An independent ontology-based analysis of the sportsdirect.com product catalogue. 10 structural issues identified across taxonomy, naming, inventory linkage, and brand compliance — each with a quantified revenue consequence.
Fixing the 10 issues above is a one-time intervention. The more valuable proposition is preventing recurrence — catching violations at the moment of product ingestion rather than months after they've damaged rankings and inventory accuracy.
CatalogueScore's engine builds a full RDF knowledge graph from product data — converting every product, category, brand, and attribute into a structured ontology. It then runs SHACL (Shapes Constraint Language) validation rules against the graph to identify structural violations, computes graph metrics to detect redundancy and duplicate clusters, and passes findings to an AI enrichment layer that translates violations into plain-English business impacts.
The result is a prioritised, commercially quantified issue list — not a generic data quality report, but a specific fix roadmap mapped to estimated revenue recovery.
All we need is your Google Merchant Center product feed — the same CSV your PPC team already exports weekly. No custom data pull. No IT involvement. No commercially sensitive information. Preliminary findings within 24 hours.