Abstract: Disclosed are systems, apparatuses, processes, and computer-readable media for unstructured asset convergence, monitoring, and forecasting. For example, a disclosed method includes receiving a collection of unstructured documents; generating structured data based on the collection of unstructured documents; identifying a property identifier of a first asset within the structured data, the property identifier being associated with a single physical structure; in response to receiving an unstructured notification, identifying an entity associated with the unstructured notification and a second asset corresponding to the entity; determining, by a machine learning model, that the first asset will be affected based on the unstructured notification based on at least one of the entity, a proximity of the first asset to the second asset; and providing a notification regarding the first asset and potential changes to the first asset based on the entity or the second asset.