Case Study
2.5% improvement in OEE of machines & automated alerts with ML systems
Sigmoid partnered with a top-three food and beverage company in the USA to develop an automated AI framework that measured, monitored, and enhanced overall equipment effectiveness across production lines. Previously hindered by manual historical data downloads and unsophisticated anomaly detection, the client relied on Sigmoid's advanced software to streamline plant operations and establish a solid data foundation for future use cases. Sigmoid's solution enabled real-time alerting for machine downtime and failures, successfully standardizing best practices while delivering a net positive impact on throughput, labor usage, and utility efficiency.
