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Network Flow Stabilization meets Physical load optimization

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
0%
Variability reduction
BeforeAfter
0%
Shipments covered
0%
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
0%
Training time reduced
10k+
Annual shipments optimized
10%+
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
0%
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.
Trusted by Industry Leaders in High-Volume Shipping
duracell
kimberly clark
campbells logo
P&g
nestle
unilever
rivana
diageo
XMLID_1_
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
0%
Variability reduction
BeforeAfter
0%
Shipments covered
0%
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
0%
Training time reduced
10k+
Annual shipments optimized
10%+
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
0%
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.
Load Optimization
AutoO2
5–10% freight cost reduction
ROI within 90 days

Every truck your warehouse builds should be fully loaded, axle-legal, and damage-free. AutoO2 makes that automatic — pulling from your planning system to maximize payload on every shipment, with step-by-step guidance for pickers and loaders on the floor.

"The global best practice for case picking and truck loading."

Procter & Gamble
See How AutoO2 Works →
Network Deployment Planning
LevelLoad
~4% replenishment freight savings
ROI within 4 months

Your supply plan tells you what needs to move. LevelLoad determines when, in what order, and whether your network can actually handle it — building a 30-day capacity-balanced schedule that smooths shipment spikes, locks in preferred carriers, and keeps OTIF on track.

"Reduced variability daily by 60% across all North American operations."

Scott De Groot · VP Global Logistics, Kimberly-Clark
See How LevelLoad Works →

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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