In today’s age of immediacy, the buyer is at the wheel. Meeting their rising expectations for choice and speed is the real world challenge facing fulfillment. At GreyOrange we recognize speed-to-fulfill is at the heart of accelerating overall ‘click-to door’ time and the satisfaction it delivers—a challenge that can’t be met with fixed infrastructure and rigid automation built for a previous era.
Ranger™ GTP Decision-driven science robotic
From fixed, rigid and slow to
MOBILE, SMART AND FAST
Ranger™ GTP is an advanced autonomous mobile robot that uses robotic goods-to-person technology for automated put-away, inventory storage, replenishment and order picking in fulfillment and distribution centers.
Developed in concert with GreyMatter™ AI software and purpose-engineered for speed and versatility, Ranger GTP continuously data-shares with GreyMatter while working in collaborative performance with other robots and the human workforce.
The Ranger GTP automation system adapts seamlessly to changing inventory profiles, demand patterns and peaks.
Modular system architecture ensures bi-directional scalability to increase storage volume or fulfillment throughput independently, by adding more storage racks or robots, as needed.
From reducing travel time by 5x that of human workers, to reconfiguring mobile stock units (MSUs), and working in tandem with other GTPs and Ranger Pick, the result is fluid, dynamic optimization.
GreyOrange is leading the new era of
The pace of modern commerce demands modern thinking and modern technology. That’s why the GreyOrange Fulfillment Operating System combines AI-driven software and intelligent robots that work together, continuously communicating to make each other smarter. By observing real time orders and the flow of the floor – and using that data to inform always-solving algorithms that calculate each moment’s best decision – the GO System is ushering in a new era of distribution based on deeper thinking. Deeper data, dynamic decisions, and demand-driven delivery enable you to fulfill the future in real time.