Industries › Logistics & Supply Chain
The questions logistics and freight companies actually ask, answered against the numbers that decide them — with unedited excerpts from real analyses.
The bind specific to this industry is that dedicated freight dilutes margin and is also the only thing that fixes driver turnover. Almost every strategic question in logistics and freight companies runs into it eventually, which is why answers borrowed from other sectors tend to point at the wrong lever first.
The numbers that carry most decisions here are revenue per loaded mile, driver turnover, deadhead percentage, operating ratio. Analysis that starts from revenue and works down rarely reaches them; analysis that starts from them usually settles the question in one pass.
This is unedited output from a completed run on Ridgeway Freight Systems — $240M revenue, 900 drivers — a sample profile used for testing rather than a customer.
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 · Quick Market Scan · sample company profile
The move. Leverage paid-for terminal density to raise pricing on 50 lanes and reinvest the gains into driver retention, creating a self-funding margin-expansion flywheel.
| Investment required | $0.6–0.9M over 36 months (pricing engine + retention bonuses) |
| Expected return | Base case: $4.2–6.3M incremental annual revenue at 85%+ incremental margin, yielding 7–10× ROI on the $0.9M investment within 24 months. |
| Revenue, year 1 | $289–293M |
| Revenue, year 2 | $298–306M |
| Revenue, year 3 | $310–320M |
| Exit criteria | Strategy should be reversed if, within 12 months, net revenue per hundredweight on the 50 lanes has not increased by at least 2% OR if driver turnover has not declined below 75% by Month 18, OR if one of the two $25M dedicated contracts is lost at renewal without a 1%+ rate increase. |
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The engine runs the same structured method on any business, and what changes by industry is which numbers it asks for and which framework it routes to. For logistics and freight companies that means revenue per loaded mile, driver turnover, deadhead percentage rather than generic benchmarks. Every page in this section carries an excerpt from a completed run so you can judge the depth before spending anything.
Between seven and fifteen minutes for the run itself. You watch it being built, and you see the full output before there is any payment.
It states its assumptions where your data stops rather than refusing to proceed, and it marks which conclusions depend on them. That is more useful than waiting for a dataset you may never assemble.
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