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, about 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 97% first tender acceptance, and delivered 60% variability reduction. For the full set of freight cost levers, see ProvisionAi's guide on how to reduce freight costs: https://provisionai.com/how-to-reduce-freight-costs/
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 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 De Groot, 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 97% first tender acceptance, 60% variability reduction, about 4% replenishment cost savings, and improved OTIF performance.
Combined Impact
Together, AutoO2 and LevelLoad address both root causes of avoidable freight spend. 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, 97% first tender acceptance across client operations.
Use Case · Freight Cost Reduction
Every load leaving your dock
under capacity is money
you already paid for.
Renegotiating contracts only goes so far. The real opportunity is already in your operation. For every lever in the right order, read our guide on how to reduce freight costs.
- Trucks leave the dock at 90–95% payload, and the gap is invisible without the right system.
- Replenishment volatility generates spikes in carrier demand. Preferred carriers can't handle the spikes, so higher cost/worse service spot trucks fill the gap at a substantial penalty.
- Both problems compound daily across every lane. Most teams have learned to live with them.
Two targeted fixes. Permanent reduction in cost per unit shipped.
- Every truck leaves at maximum legal payload: any shift, any loader, automatically.
- Carrier slots reserved 30+ days ahead: preferred carriers commit because volume is predictable.
- The savings aren't a one-time project: they compound across every shipment, every year.
Where the money goes
Two silent leaks in
every freight budget.
The payload gap hiding in every load
Customers don't order to the maximum. Conservative planning leaves space unfilled. And without a system purpose-built to solve the cube/weight puzzle, planners and loaders default to what's safe, not what maximizes payload. This gap compounds daily into millions in avoidable freight spend.
costs lots
The spike tax baked into your planning cycle
APS systems plan inventory by threshold, and they don't consider whether sites and carriers can efficiently absorb what they push. The result: end-of-week bunching that preferred carriers can't handle. Spot market trucks fill the gap at a substantial penalty every single time it happens, which is every week. And OTIF suffers.
With U.S. diesel at a record high, that penalty keeps growing. See how shippers reduce diesel fuel costs by running fewer trucks for the same freight.
How ProvisionAi fixes it
One platform. Both problems solved.
Close the payload gap on every load, every shift.
AutoO2 ingests item dimensions, weights and stacking constraints from your ERP, then optimizes the entire load across axle weight, cube, damage risk and stacking rules at the same time. Maximum legal payload, axle-legal, damage-free.
- Simultaneous multi-constraint optimization: weight, cube, axle distribution, damage and stacking rules solved in a single pass.
- Visual load instructions on screen: any loader, any shift, same optimized result. No expertise dependency.
- Order consolidation: fewer total trucks, same delivery performance.
Reserve preferred carriers before the spike happens.
LevelLoad builds a 30+ day capacity-balanced deployment schedule across your network, smoothing daily volumes so preferred carriers can commit to more uniform demand well in advance, eliminating the need for spot rates.
- 97% first tender acceptance: core carriers commit when volume is predictable.
- 30+ day planning horizon: carrier slots reserved before demand spikes hit the dock.
- 60% variability reduction: eliminates bunching, spikes and spot market dependency.
- Improved OTIF: level replenishment means carriers show up on time, every time.
"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."Scott De Groot · VP Global Logistics, Kimberly-Clark
The scale of what's possible
What these gains look like
across a real network.
Every eliminated truck
is a permanent reduction in cost per unit shipped, compounding annually.
Questions
Truckload freight cost reduction, answered.
Looking for every lever beyond load optimization and network planning? Read the full guide on how to reduce freight costs.
How do CPG companies reduce truckload freight costs?
CPG companies reduce truckload freight costs through two mechanisms: load optimization (maximizing legal payload per truck using software like AutoO2, delivering 5–10% freight cost reduction) and transportation planning (smoothing replenishment volatility to lock in preferred core carriers 30+ days ahead using LevelLoad, delivering about 4% replenishment savings and improved OTIF). Together, these address the two root causes of avoidable freight spend: underloaded trucks and spot market dependency caused by shipment spikes.
What is the typical freight cost reduction from load building software?
Load building software like AutoO2 typically delivers 5–10% freight cost reduction by maximizing legal payload on every truck. AutoO2 closes the payload gap by optimizing axle weight, cube utilization, stacking rules and damage risk at the same time, and by giving loaders visual step-by-step instructions on the warehouse floor. ROI is typically achieved within 90 days.
Why do shipment spikes increase freight costs?
Replenishment volatility generates spikes in carrier demand that preferred core carriers cannot absorb. APS and ERP systems plan inventory by threshold, not by transportation network capacity, creating end-of-week or end-of-period bunching. Spot market trucks fill the gap at a substantial penalty every time it happens, and OTIF suffers. LevelLoad solves this by building a 30+ day capacity-balanced deployment schedule that smooths daily volumes, reserves carrier slots in advance, and achieves 97% first tender acceptance.
How long does it take to see ROI from freight cost reduction software?
AutoO2 load building software typically delivers ROI within 90 days. LevelLoad transportation planning software typically delivers ROI within 4 months. Across ProvisionAi's client base, the combined impact is $160M saved annually in freight costs, 88,000 trucks eliminated per year, and 285,000 tons of CO2 reduced annually.
What is the utilization gap in truckload freight?
The utilization gap is the difference between what trucks currently carry and the maximum legal payload. Most operations run at 90–95% utilization, leaving payload capacity unused on every load. Multiplied across thousands of annual shipments, this gap compounds into millions in avoidable freight spend. Load building software like AutoO2 closes the gap by solving weight, cube, axle distribution and stacking constraints at the same time.
How does transportation planning improve OTIF?
OTIF suffers when replenishment volatility creates shipment spikes that preferred carriers cannot absorb, forcing last-minute spot bookings with worse service levels. LevelLoad improves OTIF by leveling daily shipment volumes across a 30+ day planning horizon, so preferred carriers can commit capacity in advance. The result is 97% first tender acceptance, 60% variability reduction, and consistent on-time delivery performance.
Find out what's in your freight budget
Most operations have a 5–10% reduction
sitting in their loads right now.
Tell us where you are today. We'll show you exactly where it is, with numbers from your own operation, not benchmarks.