GE Appliances Deploys 800+ AI Agents Across Manufacturing Operations
GE Appliances has deployed more than 800 AI agents across its manufacturing, logistics, and supply chain operations using Google Cloud's Gemini Enterprise platform. The move shifts the company from manual, reactive problem-solving to real-time, data-driven decision-making on factory floors and in supply chain management.
Mandar Deo, vice president of Digital Technology at GE Appliances, said the company is using Gemini Enterprise Agent Platform and the low-code Gemini Enterprise app to accelerate AI adoption across its workforce. The platform allows everyday employees to build and run AI agents without specialized data science training.
Factory Floor Changes
GE Appliances embedded Gemini Enterprise into its Brilliant Factory platform, which tracks production performance, part genealogy, and workforce activity across manufacturing lines, shifts, and plants.
The results are measurable. AI agents now analyze shift data in minutes instead of hours, allowing teams to identify root causes of production problems faster. Factory workers can ask questions directly to production data systems without requesting support from data specialists. Live monitoring of line yields and equipment health has reduced downtime across operations.
Supply Chain and Quality Improvements
GE Appliances built a Quality Insights AI tool to identify visual patterns in customer feedback and product defects. Marcia Brey, vice president of Logistics, said the shift from manual review to AI-assisted analysis has uncovered millions of dollars in improvement opportunities.
The company manages a network of more than 700 service parts suppliers and ships approximately 27 million parts and accessories annually while maintaining availability for at least seven years after production ends.
In 2025, GE Appliances introduced a Supplier Collaboration Agent to manage communication with over 600 suppliers. The agent automated order status inquiries and reduced backorders by 25%, freeing the team to focus on strategic growth work.
What This Means for Operations Leaders
The deployment shows how large-scale manufacturing can integrate AI agents into existing systems without replacing workers. Instead of centralizing AI expertise, GE Appliances distributed agent-building capabilities across teams closest to the actual work.
For operations professionals, the approach offers a model: identify repetitive information-gathering tasks (shift summaries, supplier status checks, quality pattern analysis) and let AI agents handle them. This frees staff for higher-value decisions.
Learn more about AI Agents & Automation or explore an AI Learning Path for Operations Managers to understand how these tools apply to your operations.
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