Problems › The Team Is Not Executing the Plan › Logistics & Supply Chain
When a good plan is not being executed, the usual cause is that the organisation is rationally doing something else. This page works through it for logistics and freight companies specifically — including an unedited excerpt from a real analysis of a freight company.
When a good plan is not being executed, the usual cause is that the organisation is rationally doing something else. 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.
Execution failure is rarely unwillingness. It is normally that the plan asks for behaviour the structure, the incentives or the capacity actively discourage — and people resolve that conflict the way the system pays them to.
The diagnostic question is not "why is nobody doing this" but "what is the person being asked to give up, and who compensates them for it". A plan that requires a team to sacrifice their own numbers for someone else's will not run, however well communicated.
The second common cause is arithmetic: the plan requires more capacity than exists, and rather than saying so, the organisation quietly does the subset it can and the rest simply never happens.
These three together are the signature. One on its own usually points somewhere else.
✓ The plan is understood and agreed and still nothing changes
✓ Progress is reported as activity rather than as outcome
✓ The people asked to change are measured on something the change hurts
The move that usually makes it worse. Communicating harder, which addresses a comprehension problem that does not exist and delays finding the incentive that does.
It is for you if you run or finance a freight company and the plan is understood and agreed and still nothing changes. 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 · Customer Value Architecture · 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 Organizational Alignment Model, 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.
Change what people are measured on before asking them to behave differently. Buy-in follows the incentive far more reliably than it follows the explanation.
Occasionally. Far more often it is a structure problem that looks like a people problem, which is worth testing first because replacing people does not fix a structure and is expensive to discover.
Usually yes, but for capacity reasons rather than comprehension. A plan with three priorities that fit the capacity available beats one with twelve that do not.
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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