Problems › Where Should We Invest Next? › Logistics & Supply Chain
Capital allocation goes wrong when dedicated freight gets funded to hold drivers while spot loads with higher revenue per mile stay under capacity. 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.
Capital allocation goes wrong when dedicated freight gets funded to hold drivers while spot loads with higher revenue per mile stay under capacity. 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.
Freight companies allocate by renewing the dedicated contracts that came in last year and by the sales team that brings the largest volume commitments, neither of which shows where adding a truck or lane produces the highest revenue per loaded mile after deadhead.
The ranking compares each opportunity on revenue per loaded mile net of the driver turnover it creates or avoids, and on how long that margin holds before rates shift or the shipper moves the freight. A dedicated lane that lowers turnover but raises deadhead is not the same as a spot network that keeps loads balanced for longer.
The result is an ordered list of where to put the next driver or truck, with a clear test—such as operating ratio on that segment—that stops the sequence when the next move no longer improves return.
These three together are the signature. One on its own usually points somewhere else.
✓ The operating ratio target is met by carrying forward the same dedicated percentage as last year without checking current revenue per mile on those lanes.
✓ No one can list the available loads or lanes by their contribution after driver turnover cost and deadhead.
✓ Requests for more trucks are justified by customer commitments rather than by measured load factor or revenue per mile on the incremental equipment.
The move that usually makes it worse. Adding capacity across both dedicated and spot to satisfy every sales lead, which leaves the network with higher deadhead and no improvement in overall operating ratio.
It is for you if you run or finance a freight company and budgets are set by last year plus a percentage. 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. Reprice 3-year dedicated renewals by 4-6% and retain 44%-turnover drivers to lift $82M book margin by $3.3M.
The leak it closes. $1.3M annual driver-replacement cost reduced by retaining 120 drivers at 44% turnover
The assumption it rests on. 12 of 14 renewing contracts accept 4-6% rate increase — the engine put the probability at 0.75.
| Investment required | $0.8-1.2M annual retention bonus pool (within $18M 3-year capacity) |
| Expected return | 275-413% annual ROI on $0.8-1.2M retention spend |
| Revenue, year 1 | $83.6M dedicated revenue (+$1.6M from 2% blended rate increase on 50% of book) |
| Revenue, year 2 | $85.3M dedicated revenue (+$3.3M from 4% rate increase on 75% of book) |
| Revenue, year 3 | $87.1M dedicated revenue (+$5.1M from 6% rate increase on 100% of book) |
| Exit criteria | Exit this move if fewer than 8 of 14 contracts renew at ≥3% premium by Month 18, OR if driver turnover rises above 55% by Month 12; reallocate retention bonus pool to LTL driver wage increases |
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.
Price the durability explicitly. A return that decays needs a stated half-life; once each option carries one, options with different horizons become comparable rather than a matter of taste.
Usually the strongest, because that is where a marginal dollar compounds. Fixing the weakest is worth doing when it is a constraint on the strongest, and not otherwise.
Then decide on reversibility. When two options return similarly, take the one you can stop, because the value of the information you buy exceeds the difference in the estimates.
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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