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Development of a Scalable SaaS Platform for Condition-Based Vehicle Maintenance Services with Multi-System Integration

artelogic.net

Automotive

Information technology

Challenges in Vehicle Maintenance Trust and System Integration

The automotive aftermarket industry faces $60 billion annual losses due to mistrust between vehicle owners and service providers. Current maintenance recommendations are perceived as profit-driven rather than condition-based, leading to customer skepticism. Additionally, existing systems require seamless integration with multiple CRM and warehouse management platforms while migrating from legacy desktop infrastructure to modern cloud architecture.

About the Client

Digital services provider for the vehicle industry, specializing in trust-building solutions between vehicle owners and service providers

Modernization and Integration Goals

Create a scalable SaaS platform for condition-based vehicle maintenance tracking
Develop middleware integration layer for CRM/WMS system connectivity
Migrate from desktop to cloud-based architecture with thin client functionality
Implement automated service recommendation engine using vehicle usage data
Reduce client onboarding and support time by 40%

Core System Capabilities

Smart service recommendation engine analyzing vehicle condition data
Integration layer for CRM/WMS systems (e.g., Salesforce, SAP, Epicor)
Cloud-native SaaS architecture with multi-tenancy support
Automated reporting system for service history and recommendations
Customizable branding and marketing automation tools
Vehicle-specific usage tracking for accurate service scheduling

Technology Stack Requirements

JavaScript

SQL

CMS

Cloud infrastructure (AWS/Azure)

API-first architecture

Microservices framework

Third-Party System Integrations

CRM platforms (Salesforce, HubSpot)
Warehouse Management Systems (SAP WM, Oracle WMS)
Payment gateways for service transactions
Vehicle diagnostic tools and OBD-II interfaces
Marketing automation platforms

System Performance Criteria

99.9% uptime SLA
Support for 10,000+ concurrent users
Data encryption at rest and in transit
Sub-200ms API response times
Automated scaling for traffic spikes
Role-based access control (RBAC)

Expected Business Outcomes

Implementation of this platform is projected to reduce annual industry losses by 15-20% through increased service compliance and trust. The solution will enable service providers to increase customer retention by 30% through personalized recommendations while reducing operational costs by 25% via automated reporting and integration. Cloud migration will decrease IT infrastructure costs by 40% and improve system scalability to support rapid market expansion.