TW202347243A - Method for processing order and apparatus thereof - Google Patents

Abstract

A method for processing an order according to some embodiments of the present invention may comprise the steps of: identifying a new order that includes pick-up location information; determining, on the basis of the pick-up location information, an order assignment pool including a first terminal in an idle state and a second terminal that is in a state of making a delivery and will complete an assigned order within a first threshold time; determining, on the basis of state information of each of a plurality of terminals included in the order assignment pool, a first temporarily assigned terminal matching the new order from among the plurality of terminals; and assigning the new order to one of the plurality of terminals on the basis of the state information of the first temporarily assigned terminal.

Description

Order processing methods and devices

The invention relates to an order processing method and its device. More specifically, a method of efficiently allocating new orders to delivery performers and an apparatus for executing the method are provided.

With the expansion of non-face-to-face services brought about by various environmental factors, the market size related to delivery services is growing rapidly. Platform operators that provide delivery services to cater to this growth are making various efforts to expand the number of users of their platforms. As part of this effort, platform operators are diversifying the platform in order to lower the threshold for accessing delivery services and enable demanders to sometimes perform the role of delivery executors.

In response to the continued growth of the market related to delivery services, platform operators need to create a platform that satisfies all entities involved in delivery services. As an example, in order to satisfy all parties involved in a delivery service, a technology is needed to efficiently handle the distribution of new orders.

[Problem to be solved by the invention]

The technical problem to be solved by some embodiments of the present invention is to provide a method for effectively allocating new orders and a device for executing the method.

Another technical problem to be solved by some embodiments of the present invention is to provide a method to provide fast delivery to demanders, provide fast delivery to suppliers, and provide appropriate delivery to delivery performers by effectively allocating new orders. A method for allocating delivery opportunities and providing a device for executing the method.

Another technical problem to be solved by some embodiments of the present invention is to provide a method for activating a platform that provides delivery services and a device for executing the method.

The technical problems of the present invention are not limited to the technical problems mentioned above. Those with common sense in the technical field of the present invention can clearly understand other technical problems not mentioned above based on the following description. [Technical means to solve problems]

In order to solve the above technical problems, the order processing method of some embodiments of the present invention is performed through an electronic device, which may include: the step of identifying a new order including pickup location information; based on the above pickup location information, determining whether the order includes The steps of the order allocation pool of the first terminal in idle state and the second terminal in delivery state and in the state of completing pre-allocated orders within the first critical time; based on the plurality of terminals included in the above order allocation pool Steps to determine the first temporarily allocated terminal among the plurality of terminals that matches the new order based on their respective status information; and allocate the new order to the first temporarily allocated terminal among the plurality of terminals based on the status information of the first temporarily allocated terminal. Any of the steps.

In some embodiments, the step of determining the order distribution pool may include the following steps: based on the pickup location information, excluding terminals located beyond the reference distance of the new order pickup location from the order distribution pool.

In some embodiments, the step of determining the above-mentioned order allocation pool may include: the step of calculating the remaining completion time of the above-mentioned pre-allocated order in the above-mentioned second terminal; and if the above-mentioned remaining completion time is less than the above-mentioned first critical time, then the above-mentioned first critical time 2. The terminal is included in the steps of the above order allocation pool. Here, the step of calculating the above remaining completion time may include: calculating the above remaining completion time based on the location of the above-mentioned second terminal and the delivery location information of the above-mentioned pre-allocated order; or based on the location of the above-mentioned second terminal, the above-mentioned pre-allocated order. Allocate the delivery location information of the order and the delivery location information of the above-mentioned new order, and calculate the above-mentioned remaining completion time. Furthermore, here, the step of calculating the remaining completion time may also include the step of calculating the remaining completion time based on the delivery method corresponding to the second terminal.

In some embodiments, the above-mentioned status information may include order allocation status, location, delivery method, remaining completion time of pre-allocated orders, predicted pickup time of the above-mentioned new orders, order allocation rejection rate, number of completed orders, order allocation Information on at least one of the waiting time and the online connection time of the order allocation application. Here, the step of determining the first temporarily allocated terminal may include the following steps: determining any one of the plurality of terminals as the above-mentioned first terminal based on the calculation of the items included in the above-mentioned status information and the weighted values corresponding to the above-mentioned items. 1 Temporarily allocate terminals.

In some embodiments, the step of determining the first temporarily allocated terminal may include: calculating the predicted pickup time of each of the plurality of terminals; and determining the terminal with the fastest predicted pickup time as the first temporary terminal. Steps to allocate terminals. Here, the step of calculating the predicted pickup time may include the following steps: calculating the predicted pickup time based on the location of the first terminal and the pickup location information of the new order, or calculating the predicted pickup time based on the location of the second terminal, the above The above predicted pickup time is calculated based on the delivery location information of the pre-allocated order and the pickup location information of the above new order.

In some embodiments, the step of allocating the new order to any one of the plurality of terminals may include the following steps: if it is determined that the first terminal is the first temporary allocation terminal, immediately allocate the new order to The first terminal mentioned above.

In some embodiments, the step of allocating the new order to any one of the plurality of terminals may include: if it is determined that the second terminal is the first temporarily allocated terminal, then within the subsequent allocation execution time period, Steps to determine whether the above-mentioned pre-allocation order is completed (the above-mentioned allocation execution time period is the time period for judging whether the above-mentioned new order can be allocated every second critical time, and the above-mentioned second critical time is a time period shorter than the above-mentioned first critical time) ; If it is determined that the above-mentioned pre-allocation order has been completed, the above-mentioned new order will be immediately allocated to the above-mentioned second terminal. If it is determined that the above-mentioned pre-allocation order has not been completed, then the second temporary allocation matching the above-mentioned new order among the plurality of terminals will be determined. The steps of the terminal; and the step of allocating the above-mentioned new order to any one of the above-mentioned plurality of terminals based on the status information of the above-mentioned second temporary allocation terminal. Here, the step of determining the above-mentioned second temporary allocation terminal may include: the step of updating the above-mentioned order allocation pool to correspond to the above-mentioned subsequent allocation execution time period; and the step of determining the above-mentioned second temporary allocation terminal in the above-mentioned updated order allocation pool. . Moreover, here, the step of determining the above-mentioned second temporary allocation terminal may include the following steps: if the above-mentioned second terminal is determined to be the above-mentioned second temporary allocation terminal, and it is determined that the above-mentioned pre-allocation order is not within a time longer than the above-mentioned first critical time If the period is completed within the third critical time, then the other terminals among the above plurality of terminals except the above-mentioned second terminal will be determined as the third temporary allocation terminal; based on the status information of the above-mentioned second temporary allocation terminal, the above-mentioned new order will be allocated The step to any one of the plurality of terminals may include the following steps: allocating the new order to any one of the plurality of terminals based on the status information of the third temporary allocation terminal. At this time, the third critical time may be a time period that is variably determined based on the status information of the second terminal. Moreover, here, the step of allocating the above-mentioned new order based on the status information of the above-mentioned second temporary allocation terminal may include the following steps: before completing the above-mentioned new order allocation, repeating it in each subsequent above-mentioned allocation execution time period and judging the predetermined Check whether the order for temporary allocation of terminals has been completed and determine the steps for new temporary allocation of terminals.

In some embodiments, the step of allocating the new order may include the following steps: if the terminal to which the new order is allocated rejects the allocation of the new order, then in the order allocation pool other than the terminal to which the new order is allocated, Determine the fourth temporary allocation terminal matching the above-mentioned new order, and allocate the above-mentioned new order based on the status information of the above-mentioned fourth temporary allocation terminal.

In some embodiments, the first critical time may be a time period variably determined based on the attributes of the new order.

An electronic device according to some embodiments of the present invention includes a processor, a network interface, a memory, and a computer program loaded in the memory and executed by the processor. The above-mentioned computer program may include: instructions for identifying new orders that include pickup location information; determining based on the above pickup location information to include the first terminal that is in an idle state, and that is in a delivery state and is in the first critical state. Complete the instruction of the order allocation pool of the second terminal in the status of the pre-allocated order within the time; based on the status information of the plurality of terminals included in the above-mentioned order allocation pool, determine the first of the above-mentioned plurality of terminals that matches the above-mentioned new order. An instruction to temporarily allocate terminals; and an instruction to allocate the above-mentioned new order to any one of the above-mentioned plurality of terminals based on the status information of the above-mentioned first temporary allocation terminal.

In some embodiments, the above-mentioned status information may include order allocation status, location, delivery method, remaining completion time of pre-allocated orders, predicted pickup time of the above-mentioned new orders, order allocation rejection rate, number of completed orders, order allocation Information on at least one of the waiting time and the online connection time of the order allocation application. [Effects of the invention]

According to some embodiments of the present invention, new orders can be allocated efficiently.

According to some embodiments of the present invention, by effectively allocating new orders, fast delivery can be provided to demanders, fast delivery allocation can be provided to suppliers, and appropriate delivery allocation opportunities can be provided to delivery performers.

According to some embodiments of the present invention, by effectively allocating new orders, the convenience of each entity participating in the delivery service can be increased, and the platform connection time of each entity can be improved due to the increased convenience.

According to some embodiments of the present invention, by effectively allocating new orders, the inflow of new users can be guided.

The effects of the technical idea of the present invention are not limited to the above-mentioned effects, and those of ordinary skill can clearly understand other effects not mentioned based on the description.

The embodiments of the present invention are exemplified for the purpose of explaining the technical idea of the present invention. Therefore, the scope of rights of the present invention is not limited to the embodiments proposed below or the specific description of these embodiments.

If there are no other definitions, all technical terms and scientific terms used in the present invention have the meanings generally understood by those with common sense in the technical field to which the present invention belongs. All terms used in the present invention are selected for the purpose of describing the present invention more clearly and are not selected for the purpose of limiting the scope of rights of the present invention.

Regarding expressions such as "comprising", "having", "having", etc. used in the present invention, unless otherwise mentioned in the sentence or article including the corresponding expression, it should be understood that it includes the possibility of other embodiments. Open-ended terms.

Unless otherwise mentioned, singular expressions described in the present invention may include plural meanings, and the same applies to singular expressions described in the patent scope of the invention. In addition, expressions such as "first" and "second" used in the present invention are used to distinguish multiple components from each other and are not used to limit the order or importance of these components.

The term "part" used in the present invention refers to software or hardware components such as FPGA (field-programmable gate array) and ASIC (application specific integrated circuit). However, the "part" is not limited to hardware and software. The "part" can be configured in an addressable storage medium or can be configured to play one or more processors. Therefore, as an example of what "part" can mean, "part" includes components such as software components, object-oriented software components, class components, and task components, processors, functions, attributes, routines, and subroutines. , snippets of programming code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables. In addition, the functions provided in the constituent elements and "parts" may be combined with a smaller number of constituent elements and "parts", or further separated into additional constituent elements and "parts".

The so-called "based on" expression used in the present invention is used to describe one or more factors that affect the behavior or action of decision or judgment described in the sentence or article containing the expression. This expression does not exclude the influence of the decision or judgment behavior. or other factors that influence the action.

In the present invention, when it is stated that a certain constituent element is "connected" or "linked" to other constituent elements, it should be understood that a certain constituent element can be directly connected or connected to other constituent elements, or can be connected to other constituent elements in a new way. The constituent elements are connected or connected to the other constituent elements mentioned above as media.

The term "artificial intelligence (AI)" used in the present invention refers to technology that imitates human learning, reasoning, and perception abilities and realizes these abilities through computers, which may include the concepts of machine learning and symbolic logic. . Here, "machine learning (ML)" can be an algorithm technology that autonomously classifies or learns the characteristics of input data. Specifically, artificial intelligence, as a machine learning algorithm, can analyze input data, learn the results of this analysis, and make judgments or predictions based on the results of this learning. In addition, technology that uses machine learning algorithms to simulate the cognitive and judgment functions of the human brain can also be understood as the category of artificial intelligence. For example, it may include the technical fields of language understanding, visual understanding, speculation/prediction, knowledge expression, and action control.

The term "machine learning" as used herein may refer to the process of training a neural network model using experience in processing data. It means that computer software can autonomously improve its data processing capabilities through this kind of machine learning. Here, the "neural network model" is constructed by modeling the correlation between data, and the correlation can be represented by a plurality of parameters. This kind of neural network model infers features based on the provided data and performs analysis to derive correlations between the data. Repeating this process to gradually optimize the parameters of the neural network model is called machine learning. For example, a neural network model can learn a mapping (correlation) between inputs and outputs based on data provided by input-output pairs. Alternatively, when only input data is provided, the neural network model can also derive the regularity between the provided data to learn the relationship.

The terms "artificial intelligence learning model", "machine learning model" or "neural network model" used in the present invention can be designed in a way to realize the structure of the human brain in a computer, and can include neurons that simulate human neural networks and A plurality of network nodes with weighted values. Here, "a plurality of network nodes" simulates the synaptic activity of neurons that send and receive signals through synapses, so that they can have a connection relationship with each other. Specifically, in the artificial intelligence learning model, multiple network nodes can be located at different depth levels and send and receive data according to convolution connection relationships. The artificial intelligence learning model can be, for example, an artificial neural network model (artificial neural network), a convolutional neural network model (convolution neural network), etc. However, it should be noted that the scope of the present invention is not limited to the above examples, and announcements can be applied in the present invention. Various neural network models.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. In the accompanying drawings, the same or corresponding components are given the same reference symbols. In addition, in the description of the following embodiments, repeated description of the same or corresponding constituent elements may be omitted. However, even if the description of relevant constituent elements is omitted, it does not mean that such constituent elements are not included in a certain embodiment.

FIG. 1 is a diagram illustrating an exemplary environment of an electronic device to which some embodiments of the present invention may be applied. An example of an exemplary environment explained through Figure 1 is as follows: the demander requests an order, the supplier receives the demander's order and prepares the goods corresponding to the order, and the delivery executor obtains the prepared goods and delivers them to the demander. By. As shown in Figure 1, each subject participating in the delivery service can communicate various information with each other through their terminals 200a, 200b, 300, and 400. Here, the electronic device 100 can communicate with each other through the terminals 200a, 200b of each subject. , 300, 400 to process various information communicated with each other. Various operations performed by the electronic device 100 and the terminals 200a, 200b, 300, and 400 of each body will be described in more detail through the subsequent description.

On the other hand, FIG. 1 shows an example of two delivery executioner terminals 200a and 200b, a demander terminal 300 and a supplier terminal 400 being connected to the electronic device 100. However, this is only for the convenience of understanding and indicates participation in delivery. Of course, the number of terminals can be different depending on the number of goods and services. In addition, FIG. 1 only shows a preferred embodiment for achieving the object of the present invention, and some components may be added or deleted as necessary.

Hereinafter, each component shown in FIG. 1 will be described in more detail.

First, the electronic device 100 can identify a new order requested from the customer terminal 300 . Here, the electronic device 100 can refer to various technologies for the action of identifying the new order. For example, the electronic device 100 can manage the requested order into a list and manage the processing of the order, and can identify an order newly added to the list as a new order. As another example, the electronic device 100 may also identify a new order based on identification information included in the order. It should be noted that, in addition to the above examples, various actions for identifying new orders requested from the demander terminal 300 may also be included in the scope of the present invention, as long as the new orders are identified in order to manage the subsequent processing of the new orders. All actions may be included in the scope of the present invention. As mentioned above, the new order recognized by the electronic device 100 may include various information. As a specific example, the new order may include various information such as details of the product ordered by the demander, the supplier of the product, the pickup location of the product (for example, the supplier's store), and the delivery location of the product.

In addition, the electronic device 100 can transmit the new order to the supplier terminal 400 corresponding to the new order based on various information included in the new order. Here, the supplier terminal 400 can receive a new order, and the supplier can confirm the new order and prepare products corresponding to the new order.

Furthermore, the electronic device 100 can allocate the new order to any one of the plurality of delivery executioner terminals 200a and 200b based on various information included in the new order. Here, in addition to the various information included in the new order, the electronic device 100 can also further consider the status information of the plurality of delivery executor terminals 200a and 200b to allocate the new order to the plurality of delivery executor terminals 200a and 200b. Any of them. Specifically, a new order can be allocated to any one of the plurality of delivery executioner terminals 200a and 200b, taking into account the respective status information of the first terminal 200a in the idle state and the second terminal 200b in the delivery state. However, in order to eliminate repeated explanations, the specific actions of the electronic device 100 in allocating new orders will be described in more detail below with reference to the figures after FIG. 3 . As mentioned above, if a new order is allocated to any one of the plurality of delivery executor terminals 200a and 200b, the delivery executor can obtain the goods corresponding to the new order at the pickup location and deliver them. to the delivery location.

It should be understood that in addition to the above-mentioned operations, the electronic device 100 described so far with reference to FIG. 1 can also perform various processes for processing orders in conjunction with the delivery executioner terminals 200a and 200b, the demander terminal 300, and the supplier terminal 400. Actions, and can perform all actions that can be added or changed from the receipt to completion of the order. However, it should be noted that among the various actions performed by the electronic device 100 , the action of allocating a new order to the delivery executioner terminals 200 a and 200 b will be highlighted below based on the description of the specification, with the purpose of not confusing the scope of the present invention. The purpose is not to exclude other actions performed by the electronic device 100 from the scope of the present invention.

The electronic device 100 described so far can be implemented by more than one computing device. For example, all functions of electronic device 100 can be implemented in a single computing device. As another example, the first function of the electronic device 100 may be implemented in the first computing device, and the second function may be implemented in the second computing device. Here, the above-mentioned computing device may include a notebook computer, a desktop computer (desktop), a laptop (laptop), etc., but is not limited thereto and may include all types of devices with computing functions. However, if it is an environment where the electronic device 100 needs to be connected to various terminals 200a, 200b, 300, 400 to process orders, the electronic device 100 may preferably be implemented as a high-performance server-level computing device. Such computing An example of the device is shown in Figure 2.

Secondly, the delivery performer terminal 200a, 200b, the demander terminal 300 and the supplier terminal 400 serve as the terminals 200a, 200b, 300 and 400 of each entity participating in the delivery service respectively, and can execute the functions provided by the electronic device 100 described previously. . As a specific example, the demander terminal 300 can request an order from the electronic device 100, the supplier terminal 400 can receive the demander's order from the electronic device 100, and the delivery performer terminals 200a and 200b can be assigned the order. Here, in order to utilize the functions provided by the electronic device 100, the terminals 200a, 200b, 300, and 400 of each subject may be equipped with a web browser or a dedicated application program.

In some embodiments, the dedicated applications provided to the terminals 200a, 200b, 300, and 400 of each subject may implement at least part of the user interface differently according to the attributes of each subject. Specifically, the first application used by the delivery performer terminals 200a and 200b, the second application used by the demander terminal 300, and the third application used by the supplier terminal 400 may be different depending on the attributes of their subjects. Implement at least part of the user interface.

The terminals 200a, 200b, 300, and 400 of each subject described so far can be, for example, a desktop computer, a workstation, a laptop, a tablet, and a smart phone. ), but is not limited thereto, and may include all types of devices with computing functions. For an example of such a computing device, refer to the relevant description of FIG. 2 .

In some embodiments, the electronic device 100 and the terminals 200a, 200b, 300, and 400 of each subject can communicate with each other through the network. The above network can be implemented as, for example, a local area network (LAN), a wide area network (WAN), a mobile radio communication network, and Wibro (Wireless Broadband Internet). Type of wired/wireless network.

So far, an exemplary environment in which the electronic device 100 according to some embodiments of the present invention may be applied has been described with reference to FIG. 1 . Referring now to FIG. 2 , an exemplary computing device is described as a variety of devices that may implement some embodiments of the present invention.

Figure 2 is a diagram illustrating an exemplary computing device 500 of various means that may implement some embodiments of the invention. As described above, the computing device 500 shown in FIG. 2 can be understood as an exemplary computing device 500 capable of implementing the various devices 100, 200a, 200b, 300, and 400 shown in FIG. 1.

As shown in FIG. 2 , computing device 500 may include a processor 510 , a memory 520 , and a communication circuit 530 . However, FIG. 2 only illustrates the structural elements related to the embodiment of the present invention. Therefore, those with common sense in the technical field to which the present invention belongs can understand that in addition to the structural elements shown in FIG. 2, other common structural elements may be included. Components. In addition, it should be noted that each component of the computing device 500 shown in FIG. 2 represents functionally distinct functional elements. In an actual physical environment, multiple components can also be implemented in a form of integration with each other. Furthermore, it should be noted that each component of the computing device 500 shown in FIG. 2 is represented by a single entity, but each component can of course be implemented as a plurality of individuals (for example, a collection of single individuals).

At least part of the components in the computing device 500 are connected by a bus, GPIO (General Purpose Input/Output, General Purpose Input/Output), SPI (Serial Peripheral Interface, Serial Peripheral Interface) or MIPI (Mobile Industry Processor Interface (Mobile Industrial Processor Interface), etc. are connected to each other so that data and/or signals can be sent and received. Each component of the computing device 500 will be described in detail below.

First, the processor 510 may perform operations or data processing related to the control and/or communication of other components of the computing device 500 (eg, memory 520). Such a processor 510 may, for example, be operatively connected to other components of the computing device 500 . In addition, the processor 510 may load commands or data received from other components of the computing device 500 into the memory 520, or process commands or data stored in the memory 520. Furthermore, the processor 510 may store result data corresponding to the command or data in other components of the computing device 500 .

As an example of commands or data processed by the processor 510, the processor 510 can drive software (eg, commands, programs, etc.) to control at least one of other components of the computing device 500 connected to the processor 510. At this time, the processor 510 can perform various operations, processing, data generation and processing related to the present invention.

Secondly, the memory 520 can store various data, commands and/or information. Such memory 520 may be implemented as well-known volatile and/or non-volatile memory.

Data stored in memory 520 may include software (eg, commands, programs, etc.) as data obtained, processed, or used by at least one component of computing device 500 . Here, commands and programs, as software stored in the memory 520, may include operating systems, application programs used to control the resources of the computing device 500, and/or various applications in order to enable the application programs to use the resources of the computing device 500. Intermediate software that provides functions to applications, etc. As a specific example, the commands and programs may include one or more instructions that when loaded into the memory 520, cause the processor 510 to perform the actions of various embodiments of the present invention. That is, the processor 510 can perform operations in various embodiments of the present invention by executing one or more of the above instructions.

Secondly, the communication circuit (network interface) 530 of the computing device 500 can establish a wired or wireless communication channel with an external device to send and receive various data with the external device. In some embodiments, the communication circuit 530 may include at least one port for connecting to the external device through a wired cable for wired communication with the external device. In this case, the communication circuit 530 can communicate with a wired-connected external device through at least one port. In other embodiments, the communication circuit 530 can be configured in the following manner: including a cellular communication module connected to a cellular network (for example, 3G (3rd Generation, third generation mobile communications), LTE (Long Term Evolution, Long Term Evolution) ), 5G (5th Generation, fifth generation mobile communications), Wibro or Wimax (Worldwide Interoperability for Microwave Access, global interoperability for microwave access)). In some embodiments, the communication circuit 530 may include a short-range communication module to utilize short-range communication (for example, Wi-Fi (Wireless Fidelity, Wireless Fidelity), Bluetooth (Bluetooth), Bluetooth Low Energy (BLE, Bluetooth Low Energy)). energy), UWB (Ultra Wide Band, ultra-wideband)) to send and receive data with external devices. In still other embodiments, the communication circuit 530 may include a contactless communication module for contactless communication. Here, the contactless communication may include, for example, at least one of NFC (Near Field Communication) communication, RFID (Radio Frequency Identification) communication or MST (Multi Stream Transport, multi-stream transmission) communication. Contactless short-distance communication technology. It should be noted that, in addition to the various examples described previously, the computing device 500 can be implemented in various well-known ways of communicating with external devices, and the scope of the present invention is not limited to the examples described previously.

In addition to the components of the computing device 500 described so far, the computing device 500 may of course include other components. For example, the computing device 500 may include a display (not shown) that may display various images or receive user input (eg, touch input, etc.) from the user based on control of the processor 510 . As other examples, computing device 500 may include an input device (not shown) that may receive commands or data utilized in the operations of processor 510 . In addition, it should be noted that the computing device 500 may further include various structural elements.

Thus far, an illustrative computing device 500 of various means that may implement some embodiments of the invention has been described with reference to FIG. 2 . Below, various methods of some embodiments of the present invention are described in detail. It should be noted that in the following illustrations, the actions are shown in a specific order, but the actions do not have to be performed in the specific order shown or in sequence, or not all the actions shown can be performed to obtain the desired results.

In addition, each step of the method described with reference to the following figures can be performed by the computing device 500 shown in FIG. 2 . In other words, each step of the method may be implemented by more than one instruction executed by the processor 510 of the computing device 500 . All steps included in this method can be performed by one physical computing device 500, but the first step of the method can be performed by the first computing device, and the second step of the method can also be performed by the second computing device. In the following, the description will continue assuming that the electronic device 100 shown in FIG. 1 performs each step of the above method. However, for convenience of explanation, the description of the action subjects of each step included in the above method may also be omitted.

FIG. 3 is an exemplary sequence diagram showing an order processing method according to some embodiments of the present invention.

Referring to Figure 3, in step S100, a new order may be identified. As described with reference to FIG. 1 , new orders can be identified in various ways, and the identified new orders can include various information (for example, pickup location information, delivery location information).

Secondly, in step S200, the order allocation pool can be determined. Here, the order allocation pool may refer to a collection of multiple delivery executioner terminals used to allocate new orders. Specifically, new orders may be allocated to multiple delivery executions included in the order allocation pool based on subsequent actions. or any one of the terminals. Hereinafter, according to the description of the manual, unless there are special circumstances, the term "terminal" can be understood as the abbreviation of "delivery executor terminal".

Regarding the above order allocation pool, in some embodiments, the order allocation pool may include the first terminal in an idle state. In this case, the new order can be allocated to the first terminal that is idle, so the user of the first terminal can obtain the new order at the pickup location and deliver it to the delivery location. In other embodiments, the order allocation pool may include a second terminal that is in a delivery state and in a state of completing pre-allocated orders within a first critical time. In this case, even if it is in the delivery state, the new order can be allocated to the second terminal that is in the state of completing the pre-allocated order within the first critical time. The user of the second terminal can complete the pre-allocated order and pick up the order. Get new orders from the shipping location and deliver them to the delivery location. According to the embodiments of the order allocation pool described so far, when determining the order allocation pool used to allocate new orders, both terminals in the idle state and terminals that are in the delivery state but are about to complete the order can be considered at the same time. Therefore, Rather than determining the order allocation pool by simply considering terminals in an idle state, the order allocation pool can be determined by a method that is most suitable for new orders. In particular, the order allocation pool can be determined by the method most suitable for new orders in a manner that can quickly allocate new orders when there are insufficient idle terminals (for example, peak hours).

The above-mentioned first critical time may be a reference factor for determining the terminals included in the order allocation pool. In particular, the first critical time may be a reference element for determining whether the terminal is a terminal that can be included in the order allocation pool when the terminal is in the delivery state. This will be more specifically described below with reference to FIG. 6 Detailed actions related to the determination of the order allocation pool at the first critical time are used to explain.

Regarding step S200, in some embodiments, the order allocation pool may be determined based on the pickup location information of the new order. That is, the pickup location information can be considered as the determining factor of the order allocation pool. Specifically, the steps of determining the new order allocation pool can include the following steps: Based on the pickup location information of the new order, exclude locations beyond the new order allocation pool from the above order allocation pool. The order pick-up location refers to the terminal distance. Here, the reference distance may be a reference factor for determining the terminals included in the order allocation pool. According to actual implementation examples, the reference distance may of course be changed and applied. As an example, the reference distance can be a fixed value. According to the attributes of the new order (for example, the details of the ordered goods), the reference distance of the first product (for example, ice cream) can be set relatively short, or the reference distance of the first product can be set relatively long. 2. Reference distance of products (for example, convenience store products). As mentioned above, according to the change of the reference distance, the order allocation pool for new orders that need to be delivered relatively quickly can be determined within a relatively narrow geographical range based on the pickup location information. Information is used as a basis to determine the order allocation pool for new orders that require relatively slow delivery within a relatively broad geographical range.

Secondly, in step S300, the temporarily allocated terminal matching the new order can be determined based on the status information of each of the plurality of terminals included in the order allocation pool.

Here, status information may refer to information indicating the status of the terminal, which not only includes primary information directly obtained from the terminal (for example, the location of the terminal, order allocation status, etc.), but may also include using the primary information for calculation or statistical processing. The secondary information obtained (for example, the remaining completion time of pre-assigned orders, the predicted pickup time of new orders, etc.). As specific examples, status information may include order allocation status, location, shipping method, remaining completion time for pre-allocated orders, predicted pick-up time for new orders, order allocation rejection rate, order completion piece count, order allocation wait time, and order allocation Application online connection time. However, it should be noted that the scope of the present invention is not limited to the above examples. As long as it is information indicating the status of the terminal, any kind of information can be included in the status information of the present invention. Also, here, the temporarily allocated terminal may refer to a terminal to which a new order is temporarily allocated before a new order is allocated. According to the subsequent actions described in the description below, when the temporary allocation terminal meets specific conditions, a new order can be allocated to the temporary allocation terminal.

Regarding step S300, detailed operations related to the determination operation of temporarily allocating terminals using status information will be described in more detail below with reference to FIG. 11 .

Secondly, in step S400, the new order can be allocated to any one of the plurality of terminals based on the status information of the temporarily allocated terminal. Specifically, the status information of the temporarily allocated terminal can be confirmed in each allocation execution time period. At this time, new orders can be allocated to the temporary allocation terminal based on the status information of the temporary allocation terminal during the allocation execution time period, or the status information of the temporary allocation terminal can be confirmed again in the subsequent allocation execution time period, or the temporary allocation terminal can be released. Assign temporary allocation of terminals and temporarily allocate new orders to other terminals.

Here, the allocation execution time period may be a time period for determining whether new orders can be allocated every second critical time. In this case, the second critical time may be a time period shorter than the first critical time explained in step S200. That is, it is determined whether a new order can be allocated to the temporary allocation terminal every second critical time that is shorter than the first critical time, thereby quickly reflecting changes in the status information of the temporary allocation terminal and allocating new orders. The first critical time It can be understood as the maximum remaining completion time that can be included in the order allocation pool. This second critical time can be a reference factor for determining the interval between repeated allocation execution time periods. Specifically, when the second critical time is set in a relatively short time, it can be determined in detail whether a new order can be allocated to the temporary allocation terminal, so that changes in the status information of the temporary allocation terminal can be immediately reflected, and the status information of the temporary allocation terminal can be reflected immediately. When setting the second critical time, the computing resources required for judgment can be saved. It should be noted that the impact of the length of the above-mentioned second critical time can be considered and applied to actual implementation examples. The second critical time can be a fixed value (for example, 30 seconds) or a value that can be variably changed.

Regarding step S400, detailed actions related to the allocation action of new orders using status information will be described in more detail below with reference to FIG. 12 . Hereinafter, an example diagram related to the action of determining the order allocation pool will be described with reference to FIGS. 4 and 5 .

FIGS. 4 and 5 are illustrative diagrams for explaining in more detail the action of determining the order allocation pool described with reference to FIG. 3 . 4 and 5 are an example of a map 10 that visualizes the periphery of “Area A”. The map 10 may be a map 10 that the operator of the electronic device 100 shown in FIG. 1 refers to visually through the display, or It may be the map 10 that the users of the delivery executive terminals 200a and 200b shown in FIG. 1 visually refer to through the display. However, it should be noted that when the map 10 is displayed on the delivery operator terminals 200a and 200b, unlike FIGS. 4 and 5 , some information (for example, indicators of other delivery operator terminals, etc.) may be omitted or Add some other information (for example, shipping method selection button, etc.) for display.

The exemplary map 10 shown in FIGS. 4 and 5 includes a pickup location indicator 20 for a new order, terminal indicators 30a, 30b in the idle state, and terminal indicators 40a, 40b, 40c in the delivery state. As previously described with reference to step S200 of FIG. 3 , the reference distance may be determined based on the pickup location, and the exemplary map 10 shown in FIG. 5 further includes an area 50 based on the reference distance. Here, the terminals corresponding to the indicators 30b, 40b, 40c located within the area 50 shown in Figure 5 may be included in the order allocation pool, but the terminals corresponding to the indicators 30a, 40a located outside the area 50 may be excluded. outside the order allocation pool. Moreover, here, even if it is a terminal corresponding to the indicators 30b, 40b, and 40c located in the area 50 shown in FIG. 5, the terminal is in the delivery state and cannot complete the pre-allocation order within the first critical time. In this case, the terminal can be excluded from the order allocation pool. Detailed operations related to the determination of the order allocation pool will be described below with reference to FIGS. 6 and 7 . The detailed actions related to the determination action of the order allocation pool in FIGS. 6 and 7 described below can be understood as the action of determining whether the terminal in the delivery state is included in the order allocation pool.

Referring to FIG. 6 , in step S210 , the remaining completion time of the order pre-allocated to the terminal may be calculated. Here, the remaining completion time may refer to the predicted time required to complete the pre-allocated order. In the following embodiments, the terminal location can be obtained from a sensor built into the terminal (for example, a GPS (Global Positioning System) sensor). The delivery location information and the pickup location information may include Obtained from the order requested from the requester's terminal.

Regarding step S210, in some embodiments, the step of calculating the remaining completion time may include the step of calculating the remaining completion time based on the location of the terminal and the delivery location information of the pre-allocated order. Specifically, the remaining completion time can be calculated using the distance between the terminal location and the delivery location of the pre-allocated order. In other embodiments, as shown in FIG. 7 , the step of calculating the remaining completion time may include: step S211 of calculating the remaining completion time based on the location of the terminal and the delivery location information of the pre-allocated order; and S211 based on the pre-allocated order. The delivery location information and the pickup location information of the new order are used to calculate the remaining completion time in step S212. Specifically, the distance between the location of the terminal and the delivery location of the pre-allocated order and the distance between the delivery location and the pickup location of the pre-allocated order can be used to calculate the remaining completion time. In the former case, by determining the delivery completion time point of the pre-allocation order as the completion time of the pre-allocation order, more terminals than the latter can be included in the order allocation pool. In the latter case, by determining the time point when the delivery of the pre-allocated order is completed and arrives at the pick-up location as the completion time of the pre-allocated order, terminals that are more suitable for new orders than the former can be included in the order allocation pool. middle. You can choose the former or the latter to apply based on actual implementation examples. In addition to the above embodiment, as long as the distance-based time is calculated using the location of the terminal, the delivery location of the pre-allocated order, and the pickup location of the new order, Then other calculation operations of the remaining completion time can certainly be included within the scope of the present invention.

Regarding step S210, in some embodiments, the step of calculating the remaining completion time may include the step of calculating the remaining completion time based on the delivery method corresponding to the terminal. Here, the delivery method can be input and received by the user of the terminal. For example, the delivery method can include walking, bicycle, motorcycle, car, etc. That is, the remaining completion time based on the delivery method can be calculated using the average speed of the delivery method or the statistical information of each delivery method accumulated based on the operation of the delivery service.

Step S210 described so far may refer to various techniques related to the action of calculating distance-based prediction time. For example, technology for calculating predicted time may be referred to in various technical fields including navigation services and taxi allocation services. In some embodiments, in order to calculate the remaining completion time, time period information, region information, and distance information may be input and an artificial intelligence model that calculates the remaining completion time may be utilized. In this case, the artificial intelligence model can learn by deriving the correlation between the learning data (for example, time period information, region information, distance information, etc.) and the result data of the learning data (for example, the remaining completion time) , for example, the learning of the artificial intelligence model can refer to the regression model of supervised learning.

Secondly, in step S220, terminals whose remaining completion time is less than a critical time (eg, the first critical time) can be included in the order allocation pool. According to this step, the order allocation pool can be determined in the following way: by excluding terminals whose remaining completion time exceeds the first critical time from the order allocation pool, only including terminals that can quickly obtain new orders and deliver them to the delivery location. in the order allocation pool.

Regarding the first critical time, in some embodiments, the first critical time may be a time period that is variably determined based on attributes of the new order. Specifically, according to the attributes of the new order (for example, the details of the ordered products), the first critical time for the first product (for example, ice cream) can be set relatively short, and the first critical time for the second product (for example, ice cream) can be set relatively long. , convenience store products) the first critical time. As mentioned above, as the variability of the first critical time changes, the order allocation pool for new orders that need to be completed relatively quickly can be determined based on the relatively short first critical time, and the order allocation pool for new orders that need to be completed relatively quickly can be determined based on the relatively long first critical time. Critical time determines the order allocation pool for new orders that need to be shipped relatively slowly.

Up to this point, the detailed operations related to the determination of the order allocation pool have been described with reference to FIGS. 6 and 7 . Hereinafter, with reference to FIGS. 8 to 10 , an example diagram related to the determination operation of temporarily allocating a terminal will be described.

8 to 10 are illustrative diagrams for explaining in more detail the determination operation of the temporarily allocated terminal described with reference to FIG. 3 . FIGS. 8 to 10 are an example of the map 10 from a peripheral perspective of the “A region”. The description related to the map 10 can be understood with reference to the description of FIGS. 4 and 5 . In addition, it should be noted that the paths 60a, 60b, and 60c are described below as paths used to calculate the predicted pickup time, but they can also be understood as paths used to calculate the remaining completion time explained with reference to FIG. 7 .

The exemplary map 10 shown in FIG. 8 shows a path 60a with the terminal indicator 30b in the idle state, and the exemplary map 10 shown in FIGS. 9 and 10 shows the terminal indicator 40b in the delivery state. The paths 60b and 60c of , 40c are paths through the delivery locations of the pre-allocated orders corresponding to the delivery location indicators 70a and 70b. The former is a path that starts from the location of the terminal and ends with the pickup location of the new order. The latter is a path that starts from the location of the terminal, has the delivery location of the pre-allocated order as the midpoint, and ends with the pickup location of the new order. The path to the end. As described above, a path to the terminal to reach the pickup location of the new order can be determined based on the order allocation status of the terminal, and a predicted pickup time can be calculated based on the path. The calculation operation of this predicted pick-up time can refer to the calculation operation of the remaining completion time illustrated in Figure 6. As long as it is an operation of calculating the predicted time based on distance, any operation can be included in the scope of the present invention.

Regarding Figures 8 to 10, in some embodiments, the step of determining the temporary allocation terminal may include: the step of calculating the predicted pickup time of each of the plurality of terminals included in the order allocation pool; and assigning the fastest predicted pickup time to Terminal determination is the step of temporarily allocating terminals. As a specific example, if the delivery methods of the terminals shown in FIGS. 8 to 10 are the same, the terminal corresponding to the terminal indicator 40b of the shortest path 60b can be determined as the temporarily allocated terminal for the new order. That is, according to the examples shown in FIGS. 8 to 10 , even if the terminal is in the delivery state, the terminal that reaches the pickup location fastest can be determined as the temporarily allocated terminal.

So far, with reference to FIGS. 8 to 10 , the operation of determining the temporary allocation terminal using the predicted pick-up time among the information included in the status information of the terminal has been described. Hereinafter, with reference to FIG. 11 , the operation of determining the temporarily allocated terminal using various information included in the status information of the terminal will be described.

FIG. 11 is an exemplary sequence diagram for explaining the detailed operation of determining the temporary allocation terminal shown in FIG. 3 .

Referring to FIG. 11 , in step S310 , items included in the status information of each of the plurality of terminals and weighted values corresponding to the items may be calculated. Here, the item may refer to the value of various information that may be included in the status information described previously, and the weighted value may refer to the weighted value assigned to the value. In some embodiments, the weighting value may be a fixed value, but the scope of the present invention is not limited thereto. In order to determine the best terminal according to actual implementation examples, the weighting value can of course also be variably adjusted.

Items may include: the first item that can be expressed as true or false (for example, order allocation status, etc.); the second item that can be expressed as a limited number of selection values (for example, delivery method, etc.); that can be expressed as a continuous numerical value To represent the third item (for example, order allocation waiting time, etc.); in order to perform calculations with weighted values, each item can be appropriately preprocessed based on the above attributes.

Based on the preprocessing of the above items or the determination of the weighting value, the operator of the electronic device 100 shown in FIG. 1 (eg, platform operator, application operator) can set the determination criteria for temporarily allocating terminals. For example, when the order allocation status is in the idle state, the weighting value can be determined to be higher than when the order distribution status is in the delivery state. The shorter the path determined based on the location, the higher the weighting value. The faster the average speed of the delivery method, the higher the weighting value. . The shorter the remaining completion time of the pre-allocated order, the higher the weighted value will be determined. The faster the predicted pick-up time of the new order, the higher the weighted value will be determined. The lower the order allocation rejection rate, the higher the weighted value will be determined. Number of completed orders The more there are, the higher the weighting value is determined. The longer the waiting time for order allocation is, the higher the weighting value is determined. The longer the online connection time to the order allocation application is, the higher the weighting value is determined. However, it should be noted that the scope of the present invention is not limited to the above example, and the temporarily allocated terminal may of course be determined based on differently determined weighting values. That is, as long as the action is to determine a specific terminal as a temporarily allocated terminal according to the operator's preference based on the calculation of the items included in the status information and the weighted value corresponding to the item, all actions can be included in the scope of the present invention. .

Next, in step S320, any one of the plurality of terminals can be determined as a temporarily allocated terminal based on the size relationship between the item and the calculated value of the weighted value corresponding to the item. That is, the status information in a plurality of terminals can be converted into a numerical value that can be compared based on a size relationship, and any one of the plurality of terminals can be determined as a temporarily allocated terminal based on this.

So far, the determination operation of the temporary allocation terminal has been described with reference to FIG. 11 . Next, the allocation operation of new orders will be described with reference to FIG. 12 .

FIG. 12 is an exemplary sequence diagram for explaining detailed operations of the new order allocation operation shown in FIG. 3 .

Referring to Figure 12, if the temporary allocation terminal is in the idle state S410, then in step S420, a new order can be allocated to the temporary allocation terminal. According to this step, new orders can be allocated to the temporary allocation terminal immediately without waiting for the subsequent allocation execution time period. If the temporary allocation terminal is in the delivery state S410, in step S430, it can be determined whether the pre-allocation order is completed in the subsequent allocation execution time period. Here, the judgment of whether the order is completed can be judged based on whether the terminal has arrived at the delivery location of the pre-allocated order, or based on whether the terminal has received an order completion button provided in the user interface of the application from the user, but the present invention The scope is not limited to the above example, and whether the order is completed can be judged in various ways.

Secondly, if it is determined that the temporary allocation terminal completes the pre-allocation order S440 in the subsequent allocation execution time period, then in step S420, a new order can be allocated to the temporary allocation terminal. If it is determined that the temporary allocation terminal has not completed the pre-allocation order S440, in step S450, the temporary allocation terminal matching the new order among the plurality of terminals included in the order allocation pool can be determined again. Specifically, if it is determined that the first temporary allocation terminal has not completed the pre-allocation order, the second temporary allocation terminal among the plurality of terminals included in the order allocation pool can be determined. Here, the second temporarily allocated terminal may be the same terminal as the first temporarily allocated terminal, or may be a different terminal. The action of determining the temporarily allocated terminal again is only different in time point from the initial determination of the temporarily allocated terminal, and its specific actions It is the same, so it can be understood with reference to step S300 of FIG. 3 , FIG. 8 to FIG. 10 and FIG. 11 .

Regarding step S450, in some embodiments, the step of re-determining the temporary allocation terminal may include: the step of updating the order allocation pool in a manner corresponding to the subsequent allocation execution time period; and re-determining the temporary allocation terminal in the updated order allocation pool. steps. According to this embodiment, the order allocation pool is updated corresponding to the change in the time point of the allocation execution time period, and the temporary allocation terminal is determined again in the updated order allocation pool, whereby the terminal that changes with the change in time point can be based on The status information determines the terminal of the new order to be optimized as the temporarily allocated terminal.

Secondly, when the redetermined temporarily allocated terminal (for example, the second temporarily allocated terminal) is the same terminal as before and exceeds the limit time (for example, the third critical time) (S460), in step S470, Release the temporary allocation of the temporarily allocated terminal. Here, the limit time can be understood as the maximum time that the terminal can maintain the qualification of the temporary allocation terminal. The limit time can be a time longer than the first critical time. The first critical time can be a reference element of the order allocation pool. Moreover, here, if the temporary allocation is released (S470), among the plurality of terminals included in the order allocation pool, other terminals other than the terminal for which the temporary allocation is released can be determined as the temporarily allocated terminal (for example, the third temporarily allocated terminal ). On the other hand, when the temporarily allocated terminal (for example, the second temporarily allocated terminal) determined again is a different terminal from the previous one or the same terminal does not exceed the limit time (for example, the third critical time) (S460) , in step S430, it can be determined whether the pre-allocation order is completed in the subsequent allocation execution time period. That is, the action shown in Figure 12 can be understood as the following action: before completing the allocation of the new order, it is repeated in each subsequent allocation execution time period to determine whether the order for the predetermined temporary allocation terminal is completed, and again determines the new order. Temporarily allocate terminals.

Regarding the above limit time, in some embodiments, the limit time may be a time period variably determined based on status information of the temporarily allocated terminal. For example, the limit time can be variably determined according to the delivery method of the temporarily allocated terminal. When the delivery method is a car, the limit time can be set relatively short, and when the delivery method is walking, the limit time can be set relatively long. Extreme time. As another example, when the order allocation rejection rate of the temporary allocation terminal is relatively high, the limit time can be set relatively short, and when the rejection rate is relatively low, the limit time can be set relatively long. Different from the above example, of course, the limit time can be variably determined based on the status information of the terminal. Even if the limit time is variably determined based on other status information not mentioned, it can also be included in the scope of the present invention. According to this embodiment, the limit time can be appropriately set by a numerical value that can represent the reliability of the user corresponding to the temporarily allocated terminal, or the limit time can be appropriately set to a limit time suitable for the situation of the user.

According to the actions described with reference to FIG. 12, the new order may be finally allocated to the specific terminal by repeatedly allocating execution time periods (S420). In some embodiments, if the terminal allocated with the new order refuses the allocation of the new order, a temporary allocation terminal matching the new order (for example, the 4th temporary allocation pool) may be determined in an order allocation pool other than the terminal allocated with the new order. Assignment terminal), the action shown in Figure 12 can be re-performed based on the status information of the temporarily assigned terminal. According to this embodiment, when the allocation is rejected even if a new order has been allocated, the following action can be taken: determine the temporary allocation terminal in the order allocation pool other than the terminal to which the new order is allocated, and allocate the new order again.

So far, various methods of some embodiments of the present invention have been described with reference to FIGS. 3 to 12 . According to the above method, in order to select the most suitable terminal for a new order, terminals in an idle state and terminals in a delivery state or in a state about to complete delivery can be considered. In particular, as mentioned above, the method of considering terminals in the delivery state can quickly allocate new orders when there are insufficient terminals in the idle state (for example, peak hours), even if it is not the case that there is insufficient terminals in the idle state. New orders can also be assigned to terminals that are more suitable for new orders. By effectively allocating new orders as described above, fast delivery can be provided to demanders, fast delivery allocation can be provided to suppliers, and appropriate delivery allocation opportunities can be provided to delivery performers.

So far, various embodiments of the present invention and the effects of these embodiments have been mentioned with reference to FIGS. 1 to 12 . The effects of the technical idea of the present invention are not limited to the above-mentioned effects, and those of ordinary skill can clearly understand other effects not mentioned above based on the description of the specification.

In addition, the technical idea of the present invention described so far with reference to FIGS. 1 to 12 can be realized by a computer-readable code on a recording medium that can be read by a computing device (for example, an electronic device). Here, the computer program implemented by coding may include at least one instruction that causes the processor of the computing device to perform the actions of various embodiments of the present invention when loaded into the memory of the computing device. Such computer-readable recording media can be, for example, removable recording media (eg, CD (Compact Disc), DVD (Digital Versatile Disc), Blu-ray Disc, USB (Universal Serial Bus)) storage device, removable hard disk, etc.), or fixed recording media (for example, ROM (Read Only Memory, read-only memory), RAM (Random Access Memory, random access memory), computer-equipped hard disk, etc.). In addition, the recording medium may be a non-transitory recording medium. Here, non-transitory recording media refers to tangible media that actually exist regardless of semi-permanent or temporary storage of data, and may not include transitory signals. Furthermore, the computer program recorded in the recording medium can be transmitted to other computing devices through a network such as the Internet and installed in other computing devices, so that it can be used in other computing devices.

The technical idea of the present invention has been described above through some embodiments and examples shown in the accompanying drawings. However, it should be understood that the present invention can be understood by those with common sense in the technical field to which the present invention belongs. Various substitutions, changes and modifications can be realized within the scope of the technology. In addition, it should be understood that such substitutions, changes and modifications fall within the patent scope of the accompanying invention application.

10:Map 20:Indicator 30a:Indicator 30b:Indicator 40a:Indicator 40b:Indicator 40c: indicator 50:Area 60a:Path 60b:Path 60c:path 70a:Indicator 70b:Indicator 100: Electronic devices 200a: 1st terminal 200b: 2nd terminal 300: Demander terminal 400: Supplier Terminal 500:Computing device 510: Processor 520:Memory 530: Communication circuit

FIG. 1 is a diagram illustrating an exemplary environment of an electronic device to which some embodiments of the present invention may be applied. Figure 2 is a diagram illustrating an exemplary computing device representing various means that may implement some embodiments of the invention. Figure 3 is an exemplary sequence diagram of an order processing method according to some embodiments of the present invention. FIGS. 4 and 5 are illustrative diagrams for explaining in more detail the action of determining the order allocation pool described with reference to FIG. 3 . FIG. 6 is an exemplary sequence diagram illustrating detailed actions of determining the order allocation pool shown in FIG. 3 . FIG. 7 is an exemplary sequence diagram for explaining detailed operations of the calculation operation of the remaining completion time shown in FIG. 6 . 8 to 10 are illustrative diagrams for explaining in more detail the determination operation of the temporarily allocated terminal described with reference to FIG. 3 . FIG. 11 is an exemplary sequence diagram for explaining the detailed operation of determining the temporary allocation terminal shown in FIG. 3 . FIG. 12 is an exemplary sequence diagram for explaining detailed operations of the new order allocation operation shown in FIG. 3 .

100: Electronic devices

200a: 1st terminal

200b: 2nd terminal

300: Demander terminal

400: Supplier Terminal

Claims (20)

An order processing method is performed through an electronic device, which includes: Steps to identify new orders that include pickup location information; Based on the above pickup location information, determine the order allocation pool including the first terminal in the idle state and the second terminal in the delivery state and in the state of completing the pre-allocated order within the first critical time; Based on the status information of each of the plurality of terminals included in the above-mentioned order allocation pool, the step of determining the first temporarily allocated terminal among the above-mentioned plurality of terminals that matches the above-mentioned new order; and The step of allocating the above-mentioned new order to any one of the above-mentioned plurality of terminals based on the status information of the above-mentioned first temporary allocation terminal. For example, in requesting the order processing method of item 1, the steps to determine the above-mentioned order allocation pool include the following steps: Based on the above pickup location information, terminals located beyond the above reference distance of the new order pickup location are excluded from the above order allocation pool. For example, requesting the order processing method of item 1, the steps to determine the above order allocation pool include: Steps to calculate the remaining completion time for the above-mentioned order pre-allocated to the above-mentioned 2nd terminal; and If the remaining completion time is less than the first critical time, include the second terminal in the order allocation pool. For example, in the order processing method of request item 3, the steps for calculating the above remaining completion time include the following steps: Based on the location of the above-mentioned second terminal and the delivery location information of the above-mentioned pre-allocated order, the above-mentioned remaining completion time is calculated. For example, in the order processing method of request item 3, the steps for calculating the above remaining completion time include the following steps: Based on the location of the above-mentioned second terminal, the delivery location information of the above-mentioned pre-allocated order, and the delivery location information of the above-mentioned new order, the above-mentioned remaining completion time is calculated. For example, in the order processing method of request item 3, the steps for calculating the above remaining completion time include the following steps: The remaining completion time is calculated based on the delivery method corresponding to the second terminal. For example, request the order processing method of item 1, where the above status information includes order allocation status, location, delivery method, remaining completion time of pre-allocated orders, predicted pickup time of the above new orders, order allocation rejection rate, and number of completed orders , information on at least one of the order allocation waiting time and the online connection time of the order allocation application. For example, in the order processing method of request item 7, the steps for determining the first temporary allocation terminal include the following steps: Based on calculations of items included in the status information and weighted values corresponding to the items, any one of the plurality of terminals is determined to be the first temporarily allocated terminal. For example, in the order processing method of request item 7, the steps for determining the first temporary allocation terminal include: The steps of calculating the above-mentioned predicted pickup time for each of the above-mentioned plurality of terminals; and The step of determining the terminal with the fastest predicted pickup time is the first temporarily allocated terminal. For example, in requesting the order processing method of item 9, the steps for calculating the above predicted pickup time include: Calculate the above predicted pickup time based on the location of the above-mentioned terminal 1 and the delivery location information of the above-mentioned new order; or Based on the location of the above-mentioned second terminal, the delivery location information of the above-mentioned pre-allocated order, and the delivery location information of the above-mentioned new order, the step of calculating the above-mentioned predicted pickup time is performed. For example, the order processing method of request item 1, wherein the steps of allocating the above-mentioned new order to any one of the above-mentioned plurality of terminals include the following steps: If it is determined that the above-mentioned first terminal is the above-mentioned first temporarily allocated terminal, the above-mentioned new order will be immediately allocated to the above-mentioned first terminal. For example, the order processing method of request item 1, wherein the steps of allocating the above-mentioned new order to any one of the above-mentioned plurality of terminals include: If it is determined that the above-mentioned second terminal is the above-mentioned first temporary allocation terminal, then the step of judging whether the above-mentioned pre-allocation order is completed in the subsequent allocation execution time period (the above-mentioned allocation execution time period is to judge whether the above-mentioned pre-allocation order can be allocated every second critical time) The time period for new orders, the above-mentioned second critical time is a time period shorter than the above-mentioned first critical time); If it is determined that the above-mentioned pre-allocation order has been completed, the above-mentioned new order will be immediately allocated to the above-mentioned second terminal. If it is determined that the above-mentioned pre-allocation order has not been completed, then the second temporary allocation terminal among the above-mentioned plurality of terminals that matches the above-mentioned new order will be determined. steps; and The step of allocating the above-mentioned new order to any one of the above-mentioned plurality of terminals based on the status information of the above-mentioned second temporary allocation terminal. For example, in the order processing method of request item 12, the steps for determining the above-mentioned second temporary allocation terminal include: Steps to update the above-mentioned order allocation pool in a manner corresponding to the above-mentioned subsequent allocation execution time periods; and Steps to determine the above-mentioned second temporary allocation terminal in the updated above-mentioned order allocation pool. For example, in the order processing method of request item 12, the steps for determining the above-mentioned second temporary allocation terminal include the following steps: If it is determined that the above-mentioned second terminal is the above-mentioned second temporarily allocated terminal, and it is determined that the above-mentioned pre-allocation order is not completed within a period longer than the above-mentioned first critical time, that is, the third critical time, then the above-mentioned plural terminals will be Terminals other than the second terminal are determined as the third temporarily allocated terminal; Based on the status information of the above-mentioned second temporary allocation terminal, the steps of allocating the above-mentioned new order to any one of the above-mentioned plurality of terminals include the following steps: Based on the status information of the third temporarily allocated terminal, the new order is allocated to any one of the plurality of terminals. Such as the order processing method of claim 14, wherein the above-mentioned third critical time is a time period variably determined based on the status information of the above-mentioned second terminal. For example, in the order processing method of request item 12, based on the status information of the second temporary allocation terminal, the steps of allocating the above new order include the following steps: Before the above new order allocation is completed, the process is repeated in each subsequent allocation execution time period to determine whether the order for the predetermined temporary allocation terminal is completed, and determine the new temporary allocation terminal. For example, in the order processing method of request item 1, the steps for allocating the above-mentioned new orders include the following steps: If the terminal to which the above-mentioned new order is allocated refuses the allocation of the above-mentioned new order, the fourth temporarily allocated terminal matching the above-mentioned new order will be determined in the above-mentioned order allocation pool other than the terminal allocated to the above-mentioned new order, based on the above-mentioned fourth temporary allocation. The above new order is allocated based on the status information of the terminal. For example, the order processing method of request item 1, wherein the above-mentioned first critical time is a time period variably determined based on the attributes of the above-mentioned new order. An electronic device including: processor; web interface; memory; and The computer program is loaded into the above-mentioned memory and executed by the above-mentioned processor; The above computer programs include: Instructions to identify new orders including pickup location information; Based on the above pickup location information, determine the order allocation pool including the first terminal in the idle state and the second terminal in the delivery state and in the state of completing the pre-allocated order within the first critical time; Based on the status information of each of the plurality of terminals included in the above-mentioned order allocation pool, determine the instruction of the first temporarily allocated terminal among the above-mentioned plurality of terminals that matches the above-mentioned new order; and An instruction to allocate the above-mentioned new order to any of the above-mentioned plurality of terminals based on the status information of the above-mentioned first temporary allocation terminal. Such as the electronic device of request item 19, wherein the above-mentioned status information includes order allocation status, location, delivery method, remaining completion time of pre-allocated orders, predicted pickup time of the above-mentioned new orders, order allocation rejection rate, number of completed orders, Information on at least one of order allocation waiting time and order allocation application online connection time.