Intelligent e-commerce page stock-out management method and system based on machine learning
A machine learning and management system technology, applied in the field of out-of-stock management on smart e-commerce pages, can solve complex and other problems, achieve the effect of reducing difficulty, achieving scalability, and high scalability
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[0035] A smart e-commerce page out-of-stock management system based on machine learning, including data source definition management 101, heterogeneous multi-data source processing 104, knowledge and learning mechanism 102, reasoning based on deep learning 105, out-of-stock prediction alarm and Management 106; wherein, the data source definition management 101 is used to provide a highly flexible definition and configuration management method for multi-source heterogeneous data; the heterogeneous multi-data source processing 104 is used to realize the cleaning, classification and merging of imported data; The knowledge and learning mechanism 102 is used to manage reasoning structure definition, feature and mode definition, workflow definition, and machine learning model configuration, training evolution and parameter management; and related data information are automatically analyzed and reasoned to determine the reason for shortage; the shortage prediction alarm and management...
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