SWITCH Mining unifies ore handling and processing operations into a single, intelligent platform that improves material visibility, enhances processing efficiency, and enables continuous optimisation across your milling and processing plant.
Ore handling and processing operations suffer from fragmented data, inconsistent material tracking, and limited real-time visibility across crushing, milling, and laboratory workflows. Variability in ore characteristics, plant performance, and sampling accuracy creates bottlenecks, reduces recovery, and forces operators to rely on lagging indicators and manual interventions.
SWITCH Mining delivers a fully integrated ore handling and processing intelligence platform that connects plant systems, material data, and laboratory results into a single, right-time operational view. By combining automated material tracking, advanced analytics, and process optimisation, SWITCH Mining enables sites to stabilise plant performance, improve recovery, and reduce operational variability.
Utilisation, downtime, and throughput to identify delays and inefficiencies.
Gold poured, bar counts, rework rates, and fineness metrics to ensure transparency and accuracy in final metal outputs.
Improve recovery, reduce losses, and align results with financial expectations.
Identify overdue or delayed samples, their causes, and operational risk.
Provide a clear overview of crushing, milling, leaching, and elution performance by shift. Track throughput, recovery rates, downtime, reagent use, and chemical stability—giving supervisors timely insights for effective handover and issue response.
Gain clear insight into how effectively coal is being processed and recovered, breaking down feed inputs, product types, moisture, ash, sulphur, and reject tonnages—including rewash rates—helping sites improve recovery, reduce losses, and align results with financial expectations.
Track test volumes, turnaround times, and throughput by sample type and day. Highlight completed, pending, and delayed samples, helping teams spot bottlenecks and adjust priorities to maintain production support.
