AI Predictive Maintenance

Machine learning-powered equipment failure prediction and maintenance optimization

0

High Risk Equipment

Immediate attention

0

Medium Risk

Schedule within 30 days

0

Low Risk

Operating normally

₹0L

Projected Savings

vs Reactive Maintenance

Azure OpenAI Predictive Model

Powered by GPT-4.1 & TensorFlow

Our AI model analyzes IoT sensor data, maintenance history, operating hours, and environmental factors to predict equipment failures before they occur. Model accuracy: 94.7%

94.7%
Accuracy
15 days
Avg Lead Time
42%
Cost Reduction

High Risk Equipment - Immediate Action Required

0 Assets

All Equipment Predictions

Asset Hospital Risk Score Failure Probability Predicted Issue Days to Failure Action

Risk Score Trend

Failure Type Distribution

Prediction Factors Analysis

Temperature Anomalies
78% correlation with failures
Vibration Patterns
65% correlation with failures
Operating Hours
52% correlation with failures
Power Fluctuations
45% correlation with failures

Blockchain-Verified Maintenance Records

All maintenance records and AI prediction data are secured using blockchain technology, ensuring tamper-proof audit trails and data integrity compliance with NABH, JCI, and DPDP Act 2023 standards.

NABH Compliant JCI Verified Chain: 0x8a7f...3d2e Last Block: 2 min ago