<v Speaker 3>plains typically where those crops are.

0:22:57.160 --> 0:22:57.720
<v Speaker 2>Make a home.

0:22:58.560 --> 0:23:03.000
<v Speaker 1>Okay, but it seems like generally good news for the

0:23:03.000 --> 0:23:06.600
<v Speaker 1>pizza chains. The last couple of points, you know, between

0:23:06.680 --> 0:23:08.840
<v Speaker 1>cheese and wheat.

0:23:08.960 --> 0:23:12.720
<v Speaker 3>Yeah, I will say this about cheese. The risk in

0:23:12.760 --> 0:23:15.840
<v Speaker 3>the cheese markets is likely not to the downside from here,

0:23:16.240 --> 0:23:19.480
<v Speaker 3>God right, And look, I would say the cure for

0:23:19.520 --> 0:23:23.120
<v Speaker 3>low prices is always low prices, just like the cure

0:23:23.160 --> 0:23:24.200
<v Speaker 3>for high high prices.

0:23:24.240 --> 0:23:25.120
<v Speaker 2>So so.

0:23:28.520 --> 0:23:33.240
<v Speaker 3>I would be surprised if cheese prices aren't higher later

0:23:33.359 --> 0:23:35.120
<v Speaker 3>this year or twenty twenty five.

0:23:36.040 --> 0:23:39.879
<v Speaker 1>Gotcha, Okay, And just to kind of put a wrap

0:23:39.920 --> 0:23:43.399
<v Speaker 1>a bow around you know, this whole segment. What about

0:23:43.400 --> 0:23:45.919
<v Speaker 1>the other input costs like distribution and labor.

0:23:46.520 --> 0:23:51.479
<v Speaker 3>Yeah, so, so you know, I model a commodity index

0:23:51.600 --> 0:23:53.920
<v Speaker 3>generally for the industry, and then I kind of break

0:23:53.960 --> 0:23:57.320
<v Speaker 3>that out and actually can break it out per brand

0:23:57.400 --> 0:24:02.840
<v Speaker 3>if that brand is interested. That commodity index has been

0:24:02.880 --> 0:24:08.280
<v Speaker 3>tracking below prior year now for several months, but it

0:24:08.359 --> 0:24:11.840
<v Speaker 3>is on the rise, and it is expected to climb

0:24:11.920 --> 0:24:15.720
<v Speaker 3>above prior year next month at least per my forecast,

0:24:15.800 --> 0:24:17.720
<v Speaker 3>and then trend above it pretty much for most of

0:24:17.760 --> 0:24:20.560
<v Speaker 3>the rest of the year. Not to be over alarming,

0:24:20.560 --> 0:24:23.320
<v Speaker 3>we have some pretty good comps compared to last year,

0:24:23.400 --> 0:24:28.040
<v Speaker 3>so but it is projected climb above prior year. But

0:24:28.160 --> 0:24:32.440
<v Speaker 3>even with those lower input costs as a whole, obviously,

0:24:32.480 --> 0:24:35.880
<v Speaker 3>beef is higher right right now, Chicken is higher than.

0:24:35.800 --> 0:24:36.479
<v Speaker 2>A year ago.

0:24:37.280 --> 0:24:40.480
<v Speaker 3>But even with these lower input costs, there's still a

0:24:40.520 --> 0:24:43.680
<v Speaker 3>lot of cost within the supply chain that are going up.

0:24:44.720 --> 0:24:48.040
<v Speaker 3>First and foremost is distribution capacity. And we talked about

0:24:48.040 --> 0:24:50.200
<v Speaker 3>that when I interviewed you right on farm to fork

0:24:51.080 --> 0:24:57.800
<v Speaker 3>distribution capacity is tight, very tight. You know, prior to five, six,

0:24:57.920 --> 0:25:04.080
<v Speaker 3>seven years ago, distribution capacity was much better compared to

0:25:04.200 --> 0:25:09.119
<v Speaker 3>the number of restaurants. And what the restaurant industry did, uh,

0:25:09.200 --> 0:25:11.119
<v Speaker 3>and and they're paying the price for it now is

0:25:11.160 --> 0:25:14.600
<v Speaker 3>a lot of them they could find margin or savings

0:25:14.640 --> 0:25:19.520
<v Speaker 3>by doing an RFP on distribution and switching and really

0:25:19.600 --> 0:25:24.439
<v Speaker 3>kind of hammering these these distributors. Not saying everybody did it,

0:25:24.440 --> 0:25:28.560
<v Speaker 3>but a lot of people did. Right now that situations

0:25:28.600 --> 0:25:31.320
<v Speaker 3>kind of flipped and in some cases we've heard of

0:25:31.400 --> 0:25:38.840
<v Speaker 3>distributors firing restaurants and restaurant chains. Yeah and so, yeah,

0:25:39.240 --> 0:25:46.280
<v Speaker 3>and so the restaurant the distributors rates have gone up

0:25:46.320 --> 0:25:50.000
<v Speaker 3>about thirty percent over the last thirty forty three or

0:25:50.000 --> 0:25:50.600
<v Speaker 3>four years.

0:25:50.920 --> 0:25:52.439
<v Speaker 2>So that's a cost that's added to it.

0:25:52.480 --> 0:25:56.280
<v Speaker 3>And let's face it, they have rising costs too, like

0:25:56.440 --> 0:26:02.359
<v Speaker 3>warehousing labor, dry all that labor is way up and

0:26:02.359 --> 0:26:06.359
<v Speaker 3>as a matter of fact, warehousing labor that the supply

0:26:06.480 --> 0:26:13.560
<v Speaker 3>is extremely tight, and warehousing labor is outpacing overall labor

0:26:13.600 --> 0:26:17.160
<v Speaker 3>inflation and any other part in the food service supply chain.

0:26:17.240 --> 0:26:19.120
<v Speaker 2>So they have rising costs too, and you know.

0:26:19.200 --> 0:26:21.280
<v Speaker 1>They're investing in their sales teams too. Yeah.

0:26:21.400 --> 0:26:21.600
<v Speaker 2>Yeah.

0:26:21.600 --> 0:26:24.720
<v Speaker 1>The larger chains that we're covering, Cisco and US Foods, Yeah,

0:26:24.840 --> 0:26:25.440
<v Speaker 1>continue to.

0:26:26.160 --> 0:26:29.919
<v Speaker 3>So there's those costs going up there. Food manufacturing costs

0:26:29.920 --> 0:26:35.040
<v Speaker 3>are up, you have, and obviously labor into food manufacturing

0:26:35.080 --> 0:26:38.800
<v Speaker 3>is going up as well, and that's outpacing overall labor

0:26:38.840 --> 0:26:43.919
<v Speaker 3>inflation too. We've had some freight weakness here in the

0:26:44.000 --> 0:26:48.880
<v Speaker 3>United States, but ocean freight typically what's going on, particularly

0:26:48.880 --> 0:26:52.320
<v Speaker 3>with red Sea et cetera, is up substantially. So there

0:26:52.320 --> 0:26:54.440
<v Speaker 3>are a lot of costs in there that that are

0:26:54.480 --> 0:26:59.119
<v Speaker 3>are impacting the cost of goods for these restaurants. So

0:26:59.200 --> 0:27:01.320
<v Speaker 3>even though the command of these in some cases may

0:27:01.320 --> 0:27:04.560
<v Speaker 3>be down, their product prices are up because of these

0:27:04.600 --> 0:27:05.480
<v Speaker 3>other costs.

0:27:05.920 --> 0:27:10.080
<v Speaker 1>Yeah. Yeah, it's interesting and you know, we spoke on

0:27:10.119 --> 0:27:12.960
<v Speaker 1>your podcast. Is part of the reason why I watched

0:27:13.000 --> 0:27:17.320
<v Speaker 1>gasoline and oil prices so closely. Got to ship this

0:27:17.320 --> 0:27:22.480
<v Speaker 1>stuff all over the country, right, all right? Required compliance

0:27:22.520 --> 0:27:25.560
<v Speaker 1>with the Food Safety Modernization Act Rule two oh four

0:27:25.720 --> 0:27:28.000
<v Speaker 1>will be here before we know it. What is it

0:27:28.119 --> 0:27:30.200
<v Speaker 1>and what does it mean for food service companies?

0:27:30.560 --> 0:27:32.399
<v Speaker 3>Okay, so a lot of people will refer to it

0:27:32.440 --> 0:27:35.560
<v Speaker 3>a THISMA two o four. Like Mike just said, it's

0:27:35.600 --> 0:27:40.920
<v Speaker 3>the Food Safety Modernization Act, and it's Rule two zero four,

0:27:40.960 --> 0:27:45.119
<v Speaker 3>which basically puts the onus on recalls and traceabilities to

0:27:45.240 --> 0:27:50.320
<v Speaker 3>the parties within the supply chain, and that actually went

0:27:50.359 --> 0:27:54.600
<v Speaker 3>into law in January of two thousand and twenty three.

0:27:55.119 --> 0:27:58.280
<v Speaker 3>But there's a grace period until for a three year

0:27:58.359 --> 0:28:02.719
<v Speaker 3>grace period, so really everybody's expected to be to fully

0:28:02.760 --> 0:28:08.200
<v Speaker 3>comply by January twenty twenty six. I think it's January

0:28:08.200 --> 0:28:14.000
<v Speaker 3>twenty if there's a data in there somewhere. So basically, restaurants,

0:28:14.520 --> 0:28:16.800
<v Speaker 3>and again I'm not a full expert in this, but

0:28:16.920 --> 0:28:22.240
<v Speaker 3>restaurants do have some responsibility on their receiving records if

0:28:22.280 --> 0:28:25.560
<v Speaker 3>there is a recall or a whole event that the

0:28:25.680 --> 0:28:28.800
<v Speaker 3>FDA comes calling, and they have to be able to

0:28:28.800 --> 0:28:32.320
<v Speaker 3>produce those records within twenty four hours, which seems kind

0:28:32.320 --> 0:28:33.399
<v Speaker 3>of simple, but it's not.

0:28:35.000 --> 0:28:35.800
<v Speaker 2>The distribution.

0:28:36.200 --> 0:28:41.280
<v Speaker 3>The food manufacturing, distribution restaurant industry as a whole has

0:28:41.320 --> 0:28:45.240
<v Speaker 3>not done a very good job of collaborating.

0:28:46.240 --> 0:28:47.720
<v Speaker 2>With data.

0:28:51.080 --> 0:28:51.560
<v Speaker 1>At all.

0:28:51.880 --> 0:28:56.680
<v Speaker 3>Really, in a way, has driven a lot of inefficiencies

0:28:56.880 --> 0:29:02.360
<v Speaker 3>for the industry, and it has been a major challenge,

0:29:02.400 --> 0:29:07.280
<v Speaker 3>so you know it FISMATUO four.

0:29:08.720 --> 0:29:10.280
<v Speaker 2>My hope is is that.

0:29:10.160 --> 0:29:12.000
<v Speaker 3>It will be kind of tipping point for the industry

0:29:12.080 --> 0:29:13.280
<v Speaker 3>towards more collaboration.

0:29:13.920 --> 0:29:16.480
<v Speaker 2>But I have my doubts because.

0:29:16.760 --> 0:29:19.680
<v Speaker 3>As I mentioned earlier, you know, the distributors really are

0:29:19.760 --> 0:29:22.680
<v Speaker 3>kind of to me that the gatekeeper of all that information.

0:29:23.400 --> 0:29:25.480
<v Speaker 3>Right They're the minimum, They're the ones dealing with the

0:29:25.480 --> 0:29:28.560
<v Speaker 3>food manufacturers, and they're the ones going to the stores.

0:29:28.680 --> 0:29:32.920
<v Speaker 3>They're the one negotiating with the corporate entities. Right now,

0:29:32.920 --> 0:29:36.320
<v Speaker 3>the food distributors have all the leverage in this and

0:29:36.480 --> 0:29:40.040
<v Speaker 3>because distribution capacity is so tight, and probably a lot

0:29:40.080 --> 0:29:43.600
<v Speaker 3>of them or remember pre COVID when they were beat

0:29:43.640 --> 0:29:45.920
<v Speaker 3>up pretty good by a lot of these restaurant companies,

0:29:45.960 --> 0:29:50.400
<v Speaker 3>and you know, the tendency is is maybe to not

0:29:50.520 --> 0:29:53.040
<v Speaker 3>be as friendly back when they have the leverage, right.

0:29:53.160 --> 0:29:58.520
<v Speaker 3>But I think that when push comes to shove, those

0:29:58.600 --> 0:30:03.120
<v Speaker 3>who can think the most strategically and can see the benefits,

0:30:03.480 --> 0:30:06.920
<v Speaker 3>and the benefits really are if that data and collaboration

0:30:07.040 --> 0:30:11.040
<v Speaker 3>can occur throughout the supply chain, which seems extremely simple

0:30:11.080 --> 0:30:15.840
<v Speaker 3>but it's not because the data is really messy, it

0:30:15.880 --> 0:30:19.960
<v Speaker 3>will benefit all parties, whether that is an inventory, whether

0:30:20.000 --> 0:30:23.160
<v Speaker 3>that's the freshness ingredient going to the customer, whether that's

0:30:23.280 --> 0:30:26.760
<v Speaker 3>leaner inventories and fresher turns at the restaurant, whether that's

0:30:26.880 --> 0:30:32.719
<v Speaker 3>leaner inventories, fresher turns and more efficient deliveries for the distributor,

0:30:32.800 --> 0:30:35.960
<v Speaker 3>whether that's better production at the food manufacturer and better

0:30:36.000 --> 0:30:36.840
<v Speaker 3>inventory levels.

0:30:37.000 --> 0:30:38.520
<v Speaker 2>It should benefit all parties.

0:30:39.120 --> 0:30:43.360
<v Speaker 1>Yeah, it's interesting. So I don't know if there's any link,

0:30:43.640 --> 0:30:46.000
<v Speaker 1>but I'm going to ask it anyway. Chick fil A

0:30:46.200 --> 0:30:50.480
<v Speaker 1>and Panero both moved away from serving no antibiotics ever

0:30:50.600 --> 0:30:55.520
<v Speaker 1>chicken to no antibiotics important to human medicine. I don't

0:30:55.560 --> 0:30:58.720
<v Speaker 1>know if that has any link to FISMA, whether it

0:30:58.760 --> 0:31:00.280
<v Speaker 1>does or it doesn't. What do you think is the

0:31:00.320 --> 0:31:02.120
<v Speaker 1>motivation for these moves?

0:31:02.960 --> 0:31:07.960
<v Speaker 3>Well, I think it's really although it sounds again it

0:31:08.120 --> 0:31:12.440
<v Speaker 3>sounds very simple to do no antibiotics or whatever it

0:31:12.520 --> 0:31:12.840
<v Speaker 3>may be.

0:31:13.200 --> 0:31:14.320
<v Speaker 2>Okay, whether that's.

0:31:15.720 --> 0:31:19.560
<v Speaker 3>Grass fed, local, whatever it may be. Right, it sounds

0:31:19.680 --> 0:31:26.640
<v Speaker 3>very simple, but again it's not. And I'll take for example,

0:31:26.800 --> 0:31:30.240
<v Speaker 3>I'll use example of cattle because it's probably the easiest example,

0:31:32.880 --> 0:31:35.640
<v Speaker 3>but even a chicken, we can go there, even a chicken.

0:31:35.720 --> 0:31:38.480
<v Speaker 3>Chick fil A doesn't really well, I don't know for sure,

0:31:38.560 --> 0:31:41.560
<v Speaker 3>but my guess is they don't buy the whole chicken, right.

0:31:42.320 --> 0:31:45.200
<v Speaker 3>They're not in the chicken wing business, right, They're not

0:31:45.360 --> 0:31:49.880
<v Speaker 3>in the chicken thigh business, right. And so they can say, yeah,

0:31:50.160 --> 0:31:54.800
<v Speaker 3>I'm willing to pay extra for ana or never ever,

0:31:55.000 --> 0:31:58.560
<v Speaker 3>whatever it may be, right on the products I buy.

0:31:58.640 --> 0:32:01.760
<v Speaker 3>But then can the manufacture get that value on the

0:32:01.800 --> 0:32:05.440
<v Speaker 3>rest of the products. And historically the answer has been no,

0:32:06.360 --> 0:32:10.280
<v Speaker 3>they really challenge to get it, whether that's chicken, hogs,

0:32:10.920 --> 0:32:15.960
<v Speaker 3>table eggs, whatever it may be. Right now, there is

0:32:16.000 --> 0:32:21.240
<v Speaker 3>some interesting things and I just interviewed Jeff Olmoscato, who's

0:32:21.280 --> 0:32:23.880
<v Speaker 3>the head of supply chain of Shakeshack in which we're

0:32:23.920 --> 0:32:26.760
<v Speaker 3>air in a couple weeks, and he was talking about

0:32:26.760 --> 0:32:31.080
<v Speaker 3>how there's an outfit in San Francisco who is bringing

0:32:31.200 --> 0:32:34.840
<v Speaker 3>restaurants together that can buy different parts of the cow

0:32:35.560 --> 0:32:38.000
<v Speaker 3>so they can fund that. So there are some things

0:32:38.040 --> 0:32:42.480
<v Speaker 3>going on, but it's difficult to do. It's very difficult

0:32:42.560 --> 0:32:47.120
<v Speaker 3>to do. And let's face it, the environment with the

0:32:47.160 --> 0:32:50.400
<v Speaker 3>consumers the consumers to say yes, they want this, but

0:32:50.480 --> 0:32:53.200
<v Speaker 3>the environment from the consumers right now is not very

0:32:53.240 --> 0:32:57.760
<v Speaker 3>favorable towards price increases. Or menu price increases, so you know,

0:32:57.800 --> 0:33:00.240
<v Speaker 3>the consumers say they want this, but they may want it,

0:33:00.280 --> 0:33:01.920
<v Speaker 3>but are they willing to pay for it is a

0:33:01.960 --> 0:33:03.000
<v Speaker 3>totally different question.

0:33:04.040 --> 0:33:08.120
<v Speaker 1>Yeah, that's a great point. And Panera it's interesting especially

0:33:08.120 --> 0:33:10.760
<v Speaker 1>Panera was the first one to mention it because recently

0:33:10.920 --> 0:33:14.840
<v Speaker 1>a survey came out and I think they got more

0:33:14.880 --> 0:33:20.000
<v Speaker 1>credit for their antibiotic free proteins than any other chain

0:33:20.040 --> 0:33:23.840
<v Speaker 1>except for Chipotle if I remember correctly, So they get

0:33:23.840 --> 0:33:26.280
<v Speaker 1>a lot of credit in terms of surveys. But you

0:33:26.280 --> 0:33:29.479
<v Speaker 1>can't always trust surveys. People act one way, and you know,

0:33:29.520 --> 0:33:32.000
<v Speaker 1>say one thing and act in another, and you know,

0:33:32.080 --> 0:33:35.080
<v Speaker 1>and and to your point, you know, people's wallets are

0:33:35.120 --> 0:33:37.880
<v Speaker 1>being pinched. So it's an interesting move saying that they're

0:33:37.880 --> 0:33:41.520
<v Speaker 1>going to cut prices in this environment and increase portions.

0:33:42.080 --> 0:33:44.080
<v Speaker 1>The only one that's mentioned that so far.

0:33:45.000 --> 0:33:47.960
<v Speaker 3>Well, I look, I think that there's no doubt that

0:33:48.680 --> 0:33:52.400
<v Speaker 3>consumers are frustrated with the menu price increases. You hear

0:33:52.440 --> 0:33:56.520
<v Speaker 3>the stories, and now you're starting to hear exaggerated stories, right,

0:33:57.040 --> 0:34:01.120
<v Speaker 3>and that's just not good for the indus. And you know,

0:34:01.200 --> 0:34:04.840
<v Speaker 3>you could make the argument that that there's numerous given

0:34:04.880 --> 0:34:07.800
<v Speaker 3>the tight labor situation, and yes it's better, but it's

0:34:07.800 --> 0:34:10.959
<v Speaker 3>not what it was pre COVID. But you could get

0:34:11.440 --> 0:34:13.880
<v Speaker 3>you could make the argument that given the tight labor

0:34:13.960 --> 0:34:17.160
<v Speaker 3>situation that at we as an industry aren't executing as

0:34:17.160 --> 0:34:19.680
<v Speaker 3>well as we did. So here we are raising prices

0:34:19.719 --> 0:34:23.160
<v Speaker 3>potentially not executing as well. And that's a tough that's

0:34:23.239 --> 0:34:26.280
<v Speaker 3>that's a tough formula for success.

0:34:26.000 --> 0:34:27.879
<v Speaker 1>Right, Yeah, for sure. And you know, to your point,

0:34:27.920 --> 0:34:29.960
<v Speaker 1>it seems like the news stories are accelerating. First, it

0:34:30.000 --> 0:34:32.000
<v Speaker 1>started with the eighteen dollars big macmeal. Then it was

0:34:32.000 --> 0:34:34.640
<v Speaker 1>a twenty three dollars five guys, and now it's like

0:34:34.719 --> 0:34:37.359
<v Speaker 1>almost every day I see one or two stories hitting

0:34:37.360 --> 0:34:40.760
<v Speaker 1>the wire about just people being fed up with price increases.

0:34:40.800 --> 0:34:44.200
<v Speaker 1>So it's going to be very interesting to see how,

0:34:44.360 --> 0:34:46.400
<v Speaker 1>you know, which way, you know, how the low income

0:34:46.440 --> 0:34:51.799
<v Speaker 1>consumer does this year. In your previous answer, you you know,

0:34:51.800 --> 0:34:55.080
<v Speaker 1>we were talking about chicken wings. You mentioned chicken wings,

0:34:55.160 --> 0:34:59.799
<v Speaker 1>and I remembered that I forgot to ask you about

0:34:59.840 --> 0:35:02.680
<v Speaker 1>this earlier. So, yeah, what's going on in the chicken

0:35:02.719 --> 0:35:04.400
<v Speaker 1>wing market versus chicken breast?

0:35:05.120 --> 0:35:09.440
<v Speaker 3>Yeah, so great question. So you know, chicken wings, So

0:35:09.920 --> 0:35:11.920
<v Speaker 3>I mentioned that chicken supplies might be a heck of

0:35:11.920 --> 0:35:15.280
<v Speaker 3>a lot better than this fall than they are today.

0:35:15.320 --> 0:35:17.960
<v Speaker 3>So what happened leading up to today is chicken producer

0:35:18.000 --> 0:35:21.200
<v Speaker 3>margins generally were not very good over the last year

0:35:21.239 --> 0:35:25.719
<v Speaker 3>and a half, particularly let's just say twelve eighteen months ago,

0:35:25.840 --> 0:35:30.040
<v Speaker 3>where chicken prices were very low and you had feed

0:35:30.120 --> 0:35:32.480
<v Speaker 3>prices that were much higher than where we're at today.

0:35:33.239 --> 0:35:35.399
<v Speaker 3>And so what happens is, you know, like I said,

0:35:35.400 --> 0:35:38.800
<v Speaker 3>the cure for low prices is always low prices. Chicken

0:35:38.800 --> 0:35:41.960
<v Speaker 3>producers weren't making any money or we're struggling, and so

0:35:42.000 --> 0:35:45.799
<v Speaker 3>what they do is they tap the brakes on production, right.

0:35:46.320 --> 0:35:47.880
<v Speaker 2>And typically when they tap.

0:35:47.719 --> 0:35:51.640
<v Speaker 3>The brakes on production, in part because chicken wings are

0:35:51.719 --> 0:35:55.000
<v Speaker 3>typically I mean they're sold wholesale by the pound, but

0:35:55.080 --> 0:35:57.080
<v Speaker 3>to the consumer they're typically sold by the.

0:35:57.040 --> 0:36:01.480
<v Speaker 2>Piece, Right, you can see a.

0:36:04.360 --> 0:36:10.200
<v Speaker 3>Rise in chicken wing prices that may outpace the other markets,

0:36:10.239 --> 0:36:12.600
<v Speaker 3>so that might be a small part of it. You

0:36:12.680 --> 0:36:15.919
<v Speaker 3>also see saw very low chicken prices six months ago,

0:36:16.239 --> 0:36:20.600
<v Speaker 3>which has been spurring some significant feature activity bone in.

0:36:21.239 --> 0:36:25.240
<v Speaker 3>Now now we have chicken wing prices at multi year highs.

0:36:25.880 --> 0:36:28.160
<v Speaker 2>Right, And actually the spread.

0:36:27.840 --> 0:36:31.600
<v Speaker 3>Between chicken wings and chicken breast to your question is

0:36:31.800 --> 0:36:34.919
<v Speaker 3>very very high, meaning chicken wings are much much more

0:36:34.960 --> 0:36:39.080
<v Speaker 3>expensive than historically than the boneless skinless chicken breast markets,

0:36:39.239 --> 0:36:43.440
<v Speaker 3>which typically would shift some feature activity into boneless wings.

0:36:43.840 --> 0:36:46.200
<v Speaker 3>And my guess is we'll see that, and you know,

0:36:46.480 --> 0:36:50.120
<v Speaker 3>so the risk likely in the coming months in the

0:36:50.160 --> 0:36:52.359
<v Speaker 3>wing market and seasonally, it's kind of easy to say

0:36:52.360 --> 0:36:54.719
<v Speaker 3>as to the downside, whereas the breast markets likely to

0:36:54.840 --> 0:36:55.560
<v Speaker 3>they upside.

0:36:57.000 --> 0:37:01.759
<v Speaker 1>Interesting. Yeah, So a little side note. I had the

0:37:01.800 --> 0:37:04.120
<v Speaker 1>best wings of my life last week, this little spot

0:37:04.160 --> 0:37:09.080
<v Speaker 1>called Blue forty two in Elmwood Park, New Jersey. Found

0:37:09.080 --> 0:37:11.880
<v Speaker 1>it on Instagram and a cousin and my son and

0:37:11.920 --> 0:37:14.320
<v Speaker 1>I went and they were absolutely phenomenal.

0:37:14.880 --> 0:37:17.000
<v Speaker 2>So are you a bone in or a boneless guy?

0:37:17.680 --> 0:37:18.719
<v Speaker 1>I'm a bone in guy.

0:37:19.000 --> 0:37:19.280
<v Speaker 2>Yeah.

0:37:20.120 --> 0:37:23.319
<v Speaker 1>We went to town Man. We took down like five

0:37:23.400 --> 0:37:25.759
<v Speaker 1>dozen wings between the three of us and they were

0:37:25.760 --> 0:37:29.319
<v Speaker 1>great because we were chrispy, krispy and meaty and all of

0:37:29.320 --> 0:37:33.799
<v Speaker 1>the sauces were awesome. So wow, Blue two listeners live

0:37:33.840 --> 0:37:36.640
<v Speaker 1>in Jersey, I highly recommend Blue forty two.

0:37:37.239 --> 0:37:40.080
<v Speaker 2>All right, they have ip as.

0:37:40.680 --> 0:37:42.600
<v Speaker 1>Yeah, they have a full bar. It's a big Green

0:37:42.640 --> 0:37:43.520
<v Speaker 1>Bay Packers bar.

0:37:43.760 --> 0:37:46.480
<v Speaker 3>During full say, I'll be there Monday, but I'm a

0:37:46.520 --> 0:37:47.200
<v Speaker 3>Steelers fan.

0:37:49.560 --> 0:37:51.680
<v Speaker 1>Well you can go, just don't wear your Steelers gear,

0:37:51.760 --> 0:37:55.800
<v Speaker 1>you know, right, right right, David, Thanks that was awesome.

0:37:55.920 --> 0:37:58.640
<v Speaker 1>I'm actually really looking forward to listening to this again

0:37:59.080 --> 0:38:03.640
<v Speaker 1>with a pen and notepad, because you know, there's so

0:38:03.760 --> 0:38:06.360
<v Speaker 1>much good stuff you shared. Where can the audience go

0:38:06.400 --> 0:38:11.719
<v Speaker 1>to find out more about datam fs and where can

0:38:11.719 --> 0:38:13.560
<v Speaker 1>they listen to the form to fork podcasts?

0:38:13.920 --> 0:38:17.040
<v Speaker 3>Yeah, sure, so I'll start the easier Well, they're both easy.

0:38:17.280 --> 0:38:20.520
<v Speaker 3>Farm to fork farm to Fork. The Innovator's podcast is

0:38:20.719 --> 0:38:23.480
<v Speaker 3>on all your favorite players. It also has a LinkedIn

0:38:23.560 --> 0:38:28.320
<v Speaker 3>page which you can search as far as myself and

0:38:28.440 --> 0:38:31.040
<v Speaker 3>datam fs. I'm also on LinkedIn, as is datam fs,

0:38:31.040 --> 0:38:33.680
<v Speaker 3>and our website is datum d A t U M

0:38:34.280 --> 0:38:37.840
<v Speaker 3>F S F as in food s as in service

0:38:37.920 --> 0:38:39.680
<v Speaker 3>dot com.

0:38:39.719 --> 0:38:43.960
<v Speaker 1>Great man, and I highly recommend you following David on LinkedIn.

0:38:45.160 --> 0:38:49.480
<v Speaker 1>You know I subscribe to your weekly newsletter, which is fantastic.

0:38:49.800 --> 0:38:51.640
<v Speaker 1>Thank you. I also want to thank the audience for

0:38:51.680 --> 0:38:54.600
<v Speaker 1>tuning in. If you like the episode, please leave us

0:38:54.600 --> 0:38:56.960
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0:38:57.080 --> 0:39:01.520
<v Speaker 1>Next week we'll have a conversation with Joe rankin a

0:39:01.680 --> 0:39:04.439
<v Speaker 1>CEO of Pinstripe, so make sure to check back

0:39:06.320 --> 0:39:09.200
<v Speaker 3>M hm hm hm