A leading global maker of medical devices had an ERP in place but did not have a formal plant planning and scheduling system to optimize detailed production workorders across a key plant. The planners relied on spreadsheets in a disjointed way to try to plan through and across plants. Without an intelligent planning and scheduling …
Agent EyeQ detects, diagnoses, predicts, and acts, powering autonomous and semi-autonomous manufacturing operations Holmdel, NJ — August 10, 2026 —Eyelit Technologies (Eyelit), a leader in optimized planning, scheduling, and execution systems for manufacturers, today announces Agent EyeQ, debuting in its 10.1 release. Agent EyeQ exposes more than 1,700 executable operations as tools across Eyelit’s manufacturing operations management (MOM) portfolio, spanning SIOP, APS, MES, QMS, SPC, Predictive Analytics …
Ask any production planner how often their schedule survives a full week untouched, and you’ll get a knowing laugh. In discrete and process manufacturing, replanning isn’t the exception. It’s the rhythm of the job. The question worth asking isn’t how do we stop replanning. It’s why does it keep happening, and is our planning stack actually built to handle it? Where APS Fits, and Why It’s Not ERP …
Key advancements include Agentic AI, prescriptive inference, transparent forecasting, and end-user configurability Holmdel, NJ — July 2026 — Eyelit Technologies (Eyelit), a leader in optimized planning, scheduling, and execution systems for manufacturers, today announced the release of Eyelit Version 10.1 which highlights Agentic AI, Demand Planning and advancements across the fully integrated manufacturing operations management (MOM) applications suite. Built for discrete manufacturers …
Version 10.1 is the most significant release in Eyelit’s history bringing agentic AI, a reimagined demand planning platform, deeper execution intelligence, and hundreds of enhancements across MES, APS, and supply chain planning. Here is what’s new. Demand Planning Version 10.1 is a ground-up rearchitecting of demand planning for the AI era. The capabilities below represent …
There is a lot of discussion right now about the role of large language models (LLMs) in manufacturing. The excitement is understandable. LLMs like those powering ChatGPT or Gemini can reason through complex, multi-step problems, generate code, summarize documents, and respond to natural language queries across a wide range of topics. For many business functions, …
Optimizing a modern-day manufacturing facility is a complex task. Manufacturers face an overwhelming array of conflicting demands, including reducing stock, improving lead times, increasing asset utilization and lowering overtime, all while cutting costs. This seemingly impossible challenge is further complicated by harsh constraints such as the availability of skilled labor, machine breakdowns, demand volatility and unreliable supply chains.
As supply chains continue to grow ever more complex, advanced planning and scheduling systems have evolved to enable their optimization, says Ashok Erramilli, general manager of Eyelit Technologies.
Leading provider of industry-specific planning and scheduling solutions earns recognition for innovation in autonomous planning and execution-aligned decision-making HOLMDEL, N.J. – March 26, 2026 – Eyelit Technologies (Eyelit), a leader in optimized planning, scheduling, and execution systems for manufacturers, has been recognized as a Niche Player in the 2026 Gartner® Magic Quadrant™ for Supply Chain …
SPOC Automation leveraged Eyelit’s integrated planning and execution solution to gain long-term strategic visibility while delivering immediate operational improvements. Seamless Salesforce integration enhanced efficiency across planning and execution workflows. With clearer daily scheduling and improved decision-making, SPOC achieved stronger alignment between strategic goals and shop-floor execution, driving measurable gains in operational clarity and performance.
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