39 results about "Stock keeping unit" patented technology

The invention discloses a production process scheduling method, system, equipment and medium based on the industrial Internet of Things, and relates to the technical field of industrial Internet of Things data processing, and the method comprises the steps: obtaining a to-be-scheduled production process, obtaining a preset production queue which is composed of a current production task and a plurality of to-be-processed production tasks, obtaining completion time and production information; obtaining environment trend information, obtaining a dynamic correction index, obtaining a process utilization rate, and obtaining a process utilization index based on the correction model, the process utilization rate and the dynamic correction index; obtaining inventory unit time cost and delivery deadline, and obtaining a scheduling index based on the scheduling model, the completion time, the process utilization index, the inventory unit time cost and the delivery deadline; and sequentially arranging the plurality of production tasks to be processed according to the scheduling indexes from small to large, generating a scheduling queue, and executing the production tasks according to the scheduling queue. The method has the advantages of dynamic environment self-adaption, multi-target collaboration and good scheduling effect.

The invention relates to the technical field of intelligent replenishment of catering stores, and discloses an intelligent replenishment method and system for catering stores, and the method comprises the steps: constructing a prediction model based on a gradient boosting decision tree algorithm, constructing brand training data with stores as granularity, constructing a feature project, carrying out the feature screening, and training the prediction model; the method comprises the following steps: constructing a sample set based on stores and materials, obtaining an inventory unit of the last order of the sample set, calculating a replenishment period and a sales amount in a sales starting period, and calculating a thousand yuan amount through the inventory unit, the replenishment period and the sales amount; receiving a replenishment order-placing instruction, inputting a replenishment time range into the trained prediction model, calculating to obtain an estimated turnover of a specified time range part, predicting the consumption of each item in the time range, calculating the actually required replenishment amount, and sending the replenishment amount to the prediction model; and a method combining data analysis and artificial intelligence algorithm prediction is adopted to improve the replenishment management problem of the catering store.

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 method of warehouse management for replenishing and picking inventory in forward pick area of warehouse comprising, receiving replenishment instruction of stock keeping units of inventory items to be replenished in forward pick area, causing storage totes filled with inventory items to move on conveyor in forward pick area, directing Ranger Tote to Person bot to collect storage totes and store on multi-level flow rack, communicating order signal to operator devices and Ranger Assist bot when new order is received from warehouse management server signal, directing RA bot towards drop-off location associated with tote exchange function, wherein RA bot carries order tote comprising second inventory items of new order, and then operating auto tote exchanger at drop-off location to execute tote exchange function in which order tote is collected from RA bot and automatically exchanged with empty tote acquired from multi-level take-away conveyor.

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.

The embodiment of the invention provides an order data processing method, and the method comprises the steps: obtaining order data, and generating a total list based on an inventory unit contained in the order data; then determining commodity attributes corresponding to the inventory unit, and determining a plurality of target goods locations indicated by the total list in the three-dimensional storage area; a first transportation device is controlled to obtain the commodity material box from the target goods allocation, and the commodity material box is transported to a goods cache region corresponding to the commodity attribute; then, in response to input of an execution task corresponding to the order data, second transportation equipment is controlled to obtain a commodity material box indicated by the execution task from a cargo cache region, and the commodity material box is sorted and then transported to a conveying line; and the execution task is processed through the conveying line so as to execute a warehouse-out process corresponding to the order data. Therefore, the relay transportation process of various transportation devices is realized, different transportation devices can fully combine own functional characteristics to execute transportation tasks, and the processing efficiency of order data is improved.

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.

Disclosed in the present application are a supply chain planning method, an apparatus, a computer device and a storage medium. Specifically, the disclosed supply chain planning method comprises: receiving information of an stock keeping unit and information of facilities; receiving information of activities, the information of the activities comprising the information of the stock keeping unit and the information of the facilities; and, according to the information of the stock keeping unit, the information of the facilities and the information of the activities, generating nodes and arcs to form a supply chain planning network, the nodes and the arcs respectively containing the number of the activities and decision variables of a traffic. In this way, supply chain planning can be abstracted into three different object layers and then, according to actual service requirements, constraint and object configuration are performed so as to form a network expression of the supply chain planning, such that a subsequent supply chain planning optimization result can be calculated as a reference for actual decision making.

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.

Embodiments of the present application provide a commodity object-based processing method, device and readable medium, the method comprising: obtaining commodity exception information, the commodity exception information comprising a stock keeping unit SKU of a commodity object and an exception type; matching the commodity exception information according to a matching rule to determine at least one exception type corresponding to a judgment sheet; and analyzing the at least one judgment sheet to determine responsibility attribution information of the at least one judgment sheet. The responsibility attribution information of the at least one judgment sheet can be automatically determined, without manual determination of responsibility, and the processing efficiency can be improved.

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.

Systems and methods for predicting that a stock keeping unit (SKU) is likely to be scrapped and performing preventative actions accordingly. The system receives a request to initiate a process related to predicting scrap likelihood associated with a plurality of SKUs, inputs data associated with each SKU into a trained prediction model, outputs, from the trained prediction model, a prediction value for each SKU, measures the trained prediction model by calculating a set of values, and generates a matrix comprising the calculated set of values. Using the matrix, a threshold prediction value is determined, and each SKU prediction value is compared to the threshold prediction value. Based on the comparison, a SKU of the plurality of SKUs is predicted as likely to be scrapped and at least one of a plurality of preventative actions is performed.

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.

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.

The invention discloses a dynamic material difference intelligent backflushing and multi-mode allocation system for a production process, and belongs to the technical field of industrial manufacturing and informatization. The invention discloses a production process-oriented dynamic material difference intelligent backflushing and multi-mode allocation system, which obtains accounting data through checking, calculates difference in combination with a real quantity input by a user, and intelligently allocates difference quantity according to historical material receiving and returning records of a production order. And dual-mode processing of miscellaneous receiving and miscellaneous sending (indirect cost) and material receiving and returning (direct correction) is supported. And the system performs tail difference correction according to inventory unit precision to ensure that the total adjustment amount is consistent with the difference. The method mainly solves the problems of low efficiency, large error and inaccurate finished product calculation of traditional end-of-month static inventory and manual allocation.

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.

A system 300 comprising a grid framework structure 310 (and 14, Fig 1) having a picking device 320 comprising telescopic extending / retracting arms. Device 320 grips a first container type 340 at a first location 350 and moves it to a second location 360 or an intermediate conveyor 380, where a second container type 370 is positioned. First container type 340 is placed / inserted / nested within the second container type 370 (also see Fig 5A &B). Lift 340 raises second container type 370 along a side of the grid framework structure and towards the top thereof, or lowers it towards a second location 360. Picking device 320 then removes the first container type 340 from the second type 370 before moving and placing the first container type 340at a first location 350. System 300 may further comprise image or weighing means, a stock keeping unit and an image interface. An associated method and computer program are also disclosed.

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.