Real operations.
Measurable results.
These case studies show how Fortune 500 CPG companies use ProvisionAi to eliminate hidden freight costs, smooth volatile networks, and — at the same time — hit sustainability targets.
Trusted by Fortune 500 CPG Supply Chains
Case Studies: Real companies, measured results.
Shipment spikes were destroying carrier planning across North America.
Unpredictable order bunching from manufacturing plants created costly spikes in carrier demand. As a result, transportation planning was constantly reactive — securing trucks last-minute at premium rates.
"AI in supply chain management is not a future aspiration — it's a present reality."Scott DeGroot, VP Global Logistics, Kimberly-Clark
Rising fuel, driver shortages, and poor utilization were inflating costs and emissions.
Trucks running at 90–95% looked acceptable. However, at hundreds of daily shipments, the gap cost millions and threatened a 2030 Scope 3 emissions target. Load and network optimization fixed both simultaneously.
"Efficiency and sustainability are not in conflict."— ProvisionAi Case Study, 2025
America's largest rice processor was leaving money in every trailer.
Mixed product weights meant trucks hit axle limits before filling — heavy 20 lb bags exhausting capacity before lightweight cups could fill the cube. In short, AutoO2 solved the load-building problem that rules-based systems couldn't.
"The increase in weight per truck adds up in terms of cost savings."Zachary Dale, Supply Chain CI Manager, Riviana Foods
Your operation is next.
These case studies are proof: if you ship 5,000+ truckloads a year, ProvisionAi will therefore find the freight costs you're leaving on the table — and show you exactly how to recover them.
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