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Scalable E-commerce Platform for Automotive Parts Distribution

plavno.io

Automotive

eCommerce

Challenges in Managing Large-Scale Parts Catalog and Dealer Network

As official distributor of Daimler AG, the client required a solution to manage a 1+ million item catalog while ensuring operational continuity, integrating with existing systems, and supporting future expansion across multiple dealerships.

About the Client

Automotive manufacturer and official distributor of Daimler AG seeking digital transformation in parts distribution

Objectives for Enhanced Operational Efficiency and Dealer Integration

Streamline order processing through automated workflows
Enable real-time product catalog updates across all dealers
Implement scalable integration architecture for ERP/CMS systems
Reduce order fulfillment time by 50%
Improve customer satisfaction through personalized experiences

Core Functional Requirements for Automotive Parts E-commerce

Effortless order placement with CRM integration
Personalized user accounts with order history and favorites
Advanced product search with analog identification
AI-powered product recommendation engine
Multi-dealer inventory synchronization

Technology Stack Requirements

React/Vue.js frontend frameworks

Node.js backend

REST API architecture

CMS X4 for catalog management

GraphQL for data querying

Critical System Integrations

ERP system integration (SAP/Dynamics)
CRM platform connection
Third-party accounting solutions
Inventory management systems

Non-Functional Requirements

Support for 1M+ product SKUs with sub-second search
99.9% API uptime SLA
Horizontal scalability for future growth
Agile development methodology with bi-weekly sprints
Role-based access control (RBAC)

Expected Business Impact of Scalable E-commerce Implementation

Anticipated 40% revenue increase through improved operational efficiency, 60% reduction in catalog management overhead, and 30% faster order fulfillment cycles. The solution should enable seamless scalability for future dealer network expansion while maintaining 100% catalog accuracy.