How AutoO2 turned a weight puzzle into a solved problem — and recovered $1MM+ in freight costs across Riviana's entire operation.

Riviana Foods Case Study: AutoO2 Load Building Software by ProvisionAi

Riviana Foods is America's largest rice producer, headquartered in Houston, Texas, with major distribution operations in Memphis, Tennessee. They ship more than 10,000 truckloads per year of mixed-weight products — from lightweight single-serve rice cups to heavy 20-lb family bags — making truckload weight optimization a persistent operational challenge.

The Problem: Payload Capacity Left Behind on Every Load

Riviana's mixed-weight product portfolio created a structural loading problem. Heavy 20-lb rice bags placed in a trailer first would fill available payload — but because heavy products couldn't reach legal axle weight limits before the trailer was physically full, payload capacity was being left behind on every single load. The weight gap per truck was small, but across 10,000+ annual shipments, the annual cost was significant — adding up to millions in avoidable freight spend. Building a correct mixed-weight load also required experienced loaders who understood axle weight distribution across multiple destination states. That knowledge walked out the door with every turnover, and training a new loader took weeks.

The Solution: AutoO2 Load Building Software

ProvisionAi deployed AutoO2, its AI-powered load building software, across Riviana's Memphis operations. AutoO2 connects directly to Riviana's ERP system to pull item master data — dimensions, weight, stacking rules, and customer-specific requirements — for every SKU in every shipment. It then solves the entire load simultaneously, optimizing axle weight distribution, cube utilization, stacking constraints, and damage prevention in a single pass. The result is the maximum legal payload on every trailer, automatically, every shift. Loaders receive step-by-step visual placement instructions on screen — no mixed-weight expertise required. New operators are productive from day one. The institutional knowledge of how to build a legal, optimized load is embedded in AutoO2, not in individual employees.

The Results

Riviana Foods achieved 10%+ freight cost reduction per lane — representing millions of dollars in annual savings across their operation. Loader training time dropped 75%. More than 10,000 annual shipments are now optimized automatically. ROI was achieved within 90 days of deployment. Zachary Dale, Supply Chain Continuous Improvement Manager at Riviana Foods: "The increase in weight per truck adds up in terms of cost savings."

Why This Matters for Other Shippers

Riviana's situation is not unique. Any shipper running mixed-weight products — consumer packaged goods, food and beverage, industrial supplies — faces the same axle weight optimization challenge. AutoO2 eliminates the weight gap by solving the cube-weight puzzle automatically on every load. For a shipper running 5,000+ truckloads per year, the compounding effect of even a small per-truck payload improvement translates into millions in recovered freight value annually.

About AutoO2

AutoO2 is ProvisionAi's load building software for truckload optimization. It integrates with ERP and WMS systems to pull order data and generate optimized load plans automatically — without TMS or WMS replacement. AutoO2 also guides warehouse floor execution through visual load diagrams, reducing loading errors, training time, and damage. Typical freight cost reduction is 5–10% per lane. Typical ROI is within 90 days.