Case Study: Molten Metal Supply Company achieves automated OTIF monitoring and conversational AI analytics with Advaiya

Molten Metal Supply Company achieves 24×7 anomaly detection with Advaiya

The customer, a molten metal supply company, faced significant challenges due to a lack of visibility into its operations. The company struggled with untrustworthy on-time in-full (OTIF) metrics, manual processes for tracking machine metal levels, and siloed data from sensors, weighbridges, and GPS systems. Advaiya was engaged to address these issues and help convert raw operational data into actionable insight.

Advaiya implemented its OPTIMA operational data platform, which unified three disconnected source systems through a 14-step ETL pipeline into a single data model with 11 fact tables. The solution also included a conversational AI analytics tool, the OTIF Bot, allowing users to query data with natural language. This provided the company with automated OTIF monitoring, complete traceability, and 24/7 anomaly detection, removing its dependency on a data analyst for routine insights and making service-failure time visible by machine, cause, and customer.