Problems › Our Sales Cycle Is Too Long › Logistics & Supply Chain
Long cycles here usually trace to the COO or CFO not seeing how the move improves revenue per mile or cuts driver turnover enough to offset the dedicated contract's effect on operating ratio. 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 stage duration will stay a matter of opinion.
Long cycles here usually trace to the COO or CFO not seeing how the move improves revenue per mile or cuts driver turnover enough to offset the dedicated contract's effect on operating ratio. 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 stage duration will stay a matter of opinion.
A cycle stretches when the internal justification stalls at the point where the champion must show that shifting from spot to dedicated freight will lower deadhead percentage without pushing the operating ratio past the target.
Shortening it therefore means supplying the champion with the exact comparison of revenue per loaded mile under the new arrangement against the current mix, plus the projected drop in driver turnover that dedicated lanes deliver.
The other frequent cause is pitching only to a traffic manager who cannot commit the fleet spend. That simply inserts an extra cycle once the numbers reach the CFO.
These three together are the signature. One on its own usually points somewhere else.
✓ Opportunities sit after the dedicated vs spot discussion and never advance to contract.
✓ Projected close dates move whenever the operating ratio or driver turnover figures are requested again.
✓ Lost deals end with the operator staying on the current load factor rather than changing the dedicated allocation.
The move that usually makes it worse. Increasing calls to the champion, which adds pressure without new data on how the change moves revenue per mile or deadhead.
It is for you if you run or finance a freight company and deals consistently stall at the same stage. 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 Go-to-Market & Commercial Strategy, 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.
Find the stage where deals sit longest and work out what the buyer has to do there. It is almost always an internal approval, and the fix is material rather than persuasion.
It compresses the last step and does nothing to the stalls earlier in the cycle, which is where the time actually goes. It also teaches buyers that waiting is rewarded.
No, if the deal size and win rate justify it. It becomes a problem when the cycle is longer than your cash conversion allows, which is a financing constraint rather than a sales one.
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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