Global Luxury Retailer Masters Customer Data with Tamr in Real Time
A global luxury retailer uses Tamr's AI-native MDM solution to replace a homegrown deduplication engine and deliver a single, trusted view of its most valuable clients. This transformation lays the foundation for deeper customer relationship intelligence and more personalized engagement with the clients who drive the greatest share of revenue.
Customer Success Highlights:
- Replaced homegrown deduplication engine without disrupting nine downstream systems
- Improved customer matching accuracy by 5–9% over the legacy system
- Prevented duplicates with real-time search-before-create APIs
- Maintained GDPR compliance with incremental, auditable data changes
Customer Success Highlights:
- Replaced homegrown deduplication engine without disrupting nine downstream systems
- Improved customer matching accuracy by 5–9% over the legacy system
- Prevented duplicates with real-time search-before-create APIs
- Maintained GDPR compliance with incremental, auditable data changes
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A global luxury retailer with flagship stores worldwide manages several million customer records across in-store, e-commerce, CRM, loyalty, and clienteling systems. As the business grew, its homegrown deduplication engine couldn't keep up, creating duplicate profiles across channels, distorting revenue metrics, and raising compliance risk. The retailer replaced its legacy system with Tamr's AI-native MDM, without disrupting any of its numerous downstream systems. Within one week of going live, Tamr identified 2,100 potential duplicate records and automatically resolved two-thirds of them, with matching accuracy 5 to 9% higher than the legacy system. Real-time search-before-create APIs now stop duplicates from entering the system in the first place. Today, the retailer has a trusted, unified view of every customer, with every purchase connected to the right individual.