Automating a Car Repair Center for a Bus Transportation Company

A legacy process modernization in a car maintenance service has ensured real-time tracking, reporting, and workflow automation.

Automating a Car Repair Center for a Bus Transportation Company

About the client

A nationwide bus transportation company has received a tailored solution to automate its maintenance and operational processes.

About

the Product:

The client was looking for a comprehensive digital solution to replace lagging manual processes in their centralized fleet maintenance and repair management platform designed specifically for bus transportation operations.

To facilitate internal workflows, data collection, and real-time reporting, we built a maintenance management app that fully integrates with existing corporate systems. As a result, we have shifted paper-based inefficiencies toward modernized and automated maintenance tracking, and the platform was deeply integrated with the client’s internal systems.

Introduction:

Our customer, a significant public transportation company with a fleet of more than 600 buses, was dealing with increasing maintenance management difficulties. For years (until 2019), the client’s maintenance operations relied almost entirely on paper documentation and several disconnected automation tools that lacked scalability and interoperability.

This way repair requests, technician approvals, spare parts tracking, and maintenance histories were processed manually, creating operational bottlenecks across the organization. As a result, the transportation company faced the following challenges:

  • delayed maintenance approvals
  • inconsistent maintenance records
  • limited visibility into vehicle health
  • growing maintenance costs

The lack of centralized operational intelligence made it difficult to optimize fleet utilization, monitor technician efficiency, or identify recurring vehicle failures. Several off-the-shelf maintenance systems were evaluated but failed to support the client’s operational complexity, integration requirements, and large-scale fleet processes.

The company partnered with Devox Software to modernize its maintenance ecosystem through a custom-built fleet maintenance automation platform tailored to transportation operations.

Project

Team:

The team included a full-stack developer, a QA and a tester, a database expert, and a DevOps engineer.

Challenges:

The entire maintenance procedure was done on paper and with several untuned automation apps, leading to inefficient operations and many errors. The most serious insufficiencies included the following:

  • Manual Maintenance Workflows. Maintenance operations depended on paper forms, physical approvals, and manually updated spreadsheets. Repair requests often moved slowly between dispatchers, workshop managers, and technicians, significantly increasing service turnaround times.
  • Fragmented Maintenance Data. Maintenance histories, inspection records, spare parts usage, and repair logs were distributed and sometimes lost across multiple disconnected systems and archives.
  • Limited Fleet Visibility. Supervisors lacked real-time visibility into vehicle maintenance status, active repair queues, spare parts availability, technician workloads, and recurring vehicle failures. As a result, operational decisions were reactive and lacked accuracy.
  • Increasing Downtime Risks. The lack of centralized maintenance intelligence increased the risk of prolonged vehicle downtime and delayed repairs.

Tech

Stack:

Layer Before Modernization After Modernization
Backend Stack ASP.NET MVC 5, .NET Framework 4.6/4.7, legacy WinForms administrative utilities .NET 8, ASP.NET Core, C# 12, EF Core
Frontend jQuery, Bootstrap 3, desktop-only interfaces React.js / Angular 17 / Blazor, TypeScript, Bootstrap 5
Real-Time Communication No real-time communication layer SignalR Core
Background Processing Windows Task Scheduler, manual cron jobs, SQL Agent jobs Hangfire
Data Storage Microsoft Access databases, Excel files, and fragmented SQL Server 2008/2012 instances Microsoft SQL Server 2022 centralized repository
Integration Layer CSV imports/exports, FTP file exchanges, manual synchronization REST APIs, JSON APIs, gRPC integrations
Authentication & Access Active Directory groups, local IIS authentication IdentityServer, Azure AD, OpenID Connect
Infrastructure Windows Server 2012 R2, IIS on-premise VMs Docker, Kubernetes, IIS, Terraform, Pulumi
Deployment Process Manual deployments via RDP and IIS publishing CI/CD-ready containerized deployment workflows
Monitoring & Logging Windows Event Viewer, IIS logs Serilog, Seq, ELK Stack, Grafana, Prometheus, Datadog

Solution:

Devox Software delivered a fully centralized fleet maintenance automation platform designed specifically for large-scale transportation operations. The modernization initiative focused not only on digitization but also on operational visibility, workflow orchestration, and future predictive maintenance readiness.

Maintenance Workflow Automation

We transformed the client’s legacy repair workflows into structured digital processes spanning maintenance requests, repair approvals, technician assignments, inspection tracking, spare parts management, and repair completion workflows, all reinforced with KPIs (vehicle uptime, MTTR, and more).

Real-time workflow tracking allowed supervisors to monitor repair progress across workshops and prioritize critical vehicle servicing operations.

Centralized Fleet Maintenance Database

A centralized maintenance repository was developed to consolidate all crucial information about fleet health, such as repair histories, inspection records, vehicle incidents, spare parts consumption, and more.

Additionally, role-based access controls ensured secure operational governance while improving data consistency across departments. The centralized architecture also improved audit readiness and compliance traceability.

Real-Time Operational Dashboards

We implemented operational dashboards that provided live visibility into fleet maintenance KPIs, including vehicle availability, maintenance backlog, spare parts inventory, and technician performance. The platform enabled managers to identify bottlenecks faster and optimize workshop capacity planning.

Predictive Maintenance Readiness

Although the initial implementation focused primarily on preventive and scheduled maintenance, the platform architecture was intentionally designed to support predictive maintenance expansion. The solution established structured maintenance data pipelines that could later support AI-driven failure prediction, anomaly detection, and condition-based servicing.

Consolidating historical maintenance and operational data, the organization created the foundation for future predictive maintenance initiatives and digital twin integrations.

Enterprise System Integration

The platform was integrated with the client’s existing operational ecosystem to ensure uninterrupted data synchronization across departments. The integration layer eliminated duplicate data entry and improved operational consistency across the organization.

Results:

The modernization initiative delivered measurable operational improvements across maintenance management, reporting efficiency, and fleet operations.

Outcome Business Impact
Workflow Optimization 100% digitized maintenance operations
Reporting cycle duration Reduced from hours to minutes
Maintenance coordination Immediate repair approvals
Vehicle downtime risks 85% less through proactive maintenance planning

Sum Up:

Devox Software helped the client modernize a fragmented and paper-heavy maintenance environment into a centralized fleet maintenance ecosystem capable of supporting large-scale transportation operations.

The automotive software development improved operational transparency, accelerated maintenance workflows, reduced administrative inefficiencies, and established the technological groundwork for predictive maintenance and future AI-driven fleet optimization.

The modernization transformed maintenance operations from reactive manual coordination into a scalable, data-driven operational model built for long-term growth.

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