HSC’s AI-based catalogue enrichment framework is aimed at enhancing the product listings to drive conversions and trust. It allows retailers to automatically extract and standardize product attributes across large catalogues, leading to rich listings with better discoverability and searchability.
It analyses unstructured data like product descriptions, images and reviews to derive structured attributes. These may include material, size, fit, and other metadata that make search and recommendation engines more effective.
By automating this enrichment and synchronization, this framework reduces manual effort and product inconsistencies. On the user side, it enhances experience through improved search and filtering with more relevant recommendations.
