Digital Maturity Level Required to Integrate MAGNETO AI APS into a Factory?

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.

2️⃣ Operational Digitalization

• It’s sufficient if production planning is currently managed via Excel, ERP, or manual systems.

• Still, having digital access to work orders, downtime, or quality data significantly accelerates integration.

3️⃣ Basic Integration Infrastructure

• The ERP system (e.g., SAP, IFS, Logo, Netsis, etc.) should allow data exchange through API, web services, or SQL connections.

• If MES or production monitoring systems exist, they can provide real-time data flow to MAGNETO.

4️⃣ Data Accuracy and Consistency

• Planning-related data (workstation cycle times, tool change durations, material details, etc.) should be accurate, up-to-date, and systematically maintained.

5️⃣ Organization Open to Digital Transformation

• A collaborative culture between planning, production, maintenance, and IT teams that supports data sharing and digital workflows.

In Summary:
MAGNETO AI APS can be quickly deployed in factories with a digital maturity level of 40% or higher — typically those already using ERP systems and tracking production data digitally.
For more manual operations, the integration can be achieved progressively by building up digitalization and data collection infrastructure.