Client: Heavy Machinery Manufacturer
Tools: AWS IoT Analytics, SageMaker, LightGBM, Grafana
Challenge:
Unplanned downtime and reactive maintenance were causing operational and revenue losses.

Solution:

• Deployed edge IoT sensors connected to AWS IoT Core
• Streamed time-series data into AWS IoT Analytics and S3
• Trained LightGBM-based predictive models using equipment telemetry
• Alert dashboards powered via Grafana + SNS notifications

Outcome:
Achieved 87% accuracy in failure prediction. Cut maintenance downtime by 32% and improved spare parts planning.