Systems and methods for monitoring items in publicly available inventories, such as websites, are disclosed. Items to be monitored in the publicly available inventories are identified based on embeddings obtained for the inventory items. For example, matching inventory items may be identified based on proximity of the embeddings, such as the cosine distance between embeddings, or a classification machine learning model may be trained to infer matches, e.g., based the embeddings as well as information related to the user and source of the publicly available inventories. The inventory items in the publicly available inventories may be monitored to detect changes which may be reported. Feedback related to the match between inventory items may be used to adjust one or more parameters used for matching.