Despite having advanced monitoring systems in place, the client—a global specialty chemicals leader—struggled with a persistent gap between data visibility and decision-making clarity. While their plants tracked production and equipment KPIs in real time, the insights were often generic, isolated, and lacked the context needed for timely intervention.

Operators were aware of abnormal readings, but lacked contextual guidance on what those deviations meant, how urgent they were, or whether they warranted intervention. The challenge became even more pronounced in situations where multiple KPIs were trending within acceptable limits, but collectively indicated a brewing anomaly. There was no clear visibility on the direct connection between these early warning signs and the financial impact of ignoring them — whether in lost production, equipment damage, or opportunity cost — issues often went unaddressed until they escalated into costly failures. The client needed a solution that could not only detect complex anomalies earlier, but also overlay them with financial and historical relevance to drive the right response, at the right time.