A solution designed to reduce operating cost using optimization and simulation models.
Unique Proposition
Built on an open architecture platform, FleetEdge uses machine learning to generate customized predictive maintenance calendars for optimization.
How does FleetEdge Work?
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Vehicle performance data, driving behaviour, and operating conditions are modeled using machine learning and AI.
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Dashboards are updated in real time for driving behavior, trip reports, emissions, and predictive maintenance calendars.
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Instant messaging framework-based alerts for informed decision making.
Fleet Performance Improvement
Reduce Fuel Consumption
Optimize Vehicle Maintenance
Improve Customer Service
Driving Behaviour Analytics
FleetEdge models real time vehicle and driving data enhancing passenger, driver and vehicle safety through real time alerts and trip analysis.
This can provide the basis for driver performance appraisals and training programs.
Dashboards and driving behaviour alerts
Trip
playback
Trends and recommendations
Advance Driving Behaviour using Machine Learning.
Driving Score : 4.6
- Speeding: 0.6%
- High RPM: 4.3%
- Gear change: 0%
- Hard accelerate: 0.5%
- Hard brake: 0.7%
- Idling: 2.2%
- Sharp turn: 0 times
- Crash: 0 times
- Fatigue driving: 0 times
- Quick lane change: 0 times
Fuel Efficiency Analytics
Real time analytics for reduction in fuel consumption.
Dashboard and consumption related alerts
Trends and recommendations
Trip based fuel efficiency in real time
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25
Fleet Size
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66%
Fleet Utilization
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9.0*
Vehicle Health Index
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4.3
Driver Index
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131,330
Kms Driven
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23,151 Ltr
Fuel Consumed
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2723 H 38 M
Driving Time
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296 H 20 M
Idle Time
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0 H
Man Hours Saved
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0 Ltr
Fuel Saved
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0
Maintenance Saved
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0
Total Savings
Predictive Maintenance
Predictive maintenance calendars in real time with recommendations.
Dashboard and maintenance alerts
Maintenance feedback for reinforced learning.
APIs for OEMs and Tier1s for predictive analytics
