We didn't learn supply chain.
We built software because we lived it.
Most supply chain software is built by technologists who studied the problem. ProvisionAi was built by supply chain veterans who experienced it — and spent 30 years encoding what they learned into optimization that works in the real world.
Thirty years of solving the problems that planning systems can't.
ProvisionAi wasn't founded to build software. It was founded to solve a specific problem that no existing tool could address — the gap between what planning systems approve and what the physical network can actually execute. That problem is still the only thing we solve.
Founded by supply chain veterans — first deployed at one of the world's largest consumer goods companies
ProvisionAi was founded on a single insight: trucks were leaving with payload on the table because no tool existed to optimize physical load configuration at scale. The first version of AutoO2 was deployed at a Fortune 500 CPG manufacturer. The problem was real. The solution worked. The client is still with us.
Expanding across the largest CPG supply chains in North America
As AutoO2 deployed across more operations, the optimization engine deepened — more parameters, more constraint types, more product configurations. Every client brought new complexity. Every deployment made the system better. The 300+ real-world constraints baked into AutoO2 today weren't designed in a conference room — they were encountered on real loading docks, in real warehouses, with real product.
A major CPG client identifies the network problem — LevelLoad is built
A VP of Global Logistics at one of North America's largest CPG manufacturers came to ProvisionAi with a problem AutoO2 couldn't solve alone: even perfectly built loads were failing because the deployment schedule was creating chaos in the carrier network. That conversation became LevelLoad — co-developed with the client and deployed across their entire North American operations. The results: 60% reduction in daily variability and 97% first tender acceptance.
$160M saved annually — 88,000 trucks eliminated — 285,000 tons CO₂ reduced
Nine of the world's best-run CPG supply chains. The numbers compound every year — not because the platform is sold more aggressively, but because it works and clients expand it. That's 30 years of the same answer to the same question: what does the network actually need to execute the plan?
Real-world constraints baked in — not configured by consultants
Every constraint in AutoO2 was encountered in a real warehouse, on a real loading dock, with real product. Axle weight rules by state. California kingpin compliance. Temperature zone segregation. Fragile product stacking limits. Customer-specific delivery requirements. These aren't configurable options — they're embedded because we've seen every way a load can fail.
The only optimization company that started on the dock floor
Most supply chain AI companies start with algorithms and go looking for problems to solve. ProvisionAi started with the problem — a loader on a dock floor with a trailer to fill and no reliable way to maximize what went on it — and built the algorithm to solve it. The system was designed from the constraint up, not from the model down. That difference is in every load we build.
Named clients. Real numbers. Verified outcomes.
ProvisionAi doesn't publish anonymized results or composite savings figures. Every number below is attributed to a named client, a specific product, and a measurable mechanism — so you can evaluate whether the same opportunity exists in your operation.
"AI in supply chain management is not a future aspiration — it's a present reality. We've been able to smooth our shipment volumes, retain our preferred carriers, and hit OTIF targets we couldn't reach before."
Scott DeGroot · VP Global Logistics, Kimberly-Clark Read the case study →"The increase in weight per truck adds up in terms of cost savings. AutoO2 is the global best practice for case picking and truck loading."
Zachary Dale · Supply Chain CI Manager, Riviana Foods Read the case study →Five things no other supply chain vendor can say.
These aren't marketing claims. They're structural advantages that come from 30 years of solving the same problem — and from never being distracted by a different one.
Most supply chain AI companies were founded after 2015. ProvisionAi has been running in production environments — real warehouses, real trucks, real loads — for over 30 years. The optimization engine is mature because it's been tested on millions of real loads, not simulations.
The founding team came from supply chain operations — not from software companies that studied the problem. They built AutoO2 because they knew exactly what a loader needed and what existing tools couldn't deliver. That operational DNA is in every product decision.
Rules-based load builders apply constraints one at a time and stop at the first compliant solution. AutoO2 solves all 300+ constraints simultaneously to find the actual maximum. The gap between a compliant load and the optimal load is 5–10% of freight cost. That's the number ProvisionAi recovers.
Most vendors solve either the load or the network. ProvisionAi solves both. AutoO2 maximizes what goes on every truck. LevelLoad ensures those trucks move on preferred carriers at contract rates. The savings compound because both levers are pulled simultaneously.
Nine Fortune 500 CPG companies. Some of the most complex, highest-volume supply chains in the world. These organizations don't deploy software that doesn't work — and they don't stay with vendors who stop delivering. The client list is 30 years of proof.
Find out what ProvisionAi would change in your freight network.
If you ship 5,000+ truckloads a year, our team will show you exactly where the opportunity is — with specific numbers based on your actual freight spend and volume. For operations shipping 5,000+ truckloads/year · Response within one business dayEliminate 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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