28 results about "Stock keeping unit" patented technology

Disclosed in the present application are a group-buy data processing method and apparatus, and an electronic device. The group-buy data processing method comprises: displaying group-buy objects having selectable delivery modes; in response to a first user initiating a target group buy for a target object among the group-buy objects, requesting stock keeping unit information of the target object from a service terminal, displaying the selectable delivery modes of the target object, and determining data of an order to be placed of the first user; in response to a target delivery mode among the selectable delivery modes being selected, updating, on the basis of the target delivery mode, a stock keeping unit of the data of the order to be placed; and in response to an order confirmation instruction for the data of the order to be placed, triggering the generation, based on the updated stock keeping unit, of an order of the first user as a first order of the target group buy, the first order comprising information of the target delivery mode. The method solves the problem of how to improve the delivery efficiency of existing group-buy solutions.

A printing consumable may include a rotatable core, a roll of dispensable printing substrate, and a radio frequency identification (RFID) tag. The roll of dispensable print substrate may be dispensable secured to the core. The RFID tag may be secured to the core and configured to rotate about the core axis. The RFID tag includes an RFID antenna coupled to an RFID chip. The RFID chip may include a print counter, an inventory unit (SKU) code, and a consumable authentication code. A printing system may include a housing, a holder to hold the printing consumables, a printhead, a transceiver, a tracking antenna to read RFID tags of the printing consumables, and a controller. The controller may be configured to receive a signal from the transceiver indicative of one or more of the print counter, the SKU code, and the consumable authentication code received from the RFID antenna.

Disclosed are various embodiments for an NFC-based self-checkout system. Embodiments can include a computing device comprising a near-field communication (NFC) reader. The computing device can obtain, via the NFC reader, a stock keeping unit (SKU) identifier for an item from an item NFC tag attached to the item. It can also obtain, via the NFC reader, a shopping cart identifier and a terminal identifier from a cart NFC tag attached to the shopping cart. It can then receive a user input indicating that a purchase of the item is to be completed. Subsequently, the computing device can establish a secure connection with a payment terminal service associated with the terminal identifier and send the SKU for the item, a payment instrument, and the shopping cart identifier to the payment terminal service.

An example methodology implementing the disclosed techniques includes, by a computing device, receiving data about a probable overstock product at a retail partner in a sales region from another computing device, the data including a finished goods assembly (FGA) stock keeping unit (SKU) that identifies the probable overstock product and a corresponding quantity of the probable overstock product. The method also includes, by the computing device, determining a total quantity of the probable overstock product in the sales region, wherein the total quantity includes the quantity of the probable overstock product at the retail partner, and computing a corrected FGA demand of the probable overstock product in the sales region based on the total quantity of the probable overstock product in the sales region. The method further includes, by the computing device, the corrected FGA demand of the probable overstock product in the sales region.

This utility model provides an oil fume treatment device and an integrated stove, relating to the field of cooking equipment technology. The oil fume treatment device includes a smoke collection component, a smoke exhaust component, and a volute assembly. The smoke collection component has a smoke collection chamber and a first air outlet and a second air outlet communicating with the smoke collection chamber. The smoke exhaust component is disposed within the smoke collection chamber and has a first smoke exhaust channel communicating with the first air outlet and a second smoke exhaust channel communicating with the second air outlet. The volute assembly is disposed within the smoke collection chamber and is rotatably connected to the smoke exhaust component. The volute assembly has a volute outlet and a functional component. The oil fume treatment device and integrated stove provided by this utility model allow the volute assembly to rotate by manually driving the functional component, which can reduce the number of stock keeping units (SKUs) and lower the burden of inventory management.

The technology described herein is directed towards product classification across multiple contexts within an enterprise environment, e.g., based on stock keeping unit (SKU-) related data. Relevant SKU attributes and patterns for each context are used to train machine learning-based classification models, which are then used to classify descriptive data of a product, such as one or more modules of a SKU. In one implementation, natural language processing and vectorization of input data are described to provide appropriate input to the trained classifier. Context-specific rules derived from domain knowledge and regulatory guidelines can be integrated to refine the classifications made by the model. The system incorporates integration with enterprise resource planning (ERP) systems, enabling efficient data management and classification within an existing infrastructure.

Disclosed herein is a shoebox gripper including: (A) a main body; (B) an adapter at a first distal end of said main body; (C) a pair of grippers at a second distal end of said main body, wherein said pair of grippers comprises a first suction mat and a second suction mat, wherein said first suction mat is substantially perpendicular to said second suction mat; and (D) one or more vacuum tubings gaseously coupled to said pair of grippers.

This invention relates to a method for visually recognising and tracking objects and events in 3D space with high accuracy, reduced computational load and fast setup, using virtual sensors that are designed to ensure high reliability and reduce costs by maximising their potential for accurate object recognition for given visual input data. The main task of a virtual sensor is to provide cost-effective and reliable data and replace the use of humans and / or hardware sensors to detect and recognise objects or events that are important to a given entity, such as an industrial enterprise and various business entities. The solution is well suited for industrial applications, especially for tracking larger objects of known shape or appearance, such as in large industrial halls, warehouses without fixed racking systems, container docks, train docks, car parks, etc. It is particularly suitable for tracking coils, metal pieces and larger building components. The method provides a reliable source of i data for obtaining a digital twin of the monitored objects, which represents real-time information about each stock keeping unit (SKU) in the warehouse (WH), bringing significant benefits to WH managers and thus saving human labour spent on searching for materials, improving management flow, reducing overall equipment effectiveness (OEE) of vehicles, improving throughput, quality, etc.

A print consumable can include a rotatable core, a spool of dispensable print substrate, and a radio frequency identification (RFID) tag. The spool of dispensable print substrate can be dispensably secured to the core. The RFID tag can be secured to the core and configured to rotate about a core axis. The RFID tag includes an RFID antenna coupled to an RFID chip. The RFID chip can include a print counter, a stock keeping unit (SKU) code, and a consumable authentication code. A print system can include a housing, a holder to hold the print consumable, a print head, a transceiver, a tracking antenna to read the RFID tag of the print consumable, and a controller. The controller can be configured to receive, from the transceiver, a signal indicative of one or more of the print counter, the SKU code, and the consumable authentication code received from the RFID antenna.

An item allocation method of an electronic device is disclosed. The item allocation method comprises the steps of: obtaining information on a first order including information on at least one item; generating at least one piece of shipment information for packaging and delivering at least one stock keeping unit (SKU) corresponding to the at least one item in minimum parcels; allocating inventory in a first distribution center to one or more pieces of first shipment information having the earliest corresponding shipment finish time among the plurality of pieces of shipment information on the basis of information on a shipment finish time corresponding to each of the plurality of pieces of shipment information including the at least one piece of shipment information; and allocating inventory in the first distribution center to one or more pieces of second shipment information having the second earliest corresponding shipment finish time among the plurality of pieces of shipment information on the basis of information on a shipment finish time corresponding to each of the plurality of pieces of shipment information.

The invention discloses a product classification method and device based on a business scene, a medium and electronic equipment, and the method comprises the steps: determining at least two to-be-classified product names associated with a target enterprise according to a product classification request for the target enterprise; grouping the names of the to-be-classified products in pairs to construct to-be-classified product pairs; wherein the to-be-classified product pair comprises a first product name and a second product name; core words in the first product name and the second product name are determined respectively, and name similarity between the first product name and the second product name is determined based on the core words; determining product classification granularity based on a business scene corresponding to the product classification request; and determining a product classification result of the to-be-classified product pair based on the product classification granularity and the name similarity. By executing the technical scheme provided by the invention, the cross-scene adaptability of product classification can be improved, and multi-level product management from a macroscopic category level to an inventory unit level is supported.

An information providing method of an electronic device is disclosed. The information providing method may comprise the steps of: checking information on a first order including information on one or more items; checking cost information according to a packaging method configured for each of multiple zone groups in multiple fulfillment centers and inventory information of the multiple zone groups; identifying an allocation method for one or more stock keeping units (SKUs) corresponding to the one or more items, the allocation method being determined on the basis of the cost information according to the packaging method configured for each of the multiple zone groups and the inventory information of the multiple zone groups; and on the basis of the allocation method for the one or more SKUs, generating first instruction information for picking the one or more SKUs.

A software activation method includes the following steps. An installation program created according to a stock keeping unit of an application program in a current order from a customer is obtained by an activation server, and the installation program and an enabling program are provided. The installation program is executed by a user device to install or update the application program, and after completing installation of the installation program, the activation server performs the following steps. A plurality of device serial numbers included in a past purchase order from the customer are obtained. Device information of the user device is verified according to the device serial numbers. When the verification passes, a license key is provided to the user device. The execution for the application program in the user device is activated based on the license key.

The invention provides a method and device for accounting carbon emission data, electronic equipment and a storage medium, and relates to the technical fields of intelligent supply chains, big data, carbon emission accounting and the like. The method for checking carbon emission data comprises the following steps: receiving an order related to a product to be checked; information identification is carried out on the order to obtain a target accounting parameter related to a target inventory unit in the order, and the target inventory unit is related to the to-be-accounting product; and performing carbon emission accounting on the to-be-accounting product based on the target accounting parameter to obtain carbon emission data related to the target inventory unit.

The invention discloses a logistics attribute identification method, device and equipment and a computer readable medium, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of obtaining local relative density of article logistics data according to adjacent data of the article logistics data so as to identify abnormal article logistics data in the article logistics data; after the abnormal article logistics data is rechecked and an inventory unit SKU of the abnormal article logistics data is identified, the rechecked article logistics data is adopted as training data, and a logistics attribute recognition model is obtained through training based on an XGBoosting model; and calling the logistics attribute identification model under the condition of identifying the logistics attribute of a target article so as to identify the logistics attribute of the article. According to the embodiment, the accuracy of the logistics attributes and the verification efficiency of the logistics attributes can be improved.

An information provision method for an electronic device is disclosed. The information provision method may comprise the steps of: acquiring, from a first terminal of a first user, a first information request for a first item including information related to a first quantity of the first item; identifying that a first stock keeping unit (SKU) corresponding to the first item is one from among a plurality of SKUs displayed in first-type zone groups among a plurality of fulfillment centers; determining a product delivery date (PDD) of the first item on the basis of at least one from among information related to the acquisition time of the first information request, information related to the type of a camp corresponding to a first address set by the first user as a delivery destination, inventory information of the first-type zone groups, and information related to the first quantity; and providing, to the first terminal, information related to the PDD of the first item.

Systems and methods for tracking assets are disclosed. Each asset is associated with a zone of a site and a stock keeping unit (SKU). Assets have a tag affixed thereto. The tag includes a beacon broadcasting a signal. Gateways in the site receive the signals and determine a signal characteristic for each, extract data encoded in the signals, and transmit the data, the signal characteristic and a time associated with each radio signal to a processing unit. The processing receives the data, the signal characteristics and the times, computes asset locations based on the signal characteristics, process some asset locations and the data associated with a given asset to generate event data, store the event data and the asset locations, and aggregates a subset of the event data related to a subset of the assets associated with a given SKU and to provide business intelligence related to the given SKU.

The application discloses a shelf out-of-stock detection method, device and equipment and a medium, and relates to the technical field of shelf detection. The method comprises the following steps: acquiring multiple local images of a shelf, detecting the images for goods, empty spaces and inventory units, and outputting detection results; splicing the images and fusing the detection results to generate unified detection data and convert the unified detection data into a structured shelf display sequence according to a physical result of the shelf. If there is an out-of-stock, the missing goods are determined by analyzing the information of the goods around the out-of-stock position. When the missing goods cannot be determined, the historical display data of the shelf are called and combined with the structured shelf display sequence and the position intersection area to determine the missing goods. Thus, the problem that a traditional method relies on a fixed template and is invalid when the layout changes is overcome, high-precision positioning of an out-of-stock area and accurate identification of missing goods are realized in a scene where the shelf layout frequently and dynamically changes, the robustness and continuous availability of the system are improved, manual intervention is reduced, and long-term maintenance costs are reduced.

The application provides a kind of unloading control method, system, equipment and storage medium of mobile robot, comprising: obtaining commodity inventory unit information, commodity inventory unit information includes commodity bar code, commodity name, commodity size, commodity weight and bar code orientation information;According to the display of new unloading instruction new unloading operation interface, select corresponding commodity inventory unit information in new unloading operation interface to establish unloading operation task;Mobile robot is detected, and unloading operation is carried out according to unloading operation task after mobile robot passes detection.The application displays new unloading operation interface according to new unloading instruction, selects corresponding commodity inventory unit information in the new unloading operation interface to establish unloading operation task, and unloading operation is carried out according to the unloading operation task after the mobile robot passes detection, not only convenient control of mobile robot for loading, but also realizes safety protection in mobile robot work.

An effective stock keeping unit (SKU) management system encodes catalog data into an embedding per catalog item. An embedding space is created by encoding catalog item data into an embedding per catalog item. The embedding is created by generating an index, where a number of rows represents a number of catalog items and a number of columns represents a number of fields associated with each catalog item. The index is then denormalized using customer groups and transformed by compressing the number of columns, to create the embedding space. In some configuration, a machine learning model is trained using catalog data. In the embedding space, item similarity is encoded by clustering catalog SKUs into groups in the embedding space, by placing similarly related items close to each other in the embedding space. Catalog items are then searched for in the embedding, with the closest clusters searched for a particular catalog item.

A method of operating a system-on-chip (SOC) including decrypting, by isolated Root of Trust (RoT) code, a Stock Keeping Unit (SKU) license code from a host during bootup of a device. Then validating, by the isolated RoT code, the SKU license code with firmware and at least one built-in key of a plurality of built-in keys from secure storage. Finally, enabling or disabling, by the isolated RoT code, at least one feature set of a plurality of feature sets comprising resources configured at the SOC based on at least one SKU license code which has been decrypted by isolated RoT code using at least one built-in key and authenticated by firmware.

Disclosed herein is a shoebox gripper including: (A) a main body; (B) an adapter at a first distal end of said main body; (C) a pair of grippers at a second distal end of said main body, wherein said pair of grippers comprises a first suction mat and a second suction mat, wherein said first suction mat is substantially perpendicular to said second suction mat; and (D) one or more vacuum tubings gaseously coupled to said pair of grippers.

Provided is a method of providing information by an electronic apparatus, the method including obtaining a first information request for a first item including information on a first quantity of the first item from a first terminal of a first user, identifying that a first stock keeping unit (SKU) corresponding to the first item is one of a plurality of SKUs arranged in first-type zone groups within a plurality of fulfillment centers, determining a product delivery date (PDD) of the first item based on at least one of information on a time of obtaining the first information request, information on a type of a camp corresponding to a first address set as a delivery location by the first user, stock information of the first-type zone groups, and the information on the first quantity, and providing the first terminal with information on the PDD of the first item.

The invention relates to a data processing method and device, equipment and a storage medium. The method is applied to a front end, and comprises the following steps: in response to a modification request of an online table, obtaining to-be-modified commodity data in the online table, and determining position information of the commodity data in the online table; extracting commodity stock unit identifiers and to-be-modified characters which have a corresponding relation from the commodity data, and constructing modified data according to the extracted information and the position information; the rear end is used for querying from a target category database according to the commodity inventory unit identifier in the modification data to obtain category data, and modifying the category data according to a to-be-modified character corresponding to the commodity inventory unit identifier to obtain target data, and the target data carries position information corresponding to the commodity inventory unit identifier; and data rendering is performed in the online table according to the position information in the target data, so that the operation frequency of performing page rendering at the front end is effectively reduced, the operation fluency is further improved, and the user experience is ensured.

An item allocation method of an electronic device is disclosed. The item allocation method may comprise the steps of: obtaining information on a first order including information on one or more items; identifying, on the basis of inventory information of zone groups in a plurality of fulfillment centers, a plurality of zone groups having inventory of one or more stock keeping units (SKUs) corresponding to the one or more items among the zone groups; determining priorities of the plurality of zone groups on the basis of information on packing methods set for the plurality of zone groups and inventory information of the plurality of zone groups; and determining, on the basis of the priorities of the plurality of zone groups, a plurality of allocation methods for allocating the one or more SKUs and a plurality of packing methods for packing the one or more SKUs to minimize the number of parcels for packing the one or more SKUs.

Embodiments of the present disclosure provide a goods picking system, a picking device and a goods picking method. The goods picking system comprises at least one carrying device, a transfer storage area, a control server and a workstation device; the control server is configured to control the at least one carrying device to carry a SKU (Stock Keeping Unit) corresponding to batch order information to a picking point of the workstation according to the batch order information; generate batch picking information using the SKU corresponding to the batch order information, and send the batch picking information to the workstation device; the workstation device comprises: an information indicating device configured to display the batch picking information, so as to facilitate a picker to pick the SKU of a corresponding type and quantity from the carrying device to the transfer storage area; or an automatic picking device configured to pick the SKU of a corresponding type and quantity from the carrying device to the transfer storage area according to the batch picking information. Embodiments of the present disclosure can improve picking efficiency.

The present disclosure provides an agent-based interaction method and device, a storage medium and an electronic device, and relates to the technical fields of artificial intelligence, smart medical treatment, intelligent customer service, smart marketing and the like. The agent-based interaction method comprises: displaying a target page about product resources; in response to an interaction request triggered by a target object, displaying an interaction page and obtaining input information corresponding to the interaction request; processing the input information and the product resources by using an agent to obtain inventory unit information matched with the intention of the target object; determining a target product resource corresponding to the inventory unit information and displaying the target product resource on the interaction page.

The invention discloses a shelf stockout detection method, device and equipment and a medium, and relates to the technical field of shelf detection, and the method comprises the steps: obtaining a plurality of local images of a shelf, carrying out the detection of commodities, vacancies and inventory units of the images, and outputting a detection result; splicing the images and fusing the detection results, generating unified detection data, and converting the unified detection data into a structured shelf display sequence according to shelf physical results. If the goods are out of stock, determining the lacked goods by analyzing the information of the goods around the out-of-stock goods location; if not, the historical shelf display data is called, and the missing commodities are delimited in combination with the structured shelf display sequence and the position intersection area. In this way, the problems that a traditional method depends on a fixed template, and layout changes are invalid are solved, high-precision positioning of a stockout area and accurate recognition of missing commodities under the scene that the shelf layout frequently and dynamically changes are achieved, the robustness and continuous availability of a system are improved, manual intervention is reduced, and the long-term maintenance cost is reduced.