Improving Ecommerce Catalog Quality and Brand Safety with AI

Marqo, an AI-native ecommerce search and product discovery platform, enhances catalog quality and brand safety by training a large language model on each retailer's catalog, thereby improving personalization and relevance while enabling extensive audit and curation capabilities. The platform's multimodal search functions allow for the identification and removal of unsuitable content, such as NSFW images and bizarre AI artifacts, from a dataset of approximately 250,000 AI-generated images used for demonstration purposes. Utilizing a combination of intuitive and experimental query design methodologies, including weighted query components and similarity score thresholds, Marqo effectively filters out problematic images, improving trust and alignment with retail standards. This approach not only refines the quality of product imagery but also holds potential for broader applications in detecting mislabeled products and inconsistent attributes across ecommerce catalogs, thereby ensuring a trustworthy and seamless shopping experience.