NAGARE™ warehouse AI counts stock as it moves in and out of each rack. US distribution centers and plants cut stockouts and stop shutting down for counts.
In the United States, one pallet put away in the wrong slot can lead to a stockout, a rush order, and an unhappy customer in the same week. With manual warehouse inventory management, the gap between the WMS and the rack grows with every move nobody logs.
NAGARE™, Jidoka's closed-loop process system, runs AI inventory management across US storage areas. It watches every monitored rack and keeps a perpetual inventory from the video.
See it running on your site
Tell our engineers how you count today and they will walk you through implementation, timelines and cost for your site.
Learn More - Talk to our expertSee it running on your site
Tell our engineers how you manage locations and they will walk you through implementation, timelines and cost for your site.
Learn More - Talk to our expertInventory monitoring runs on the cameras you already have across your racks. No pilot line, no new hardware to install. We have mapped this deployment before, which is what makes it fast now.
We walk your storage areas, confirm camera coverage, and scope the rack and SKU list for record-level accuracy.
The model trains on your actual stock, racks, and movement patterns, not a generic library. Training uses 120 minutes of footage.
Counting runs alongside your existing process first, then is confirmed accurate before your records depend on it. Deployment takes 4 weeks, with ROI payback in 6–12 months.
Bring your worst count variance and your busiest aisle. We will scope a pilot on your site.
Comparison
When errors are caught
At the next count, or at the customer
Scheduled scans, fixed gates
As stock moves, in real time
What it sees
Whatever the checker notices
Barcodes, fixed positions only
Stock and operator actions
New site or SKU setup
Recounting, weeks
Reprogramming, weeks
New SKUs configured in minutes
Hardware
Count sheets and handheld scanners
Drones, robots, proprietary rigs
Runs on your existing cameras
Traceability
Paper logs, if kept
Scan log per pass
Video-backed record for every movement
Record trust
Hope
As of the last scan
Continuous, every shift
P&G's warehouse teams used NAGARE™ to log stock in each storage location from video. Inventory accuracy improved 30%, and orders shipped faster once manual stock audits stopped.
High-speed biscuit inspection with automated quality control:
Labelled bottle inspection with AI vision system and modular hardware:
It measures how often the stock your system shows matches what sits in each location. Teams calculate it as accurate records divided by records counted, times 100.
Yes. NAGARE™ updates each location's count from video as stock moves, which replaces scheduled cycle counting and separate inventory count software with a count that stays current.
A warehouse management system or other inventory tracking system knows only the moves people enter. AI inventory management sees the moves themselves, including the ones nobody entered.
No. Scanning stays at the dock doors for inbound and outbound transactions, and warehouse AI from Jidoka adds a visual check on the racks between those scans.
No. Jidoka's warehouse AI works from fixed cameras. Aisles stay free of robots, and nobody has to charge or fly drones.
Yes. An inventory audit can pull video for any sampled location, which speeds up verification.
.svg)