KR102632504B1 - Electronic apparatus for processing delivery order and method thereof - Google Patents

Abstract

According to the present disclosure, obtaining a delivery order including store information and item information from a user; Obtaining expected preparation time information for an item corresponding to the item information; determining one or more first candidate delivery sources based on the location information of the store; determining a time to assign a delivery order to a delivery source based on the expected preparation time information and information on the one or more first candidate delivery sources; and assigning the delivery order to a delivery source based on location information of the store based on the determined time and priority information associated with the one or more second candidate delivery sources. A method for processing is disclosed.

Description

Electronic device and method for processing delivery orders {ELECTRONIC APPARATUS FOR PROCESSING DELIVERY ORDER AND METHOD THEREOF}

This disclosure relates to an electronic device and method for processing delivery orders. More specifically, the present disclosure obtains expected preparation time information for items subject to delivery, determines the time to assign a delivery order to a delivery person based on this, and determines the location information of the store and the candidate delivery person when assigning a delivery order. The present invention relates to a method of determining a delivery source to request processing of a delivery order by considering priority information related thereto, and an electronic device using the same.

As the use of the Internet becomes more widespread, the e-commerce market is expanding. In particular, as infectious diseases spread, interest in the field of e-commerce/online purchasing, which allows non-face-to-face product purchases, is rapidly increasing. This trend has also had a positive impact on the food delivery market, and food delivery services based on customer terminals such as smartphones are becoming very active.

Compared to general item delivery, delivery food service places particular importance on rapid delivery to maintain freshness and warmth. Therefore, the delivery person arrives at the store in advance before the store (e.g. restaurant) completes cooking the ordered food, or arrives at the store as quickly as possible after the ordered food is cooked, thereby quickly delivering the ordered food to the customer. Needs to be.

However, if a delivery order is assigned to a delivery person without flexible consideration of the cooking time and location of the delivery person, the delivery person arrives at the store too early and the delivery person waits at the store for a long time, which reduces delivery efficiency. Problems may arise where the delivery person wastes time, and conversely, delivery may be delayed due to the delivery person arriving at the store too late, the freshness of the food may decrease, and customer complaints may accumulate.

In addition to food, this problem may also apply to various items for which rapid delivery is maintained (e.g. flowers, parcels ordered for quick delivery, etc.).

In relation to this, prior literature such as KR101870190B1 or KR20050108168A may be referred to.

The problem that this embodiment aims to solve is to obtain a delivery order including store information and item information from the user, obtain expected preparation time information for the item corresponding to the item information, and store Determine one or more first candidate delivery sources based on the location information, determine a time to assign the delivery order to the delivery source based on the expected preparation time information and the information of the one or more first candidate delivery sources, and at the determined time. The object of the present invention is to provide an electronic device and method for allocating a delivery order to a delivery person based on store location information and priority information associated with one or more second candidate delivery sources.

The technical challenges that this embodiment aims to achieve are not limited to the technical challenges described above, and other technical challenges can be inferred from the following embodiments.

According to one embodiment, a method of processing a delivery order in an electronic device that provides an item delivery service includes obtaining a delivery order including store information and item information from a user; Obtaining expected preparation time information of an item corresponding to the item information; determining one or more first candidate delivery sources based on the location information of the store; determining a time to allocate the delivery order to a delivery person based on the expected preparation time information and the information on the one or more first candidate delivery persons; and allocating the delivery order to a delivery source based on the determined time, wherein the step of allocating the delivery order to a delivery source determines one or more second candidate delivery sources based on the location information of the store. step; obtaining priority information associated with the one or more second candidate delivery sources; and determining a delivery source to request processing of the delivery order among the one or more second candidate delivery sources based on the priority information.

According to one embodiment, the step of determining the one or more second candidate delivery sources includes obtaining information on one or more delivery sources located within a certain radius based on the location information of the store; determining whether the one or more delivery personnel can be assigned the delivery order; and determining the one or more second candidate delivery sources among the one or more delivery sources based on a result of determining whether the delivery order can be assigned.

According to one embodiment, determining whether the delivery order can be assigned includes determining whether the one or more delivery workers are in a delivery available state; determining whether a movement path from the location of the one or more delivery sources to the store satisfies a preset condition; determining whether processing of the delivery order has been requested from the one or more delivery personnel; determining information on means of transportation used by the at least one delivery person; and determining whether the time to be allocated is included in a preset time interval.

According to one embodiment, the preset time interval is set for each regional range, and the step of determining whether the preset time interval includes the regional range to which the location of the one or more delivery sources belongs, and the location of the store. It may include the step of determining whether the method is included in the preset time interval based on at least one of a regional range and a regional range to which a route for the one or more delivery agents to move to the store belongs.

According to one embodiment, the step of obtaining the priority information includes path information for the one or more second candidate deliverymen to move to the store, and time information for the one or more second candidate deliverymen to move to the store. and obtaining first information including at least one of straight-line distance information between the one or more second candidate delivery sources and the store; and generating the priority information based on the first information.

According to one embodiment, the step of assigning the delivery order to a delivery person further includes transmitting a delivery order processing request including delivery order information to a delivery person determined to request processing of the delivery order, and Upon receiving a rejection response to the delivery order processing request from the delivery source determined to request processing of the order, excluding the delivery source determined to request processing of the delivery order from the list of one or more second candidate delivery sources; Based on the priority information, another delivery source may be determined as the delivery source requested to process the delivery order.

According to one embodiment, when, in addition to the delivery order, there is one or more delivery orders to be assigned to a delivery person based on the determined time, the step of determining a delivery person to request processing of the delivery order includes the one or more delivery orders. Determining which of the two candidate delivery sources is not already assigned the one or more delivery orders; And when the non-allocated delivery source exists, it may include determining the delivery source with the highest priority among the non-allocated delivery sources as the delivery source to be requested to process the delivery order.

According to one embodiment, the step of determining a delivery person to request processing of the delivery order may further include delaying the time to assign the delivery order to a delivery person when the non-allocated delivery person does not exist. You can.

According to one embodiment, the processing order of the plurality of delivery orders may be determined based on the order in which the delivery order and the plurality of delivery orders including the one or more delivery orders are obtained.

According to one embodiment, the step of determining the time to be assigned to the delivery person includes the expected preparation completion time of the item according to the expected preparation time of the item and the expected time when the one or more first candidate delivery people move to the store. It may include determining a time to allocate the delivery order based on the travel time.

According to one embodiment, the step of obtaining the expected preparation time information may include calculating the time required to complete preparation of the item based on a pre-learned calculation model.

According to one embodiment, the calculation is performed based on at least one of information input from a store corresponding to the store information, order history information corresponding to the store, and pending order information corresponding to the store, Information input from the store may include information on the expected time for preparation of the item determined by the store.

According to one embodiment, the step of determining the one or more first candidate delivery sources includes determining at least some of the one or more delivery sources located within a certain radius based on the store as the one or more first candidate delivery sources. It can be included.

According to one embodiment, when preparation of the item is completed before the time to allocate the delivery order, the step of allocating the delivery order in response to the completion may be further included.

An electronic device that processes delivery orders according to an embodiment includes a transceiver, a memory for storing commands, and a processor, and the processor is connected to the transceiver and the memory to provide delivery information including store information and item information from a user. Obtain an order, obtain expected preparation time information of an item corresponding to the item information, determine one or more first candidate delivery sources based on the location information of the store, and determine the expected preparation time information and the one or more first candidate delivery sources. 1 Based on the information of the candidate delivery person, a time to assign the delivery order to the delivery person is determined, and the delivery order is assigned to the delivery person based on the determined time, and the processor assigns the delivery order to the delivery person. To allocate to, determine one or more second candidate delivery sources based on the location information of the store, obtain priority information associated with the one or more second candidate delivery sources, and determine the second candidate delivery source based on the priority information. Among one or more second candidate delivery sources, a delivery source that will be requested to process the delivery order is determined.

Specific details of other embodiments are included in the detailed description and drawings.

According to the present disclosure, an electronic device and method for processing a delivery order are provided by obtaining expected preparation time information for an item to be delivered and determining the time to allocate the delivery order to a delivery person based on the obtained information, so that the preparation completion time of the item is The gap between the time the delivery person arrives at the store to pick up the item can be minimized. Through this, quick and timely delivery can be performed while minimizing the delivery person's waiting time.

In addition, according to the present disclosure, the electronic device and method for processing delivery orders process delivery orders by taking into account not only the location information of the store but also the priorities set for delivery persons when assigning delivery orders to delivery persons. By determining which delivery person to request, flexible delivery task allocation that takes into account various factors can be achieved.

The effect of the invention is not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description of the claims.

1 is a schematic configuration diagram showing a delivery order processing system according to an embodiment.
Figure 2 is an operation flowchart of a delivery order processing method for an electronic device in a delivery order processing system according to an embodiment.
FIG. 3 is a diagram illustrating an operation of determining a first candidate delivery source according to an embodiment.
FIG. 4 is a diagram illustrating an operation of determining a second candidate delivery source according to an embodiment.
FIG. 5 is a diagram illustrating an operation of determining whether a time to assign a delivery person is included in a preset time interval according to an embodiment.
FIG. 6 is a diagram illustrating an operation of processing a plurality of delivery orders at a specific time according to an embodiment.
Figure 7 is an operation flowchart of an information processing method in an electronic device according to an embodiment.
Figure 8 is an example diagram of the configuration of an electronic device that processes delivery orders according to an embodiment.

The terms used in the embodiments are general terms that are currently widely used as much as possible while considering the functions in the present disclosure, but this may vary depending on the intention or precedent of a person working in the art, the emergence of new technology, etc. In addition, in certain cases, there are terms arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the relevant description. Therefore, the terms used in this disclosure should be defined based on the meaning of the term and the overall content of this disclosure, rather than simply the name of the term.

When a part in the entire specification is said to “include” a certain element, this means that it does not exclude other elements but may further include other elements, unless specifically stated to the contrary. In addition, terms such as “...unit” and “...module” used in the specification refer to a unit that processes at least one function or operation, which is implemented as hardware or software, or as a combination of hardware and software. It can be.

The expression “at least one of a, b, and c” used throughout the specification means ‘a alone’, ‘b alone’, ‘c alone’, ‘a and b’, ‘a and c’, ‘b and c’. ', or 'all a, b, c'.

The “terminal” mentioned below may be implemented as a computer or portable terminal that can connect to a server or other terminal through a network. Here, the computer includes, for example, a laptop, desktop, laptop, etc. equipped with a web browser, and the portable terminal is, for example, a wireless communication device that guarantees portability and mobility. , all types of communication-based terminals such as IMT (International Mobile Telecommunication), CDMA (Code Division Multiple Access), W-CDMA (W-Code Division Multiple Access), and LTE (Long Term Evolution), smartphones, tablet PCs, etc. It may include a handheld-based wireless communication device.

Below, with reference to the attached drawings, embodiments of the present disclosure will be described in detail so that those skilled in the art can easily practice them. However, the present disclosure may be implemented in many different forms and is not limited to the embodiments described herein.

Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings.

In describing the embodiments, description of technical content that is well known in the technical field to which the present invention belongs and that is not directly related to the present invention will be omitted. This is to convey the gist of the present invention more clearly without obscuring it by omitting unnecessary explanation.

For the same reason, some components are exaggerated, omitted, or schematically shown in the accompanying drawings. Additionally, the size of each component does not entirely reflect its actual size. In each drawing, identical or corresponding components are assigned the same reference numbers.

The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. The present embodiments are merely provided to ensure that the disclosure of the present invention is complete and to provide common knowledge in the technical field to which the present invention pertains. It is provided to fully inform those who have the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

At this time, it will be understood that each block of the processing flow diagram diagrams and combinations of the flow diagram diagrams can be performed by computer program instructions. These computer program instructions can be mounted on a processor of a general-purpose computer, special-purpose computer, or other programmable data processing equipment, so that the instructions performed through the processor of the computer or other programmable data processing equipment are described in the flow chart block(s). It creates the means to perform functions. These computer program instructions may also be stored in computer-usable or computer-readable memory that can be directed to a computer or other programmable data processing equipment to implement a function in a particular manner, so that the computer-usable or computer-readable memory It is also possible to produce manufactured items containing instruction means that perform the functions described in the flowchart block(s). Computer program instructions can also be mounted on a computer or other programmable data processing equipment, so that a series of operational steps are performed on the computer or other programmable data processing equipment to create a process that is executed by the computer, thereby generating a process that is executed by the computer or other programmable data processing equipment. Instructions that perform processing equipment may also provide steps for executing the functions described in the flow diagram block(s).

Additionally, each block may represent a module, segment, or portion of code that includes one or more executable instructions for executing specified logical function(s). Additionally, it should be noted that in some alternative execution examples it is possible for the functions mentioned in the blocks to occur out of order. For example, it is possible for two blocks shown in succession to be performed substantially at the same time, or it is possible for the blocks to be performed in reverse order depending on the corresponding function.

1 is a schematic configuration diagram showing a delivery order processing system according to an embodiment.

According to various embodiments, the delivery order processing system 100 includes an electronic device 110, a user device 120, and a delivery person device 130, and may further include a store device 140 depending on the embodiment. there is. Depending on the embodiment, the delivery order processing system 100 may further include a network supporting information transmission and reception between at least some of the electronic device 110, the user device 120, the delivery person device 130, and the store device 140. It can be included.

The electronic device 110, user device 120, delivery device 130, and store device 140 may each include a transceiver, memory, and processor. In addition, the electronic device 110, user device 120, delivery device 130, and store device 140 each refer to a unit that processes at least one function or operation, which is hardware, software, or hardware. and software. Meanwhile, throughout the embodiment, the electronic device 110, the user device 120, the delivery person device 130, and the store device 140 are each referred to as separate devices or servers, but this may have a logically divided structure. At least some of them may be implemented as separate functions in one device or server.

According to one embodiment, the electronic device 110, the user device 120, the delivery person device 130, and the store device 140 may include a plurality of computer systems or computer software implemented as a network server. For example, at least some of the electronic device 110, user device 120, delivery person device 130, and store device 140 may be subordinate to other network servers capable of communicating with other network servers through a computer network such as an intranet or the Internet. It may refer to a computer system and computer software that is connected to a device, receives a request to perform a task, performs the task, and provides a performance result. In addition, at least some of the electronic device 110, the user device 120, the delivery person device 130, and the store device 140 are configured with a series of applications that can operate on a network server and on other nodes internally or connected. It can be understood as a broad concept that includes various databases. For example, at least some of the electronic device 110, user device 120, delivery person device 130, and store device 140 are DOS, Windows, Linux, UNIX, Alternatively, it can be implemented using a network server program provided in various ways depending on the operating system such as MacOS.

The electronic device 110 is a device that configures and provides various information. The electronic device 110 may provide configured information in the form of a web page or application screen. The electronic device 110 is a device that serves to provide various information, including information related to delivery, such as information related to delivery orders, delivery destination, location of delivery person, and delivery origin, from users, delivery people, sellers, etc. It can be. In relation to this, the electronic device 110 may provide delivery information for receiving input from a user, delivery person, seller, etc. to at least one of the user device 120, the delivery person device 130, and the store device 140. there is.

The electronic device 110 obtains a delivery order including store information and item information from the user. Delivery orders may be obtained through user device 120 . A delivery order obtained from a user may include a delivery request for food. In this case, the food may include various types of food, such as solid food, liquid food (eg, beverage or sauce), and gel-type food.

Meanwhile, in the embodiment, the delivery request is not only a food delivery request, but can also be commonly applied to a service in which the electronic device 110 assigns a delivery person to deliver an item from another entity according to the user's request through relay to perform delivery. . More specifically, in the present invention, a delivery order obtained from a user is not limited to a delivery request for food. For example, delivery orders obtained from users may include orders for items that require rapid delivery, such as flowers, feed, or other living things, in addition to food. Depending on the embodiment, the delivery order obtained from the user is not limited to items requiring rapid delivery and may include delivery of industrial products, etc. In this case, a delivery order requesting quick delivery may be obtained from the user. It is not limited to this. However, for convenience of explanation, hereinafter, an embodiment in which a delivery request for food is obtained from a user will be described. However, throughout the specification, descriptions related to "food" can be broadly understood as descriptions of various items subject to delivery. there is.

The electronic device 110 obtains information on the expected preparation time of the item corresponding to the item information. The electronic device 110 may obtain information on the expected preparation time for an item by calculating the time required to complete preparation of the item using a specific calculation model. Depending on the embodiment, the electronic device 110 may trust the expected item preparation time obtained from the store device 140 as is.

The electronic device 110 determines one or more first candidate delivery sources based on the store location information. According to one embodiment, the electronic device 110 may determine at least some of one or more delivery sources located within a certain radius based on the store as the first candidate delivery source.

The electronic device 110 determines a time to assign a delivery order to a delivery person based on the obtained expected preparation time information and information on one or more first candidate delivery persons. According to one embodiment, the electronic device 110 allocates a delivery order based on the expected preparation completion time of the item according to the expected preparation time of the item and the expected travel time when one or more first candidate delivery personnel moves to the store. You can decide when to do it.

Based on the determined time, the electronic device 110 assigns the delivery order to the delivery person. More specifically, the electronic device 110 determines one or more second candidate delivery sources based on the location information of the store, obtains priority information associated with the one or more second candidate delivery sources, and based on the priority information, Thus, among one or more second candidate delivery sources, a delivery source that will be requested to process the delivery order is determined. In relation to this, the device used by the delivery person assigned to the delivery order may correspond to the delivery person device 130, and the electronic device 110 may allocate the delivery order to the delivery person device 130.

More details related to the operation of the electronic device 110 will be described later in FIG. 2, etc.

The user may correspond to the customer who ordered delivery of food. The user device 120 may be a device that is operated and managed by a user. The user device 120 may receive a user input from a user, etc., or receive information from the electronic device 110, etc., and perform an operation corresponding thereto. For example, the user device 120 may obtain an order from the user and transmit a corresponding delivery order to the electronic device 110 . Alternatively, the user device 120 may receive delivery status information from the electronic device 110 and provide a user interface including the received delivery status information to the user.

Delivery personnel may include various entities that take over food from a seller and perform delivery from the seller to the user. Delivery sources include various operators who provide delivery services in a specific geographic area, and operators may include businesses and individuals. Additionally, a delivery source may include a delivery business regardless of region. Additionally, a delivery source may include various entities that provide delivery services within a range of specific delivery means, and the specific delivery means may include walking, two-wheeled vehicles, bicycles, and automobiles. In addition, depending on the embodiment, the specific delivery means may include various types of delivery means, such as drones and railways. The electronic device 110 selects a delivery source by comprehensively considering the traffic situation or other geographical conditions between the location and movement route of the seller and the customer (e.g., rivers, seas, mountains, unpaved areas, etc. that interfere with smooth movement). Can be assigned to food delivery.

The delivery person device 130 may be a device that is operated and managed by a delivery person assigned to a delivery order. The delivery person device 130 may receive a user input from a delivery person, etc. or receive information from the electronic device 110, etc., and perform an operation corresponding thereto. For example, the delivery person device 130 may receive delivery allocation information from the electronic device 110 and provide a user interface including the received delivery allocation information to the delivery person.

The seller may correspond to the entity that sells the food. The store device 140 may be a device operated and managed by a seller. The store device 140 may receive a user input from a seller, etc. or receive information from the electronic device 110, etc., and perform an operation corresponding thereto. For example, the store device 140 may receive delivery order information or delivery person information to perform delivery from the electronic device 110 and provide a user interface including this to the seller. Alternatively, the store device 140 may receive the estimated food cooking time from the seller and transmit it to the electronic device 110. The store device 140 of the embodiment may include a terminal used by a seller, and may be implemented by installing an application on a smartphone or by installing an application on a POS machine.

In relation to this, the user device 120, the delivery person device 130, and the store device 140 include information received from the electronic device 110, etc. or output a user interface generated based on the received information on a screen, etc. It can be converted into a form that can be output on a device and provided to users, delivery workers, sellers, etc. Alternatively, the user device 120, the delivery person device 130, and the store device 140 may provide information received from the electronic device 110, etc., as is, without conversion, through an output device such as a screen.

The user device 120, delivery person device 130, and store device 140 may include a computer device, a mobile communication terminal, a server, etc. The user device 120, the delivery person device 130, and the store device 140 may include, or be connected to, an input device such as a touch pad, mouse, or keyboard for receiving user input. Additionally, the user device 120, the delivery person device 130, and the store device 140 may include, or be connected to, an output device such as a screen, speaker, or interface device for providing information to the user. Furthermore, the input and output devices of the user device 120, the delivery person device 130, or the store device 140 may be integrated or interrelated, such as the user device 120 or the delivery person device 130. An interface for receiving user input may be displayed.

Operations related to a series of information processing methods according to various embodiments may be implemented by a single physical device, or may be implemented by organically combining a plurality of physical devices. For example, some of the components included in the delivery order processing system 100 may be implemented by one physical device, and some of the components may be implemented by another physical device. For example, one physical device may be implemented as part of the electronic device 110, and another physical device may be implemented as part of the user device 120 or as part of another external device. In some cases, each component included in the delivery order processing system 100 is distributed and placed in different physical devices, and the distributed components are organically combined to improve the function of the delivery order processing system 100. and may be implemented to perform operations. For example, the electronic device 110 of this specification includes at least one sub-device, and some operations described as being performed by the electronic device 110 are performed by the first sub-device, and some other operations are performed by the second sub-device. It may also be performed by a device.

Figure 2 is an operation flowchart of a delivery order processing method for an electronic device in a delivery order processing system according to an embodiment.

Referring to FIG. 2, the electronic device 110 according to one embodiment obtains a delivery order including store information and item information from the user device 120 (201). As described above, an embodiment in which the item subject to a delivery order is food is described, but descriptions related to “food” throughout the specification can be broadly understood as descriptions of various items subject to delivery. The electronic device 110 may request the preparation of store food corresponding to the delivery order obtained from the user device 120. Additionally, the electronic device 110 may request the store seller to prepare food based on store information included in the delivery order.

The electronic device 110 obtains information on the expected preparation time of the item corresponding to the item information (202). As described above, the electronic device 110 may obtain information on the expected preparation time for an item by calculating the time required to complete preparation of the item based on a specific calculation model. According to one embodiment, the electronic device 110 may calculate the time required to complete preparation of the item based on a calculation model based on a machine learning algorithm. In this case, the calculation model may be pre-trained.

The electronic device 110 may calculate the required time based on at least one of information input from the store device 140, order history information corresponding to the store, and pending order information corresponding to the store. In this case, at least one of information input from the store device 140, order history information corresponding to the store, and pending order information corresponding to the store may be input to the calculation model. In relation to this, the information input from the store device 140 may include expected time information for preparation of the item determined by the store (eg, determined by the seller or determined by the store device 140). In relation to this, the order history information corresponding to the store includes the past order history of the item, and the pending order information corresponding to the store includes at least one of the quantity of delivery orders pending in the store and the quantity of a specific item ordered in the store. It can be included.

When the calculation model operates based on a machine learning algorithm, the calculation model operates at the same time with respect to each of the plurality of orders included in the information input from the past store, past order history information corresponding to the store, and past order history information. It may have been learned based on at least some of the order information that was pending on. In relation to this, a past store related to learning of the calculation model may be a store corresponding to the store device 140. Alternatively, a past store may include a plurality of stores including the store device 140.

The electronic device 110 determines one or more first candidate delivery sources based on the store location information (203). According to one embodiment, the electronic device 110 may determine at least some of one or more delivery sources located within a certain radius based on the store as the first candidate delivery source. In other words, when the electronic device 110 determines the first candidate delivery source, information on the delivery person's means of transportation, information on the travel route to the store, information on the travel time to the store, etc. may not be separately determined.

Since the electronic device 110 determines at least some of the one or more delivery sources located within a certain radius based on the store as the first candidate delivery source, the first candidate delivery source can be determined without using separate navigation information. You can save resources, costs, and time to obtain navigation information externally.

For each order, the electronic device 110 may determine a preset number of first candidate delivery sources. For example, the electronic device 110 may determine 10 first candidate delivery people. If there are less than 10 delivery workers located within a certain radius, depending on the embodiment, the electronic device 110 determines the delivery workers located within the certain radius as the first candidate delivery sources, or selects 10 delivery workers to be located within the radius. You can increase the length of the radius that serves as the criterion for judgment.

Depending on the embodiment, the electronic device 110 may determine the first candidate delivery source using navigation information. For example, the electronic device 110 may consider the means of transportation used by the delivery person and determine at least some of one or more delivery persons whose travel path to the store is within a certain distance as the first candidate delivery source. Alternatively, the electronic device 110 may further consider various factors such as traffic on the movement path and determine at least some of the one or more delivery sources that can move to the store within a certain time as the first candidate delivery source. In this case, since more diverse factors can be considered when determining the first candidate delivery source, there is an advantage in that the time to allocate the delivery order to the delivery source can be determined more precisely.

However, for convenience of explanation, hereinafter, embodiments of determining at least some of one or more delivery sources located within a certain radius based on the store as the first candidate delivery source will be described.

An example related to determining the first candidate delivery source will be described later in FIG. 3.

The electronic device 110 determines a time to assign a delivery order to a delivery person based on the obtained expected preparation time information and information on one or more first candidate delivery persons (204). As described above, the electronic device 110 according to one embodiment orders delivery based on the expected preparation completion time of the item according to the expected preparation time of the item and the expected travel time when one or more first candidate delivery personnel moves to the store. You can decide the time to allocate. Specifically, the electronic device 110 may determine a time to allocate a delivery order based on the result of calculating the travel time of the first candidate delivery person back from the time the item was prepared. In relation to this, the travel time of the first candidate delivery person may correspond to the arithmetic average of the expected travel times when moving to the store for each of the plurality of first candidate delivery people. However, the travel time of the first candidate delivery person is not necessarily limited to this, and the travel time of the delivery person who can arrive at the store earliest among the first candidate delivery people is determined as the travel time of the first candidate delivery person, etc. The travel time of the first candidate delivery person may be determined based on various methods.

On the other hand, if the expected preparation time of the item is shorter than the expected travel time when the first candidate delivery person moves to the store (in other words, the result of calculating the movement time of the first candidate delivery person from the item preparation completion time is the current time) previously), the electronic device 110 may immediately assign a delivery order. In addition, even if the expected preparation time of the item is longer than the expected travel time when the first candidate delivery person moves to the store, if the preparation of the item is completed before the time to allocate the delivery order, the electronic device 110 completes delivery. You can immediately assign delivery orders in response.

As an example, if the acquisition time of the delivery order is 18:30, the expected preparation time for the item is 20 minutes, and the expected travel time for one or more first-party couriers to the store is 7 minutes, the electronic device 110 ) sums the expected preparation time of the item from the acquisition time of the delivery order, determines the preparation completion time of the item to be 18:50, and then calculates the expected travel time when one or more first candidate delivery personnel moves to the store. “18:43” can be obtained as a result.

According to one embodiment, the electronic device 110 may determine the time to allocate the delivery order at the time corresponding to the result of calculating the travel time of the first candidate delivery person back from the time when the item was prepared. According to one embodiment, the electronic device 110 may allocate a delivery order at a time corrected by calculating the travel time of the first candidate delivery person from the time the item was prepared. In this case, the electronic device 110 may perform correction based on the pros and cons of when the delivery person arrives at the store earlier than the food preparation completion time and the pros and cons of when the delivery person arrives at the store later than the food preparation completion time. For example, in the case where it is more important not to have a disruption in the prompt delivery of food even if work efficiency is reduced due to the delivery person waiting at the store, the electronic device 110 determines the travel time of the first candidate delivery person from the time of completion of preparation of the item. Delivery orders can be assigned earlier than the inverse calculation results. For example, if the expected travel time when one or more first candidate deliverymen moves to the store is 7 minutes, and the preparation completion time of the item determined by the electronic device 110 is 18:50, the electronic device 110 may send one or more candidates to the store. The corrected 18:40 can be determined as the allocated time by further calculating a certain amount of time (in this case, 3 minutes) from 18:43, which is the result of recalculating the expected travel time when the candidate delivery person moves to the store.

The electronic device 110 allocates the delivery order to the delivery person based on the determined allocation time (205). In this case, the assigned delivery person does not have to be included in the first candidate delivery source. More specifically, the electronic device 110 determines one or more second candidate delivery sources based on the location information of the store, obtains priority information associated with the one or more second candidate delivery sources, and Based on the ranking information, a delivery source to request processing of a delivery order among one or more second candidate delivery sources is determined.

One or more second candidate delivery sources may be determined by specifically considering the travel time to the store, etc. using navigation information. According to one embodiment, the electronic device 110 obtains information on one or more delivery workers located within a certain radius based on the location information of the store, determines whether one or more delivery people can be assigned a delivery order, and , Based on the result of determining whether a delivery order can be assigned, one or more second candidate delivery sources among the one or more delivery sources may be determined.

According to one embodiment, the electronic device 110 determines whether a delivery person is in a delivery available state, and may prevent a delivery person not in a delivery available status from being included in one or more second candidate delivery sources. In relation to this, whether the delivery person is available for delivery may be determined by taking into account at least one of whether the delivery person is present for work if employed by the service provider and whether the delivery person has expressed his/her intention to be assigned delivery work if he/she is a freelancer. . Additionally, whether delivery is possible can be determined by taking into account at least one of whether the task being performed by the delivery person includes delivery work and whether there is work scheduled to be performed by the delivery person at the time of assigning the delivery person.

According to one embodiment, the electronic device 110 determines whether the movement path from the location of one or more deliverymen to the store satisfies a preset condition, and if the preset condition is satisfied, the deliveryman is one or more You can prevent it from being included as a second candidate delivery source. Preset conditions may include cases where there are obstacles that may make movement difficult on the route, such as having to move across a river or over a mountain. Additionally, the preset condition may include whether the movement path exceeds the preset time.

According to one embodiment, the electronic device 110 may determine whether processing of the corresponding delivery order has been requested from one or more delivery personnel. In the case of a delivery person who has been requested to process the delivery order, the electronic device 110 determines that the delivery person refused the assignment or there was a reason why the delivery person could not be assigned the delivery order, and the delivery person is given the corresponding delivery order. may not be allocated.

According to one embodiment, the electronic device 110 may determine information on the means of transportation used by one or more delivery persons and determine one or more second candidate delivery persons based on this information. For example, the electronic device 110 may determine a radius for assigning delivery orders for each means of transportation, taking into account the movement speed of the means of transportation used by one or more delivery people, and assign delivery orders to delivery people within the radius. You can judge whether or not. For example, in relation to a delivery person who moves on foot, the electronic device 110 determines whether a delivery order can be assigned to a delivery person located within a 1 km radius of the store, and in relation to a delivery person who moves on a bicycle, the electronic device 110 determines whether a delivery order can be assigned. Determine whether a delivery order can be assigned to a delivery person located within a 1.8 km radius of the store, and in relation to a delivery person moving by car, whether a delivery order can be assigned to a delivery person located within a 4 km radius of the store. can be judged. In addition, the electronic device 110 determines whether a delivery order can be assigned to a delivery person within a fixed radius, but determines the assignment probability to be lower for a delivery person using a slower means of movement, such as determining the probability of assignment to a delivery person using a slower means of movement. Various embodiments may exist for determining one or more second candidate delivery sources based on vehicle information.

According to one embodiment, the electronic device 110 may determine whether the time to allocate a delivery person is included in a preset time period and determine one or more second candidate delivery sources based on this. The preset time section may include, for example, a rush hour section, such as a rush hour section where traffic is concentrated.

More details related to the preset time interval are described later in FIG. 5.

In conclusion, the electronic device 110 according to one embodiment determines whether a delivery order can be assigned, whether one or more delivery people are in a delivery available state, and movement from the location of the one or more delivery people to the store. Whether the route satisfies preset conditions, whether one or more delivery workers have been requested to process a delivery order, the result of determining the transportation method information used by one or more delivery people, and whether the time to be assigned is within the preset time section. Various factors can be considered, including at least one of whether or not. The electronic device 110 may determine one or more second candidate delivery sources based on the result of determining whether a delivery order can be assigned.

For each order, the electronic device 110 may determine a preset number of second candidate delivery sources. For example, the electronic device 110 may determine five second candidate delivery people. If the number of second candidate delivery people determined according to the judgment standard is less than 10, depending on the embodiment, the electronic device 110 may relax the judgment standard until the number of second candidate delivery people is 10.

An example related to determining the second candidate delivery source will be described later in FIG. 4.

The electronic device 110 obtains priority information associated with one or more second candidate delivery sources. The electronic device 110 may generate priority information or receive priority information from a device such as another server.

Priority information according to one embodiment may include a value assigned to one or more second candidate delivery sources. In this case, the priority information may include a value given or calculated for each delivery source, rather than a value generated as a result of a relative comparison of one or more second candidate delivery sources. Alternatively, priority information according to one embodiment may include relative ranking information between one or more second candidate delivery sources.

The electronic device 110 determines a delivery source to request processing of a delivery order based on the obtained priority information. In this case, the electronic device 110 may transmit a request to process a delivery order to the delivery person. In relation to this, a request to process a delivery order transmitted by the electronic device 110 may include delivery order information.

According to one embodiment, the electronic device 110 includes route information for one or more second candidate delivery people to move to the store, time information for one or more second candidate delivery people to move to the store, and one or more second candidate delivery people. First information including at least one of straight-line distance information between the source and the store may be acquired, and priority information associated with one or more second candidate delivery sources may be generated based on the obtained first information. For example, the priority information associated with the second candidate delivery person is set to have a higher priority as the length of the route for the delivery person to move to the store is shorter, or the shorter the time for the delivery person to move to the store, the higher the priority is. It can be set to have priority, or it can be set to have higher priority as the straight-line distance between the delivery person and the store is shorter.

Depending on the embodiment, the delivery person may independently decide whether to accept or reject the assigned task. In this case, when the electronic device 110 receives a rejection response to the delivery order processing request from the delivery person determined to request processing of the delivery order, the electronic device 110 selects the delivery person determined to request processing of the delivery order. One or more second candidate delivery sources may be excluded from the list, and another delivery source may be determined as the delivery source requested to process the delivery order based on priority information.

In relation to this, the electronic device 110 according to one embodiment may inquire about the reason for the delivery person's rejection upon receiving the delivery person's rejection response, and a user interface including such inquiry may be displayed on the delivery person device 140. there is. Depending on the embodiment, the user interface including the inquiry may further include an interface for withdrawing the delivery person's rejection response. By inquiring about the reason for rejection from the delivery person in this way, not only can the information on the delivery person's reason for rejection be used to improve the delivery system, but it is also possible to induce the delivery person to change his mind and accept the delivery order.

According to one embodiment, if, in addition to the delivery order corresponding to drawing number 201, there is one or more delivery orders that must be assigned to the delivery person based on the determined allocation time, the processing order of the delivery order corresponding to drawing number 201 is reached. If so, the electronic device 110 determines which delivery person among the one or more second candidate delivery persons has not already been assigned one or more delivery orders, and if there is a delivery person who has not been already assigned, the electronic device 110 determines the delivery person with the highest score among the not already assigned delivery persons. The delivery order corresponding to drawing number 201 can be assigned by determining the priority delivery source as the delivery source that will request processing of the delivery order.

A more detailed explanation regarding the case where there are multiple delivery orders that must be assigned to a delivery person based on the determined allocation time will be described later with reference to FIG. 6 .

FIG. 3 is a diagram illustrating an operation of determining a first candidate delivery source according to an embodiment.

Referring to FIG. 3 , the electronic device 110 according to one embodiment may determine at least some of one or more delivery sources located within a certain radius based on the store 301 as the first candidate delivery source (300). In this case, the first candidate delivery source may be determined as many as a preset number, but is not limited to this.

Reference numerals 302 to 308 may each indicate a delivery source located within a certain radius based on the store 301. The type of each icon may indicate the means of transportation used by the delivery person. However, since the first candidate delivery person is not a candidate determined to actually be assigned a delivery order, but rather a candidate for determining the allocation time of the delivery order, it is necessary to select the optimal delivery person for delivery as a candidate for the second candidate delivery person. It may be lower compared to . Therefore, unlike the second candidate delivery person, the first candidate delivery person only determines the first candidate delivery source based on whether the delivery person is located within a certain radius based on the store 301, the means of transportation used by the delivery person, or the time period. Whether or not you can move to the store within the store may not be considered. Accordingly, all delivery sources corresponding to reference numerals 302 to 308 may be determined as first candidate delivery sources.

In conclusion, by determining the first candidate delivery source by considering the radius based on the store 301 without using separate navigation information, it is possible to save resources, costs, and time for obtaining navigation information externally. .

FIG. 4 is a diagram illustrating an operation of determining a second candidate delivery source according to an embodiment.

Referring to FIG. 4, the electronic device 110 according to one embodiment determines whether one or more deliverymen are in a delivery state, whether the movement path from the location of the one or more deliverymen to the store satisfies preset conditions, Various factors including at least one of whether one or more delivery workers have been requested to process a delivery order, the result of determining the transportation method information used by one or more delivery people, and whether the time to be assigned is included in a preset time period. It may be determined whether a delivery order can be assigned, and one or more second candidate delivery sources may be determined based on the determination result (400).

For example, reference numerals 302 to 308 each correspond to delivery sources located within a certain radius based on the store 301, and at least some of these may not be included in the second candidate delivery sources. Specifically, in the case of the delivery person corresponding to reference numeral 305, since he is a delivery person whose means of transportation is walking, considering the distance from the store 301, it is judged that he cannot move to the store within a certain time, so he is included in the second candidate delivery person. It may not work. In addition, in the case of the delivery person corresponding to reference numeral 306 and the delivery person corresponding to reference number 307, they are located across the river from the store 301 and must move across the river to reach the store, so they are the second candidates. It may not be included in the delivery source. In addition, the delivery person corresponding to reference numeral 308 may not be included in the second candidate delivery person because it is performing delivery and is not in a delivery possible state.

FIG. 5 is a diagram illustrating an operation of determining whether a time to assign a delivery person is included in a preset time interval according to an embodiment.

Referring to FIG. 5, the electronic device 110 according to one embodiment may determine whether the time to assign a delivery person is included in a preset time period and determine one or more second candidate delivery sources based on this. . The preset time section may include, for example, a rush hour section, such as a rush hour section where traffic is concentrated.

According to one embodiment, a preset time section may be set for each regional range (500). For example, reference numeral 510 corresponds to the result of dividing the traffic congestion by a certain regional range as of 6 PM, and reference numeral 520 corresponds to the result of dividing the traffic congestion by a certain regional range as of 8 PM. It can correspond to one result. In relation, "smooth" means that traffic congestion is below the first threshold, "slow" means that traffic congestion is above the first threshold but below the second threshold, and "congestion" means that traffic congestion is below the second threshold. This may mean that it is in a state of exceeding the threshold.

When a preset time section is set for each regional range, for the same time, there may be an area where the time corresponds to the preset time section and an area where the time does not correspond to the preset time section. For example, if the preset time section refers to the rush hour section where traffic is concentrated, areas marked as "congested" as of 6 p.m. correspond to the preset time section of 6 p.m., but as "smooth" as of 6 p.m. Areas marked with may not fall within the preset time zone of 6 p.m.

The electronic device 110 is configured to preset a time interval based on at least one of the regional range to which the location of one or more delivery people belongs, the regional range to which the location of the store belongs, and the regional range to which the route for one or more delivery people to move to the store belongs. You can determine whether or not it is included. That is, the electronic device 110 determines whether the time to allocate a delivery order is included in the time section preset for one or more delivery members by generally considering the congestion of the route for one or more delivery people to move to the store. can do. For example, based on the time at which the delivery order is assigned, the first carrier includes only the areas where the route to the store is marked as "smooth," and some of the areas where the route to the store is marked as "slow." If there is a second delivery source that includes and a third delivery source that includes most of the route to the store in an area marked as "congested," delivery orders can be assigned to the first and second delivery sources. While the time is not included in the preset time interval, the time to assign the delivery order to the third delivery person may be included in the preset time interval. In this case, the electronic device 110 may not include the third delivery source as the second candidate delivery source.

FIG. 6 is a diagram illustrating an operation of processing a plurality of delivery orders at a specific time according to an embodiment.

Referring to FIG. 6, a case where there are a plurality of delivery orders that must be assigned to a delivery person based on an allocation time determined according to an embodiment is shown (i.e., in addition to the delivery order corresponding to drawing number 201, there are multiple delivery orders based on the determined allocation time). (600). In this case, when the processing order of the delivery order corresponding to drawing number 201 is reached, the electronic device 110 determines which delivery person among the one or more second candidate delivery sources has not already been assigned one or more delivery orders, and selects the delivery person who has not already been assigned. If a delivery source exists, the delivery order corresponding to drawing number 201 can be assigned by determining the delivery source with the highest priority among delivery sources that have not been previously assigned as the delivery source that will request processing of the delivery order.

More specifically, referring to drawing number 600, delivery order #111, delivery order #113, delivery order #114, and delivery order #117 may need to be processed at the determined allocation time. In this case, delivery orders are numbered sequentially based on the acquisition time from the user, and even if delivery orders are obtained at a similar time, the time to be assigned to the delivery person may not be similar, so they must be processed at the determined assignment time. The numbers of delivery orders may not be consecutive.

According to one embodiment, when processing a plurality of delivery orders at a specific time, the processing order of the plurality of delivery orders may be determined based on the order in which the plurality of delivery orders are obtained. In this case, if delivery orders are sequentially numbered based on the time of acquisition from the user, multiple delivery orders to be processed at a specific time may be processed in descending order of number. That is, in the example of drawing number 600, the electronic device 110 may process orders in the order of delivery order #111, delivery order #113, delivery order #114, and delivery order #117.

In the example of drawing number 600, when the processing order of each delivery order is reached, the electronic device 110 determines which delivery person has not already been assigned one or more delivery orders among one or more second candidate delivery persons corresponding to each delivery order, and , if there is an unassigned delivery person, the delivery order can be assigned to the delivery person with the highest priority among the unassigned delivery people. For example, in the example of drawing number 600, one or more second candidate delivery personnel for delivery order #111 are indicated at drawing number 610 in order of priority, and if no delivery person has already been assigned a delivery order among them, the highest priority is given. Eggplant can select courier #11. In addition, one or more second candidate delivery workers for delivery order #113 are indicated at reference numeral 620 in order of priority, and delivery person #11 with the highest priority among them is next since he has already been assigned the delivery order. You can select courier #6, which has high priority. Additionally, one or more second candidate carriers for delivery order #114 are indicated at 630 in order of priority, with carrier #6 having the highest priority and carrier #6 having the next highest priority. Since #11 has already been assigned the delivery order, he can select deliveryman #3, who has the next highest priority. In addition, one or more second candidate delivery workers for delivery order #117 are indicated at 640 in order of priority, with delivery person #11 having the highest priority among them being next since he has already been assigned delivery order. You can select courier #8, which has high priority.

In this way, the electronic device 110 can assign each delivery order to a delivery person by selecting the delivery person with the highest priority among delivery persons who have not previously been assigned a delivery order. Meanwhile, in relation to a specific delivery order, if there is no delivery person who has not already been assigned a delivery order among one or more second candidate delivery persons for the delivery order, the electronic device 110 sends the delivery order to the delivery person. The allocation time can be delayed. According to one embodiment, the electronic device 110 is a second candidate delivery person who has not already been assigned a delivery order (in this case, the previously assigned delivery order has been completed or the assignment to the previously assigned delivery order has been released). You can delay the time to assign delivery orders to a delivery person until a source is available.

Figure 7 is an operation flowchart of an information processing method in an electronic device according to an embodiment.

Referring to FIG. 7, the electronic device 110 according to one embodiment obtains a delivery order including store information and item information from the user (710). Delivery orders may be obtained through user device 120 .

The electronic device 110 obtains information on the expected preparation time of the item corresponding to the item information (720). The electronic device 110 may obtain information on the expected preparation time for an item by calculating the time required to complete preparation of the item using a specific calculation model.

The electronic device 110 determines one or more first candidate delivery sources based on the store location information (730). According to one embodiment, the electronic device 110 may determine at least some of one or more delivery sources located within a certain radius based on the store as the first candidate delivery source.

The electronic device 110 determines a time to assign a delivery order to a delivery person based on the expected preparation time information and information on one or more first candidate delivery persons (740). According to one embodiment, the electronic device 110 allocates a delivery order based on the expected preparation completion time of the item according to the expected preparation time of the item and the expected travel time when one or more first candidate delivery personnel moves to the store. You can decide when to do it.

The electronic device 110 allocates the delivery order to the delivery person based on the determined time (750). More specifically, the electronic device 110 determines one or more second candidate delivery sources based on the location information of the store, obtains priority information associated with the one or more second candidate delivery sources, and based on the priority information, Thus, among one or more second candidate delivery sources, a delivery source that will be requested to process the delivery order is determined. In relation to this, the electronic device 110 may assign a delivery order to the delivery person device 130, which is a device used by the delivery person assigned to the delivery order.

Figure 8 is an example diagram of the configuration of an electronic device that processes delivery orders according to an embodiment.

Referring to FIG. 8 , the electronic device 110 includes a transceiver 810, a processor 820, and a memory 830. The electronic device 110 is connected to the user device 120, the delivery person device 130, and other external devices through the transceiver 810, and can exchange data.

The processor 820 may include at least one device described above with reference to FIGS. 1 to 7 or may perform at least one method described above with reference to FIGS. 1 to 7 . The memory 830 may store information for performing at least one method described above with reference to FIGS. 1 to 7 . Memory 830 may be volatile memory or non-volatile memory.

The processor 820 can control the electronic device 110 to execute programs and provide information. The code of the program executed by the processor 820 may be stored in the memory 830.

Additionally, the electronic device 110 in one embodiment may further include an interface that can provide information to the user.

Meanwhile, the specification and drawings disclose preferred embodiments of the present invention, and although specific terms are used, they are used in a general sense to easily explain the technical content of the present invention and to aid understanding of the present invention. It is not intended to limit the scope of the invention. In addition to the embodiments disclosed herein, it is obvious to those skilled in the art that other modifications based on the technical idea of the present invention can be implemented.

The electronic device or terminal according to the above-described embodiments includes a processor, memory for storing and executing program data, permanent storage such as a disk drive, a communication port for communicating with an external device, a touch panel, and a key. ), user interface devices such as buttons, etc. may be included. Methods implemented as software modules or algorithms may be stored on a computer-readable recording medium as computer-readable codes or program instructions executable on the processor. Here, computer-readable recording media include magnetic storage media (e.g., ROM (read-only memory), RAM (random-access memory), floppy disk, hard disk, etc.) and optical read media (e.g., CD-ROM). ), DVD (Digital Versatile Disc), etc. The computer-readable recording medium is distributed among computer systems connected to a network, so that computer-readable code can be stored and executed in a distributed manner. The media may be readable by a computer, stored in memory, and executed by a processor.

This embodiment can be represented by functional block configurations and various processing steps. These functional blocks may be implemented in various numbers of hardware or/and software configurations that execute specific functions. For example, embodiments include integrated circuit configurations such as memory, processing, logic, look-up tables, etc. that can execute various functions under the control of one or more microprocessors or other control devices. can be hired. Similar to how the components can be implemented as software programming or software elements, the present embodiments include various algorithms implemented as combinations of data structures, processes, routines or other programming constructs, such as C, C++, Java ( It can be implemented in a programming or scripting language such as Java, assembler, Python, etc. Functional aspects may be implemented as algorithms running on one or more processors. Additionally, this embodiment may employ conventional technologies for electronic environment settings, signal processing, and/or data processing. Terms such as “mechanism,” “element,” “means,” and “composition” can be used broadly and are not limited to mechanical and physical components. The term may include the meaning of a series of software routines in connection with a processor, etc.

The above-described embodiments are merely examples and other embodiments may be implemented within the scope of the claims described below.

Claims (19)

In a method of processing a delivery order in an electronic device providing item delivery service,
Obtaining a delivery order including store information and item information from a user;
Obtaining expected preparation time information of an item corresponding to the item information;
determining one or more first candidate delivery sources based on the location information of the store;
determining a time to allocate the delivery order to a delivery person based on the expected preparation time information and the information on the one or more first candidate delivery persons; and
A step of determining a delivery source among one or more second candidate delivery sources to request processing of the delivery order at the determined time,
The step of determining the time to assign the delivery order to the delivery person is
If the expected travel time for the one or more first candidate delivery people to travel to the store is longer than the expected preparation time for the item, allocating an immediate delivery order; and
If at least one of the expected travel times for the one or more first candidate delivery sources to travel to the store is shorter than the expected preparation time for the item,
calculating an expected travel time when the one or more first candidate delivery persons move to the store from the expected preparation completion time of the item according to the expected preparation time of the item;
Comparing the pros and cons of a delivery person arriving at the store earlier than the preparation completion time of the item with the pros and cons of arriving at the store later than the preparation completion time of the item; and
Based on the comparison result, correcting the inverse calculation result to determine a time to assign the delivery order to a delivery person.
Shipping order processing methods, including .
According to paragraph 1,
A delivery order processing method further comprising determining the one or more second candidate delivery sources based on the location information of the store.
According to paragraph 2,
The step of determining the one or more second candidate delivery sources is
Obtaining information on one or more delivery sources located within a certain radius based on the location information of the store;
determining whether the one or more delivery personnel can be assigned the delivery order; and
A delivery order processing method comprising the step of determining the one or more second candidate delivery sources among the one or more delivery sources based on a result of determining whether the delivery order can be assigned.
According to paragraph 3,
The step of determining whether the delivery order can be assigned is
determining whether the one or more delivery sources are available for delivery;
determining whether a movement path from the location of the one or more delivery sources to the store satisfies a preset condition;
determining whether processing of the delivery order has been requested from the one or more delivery personnel;
determining information on means of transportation used by the at least one delivery person; and
A delivery order processing method comprising at least one of determining whether the time to be allocated is included in a preset time interval.
According to clause 4,
The preset time interval is set for each regional range,
The step of determining whether it is included in the preset time interval is
The preset time interval is based on at least one of a regional range to which the location of the one or more delivery people belongs, a regional range to which the location of the store belongs, and a regional range to which a route for the one or more delivery people to move to the store belongs. A delivery order processing method comprising the step of determining whether a delivery order is included.
According to paragraph 1,
The step of determining the delivery source to request processing of the delivery order is
obtaining priority information associated with the one or more second candidate delivery sources; and
A delivery order processing method comprising the step of identifying a delivery source who will request processing of the delivery order based on the priority information.
According to clause 6,
The step of obtaining the priority information is
Path information for the one or more second candidate delivery people to move to the store, time information for the one or more second candidate delivery people to move to the store, and a straight line distance between the one or more second candidate delivery people and the store. Obtaining first information including at least one of the information; and
A delivery order processing method comprising generating the priority information based on the first information.
According to clause 6,
Further comprising transmitting a delivery order processing request including delivery order information to a delivery person determined to request processing of the delivery order,
When receiving a rejection response to the delivery order processing request from the delivery person determined to request processing of the delivery order, the electronic device selects the delivery source determined to request processing of the delivery order as the one or more second candidate delivery members. A delivery order processing method comprising excluding from the list and determining another delivery source as the delivery source requesting processing of the delivery order based on the priority information.
According to paragraph 1,
In addition to the delivery order, if there is one or more delivery orders that must be assigned to a delivery person at the determined time,
The step of determining the delivery source to request processing of the delivery order is
determining a delivery person among the one or more second candidate delivery persons who has not been previously assigned the one or more delivery orders; and
When the non-allocated delivery source exists, a delivery order processing method comprising the step of confirming the delivery source with the highest priority among the non-allocated delivery sources based on priority information.
According to clause 9,
The step of determining the delivery source to request processing of the delivery order is
When the non-allocated delivery person does not exist, a delivery order processing method further comprising delaying the time at which the delivery order is assigned to the delivery person.
According to clause 9,
A delivery order processing method, wherein a processing order of the plurality of delivery orders is determined based on an order of obtaining the delivery order and the plurality of delivery orders including the one or more delivery orders.
delete delete According to paragraph 1,
The step of obtaining the expected preparation time information is
A delivery order processing method comprising calculating the time required to complete preparation of the item based on a pre-learned calculation model.
According to clause 14,
The calculation is performed based on at least one of information input from a store corresponding to the store information, order history information corresponding to the store, and pending order information corresponding to the store,
A delivery order processing method, wherein the information input from the store includes expected time information for preparation of the item as determined by the store.
According to paragraph 1,
The step of determining the one or more first candidate delivery sources is
A delivery order processing method comprising determining at least some of one or more delivery sources located within a certain radius based on the store as the one or more first candidate delivery sources.
According to paragraph 1,
When preparation of the item is completed before the determined time, the delivery order processing method further comprises the step of determining a delivery source to request processing of the delivery order in response to the completion.
A non-transitory computer-readable recording medium that records a program for executing the method of claim 1 on a computer.
In an electronic device that processes delivery orders,
Includes a transceiver, memory for storing instructions, and a processor;
The processor is connected to the transceiver and the memory,
Obtaining a delivery order including store information and item information from the user, obtaining expected preparation time information of the item corresponding to the item information, and determining one or more first candidate delivery sources based on the location information of the store; , based on the expected preparation time information and the information on the one or more first candidate delivery sources, determines a time to assign the delivery order to a delivery source, and orders the delivery order at the determined time among one or more second candidate delivery sources. Determine the delivery source to request processing of,
To determine a time to assign the delivery order to a delivery person, the processor:
If the expected travel time for the one or more first candidate couriers to travel to the store is longer than the expected preparation time for the item, assign an immediate delivery order;
If at least one of the expected travel times for the one or more first candidate delivery sources to move to the store is shorter than the expected preparation time of the item, the preparation completion time of the item expected according to the expected preparation time of the item is Calculate the expected travel time when one or more first candidate delivery people travel to the store, the pros and cons of the delivery person arriving at the store earlier than the ready time of the item, and the pros and cons of arriving at the store later than the ready time of the item. An electronic device that compares the pros and cons upon arrival, and determines a time to assign the delivery order to a delivery person by correcting the inverse calculation result based on the comparison result.

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