JiT Maintenance with xAI
Harnessing IoT Data and Explainable AI for Just-in-Time Maintenance
JiT Maintenance with xAI is a predictive maintenance platform built for industries where downtime is costly. It uses IoT sensor data and machine learning models to predict failures before they happen, and Explainable AI (xAI) ensures transparency in recommendations.
The system reduces unplanned downtime, lowers maintenance costs, and improves machine reliability by enabling proactive servicing instead of reactive repairs.
Product Overview
Real-time IoT streams feed into anomaly detection and predictive models, alerting maintenance teams with actionable insights. Unlike black-box AI, xAI explains why a failure is predicted, enabling trust and faster decision-making on the factory floor.
- IoT Sensor Integration (temperature, vibration, pressure, etc.)
- Machine Learning for Anomaly Detection
- Explainable AI (xAI) for Transparent Predictions
- Real-Time Alerts & Maintenance Scheduling
- Historical Data Analysis & Root Cause Insights
- Dashboard for Technicians & Managers
System Screenshots
From IoT dashboards to SHAP-based explainability reports, JiT provides insights that maintenance teams can act on instantly.
Predict. Prevent. Perform Better with JiT xAI.
