A commerce system includes an EC server connecting to a user terminal and executes E-commerce, a customs clearance authentication server that administers pre-customs clearance information, and an administration server connected to the customs clearance authentication server and the EC server. The administration server receives a registration request including product information regarding a product, transmits the registration request to the customs clearance authentication server, receives pre-customs clearance information regarding the product from the customs clearance authentication server, and notifies the pre-customs clearance information to the EC server. The customs clearance authentication server generates pre-customs clearance information based on product information, in response to a request from the EC server, and transmits generated pre-customs clearance information to the administration server. The EC server transmits the received pre-customs clearance information along with product information to the user terminal, and accepts, from the user terminal, an instruction to circulate the product specified via customs.

A commerce system includes an EC server connecting to a user terminal and executes E-commerce, a customs clearance authentication server that administers pre-customs clearance information, and an administration server connected to the customs clearance authentication server and the EC server. The administration server receives a registration request including product information regarding a product, transmits the registration request to the customs clearance authentication server, receives pre-customs clearance information regarding the product from the customs clearance authentication server, and notifies the pre-customs clearance information to the EC server. The customs clearance authentication server generates pre-customs clearance information based on product information, in response to a request from the EC server, and transmits generated pre-customs clearance information to the administration server. The EC server transmits the received pre-customs clearance information along with product information to the user terminal, and accepts, from the user terminal, an instruction to circulate the product specified via customs.

A robot fleet platform for preparing a job request includes one or more processors configured to execute instructions. The instructions include a job request ingestion system configured to receive job content relating to at least one of picking, packing, moving, storing, warehousing, transporting or delivering of items in a supply chain. The job content includes an electronic job request and related data. The instructions include a job content parsing system configured to apply filters to the received job content to identify candidate portions thereof for robot automation. The instructions include a fleet intelligence layer that activates a set of intelligence services to process terms in the candidate portions of the job content and receive therefrom at least one recommended robot task and associated contextual information. The instructions include a demand intelligence layer that provides real time information relating to a parameter of demand for the items in the supply chain.

A robot fleet management platform includes one or more processors configured to execute instructions. The instructions include receiving a job request comprising information descriptive of job deliverable and request-specific constraints for delivering the job deliverable. The instructions include applying content and structural filters to content received in association with a job request to identify portions thereof suitable for robot automation. The instructions include establishing a set of robot tasks, each defining at least a type of robot and a task objective, based on the portions of the job request that are suitable for robot automation and meet a first fleet objective. The instructions include applying fleet configuration services to the job content and the set of robot tasks to produce a fleet resource configuration data structure for the job request that associates at least one robot operating unit with each task in the set of tasks and robot adaptation instructions.

The present invention relates to an e-commerce method capable of integrated ordering and integrated shipment to help a user residing abroad to use a domestic online shopping mall, the e-commerce method including displaying a plurality of online shopping malls on a user terminal, displaying an integrated order product list for a plurality of products selected by a user's input from at least one online shopping mall on the user terminal, receiving a purchase-on-behalf request event for a product of the integrated order product list from the user terminal, receiving first-shipment completion information from an administrator when the first shipment of the product purchased on behalf of the user to a predetermined shipment destination is completed, and displaying an integrated shipping method list including a plurality of shipping methods corresponding to the product for the second shipment of the product to a user shipment destination on the user terminal.

Systems and methods are disclosed for providing a product to consumers by receiving the product from a manufacturer located in a first country; matching the products with a seller in the second country; managing delivery logistics by matching available third-party truckers and third-party warehouses in a second country based on proximity; forecasting demand using one or more neural networks for the manufacturer, the logistics organization, and the warehouses; and managing logistics for the manufacturer through a dashboard populated by the forecasted demand from the one or more neural networks.

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. The Product Category Normalizer provides an output normalized product record related to a product category and product attributes of the classification tree.

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.

Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for document registration. One of the methods includes: at a service platform, receiving first information related to an order, wherein the first information is provided, or to be provided, to a service authority for clearance of the order; at the service platform, encrypting at least a portion of the first information to generate encrypted first data; and sending the encrypted first data to a blockchain network to store the encrypted first data on a blockchain managed by the blockchain network, wherein the encrypted first data are stored on the blockchain through consensus of blockchain nodes of the blockchain network.

The present invention extends to methods, systems, and computer program products for clearing internationally shipped items through government customs agencies. Aspects of the invention utilize a unifying database to consolidate information from different parties (e.g., government entities, shippers, carriers, brokers, and item recipients) associated with delivery of an internationally shipped item in a common location. The unifying database facilitates communication between different the parties that use different data protocols, different data formats, different data types, different EDI, etc., Parties can update relevant information corresponding to their responsibilities within the unified database. When one party updates information, other parties can be notified electronically in essentially real time of status changes relevant to item delivery. Brokers can be assigned for at-will clearance work based on broker profile information maintained in the unifying database.