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Home Technology Application and Middleware

Warehouses to leverage AI or else

FutureIoT Editors by FutureIoT Editors
June 20, 2024
Photo by Tiger Lily: https://www.pexels.com/photo/man-in-bubble-jacket-holding-tablet-computer-4484078/

Photo by Tiger Lily: https://www.pexels.com/photo/man-in-bubble-jacket-holding-tablet-computer-4484078/

Gartner predicts that by 2027, 50% of companies with warehouse operations will leverage AI-enabled vision systems to replace traditional scanning-based cycle-counting processes.

AI-enabled vision systems are novel hyper-automation solutions that combine industrial 3D cameras, computer vision software, and advanced AI pattern recognition technologies. These solutions leverage high-resolution vision systems combined with AI’s advanced pattern recognition capabilities and machine learning (ML) to radically change how many processes previously dependent on manual human inputs are performed.

Carly West

“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.” 

Gartner survey data of 506 supply chain professionals with input into management and operations processes from December 2023 indicated that 20% of respondents had already adopted AI-enabled vision systems.

West noted that the momentum is expected to continue as the costs and performance of cameras are rapidly improving, along with the pattern recognition capabilities of the AI models as solutions become more packaged and robust.

Recommendations

For supply chain leaders who are considering the deployment of AI-enabled vision systems, Gartner has three recommendations:

1. In the near term, there will not be a singular vendor or solution that fits all possible use cases. However, the value proposition of these solutions can potentially justify experimenting with multiple alternatives at low risk and low cost.

2. Start with simple processes, like cycle counting or worker safety monitoring, that are tailor-made for an AI-enabled vision system. Leverage lessons from early initiatives to help identify additional use cases in the future.

3. More mature companies that have good manual processes like labour management established should begin to assess more advanced solutions like process ergonomic monitoring.

Related:  EasyCare and KaHa forge ehealth pact in SG
Tags: Gartnerwarehouse automation
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The race to harness the power of Internet of Things (IoT) is here. FutureIoT is dedicated to individuals, as well as public and private organizations looking to tap the potential of IoT to transform the way we live, work and do business. FutureIoT is the dedicated media that provides the single source of truth about IoT, the technology, its application and regulation, originating from Asia. << Read more >>

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