LG CNS Showcases AI-Focused Smart Factory Solutions at IMTS 2026

LG CNS Showcases AI-Focused Smart Factory Solutions at IMTS 2026



As the International Manufacturing Technology Show (IMTS) 2026 kicks off in Chicago, LG CNS, a prominent AI transformation company based in Korea, is setting its sights on the North American manufacturing sector. The company’s participation highlights its commitment to providing AI-powered smart factory solutions that enhance operational efficiency across various industries.

IMTS 2026, recognized as the largest manufacturing technology exhibition in North America, is expected to welcome around 1,800 exhibitors and over 90,000 visitors. This year, the focus centers on Industrial AI, a theme that underscores the transformative potential of artificial intelligence throughout the manufacturing process. Attendees will witness firsthand the practical applications of AI on the factory floor, designed to optimize productivity and streamline operations.

LG CNS plans to introduce several innovative solutions derived from its smart factory platform, Factova. Built upon advanced AI and IoT technologies, Factova aims to revolutionize production processes, offering manufacturers the tools to create smarter, more efficient factories. With over three decades of technical expertise from diverse manufacturing environments, including esteemed LG Group affiliates like LG Electronics and LG Chem, LG CNS is well-positioned to make a significant impact in the industry.

One of the flagship solutions showcased at IMTS is Factova Worldworks, a digital twin-based simulator. This tool allows manufacturers to explore and validate operational strategies in a controlled virtual environment before executing them on the factory floor. By mimicking an actual factory in a 3D setting, Worldworks enables users to experiment with spatial arrangements and data monitoring to refine production processes. For instance, when planning for a new factory, manufacturers can simulate the logistics and equipment setup, thereby minimizing costly trial-and-error in real-world scenarios.

Additionally, Factova MES serves as a comprehensive manufacturing execution solution that monitors the entire production workflow in real time. By leveraging AI, this system analyzes critical floor-level data, such as equipment utilization and workforce performance, to enhance operational efficiency. Unique to Factova MES is its modular design, which allows manufacturers to adopt tailored functionalities that cater to their specific needs, giving them the flexibility to scale operations as required.

Another standout feature is Factova Control, which has been upgraded with cutting-edge AI capabilities. This solution standardizes and collects data from various manufacturing equipment in real time, facilitating unified control and oversight. By analyzing key parameters like electrical current and temperature, it can anticipate potential equipment failures, thus acting as an early warning system. Integrating smoothly with higher-level systems like MES, Factova Control is already in operation across more than 100,000 manufacturing machines worldwide.

LG CNS is keen to tap into the burgeoning smart factory market within North America backed by the proven efficacy of its core Factova solutions. Jun-ho Lee, CEO of LG CNS America, expressed confidence in the company’s ability to deliver substantial results: “Factova has demonstrated proven performance differentiation and quality across more than 100 manufacturing sites worldwide. We are eager to build on this foundation and provide our North American customers with remarkable improvements in their operations.”

As LG CNS continues its journey in revolutionizing industry with AI, its presence at IMTS 2026 marks a crucial step toward enhancing the manufacturing processes of tomorrow. By showcasing its innovative smart factory solutions, LG CNS demonstrates its dedication to transforming the landscape of manufacturing in North America.

For more information on LG CNS and its offerings, visit LG CNS.

Topics Consumer Technology)

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