Cutting Unplanned Downtime by 62% with Predictive Maintenance
A regional precision engineering firm was losing SGD 800K per month to unplanned equipment failures. We deployed an IoT sensor pipeline and ML-based failure prediction model that flagged issues 72 hours ahead of breakdown.