16%

Reduction in maintenance costs​

20%

Increase in overall fleet performance​

26%

Less accidents​

Technologies Used

AWS-Logo
AWS
postman-logo
Postman
tableau-logo
Tableau
TensorFlow Hub 300
TensorFlow
Client Profile

The client, a prominent GPS real-time fleet tracking and management solutions provider, assists businesses in optimizing operations, cost reduction, and safety enhancement. Their solutions utilize advanced GPS technology, cloud-based predictive maintenance for vehicles, and data analytics to offer real-time operational visibility to businesses. With features such as vehicle tracking, video telematics for monitoring driver behavior, maintenance management, and fuel efficiency tracking, the client strives for innovation, prioritizing customer satisfaction

Business Context

The client faced significant operational complexities due to their diverse fleet comprising various cars of different makes, each serving distinct use cases and generating unique datasets. The influx of complex, real-time vehicle data from partners posed challenges regarding effective reporting and analysis. Fleet managers grappled with overlapping vehicle schedules and maintenance-related breakdowns, adversely affecting their services' reliability. To address these issues, the client recognized the need to enhance their predictive fleet maintenance software with application components designed to improve operational efficiency, prevent maintenance-related disruptions, and ensure seamless fleet performance

challenges

Challenges

Complex real-time vehicle data from various car makes and datasets impacted the fleet’s operational efficiency​


Overlapping vehicle schedules and maintenance issues led to increased downtime and unreliable service​


Lack of proactive measures for preventing maintenance issues hindered operational efficiency​


Solution

Built an AI model analyzing sensor data, maintenance records, and driving patterns for predictive maintenance​ for vehicles


Deployed mobile app for real-time alerts on vehicle maintenance and driver behavior for preventative measures​


Enabled informed decisions on vehicle replacement and maintenance schedules, achieving fleet management​ optimization

solution

Challenges

Complex real-time vehicle data from various car makes and datasets impacted the fleet’s operational efficiency​


Overlapping vehicle schedules and maintenance issues led to increased downtime and unreliable service​


Lack of proactive measures for preventing maintenance issues hindered operational efficiency​​


Solution

Built an AI model analyzing sensor data, maintenance records, and driving patterns for predictive maintenance​ for vehicles


Deployed mobile app for real-time alerts on vehicle maintenance and driver behavior for preventative measures​


Enabled informed decisions on vehicle replacement and maintenance schedules, achieving fleet management​ optimization

Business Impact

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Cost Savings through Predictive Fleet Maintenance

Reduced repair and maintenance costs significantly by scheduling maintenance and repairs proactively, preventing unexpected breakdowns and the associated costly repairs

insights-icon

Enhanced Safety and Driver Satisfaction

Improved the safety of vehicles on the road by preventing mechanical failures, increased driver satisfaction, and reducing risk of accidents with AI-based predictive fleet maintenance software

Optimized Fleet Management

Allowed fleet managers to make well-informed decisions regarding vehicle replacement and maintenance schedules by identifying patterns and trends in vehicle breakdowns

time icon

Real-time Monitoring

Reduced downtime, and enhanced productivity with real-time fleet tracking and monitoring of vehicle data to predict breakdowns in advance

Why Kanerika?

Kanerika is a premier provider of data-driven software solutions and services that facilitate digital transformation. Specializing in Data Integration, Analytics, AI/ML, and Cloud Management, Kanerika prides itself on its expertise in employing cutting-edge technologies and agile methodologies to ensure exceptional outcomes. With a proven track record across various industries, Kanerika maintains rigorous quality standards, backed by ISO 27701 certification, SOC II, and GDPR compliance. As a distinguished partner of Microsoft, AWS, and Informatica, Kanerika’s commitment to innovation and strong partnerships positions it at the forefront of empowering businesses for their growth.

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