Problems › Growing But Losing Money › Logistics & Supply Chain
Growth that consumes cash is either an investment or a leak, and the arithmetic tells you which within one page. This page works through it for logistics and freight companies specifically — including an unedited excerpt from a real analysis of a freight company.
Growth that consumes cash is either an investment or a leak, and the arithmetic tells you which within one page. Logistics and freight companies carry a specific bind here — dedicated freight dilutes margin and is also the only thing that fixes driver turnover. Until that is priced, revenue per loaded mile will keep moving for reasons nobody can attribute, and the debate about contribution margin will stay a matter of opinion.
Growing while losing money is normal if each new customer eventually pays back more than they cost. It is fatal if they do not, and the two look identical for as long as growth continues — which is why the failure is usually discovered at the point where growth stops.
The test is per-unit and it is simple: what does one more customer cost to acquire and serve, what do they return, and over what period. If that is positive and the loss is fixed-cost absorption, growth solves it. If it is negative, growth accelerates the problem and every additional sale makes the position worse.
The second thing to check is working capital. A business can be profitable per unit and still run out of cash because the money goes out months before it comes in — and the faster it grows, the wider that gap becomes.
These three together are the signature. One on its own usually points somewhere else.
✓ Revenue rises, cash falls, and the two are explained separately
✓ Nobody can state contribution margin per customer without a project
✓ Funding requirements keep arriving earlier than forecast
The move that usually makes it worse. Treating the loss as a scale problem when the unit economics are negative, which turns a fixable model into a larger one.
It is for you if you run or finance a freight company and revenue rises, cash falls, and the two are explained separately. 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 · Pricing Strategy · sample company profile
The move. Convert 3-year dedicated customers into hybrid LTL lanes that stack 52-month durability and deliver $22M incremental operating income.
The leak it closes. Plugs $2.9M annual empty-mile cost drag by converting 5.5 percentage points of empty miles into loaded hybrid revenue
The assumption it rests on. Dedicated customers accept hybrid LTL lanes at 70% probability — the engine put the probability at 0.7.
| Investment required | $1.4–1.8M total ($450K software + $350K training + $600–1M salesperson SPIFFs) |
| Expected return | 12.2–15.7× on $1.6M base investment ($22M upside / $1.6M cost) |
| Revenue, year 1 | $4.2M incremental operating income (10 hybrid lanes × $420K avg contribution) |
| Revenue, year 2 | $11.0M incremental (25 lanes) |
| Revenue, year 3 | $22.0M incremental (40 lanes) |
| Exit criteria | Terminate hybrid program if <40% dedicated customer conversion by Month 12 or if hybrid lanes show negative operating income contribution by Month 18 |
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.
Yes when the loss is fixed cost being absorbed and unit economics are positive. No when each additional customer loses money, which is a different situation wearing the same clothes.
Project the current unit economics at the volume you expect and see whether the line crosses. If it does not cross at a volume you can plausibly reach, growth is not the answer.
If unit economics are negative, yes and immediately. If they are positive and the constraint is working capital, the problem is financing rather than strategy and should be solved as such.
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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