Eyelit MES Integrations

Eyelit Technologies builds an AI-powered suite of Manufacturing Operations Management (MOM) software for regulated discrete manufacturers, including semiconductor, electronics, automotive, industrial, medical device, and aerospace & defense companies managing complex, multi-factory production. The suite is made up of four integrated solutions. Eyelit SIOP (Sales, Inventory, and Operations Planning) aligns demand with supply through AI-powered forecasting and scenario modeling, supporting both S&OP and S&OE so strategic plans carry through into daily operations, with Multi-Echelon Inventory Optimization (MEIO) to reduce inventory costs across sites. Eyelit APS (Advanced Planning and Scheduling) uses AI and optimization algorithms to generate efficient, real-time production schedules. It integrates with existing ERP and MES systems, handles complex constraints and dynamic resource allocation, and lets teams run scenario analysis to respond quickly when demand or supply shifts. Eyelit MES (Manufacturing Execution System) is a cloud and AI-native platform for shop-floor execution, delivering predictive insights into production performance along with composable, no-code workflows and a human-centric interface designed to reduce errors and shorten learning curves. Agent EyeQ extends the suite into a full-scale MOM/MES agentic architecture, with electronic employees carrying out planning, scheduling, execution, prediction, analytics, and decision support, connected to the plant floor through its Factory Connect/Equipment Connect IT/OT middleware.

Eyelit SIOP is a unified planning and execution platform designed for manufacturers managing complex supply chains, configured products, and multi-plant operations. The solution brings long-range sales and operations planning together with sales and operations execution in one model, reducing the gaps created by disconnected S&OP, S&OE, demand planning, and factory scheduling systems. Eyelit SIOP helps manufacturers manage demand, supply, capacity, inventory, replenishment, materials, and production commitments with constrained optimization. Its demand planning capabilities combine statistical models, sales insights, customer demand signals, market intelligence, distributor sell-through visibility, and machine learning-based weighting. Supply chain planning evaluates feasible manufacturing, distribution, replenishment, capacity, and material alternatives to generate optimized plans based on business objectives and constraints. Inventory planning uses multi-echelon inventory optimization to set safety stock targets across raw materials, WIP, sub-assemblies, finished goods, and distributor inventory. Attribute-based planning supports customer-specific requirements such as product specifications, approved suppliers, quality grades, country-of-origin rules, regulatory certifications, and acceptable alternative configurations. AI-driven ATP and CTP help create more accurate, constraint-aware order commitments, while Agent EyeQ supports schedule health monitoring, exception management, capacity alerts, and what-if automation. By combining S&OP, S&OE, demand planning, supply chain optimization, inventory planning, attribute-based planning, AI agents, and execution visibility, Eyelit SIOP helps complex manufacturers improve commitments and operational performance.