Asset Management & Maintenance Optimization.

Preventive maintenance follows fixed time- or usage-based schedules regardless of actual equipment condition, often resulting in unnecessary maintenance or missed failures between intervals. Predictive maintenance uses real-time sensor data and machine learning to predict when equipment will actually need service, enabling just-in-time interventions. The U.S. Department of Energy reports that predictive maintenance programs can yield a tenfold return on investment compared to reactive approaches.

MYGO integrates leading industrial IoT platforms including SAP IoT, Microsoft Azure IoT Hub, AWS IoT Core, and Siemens MindSphere with SAP Asset Management. We also connect directly to SCADA systems, historians, and PLC networks through OPC-UA and MQTT protocols. Our integration architecture is designed for real-time data flow with edge processing for latency-sensitive scenarios where millisecond response times matter.

Yes. SAP Asset Manager provides native mobile applications for iOS and Android that support offline-capable work order execution, digital inspection checklists, time confirmation, and photo documentation. Field technicians receive work assignments, record findings, and confirm completions on their devices, with automatic synchronization when connectivity is restored. This is essential for large plant environments where Wi-Fi coverage is inconsistent.

We use reliability-centered maintenance (RCM) methodology to analyze equipment failure modes, criticality, and current maintenance effectiveness. We review existing maintenance plans, identify over-maintained and under-maintained assets, and design optimized strategies that balance cost with reliability targets. This engineering-driven approach typically reduces preventive maintenance tasks by 20–30% while simultaneously improving equipment availability. Less maintenance activity, better outcomes.

Most organizations see measurable ROI within 6 to 12 months, with full payback in 12 to 18 months. Early wins typically come from avoiding 2–3 significant unplanned failures that would have cost hundreds of thousands in emergency repairs and lost production. Sustained value comes from optimized spare parts inventory, reduced overtime labor, extended equipment life, and the ability to plan maintenance during scheduled downtime windows rather than emergency shutdowns.

SAP PM integrates natively with SAP Materials Management (MM) and Production Planning (PP). When a maintenance task requires spare parts, the system checks stock availability and can automatically trigger purchase requisitions or MRP planning runs. MYGO configures criticality-based stocking strategies so safety-critical spare parts are always available while non-critical parts are ordered just-in-time, optimizing inventory investment without risking downtime.