Watch the latest episode of TalkingLogistics Podcast to learn about the large financial benefits a massive consumer products goods company like Riviana Foods Inc. can achieve (in the millions) by addressing their capacity challenges. How is artificial intelligence technology utilized to dramatically reduce fuel and labor costs?
F LE X I B LE S O L U T I O N S
G U A R A N T E E D S A V I N G S
Challenges
As manufacturing expanded and the SKU count increased, available warehouse space was reduced, and product weight variability increased. This, combined with outstanding demand for “Ready-to-Serve” items that cube out trailers, proved their previous load building tool was inadequate, and the fill rate suffered.
Solution
Integrated with the supply-planning system, AutoO₂ builds payload-maximizing shipments from available inventory. And it does it quickly.
“The folks from AutoO₂ analyzed our data and told us our savings. We saw savings right out of the gate,” said Zach Dale. “Additionally, the load diagrams that AutoO₂ produces speed shipping and ensures trucks don’t come back from the scale overweight.”
Benefits
In an environment with all the modes in full use and many “hot trucks,” AutoO₂ has helped Riviana to:
Increase payloads by a few percentage points and decrease costs
Enhance loader efficiency (new loaders are as effective as experienced staff)
Decrease carbon footprint
Cut truck axle-weight issues and eliminate damage
AutoO₂ ROI is weeks