Fracttal

Analyzes real-time IoT sensor data from equipment to identify failure patterns and predict breakdowns weeks in advance. Uses machine learning models trained on historical equipment performance to surface risk scores and maintenance recommendations before failures occur.

Enables technicians to create, update, and complete work orders directly from mobile devices in the field. Supports capturing photos, notes, parts usage, and labor time without requiring desktop access or manual data entry after the fact.

Intelligently assigns maintenance work orders to technicians based on skills, availability, location, and workload. Optimizes task distribution to minimize travel time and balance workload across the team.

Analyzes patterns in equipment failures and maintenance data to identify underlying root causes. Correlates failure events with operational conditions, environmental factors, and maintenance history to surface systemic issues.

Generates compliance reports documenting maintenance activities, equipment certifications, and regulatory adherence. Provides audit trails and documentation required for industry standards and regulatory bodies.

Compares maintenance performance metrics against industry benchmarks and best practices. Identifies areas where maintenance operations are underperforming relative to peer organizations and suggests optimization strategies.

Integrates with IoT sensors and equipment telemetry systems to continuously collect and normalize real-time operational data. Handles data from multiple sensor types and equipment manufacturers, converting raw signals into standardized formats for analysis.

Analyzes maintenance spending patterns, emergency vs. planned maintenance ratios, and cost-per-asset metrics to identify optimization opportunities. Provides dashboards showing ROI of predictive maintenance initiatives and cost trends over time.

Manages the complete lifecycle of maintenance work orders from creation through completion, including assignment, scheduling, status tracking, and closure. Supports workflow automation and approval routing for different maintenance types.

Maintains a centralized registry of all equipment and assets with detailed specifications, maintenance history, and lifecycle information. Tracks asset location, condition, and associated work orders for complete asset visibility.

Automatically generates and schedules preventive maintenance tasks based on equipment type, age, usage patterns, and manufacturer recommendations. Distributes maintenance workload across technicians and time periods to optimize resource utilization.

Tracks spare parts inventory levels, usage, and reordering. Integrates with work orders to automatically consume parts when maintenance is completed and alerts when stock falls below minimum thresholds.

Provides visual dashboards displaying real-time equipment status, health scores, and key performance indicators. Aggregates data from sensors, work orders, and maintenance history into intuitive visualizations for quick decision-making.

Maintains detailed records of all maintenance activities performed on each asset, including work performed, parts replaced, technician notes, and photos. Creates a complete audit trail for compliance and troubleshooting.