Maintain fleet uptime before breakdowns disrupt operations
Detect early failure signals, monitor vehicle performance, and enable condition-driven maintenance across distributed fleets in real time.
Applicable across industries and environments
QubiSense Fleet Management is designed for operations where vehicle uptime, route reliability, and asset performance directly impact delivery outcomes and operational efficiency.
Industries
- Logistics and Supply Chain
- Transportation and Mobility Services
- Automotive and EV Fleet Operations
- Field Services and Utilities
- Construction and Infrastructure Projects
- Oil and Gas and Energy Operations
Use Environments
- Fleet uptime and reliability management
- Predictive maintenance and diagnostics
- Route and delivery operations
- Asset utilization and performance tracking
- Distributed fleet monitoring across geographies
Where downtime disrupts operations
In fleet-driven operations, a single vehicle breakdown can ripple across routes, delivery commitments, and operating margins. Traditional maintenance models rely on mileage thresholds or fixed schedules. These approaches fail to account for real-world driving conditions, load variations, and environmental stress, leading to either premature servicing or unexpected breakdowns. The challenge is not the lack of data. Vehicles continuously generate signals. The gap lies in identifying early failure indicators and acting on them before disruption occurs.
QubiSense embeds intelligence directly within vehicles and fleet environments.
Instead of relying on static schedules, it continuously analyzes real-time signals to detect early signs of wear, degradation, and failure, enabling proactive intervention before breakdowns occur.
Trigger
Engine, vibration, or operational parameters deviate from normal patterns
Edge AI identifies early indicators of wear, misfire, or component stress
Predictive alerts are generated and maintenance actions are initiated automatically.
What QubiSense Edge AI actually does
- Processes high-frequency vibration and engine data from onboard sensors and OBD-II systems
- Distinguishes normal wear patterns from early failure indicators
- Generates real-time risk scores for vehicles across the fleet
- Identifies issues such as bearing wear, engine misfires, and alignment drift
- Integrates predictive alerts with WMS, ERP, and fleet management systems
- Automatically triggers maintenance workflows aligned with operational schedules
What happens in real time
Early Alerts
Fleet managers receive warnings of potential failures.
Smart Prioritization
Vehicles are ranked based on real-time condition.
Auto Workorders
Maintenance tasks are generated automatically.
Fleet Visibility
Checklists and triage steps support accurate field decisions.
Reduced Disruptions
Timely actions minimize operational impact.
Proactive Maintenance
Issues are addressed before failures occur.
Operational Flow
CapturesignalsAnalyzepatternsIdentifyriskGeneratealertsInitiatemaintenanceMaintaincontinuity
What this enables
- Reduction in unexpected vehicle downtime
- Improved on-time delivery performance
- Lower emergency repair costs
- Optimized spare parts planning and inventory
- Higher asset utilization across fleets
Act with continuous fleet awareness
Fleet operations do not fail due to a lack of data. They fail when early signals are missed or when they are acted upon too late. By enabling real-time visibility into vehicle health and performance, QubiSense allows organizations to maintain continuity, reduce disruption, and operate with greater predictability.
Improve fleet reliability ↗