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Cross-asset correlation analysis identifies patterns across your entire fleet. Find hidden relationships between asset failures, environmental conditions, and maintenance history.
Describe what you want in plain English. The AI generates the query, previews the results, and lets you save it as a dashboard widget.
Improved technician matching algorithm now considers skill certification, current workload, location proximity, and shift schedule.
Proactive notifications when an SLA is at risk of breach. Escalation workflows trigger automatically based on remaining resolution time.
Drag-and-drop dashboard builder. Create custom widgets from any Smart Query, pin KPIs, and share views across your team.
Fixed edge case where seasonal demand patterns could trigger premature reorder alerts for low-turnover spare parts.
On-premise predictive maintenance engine now available for Enterprise tier. 7-step prediction pipeline from sensor signal to work order creation.
Complete data isolation between tenants at the database level. Each organization's data is cryptographically separated.
Granular access control at the field level. Define which roles can view, edit, or export specific data fields on any entity.
Calendar-based and meter-based PM scheduling with automatic work order generation, material reservation, and technician assignment.
Asset trees now support unlimited nesting depth. Performance optimized for organizations with 50,000+ assets.
$1.7 trillion lost globally to unplanned downtime every year. NISHRAM gives you the intelligence to act before failures happen.
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