Network Flow Stabilization meets Physical Load Optimization

If you ship 5,000+ truckload per year, planning volatility is driving cost, your OTIF is hurting, and you probably have overtime, detention, and carrier rejection. Your trucks are leaving money on the table.

Before

This is for you if your company:

Uses too many non-core carriers Misses OTIF despite strong demand planning Runs shipping spikes Underloads trucks to "avoid axle issues" Fights dock congestion and overtime Spends over $10M in replenishment transportation

What Most Supply Planning Systems Ignore

Truck Capacity Axle Weight Dock Throughput Packaging Labor Availability Load Feasibility Warehouse Space

What Planning Systems Do

Forecasts demand and plans:

Inventory Production Distribution

What Planning Systems Miss

Never accounts for:

Carrier Capacity Warehouse Space Labor & Throughput

Kimberly-Clark

LevelLoad

Shipment spikes were destroying carrier planning across Kimberly-Clark's entire North American network. EARL — co-built on LevelLoad — eliminated order bunching and saved millions annually in freight costs.

AI in supply chain management is not a future aspiration — it's a present reality.

Scott DeGroot · VP Global Logistics, Kimberly-Clark

Variability reduction

BeforeAfter

Shipments covered

Recommendation acceptance

0 mo

Design to full deployment

The Challenge

Unpredictable order bunching from manufacturing plants created costly spikes in carrier demand. Transportation planning was constantly reactive — securing trucks last-minute at premium rates across the entire North American network.

What Changed

EARL analyzes daily shipment volume against committed lane capacity, submits placeholder orders to lock in carrier slots early, then redistributes loads across a flexible planning window — smoothing spikes without touching service levels or delivery dates.

Riviana Foods

AutoO2

America's largest rice processor was leaving money in every trailer. Mixed product weights meant trucks "weighed out" before filling — until AutoO2 solved it in four months.

The increase in weight per truck adds up in terms of cost savings.

Zachary Dale · Supply Chain Continuous Improvement Manager, Riviana Foods

0.0%

Avg. weight increase per truck

Training time reduced

10k+

Annual shipments optimized

1M$%year

Freight cost reduction per lane

The Challenge

Riviana ships everything from lightweight rice cups to heavy 20-lb bags. The weight variation meant trailers hit legal weight limits before filling — every truck leaving Memphis was carrying less than it could. Training new loaders to handle the complexity took weeks.

What Changed

AutoO2 considers 300+ parameters per load — placing heavier products beneath lighter ones, respecting customer-specific stacking rules, and producing visual load diagrams workers follow immediately. Operators go from onboarding to productive in days, not weeks.

Global CPG Leader

AutoO2

Rising fuel, driver shortages, and poor utilization were inflating costs and emissions. AutoO2 pushed truck utilization to 98% — cutting both freight spend and carbon output simultaneously.

Achieved industry-leading truck utilization while simultaneously cutting costs and carbon — proving efficiency and sustainability are not in conflict.

ProvisionAi Case Study · 2025

Truck utilization achieved

Before: 90–95%98%

4–8%

Transport cost reduction

4–8%

Carbon emissions cut

2039

Net-zero target supported

The Challenge

Trucks running at 90–95% utilization sound efficient — but at scale, that gap represents millions in unnecessary shipments and emissions. Rising fuel costs and a global driver shortage made the problem worse, threatening both the P&L and a hard 2030 emissions target.

What Changed

AutoO2 optimized hundreds of daily shipments — pushing utilization to 98%, reducing total truck count and miles driven. Every efficiency gain hit both the income statement and the sustainability roadmap. Fewer trucks. Fewer emissions. Same or better service.

Eliminate Hidden Losses
in Your Supply Chain

For companies shipping 5,000+ truckloads/year. Our team will reach out within one business day.

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We'll be in touch within one business day.
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Trusted by Industry Leaders

If you ship 5,000+ truckloads/year, planning volatility is driving cost, your OTIF is hurting, you have overtime, detention, and carrier rejection:

Learn More

Why this gets expensive? What Planning Causes:

You can't negotiate

Fuel

Labor

Market Demand

You can eliminate losses

Wasting truck capacity (Not using what you paid for)

Replenishment-planning-caused additional costs

Unstructured dock (non-repeatable) processes

Spikes that force the use of non-core, higher cost carriers

Lulls in need that force core carriers to add deadhead that they built into their rates

What can change

Loads Your Warehouse Can Actually Build

Capacity-Aware Deployment

Earlier Tendering (2.5 Days)

Preferred Carrier Acceptance (>90%)

More Product On Fewer Trucks

Less Costly Trucks

Better OTIF

Load
Optimization

0–0 %

5%10%

Freight cost

Load
Smoothing

0–0 %

2%4%

Freight cost

Picking & Dock
Guidance

Pick labor

0–0%

Loader labor

Carrier
Rates

0–0 %

5%15%

Enhancement in carrier rates

Extra
Trucks

0 %

0%10%

Higher
Emissions

0–0 %

10%20%

OTIF
Failures

0–0 %

1%5%

Carrier
Frustration

Costs built into the rates

Belief that "this is as good as it gets"

Misguided

If you ship 5,000+ truckloads/year, planning volatility is driving cost, your OTIF is hurting, you have overtime, detention, and carrier rejection:

Learn More

Network Flow Stabilization meets Physical load optimization

ProvisionAI

Actions

Site Preference

Results

Products

Customer

Transportation

Other

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 

300+ Real-World Constraints Embedded. This Is Not Rules. This Is Optimization.

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

For More Information To Help You Identify And Eliminate Hidden Losses

Network Flow Stabilization meets Physical Load Optimization

Eliminate Hidden Lossesin Your Supply Chain

Have you registered for our next webinar?

Trusted by Industry Leaders

Why this gets expensive? What Planning Causes:

Network Flow Stabilization meets Physical load optimization

Eliminate Hidden Losses
in Your Supply Chain