Compare Eyelit APS vs. Eyelit SIOP

Eyelit APS is an advanced planning and scheduling solution that helps regulated discrete manufacturers turn plans into efficient, achievable production schedules. Rather than relying on static spreadsheets that fall out of date the moment conditions change, Eyelit APS uses AI and patented optimization algorithms to generate real-time schedules that reflect what's actually happening on the shop floor. The platform integrates seamlessly with existing ERP and MES systems, giving planners and schedulers a single, unified view of operations instead of reconciling data across disconnected systems, so schedules are built on current, accurate information about orders, materials, labor, and equipment. Eyelit APS supports complex constraint handling, so schedules account for real limitations — machine capacity, tooling changeovers, labor availability, material lead times — without requiring planners to manually work around them. Dynamic resource allocation adjusts assignments as conditions shift, and built-in scenario analysis lets teams model the impact of a rush order, supply delay, or downed machine before committing to a plan. This combination allows manufacturers to respond swiftly when demand or supply conditions change, rather than scrambling to manually rebuild schedules under pressure, keeping the planning process aligned with the realities of modern production. By optimizing how production is sequenced and resourced, Eyelit APS enhances throughput, reduces lead times, and improves on-time delivery for manufacturers looking to get more from existing capacity.

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.