Eyelit Integrations

The Eyelit Technologies solution suite, Eyelit SIOP, Eyelit APS, Eyelit MES, and Agent EyeQ, are delivered on a single data platform. Eyelit Technologies provides a single platform and data model covering planning, regulatory record-keeping, and manufacturing management, in place of three separate systems. Eyelit MES provides multi-level tracking and genealogy across serial, lot, batch, kit, and sub-assembly, traceable forward and backward in a single action. Eyelit MES maintains electronic controlled history records (eCHR) in which the customer defines exactly which elements are captured and nothing beyond them, with enforced control over operator skills, tools, documents, work instructions, and material consumption recorded against the history record. Eyelit MES supports Electronic Device History Records (eDHR) for medical device manufacturers under 21 CFR Part 11 and 21 CFR Part 820: electronic records, e-signature requirements, validation documentation, and audit trails. Eyelit MES includes a pre-integrated real-time Statistical Process Control engine that detects process excursions before they affect yield. Eyelit MES and Eyelit APS run a continuous feedback loop: real-time WIP, downtime, and shop-floor changes pass from MES to APS, and updated schedules return to MES.

Eyelit SIOP is a sales, inventory, and operations planning platform built to unify strategic planning and detailed execution for complex discrete manufacturing. The solution combines long-range S&OP with multi-plant S&OE execution in a single model designed for industries such as semiconductor, medical device, automotive, industrial, aerospace and defense, battery, solar, food and beverage, and other complex manufacturing environments. Eyelit SIOP helps manufacturers replace disconnected planning tools, spreadsheets, and scheduling systems with one connected planning foundation. The platform addresses supply chain challenges such as distorted distributor demand signals, unseen channel inventory, outdated S&OP plans, disconnected cross-plant coordination, subcontractor complexity, and slow order promising. Its Sales & Operations Planning capabilities align demand, supply, capacity, and financial plans through constrained optimization and scenario planning. Its Demand Planning capabilities combine statistical forecasting, sales insights, customer demand signals, market intelligence, distributor sell-through visibility, attribute-based forecasting, and machine learning-based input weighting. Its Supply Chain Planning capabilities optimize manufacturing, distribution, replenishment, capacity, and materials across feasible alternatives. Its Inventory Planning capabilities use multi-echelon inventory optimization to set safety stock targets across raw material, WIP, sub-assembly, finished goods, and distributor tiers. Sales & Operations Execution continuously re-plans and re-schedules orders at a detailed level as conditions change throughout the day. Attribute Based Planning supports customer-specific specs, product configurations, supplier approvals, quality grades, regulatory rules, country-of-origin requirements, and acceptable alternatives, while AI-driven ATP and CTP enable more intelligent and buildable commitments.