Network Flow Stabilization
meets Physical Load Optimization

Underloaded trucks, volatile replenishment volumes, and a suuply chain planning system that can't see what it's planning into. We find the gaps and close them.

What ProvisionAi Does

ProvisionAi addresses two of the largest sources of supply chain value loss simultaneously: physical load optimization — maximizing payload on every truck through AutoO2 — and network flow stabilization — smoothing replenishment volumes across a far-ahead planning horizon through LevelLoad. Together they reduce freight costs by 5–10%, eliminate tens of thousands of annual truck trips, and deliver 97% first tender acceptance with preferred carriers.

$160M Saved per year across the client network
88k Trucks eliminated annually
97% First tender acceptance
90 days Typical ROI from go-live
Trusted by Industry Leaders

Most supply chain losses come from two root causes that standard tools never address.

Rate negotiation, TMS upgrades, and carrier scorecards all help at the margin. They don't fix the planning decisions that create the losses in the first place. The two root causes — underloaded trucks and volatile replenishment volumes — compound each other. Fixing both simultaneously is what AutoO2 and LevelLoad do.

Root Cause 1 — Load Optimization

91% of trucks leave without maximizing their legal payload capacity

In a sample of over 150,000 heavily loaded trucks, 91% could have carried more product. The gap exists because load building software relies on rules of thumb — not mathematical optimization. Rules find a compliant load. Optimization finds the best load. The difference is 5–10% in freight cost and a proportional reduction in Scope 3 emissions — on every load, every day, without changing a single carrier relationship.

91% Of trucks are underloaded — recoverable through truckload optimization software
Root Cause 2 — Network Flow

Supply planning systems create the volume spikes that cost you carrier relationships

Your APS optimizes inventory — without knowing dock capacity, carrier availability, or what every other lane in the network is doing simultaneously. The result is replenishment surges that overwhelm preferred carriers, force spot market dependency, and create the OTIF failures that get blamed on execution. The failure was in the plan, not the dock. Transportation smoothing and level loading transportation — not rate renegotiation — is the fix.

60% Daily variability reduction with LevelLoad — Kimberly-Clark North American network
What Most Supply Planning Systems Ignore

Your APS produces a theoretically optimal plan. It has no idea whether the network can execute it.

Advanced Planning Systems are powerful for inventory optimization. But they operate in a vacuum — unaware of the physical realities that determine whether a plan survives contact with execution. When a plan is approved without checking these constraints, the math looks right. The dock looks like chaos.

Dock throughput limits — how many trucks a site can actually receive and process on a given day

Carrier capacity commitments — what preferred carriers can absorb when volume spikes hit all at once

Axle weight and legal load limits — by state and country, for every product combination on every trailer

Warehouse labor availability — whether the team can pick, build, and load what the plan scheduled for that day

Cross-lane network impact — how one lane's decisions affect carrier capacity across every other lane

Days-of-supply prioritization — which sites are most critically short and need to receive first

Physical Load Optimization

AutoO2 — The load building software that finds the maximum legal payload on every trailer.

Rules-based load builders find a compliant load. AutoO2 is a mathematical optimizer that runs 300+ real-world constraints simultaneously — axle weight, cube utilization, stacking rules, state regulations, damage prevention — and finds the best possible load every time.

Explore AutoO2 →
How AutoO2 Works

Mathematical truckload optimization — not rules, not guesswork.

Every load is a constrained optimization problem. AutoO2 solves it — simultaneously, for every load, every shift — producing a visual loading diagram the dock crew can execute immediately.

1

Item master ingestion — dimensions, weights, stacking rules, and fragility flags for every SKU

2

Constraint resolution — axle weight, cube, stability, damage prevention, and legal limits applied simultaneously across 300+ parameters

3

Dynamic substitution — when shortages occur, AutoO2 maintains fill rate automatically without human decisions at the dock

4

Visual dock diagrams — every loader gets exact placement guidance, eliminating rework and making the standard repeatable regardless of experience level

What AutoO2 Delivers

Five outcomes. Every deployment.

5–10% freight cost reduction — more product per truck means fewer trucks for the same volume

98% truck utilization — the industry average is 85–90%; AutoO2 closes the gap permanently

75% reduction in loader training time — expertise moves from the person to the system

Direct Scope 3 reduction — every eliminated truck is a measurable, auditable CO₂ reduction for ESG reporting

ROI within 90 days — implementation is fast; savings begin immediately from go-live

Network Flow Stabilization

LevelLoad — Transportation smoothing and level loading transportation that eliminates the planning-execution gap.

Your APS plans inventory. It doesn't plan what the network can absorb. LevelLoad builds a 30-day capacity-constrained deployment schedule that smooths daily volumes, locks in preferred carrier commitments early, and produces a plan the network can actually execute.

Explore LevelLoad →
How LevelLoad Works

A digital twin of your network — planning 30 days out against real constraints.

LevelLoad reads data from APS, ERP, TMS, and WMS simultaneously — building a deployment schedule that respects every physical constraint before committing to ship.

1

Constraint ingestion — dock throughput, carrier capacity, warehouse labor, and lane balance across the full network

2

30-day horizon planning — volume smoothed across lanes weeks in advance, not days — giving carriers the lead time to commit preferred capacity

3

Days-of-supply prioritization — sites running shortest get served first; deployment sequences by deployment criticality, not just order dates

4

Continuous re-planning — the plan updates as reality changes; exceptions surface before they become misses, not after

What LevelLoad Delivers

Five outcomes. Every deployment.

60% reduction in daily shipment variability — the primary driver of spot market dependency and OTIF failures

97% first tender acceptance — preferred carriers commit when they see predictable volumes with adequate lead time

~4% replenishment freight savings — rate improvement from core carrier commitment and eliminated spot premiums

OTIF improvement without expediting — variability reduction eliminates the dock congestion events that cascade into service failures

ROI within 4 months — implementation approximately 120 days; savings compound as carrier relationships stabilize

Supply Chain Loss Analysis · Free Diagnostic

Find out exactly where your supply chain is losing money.

Rate yourself across four domains — load optimization, network flow, OTIF performance, and system integration. Your scores build a prioritized roadmap, ranked by where you're losing the most. Takes 15 minutes. No account required to start.

Start the Assessment → Free · 15 minutes · No account required
7–10%Of total supply chain value lost in most operations
4Domains assessed — Load, Flow, OTIF, Systems
15 minTo your full prioritized action plan
1Roadmap — ranked by your actual scores

For operations shipping 5,000+ truckloads per year.

ProvisionAi works with high-volume shippers across CPG, food and beverage, and industrial manufacturing. If freight cost, OTIF performance, or carrier relationships are a problem — we can show you exactly where the gaps are and what it would take to close them.

Response within one business day — no automated sequences, no SDR handoffs
First conversation is a diagnostic — we'll tell you what we see in your operation before asking for anything
No minimum contract to start — most clients see ROI within 90 days of go-live
Trusted by Kimberly-Clark, Riviana, Campbell's, Nestlé, Duracell, Diageo, and Baxter

Eliminate Hidden Losses in Your Supply Chain

For companies shipping 5,000+ truckloads/year.

We'll be in touch within one business day.
Common Questions

ProvisionAi is designed for high-volume shippers — operations moving 5,000 or more truckloads per year. The economics of load optimization and network flow stabilization compound at scale: the larger the network, the larger the opportunity. Most clients ship between 15,000 and 100,000+ loads annually. If you're below 5,000 truckloads, the ROI is typically harder to justify — we'll tell you that honestly in the first conversation.

AutoO2 typically reaches ROI within 90 days of go-live. LevelLoad implementation runs approximately 120 days to full deployment. Neither product requires replacing your existing TMS, WMS, or APS — both integrate with existing systems rather than replacing them. The first savings appear quickly; the compounding benefits build over the following quarters as carrier relationships stabilize and the network settles into the new operating rhythm.

Both products stand alone — most clients start with whichever problem is more urgent. If freight cost and underloaded trucks are the primary issue, AutoO2 is the faster path to ROI. If carrier rejection, spot market dependency, and OTIF failures are the priority, LevelLoad addresses those first. The products are complementary and compound each other's results — but there's no requirement to deploy both simultaneously. The diagnostic tool helps identify which gap is largest in your operation.

ProvisionAi's client base is concentrated in consumer packaged goods, food and beverage, and industrial manufacturing — industries where high truckload volumes and complex product mixes create the largest load optimization and network flow opportunities. The underlying problems — underloaded trucks, volatile replenishment volumes, carrier relationship erosion — are consistent across these verticals regardless of specific product type.

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AutoO₂ Optimizes Loads That Are:
Max Fill
5-10% more product
Axle Legal
No-reloads for all states/countries
Damage-Free
75% reduction in transit damage
Physically Buildable
Loaders get guidance saving 20-40%
Repeatable Across Shifts
Repeatable actions drive both productivity and allow companies to adjust product pricing to reflect bigger shipment size
LevelLoad Uses Data From Planning, ERP, TMS, WMS To Determine What Should Ship Each Day, On Each Truck, Far Into The Future.
Create A 30-Day Capacity Constrained Replenishment Plan
No longer hope it can be done—know it will deliver high service
Flow Is Leveled
Less stress on links in the supply-chain that ultimately results in less cost
Capacity Is Respected
Warehouse labor is stabilized
Loads Are Executable
Loads and unloads happen when planned
Carriers Can Say Yes
95% use of Core carriers at a ~4% reduction in costs