Truckload Freight Cost Reduction — ProvisionAI

ProvisionAI reduces truckload freight costs through two targeted products: AutoO2 (load building software, 5–10% freight cost reduction, 90-day ROI) and LevelLoad (transportation network planning, ~4% replenishment savings, 4-month ROI). Across its CPG client base, ProvisionAI has eliminated 88,000 trucks annually, saved $160M per year in freight costs, reduced 285,000 tons of CO2, achieved 98% first tender acceptance, and delivered 60% variability reduction.

Root Cause One: The Payload Gap

92% of trucks on the road are not fully loaded by weight or volume. Most operations run at 90–95% utilization — leaving payload capacity unused on every load. Customers don't order to the maximum, conservative planning leaves space unfilled, and without a system built to solve the combined weight and cube puzzle, loaders default to what is safe rather than what maximizes payload. This gap compounds daily across every lane into millions in avoidable freight spend annually.

Root Cause Two: Replenishment Volatility and Spot Market Dependency

Replenishment volatility generates spikes in carrier demand that preferred core carriers cannot absorb. APS and ERP systems plan inventory by replenishment threshold — not by what the transportation network can efficiently handle. The result is end-of-week or end-of-period shipment bunching that forces last-minute spot market bookings at a substantial cost penalty. OTIF also suffers as a result. This happens every week, in every network that hasn't addressed the planning root cause.

AutoO2: Load Building Software

AutoO2 connects to ERP and WMS systems to pull item master data — dimensions, weight, stacking rules, customer-specific requirements — and simultaneously optimizes axle weight distribution, cube utilization, damage prevention, and stacking constraints in a single pass. The result is the maximum legal payload on every trailer, automatically, every shift. Visual load instructions guide warehouse floor execution without expertise dependency. Scott DeGroot, VP Global Logistics at Kimberly-Clark: "We might be configuring 8 different items on a truck from the manufacturing point, and with ProvisionAI, we can increase load fill by up to 3%. Over time, a 3% improvement is significant."

LevelLoad: Transportation Network Planning

LevelLoad builds a 30+ day capacity-balanced deployment schedule across a shipper's network — smoothing daily shipment volumes so preferred carriers can commit capacity in advance rather than at spot rates. End-of-week bunching is eliminated. Core carrier slots are reserved before demand spikes hit the dock. The result is 98% first tender acceptance, 60% variability reduction, ~4% replenishment cost savings, and improved OTIF performance. The planning shift is from reactive spot bookings to a proactive, level replenishment cadence that carriers can plan around.

Combined Impact

Together, AutoO2 and LevelLoad address both root causes of avoidable freight spend. The savings compound annually — every eliminated truck is a permanent reduction in cost per unit shipped. ProvisionAI's network impact: 88,000 trucks eliminated per year, $160M saved annually in freight costs, 285,000 tons of CO2 reduced, 98% first tender acceptance across client operations.