Per-load P&L within minutes of delivery, so you see the true margin on every lane before you book the next one.
0
Cost factors tracked
0 min
Per-load P&L after delivery
0%+
Cost capture with full integrations
Typical results; accuracy depends on the integrations you connect.
Lane Margin Ranking
Last 30 days · Net margin per load
CHI → DAL
920 mi
ATL → MIA
665 mi
LAX → PHX
370 mi
DEN → SLC
525 mi
DFW → HOU
240 mi
DFW losing $126/load after full cost allocation. Flagged for rate review.
Fleet profitability software calculates the true profit or loss on every load a carrier hauls by tracking all cost factors and allocating them to individual loads, trucks, and lanes. Unlike standard accounting software that shows total company P&L, profitability analytics breaks margin down to the per-load and per-mile level.
Trucking runs on thin margins. The average carrier nets between 3 and 8 percent after all costs. Most carriers cannot tell you which loads are profitable and which lose money. Revenue is visible; costs are buried across fuel cards, payroll, insurance bills, maintenance invoices, and toll statements. Without a system that ties every dollar of cost to the load that incurred it, fleet managers are working from incomplete data.
Vektor Profit Engine integrates with your existing systems (ELD, fuel cards, payroll, accounting) and automatically allocates 14 cost factors per load. The result: real-time per-load P&L, lane-level margin ranking, and truck-level cost-per-mile that updates with every fuel swipe and toll charge.
Most carriers calculate CPM once per quarter from accounting totals. That number is weeks old and averages over the trucks and lanes bleeding money. Without real-time CPM per asset, every rate negotiation is a guess.
Weeks-old data
Tolls, detention, fuel surcharges, tire wear, maintenance reserves, and deadhead repositioning add up quietly. These costs never appear on a rate confirmation but directly reduce your net margin. Accounting catches them after the damage is done.
Cents per mile slip through untracked
Without lane-level P&L, carriers keep running corridors that lose money, subsidized by profitable ones they should expand. A lane that looks solid on gross revenue may be underwater once deadhead, regional fuel costs, and tolls are factored in.
Some lanes lose money quietly

The data is there. It just needs to be connected.
Fuel, tolls, driver pay, insurance, maintenance, tire wear, permits, detention, lumper fees, deadhead miles, dispatch fees, overhead allocation, depreciation, and financing costs. Vektor pulls 14 cost factors from your existing integrations: fuel cards, ELD, payroll, and accounting. Nothing to enter by hand.
Fixed costs (insurance, truck payments, permits) are allocated per unit automatically. Variable costs (fuel, tolls, tire wear) are attached to the specific loads and trucks that incurred them. The result: a true cost-per-mile for every asset in your fleet, updated as costs come in.
Revenue and allocated costs are mapped to origin-destination pairs across your network. Lane margin bars show which corridors make money and which ones quietly drain margin. Filter by customer, driver, truck, or time period to find exactly where to focus.
Armed with per-load P&L and lane-level margins, you negotiate rates with cost evidence, not gut feeling. Drop unprofitable lanes, expand high-margin corridors, and forecast operating costs before committing to new freight.
Revenue, 14 cost factors, and net margin calculated automatically as costs come in from your integrations. No spreadsheets, no manual allocation, no month-end wait.
Per-Load P&L
#VK-4821 · CHI → MEM · 540 mi
cost factors tracked
fuel, tolls, pay, insurance, overhead…
per-load P&L after delivery
vs 2-4 weeks manually
cost capture
with fuel card + toll integrations
margin visibility
sorted best to worst by net margin
Accuracy depends on the integrations you connect. More sources in = tighter figures out.
Ecosystem
Profit Engine works hand in hand with every other product in the platform.

FAQ
Everything carriers need to know about per-load profitability analytics.
Talk to someone who has run the lanes. No script, no pressure.
Fleet Profitability
14 cost factors. Per-load P&L. Lane ranking from best to worst. See exactly where your fleet makes money and where it does not.
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