Problems › Busy But Not Profitable › Logistics & Supply Chain
Full capacity and thin profit is a pricing and selection problem wearing an operations costume. This page works through it for logistics and freight companies specifically — including an unedited excerpt from a real analysis of a freight company.
Full capacity and thin profit is a pricing and selection 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 business is at capacity and still not making money, the instinct is to look for waste. Usually there is some, and removing it will not fix this, because the cause is upstream: the work being accepted is not priced for what it actually consumes.
The pattern is consistent. A few accounts or jobs earn well. A long tail earns nothing but keeps everyone occupied, so the business feels healthy and the bank balance disagrees. Because the tail absorbs the capacity, the profitable work cannot expand — the constraint is not demand, it is that the constraint is already full of the wrong work.
The fix is a selection rule, not a productivity programme. Once you can rank work by contribution, most of the decision makes itself.
Home-services operators — HVAC, plumbing, electrical, landscaping, cleaning — hit this as a full calendar and a thin bank account: emergency jobs displace quoted work, and nobody can say which job type pays for the truck. There is no home-services industry hub until a profile and a run exist; the bind is still this page, not a twelfth grid.
These three together are the signature. One on its own usually points somewhere else.
✓ Everyone is fully occupied and cash is tight
✓ You cannot say which jobs or accounts made money last year without a special analysis
✓ Turning work away feels impossible even when it is unprofitable
The move that usually makes it worse. Hiring to relieve the pressure, which expands capacity for unprofitable work and moves the problem one size larger.
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.
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.
Excerpt from a real Percision run · Competitive Positioning · sample company profile
The move. Leverage paid-for terminal density to raise pricing on 50 lanes and reinvest the gains into driver retention, creating a self-funding margin-expansion flywheel.
| Investment required | $0.6–0.9M over 36 months (pricing engine + retention bonuses) |
| Expected return | Base case: $4.2–6.3M incremental annual revenue at 85%+ incremental margin, yielding 7–10× ROI on the $0.9M investment within 24 months. |
| Revenue, year 1 | $289–293M |
| Revenue, year 2 | $298–306M |
| Revenue, year 3 | $310–320M |
| Exit criteria | Strategy should be reversed if, within 12 months, net revenue per hundredweight on the 50 lanes has not increased by at least 2% OR if driver turnover has not declined below 75% by Month 18, OR if one of the two $25M dedicated contracts is lost at renewal without a 1%+ rate increase. |
This is one move out of a full analysis. Read a complete report — every page, no email required.
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.
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.
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.
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.
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.
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.
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.
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