Part 8/15:
Harshvardhan stresses the importance of finding the "needle in the haystack"—detecting critical bottlenecks that impede throughput or cause quality deviations. Using a combination of time series analysis, machine learning models, and real-time logs, the company pinpoints precisely where the process is failing or slowing.
By framing these issues as root cause analysis problems, Apollo discovers if a certain machine or process step causes delays, and then takes immediate corrective actions—like adjusting machine parameters or scheduling maintenance—thus minimizing downtime.