203 results about "Order form" patented technology

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 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.

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 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 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.

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.

The invention relates to the field of logistics, and discloses an order batch processing method, device and equipment and a storage medium, and the method is used for batch processing of logistics orders and optimization of processes and priorities. The method comprises the following steps: receiving order data, and extracting sender names, telephone numbers, addresses, order placing time and order state information of a plurality of orders in the order data; when an association operation instruction is received, generating a to-be-priced association order list and a to-be-printed association order list of each sender; for each sender, using a pre-trained priority scoring model to obtain a priority score of each associated order list to be subjected to price checking; sorting the associated order lists to be subjected to price checking according to the priority scores, checking the order weight and freight of each order in the associated order lists to be subjected to price checking, and adding the order marks passing the checking into the associated order lists to be printed of the corresponding senders, and whether a printing instruction is generated or not is determined according to the order number in the to-be-printed associated order list.

The invention discloses an order processing method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of determining a declaration priority of each warehouse based on received warehouse productivity data corresponding to a to-be-declarated order set; according to the declaration priority of each warehouse, setting an order declaration strategy of each warehouse; and performing declaration processing on the to-be-declarated orders in the to-be-declarated order set based on the order declaration strategy of each warehouse. According to the embodiment of the invention, the declaration priority of each warehouse is dynamically adjusted according to the warehouse productivity data, the declaration strategy is dynamically adjusted according to the declaration priority, order declaration is carried out based on the productivity gap, the order declaration efficiency is improved, warehouse order overstock is avoided, and the warehouse operation speed is improved.

The application provides an order consumption calculation method and device applied to the field of advertisement putting, wherein the order consumption calculation method comprises the following steps: obtaining order data of all orders in a database; determining orders meeting a calculation consumption condition from all orders according to a settlement rule record table and the order data; and calculating order consumption corresponding to the orders meeting the calculation consumption condition according to the settlement rule record table and order data corresponding to the orders meeting the calculation consumption condition. In the above scheme, the orders meeting the calculation consumption condition can be filtered out from all orders according to the settlement rule record table and the order data, so that the order consumption of only the orders meeting the calculation consumption condition is calculated, and the order consumption of all orders does not need to be calculated, thereby the calculation amount and time consumption of the order consumption process can be reduced.

Systems and methods are disclosed for transforming an order intent into a legally instantiated order prior to admission into a trading system. The system comprises an order intent interface implemented as network-connected computing hardware configured to receive order intents representing non-executable expressions of trading interest, a compliance control plane comprising one or more processors configured to evaluate admissibility predicates and issue validity artifacts, and an order instantiation module configured to deterministically transform order intents into legally instantiated orders upon validation of validity artifacts. Order intents and legally instantiated orders are stored in separate memory regions, and only legally instantiated orders may be admitted to trading shards for routing, matching, and execution. The system enforces a logical state model with states S0 through S4 and permits only defined state transitions, structurally preventing executable orders from existing until admissibility has been established. The system provides fail-closed operation wherein compliance unavailability prevents order instantiation, ensuring legality-before-existence semantics for all executable orders.

The invention discloses a warehouse logistics distribution method and system based on order tasks, a terminal and a medium, and relates to the technical field of warehouse logistics distribution. According to the main technical scheme, the order tasks which cannot be completed are eliminated in advance by pre-judging whether the inventory meets the order task requirements or not, so that the aim of reducing invalid operations is expected to be achieved. Under the condition that the inventory is limited, the optimal order combination is selected through mathematical modeling (the maximum order completion number), so that the aim of improving the order completion efficiency is expected to be achieved. A material integration route with the shortest advancing time is constructed, unnecessary moving and waiting time is shortened, and the aims of improving the warehousing operation efficiency and reducing the labor and equipment operation cost are expected to be achieved. The order tasks capable of completing material distribution are processed in batches, so that the purpose of improving the material distribution efficiency is expected to be achieved. Each material has a serial number during sorting, and can accurately correspond to a specific order task, so that the purpose of reducing the order task distribution error rate is expected to be achieved.

The invention provides a scheduling duration adjustment method and device based on a gain model, a product and a medium. The method comprises the steps of obtaining a to-be-distributed delivery order set with an association relationship; constructing an order relation graph of the order set; inputting the order relation graph into a gain model, so that the gain model extracts a graph embedding vector of the order relation graph based on a graph neural network, and predicts a gain value corresponding to each order under one or more predefined duration adjustment strategies for each order based on the graph embedding vector; the duration adjustment strategy comprises a strategy for performing duration adjustment on the initial scheduling duration; the gain value characterizes the probability gain that the order and other orders in the order set are distributed to the same delivery capacity relative to the non-execution of the order execution duration adjustment strategy; and determining a final adjustment strategy of the initial scheduling duration of the order according to the gain value of the order.

The invention provides an order dynamic allocation method and device, a server firstly establishes a workstation order allocation rule base, the workstation order allocation rule base comprises a rule management mapping relation set and a sowing position allocation mapping relation set, the rule management mapping relation set is used for determining allocation rules corresponding to orders, and the sowing position allocation mapping relation set is used for determining sowing position allocation rules corresponding to the orders; the sowing position distribution mapping relation set is used for determining a sowing position corresponding to the order; and then the target seeding position of the to-be-processed order is determined according to the work station order distribution rule base, so that efficient and accurate determination of the target seeding position in each scene can be realized, and the conflict condition that a single order is matched to a plurality of seeding positions or a plurality of orders are matched to a single seeding position is effectively avoided.

1. Name of the product in this design: Order reassignment module for order viewing graphical user interface for electronic devices. 2. Intended use of this design: for use in an electronic device. 3. The key design features of this product are: the interface content expressed by non-dashed lines in the graphical user interface. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: The overall graphical user interface of this design is used to view orders, and the protected part is used to reassign orders to other drivers when an order has been accepted. In each design, users can select additional service providers in the interface shown in the main view and click the "Add closer drivers" option, and the interface will change to the interface shown in the change state diagram. 7. Other situations requiring explanation: Other explanation: "X" in the interface represents a text, number, or symbol area. The parts indicated by dashed lines in each design are the content for which protection is not sought.

Embodiments of the present disclosure provide an order processing method, apparatus, device, system, medium, and product. The method includes: obtaining a target order to be processed and determining a quantity of types of goods in the target order; dividing the target order into a plurality of sub-orders according to the quantity of types of goods and assigning different workstations for the sub-orders; and sending the sub-orders for which the workstations have been assigned to the corresponding workstations for processing.

The invention relates to an order display method and device, computer equipment, a storage medium and a program product. The method comprises the steps of displaying order information in a target area of an order list page in response to received order information; and if target demand information is identified in the order information, displaying a target graphic identifier in a target area where the order information is located, determining a work order type and a work order execution requirement based on the target demand information, generating a target work order based on the work order type and the work order execution requirement, and sending the target work order to a corresponding work order terminal. The work order terminal is used for recording relevant information of executing a target work order by each corresponding processing node; and in response to a selection operation for the target graphic identifier, displaying execution information, sent by the work order terminal, for the target work order at each corresponding processing node. By adopting the method, the accuracy, automation and transparency of the order processing process can be realized.

We provide the system. [Solution] A means for analyzing a user's order in natural language using a specific artificial intelligence engine and outputting the order in a specific format, Means for checking the output and adding the order details to the list based on the output, A means of calculating the total amount and notifying the user, A system that includes this.

The invention discloses a collection order picking method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of determining an order type of a to-be-processed order based on acquired to-be-processed order data; based on the order type, determining a set order grouping strategy, and according to the set order grouping strategy, performing order grouping processing on the to-be-processed order to generate a target set order; determining a picking path of the target set order, and picking the target set order based on the picking path; the order type can be automatically judged, the order picking path of the set order is optimized, and the order picking processing efficiency is improved.

The invention relates to the field of freight, in particular to a freight order chain type pushing method and device, equipment and a storage medium. The method comprises the following steps: in response to a selection instruction of a user for an initial order, obtaining a final position and predicted arrival time of the initial order; retrieving from an order pool according to a preset space-time matching rule by taking the end point position as a retrieval origin to generate at least one order sequence, the order sequence including the initial order and at least one subsequent order; wherein the distance between the starting point position of the first order and the ending point position of the second order is smaller than a set threshold value, the starting time of the first order is not earlier than the estimated arrival time of the second order, and the first order and the second order are orders in the same order sequence. The second order is a preorder of the first order; and pushing order information to the user based on the order sequence.

The embodiment of the invention provides an order modification method and device, electronic equipment, a storage medium and a program product. The method comprises the steps that in response to a received order modification request for an original order, an order settlement page is presented, and modifiable order information items are displayed on the order settlement page; determining modified order information based on a modification operation for the order information item, determining settlement information based on the modified order information, and displaying the settlement information on the order settlement page; and in response to an order submission request received through the order settlement page, generating a new order based on the modified order information and the settlement information. According to the embodiment of the invention, support can be provided for a user to flexibly modify various information in an original order.