This invention discloses a method and
system for penetrating supervision of procurement processes based on a document engine. The method includes: first, obtaining contextual representation data of target procurement documents selected from the procurement entities to be supervised from the document engine. This data includes the
entity identifier, relevant procurement document features, and the target document's own features. Then, in an edge
inference node, a procurement document
inference model is invoked to infer the correlation between the supervised entity and the target document based on the contextual data, obtaining a correlation confidence level. This model is trained and optimized in the cloud and then migrated and deployed to the
edge node to achieve latency significantly lower than cloud
inference. Finally, based on the correlation confidence level, a penetrating supervision instruction is executed on the target procurement document. This invention effectively reduces the response latency of intelligent supervision and improves the ability to perform real-time, accurate, and penetrating analysis of complex procurement processes.