Autonomous picking systems for 3PL warehouses
Pickrook's edge AI picks novel SKUs without retraining, confirms each pick to your WMS, and keeps error rates below 0.4% — without requiring a robotics engineer on staff.
The Platform
Six capabilities that make piece-picking commercially viable
Designed for mid-size 3PLs running 3–12 fulfillment facilities without dedicated robotics engineering staff.
01
Sub-200ms Grasp Decision
Identify and execute grasp plans faster than manual pick cycle time
Pickrook's edge inference pipeline runs entirely on a compact compute module co-located with the arm controller. From camera frame capture to grasp command issuance takes under 200 milliseconds, comfortably fitting inside the mechanical cycle time of the arm.
02
Novel SKU Generalization
Pick new SKUs without retraining or manual configuration per item
Unlike vision systems trained on product-specific labeled datasets, Pickrook uses a general-purpose pick model trained across hundreds of thousands of warehouse object classes. New item onboarding drops from days of dataset labeling to under two hours of live validation.
03
WMS Bidirectional Sync
Confirm pick identity and quantity back to the WMS without manual scan steps
After each pick, Pickrook posts a structured result record to the warehouse management system confirming item identifier, count, and destination tote. Pick records are audit-ready for retail chargeback disputes.
Our Focus
Built for the piece-picking problem — nothing else
Pickrook is not a general robotics platform. It is the perception and grasp intelligence layer that makes fixed-station arms commercially viable at 3PL scale.
Ready to run a pilot at your facility?
Talk to our team about your current pick operations, SKU mix, and WMS environment. We will tell you whether Pickrook fits — and if not, why not.