92 results about "Product Identifier" patented technology

Embodiments provide for dynamic generation and updating of quote data objects using machine learning. An example apparatus is configured to receive a quote request and parse the quote request to extract one or more quote parameters. The example apparatus is further configured to determine, based at least in part the one or more quote parameters and by querying a plurality of repositories that are each updated periodically or in real-time, available inventory associated with the product identifier, and to determine a set of alternative quote values for the product identifier. The example apparatus is further configured to generate, using a first trained machine learning model and based at least in part on the available inventory and the set of alternative quote values, a first quote feature for the quote request and a confidence score, and to cause transmission of a quote data object to a user device.

One or more computing devices, systems, and / or methods for generating and providing recommendations of products are provided. For example, content is extracted from a message sent to a user. The content is evaluated to identify a product identifier corresponding to a product title of a product. If the product identifier is a truncated version of the product title, then a database of product titles and frequencies of occurrence of the product titles is used to complete the product title. A model is used to infer a product category for the product title. Matching scores are assigned to products within a product category based upon weighted attributes. A recommendation is provided to the user for a product having a matching score greater than a matching threshold.

The invention provides a product traceability method and system based on a space-time code, a terminal and a storage medium, and belongs to the technical field of product traceability, and the method comprises the steps: generating a commodity code of a raw material; for each subsequent product processing link, all the commodity codes of the previous upstream link are scanned and analyzed, production subject identification information associated with each commodity code is acquired, and the validity of the production subject identification information is verified; when the production subject identification information is valid, analyzing a space-time code from each commodity code of a previous upstream link as a parent space-time code of a product of a current link; generating a commodity code of the current link product in combination with the space-time code of the current link product and the product identification information; and obtaining a traceability result. According to the invention, the product is identified by using the corresponding space-time code and the product identifier in each production link, and when the commodity code of the final product is scanned, the traceability can be carried out without manual intervention, so that the product traceability efficiency is effectively improved.

A method for preventing fraud is provided that includes receiving metadata from a manufacturer for an incentive associated with a product, the metadata including a product identifier and a redemption rule. The method includes requesting a host to create a record in a ledger for the incentive using the metadata, providing the incentive to a consumer via a mobile device, assigning a public address to the incentive, receiving from the host a first private key associated with the public address in the record, providing the first private key to the consumer, and receiving a second private key indicative of a redemption of the incentive at a retailer. The method includes validating redemption of the incentive and recording the redemption of the incentive at a retailer in the ledger record when the redemption of the incentive is validated. A system to perform the above method is also provided.

The invention relates to the field of product identifier identification, and discloses a product identifier attachment identification system and equipment, the equipment comprises an information flow control module, a pre-labeling station, labeling equipment, an identifier printing defect abnormity processing module and an equipment hardware fault detection module; meanwhile, the system is applied to the equipment and comprises a product information acquisition module, a labeling instruction issuing module, a labeling execution module and a detection module; in the working process, after products flow into a pre-labeling station, after detection and information collection, an upper computer is linked with an MES to obtain printing information, a printing system is controlled to print labels, after pre-detection is qualified, the labels are attached through a mechanical arm, then secondary detection is conducted through multiple sets of detection modules, and a repairing mechanism is started when the products are abnormal; according to the invention, full-process automation can be realized, the production efficiency is improved, the detection reliability is enhanced, flexible production requirements can be met, and the technical problems of low efficiency and poor detection quality of a traditional process and insufficient adaptability of existing equipment are solved.

A computer-implemented method including scanning a radio tag incorporated into packaging of a firework product to retrieve a tag data record, the tag data record comprising a source identifier, a firework product identifier, and a universal resource identifier (URI); and at least one of: adding a product data record to a product database, the product data record comprising at least the firework product identifier, and requesting from the URI content related to the firework product.

In some embodiments, apparatuses and methods are provided herein useful to processing captured images. In some embodiments, there is provided a system for processing captured images of objects at a product storage facility including a trained machine learning model; and a control circuit. The control circuit may group a plurality of product identifiers into one or more clusters based on at least one of visual similarity of corresponding images, textual similarity of corresponding associated descriptions, and associated relationships between product identifiers of the plurality of product identifiers; determine clusters having common elements that are at least within a similarity threshold of each other; merge the clusters with the common elements; and generate a mapping dataset used to retrain the trained machine learning model to identify a plurality of objects. The mapping dataset may include a plurality of associations of associated product identifiers to a single object.

A computer-implemented method for identifying a product citation in a document, the method comprising searching, in the document, for an entity identifier corresponding to an entity and, if an instance of the entity identifier is detected in the document, determining a portion of the document around the instance of the entity identifier as a target text, wherein the entity is associated with a product catalogue, the product catalogue comprising a plurality of product identifiers; applying a first regular expression to the target text, wherein the first regular expression is configured to match one or more of the plurality of product identifiers; and if a product identifier from the plurality of product identifiers is determined to be cited in the target text, adding an entry to a citation database linking the document and the product identifier.

A system for managing healthcare supply chain product and organization information for an organization is provided. The system may include a processor and a memory in communication with the processor. The memory includes a user interface module to receive a product identifier (ID), and an integration module to generate a new product item when the integration module determines that the product ID is not associated with an existing product item, or integrate the product ID with the existing product item when the existing product item does not include the product ID. The memory includes an organization module that receives an organization identifier (ID) and matches the organization ID and organization account to an organization master. The memory includes a PIM module that receives the product item associated with the product ID from the integration module. The PIM module matches the product ID and product item to a system PIM.

This invention provides an e-commerce dynamic data processing method and system based on intelligent agents, relating to the field of data processing technology. It identifies the real-time status of each sub-product within a combined product based on image data, calculates a shopping guide decision value for the combined product based on the real-time status and a preset lifecycle of the corresponding product identifier, and stores the shopping guide decision value in association with the product identifier. It also receives user input including demand information for a target usage period, filters and outputs recommendation information from multiple combined products based on the demand information and the shopping guide decision value. This invention achieves dynamic tracking of the status of sub-products within a combined product and continuous updating of the shopping guide decision value.

The application discloses a data recommendation method and device, electronic equipment and a computer readable medium, relates to the technical field of big data analysis, and the method comprises the following steps: receiving a data recommendation request, obtaining a corresponding user identifier, obtaining a corresponding product identifier and user behavior data according to the user identifier; determining a corresponding keyword based on the product identifier, determining a corresponding first keyword feature weight matrix according to the keyword; determining a time window stage corresponding to the keyword according to the user behavior data, determining a corresponding second keyword feature weight matrix of each according to the time window stage and the first keyword feature weight matrix; determining a candidate keyword according to the first keyword feature weight matrix and the second keyword feature weight matrix of each; obtaining the weight corresponding to each candidate keyword, and then determining target recommended product data according to the candidate keyword and the weight and outputting. The safety of user financial management can be improved when recommending financial product data for the user.

The invention relates to the technical field of automatic production, and provides a product machining system and method.The product machining system comprises a position detection device, at least one product machining device and conveying devices in one-to-one correspondence with the product machining devices; the position detection device is used for acquiring a product identifier of a target product located on a first station and a position deviation of an actual coordinate position of the target product relative to a reference coordinate position, and uploading the product identifier and the position deviation to the server for binding storage; the transportation device is used for transporting the target product to a second station of the corresponding product processing device; and the product processing device is used for acquiring the product identifier of the target product located on the corresponding second station, acquiring the bound position deviation from the server according to the product identifier, performing position compensation according to the position deviation, and then processing the target product. And the cost of a product processing system can be reduced.

The application relates to a product pushing method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: obtaining user information of a plurality of user identifiers and product information of a plurality of product identifiers; constructing a heterogeneous graph comprising a user node, a product sub-node and a product node based on the user information and the product information; performing feature extraction on the heterogeneous graph to obtain a user target feature vector corresponding to the user node and a product target feature vector corresponding to the product node; calculating the similarity between the user target feature vector and the product target feature vector, determining a to-be-pushed product identifier corresponding to each user identifier in the plurality of user identifiers based on the similarity, and pushing the to-be-pushed product identifier to the corresponding user identifier. The method can improve the accuracy of product pushing.

The invention relates to the technical field of image recognition, and discloses a commodity picture intelligent classification method and system based on image recognition, and the method comprises the steps: calculating the position coordinates of a brand identifier in a cross-category right commodity picture, and extracting text features from the cross-category right commodity picture; extracting visual features from the brand identification position coordinates, and performing weighted fusion on the visual features and the text features to obtain fusion features; recalling candidate commodities from an inverted list according to the fusion features, and creating first classification labels of the candidate commodities; and performing consistency verification and correction on the first classification label, generating a second classification label, querying a commodity identifier in a member SKU table according to the second classification label, and updating a picture management module and a foreground classification table. And the operation efficiency of the right platform is improved.

The embodiment of the invention provides a product recommendation method and device, electronic equipment and a storage medium. The method comprises the steps that an initial product set is constructed according to historical behavior data of a target object, the initial product set comprises a plurality of initial product identifiers, and one initial product identifier corresponds to one current product; performing iterative updating on the initial product set based on a differential evolution algorithm to generate a target product set; wherein in the iterative updating process, at least part of the initial product identifiers in the initial product set are replaced with target product identifiers, and the evaluation score, corresponding to the target product identifiers, of the target product is larger than the evaluation score, corresponding to the current product, of the replaced initial product identifiers; determining a target recommended product list according to the target product set; and displaying the target recommended product list. The accuracy and processing efficiency of product recommendation can be improved.

The application relates to a front-end driving back-end service method, device, computer equipment and storage medium. The method comprises the following steps: receiving a request sent by a front-end page, the request carrying a product identifier and a template identifier; analyzing the request to obtain the product identifier and the template identifier; obtaining a target template determined according to the product identifier and the template identifier, the target template comprising a template parameter defined by a front-end language; determining target data through the template parameter; and sending the target data to the front-end page. If the target template is detected during the execution of the back-end service process, the logic in the target template is executed, after the execution of the logic in the target template, the logic of the back-end is continuously executed, and data is returned to the front-end through the back-end logic. The target template is written by using a front-end programming language, front-end personnel can customize corresponding templates according to business requirements, thereby reducing the communication cost caused by the inconsistency of front-end and back-end data and accelerating the development efficiency.

The invention relates to the technical field of product testing, and discloses a test parameter determination method and a test system. The determination method comprises the following steps: acquiring a product identifier of a current to-be-tested product; in response to the existence of the product identifier, obtaining change / iteration information corresponding to the current to-be-tested product and a test item corresponding to the change / iteration information; acquiring default test parameters and historical test results corresponding to the test items; adjusting default test parameters according to the historical test result to obtain current test parameters; the current test parameter is used for testing the current to-be-tested product, and the current to-be-tested product only needs to be tested according to the test item. Through the above mode, the accuracy of the test scheme is improved, the test efficiency is improved on the basis of ensuring the performance of the product, and the iteration period of the whole product is shortened.

A method includes: locating a first slot boundary around a first product unit, in an image of an inventory structure in a store, identifies as a first product type based on features detected in the image; extracting a first product identifier, from a first slot tag, detected in the image; based on correspondence between the first product identifier and product type, associating the first slot boundary with the first slot tag and extracting a first relative tag-boundary position of the first slot boundary and slot tag from the image; extracting a second product identifier from a second slot tag detected in the image; predicting a second slot boundary, assigned to a second product type corresponding to the second product identifier, in the image based on a second position of the second tag in the image and the first relative tag-boundary position.

The invention discloses a configuration parameter verification and repair method, device and equipment and a storage medium, and the method comprises the steps: obtaining a product identifier of a to-be-verified product and a plurality of actual configuration parameters, and determining an actual configuration parameter verification code of the to-be-verified product; under the condition that the actual configuration parameter check codes are inconsistent with the standard configuration parameter check codes, parameter grouping is conducted on the multiple actual product configuration parameters based on the preset group length, and the standard configuration parameters corresponding to the actual configuration parameters are determined; determining a to-be-repaired configuration parameter group in the plurality of actual configuration parameter groups according to the standard configuration parameter and the standard configuration parameter check code, and performing parameter repair on each to-be-repaired configuration parameter according to the effective parameter until a parameter repair result is matched with the standard configuration parameter check code, the accuracy of configuration parameter verification and the success rate of parameter repair can be improved.

The present invention discloses a product recommendation method, device, non-volatile storage medium and electronic device. The method includes: obtaining keywords for browsing products corresponding to a target account, and the categories to which the browsed products belong; inputting the keywords and the categories to which the browsed products belong into a target large language model, and the target large language model outputting a first product set and a second product set, wherein the first product set includes product identifiers that match the keywords, and the second product set includes product identifiers within the categories that match the categories to which they belong, wherein the target large language model is obtained by fine-tuning a pre-trained large language model using a first training sample; obtaining a union of the first product set and the second product set to obtain a third product set; sorting the product identifiers included in the third product set, and selecting multiple products recommended to the target account in order. The present invention solves the technical problem in the prior art that products cannot be accurately and efficiently recommended to users.

A method and system for cross-network transactions includes a processor for storing a blockchain having a non-fungible token (NFT) associated with a physical asset, the NFT having metadata including at least a product identifier and product details. The processor may store one or more user account profiles each including a user identifier and a blockchain wallet address. The processor may receive a product verification request message including a machine-readable code from a first user computing device, execute a query on the blockchain to identify an NFT including a product identifier matching the machine-readable code and in response to identifying an NFT including a product identifier matching the machine-readable code, determine the product associated with the machine-readable code is verified. The processor may generate a verification result indicating that the product associated with the machine-readable code is verified code and transmit the verification result to the first user computing device.

A method for automatically generating a product video including receiving a product and a product identifier corresponding to the product, collecting physical product data of the product, receiving digital product data associated with the product identifier from at least one digital source, combining the physical product data and the digital product data into a combined product data structure, generating a production plan for the product video based on the combined product data structure, and automatically operating at least one equipment item to record the product video based on the production plan.

This invention relates to the field of R&D management technology, and discloses a method, apparatus, device, and medium for configuring and executing business strategies. The method includes: parsing strategy change messages to generate a strategy model and establishing an association between strategy codes and strategy execution scripts; obtaining interface rendering data from the strategy model based on product identifiers; generating strategy filtering conditions based on business scenario parameters and storing them in association with the strategy codes; matching current scenario information to filter a list of strategies to be executed; calling the strategy execution script to process the data to be processed and obtain strategy execution results; and assembling response information based on the strategy execution results and returning it. This invention can be applied to business scenarios such as financial property insurance. By decoupling strategy parsing and strategy execution, and combining a unified strategy model and a scenario-based filtering mechanism, it enables dynamic configuration and on-demand execution of verification rules, shortens the rule adjustment cycle, reduces system modification risks, and improves rule reusability.

The application discloses a full-automatic control method and device for stacking, and a computer readable storage medium. The method comprises the following steps: in the case that a target product online signal is received, a product identifier of the target product is used to control a lower computer to perform a stacking operation on the target product; current stacking information transmitted by the lower computer after the stacking operation is completed is received; in the case that the current stacking information indicates that a target stack tray is a residual stack tray, a product temporary storage instruction is issued to the lower computer to control the lower computer to perform a temporary storage operation on the residual stack tray; and in the case that the current stacking information indicates that the target stack tray is a complete stack tray, a product storage instruction is issued to the lower computer to control the lower computer to perform a storage operation on the target product contained in the complete stack tray. The application solves the technical problem that in the related art, manual operation is still required after the stacking is completed, the manual operation process is complicated and prone to errors, and the operation efficiency is low.

A method generates a virtual character for use in a game. The method includes identifying a first physical object, acquiring a first product identifier associated with the first physical object, acquiring a first product description based on the first product identifier, and generating a first narrative description of a first creature based on the first product description. The method further includes defining at least one characteristic of the first creature distinct from the first narrative description, generating an image of the first creature based on the first narrative description, and storing, in a data store that stores virtual character data for virtual characters playable in a video game, a first data set defining the first creature. The data set includes the defined characteristic of the first creature and the image of the first creature. Also provided is a system for implementing a video game utilizing the virtual character.

This application provides a blockchain-based digital product verification method and related equipment, enabling decentralized third parties to perform tamper-proof and auditable automated verification of the identity and ownership of digital products. The method includes: extracting features from digital product data and encrypting and encoding them to generate a product identifier and corresponding product description metadata; digitally signing the product identifier and product description metadata based on the issuer's identity and constructing blockchain data to generate smart contract data corresponding to the digital product data; verifying the compliance of product operation request instructions based on the smart contract data; and modifying the smart contract data according to the verified product operation request instructions.

Embodiments of the present disclosure relate to a computer-implemented package delivery system. The system may be configured to receive a customer order comprising at least three items; generate an order identifier based on the customer order; associate each of a plurality of items in the customer order with the order identifier; determine that a plurality of items in the plurality of items are associated with a common product identifier and are located in a common storage location, the portion corresponding to a quantity of the items; send a first instruction to pick a plurality of identical items from the common storage location and a second instruction to pick a different item from another storage location; send an instruction to sort the first item and the second item together without regard to the status of the third item; and send an instruction to deliver the plurality of identical items in a common container.

The invention discloses a price verification method, device and equipment based on identification of commodities of the same type and a storage medium, and relates to the technical field of commodity price comparison, and the method comprises the steps: obtaining heterogeneous commodity data of a plurality of suppliers; processing the heterogeneous commodity data to obtain standardized commodity data; performing multi-modal feature fusion on the standardized commodity data to generate a comprehensive feature vector corresponding to each commodity; calculating the similarity between the commodities according to the comprehensive feature vector, and clustering the commodities with the similarity greater than a similarity threshold value into a same-type commodity set; performing price comparison analysis on commodities in the same-type commodity set to obtain a reference price of the same-type commodity set; receiving a purchasing request, and determining a same-type commodity set based on the commodity identifier in the purchasing request; comparing the commodity price in the purchase request with the reference price of the same commodity set to obtain a verification result; and responding to a purchase request according to the verification result. According to the method, the accuracy of price comparison of the same commodity is improved.

1. Name of the product in this design: Hangtag Design (Haodi). 2. Purpose of this design: To be used as a product identifier when hung on clothing. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: the front view. 5. Due to the lack of design considerations, the left view, right view, top view, and bottom view are omitted.

The invention discloses a material taking control method and system, a medium and a product. The method comprises the steps that a product identifier of a target product uploaded by at least one material taking device in a material taking station and a unique device identifier of the material taking device are obtained; determining a main material rack corresponding to the equipment unique identifier based on a preset material rack equipment binding relationship, and determining a target slave material rack associated with the equipment unique identifier in a plurality of slave material racks bound with the main material rack; and determining a target storage position in the target slave rack according to the target slave rack and the product identifier, and generating material taking guide indication information according to the target storage position. The binding relation between the material rack and the unique identifier of the equipment is constructed in advance, it is ensured that each material taking device only corresponds to an exclusive slave material rack, the storage position of the material taking device on the material rack is accurately positioned, prompt information for guiding completion of accurate material taking is generated, the problem of conflict of same-station multi-station material taking is solved, the material taking accuracy is ensured, and the material taking efficiency is improved. And the device is suitable for a high-productivity production scene with multiple parallel stations and multiple material racks.