Maximizes trailer utilization, reduces deadhead miles, consolidates by weight, volume, compatibility, and delivery windows.
Every action logged. Every decision explainable.
Pulls orders from WMS/TMS — dimensions, weight, commodity, windows.
Identifies LTL-to-FTL opportunities by direction and schedule.
ML calculates optimal placement — weight, stackability, fragility, hazmat.
Sequences stops for minimum miles respecting every time window.
Weight distribution, fragility, stackability, unloading sequence.
Converts partials to FTL. 15–30% savings per shipment.
Maximizes both without exceeding axle or GVW limits.
Minimum miles respecting windows, docks, driver HOS.
DOT/IATA segregation enforced automatically.
Multiple plans side-by-side on cost, utilization, carbon.
Reduced shipment count 35%, freight spend by $2.1M/year.
200+ store routes with LIFO pallet sequencing.
Validates DOT segregation. Prevents $75k+ fines.
Answers from our implementation team.
Customers typically see roughly twelve to twenty-five percent lower linehaul spend by improving cube and weight fill, consolidating compatible LTL into truckload, and cutting deadhead through better sequencing—not just shaving a few miles off a route.
Yes. Constraints include stackability, crush limits, incompatible classes, reefers versus dry, and DOT/IATA segregation. Infeasible builds are rejected with an explanation instead of a silent violation.
Dry van, reefer, flatbed, step deck, and standard ocean containers (20', 40', 45') with axle and GVW checks. Additional equipment profiles can be added where you have dimensional data.
Many mid-size builds (for example, twenty-four stops with a few hundred SKUs) return in under ten seconds. Heavier hazmat or dense SKU mixes may take up to roughly thirty seconds while still staying interactive for planners.
Common integrations include Manhattan, Blue Yonder, SAP EWM, Oracle WMS, Logiwa, and ShipHero. If you expose dimensions, weights, and time windows, we can ingest from most REST- or file-based WMS exports.
See Load Planning running on your actual freight data.
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