Why do they call it a supply chain planning system when it doesn’t plan the supply chain?
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
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
If you ship 5,000+ truckloads/year, planning volatility is driving cost, your OTIF is hurting, you have overtime, detention, and carrier rejection:
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
Optimization
0–0
%
5%10%
Freight cost
Load
Smoothing
Smoothing
0–0
%
2%4%
Freight cost
Picking & Dock
Guidance
Guidance
0%
Pick labor
0–0%
Loader labor
Carrier
Rates
Rates
0–0
%
5%15%
Enhancement in carrier rates
Extra
Trucks
Trucks
0
%
0%10%
Higher
Emissions
Emissions
0–0
%
10%20%
OTIF
Failures
Failures
0–0
%
1%5%
Carrier
Frustration
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:
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