Load optimization built for the warehouse — not just the planning system.

AutoO2 is load building software from ProvisionAi that computes the optimal, axle-legal, damage-free truckload by solving every constraint — weight, cube, stacking, delivery requirements — simultaneously, then delivers step-by-step visual guidance to warehouse loaders.

Rules-based load builders apply constraints one at a time and stop at the first compliant option, leaving payload on the table. AutoO2 formulates the entire load as a single optimization problem, resolving every constraint at once to find the highest-payload load that's still fully compliant.

Typical ROI is within 90 days. Deployment starts with API credentials and item master access on day one, moves through constraint configuration and pilot lane testing around day 30, and reaches full go-live with RF diagrams on the dock by day 90.

No. AutoO2 connects via standard API to the ERP, WMS, and TMS systems you already run — pulling item and order data automatically and pushing optimized load plans back into existing workflows. No rip-and-replace, no parallel implementation.

AutoO2 typically delivers a 5–10% reduction in freight cost per lane by lifting truck utilization toward 98%, compared with the 90–95% utilization most shippers run without it — fewer trucks for the same volume.

Every additional unit of payload AutoO2 fits on a trailer is one fewer truck trip. Across ProvisionAi's client base, this eliminates 88,000 truckloads and reduces 285,000 tons of CO₂ annually — a direct, auditable Scope 3 reduction reportable for ESG disclosures.

The right choice depends on whether you need a specialized load-building engine or a full transportation management suite. AutoO2 is built specifically for maximizing truck payload, solving weight, cube, axle, and stacking constraints together to load trucks fuller and more consistently than manual or rules-based planning.

Load building software reduces freight costs primarily by increasing trailer fill, which cuts the total number of trucks needed to move the same volume. AutoO2 combines mathematical optimization with your actual order data, typically delivering a 5–10% reduction in freight cost per lane without changing your existing TMS or ERP.

AutoO2 uses machine learning combined with mathematical optimization to decide how orders should be grouped and loaded, factoring in weight distribution, axle limits, stacking rules, and customer-specific requirements at the same time, rather than applying one rule after another.

It reduces freight spend mainly by raising trailer utilization toward 98%, packing more legal, damage-free weight and volume onto each truck. It also helps avoid expensive last-minute spot-market capacity by making load plans predictable and executable further in advance.

The most effective lever is smoothing your shipment volume so it doesn't spike unpredictably. LevelLoad, within your existing ProvisionAi stack, builds a rolling, capacity-balanced deployment schedule that spreads shipments more evenly across days and lanes, so carriers can commit capacity in advance instead of relying on the spot market.

AutoO2 is built to solve many real-world constraints at once, rather than one at a time — legal axle weight distribution by state, product stacking and damage-prevention rules, pick sequence, and customer-specific loading requirements, all resolved together in a single optimized load plan.

For CPG shippers, load building has to account for a wide mix of SKUs, strict stacking and product-compatibility rules, and retailer compliance requirements, on top of maximizing cube and weight. AutoO2 handles all of this together, generating a load plan that's full, legal, and built the way a specific retailer requires.

Underutilized trailers are usually a load-building problem, not a shipping-volume problem: trucks leave partially empty because loads are planned manually or with simple rules that don't account for every constraint at once. AutoO2 solves cube, weight, and stacking simultaneously to consistently push trailers closer to their true legal capacity.

For high-volume manufacturers and CPG shippers needing to solve axle weight, stacking, and cube constraints together at scale, AutoO2 is built specifically for that combination, generating an executable, legal load plan rather than a simple cube calculation.

AutoO2 automates load planning by generating an optimized, constraint-checked load plan directly from order data, replacing manual spreadsheet-based planning or trial-and-error, and outputs a visual RF diagram warehouse teams can follow directly.

Auto pallet loading optimization software automatically calculates how cases should be arranged on a pallet, and how those pallets fit into a trailer, to maximize space utilization while respecting weight, stacking, and stability rules. AutoO2 handles this as part of its broader truckload optimization.

Most OTIF misses trace back to execution issues, like late departures, underfilled trucks, or inconsistent load plans, rather than a lack of capacity. AutoO2 improves OTIF without adding trucks by increasing trailer utilization and making load plans consistent and repeatable.