Decisyon Launches AI-Powered Lean Manufacturing Optimizer to Digitalize and Accelerate Shop Floor Innovation
Decisyon’s Lean Manufacturing Optimizer’s embedded AI agents radically improve speed, accuracy & collaboration across all lean manufacturing initiatives
Decisyon, Inc., a leading provider of AI-powered smart manufacturing solutions, announced the global launch of its Lean Manufacturing Optimizer (DLMO)—a next-generation application that reimagines traditional Short Interval Management (SIM) and Tier Meetings as fully digital, AI-driven workflows. DLMO empowers manufacturing teams to execute faster, smarter, and with greater accountability across the shop floor.
DLMO gives frontline workers the AI-powered tools to act faster, automate execution, and ensure that no improvement opportunity is lost—while dramatically reducing labor costs.”
— Alex Aminian
By embedding AI agents directly into daily operations, DLMO enables real-time, KPI-driven decision-making, reduces manual overhead, and drives measurable improvements in operational efficiency.
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Early deployments across more than 200 manufacturing plants have delivered exceptional results:
• Up to 3-5% improvement in Overall Equipment Effectiveness (OEE) within 90 days
• 70% increase in follow-up and closure of action items
• An average of $100,000 in annual savings per plant by eliminating SIM and Tier meetings’ inefficiencies
“Frontline workers are the engine of continuous improvement, yet too often their insights remain trapped in spreadsheets and whiteboards,” said Alex Aminian, CEO of Decisyon. “DLMO gives them AI-powered tools to act faster, automate execution, and ensure that no improvement opportunity is lost—while dramatically reducing labor costs.”
Built on Decisyon’s LLM-enabled low-code no-code platform, App Composer™, DLMO allows rapid configuration and deployment of smart manufacturing applications that align with plant-specific workflows and corporate standards. It is designed for enterprise scalability, supporting thousands of users across distributed manufacturing environments while maintaining centralized governance.
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