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No bunching. No detention. No surprises.

Trusted by Industry Leaders in High-Volume Shipping
duracell
kimberly clark
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P&g
nestle
unilever
rivana
diageo
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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.

How does it work?

Most supply plans tell you what needs to move. They don’t tell you when, in what order, or whether your network can handle it.

 

LevelLoad does. A digital twin of your supply network — building a 30-day deployment schedule that balances every lane, every site, and every carrier automatically.

1
Data Synthesis

LevelLoad gathers data from your planning and execution systems, combining it with the known capabilities of your carriers and warehouses — building a complete picture of what needs to move and what the network can handle.

2
Network Plan

LevelLoad anticipates demand spikes — pulling forward the most needed products and delaying less urgent shipments to prevent bottlenecks. Because every lane affects every other, all scheduling decisions are made simultaneously across the full network.

3
Truck & Carrier Reservations

LevelLoad calculates how many trucks are needed daily — by origin, destination, and mode — then reserves carrier equipment 5 days out. A shell Stock Transfer Order is passed to the ERP, automatically triggering the TMS to create the tender and lock in your preferred carriers ahead of other shippers.

4
AutoO2 Fills the Loads

LevelLoad determines how many trucks go. AutoO2 fills them — using live supply data close to the pickup date to prioritize the most needed product and send step-by-step loading instructions to the warehouse floor.

How LevelLoad Works
60%reduction in daily variability
90%first tender acceptance rate
~4%replenishment freight cost savings

LevelLoad consolidates data from otherwise independent systems — Planning, ERP, TMS, and WMS — to make informed decisions. It leverages everything from forecasts to space availability.

Planning ERP TMS WMS

Using this data, LevelLoad creates an optimized schedule for every lane over the next 30 days, balancing warehouse space, site throughput, and carrier capacity to ensure smooth operations.

In most large companies, replenishment happens in full truckload quantities, so LevelLoad's Digital Twin mirrors this reality. Each prioritized shipment is a full truckload, optimized with AI-driven load building to ensure the most critical products ship first.

Example: The most needed products are always on the first load.

Because every decision is interconnected, LevelLoad optimizes the entire network simultaneously. Reducing shipments to one site could lead to overflow at another, requiring a careful balance across all locations.

Instead of locking in fixed replenishment orders with carriers too early, LevelLoad creates flexible orders in the ERP using temporary "dummy" codes. As the shipment date approaches, these codes are replaced with real-time demand-driven allocations, ensuring the right products ship at the right time.

AutoO2, the optimizing load builder, replaces dummy codes with the highest-priority products just before shipping. Because demand shifts over time, this close-to-ship-time adjustment ensures trucks are filled with what is needed most — improving on-time, in-full (OTIF) performance and minimizing costly inefficiencies.

LevelLoad

Prescribes how many trucks go, on which lanes, and when — reserving carrier capacity days in advance.

AutoO2

Fills those trucks with the right product at the right time — maximizing payload and driving OTIF performance.

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

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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In the meantime, explore how ProvisionAi works.