LG CNS launches AI robot subscription service for warehouse operators

The Robot as a Service (RaaS) aims to help stockroom businesses cut upfront costs by paying in installments

A model promotes LG's new automated robot rental subscription service (Courtesy of LG CNS)
A model promotes LG's new automated robot rental subscription service (Courtesy of LG CNS)
Sin-Young Park 1
2022-06-22 11:12:41 nyusos@hankyung.com
Artificial intelligence


LG CNS unveiled a cloud-based logistics robot subscription service on Tuesday, which could save warehouse operators a significant amount in upfront cosst. 

The conglomerate’s information technology arm dubbed its new service Robot as a Service (RaaS), which allows customers to pay in installments at annual subscription fees during the contract period.

The LG Corp. subsidiary plans to provide customized automated robots based on the logistics centers’ size and purpose. 

Included in the subscription will be a remote warehouse control system using the cloud and the internet of things (IoT) technologies. The aim is to expedite the shipping process and optimize the management of robots through data analytics.

"We will incorporate multiple technologies involved in digital transformation (DX) such as cloud, artificial intelligence, and data with robotics, which would enable more customers to actualize their logistics intelligence," LG CNS smarts logistics business head Lee Jun-ho said in a statement on Tuesday.

Founded in 1987, LG CNS has a whopping 30% market share in South Korea’s automated logistics market, estimated to be around 810 billion won ($625 million). 

The company provides a whole gamut of logistics automation robots including  Autostore, a cube-type logistics robot that can store, load, and move products; AI picking robot that accurately picks up products using artificial intelligence; Automated Guided Vehicle (AGV) that repeatedly transports products on a fixed route; as well as Autonomous Mobile Robot (AMR) that transports and loads products by navigating the route using the equipped sensors. 

Write to Sin-Young Park at nyusos@hankyung.com
Jee Abbey Lee edited this article.

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