Conventional maintenance relies on fixed intervals or reacting to failures. Predictive systems use real-time condition monitoring, sensor alerts, and telemetry to align servicing with actual operating needs. This minimises downtime, reduces repair costs, and extends equipment life by addressing issues before they become failures.

Spares procurement is often reactive, leading to delays, excess stock, or costly emergency orders. By linking inventory levels with predictive maintenance schedules, mines can forecast demand, optimise stock levels, and benchmark supplier performance. This ensures critical parts are always available when required, without tying up capital unnecessarily.

Safety and compliance records are often scattered across multiple reporting systems. Integrating workforce, equipment, and process safety data into one auditable framework makes compliance continuous and verifiable. Instead of preparing records only when audits loom, mines can demonstrate adherence in real time, strengthening both regulatory confidence and operational integrity.