Busy But Not Profitable
in Logistics & Supply Chain

The short answer

Full utilization and thin margins is a contract mix and pricing problem wearing an operations costume. For logistics and freight companies, this shows up in a particular place. The numbers that carry the answer are revenue per loaded mile and driver turnover, and the complication specific to this industry is that dedicated freight dilutes margin and is also the only thing that fixes driver turnover. The general version of this problem and the one you are actually in have different first moves.

When a freight operation runs at high load factor and still shows weak cash, the instinct is to chase more miles or cut deadhead. Usually some deadhead can be trimmed, yet trimming it will not fix the result because the cause sits upstream: the dedicated contracts being accepted are not priced for the driver time, turnover, and empty miles they actually create.

The pattern is consistent. A few spot lanes or contract segments deliver strong revenue per loaded mile. Dedicated freight keeps the fleet full and holds driver turnover down, yet returns little once all costs are counted, so the operation feels busy and the operating ratio disagrees. Because the dedicated work occupies capacity, the higher-contributing spot freight cannot expand; the constraint is not lack of loads, it is that the constraint is already full of the wrong freight.

The fix is a selection rule, not a productivity programme. Once contracts and lanes can be ranked by contribution after revenue per mile, deadhead, and driver turnover, most of the decision makes itself.

Logistics operators reach this point with every truck assigned and cash tight: dedicated contracts suppress turnover but crowd out spot loads that would improve operating ratio, and nobody can state which contract type actually covers the cost of a driver. There is no separate industry solution until the contract mix itself is ranked; the bind is still the selection rule, not added capacity.

How to tell this is actually your problem

These three together are the signature. One on its own usually points somewhere else.

✓ Every truck and driver is assigned yet the operating ratio stays above target
✓ You cannot name which contracts or lanes produced positive contribution last period without a special pull on revenue per loaded mile and turnover data
✓ Turning down dedicated freight feels impossible even when the numbers show it adds deadhead and turnover cost

The move that usually makes it worse. Adding drivers or trucks to relieve the pressure, which expands capacity for the same low-contribution dedicated work and moves the problem one size larger.

Who this is for — and who it is not

It is for you if you run or finance a freight company and everyone is fully occupied and cash is tight. It is the situation where the numbers are available but nobody has put them in an order that produces a decision.

It is not for you if Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.

Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.

What this looks like when the analysis is actually run

Below is an excerpt from a real run of this analysis on a freight company. It is a sample profile rather than a customer, and it is unedited engine output — this is the format you get, on your own numbers.

The subject is Ridgeway Freight Systems, a sample company profile used for testing rather than a customer — $240M revenue, 900 drivers.

This is one move out of a full analysis. Read a complete report — every page, no email required.

What the engine does with this question

This question routes to Proprietary EFF Methodology, one of 29 engagements the platform runs. For logistics and freight companies it works through revenue per loaded mile, driver turnover, deadhead percentage and operating ratio, then produces the sequence rather than a list of options — which move first, what it funds, and the observation that would say the sequence is wrong.

You watch the analysis get built before paying anything. Read a complete report here if you would rather see the depth first.

Questions people ask about this

How do I know which work to stop taking?

Rank by contribution per unit of your real constraint — machine hour, billable hour, delivery slot, square foot. Not by revenue, and not by gross margin percentage, both of which reliably favour the wrong work when the constraint is capacity.

Will turning away work damage the relationship?

Sometimes, and it is usually cheaper than the alternative. In practice a price that reflects what the work consumes either makes the account profitable or moves it to a competitor, and both outcomes are better than the current one.

Is this a pricing problem or an efficiency problem?

Test it: if every job ran perfectly with zero waste, would the thin ones make money? If the answer is no, it is pricing and selection, and no efficiency programme will reach it.

Is this different in logistics & supply chain than in other industries?

Materially, yes. Dedicated freight dilutes margin and is also the only thing that fixes driver turnover — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are revenue per loaded mile, driver turnover, deadhead percentage, and an answer built on industry-general benchmarks will usually point at the wrong one first.

What data do I need before this analysis is worth running for a freight company?

Less than most people expect. Your last twelve months of revenue and cost split the way you already split it, plus whatever you hold on revenue per loaded mile and driver turnover. The analysis is explicit about what it is assuming where your data stops, which is more useful than waiting for numbers you may never have.

When is Percision the wrong tool?

Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.

Does Percision replace a lawyer, tax advisor, auditor, or AI implementation team?

Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.