Even with significant investments in preventive maintenance, equipment failures are notoriously hard to predict, especially across multiple remote facilities with legacy systems.

These failures can lead to missed delivery deadlines, stockouts, and damaged client relationships.

The tension lies in the balance between maximizing equipment uptime and the escalating costs and complexity of truly proactive monitoring across multi-nodal supply chains.

Stakeholders need reliability, but lack holistic visibility in near-real-time.

The core challenge is the fragmentation of monitoring data, the absence of real-time integration between maintenance systems and supply chain operations, and limited deployment of digital twins or IoT across aging infrastructure.

This creates a reactive environment rather than a predictive and coordinated one.