The blue light of the monitor is the only thing keeping the room from dissolving into the Sunday night humidity, and I am dragging a digital rectangle across a heat map of the Midwest at exactly 8:46 PM. It is a ritual of high-stakes guessing. My coffee has reached that specific temperature where it no longer tastes like a beverage and starts tasting like a bad decision made in a ceramic mug. On the screen, three partial certainties and one hopeful email from a broker in Dubuque are supposed to form the backbone of next week’s revenue. We call this lane planning. We speak about it in boardrooms with a level of gravity usually reserved for neurosurgery or international peace treaties, but let’s be honest: we are mostly just rearranging the deck chairs on a ship that is currently being tossed by a market that doesn’t care about our pivot tables.

There is a peculiar kind of arrogance in thinking that a grid of cells and some conditional formatting can tame the chaos of 56,000 pounds of freight moving across 1,356 miles of asphalt. We project confidence because the alternative-admitting that we are at the mercy of a broken radiator in Topeka or a sudden warehouse strike in Scranton-is too terrifying for the quarterly reports. I remember yawning during an important conversation about ‘predictive modeling’ last Tuesday at 2:06 PM. The consultant was showing me a graph that looked like a staircase to heaven, all smooth lines and upward trajectories. I couldn’t help it. The yawn just ripped through me because I knew that the graph didn’t account for the 16 hours a driver might spend stuck at a receiver because the yard dog called in sick.

Owen B., a quality control taster I knew back when I dabbled in the industrial flavor industry, used to say that you can’t trust a recipe that doesn’t account for the humidity in the room. Owen B. had this uncanny ability to taste a batch of strawberry concentrate and tell you exactly which valve in the processing plant was starting to leak lead. He was the human sensor in a world of automated sensors. Lane planning needs an Owen B. It needs someone who looks at a ‘profitable’ lane and smells the inevitable deadhead that’s going to happen when the return load cancels at 4:56 PM on a Friday. We ignore the ‘Owen B. factor’ because it’s hard to quantify. You can’t put a ‘vibe’ into a cell in Excel without the software throwing a #VALUE error.

planning just helps you lose money more knowingly

❝

The Illusion of Control

I’ve spent 26 years watching people try to outrun volatility with better software. The misconception is that a well-planned lane defeats uncertainty. In reality, a plan just provides a baseline for your disappointment. It allows you to see exactly how much money you are losing when the market shifts 6% against you overnight. There is a certain grim satisfaction in knowing exactly why you are broke. It’s the difference between falling off a cliff in the dark and jumping off one with a flashlight. The outcome is the same, but the flashlight makes you feel like you had a choice in the matter.

Think about the ‘hopeful email.’ It’s always the same. ‘Hey, we might have 16 loads a week coming out of Laredo starting next month.’ That ‘might’ is doing a lot of heavy lifting. It’s the structural equivalent of a single toothpick holding up a skyscraper. And yet, we build entire lane strategies around that ‘might.’ We commit assets, we tell drivers they’ll be home for the weekend, and we tell the bank that the 46% increase in overhead is justified. When the loads never materialize, we don’t blame the ‘might.’ We blame the market. It’s a convenient ghost to haunt our failures.

I remember one specific Sunday where I thought I had solved the puzzle. I had a loop that ran from Cincinnati to Memphis to Little Rock and back. It was a beautiful, closed-loop system. On paper, it was generating a profit margin of exactly 16% per mile. I felt like a god of logistics. Then, a driver named Gary hit a deer outside of Jackson at 3:56 AM. The truck was sidelined for 6 days. The Memphis load had to be recovered at a spot rate that was 106% higher than the contract price. The Little Rock shipper got angry and pulled the contract. The beautiful loop collapsed like a house of cards in a wind tunnel. My spreadsheet didn’t have a ‘deer at 4 AM’ variable. It only had ‘optimal’ variables.

This is where the industry’s obsession with logic fails. Freight doesn’t move according to logic; it moves according to the physical reality of human beings operating heavy machinery in a world that is constantly trying to break things. When you realize that a human touch is the only thing that saves a bad Tuesday, you start looking for reliable owner-operator dispatch because they don’t treat the map like a holy relic; they treat it like a shifting landscape that requires constant, messy, human intervention. They know that a spreadsheet is a map, but the map is not the territory.

The territory is wet, loud, expensive, and prone to breaking. We pretend it’s not because we want to sleep at night. We want to believe that if we just analyze enough data points-if we look at the 666 different variables that could affect a lane-we can predict the outcome. But data is just a collection of ghosts. It tells you what happened yesterday, not what is going to happen when a sudden ice storm hits the pass.

I used to have this map in my office, a physical one with pins in it. I liked it because the pins would occasionally fall out. It was an honest map. It admitted that things were temporary. Digital maps don’t do that. They stay perfectly rendered even when the world they are representing is on fire. There is a strange disconnect in looking at a perfectly rendered GPS track of a truck that is currently on fire. The technology is so confident, even when it’s reporting a catastrophe. This is the same confidence we bring to lane planning. We project it to our clients, to our drivers, and most dangerously, to ourselves.

The ‘Owen B. Factor’

Owen B. once sat me down and told me that the most important part of any flavor profile wasn’t the top note-the thing you taste first-but the ‘finish.’ The finish is what lingers after everything else is gone. Most lane planning focuses entirely on the top note: the initial rate, the easy pickup, the clear weather. No one plans for the finish. No one plans for the lingering bitterness of a $676 repair bill or the sour taste of a driver who’s been away from home for 16 days because the ‘optimized’ route kept sending him in the wrong direction. We treat drivers like icons on a screen, ignoring the fact that they are the only reason the screen has any meaning at all.

I think back to that yawn in the meeting. It wasn’t just tiredness. It was a physical rejection of the lie. The consultant was talking about ‘dynamic lane recalibration,’ which is just a fancy way of saying ‘making it up as you go along but with more syllables.’ Why can’t we just admit it? Why can’t we say, ‘We have a pretty good idea of what might happen, but we’re ready to scrap it all when the first tire blows’? That kind of honesty would probably get you fired from a corporate logistics firm, but it’s the only thing that will keep you sane on a Sunday night at 11:56 PM.

We reward people for projecting confidence over systems no one can truly control. If you stand up in a room and say, ‘I don’t know what the market will do in 16 weeks,’ you are seen as weak. If you stand up and give a detailed, 46-page presentation based on complete fabrications and historical anomalies, you are seen as a visionary. We have incentivized the lie. We have built a whole industry on the back of people who are very good at pretending they can see through walls.

Embracing the Chaos

But the walls are still there. And they are thick. The reality of the road is much more interesting than the reality of the spreadsheet anyway. There is a certain beauty in the chaos if you stop trying to strangle it. When you accept that the lane plan is just a suggestion-a polite request made to the universe-you can finally start managing the reality. You stop staring at the heat map and start talking to the people who are actually on the ground. You start valuing the ‘Owen Bs’ of the world who can tell you that the Atlanta market is about to go soft because they can feel the shift in the air, not because a line on a graph told them so.

I’m looking at the screen again. It’s now 12:06 AM. The Dubuque email is still there, sitting in my inbox like a small, digital promise. I could build a whole week around it. I could calculate the fuel, the tolls, the hours of service, and the potential profit down to the last cent. Or I could go to bed, acknowledge that tomorrow will be a series of problems I haven’t even imagined yet, and trust that I’ve got enough sense to handle them as they come. The spreadsheet is still open, but I think I’m going to close it. The map is a lie, but the road is real, and the road doesn’t care about my plan. It only cares if I’m ready to drive.

uncertainty behaves like uncertainty

❝

How much of your day is spent defending a plan you already know is obsolete? We cling to these grids because they make the world feel smaller, more manageable, less like a wild animal that could bite us at any moment. But maybe the biting is the point. Maybe the volatility is where the actual skill lies-not in the planning, but in the recovery. If you can recover 6 times faster than your competitor, it doesn’t matter if your plan was 46% worse. The world belongs to the adaptable, not the organized. . . ‘optimized.’