Predictive Maintenance Intelligence

Real-time vehicle health monitoring and predictive maintenance optimization

8:23:36 pm

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Fleet Size: 10,000+ vehicles | Last updated: 24/7/2025, 8:23:36 pm

Total Cost Savings

₹8.55L

This month

+47% vs last month

Vehicles Due Service

Next 7 days

3 critical

High Risk Vehicles

Immediate attention

1 overdue

Prevented Breakdowns

This month

89% accuracy

Performance Metrics

+89%

Prediction Accuracy

Target: +92%

+35%

Cost Reduction

Target: +40%

+97.2%

Fleet Uptime

Target: +98.5%

-63%

Emergency Repairs

Target: -70%

Vehicle Maintenance Status

Vehicle	Current KM	Service Status	KM to Service	Risk Level	Risk Score	Est. Cost	Location
T KA-01-HH-1234 Tata LPT 1618	52,000 km Since service: 7,000 km	UPCOMING	3000 km	MEDIUM	65/100	₹15,000	Bangalore North
M KA-03-MM-5678 Mahindra Bolero Pickup	47,000 km Since service: 9,000 km	OVERDUE	2000 km overdue	HIGH	85/100	₹12,000	Electronic City
M KA-05-AA-9012 Maruti Eeco	35,000 km Since service: 3,000 km	GOOD	5000 km	LOW	25/100	₹8,000	Whitefield
A KA-07-BB-3456 Ashok Leyland Dost	46,500 km Since service: 5,500 km	UPCOMING	3500 km	MEDIUM	55/100	₹18,000	Koramangala
F KA-09-CC-7890 Force Traveller	31,500 km Since service: 3,500 km	GOOD	3500 km	LOW	30/100	₹14,000	HSR Layout

Maintenance Cost Trends & Savings

Fleet Risk Distribution

Cost Savings Breakdown

Prevented Breakdowns

₹285K

15 vehicles flagged before failure. Average breakdown cost ₹45K vs preventive ₹26K = ₹19K saved per vehicle

15 vehicles impacted

Optimized Service Intervals

₹125K

45 vehicles had service intervals safely extended by 10-15% based on actual wear data

45 vehicles impacted

Reduced Downtime

₹350K

30 vehicles avoided 2.5 days average downtime through proactive maintenance scheduling

30 vehicles impacted

Parts Inventory Optimization

₹95K

60 vehicles benefited from predictive parts ordering, avoiding 30% emergency procurement premium

60 vehicles impacted

Immediate Action Items

KA-03-MM-5678 is 2,000 km overdue for service

CRITICAL

High breakdown risk (85/100) - Schedule immediate maintenance

Predicted failure within 3-5 days • Estimated cost: ₹12,000

12 vehicles require service within 7 days

UPCOMING

Schedule maintenance to avoid service rush and optimize workshop capacity

Estimated total cost: ₹1.8L • Recommended: Schedule 4 vehicles per day

Predictive maintenance saved ₹8.55L this month

SUCCESS

47% reduction in unplanned maintenance costs through AI-powered predictions

15 breakdowns prevented • 89% prediction accuracy achieved

Fleet optimization recommendations ready

OPPORTUNITY

Route optimization and load balancing could save additional ₹2.1L monthly

45 vehicles eligible for optimization • ROI: 340% in 6 months

Business Impact Summary

₹8.6L

Monthly Cost Savings

47% reduction achieved

89%

Prediction Accuracy

Target: 92% by Q4

97.2%

Fleet Uptime

Target: 98.5% by Q4

Transforming reactive maintenance into predictive intelligence for ₹180 Cr fleet operations

ROI Calculator

Traditional Maintenance (Monthly)

Planned Maintenance:₹12.5 Cr

Emergency Repairs:₹2.5 Cr

Total Cost:₹15 Cr

With Predictive Intelligence

Optimized Maintenance:₹9.8 Cr

Platform Cost:₹1.65 Cr

Total Cost:₹11.45 Cr

Ready to Transform Fleet Maintenance?

Contact: ankur@tracknerd.io