发明授权
- 专利标题: Artificial intelligence for compliance simplification in cross-border logistics
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申请号: US16740301申请日: 2020-01-10
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公开(公告)号: US11443273B2公开(公告)日: 2022-09-13
- 发明人: Ramanan Balakrishnan , Abishekaa Kulamarva Yajnakumara , Govind Chandrasekhar , Raj Bhandari , Asmit Kumar , Dinesh Kumar Nalluri , Srinivasan Kidambi Sridharan , Vinoth Gopinathan , Varun Sivamani
- 申请人: Hearst Magazine Media, Inc.
- 申请人地址: US NY New York
- 专利权人: Hearst Magazine Media, Inc.
- 当前专利权人: Hearst Magazine Media, Inc.
- 当前专利权人地址: US NY New York
- 代理机构: Knobbe, Martens, Olson & Bear LLP
- 主分类号: G06Q30/00
- IPC分类号: G06Q30/00 ; G06Q10/08 ; G06F16/25 ; G06N20/00 ; G06F7/14
摘要:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for artificial intelligence for compliance simplification in cross-border logistics. A computer system and method may be used to infer product information. A computer system may feed a product data record into a machine learning (ML) models to identify a predictive attribute(s) that corresponds with identifying accurate product information. The computer system may feed the product data record and the predictive attribute into a ML model(s) to estimate additional data for the product data record. The computer system may update the product data record with the estimated additional data. The computer system may predict product code data by feeding the updated product data record into an ensemble of ML models, the product code data based on one or more commerce classification code taxonomies.
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