Identify and merge duplicate or near-identical product images across vendors with AI image tagging and catalog automation. Our duplicate image detection clusters near-duplicate images, flags conflicts, and suggests clean merges - so your PDPs and marketplace feeds stay accurate. The result is faster vendor feed cleanup, stronger e-commerce SEO, and consistent visuals across SKUs without manual triage
Large catalogs aggregate vendor feeds with repeated or near-identical images for the same SKU. Manual QA misses near-duplicate images, causing duplicate listings, thin content, and e-commerce SEO cannibalization. Inconsistent titles and attributes across sellers also break filters and trigger marketplace compliance issues - slowing time-to-list and confusing shoppers.
Shuru’s AI Image Tagging & Catalog Automation uses perceptual hashing and visual embeddings to cluster identical and near-duplicate images, then applies entity resolution on titles/attributes to suggest merges. Each cluster receives a confidence score and a proposed canonical record; conflicts surface for quick human approval. Clean, deduped outputs sync to your PIM/DAM/CMS and power marketplace-ready feeds - reducing noise before export.
AI Image Tagging & Catalog Automation
Auto-tag products, standardize attributes, and structure catalogs at scale.
Fewer duplicate listings and cleaner PDPs through automated vendor feed cleanup.
Improved e-commerce SEO by removing near-duplicate images that cannibalize rankings.
Higher conversion from consistent visuals and accurate SKU clustering.
Lower ops cost by replacing manual dedupe with AI image tagging and catalog automation.
Faster time-to-list with pre-submission validation that prevents marketplace rejections.
Better analytics accuracy via canonical records and clear entity resolution.
Partner with us to design, prototype, and deploy.
