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Enterprise Layer Intelligence
Categories/IoT & Connected Hardware/Covariant
Covariant

Covariant

Founded 2017

Automate warehouse order picking and item handling with robotic vision systems

You can use Covariant to automate complex physical picking and packing operations in logistics warehouses. The system connects advanced machine learning models with robotic arms to identify, pick, and place millions of diverse SKU items without pre-programming each object. You can deploy it for order sorting, induction, kitting, and depalletizing across distribution centers. It adapts continuously to new packaging, fragile goods, and changing warehouse layouts, helping your operations run continuous fulfillment shifts with minimal manual handling and fewer picking errors.

What Covariant does

Pick items from bulk bins into shipping cartonsInduct bagged apparel onto conveyor beltsDepalletize stacked boxes from wooden palletsSort parcels by destination postal codesInspect grasped items to confirm accurate SKU picksTrack real-time picking speed and error metricsRoute completed totes to downstream packing stationsIdentifies and handles previously unseen SKUs without manual trainingPicks items from cluttered bins into bags, boxes, or sortersAutomates parcel induction onto high-speed conveyor beltsPerforms mixed-case and single-item depalletizingMonitors robotic performance and success rates through operational dashboardsConnects directly with warehouse management systems for order routingRecognizes transparent, deformable, and fragile items accurately

Frequently asked

Manhattan Associates WMS, Blue Yonder WMS, SAP EWM, ABB Robotics, Fanuc Robotics, KUKA Systems, Knapp Logistics Automation

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Covariant, robotic picking, warehouse automation, supply chain, robotic arm, order sorting, material handling, item induction, depalletizing, fulfillment automation, logistics robotics, vision systems