Operational Analytics & Machine Learning

Cravern’s Operational Analytics service identifies untapped performance potential by deeply analysing historical and real-time equipment and process data. We focus on identifying bottlenecks, comparing peak performance against current practices, and mapping optimisation opportunities that influence throughput, recovery, cost, and revenue.

Our analytics are designed to uncover:

• Replicable High Performance – Identify and model past periods of peak performance, then establish the operating tactics and control settings needed to replicate them more consistently.
• Bottleneck & Constraint Analysis – Pinpoint limitations across plant or system performance that restrict overall output and recommend tactical or structural changes to resolve them.
• Tactical vs. Capital Uplift Options – Determine whether improvements should be driven through operational change or capital investment, and estimate the relative uplift from each.

Insights are translated into targeted campaigns or roadmap actions that are easy to implement and track. These analytics activities can be initiated as standalone uplift projects or integrated into a broader site-wide optimisation program.