Data Deduplicator - Master Product Catalogue Foundation

Having accurate product catalogues can go a long way to drive sales, improve experiences and gain competitive advantage. Yet many organisations struggle with duplicate entries, inconsistent data formats and poor data quality that undermines search functionality, recommendation engines and business intelligence capabilities.

DiUS’s Data Deduplicator combines cutting-edge generative AI with proven machine learning techniques to deliver a sophisticated product catalogue deduplication solution. Our multi-modal approach analyses both text and image data to achieve over 90% match accuracy, providing retailers with the clean, structured product data foundation needed for growth and innovation.

Our solution leverages Amazon SageMaker for scalable machine learning model training and Amazon Bedrock for intelligent evaluation processes. A multi-modal approach processes product descriptions, specifications and images simultaneously, identifying duplicates even when data formats vary significantly across different suppliers and sources. This comprehensive analysis ensures higher accuracy than traditional text-only matching systems.

The architecture includes a robust data processing pipeline that handles thousands of daily product additions while maintaining real-time performance. Products are indexed in Amazon OpenSearch for lightning-fast search and retrieval, while automated batch jobs compare new entries against your master catalogue. This prevents duplicate accumulation and maintains data quality as your business scales.

Integration capabilities accommodate diverse data sources including manual entries, web scraping and direct supplier feeds. Our attribute extraction technology normalises variations in product naming conventions, measurements and categorisation systems. The solution adapts to your existing workflows while establishing standardised processes for consistent data quality management across your organisation.

Post-implementation, clients typically see immediate improvements in user engagement metrics, search conversion rates and operational efficiency. The clean data foundation enables advanced features like intelligent auto-complete, personalised recommendations and supplier analytics dashboards. Our knowledge transfer process ensures your team can manage and optimise the system independently, with ongoing support available as needed.