The Challenge That Broke Traditional Solutions
A major European last-mile logistics company was drowning in customer data chaos. With hundreds of millions of records scattered across multiple systems - from Amazon and eBay integrations to internal databases - their customer service teams couldn't get a single view of who their customers actually were.
The scale was staggering:
-
150 million customer records sourced from multiple retailers
-
Inconsistent data formats and missing information
-
Marketplace integrations with heavily masked email addresses
-
Complex address matching requirements for accurate deliveries
Previous attempts to solve this problem either couldn't handle the scale or sacrificed accuracy for speed. The company needed something different.
The Tilores Solution
Enter Tilores' entity resolution platform, implemented by Pinboard Consulting in just three weeks. The results were immediate and impressive:
Performance That Defied Expectations
-
150 million records processed in just 36 hours
-
99.5% accuracy rate confirmed by comprehensive testing
-
8 milliseconds per record processing time
-
38.1 million golden customer profiles created from deduplicated data
Handling the "Impossible" Data
Initial analysis revealed 377 data quality issues in just 1,000 sample records. Yet Tilores successfully managed:
-
Multiple records for single customers across platforms
-
Heavily masked eBay email addresses
-
Inconsistent address formatting and name variations
-
Complex household relationship mapping
The Secret Weapon: Advanced Matching Intelligence
What made this possible? Tilores' proprietary matching engine combines comprehensive data transformation with sophisticated matching rules. The platform configured:
-
10 advanced matching rules covering all business scenarios
-
10 specialized matchers for different data types
-
Custom ETL pipelines for seamless integration
-
Real-time API endpoints for operational systems
Business Impact Beyond the Numbers
The transformation enabled powerful new capabilities:
-
Enhanced delivery accuracy through improved address matching
-
First-contact resolution with unified customer views
-
Automated fraud detection through pattern recognition
-
Personalized service delivery based on household preferences
But perhaps most importantly, it laid the foundation for future innovation including AI/LLM integration and advanced analytics capabilities.
Why This Implementation Matters
This case study represents more than just impressive numbers - it demonstrates that modern entity resolution can deliver immediate business value while establishing the data foundation for tomorrow's opportunities.
The three-week timeline from deployment to full-scale processing shows how Tilores' no-code interface and pre-built connectors enable rapid implementation without sacrificing sophistication.
Want to see the complete technical details? Access the full case study to discover:
-
Detailed architecture and implementation methodology
-
Comprehensive performance metrics and test results
-
Step-by-step breakdown of the matching rules and algorithms
-
In-depth analysis of data quality challenges and solutions
-
Future-ready capabilities and integration possibilities
Download the full case study pdf
Transform your customer data challenges into strategic advantages. See how Tilores can handle your enterprise-scale entity resolution needs.
