Streamlining Product Data for an Automotive Technology Company

Executive Summary

A global automotive technology company with 27+ brands sought to modernize its product data management by implementing an enterprise-wide Product Master solution. The goal was to eliminate redundant SKUs, streamline e-commerce integrations, and enable real-time visibility into product data. The client also aimed to create a centralized product hierarchy and improve data governance to reduce inefficiencies and improve cross-brand operations.

To achieve this, Factspan deployed a scalable, microservices-based MDM solution powered by Reltio MDM. The system standardized product hierarchies, enabled AI-driven data enrichment, and integrated seamlessly with e-commerce platforms. This approach helped the company reduce operational costs, improve product data reliability, and ensure accurate customer interactions across its brands.

About the Client

The client is a leading automotive technology company operating across the U.S., Europe, and Asia. With over 50,000 products and SKUs, managing product data efficiently was critical to optimizing sales and operations.

Business Challenge

The company faced inefficiencies in managing product information across its 27+ brands, each with its own unique product lifecycle and customer IDs. Legacy systems and resistance to change further complicated data standardization efforts. To address these issues, the company sought a centralized Product Master solution.

Our Solution

To address fragmented product data and redundant SKUs, Factspan deployed a scalable, microservices-based MDM solution using Reltio MDM, enabling centralized product data management while maintaining brand-specific nuances.

• Standardized Product Hierarchy & SKU Rationalization: The solution established a unified product taxonomy, aligning 27+ brands’ individual product lifecycle processes under a common framework. It applied automated SKU classification, duplicate detection, and redundant product flagging, reducing revenue loss due to non-selling and redundant SKUs.
  
• AI-Powered Data Enrichment & Workflow Automation: Factspan integrated AI-driven data enrichment models to cleanse and categorize 50K+ products and SKUs across brands. Automated workflows streamlined new product introduction, lifecycle management, and archival processes, reducing manual interventions and data inconsistencies.
  
• Seamless E-Commerce & Operational Integration: The MDM system was built to support real-time synchronization with e-commerce, CRM, and order management platforms, ensuring accurate product availability, pricing, and catalog updates. A scalable API management layer facilitated seamless data exchange, enhancing operational agility and improving cross-brand sales performance.

By implementing Reltio MDM, the client achieved improved product visibility, operational efficiency, and revenue growth.

Business Impact:

• 30% reduction in redundant SKUs, optimizing inventory management
• Real-time product data access across 27+ brands, improving sales efficiency
• Enhanced customer experience with accurate product information across all channels
• Increased revenue through streamlined e-commerce operations