Case Study: Fortune 500 American Multinational Automaker achieves real-time predictive maintenance and 5X faster delivery with Gathr

Pre-emptive fault detection solution for a multinational automaker

A Fortune 500 American Multinational Automaker needed a real-time predictive maintenance solution to forecast faults in auto parts and ensure fault-free production despite challenges from disparate data sources and formats, massive event volumes, and poor data quality. The automaker deployed Gathr’s cloud-native, no-code data pipeline platform to collect and unify IoT sensor, log, maintenance, and quality data for predictive analytics.

Gathr delivered an end-to-end solution using out-of-the-box drag-and-drop operators to ingest, cleanse, transform and score data (integrating with SageMaker), trigger real-time alerts, and provide a single-pane monitoring dashboard. The Gathr solution connected multiple discrete sources, automated data quality and model lifecycle management, enabled real-time tool-replacement notifications, and shortened delivery timelines by 5X—driving data-driven decisions and more reliable production.