GreyOrange is building Ranger Assist cobots into multi-floor picking

GreyOrange positions Ranger Assist as assisted picking for warehouses that want robot support without rebuilding the floor. GreyMatter directs mobile cobots along optimized paths to multiple locations and floors, while workers keep the pick decision and item handling close to the inventory.

The operating proof is a 3PL record published on the Ranger Assist page: GreyOrange says the customer more than doubled throughput, reaching 2.2 times greater picking throughput and 99.9 percent accuracy for ecommerce fulfillment tied to a premium performance sportswear client. The same page claims productivity gains up to 3 times and ROI within 6 to 8 months.

That workflow sits between manual picking and full goods-to-person automation. Ranger Assist reduces walking and route friction while keeping humans inside the work loop, which can be attractive for 3PLs that change customer programs, SKU mixes, and floor layouts faster than a fixed automation system can be rebuilt.

GreyOrange was founded by Samay Kohli and Akash Gupta after robotics work in India, and the company has grown around GreyMatter software as much as physical robots. The strategic shape is an operating system for fulfillment: robots, picking workflows, inventory logic, and orchestration tied together across brownfield facilities.

The competitive field includes Locus Robotics, 6 River Systems, inVia Robotics, Caja Robotics, Exotec, Geekplus, HAI Robotics, and conventional WMS-directed picking processes. GreyOrange?s distinction is the combination of assisted-picking robots with GreyMatter orchestration rather than a single-task cart or a fixed ASRS cell.

Public material still leaves the 3PL case partly bounded. GreyOrange does not disclose robot count, shift length, SKU mix, baseline labor count, customer intervention frequency, independent deployment timelines, renewal terms, or service response time behind the 2.2 times throughput claim.

Ranger Assist tests whether warehouse cobots can scale as flexible labor multipliers instead of isolated route-following carts. If GreyMatter keeps turning dynamic zones, worker allocation, and robot routing into repeatable throughput gains, GreyOrange can sell person-to-goods picking as a software-managed fulfillment layer.

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