Case Study · AutoO2
How AutoO2 turned a weight puzzle into a solved problem — and cut freight costs 10%+ across Riviana's entire operation.
"The increase in weight per truck adds up in terms of cost savings."
Riviana Foods case study — AutoO2 load building software by ProvisionAI. Riviana Foods is America's largest rice producer, based in Memphis, Tennessee. They ship mixed-weight products including lightweight single-serve rice cups and heavy 20-lb family bags across 10,000+ annual truckload shipments.
The challenge: trucks were weighing out before they were physically full. Heavy 20-lb bags loaded first exhausted legal axle weight limits before the trailer cube was filled — leaving payload capacity unused on every load. Correct mixed-weight placement required weeks of expertise, knowledge constantly lost to warehouse turnover. Small per-truck inefficiency compounded across 10,000+ annual shipments into millions in avoidable freight cost.
AutoO2 solved the problem by ingesting item master data from ERP and planning systems, then solving 300+ constraints simultaneously — axle weight distribution, cube utilization, stacking rules, damage prevention, and customer-specific requirements. Heavier rice bags are positioned correctly beneath lighter SKUs, every axle within legal limits for every destination state. Step-by-step visual instructions are sent to RF devices on the dock floor — any loader executes a perfect load from day one.
Results: 10%+ freight cost reduction per lane, 75% reduction in loader training time, 10,000+ annual shipments optimized, ROI within 90 days. Zachary Dale, Supply Chain CI Manager at Riviana Foods: "The increase in weight per truck adds up in terms of cost savings."
Rice ships in every size. Trucks were weighing out before they were full.
Trucks weighing out short
Heavy products loaded first hit legal limits before trailers were full — payload capacity left behind on every load.
Expertise-dependent loading
Mixed-weight placement required experienced loaders — knowledge constantly lost to turnover.
Hidden freight cost at scale
Small per-truck gaps compounded across 10,000+ annual shipments into millions in avoidable expense.
Weeks of onboarding per loader
No systematic load guidance meant productivity suffered during every new hire's ramp-up period.
AutoO2 turned a weight puzzle into a solved problem.
AutoO2 pulls item master data from ERP and planning
Dimensions, weight, stacking rules, and customer-specific requirements for every SKU in the shipment — ingested before building the load.
AutoO2 solves the entire load simultaneously
Weight, cube, axle distribution, damage risk, and stacking constraints resolved simultaneously — heavier products beneath lighter ones, every axle legal for every destination state.
Step-by-step instructions sent to RF devices
Loaders receive exact placement instructions on RF devices. No expertise required — new operators are productive in days, not weeks.
Every load exits the dock fully optimized
Maximum legal payload, no axle violations, damage-free. What was planned is exactly what ships — immediately measurable from day one.
More weight. Less cost. No expertise required.
"The increase in weight per truck adds up in terms of cost savings."
Could your operation run this efficiently?
If it worked for Riviana,
it can work for you.
Most clients see ROI within 90 days. Our team will show you exactly where your loads are leaving money on the table — with specific numbers from your operation.
Case Study · AutoO2
How AutoO2 turned a weight puzzle into a solved problem — and cut freight costs 10%+ across Riviana's entire operation.
"The increase in weight per truck adds up in terms of cost savings."
Riviana Foods case study: AutoO2 load building software by ProvisionAI. Riviana Foods is America's largest rice producer, shipping mixed-weight products from lightweight single-serve cups to heavy 20-lb bags. AutoO2 solved the axle weight optimization problem across 10,000+ annual truckload shipments from Memphis operations. Results: 10%+ freight cost reduction per lane, 75% reduction in loader training time, immediate measurable weight increase per truck, 90-day ROI.
Rice ships in every size. Trucks were weighing out before they were full.
Trucks weighing out short
Heavy products loaded first hit legal limits before trailers were full — payload capacity left behind on every load.
Expertise-dependent loading
Mixed-weight placement required experienced loaders — knowledge constantly lost to turnover.
Hidden freight cost at scale
Small per-truck gaps compounded across 10,000+ annual shipments into millions in avoidable expense.
Weeks of onboarding per loader
No systematic load guidance meant productivity suffered during every new hire's ramp-up period.
AutoO2 turned a weight puzzle into a solved problem.
AutoO2 pulls item master data from ERP and planning
Dimensions, weight, stacking rules, and customer-specific requirements for every SKU in the shipment — ingested before building the load.
AutoO2 solves the entire load simultaneously
Weight, cube, axle distribution, damage risk, and stacking constraints resolved simultaneously — heavier products beneath lighter ones, every axle legal for every destination state.
Step-by-step instructions sent to RF devices
Loaders receive exact placement instructions on RF devices. No expertise required — new operators are productive in days, not weeks.
Every load exits the dock fully optimized
Maximum legal payload, no axle violations, damage-free. What was planned is exactly what ships — immediately measurable from day one.
More weight. Less cost. No expertise required.
"The increase in weight per truck adds up in terms of cost savings."
Could your operation run this efficiently?
If it worked for Riviana,
it can work for you.
Most clients see ROI within 90 days. Our team will show you exactly where your loads are leaving money on the table — with specific numbers from your operation.