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 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.