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Frequently Asked Questions

In modern manufacturing, real efficiency begins when data stops living in silos. That’s where MAGNETO AI APS makes the difference. By seamlessly integrating with ERP, MES, and IoT systems, MAGNETO connects every layer of production from order intake to shop floor execution creating a truly synchronized and intelligent factory ecosystem. ✅ ERP Integration: Aligns production planning with real-time order, stock, and delivery data. ✅ MES Integration: Connects directly with machines and operators for live perfo .. Read More

1️⃣ Real-Time and Dynamic Planning ERP systems rely mostly on historical data and provide static planning. MAGNETO AI APS, on the other hand, uses live shop-floor data to re-optimize production plans within seconds. 2️⃣ AI-Powered Decision Intelligence ERP systems require manual decision-making. MAGNETO leverages AI-based optimization algorithms to evaluate constraints like capacity, shifts, materials, and maintenance simultaneously — automatically generating the best possible scenario. 3️⃣ Scenar .. Read More

1️⃣ End-to-End Visibility Order, stock, and customer data from the ERP system are combined with real-time production, machine, and operator data from the MES. Result: The entire production chain becomes visible on a single digital dashboard. 2️⃣ Real-Time and Dynamic Scheduling MAGNETO AI APS continuously updates production plans by synchronizing ERP and MES data. Result: Immediate rescheduling can be done in response to delays, breakdowns, or urgent orders. 3️⃣ Efficiency and Resource Optimization AI al .. Read More

MAGNETO AI APS is designed with a flexible architecture that can adapt to factories at different levels of digital maturity. However, to achieve maximum efficiency, certain foundational digital requirements should be met: 1️⃣ Data Availability An existing ERP, MES, or data collection system (providing production orders, stock levels, work orders, machine status, etc.). Core production data — such as materials, routings, capacities, workstations, and shift schedules — should be regularly updated. .. Read More

The go-live timeline for MAGNETO AI APS depends on the factory’s digital maturity level, integration scope, and production complexity. However, the general implementation process typically follows these stages: 1️⃣ Preparation & Analysis Phase (2–4 Weeks) Current systems (ERP, MES, Excel, or manual processes) are analyzed, data structures are reviewed, and a detailed project plan is created. 2️⃣ Integration & Modeling Phase (4–8 Weeks) Factory production processes are adapted to the MAGNETO model, ERP/MES .. Read More
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