Predictive maintenance cuts unplanned downtime for a manufacturer
Industrial Manufacturer — a manufacturing organisation — engaged Skillikz on predictive maintenance: Sensor-driven models that predict failures before they happen. This case study sets out the business challenge, the AI-led approach we took, the technologies involved and the measurable outcomes delivered over 8 months.
Unplanned equipment failures halted production lines, and time-based maintenance was both wasteful and unreliable.
We built AI-ready data pipelines from machine sensors and predictive models that flag failures early, prioritised by impact.
Unplanned downtime fell 35%, assets last longer, and maintenance shifted from reactive to predictive — paying back within the year.
The AI services behind this outcome
A project like this draws on a focused set of Skillikz services — from first assessment to a working pilot and a clear path to scale.