Case Studies

QualityKiosk’s Specialized QE Service for AI-Enabled Fleet Management System

Industry & Segment

Objective

To ensure the reliability, accuracy, and performance of an AI-enabled, cloud-based fleet management system by validating end-to-end operations across applications, data systems, and integrations, enabling seamless fleet visibility, optimized trip execution, and improved operational efficiency.

Engagement Overview

A leading India-based global automobile manufacturer launched a large-scale, cloud and AI-enabled fleet management system for public transport optimization. The automotive giant required an expert quality engineering partner to ensure comprehensive testing of this complex ecosystem.

Using our automotive domain expertise and specialized repositories of test cases, Quality Kiosk delivered a targeted quality engineering workflow across 20+ critical functional modules. This enabled the client to achieve 24/7 fleet visibility, optimize trip coverage, reduce delays, and maximize resource efficiency.

Client Overview

Our client is a prominent India-based global automobile manufacturer with Passenger and Commercial vehicles, leading range of electric vehicles (EVs), and advanced fleet management solutions.

With global operations across manufacturing and sales in the UK, South Korea, Africa, the Middle East, India, and Southeast Asia, they needed a solution to manage large vehicle fleets for efficient daily operations through its new cloud-based, AI-enabled fleet management system.

Business Challenges

Operational optimization

focused on minimizing dispatch delays during peak shift rollouts, implementing intelligent charging slot allocation to prevent conflicts, and enabling seamless mid-shift route exchanges to enhance driver productivity.

Data accuracy & system reliability

required deploying advanced fault detection to ensure only optimal vehicles are deployed, maintaining accurate performance metrics and mileage data, and ensuring comprehensive trip data capture for analytics. Additionally, the system needed to handle peak loads efficiently while preventing cache corruption and building resilience against disruptions such as power outages.

System integration

involved achieving real-time data synchronization between depot systems and route analytics, updating mapping technologies for accurate routing, and enabling comprehensive historical data analysis to derive actionable insights and trends.

Ensure reliable, high-performance fleet operations with QualityKiosk’s specialized Quality Engineering expertise.

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Solution

QualityKiosk implemented a robust, layered Quality Assurance framework to drive end-to-end reliability across the EV ecosystem, covering end-user applications, admin interfaces, charging terminals, and route assignment logic.

By embedding continuous feedback loops through simulation-led testing environments and iterative UAT cycles, the solution enabled early defect detection, accelerated validation, and ensured maximum system stability and performance prior to rollout.

Dashboard Performance Monitoring Framework for large fleet deployments
Multi-Device Data Synchronization Checker for V4/V5 device validation
Driving Behaviour Analytics Tester for Speeding, Harsh Braking & Idling events

Results

98%

map-to-reality accuracy achieved

98%

accuracy in automated incident triggers

97%

charging bay uptime ensured

96%

improvement in missed trip detection

92%

reduction in data mismatch during shift changes

87%

reduction in route logic defects across complex transport hierarchies

<2.5 seconds

real-time sync latency (reduced from 6.2 seconds)

Implementation Approach

Requirements & traceability: We established comprehensive use case mapping with traceability from business requirements to test cases, ensuring complete functional coverage and compliance support.

Test development: Our team developed over 950 test cases mapped to specific system modules, covering normal operations and edge cases while incorporating automotive software testing best practices for safety-critical functions.

Multi-layered validation: We implemented functional, smoke, and sanity testing across all system components, providing multiple quality checkpoints and early issue detection capabilities.

Continuous quality assurance: We conducted 14 rounds of end-to-end regression testing with automation to maintain system stability, and ongoing nightly sync testing on dummy city transit route models.

Production readiness: Thorough data cleanup and sanitization ensured production systems contained only accurate and validated data.

Ongoing support: Root Cause analyses and problem management provide continued system reliability through accelerated issue resolution and knowledge transfer.

If your organization is looking for fleet system reliability to improve your fleet operations, QualityKiosk is here to help with proven automotive QE and domain expertise that eliminates data mismatches and prevents costly downtime.

AUT-COAS-2344