The Lanes You Think Are Profitable

A carrier looks at its book of business and identifies the good freight. It usually pays well per mile, comes from a customer who is easy to work with, and has been running for a while.

Then someone does the arithmetic properly and the ranking changes.

What gets left out

Deadhead to origin. Miles run empty to reach the pickup. In the TMS these often sit outside the load’s economics entirely, which means a lane requiring a hundred empty miles looks identical to one that starts where the last load ended.

What the truck does next. A lane that delivers into an area with no outbound freight strands equipment. Either you run empty to reposition or you wait. Both cost, and neither appears in the lane’s numbers.

Detention actually incurred. Not detention billed. A shipper who consistently holds trucks three hours costs driver time and downstream schedule, and much of it is never recovered.

Driver preference and turnover. Lanes drivers dislike have a cost that shows up months later in recruiting. It is real and almost nobody attributes it to the lane that caused it.

Equipment wear by route. Terrain, weather, road quality and stop frequency all affect maintenance intervals. Two lanes with identical mileage do not wear equipment identically.

Seasonal variation. A lane averaged across a year hides that it is excellent in one season and marginal in another.

None of these are exotic. They are simply spread across the TMS, fuel cards, maintenance records, payroll and someone’s understanding of which customers are difficult.

Why the data does not come together

The information exists. It lives in different places with different keys.

The TMS knows loads and rates. Fuel data is with the card provider. Maintenance is in a separate system or on paper. Driver hours come from the ELD. Detention lives in notes and disputed invoices.

Joining these requires a common identifier that usually does not exist, which is why the analysis gets done occasionally by hand rather than continuously.

What continuous visibility changes

Operations that build this generally find a version of the same three things.

Some good-looking freight is not. A high-rate lane that requires substantial deadhead and strands equipment can net worse than lower-rate freight in a dense area with easy repositioning.

Some customers are expensive. Not because of the rate, because of how they operate. Consistent detention, appointment rescheduling, difficult receiving. When that cost is attributed, the account looks different, and the conversation with that customer becomes possible.

The round trip is the unit that matters. This is usually the most useful shift. Evaluating what the truck earns over a complete cycle, including how it got positioned and what it did after, produces different decisions than evaluating loads individually.

Building it in the right order

Establish the round trip as the unit. Group loads into cycles from origin to next loaded origin. This alone changes the picture before any cost allocation.

Allocate the obvious costs. Fuel by actual route, driver pay by actual time including detention, tolls and permits. This covers most of the variance.

Add the harder ones with estimates. Maintenance per mile by equipment class and route type does not need precision to be useful. A reasonable estimate applied consistently beats leaving it out.

Then look at customer-level patterns. Detention frequency, appointment reliability, payment terms in practice rather than on paper.

Each step improves the picture without requiring the next, which matters because the last step is the hardest and the first delivers most of the insight.

The decisions this supports

Which freight to renew and at what rate, with evidence rather than impression. Which customers to have a conversation with about how they operate. Where to concentrate capacity geographically. Which lanes to walk away from, which is the hardest decision and the one most often deferred because the data was ambiguous.

An afternoon that will tell you a lot

Pick twenty round trips from last quarter, spread across your main customers.

Reconstruct each one manually: empty miles in, loaded revenue, fuel, driver time including detention, and what the truck did next.

The ranking will surprise you somewhere, and the surprise is what justifies building the continuous version. Do the manual exercise first. It costs an afternoon and it prevents building a system to answer a question you have not confirmed matters.

If you are pricing freight on revenue per mile and suspect that is not the whole picture, get in touch. We build profitability visibility for carriers from the systems already in place.