Gartner Predicts AI Vision Systems in Half of Warehouses by 2027

These systems leverage advanced AI and machine learning to improve inventory management and worker safety


By 2027, half of all companies with warehouse operations are expected to utilize AI-enabled vision systems, revolutionizing traditional scanning-based cycle-counting processes, according to Gartner. This prediction was unveiled at the Gartner Supply Chain Symposium/Xpo in Barcelona, where industry experts discussed transformative supply chain technology trends.

AI-enabled vision systems, a form of hyper-automation, integrate industrial 3D cameras, computer vision software, and advanced AI pattern recognition technologies. These systems are set to dramatically improve operational processes, inventory management, and worker safety in warehouses.

“Companies are looking beyond traditional solutions as pressures mount to continuously improve operational process performance,” said Carly West, Senior Director Analyst in the Gartner Supply Chain Practice. “AI-enabled vision systems will propagate quickly in warehouse operations as the value proposition is so evident; not only for inventory management but also monitoring that can identify safety issues and ergonomic problems for workers in real-time.”  

For supply chain leaders considering AI-enabled vision systems, Gartner recommends experimenting with various solutions, starting with simple processes, and gradually moving towards more advanced applications.

 


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Carly West, Senior Director Analyst in the Gartner Supply Chain Practice, speaks at the Gartner Supply Chain Symposium/Xpo in Barcelona.
Source: Courtesy of Gartner
Carly West, Senior Director Analyst in the Gartner Supply Chain Practice, speaks at the Gartner Supply Chain Symposium/Xpo in Barcelona.
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