The invention relates to the technical field of electronic commerce
information processing, in particular to a commodity attribute AI generation method based on
national standard bar codes and
big data, and the method comprises the steps: collecting multi-
source data, constructing a dynamically updated commodity
knowledge graph, and forming a standardized commodity basic information base; then, taking a
national standard bar code as a key index, realizing intelligent identification and automatic filling of commodity information by using an AI technology, and having a self-learning ability for unknown commodities; further, carrying out AI optimization on commodity attributes, including
complementation, error correction and specification
standardization; in addition, standardized commodity main picture and detail page content can be automatically generated, and AI auditing is carried out on the standardized commodity main picture and detail page content to ensure compliance and quality. According to the invention, the whole process
automation of commodity information from collection,
standardization to application is realized, the labor cost is greatly reduced, the
data quality and the circulation efficiency are improved, and a unified and reliable data base is provided for constructing intelligent retail
ecology.