17results about How to "Improve order processing efficiency" patented technology

The invention relates to the technical field of order processing, and discloses a member order processing method, device and equipment and a storage medium, and the method comprises the steps: collecting multi-platform member information, constructing a member graph structure, and carrying out the node feature extraction, and obtaining a multi-dimensional member feature vector; performing feature fusion on the multi-dimensional member feature vector and the to-be-processed order data to obtain a member-order fusion feature vector; order classification is carried out to obtain an order classification result and a processing priority; performing multi-platform collaborative integer programming and solving to obtain a cross-platform order allocation scheme; performing member value evaluation to obtain a dynamic member value score and hierarchical division information; and inputting the dynamic member value score and the hierarchical division information into a dynamic right and interest distribution model based on the deep Q network for right and interest distribution strategy optimization to obtain a personalized member right and interest combination, and the method can comprehensively utilize multi-platform data to realize intelligent order processing and dynamic right and interest distribution.

The invention relates to a business data management method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps of obtaining business data of a product, and performing feature extraction to obtain an extracted business feature vector; the business data comprises the order quantity, the serial number of the minimum stock unit of the product, the quantity of the minimum stock unit and the storage timestamp; clustering different products based on the service feature vectors to obtain a preliminary clustering result; using the product orders and the minimum inventory units as nodes to construct a graph neural network, and further clustering and combining the preliminary clustering results through the trained graph neural network to obtain a final clustering result; and according to the final clustering result, calculating a corresponding shortest sorting path. By adopting the method, the utilization rate of the business data can be improved, so that the cost is reduced, and the business data processing efficiency is improved.

The present disclosure relates to a method, device, cloud printer and medium for processing order data of a cloud printer. The method includes: a first server receives a processing request from a user for an order placed from a service platform for providing catering and / or commodity services; the first server obtains order-related information of the target order according to the processing request, and sends the order-related information to the cloud printer; the cloud printer voice broadcasts or prints order-related text generated based on the order-related information; in response to a target button being triggered, the cloud printer sends first feedback information for the order-related information to the first server, and the first feedback information is used to request the order-related function of the first server and / or to reply to the ordering user of the target order. In this way, by setting the buttons on the cloud printer, printing or voice broadcasting the order-related text, richer interactive functions are achieved, and the capabilities and intelligence of the cloud printer are improved.

The invention discloses an e-commerce order processing method and system based on artificial intelligence, and relates to the technical field of e-commerce order processing. Comprising the following steps: acquiring order data from an e-commerce platform, and preprocessing the acquired order data; performing feature extraction on the order data, and performing feature fusion by using a big data processing technology to obtain comprehensive feature data; constructing a multi-layer detection model to perform anomaly detection on the extracted features, and based on an anomaly detection result, automatically processing an abnormal order by using an RPA technology and an intelligent contract; according to the invention, the big data processing technology and the machine learning algorithm are utilized to carry out preprocessing, feature fusion, anomaly detection and deep analysis on order data, the order processing efficiency and accuracy are improved, and the system can automatically identify and classify user problems through the application of the natural language processing technology, so that the user experience is improved. Not only is the automation level of order processing improved, but also inventory management and marketing strategies are optimized.

The embodiment of the invention discloses a waybill delivery method, device and equipment, a computer readable medium and a program product. A specific embodiment of the method comprises the following steps: in response to a monitored waybill number, generating a message queue, and screening out a first target order supporting order automatic delivery processing from a first order set; for each first target order, executing a processing step: determining a logistics track corresponding to the first target order; according to the logistics track, determining whether a waybill corresponding to the first target order is collected; in response to determining that the waybill is collected, executing automatic delivery processing of the corresponding waybill; in response to the monitored waybill collection message queue, screening out a second target order supporting automatic order delivery processing from the second order set; and executing automatic delivery processing of the corresponding waybill. The implementation mode is related to intelligent logistics, the delivery state of the order can be updated in time by monitoring the waybill number generation message queue and the waybill collection message queue at the same time, and the delivery efficiency is improved.

The invention relates to an order data processing method and device of a cloud printer and the cloud printer. The method comprises the steps that a cloud printer can be connected with a first server through a communication network to process a processing request of order information ordered by a user from a service platform providing commodity service, and the cloud printer prints second guide content, comprising at least one of an identification code image used for guiding a merchant to set a printing format of the cloud printer, an identification code image used for guiding the merchant to bind the cloud printer with a store, and an identification code image used for displaying an operation guide of the cloud printer. And a merchant terminal scans the identification code image to quickly enter an interface for setting the printing format of the cloud printer, or an interface for binding the cloud printer and a store, or an interface for displaying an operation guide of the cloud printer. Richer interaction functions are realized, and the capability and the intelligent degree of the cloud printer are improved.

The invention belongs to the technical field of material detection and order management, and relates to an automatic order distribution method for detection orders, a management platform, a storage medium and equipment, and the method comprises the steps: order preprocessing, order distribution rule presetting, order distribution according to the rule, order distribution result recording and order tracking. According to the method, a user demand order is converted into a standardized experiment list, project information in the experiment list and equipment standardized performance description of each laboratory are mapped, an available laboratory list is screened out, historical data of the laboratory are combined, factors such as a predicted experiment period, express delivery duration, a gross profit rate and laboratory scores are comprehensively considered, and the experiment efficiency is improved. A weighted total value of each laboratory is obtained through a weighting algorithm, and a user demand order is automatically and seamlessly docked to a selected target laboratory by combining an order distribution funnel and obtaining an optimal order dispatching strategy, so that efficient and accurate docking of a service supplier and a service demander is ensured, and the optimal balance of improving order delivery efficiency and delivery quality and improving profit rate is achieved.

The disclosed embodiments provide an order processing method, apparatus, scheduling equipment, warehousing system and storage medium. The order processing method comprises: for each order in the current order set, classifying each order in the current order set according to the storage parameters of the mobile shelves of the workstation and the number of material boxes required for each order, wherein the number of material boxes required for orders of the first category is 1, the number of material boxes required for orders of the second category is greater than 1 and less than the first number, and the number of material boxes required for orders of the third category is greater than or equal to the first number; for the current order set, excluding each category of the third category, combining each order of the category to obtain a combined order of each category corresponding to the current order set; allocating a workstation to each order of the third category in the current order set and each combined order to carry out order transportation, thereby improving the order processing efficiency through the category-based order grouping strategy.

The invention relates to an order processing method and device, a storage medium and electronic equipment, and particularly relates to the technical field of intelligent warehousing, and the method comprises the steps: firstly obtaining an idle virtual grid in a sowing wall; the order task of the order is bound to the virtual grid, first indication information is sent, and the first indication information is used for indicating that the state of the container of the order is a pre-dispatch state; and then, when it is detected that an idle real grid appears in the seeding wall, the order task is changed and bound to the real grid. According to the technical scheme, the order task can be bound to the virtual grid in advance by utilizing the virtual grid in the sowing wall, so that the container of the order can be carried in advance, the carrying efficiency of the container can be improved, the waiting time of a workstation in the order task carrying process is shortened, the working efficiency of the workstation is improved, and the working efficiency of the workstation is improved. And the order processing efficiency is improved.

The invention discloses a parcel order processing method, apparatus and device, and a storage medium. The method comprises the steps of obtaining a target delivery address of a target parcel; identifying target zoning information of the target parcel based on the target delivery address; obtaining a historical zoning database; the target delivery address is analyzed based on a historical zoning database to determine effective zoning information of the target package, and the effective zoning information comprises an effective zoning name and an effective area code corresponding to the effective zoning name; obtaining a parcel interception condition database; obtaining a target processing mode of the target package based on a matching result of the effective zoning information of the target package in a database including interception conditions; and processing the target package based on the target processing mode. According to the method, the delivery address identification accuracy can be improved, so that the parcel processing mode can be determined more accurately, and the processing efficiency and the processing effect are improved.

The present disclosure relates to an order processing method, device, storage medium and electronic device, so as to avoid users from repeatedly sending order requests after the interface of the ticket supply system returns to normal from abnormality, thereby improving the order processing efficiency. The order processing method comprises: determining that the interface of the ticket supply system is abnormal; saving the order information used to initiate a request to the ticket supply system into an acquiring cache; if the interface of the ticket supply system returns to normal, sending a request to the ticket supply system according to the order information in the acquiring cache.

The application provides an information processing method, device, equipment and storage medium. The information processing method comprises the following steps: determining whether to provide a new delivery address option for a to-be-purchased object of a user according to a preset rule; if yes, generating a first to-be-ordered order page with the new delivery address option; receiving a new delivery address provided by the user in response to the user selecting the new delivery address option; generating a second to-be-ordered order page according to the received new delivery address, wherein the second to-be-ordered order page respectively displays a user delivery address and a to-be-purchased object of the user delivery address, and a new delivery address and a to-be-purchased object of the new delivery address; and pre-generating N mutually independent orders corresponding to N delivery addresses selected by the user by a local device in response to the user submitting an order request on the second to-be-ordered order page. The application provides the new delivery address option when the user shops, and reduces the processing pressure of the server in processing the user multi-address order.

The invention discloses a multi-platform order processing method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an order processing request of an upstream system, determining a target order ID and a target order type according to the order processing request, and determining a target order Pod according to the target order type; distributing the target order ID to a target order Pod, enabling the target order Pod to obtain target order data according to the target order ID, and forwarding the target order data to a corresponding target order processing system; and performing order logic processing on the target order data through the target order processing system, and returning a processing result to the upstream system through the target order Pod. The order processing efficiency and the order data safety are improved, and the method can be widely applied to the technical field of data processing.

The embodiments of the present disclosure disclose an early warning method, device, electronic device and computer-readable medium. A specific implementation of the method includes: obtaining a target feature vector for characterizing order conditions; inputting the target feature vector into a pre-trained information prediction model to obtain early warning information corresponding to the target feature vector; pushing the early warning information to a target device with a display function, and controlling the target device to display the early warning information. This implementation constructs a target feature vector that characterizes personnel conditions, order details and other factors related to the order situation to solve the problem of untimely processing of orders in stores. An information prediction model is obtained by training based on a set of annotated historical target feature vectors, and the target feature vector is input into the information prediction model, which can quickly and accurately generate store order backlog early warning information, improve the store's order processing efficiency, and improve the level of order management.

The embodiments of the present application disclose an information processing method, an apparatus, an electronic device, and a storage medium, which obtain a first order from a target customer, determine a first target time for processing the first order based on the first order; determine a probability of obtaining a second order from the target customer within the first target time based on the first order; determine the cost of processing the first order and the second order within the first target time based on the second order and the probability, so as to determine whether to perform aggregate processing on the first order and the second order within the first target time.

The embodiments of the present disclosure disclose information generation methods, devices, electronic devices, and computer-readable media. A specific implementation of the method includes: in response to the existence of at least one candidate slot in the target workstation and the existence of a target order in the order set, determining the pending order group of each candidate slot in the at least one candidate slot, and obtaining a pending order group set, wherein the target order is an order whose corresponding order type is the same as the processable order type of the target workstation; based on the pending order group set, generating a turnover box information set; according to the turnover box information set, adding tasks to each target vehicle in the target vehicle set; in response to the completion of the task addition to each target vehicle in the target vehicle set, determining the task route information corresponding to each target vehicle in the target vehicle set, and obtaining a task route information set. This implementation improves the order processing efficiency and the turnover rate of goods in the warehouse.