Abstract: A computer system and method may be used to generate a product catalog from one or more websites. One or more product pages on the websites may be identified and parsed. Attribute information may be identified in each page. Moreover, one or more automated interactions may be performed to generate page variations and identify attribute values. The attribute information and attribute values may be stored as structured data in a database.

Abstract: A computer system and method may be used to generate a product catalog from one or more websites. One or more product pages on the websites may be identified and parsed. Attribute information may be identified in each page. A learning engine may be utilized to predict at least one attribute value. The attribute information and the predicted attribute value may be stored in a database.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for automated extraction, inference and normalization of structured attributes for a Product Category Normalizer to access product records from external data sources. The Product Category Normalizer defines a product-description taxonomy of product categories represented by a classification tree. The Product Category Normalizer employs product attribute data and machine learning techniques to analyze the product data of an input product record. Based on the product data of the input product record, the Product Category Normalizer extracts and infers appropriate product data for a relevant product category in the classification tree for the item described by the input product record. The Product Category Normalizer normalizes the product data of the input product record.

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.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for automated extraction, inference and normalization of structured attributes for a Product Category Normalizer to access product records from external data sources. The Product Category Normalizer defines a product-description taxonomy of product categories represented by a classification tree. The Product Category Normalizer employs product attribute data and machine learning techniques to analyze the product data of an input product record. Based on the product data of the input product record, the Product Category Normalizer extracts and infers appropriate product data for a relevant product category in the classification tree for the item described by the input product record. The Product Category Normalizer normalizes the product data of the input product record.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for automated extraction, inference and normalization of structured attributes for a Product Category Normalizer to access product records from external data sources. The Product Category Normalizer defines a product-description taxonomy of product categories represented by a classification tree. The Product Category Normalizer employs product attribute data and machine learning techniques to analyze the product data of an input product record. Based on the product data of the input product record, the Product Category Normalizer extracts and infers appropriate product data for a relevant product category in the classification tree for the item described by the input product record. The Product Category Normalizer normalizes the product data of the input product record.

Abstract: A computer system and method may be used to generate a product catalog from one or more websites. One or more product pages on the websites may be identified and parsed. Attribute information may be identified in each page. A learning engine may be utilized to predict at least one attribute value. The attribute information and the predicted attribute value may be stored in a database.

Abstract: A computer system and method may be used to generate a product catalog from one or more websites. One or more product pages on the websites may be identified and parsed. Attribute information may be identified in each page. Moreover, one or more automated interactions may be performed to generate page variations and identify attribute values. The attribute information and attribute values may be stored as structured data in a database.

Abstract: A computer system and method may be used to generate a product catalog from one or more websites. One or more product pages on the websites may be identified and parsed. Attribute information may be identified in each page. Moreover, one or more automated interactions may be performed to generate page variations and identify attribute values. The attribute information and attribute values may be stored as structured data in a database.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for automated extraction, inference and normalization of structured attributes for a Product Category Normalizer to access product records from external data sources. The Product Category Normalizer defines a product-description taxonomy of product categories represented by a classification tree. The Product Category Normalizer employs product attribute data and machine learning techniques to analyze the product data of an input product record. Based on the product data of the input product record, the Product Category Normalizer extracts and infers appropriate product data for a relevant product category in the classification tree for the item described by the input product record. The Product Category Normalizer normalizes the product data of the input product record.

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.

Abstract: A computer system and method may be used to generate a product catalog from one or more websites. One or more product pages on the websites may be identified and parsed. Attribute information may be identified in each page. Moreover, one or more automated interactions may be performed to generate page variations and identify attribute values. The attribute information and attribute values may be stored as structured data in a database.