363 results about "Order form" patented technology

An online system receives from a device associated with a picker, an image of an order delivered at a location associated with the order for a user and accesses a plurality of features about the order to output a likelihood that the delivered order in the received image is erroneous. The online system applies a machine learning model to the received image of the order and the plurality of features of the order. The machine learning model is trained to predict a likelihood that the delivered order is erroneous. The online system determines that the delivered order is erroneous and transmits a warning message to the device associated with the picker about the identified potential delivery error.

The invention discloses an intelligent order management method for a cross-border e-commerce platform, and the method comprises the steps: obtaining the order data of cross-border e-commerce platform merchants in a set time period, and extracting good comment orders; extracting a target order according to the signing time, the receiving confirmation time and the evaluation time of the well-commented order; and determining whether the target order is abnormal according to the evaluation text content of the target order, the commodity browsing duration and the commodity browsing frequency, and when the ratio of the number of the abnormal orders to the total number of the orders reaches a second threshold value, marking that the cross-border e-commerce platform merchant is abnormal. Whether the order is abnormal or not is comprehensively evaluated from the aspects of the good reputation number, signing time, good reputation time, evaluation text and the like of the order of the e-commerce platform, then whether the merchant to which the order belongs carries out the click farming behavior or not can be evaluated, meanwhile, the buyer can be evaluated according to the buyer data of the abnormal order, the abnormal order is recognized from multiple aspects, and the user experience is improved. The order abnormity identification accuracy of the e-commerce platform is improved, and the order management range is expanded.

The invention provides an order intelligent matching and optimizing method and system and a medium. The method comprises the following steps: acquiring order information of all orders of a target platform in a preset time period, extracting and processing to obtain order feature data, processing the order feature data to obtain key feature data, matching corresponding weights, calculating a similarity value between every two orders according to the key feature data and the corresponding weights, and calculating a similarity value between every two orders according to the similarity value. The order matching condition is judged according to the similarity value, clustering processing is conducted on all orders, the target platform is optimized, and therefore the intelligent order matching and optimizing technology is achieved.

The embodiment of the invention provides an order book data construction method and system based on an FPGA, and the order book data construction method based on the FPGA is applied to a programmable logic component, and comprises the steps: obtaining transaction quotation data, and decoding the transaction quotation data; performing data recombination on the decoded transaction market data according to a preset format to obtain market information; and synchronously sending the market information to a target memory and a target cache, and constructing order book data in the target cache based on the market information.

The invention discloses a shoe sole production management optimization method and system based on order demands, and belongs to the technical field of production management, and the method specifically comprises the steps: carrying out the order priority dynamic judgment according to the production complexity corresponding to a shoe sole specification parameter and the emergency degree corresponding to a delivery period in an order information file, and generating a priority sequence; calling the equipment state, raw material inventory and capacity data in the production system, pre-distributing production resources for each order according to the priority sequence, synchronously checking the feasibility of a pre-distribution scheme, and judging whether the pre-distribution scheme has resource conflicts or not; if the resource conflict exists in the pre-allocation scheme, triggering the constructed conflict automatic coordination rule, and generating a conflict-free allocation scheme by adjusting a production batch sequence or splitting batch production; and according to the conflict-free distribution scheme, generating a sole production execution plan corresponding to each order in combination with each requirement in the order information file, and determining starting and ending time and an operation standard of each production link.

The embodiment of the invention discloses a production scheduling method and device on a production line, equipment, a storage medium and a program product, and the method comprises the steps: responding to a triggering event of production scheduling, and determining at least one to-be-dispatched order and the attribute information of the corresponding order; based on the switching time between the orders to be dispatched on at least one production line and the delivery time window of the orders to be dispatched, determining an optimization target representing the shortest remodeling time and the shortest overall overdue time of the orders in the production process; based on the at least one order to be dispatched, the attribute information of the corresponding order and the type of a product produced by the at least one production line, determining a solution space about the production time and the processing procedure of the order; and based on the optimization target and the solution space, assigning the to-be-assigned order as a task to at least one production line, and obtaining a production scheduling period with the shortest order overdue time on each production line. Therefore, the optimal production scheduling scheme can be obtained, and the production scheduling efficiency is high.

The invention provides a wooden door customization order flexible splitting and plate utilization rate optimization method and system, and relates to the technical field of wooden product customization intelligent manufacturing, and the method comprises the steps: carrying out the standardization of customer order data, and generating an order vector and a door style assembly constraint; constructing point cloud data through three-dimensional scanning of the plate and reconstructing the point cloud data into a plate digital model; generating a mapping table based on constraint and order execution door style adaptation; the order data, the mapping table and the plate model are combined, the number of assemblies, splicing ports and the waste rate are optimized through flexible order splitting logic, and an order is decomposed into cuttable door assemblies and matched with specifications; and finally, a correction cutting scheme avoiding defects is generated, a production instruction containing the plate utilization rate is output, efficient resource utilization can be achieved, and material waste and production cost are reduced.

A derived order gives a participant simultaneous access to liquidity across multiple books, destinations, or marketplaces. The derived order can be placed and anchored in one trading venue and simultaneously replicated in another trading venue. A participant can place the derived order in the lit book as an anchor book and replicate the order in the hybrid book and / or the dark book, or alternatively, the participant can place the derived order in the hybrid book as an anchor book and replicate the order in the dark book. A trading engine can be configured to replicate an order in different books and guarantee that each order is only executed once. When an order is replicated, the trading engine can check the stored record to see where the order was placed, and then adjust or cancel an order in one book when it is being fulfilled in a different book.

The invention discloses an order issuing control method and device based on a rule engine and electronic equipment, and the method comprises the steps: extracting effective order information through automatic recognition of order features; then, the orders are classified according to a preset rule, that is, the orders pushed by an upstream system are stored in different data pools based on rule matching through three data pools of rejection issuing, instant issuing and planned issuing; finally, the orders can be issued in order according to the pushing rules of different data pools. Therefore, compared with the traditional method of directly issuing the orders to the downstream system, the method has the advantages that the classified pushing of the orders is realized, so that the flexibility of issuing the orders is improved, the ordered issuing of the orders is realized, the operation pressure of the downstream system is reduced, and the operation stability of the system is ensured; meanwhile, the whole process does not need manual intervention, the efficiency is improved, and the error rate is reduced; therefore, the method is very suitable for large-scale application and popularization.

The invention relates to an order-based interaction method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: in a target time period when a target order is in a target state, when it is monitored that an order initiator of the target order is in an abnormal state, displaying a help receiving inquiry message used for inquiring the order initiator; in response to a help accepting agreement event for the help accepting inquiry message, displaying a notification message that seeking help from the target processing party is started; the target processing party is associated with at least one of the target order and the initiator position of the order initiator. By adopting the method, the exception handling efficiency can be improved.

The invention relates to the related field of online car-hailing scheduling management, and discloses a method and a system for setting an order dispatching radius according to an order value in an order burst scene, a comprehensive value scoring formula is constructed through an order amount and an order source coefficient, and the radius of an order is adjusted according to the relative value. The problems of high complexity and difficulty in manual shooting of radius configuration according to sources and amounts are solved, meanwhile, whether radius adjustment needs to be triggered or not is judged according to indexes of real-time big data statistics, honeycomb and ten-minute time slice dimensions are refined, radius adjustment is performed only under the condition that the demand is greater than supply, and the efficiency is improved. The problem that radius adjustment is not fine enough is solved.

The embodiment of the invention provides a multi-e-commerce platform order circulation method and system based on a sorting optimization algorithm. Wherein real-time state information, priority information and optimization targets of orders are obtained from a plurality of e-commerce platforms, initial weights are dynamically calculated by using the information, a multi-target optimization function is constructed, a preliminary order sorting result is generated, and in the iteration process, weight parameters are monitored and adjusted in real time to adapt to changes; the method comprises the steps of obtaining a real-time sorting result through local optimization and constraint condition correction, generating and distributing an order circulation instruction to each e-commerce platform system according to the real-time sorting result, monitoring an order state in real time during an order circulation period, identifying an abnormality according to a preset rule, and generating a processing instruction for adjustment; according to the technical scheme provided by the embodiment of the invention, the response capability to the order state change is enhanced, the processing efficiency is improved, the data consistency and execution continuity of cross-platform order circulation are ensured, the abnormal condition is effectively identified and processed, and the stability of the order flow is improved.

1. Name of the Design Product: Graphical User Interface for Order Evaluation of Electronic Devices. 2. Use of the Design Product: For electronic devices. 3. Design Key Points of the Design Product: Lies in the graphical user interface. 4. Picture or Photograph Most Indicating the Design Key Points: Front View. 5. Use of the Graphical User Interface: For displaying order status and evaluation. 6. Description of the Changing States of the Graphical User Interface: Click on the card with the order status of "Completed" in the front view to view the changing state diagram 1 of the order details display. Click on "To Be Evaluated" in the changing state diagram 1 to display the evaluation page, such as the changing state diagram 2. After entering the evaluation content in the changing state diagram 2 and clicking "OK", the changing state diagram 3 is displayed to complete the evaluation. 7. Other Situations Requiring Explanation: Other Explanation: X represents replaceable text.

The invention provides an order book reconstruction method and an order simulation matchmaking method using the same, and the order book reconstruction method comprises the steps: carrying out the matchmaking of a transaction reconstruction order book from the forward direction according to the transaction rule of the exchange through employing the item-by-item entrustment and item-by-item transaction data, and restoring each transaction in real transactions, thereby constructing a high-precision matchmaking environment. And on the basis of the reconstructed order book, three external simulation entrustment order simulation matching modes, namely an overprice transaction mode, an independent mode and an interaction mode, are provided, and high-precision matching is provided for external simulation entrustment.

The embodiment of the invention provides an order allocation method and device, electronic equipment, a medium and a product. The method comprises the steps that a to-be-allocated order and allocation factors input by a user are received, the allocation factors are used for determining a constraint condition and an objective function of the to-be-allocated order, and the allocation state of the to-be-allocated order is acquired based on the constraint condition and the objective function, and the allocation state comprises an order receiving state or a non-order receiving state.

The invention discloses a high-density storage system order batch optimization method and system under uncertain factors. The method comprises the steps of obtaining order data and performing preprocessing; inputting the preprocessed data into an order batch sorting model, and carrying out order task allocation according to an output result; and the order batching model is established by combining customer order returning tendency prediction, fusing a dynamic decision rule and a batching clustering algorithm with capacity limitation and taking minimization of all order sorting completion time as an objective function. According to the method, the order batch sorting model fusing the dynamic decision rule and the batch clustering algorithm with capacity limitation is provided, the orders can be batched in real time according to the real-time arrival state and number of the orders and the capacity of the workbench in the order arrival process, the defect of fixed time window batch is avoided, resource allocation can be flexibly adjusted, and the efficiency of batch sorting is improved. The equipment utilization rate is effectively improved; and in combination with customer order returning tendency prediction, the order batch sorting result is more accurate and efficient.

The system allows for flexible configuration of the decision-making criteria required for order processing, and outputs accurate order information based on the configured criteria. [Solution] A program for operating a computer comprising a processor and memory, the program causing the processor to perform the following steps: receiving setting operations for a plurality of judgment items necessary for a first AI model to execute order processing via a user interface; having the first AI model learn the received plurality of judgment items and tuning the first AI model to output order information relating to the order content based on the judgment results for each of the plurality of judgment items; receiving order information relating to the order content and extracting character information relating to predetermined characters from the order information; and inputting the extracted character information into the first AI model and causing the first AI model to output order information.

An online system receives a request from a client device associated with a user to place an order for pickup from a source location during a timeframe and identifies candidate remedial actions associated with the order based on the timeframe and a current time. The system retrieves user data for the user and accesses a machine-learning model. For each candidate remedial action, the system applies the model to predict, based on the user data and order data for the order, a likelihood the user will pick up the order if the candidate remedial action is taken and computes an associated value based on the likelihood. The system selects a remedial action from the candidate remedial actions based on the values, generates, based on the selected remedial action, a message associated with the order that includes a set of selectable options, and sends the message to the client device.

The application discloses an order task splitting and reorganization processing method and device and a storage medium. The method comprises the following steps: constructing an order processing flow model according to order information of to-be-processed orders; dividing the order processing flow into a plurality of first sub-tasks which can be independently executed, and calculating a first priority, a first dependency matrix and a resource consumption vector for the first sub-tasks; acquiring resource state information, and executing a preconfigured merging and splitting algorithm according to the resource state information and the resource consumption vector of the first sub-tasks to generate second sub-tasks which are adapted to a performance node; updating the first priority and the first dependency matrix to obtain third sub-tasks containing a second priority and a second dependency matrix; executing a preconfigured reorganization algorithm to generate at least one task processing sequence; calculating a path score of each execution path in the task processing sequence, and determining a target execution path according to the path score.

The application discloses an order allocation method and device, equipment and a computer readable storage medium, and belongs to the technical field of computers. The method comprises the following steps: acquiring order information of a to-be-allocated consultation order, wherein the order information comprises at least one of symptom information and resource information; determining a target department corresponding to the consultation order based on the order information of the consultation order, wherein the target department comprises at least one candidate service object, and the candidate service object is an object that is currently online and can provide a service matched with the order information; determining a target service object from the at least one candidate service object, wherein the target service object is a service object that can handle the consultation order within a target time length; and allocating the consultation order to the target service object. The target service object determined by the method is relatively accurate, the consultation order is handled in a timely manner, the processing efficiency of the consultation order is improved, and the loss rate of the consultation order is reduced.

The embodiment of the invention provides an order allocation method and device and electronic equipment, and relates to the technical field of warehouse management, and the method comprises the steps: determining risk values of a plurality of workstations and uncompleted order data, the risk values being used for representing that the workstations have man-machine cooperation risks, and the uncompleted order data being used for representing that the workstations have man-machine cooperation risks; the uncompleted order data is used for representing the order processing efficiency of the plurality of carrying devices based on the current order distribution condition; determining an order allocation decision index based on the risk value and the uncompleted order data; determining a plurality of comprehensive scores of the plurality of to-be-allocated orders based on the order allocation decision-making indexes; and according to the plurality of comprehensive scores, allocating a first order to be allocated in the plurality of orders to be allocated to a first workstation corresponding to the first order to be allocated. The first to-be-allocated order is selected in real time according to the order allocation decision-making index to be allocated preferentially, efficient order allocation is achieved, the working efficiency is improved, and the probability of man-machine cooperation risks is reduced.

The invention discloses a multivariate factor optimization production feeding scheduling method and system based on a fuzzy operator, and the method comprises the steps: 1), obtaining an order set and the stock of various materials, and carrying out the ascending sorting according to the sorting reference value of orders, and obtaining an initial order queue; 2) traversing each order in the initial order queue, and performing state updating and state subtraction to obtain an intermediate order queue in which the total consumption of different materials of each traversed order is not greater than the stock and the comprehensive priority score of each traversed order is accumulated to be the highest; and 3) selecting the intermediate order queue corresponding to the highest accumulation of the comprehensive priority scores of all the orders from all the intermediate order queues as an optimal order queue so as to carry out production supply scheduling. The method has the advantages of improving the order punctual delivery rate, improving the comprehensive priority score, shortening the scheduling response time and the like.

The embodiment of the invention discloses an order-based data processing method and device, equipment and a medium. The method comprises the steps that an initiator inputs the weight of a part to be occupied in the total weight of articles needing to be consigned based on an article consignment order interface, a combined order is created and obtained based on the weight of the part, and the created combined order is displayed in the article consignment order interface; accordingly, the participant who has the same or similar travel route as the initiator can input the weight of the part to be occupied in the total weight of the articles needing to be consigned based on the created combined order, and then supplement the created combined order based on the weight of the part to generate a final combined order. According to the technical scheme of the invention, the method achieves the autonomous order combination between the initiator and the participant for the total weight of the to-be-consigned goods, is high in simplicity, and improves the reliability of order-based data processing.

The invention provides a take-out order scheduling method and system, a storage medium and a program product, and relates to the field of personnel or project management, and the method comprises the steps: generating a path network according to the coordinates of a pickup point and a delivery point of a new order; determining a group of geographic grid indexes covering the path network based on a preset grid cell size to obtain a new order path index set; calculating an intersection index set of the new order path index set and the future path index total set of the candidate rider; and when the number of the unique identifiers of the geographic grid indexes in the intersection index set exceeds a preset path matching threshold value, adding the new order into the order sequence of the target candidate rider with the highest comprehensive score, and adjusting the planned path corresponding to the target candidate rider to complete the scheduling of the new order. By implementing the method, the problem of misjudgment of the smoothness caused by path simplification can be relieved, and the matching accuracy of the order and the rider is improved, so that the overall delivery efficiency is improved.

This specification discloses a method, apparatus, computer-readable storage medium, and electronic device for order allocation. Through a pre-trained model, among the unallocated orders, the orders that will be affected by merchant sorting are determined. In this process, it is not necessary to predict the duration required for merchants to sort orders. Instead, the impact of merchant sorting on orders is directly used as the basis for order allocation, effectively avoiding the negative impact on order allocation caused by errors in predicting the duration required for merchant sorting. Thereafter, the affected orders are separated from other orders, and a scheduling strategy different from other orders is formulated for the affected orders. Furthermore, through the method in this specification, it is possible to avoid the scheduling of orders affected by merchant sorting from affecting other orders not affected by merchant sorting, and improve the allocation efficiency and allocation effect of orders affected by merchant sorting and orders not affected by merchant sorting.

The embodiment of the invention belongs to the technical field of artificial intelligence, is suitable for financial or medical field / business scenarios, and relates to an order synchronization method and device, computer equipment and a storage medium, the method comprises the following steps: receiving an order synchronization request sent by a user terminal, the order synchronization request comprising a to-be-processed order; performing queue division operation on the to-be-processed order to obtain a to-be-synchronized order queue; reading the current state information of the system, and constructing a multi-stage consumption queue mechanism according to the current state information of the system; and according to a multi-level message queue mechanism, synchronizing the orders to be synchronized in the order queue to be synchronized to the elastisearch. According to the invention, different types of order synchronization requests can be efficiently processed, the real-time performance and accuracy of order data are ensured, and the system performance and stability are optimized at the same time.

To provide an order placement / acceptance support device capable of facilitating order placement / acceptance activities by sufficient support in an entire order placement / acceptance process.SOLUTION: An order placement / acceptance support device 1 includes: a large-scale language model unit 113 having a large-scale language model specialized in creating order placement / acceptance support information by being trained and adjusted so as to stochastically predict how words or sentences provided in a prompt are likely to occur as natural language on the basis of order placement / acceptance related information of an order placement / acceptance database 121 and so as to generate order placement / acceptance support information; an information reception unit 111 for receiving response information of a user 4 in a conversation with the user 4; an initial setting prompt generation unit 114 that instructs a prerequisite for generating order placement / acceptance information in the large-scale language model; and an order placement / acceptance prompt generation unit 115 that causes the large-scale language model to generate order placement / acceptance support information suited to an order placement / acceptance stage on the basis of the prerequisite.SELECTED DRAWING: Figure 1

The application provides an order processing method and system, an electronic device and a storage medium. The method comprises the following steps: determining at least one to-be-processed order and an optimization target corresponding to the to-be-processed order; inputting information of the to-be-processed order at each production node into a decision optimization model matched with the optimization target, and obtaining an optimization strategy corresponding to each to-be-processed order, wherein the optimization target is used for optimizing a processing flow of the to-be-processed order from at least one dimension, and the processing flow comprises a plurality of production nodes; and processing the to-be-processed order according to the optimization strategy corresponding to each to-be-processed order. In the application, the processing flow of the order is guided by the obtained optimization strategy, which can make each order complete processing under the condition of meeting various expected targets, thereby enhancing the flexibility of order processing, and on the other hand, each link of the production process can be better scheduled through the optimization strategy, so that the optimization strategy can be used as technical support for collaborative production, thereby promoting efficient production scheduling of enterprises.