ASICS cuts inventory recovery time 60 percent using Corvus Robotics drones
ASICS cuts inventory recovery time 60 percent using Corvus Robotics drones
Corvus Robotics announced that ASICS America Corporation is operating Corvus One autonomous inventory drones in its Byhalia, MS distribution center.
ASICS America Corporation has deployed Corvus One autonomous inventory drones in its Byhalia, MS distribution center to increase counting frequency and reduce misplaced inventory recovery time by approximately 60 percent, reallocating manual labor hours to exception resolution.
Source: Robotics & Automation News · Read original article ↗
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What the source reports
Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
- Control
- Reported autonomousOpen source S2
Reported numbers
counting frequency increase
6
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Corvus Robotics , a developer of physical AI robotic systems for logistics and warehousing operations, has announced that ASICS America Corporation is running Corvus One autonomous inventory drones inside its Byhalia, MS distribution center, where nightly flights have increased counting frequency 6x in two of the building’s highest-risk storage areas, which are now counted monthly. ASICS reports recovering misplaced
Open source S2monthly counting labor hours redirected
≈200 hours
View original evidence
inventory roughly 60 percent faster since the system went in and has redirected about 200 hours of monthly counting labor into inventory research and exception resolution. A full video case study detailing the deployment and operational impact at ASICS America is available here. The facility holds close to 3 million units, 2.3 million pairs of footwear and 700,000 pieces of apparel and accessories, across roughly 44,
Open source S3misplaced cases surfaced in three months
26
View original evidence
tretch the drones surfaced 26 misplaced cases holding more than 200 pairs of shoes, product that would otherwise have stayed unavailable to customers until the next scheduled physical count. In both areas the drone does two jobs on the same pass, reading every UPC and counting the boxes in each location. In the singles area, returns mean the same SKU can show up several times in one location, so a UPC read on its own
Open source S7pairs of shoes in misplaced cases
>200
View original evidence
tretch the drones surfaced 26 misplaced cases holding more than 200 pairs of shoes, product that would otherwise have stayed unavailable to customers until the next scheduled physical count. In both areas the drone does two jobs on the same pass, reading every UPC and counting the boxes in each location. In the singles area, returns mean the same SKU can show up several times in one location, so a UPC read on its own
Open source S7nightly flights scheduled
7
View original evidence
can get attached to the wrong box. Counting the boxes gives ASICS a physical total to check the scans against. If the drone counts 10 boxes, it should come back with 10 UPC reads. ASICS schedules seven flights a night, starting around 7pm. The very narrow aisles (VNA) the drones fly in are less than 6 feet wide, and Corvus One flies them using onboard computer vision and spatial reasoning, with no additional infrast
Open source S8units held back per 100 before deployment
12–15
View original evidence
ructure anywhere in the building. The following morning an inventory associate reviews each flight and resolves most discrepancies from a desk, working off the video and images the drones capture of every location. The accuracy shows up on the revenue side too. ASICS publishes availability feeds to online marketplaces, and before Corvus One the team held back 12 to 15 units out of every 100 because the tail of the in
Open source S9
- paper: not_reported
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
Corvus Robotics , a developer of physical AI robotic systems for logistics and warehousing operations, has announced that ASICS America Corporation is running Corvus One autonomous inventory drones inside its Byhalia, MS distribution center, where nightly flights have increased counting frequency 6x in two of the building’s highest-risk storage areas, which are now counted monthly. ASICS reports recovering misplaced
Open source S2
ASICS cuts inventory recovery time 60 percent using Corvus Robotics drones
Open source S1
inventory roughly 60 percent faster since the system went in and has redirected about 200 hours of monthly counting labor into inventory research and exception resolution. A full video case study detailing the deployment and operational impact at ASICS America is available here. The facility holds close to 3 million units, 2.3 million pairs of footwear and 700,000 pieces of apparel and accessories, across roughly 44,
Open source S3
tretch the drones surfaced 26 misplaced cases holding more than 200 pairs of shoes, product that would otherwise have stayed unavailable to customers until the next scheduled physical count. In both areas the drone does two jobs on the same pass, reading every UPC and counting the boxes in each location. In the singles area, returns mean the same SKU can show up several times in one location, so a UPC read on its own
Open source S7
can get attached to the wrong box. Counting the boxes gives ASICS a physical total to check the scans against. If the drone counts 10 boxes, it should come back with 10 UPC reads. ASICS schedules seven flights a night, starting around 7pm. The very narrow aisles (VNA) the drones fly in are less than 6 feet wide, and Corvus One flies them using onboard computer vision and spatial reasoning, with no additional infrast
Open source S8
ructure anywhere in the building. The following morning an inventory associate reviews each flight and resolves most discrepancies from a desk, working off the video and images the drones capture of every location. The accuracy shows up on the revenue side too. ASICS publishes availability feeds to online marketplaces, and before Corvus One the team held back 12 to 15 units out of every 100 because the tail of the in
Open source S9
Source：Robotics & Automation News · roboticsandautomationnews.com