Artificial intelligence for compliance simplification in cross-border logistics

US11443273B2 · kind B2 · utility

Assignee

• Hearst Magazine Media, Inc. · US

Inventors

• Ramanan Balakrishnan · Bengaluru, IN
• Abishekaa Kulamarva Yajnakumara · Bengaluru, IN
• Govind Chandrasekhar · Bengaluru, IN
• Raj Bhandari · Mountain View, US
• Asmit Kumar · Bengaluru, IN
• Dinesh Kumar Nalluri · Bengaluru, IN
• Srinivasan Sridharan · Strongsville, US
• Vinoth Gopinathan · San Francisco, US
• Varun Sivamani · San Francisco, US

Key dates

• Filing date: Jan 10, 2020
• Grant date: Sep 13, 2022
• Expiry date: Feb 7, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q10/0831
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

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.