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800 AI Agents Now Run GE Appliances’ Factory Floor

GE Appliances has deployed more than 800 artificial intelligence agents across its manufacturing, logistics and supply chain operations, using Google Cloud’s Gemini Enterprise, the company said in its announcement. “AI is now integral to the way work gets done at GE Appliances,” said Mandar Deo, the company’s chief digital officer. The agents run inside a […] The post 800 AI Agents Now Run GE…

800 AI Agents Now Run GE Appliances’ Factory Floor

GE Appliances has deployed more than 800 artificial intelligence agents across its manufacturing, logistics and supply chain operations, leveraging Google Cloud's Gemini Enterprise. The AI agents, housed within a data platform called Brilliant Factory, provide real-time insights into production, parts, and worker activity across all lines and shifts. This enables employees to review a shift's worth of data in minutes, rather than hours, and even ask the system questions directly, bypassing the need for a data scientist.

The AI agents have already proven beneficial in various aspects of GE Appliances' business. For instance, an AI agent managing communication with over 600 suppliers automated routine order-status queries, reducing orders by 25%. This freed up staff to focus on higher-value tasks. Additionally, a separate tool scans customer feedback and photos to detect product defects earlier, enabling the company to catch issues sooner and improve product quality.

GE Appliances' investment in U.S. manufacturing since 2016 has amounted to over $3.5 billion, more than any competitor in its category. Its Roper Corporation plant in LaFayette, Georgia, exemplifies the tangible results of this investment. A $180 million expansion, $60 million more than initially planned, has added over 600 jobs and tripped the plant's robot usage. The plant's versatile lines can assemble gas, electric, or induction ranges, adapting to demand fluctuations and reducing downtime.

What sets GE Appliances' implementation apart is the system's comprehensive reach, extending beyond defect detection to inform decisions on production volume, staffing, and inventory levels. This data-driven approach, which used to rely on managerial judgment and reports, now benefits from real-time insights from these AI agents. Consequently, the company anticipates significant financial gains, with even small efficiency improvements translating into substantial savings at this scale.

Written by urgent.news from PYMNTS's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at pymnts.com →

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You are picking a model for a feature that is about to ship. The provider pages give you a price per million tokens. Your product manager asks what the monthly bill will be. You do not have a good answer, because the price you were given is denominated in a unit nobody in the room thinks in.

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