Eyelit Integrations

Eyelit MES is a manufacturing execution system built to digitize production, improve factory visibility, and support complex manufacturing operations. The platform helps manufacturers plan, execute, and optimize operations across the factory while supporting Industry 4.0 initiatives. Eyelit MES connects production workflows, data capture, quality processes, labor, equipment, inventory, materials, and compliance into one scalable execution platform. Its process definition tools allow teams to configure complex manufacturing flows with parallel and conditional logic through a graphical interface without coding. Advanced Planning and Scheduling helps create realistic production schedules using constraints such as labor, machines, materials, logistics, business priorities, and soft constraints. Paperless production capabilities include electronic work lists, digital work instructions, live dashboards, alerts, and real-time production status visibility. Asset performance management supports OEE tracking, downtime analysis, machine data acquisition, tool management, maintenance activities, and bottleneck identification. Quality and compliance features include SPC, non-conformance management, CAPA, document management, track-and-trace, validated change control, electronic signatures, electronic records, and blockchain-supported electronic controlled history records. By combining MES, MOM, APS, paperless production, compliance management, labor tracking, inventory traceability, asset performance, and analytics, Eyelit MES helps manufacturers improve productivity, quality, visibility, and operational control.

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.