TrustBazaar

With 120,000 new product listings per day, TrustBazaar's manual moderation team could only review 15% of submissions. Counterfeit products, misleading images, and policy-violating listings were eroding buyer trust, leading to a 22% year-over-year increase in chargebacks and a drop in Net Promoter Score from 42 to 29.

Mixpeek's taxonomy enrichment pipeline classifies every listing image and description against a custom policy taxonomy of 340 categories. Suspicious listings are flagged with confidence scores and routed to human reviewers, while clearly compliant or clearly violating items are auto-approved or auto-rejected. The multimodal approach catches image-text mismatches that single-modality systems miss entirely.

TrustBazaar deployed the moderation pipeline in a phased rollout over six weeks. The first phase focused on high-risk categories like electronics and luxury goods. A feedback loop between human reviewers and the taxonomy model improved precision from 87% to 96% within the first quarter. Processing runs on a Celery task queue with Ray-backed inference for burst capacity.