US-based warehouse automation specialists, GreyOrange, has announced it is collaborating with Google Cloud to deliver AI-powered solutions which, it says, reduce the deployment time of autonomous mobile robots (AMRs) by up to 80%.

The collaboration will see the development of GreyOrange’s GreyMatter DeepNav software which it describes as an “AI-powered solution for dynamically managing and optimising autonomous robotic operations at scale”.

GreyOrange says despite the clear benefits of AMR’s, the ramp-up time for deployment is a barrier for some.

“Most warehouse robots are governed by hand-crafted rules, with minimal assistance from machine learning,” GreyOrange states. “Adding or adjusting AMRs requires expensive, time-consuming human intervention, which discourages innovation and prevents operators from fully adopting and scaling robotic systems.”

GreyMatter DeepNav has been built on Google Cloud’s Vertex AI platform and says its technology will reduce the time and manpower needed to train new AMRs on intelligent path planning across a large fleet from multiple manufacturers.

Akash Gupta, co-founder and CEO of GreyOrange, says: “We view the warehouse as a living ecosystem”

“Our GreyMatter warehouse orchestration platform optimises up to 1 million AMR operations per minute, and with each action, we gain deeper insights into how robotic systems behave under real-world conditions,” Gupta adds.

Paula Natoli, global director, Supply Chain & Logistics Strategy and Solutions with Google Cloud adds: “The future of warehouse operations is intelligent, adaptive, and seamlessly orchestrated”.

“This [collaboration] represents a monumental leap in warehouse optimisation, turning complex data into real-time operational excellence and unlocking unprecedented efficiency for global supply chains,” Natoli continues.

The AI-powered AMR software is expected to be available in early 2026.