Problems › What Should We Do Next Quarter? › Logistics & Supply Chain
Most quarterly plans fail on capacity arithmetic rather than on choice of priorities. This page works through it for logistics and freight companies specifically — including an unedited excerpt from a real analysis of a freight company.
Most quarterly plans fail on capacity arithmetic rather than on choice of priorities. What makes this harder for logistics and freight companies is structural: dedicated freight dilutes margin and is also the only thing that fixes driver turnover. Any credible answer therefore has to hold revenue per loaded mile and driver turnover in the same view, which is exactly where most internal analysis stops because the two live in different systems.
A quarter contains a fixed amount of management attention and a fixed amount of cash, and most plans commit more of both than exist. The result is not failure but silent triage: the organisation does the subset it can and nobody records which parts were dropped.
A plan that survives contact ranks candidate moves by return, checks each against the capacity actually available, and sequences them so the first funds or unblocks the second. Three real priorities beat twelve stated ones every time.
The part almost always missing is the stopping rule — the observation that would say a chosen move is not working, defined before it starts rather than argued about afterwards.
These three together are the signature. One on its own usually points somewhere else.
✓ Last quarter's plan was partly done and nobody formally dropped anything
✓ Priorities are listed but not ranked
✓ No initiative has a written failure condition
The move that usually makes it worse. Committing to everything that seems important, which guarantees the organisation chooses for you and chooses by convenience.
It is for you if you run or finance a freight company and last quarter's plan was partly done and nobody formally dropped anything. 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 proven 44% driver turnover into uncontested 8% margin temperature-controlled capacity without new tractor capex.
The leak it closes. Reduces 61% customer concentration risk by adding 2-3 new reefer accounts representing $12-18M revenue
The assumption it rests on. Regional food/pharma shippers will award 2-3 reefer contracts ≥$5M each within 24 months — the engine put the probability at 0.7.
| Investment required | $3-5M over 36 months ($1.0-1.5M Year 1 deposits, $1.2-1.8M Year 2 lease payments, $0.8-1.2M Year 3 maintenance/wash facilities) |
| Expected return | Base case 28-36% IRR on $4M investment; payback 22-26 months at $12-18M incremental revenue and 8% margin |
| Revenue, year 1 | $2-4M (2-3 pilot contracts, 50 reefers at 60% utilization) |
| Revenue, year 2 | $6-9M (5-7 contracts, 65 reefers at 70% utilization) |
| Revenue, year 3 | $12-18M (8-12 contracts, 75 reefers at 75% utilization) |
| Exit criteria | Terminate reefer program if utilization <65% for two consecutive quarters OR if reefer segment operating ratio exceeds 96.0 for 6 months; re-deploy tractors to dry-van dedicated and return reefers to lessor at Month 24 with no penalty |
This is one move out of a full analysis. Read a complete report — every page, no email required.
This question routes to Growth Portfolio Framework, 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.
As many as your real capacity supports, which in most small and mid-sized businesses is two or three. The number is arithmetic, not philosophy.
Rank by return on the capacity each consumes, then by reversibility. When two are close, do the one you can stop.
That is what the stopping rules are for. A plan with pre-agreed failure conditions can be changed on evidence rather than on argument, which is the difference between adapting and drifting.
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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