Live Demo · FTL Pricing Engine

Dynamic FTL Pricing Simulator

See how the algorithm prices a truckload in real time: factoring in fuel indexes, lane capacity signals, seasonal demand, and weight. Enter your lane details below.

Quick-Fill Example Lanes

Shipment Details

Select an origin, destination, weight, and date: then hit Calculate Rate to see the algorithmic pricing breakdown.

How the Algorithm Prices a Load

Five independent pricing signals combine into a single market-aware rate. Each factor is updated in real time: no static tariff tables, no gut feel.

Mileage Estimation
Haversine great-circle distance between hub pairs, adjusted by a 1.18× routing factor to account for road geometry. Short hauls command a higher $/mile to cover fixed driver costs.
Fuel Surcharge
Indexed against the DOE national average diesel price. Each price band (e.g. $3.50-$3.74/gal) maps to a published FSC percentage applied to the linehaul rate.
Seasonal Adjustment
Q4 (Oct-Dec) carries a +15% peak demand premium. Post-holiday January-February applies an -8% discount. Summer produce season adds +5% in June-July.
Capacity Factor
Lane-level supply/demand signal derived from historical tender rejection data. Tight lanes like LAX→DAL carry a capacity premium; soft backhauls carry a discount.
Weight Adjustment
FTL efficiency peaks at 40-44K lb. Lighter partial loads carry a premium (up to +35% for loads under 10K lb). Overweight loads attract a multi-axle permit premium.
Confidence Interval
Known high-volume lanes produce a ±8% confidence band. Less-traveled lane pairs widen to ±14%, signaling to procurement that spot-check confirmation is warranted.

See how Arc Data built this for a live carrier network

The architecture note explains the full production architecture: carrier API integrations, real-time DOE feed ingestion, autonomous tender logic, and how a 3PL cut spot-market exposure by 34% in the first quarter.

Read the FTL Pricing Architecture Note