48 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 system is provided that determines reserve inventory units required for each promotional campaign. Based on one of input parameters to meet defined parameters for defined amount of inventory units for one or more specified durations until end of a specified upcoming time-frame, inventory units are allocated from defined amount of inventory units among each inventory utilization type. Incremental value of revenue from each inventory utilization type is optimized and ratings for previously allocated inventory units assigned to a promotion inventory utilization type is increased. Previously allocated inventory units are periodically adjusted and re-distributed among each inventory utilization type based on difference in demand value of an estimated inventory units forecasted for upcoming specified duration and actual value of the inventory units for current duration. Based on remaining inventory units and each inventory utilization type, schedule of a channel is communicated to a user device, via a network.

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.

The invention is directed to a computer-implemented system (100) for facilitating generation of sales order in a retail outlet, the system (100) comprising an interface module (210) for providing a platform interface on a computing device to allow user interaction with the system (100) through the platform interface; an inventory database for storing a list of merchandise items, each of the items is identified by a Stock Keeping Unit, SKU; a task module (220) configured for creating and managing a task by the user for merchandising the merchandise items, the creation of the task comprises specifying visiting schedule of a merchandiser to the retail outlet; a sales record module (230) for storing sales historical data of the merchandise items coupled to the associated SKU in the retail outlet; a stock aging module (240) for storing and displaying outlet stock quantity (OS) of the merchandise items at the retail outlet, the stock aging module (240) is further configured for receiving update on the outlet stock quantity (OS) of the merchandise items by the user; a sales ordering module (260) for creating a sales order of the merchandise items, wherein the sales ordering module (260) is configured for providing the merchandise items associated with the task for including in the sales order, and providing a proposed number to be ordered for each of the merchandise items in the sales order, wherein the proposed number to be ordered is calculated based on the outlet stock quantity (OS), the sales historical data, and the visiting schedule of the merchandiser in the task, submitting the sales order in the system (100) upon confirmation by the user.

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.

A product management method and apparatus, a computer readable storage medium, and an electronic device, relating to the technical fields of computers and communications. The method comprises: acquiring, by means of a warehouse management system or a smart shelf, a product quantity in a display area and a maximum product display quantity in the display area, so as to obtain a product shortage quantity in the display area; acquiring, by means of the warehouse management system or the smart shelf, a product stock quantity in a warehouse; acquiring a product replenishment quantity according to the product shortage quantity in the display area and the product stock quantity in the warehouse; sending the product replenishment quantity to a personal digital assistant; and receiving stock keeping unit information input by a worker by means of the personal digital assistant, so as to acquire goods location information of the product, so that the worker completes the replenishment of the product according to the goods location information and the product replenishment quantity, wherein the product replenishment quantity is less than or equal to the product stock quantity in the warehouse.

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.

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.

Disclosed are a method for allocating orders to an automated guided vehicle (AGV) area and an electronic apparatus therefor. According to the present disclosed method for allocating orders, with respect to customer orders for one or more first items having an expected shipping date (ExSD) set to a first time point and allocated to a first fulfillment center, from among items classified by an AGV stock keeping unit (SKU), if an AGV area can process all of the customer orders for the first items, the customer orders for the first items may be allocated to the AGV area, and if the AGV area cannot process all of the customer orders for the first items, the customer orders for the first items may be post-processed.

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 present disclosure relates to a method, an apparatus, and a recording medium for inventory management. The method for inventory management, which is performed by an electronic apparatus, according to an embodiment of the present disclosure may comprise the steps of: identifying a warehouse group including one or more warehouses; determining first inventory quantities and first inventory ages for respective warehouses and stock keeping units (SKUs) at levels of the one or more warehouses; determining second inventory quantities and second inventory ages for respective SKUs at a level of the warehouse group; and executing an audit for verifying matching between the first inventory quantities and the second inventory quantities.

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.