478 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.

According to the order production control method and device, the electronic equipment and the storage medium provided by the invention, the order information of the order, the process plan information of the order and the working center information of the working center are acquired, and the working center is used for producing products of the order; decomposing the order into a plurality of processes according to the process plan information, and determining the time required by each process of each order; calculating the earliest starting time of each process of each order according to the order information and the required time; and generating a production scheduling scheme based on the earliest start time and the work center information, and controlling the work center to work based on the production scheduling scheme to produce the order, so that the automation degree of order processing and production scheduling can be improved, and human errors and delay are reduced.

The invention provides an order data processing method and device, equipment and a storage medium. Relates to the technical field of data processing. The method comprises the steps of obtaining an order image in response to an order identification trigger operation of a user on a preset operation interface; performing keyword recognition processing on the order image by adopting an optical character recognition technology to obtain a plurality of keyword recognition results; according to the plurality of keyword identification results, determining an order number and order attribute information of at least one order corresponding to the order image; generating an order confirmation interface according to the order number and the order attribute information of the at least one order, and displaying the order confirmation interface; determining a target order number and target order attribute information of at least one order in response to confirmation and / or modification operation of a user on the order confirmation interface; and according to the target order number and the target order attribute information of the at least one order, updating a pre-stored order table.

Provided are an order processing method and apparatus and a warehousing system. The method comprises: acquiring a set of orders to be processed (202), said set comprising a plurality of orders to be processed; on the basis of order information of the plurality of orders and warehouse goods information of a plurality of storing apparatuses in a warehousing area, determining pre-hit information (204), the pre-hit information comprising a matching relationship between the orders and the storing apparatuses; on the basis of the pre-hit information, determining a first target storing apparatus from amongst the plurality of storing apparatuses, and determining a first target order that hits the first target storing apparatus (206); and controlling a target handling device to move the storing apparatus hit by the first target order to a target workstation, and controlling the target workstation to execute a picking task (208).

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 relates to the technical field of order management, in particular to an intelligent material order management method and system, and the method comprises the following steps: based on collected order data, analyzing the feature expression of the order data through an auto-encoder, comparing the feature data with newly input order data, and calculating a difference value; and marking the order with the difference value exceeding a threshold value to generate an abnormal order identifier. According to the invention, the self-encoder is used to deeply analyze order data, automatically identify orders having significant differences with normal data, and carry out abnormal marking in real time, so that execution errors are effectively prevented and fraud risks are reduced, and the application of the long and short term memory network further enhances the prediction capability of abnormal order behaviors. Through the analysis of the time sequence data, the potential order execution problem can be tracked and predicted, the constructed dynamic relation graph between the materials and the orders provides a global view for the material flow and inventory management, and the optimization of the material use and the cost control are promoted.

A system and method for managing latency of messages in an exchange system to address technical advantages in certain market participant hardware are disclosed. In one implementation, the system may include an exchange system, and a set of instructions, to cause a processor of the exchange system identify an order type susceptible to technical advantages certain market participants may possess and to apply a re-ordering of, and / or a fixed or random latency to, all orders of the identified order type during a predetermined time of a trading day.

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 invention relates to an order completion method, system and device and a medium. The method comprises the steps of obtaining an order of a user; on the basis of a keyword matching method, according to the content of the order, identifying an order type; according to the order type, detecting a key item of the order, and when it is detected that the key item is incomplete, triggering an outbound system; wherein the outbound system is used for establishing dialogue contact with a user; receiving a user reply returned by the outbound system, and inputting the received user reply into a large language model for intention recognition to recognize necessary information; and the necessary information is complemented to the corresponding incomplete key items, and complete order information is generated. According to the method, necessary information provided by the user can be efficiently identified and extracted, so that missing key items are complemented, and the integrity of order information is ensured.

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 embodiment of the invention relates to an order viewing method and device, equipment and a storage medium. The method comprises the steps that a home page of a target application is presented, the home page comprises a preset function area, and the function area comprises an order assembly and a plurality of service entrances arranged according to a preset style; and displaying description information associated with the order state of the at least one order in the order component in response to the fact that the target application comprises the at least one order in progress. In this way, the embodiment of the invention can support the user to check the information associated with the order state more efficiently.

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 present application provides an order processing method and apparatus, an electronic device, and a machine-readable storage medium. The method comprises: acquiring information of one or more original orders; for each of the one or more original orders, performing correlation analysis on goods of the original order to determine the correlation between the goods; on the basis of the correlation between the goods, splitting the original order to obtain at least one sub-order, wherein in the same order, the higher the correlation between goods is, the higher the possibility of splitting the goods into the same sub-order is; and on the basis of the goods similarity between the sub-orders, performing wave picking on a plurality of sub-orders split from the one or more original orders, and assigning the grouped sub-orders to workstations for execution in waves, wherein the higher the goods similarity among the plurality of sub-orders is, the higher the possibility of grouping the plurality of sub-orders into a same wave is. The method can effectively improve the order processing efficiency.

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.

The invention provides an order flow processing method and device, equipment and a storage medium. The method comprises the following steps: receiving a process adding instruction sent by terminal equipment, wherein the process adding instruction comprises order features, a to-be-added sub-process and a front sub-process; obtaining task states corresponding to the order features and the front sub-processes in the task queue; if the task state is completed, target task information corresponding to the to-be-added sub-process is written into the task queue, so that a processing node corresponding to the to-be-added sub-process reads the target task information, the to-be-added sub-process is executed according to the target task information, and the to-be-added sub-process is executed in response to the completion of execution of the to-be-added sub-process. Changing the task state of the target task information to be completed; and in response to the fact that the task state of the target task information is completed, executing the order feature and a subsequent sub-process corresponding to the front sub-process. According to the method, the technical problem that the flexibility of the current order processing process is relatively low is solved.

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 discloses a general order state machine and system based on multiple categories of an SAAS platform. The invention relates to the technical field of SAAS platforms. Loading a state machine engine configuration file, and initializing a state machine engine environment; scanning and registering a processor, and constructing a processor mapping table according to dimensions of multiple states, multiple channels and multiple events; after a new order state circulation request is received, related information is acquired from the context according to the order ID and the current state in the request. Reading and analyzing a configuration file of the state machine engine, wherein the configuration file comprises an initialization parameter, a state definition, an event definition and a state conversion rule of the state machine engine; according to parameters in the configuration file; according to the invention, through clearly defined states and conversion rules, the whole flow of designated driving service becomes more standard and controllable, and the possibility of human intervention and misoperation is reduced. The automatic execution of the state machine engine enables the order state to quickly and accurately respond to various events and conditions.

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 present application provides a method, device, electronic device and storage medium for order allocation, wherein the method includes: receiving a service request sent by a service request end, and generating a current order based on the service request; extracting the current order content in the current order, and determining the conditional probability of each order category label appearing under the condition of the current order content appearing based on the current order content and a pre-built Bayesian network model; determining the order category label matching the current order according to the conditional probability corresponding to each order category label; determining the service provider matching the current order according to the order category label matching the current order, and allocating the current order to the service provider. Through the above method, the efficiency of order allocation and the utilization rate of service resources can be improved.

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.