KR102403710B1 - Electronic apparatus for processing delivery order and method thereof - Google Patents

Abstract

Disclosed is a method for processing a delivery order, which is performed by an electronic device for providing an item delivery service. The method for processing a delivery order according to the present invention comprises the following steps of: obtaining a delivery order including store information and item information from a user; obtaining information on predicted time for preparing an item, which corresponds to the item information; determining one or more first candidate delivery companies, based on location information on a store; determining a time for assigning a delivery order to the delivery company, based on the information on the predicted time for preparation and the information on the one or more first candidate delivery companies; and assigning the delivery order to the delivery company according to the determined time, based on the location information on the store and priority information associated with one or more second candidate delivery companies. Accordingly, assignment of delivery works can be flexibly performed in consideration of various elements.

Description

ELECTRONIC APPARATUS FOR PROCESSING DELIVERY ORDER AND METHOD THEREOF

The present disclosure relates to an electronic device and method for processing a delivery order. More specifically, the present disclosure obtains estimated preparation time information for an item to be shipped, determines a time to allocate a delivery order to a delivery person based on it, and determines location information of a store and a candidate delivery agent when assigning a delivery order To a method for determining a delivery source to request processing of a delivery order in consideration of priority information related to a delivery order, and to an electronic device using the same.

As the use of the Internet becomes common, the e-commerce market is expanding. In particular, with the spread of infectious diseases, interest in e-commerce/online purchases where non-face-to-face product purchases are possible is rapidly increasing. This trend has a positive effect on the food delivery market, and food delivery services based on customer terminals such as smartphones are becoming very active.

In the delivery food service, speed delivery to maintain freshness and warmth is particularly important compared to delivery of general items. Therefore, the delivery person arrives at the store in advance before completing the cooking of the food ordered at the store (e.g. a restaurant), or by arriving at the store as soon as possible after the cooking of the ordered food is completed, promptly delivers the ordered food to the customer. Needs to be.

However, if a delivery order is assigned to a delivery person without flexibly considering the cooking time and the location of the delivery agent, the delivery agent arrives at the store too early and the delivery agent waits for a long time in the store, resulting in reduced delivery efficiency and reduced delivery There may be a problem in that the customer wastes time, and conversely, if the delivery agent arrives at the store too late, the delivery may be delayed, the freshness of the food deteriorates, and customer complaints may accumulate.

This issue may be true for a variety of items that are kept expedited shipping in addition to food (e.g. flowers, parcels ordered for expedited shipping, etc.).

In this regard, reference may be made to prior documents such as KR101870190B1 or KR20050108168A.

The problem to be solved by this embodiment is to obtain a delivery order including store information and item information from a user, obtain information on an expected preparation time of an item corresponding to the item information, and store determine one or more first candidate delivery agents based on the location information, determine a time to assign a delivery order to the delivery agents based on the expected preparation time information and the information of the one or more first candidate delivery agents, and at the determined time To provide an electronic device and method for allocating a delivery order to a delivery agent based on location information of a store and priority information associated with one or more second candidate delivery sources.

The technical problems to be achieved by the present embodiment are not limited to the technical problems described above, and other technical problems may be inferred from the following embodiments.

According to an embodiment, a method of processing a delivery order in an electronic device that provides an item delivery service includes: acquiring a delivery order including store information and item information from a user; obtaining information about an expected preparation time 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 assign the delivery order to a delivery agent based on the expected preparation time information and information on the one or more first candidate delivery agents; and allocating the delivery order to a delivery source based on the determined time, wherein the allocating the delivery order to a delivery agent determines one or more second candidate delivery sources based on 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 from among the one or more second candidate delivery sources based on the priority information.

According to an embodiment, the determining of the one or more second candidate delivery sources may include: obtaining information on one or more delivery sources located within a predetermined radius based on the location information of the store; determining whether the one or more shipping sources can be assigned the shipping 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 an embodiment, the determining whether the delivery order can be assigned may include: determining whether the one or more delivery sources 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 to the one or more delivery sources; determining information on the transportation means used by the one or more delivery personnel; and determining whether the time to be allocated is included in a preset time interval.

According to an embodiment, the preset time section is set for each specific regional range, and the step of determining whether the preset time section is included in the preset time section includes a regional range to which the location of the one or more delivery sources belongs, the location of the store It may include determining whether or not included in the preset time period based on at least one of a regional range to which it belongs and a regional range to which a route for moving the one or more delivery sources to the store belongs.

According to an embodiment, the obtaining of the priority information includes path information for the one or more second candidate delivery sources to move to the store, and time information for the one or more second candidate delivery sources to move to the store. and obtaining first information including at least one of linear 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 an embodiment, the step of allocating the delivery order to the delivery agent further comprises transmitting a delivery order processing request including delivery order information to the delivery agent determined to request processing of the delivery order, wherein the delivery When receiving a rejection response to the request for processing the delivery order from the shipper determined to request processing of the order, remove the shipper determined to request processing of the delivery order from the list of the one or more second candidate carriers; Based on the priority information, another delivery source may be determined as a delivery source to request processing of the delivery order.

According to one embodiment, in addition to the delivery order, when there is one or more delivery orders to be assigned to a delivery agent based on the determined time, determining the delivery agent to request processing of the delivery order includes the one or more delivery orders. 2 determining a delivery source to which the one or more delivery orders are not previously assigned among the candidate delivery sources; and if there is a non-allocated delivery source, determining a delivery source having the highest priority among the non-allocated delivery sources as a delivery source to request processing of the delivery order.

According to one embodiment, the step of determining the delivery source to request the processing of the delivery order may further include delaying the time for allocating the delivery order to the delivery agent when the non-assigned delivery source does not exist. can

According to an 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 acquired.

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

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

According to an 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, The information input from the store may include information about an expected time for preparing the item determined by the store.

According to an embodiment, the determining of 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 with respect to the store as the one or more first candidate delivery sources. may include

According to an embodiment, when the preparation of the item is completed before the time to allocate the delivery order, the method may further include allocating the delivery order in response to the completion.

An electronic device for processing a delivery order according to an embodiment includes a transceiver, a memory for storing instructions, and a processor, wherein the processor is connected to the transceiver and the memory, and includes store information and item information from a user. obtaining an order, obtaining information about an expected preparation time of an item corresponding to the item information, determining one or more first candidate delivery sources based on the location information of the store, and determining the estimated preparation time information and the one or more second 1 Based on the information of the candidate delivery source, a time to allocate the delivery order to the delivery agent is determined, and the delivery order is allocated to the delivery agent based on the determined time, and the processor is configured to assign the delivery order to the delivery agent. 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, based on the priority information, determine the A delivery source from which one or more second candidate delivery sources are to request processing of 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 for processing a delivery order and a method therefor obtain information on expected preparation time for an item to be delivered and determine a time to allocate a delivery order to a delivery person based on the information on the ready completion time of the item It is possible to minimize the gap between the time when the delivery person arrives at the store to pick up the item. Through this, it is possible to perform fast and timely delivery while minimizing the waiting time of the delivery person.

In addition, according to the present disclosure, an electronic device for processing a delivery order and a method therefor, in allocating a delivery order to a delivery person, consider not only the location information of the store but also the priority set for the delivery agents, the processing of the delivery order By determining the delivery source to request, flexible delivery assignments can be made that take various factors into account.

Effects of the invention are 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 illustrating a delivery order processing system according to an embodiment.
2 is an operation flowchart of a delivery order processing method of an electronic device in a delivery order processing system according to an exemplary embodiment.
3 is a diagram for explaining an operation of determining a first candidate delivery source according to an exemplary embodiment.
4 is a diagram for explaining an operation of determining a second candidate delivery source according to an embodiment.
5 is a diagram for explaining an operation of determining whether a time to allocate a delivery person is included in a preset time interval according to an embodiment;
6 is a view for explaining an operation of processing a plurality of delivery orders at a specific time according to an exemplary embodiment.
7 is an operation flowchart of an information processing method of an electronic device according to an exemplary embodiment.
8 is a diagram illustrating a configuration of an electronic device for processing a delivery order according to an exemplary embodiment.

Terms used in the embodiments are selected as currently widely used general terms as possible while considering functions in the present disclosure, but may vary according to intentions or precedents of those of ordinary skill in the art, emergence of new technologies, and the like. In addition, in a specific case, there is a term arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the corresponding description. Therefore, the terms used in the present disclosure should be defined based on the meaning of the term and the contents of the present disclosure, rather than the simple name of the term.

In the entire specification, when a part “includes” a certain element, it means that other elements may be further included, rather than excluding other elements, unless otherwise stated. In addition, terms such as “…unit” and “…module” described in the specification mean a unit that processes at least one function or operation, which is implemented as hardware or software, or a combination of hardware and software. can be

The expression “at least one of a, b, and c” described throughout the specification is, 'a alone', 'b alone', 'c alone', 'a and b', 'a and c', 'b and c ', or 'all of a, b, and c'.

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

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art to which the present disclosure pertains can easily implement them. However, the present disclosure may be implemented in several 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 accompanying drawings.

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

For the same reason, some components are exaggerated, omitted, or schematically illustrated in the accompanying drawings. In addition, the size of each component does not fully reflect the actual size. In each figure, the same or corresponding elements are assigned the same reference numerals.

Advantages and features of the present invention, and a method for achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only these embodiments allow the disclosure of the present invention to be complete, and common knowledge in the technical field to which the present invention belongs It is provided to fully inform the possessor of 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.

At this time, it will be understood that each block of the flowchart diagrams and combinations of the flowchart diagrams may be performed by computer program instructions. These computer program instructions may be embodied in a processor of a general purpose computer, special purpose computer, or other programmable data processing equipment, such that the instructions performed by the processor of the computer or other programmable data processing equipment are not described in the flowchart block(s). It creates a means to perform functions. These computer program instructions may also be stored in a computer-usable or computer-readable memory that may direct a computer or other programmable data processing equipment to implement a function in a particular manner, and thus the computer-usable or computer-readable memory. It is also possible that the instructions stored in the flow chart block(s) produce an article of manufacture containing instruction means for performing the function described in the flowchart block(s). The computer program instructions may also be mounted on a computer or other programmable data processing equipment, such that a series of operational steps are performed on the computer or other programmable data processing equipment to create a computer-executed process to create a computer or other programmable data processing equipment. It is also possible that instructions for performing the processing equipment provide steps for performing the functions described in the flowchart 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). It should also be noted that in some alternative implementations it is also possible for the functions recited in blocks to occur out of order. For example, two blocks shown one after another may be performed substantially simultaneously, or the blocks may sometimes be performed in the reverse order according to a corresponding function.

1 is a schematic configuration diagram illustrating 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 source device 130 , and may further include a store device 140 according to embodiments. have. According to an embodiment, the delivery order processing system 100 further includes a network network that supports transmission and reception of information between at least some of the electronic device 110 , the user device 120 , the delivery source device 130 , and the store device 140 . may include

Each of the electronic device 110 , the user device 120 , the delivery service device 130 , and the store device 140 may include a transceiver, a memory, and a processor. In addition, each of the electronic device 110 , the user device 120 , the delivery source device 130 , and the store device 140 means a unit that processes at least one function or operation, which is hardware, software, or hardware. and a combination of software. Meanwhile, throughout the embodiments, the electronic device 110 , the user device 120 , the delivery source device 130 , and the store device 140 are each referred to as separate devices or servers, but they may have a logically divided structure. At least some of them may be implemented by functions separated from one device or server.

According to an embodiment, the electronic device 110 , the user device 120 , the delivery service 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 , the user device 120 , the delivery person device 130 , and the store device 140 may communicate 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 to receive a request for performing a task, perform a task thereon and provide a result of the task. 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 built with a series of application programs that can operate on the network server, and other nodes connected internally or connected It can be understood as a concept in a broad sense including various types of databases. For example, at least some of the electronic device 110 , the user device 120 , the delivery person device 130 , and the store device 140 are DOS, Windows, Linux, UNIX, Alternatively, it may be implemented using a network server program that is provided variously according to an operating system such as MacOS.

The electronic device 110 is a device that configures and provides various types of information. The electronic device 110 may provide the configured information as a web page or an application screen. The electronic device 110 is a device serving to provide various information including information related to delivery, such as information related to a delivery order, information related to a delivery destination, a location of a delivery source, and information related to a delivery origin from a user, a delivery person, and a seller. can be In relation to this, the electronic device 110 may provide at least one of the user device 120, the delivery agent device 130, and the store device 140 with delivery information for receiving an input from a user, a delivery agent, and a seller. have.

The electronic device 110 obtains a delivery order including store information and item information from the user. The delivery order may be obtained through the 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 an embodiment, the delivery request may be commonly applied to not only a food delivery request, but also a service in which the electronic device 110 assigns a delivery agent to deliver an item from another entity according to a user's request through a 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, the delivery order obtained from the user may include an order for items requiring rapid delivery, such as flowers, feed, and other living things, in addition to food. According to an 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 from the user may be obtained, but The present invention is not limited thereto. However, in the following, an embodiment in which a request for delivery of food is obtained from a user for convenience of description will be described below, but throughout the specification, the description related to "food" may be broadly understood as a description of various items to be delivered. have.

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 of the item by calculating the time required to complete the preparation of the item using a specific calculation model. According to an embodiment, the electronic device 110 may trust the expected item preparation time obtained from the store device 140 as it is.

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

The electronic device 110 determines a time to assign a delivery order to a delivery agent based on the obtained expected preparation time information and information of one or more first candidate delivery agents. According to an embodiment, the electronic device 110 allocates the delivery order based on the expected time of completion of the preparation of the item according to the expected preparation time of the item and the estimated movement time when one or more first candidate delivery sources move 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 to determine a delivery source to request processing of the delivery order from among the one or more second candidate delivery sources. In relation to this, a device used by a delivery person who is assigned a delivery order may correspond to the delivery source device 130 , and the electronic device 110 may assign a delivery order to the delivery source device 130 .

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

A user may correspond to a customer who is a subject who orders delivery of food. The user device 120 may be a device operated and managed by a user. The user device 120 may receive a user input from a user or the like or may receive information from the electronic device 110 or the like and perform an operation corresponding thereto. For example, the user device 120 may obtain an order from the user and transmit a delivery order corresponding thereto 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.

The delivery person may include various entities that take over the food from the seller and deliver the food from the seller to the user. Delivery sources include various operators that provide delivery services in a specific geographic area, and operators may include businesses and individuals. In addition, the delivery source may include a business operator that delivers regardless of the region. In addition, the delivery source may include various entities that provide delivery services in the range of a specific delivery means, and the specific delivery means may include walking, two-wheeled vehicles, bicycles, automobiles, and the like. In addition, according to embodiments, the specific delivery means may include various types of delivery means, such as drones and railroads. The electronic device 110 comprehensively considers the traffic conditions or other topographical conditions (eg, rivers, seas, mountains, unpaved areas, etc. that prevent smooth movement) between the location of the seller and the customer and the moving route, and determines the delivery source. It can be assigned to the delivery of food.

The delivery agent device 130 may be a device operated and managed by a delivery person assigned with a delivery order. The delivery agent device 130 may receive a user input from the delivery agent or the like or receive information from the electronic device 110 and the like, and may perform an operation corresponding thereto. For example, the delivery agent device 130 may receive the 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 a subject that sells 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 or the like or may receive information from the electronic device 110 and the like, and may perform an operation corresponding thereto. For example, the store device 140 may receive delivery order information or delivery source information to be delivered from the electronic device 110 and provide a user interface including the delivery order information to the seller. Alternatively, the store device 140 may receive an 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 in the form of installing an application on a smartphone, or may be implemented as a form of installing an application on a POS device.

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

The user device 120 , the delivery source device 130 , and the store device 140 may include a computer device, a mobile communication terminal, a server, and the like. The user device 120 , the delivery service device 130 , and the store device 140 may include an input device such as a touch pad, a mouse, or a keyboard for receiving a user input, or may be connected to the input device. In addition, the user device 120 , the delivery source device 130 , and the store device 140 may include an output device such as a screen, a speaker, and an interface device for providing information to the user, or may be connected to the output device. Furthermore, the input device and output device of the user device 120 , the delivery agent device 130 or the store device 140 may be integrally configured or interrelated, for example, the user device 120 or the delivery agent device 130 . may display an interface for receiving a user input.

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 in a manner in which a plurality of physical devices are organically coupled. For example, some of the components included in the delivery order processing system 100 may be implemented by one physical device, and the remaining part may be implemented by another physical device. For example, any one physical device may be implemented as a part of the electronic device 110 , and another physical device may be implemented as a part of the user device 120 or other external devices. In some cases, each of the components included in the delivery order processing system 100 is dispersedly disposed on different physical devices, and the distributed components are organically combined, so that the delivery order processing system 100 functions And it may be implemented to perform an operation. For example, the electronic device 110 of the present specification includes at least one sub device, some operations described as being performed by the electronic device 110 are performed by the first sub device, and some operations are performed by the second sub device. It may also be performed by the device.

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

Referring to FIG. 2 , the electronic device 110 according to an embodiment obtains a delivery order including store information and item information from the user device 120 ( 201 ). As described above, although an embodiment is described in which the item to be delivered is food, the description related to “food” throughout the specification may be broadly understood as a description of various items to be delivered. The electronic device 110 may request to prepare store food corresponding to the delivery order obtained from the user device 120 . Also, the electronic device 110 may request the seller of the store 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 ( S202 ). As described above, the electronic device 110 may obtain information on the expected preparation time of the item by calculating the time required to complete the preparation of the item based on a specific calculation model. According to an embodiment, the electronic device 110 may calculate a time required to complete the preparation of the item based on a calculation model based on a machine learning algorithm. In this case, the computational model may be in a pre-trained state.

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 information on the estimated time for preparation of the item determined by the store (eg, determined by the seller or determined by the store device 140 ). In this regard, the order history information corresponding to the store includes a past order history of the item, and the pending order information corresponding to the store includes at least one of a quantity of a delivery order pending in the store and a quantity of a specific item ordered in the store. may include

When the computational model operates based on a machine learning algorithm, the computational model operates at the same time in relation to each of a plurality of orders including 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 in the . In relation to this, the past store related to the learning of the computational model may be a store corresponding to the store device 140 . Alternatively, the 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 location information of the store ( 203 ). According to an embodiment, the electronic device 110 may determine at least some of the one or more delivery sources located within a predetermined radius with respect to the store as the first candidate delivery sources. In other words, when the electronic device 110 determines the first candidate delivery source, it may not separately determine movement means information of the delivery source, movement route information to the store, movement time information to the store, and the like.

Since the electronic device 110 determines at least some of the one or more delivery sources located within a certain radius with respect to the store as the first candidate delivery sources, the first candidate delivery sources can be determined without using separate navigation information, It is possible to save resources, cost and time for externally acquiring navigation information.

For each order, the electronic device 110 may determine as many first candidate delivery sources as a preset number. For example, the electronic device 110 may determine 10 first candidate delivery sources. When there are less than 10 delivery workers located within a certain radius, the electronic device 110 determines delivery agents located within a certain radius as the first candidate delivery sources, or 10 delivery workers are located within the radius. It is possible to increase the length of the radius, which is the criterion for judgment, until

According to an embodiment, the electronic device 110 may determine the first candidate delivery source by using navigation information. For example, the electronic device 110 may determine, as the first candidate delivery source, at least some of the one or more delivery sources having a moving path to the store within a predetermined distance in consideration of the transportation means used by the delivery person. Alternatively, the electronic device 110 may determine, as the first candidate delivery source, at least some of the one or more delivery sources that can move to the store within a predetermined time by further considering various factors such as traffic on the moving path. In this case, since more various factors can be considered in determining the first candidate delivery source, there is an advantage in that a time for allocating a delivery order to a delivery source can be more precisely determined.

However, for convenience of explanation, embodiments in which at least some of the one or more delivery sources located within a certain radius with respect to the store are determined as the first candidate delivery sources will be described below.

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

The electronic device 110 determines a time to assign a delivery order to a delivery agent based on the obtained expected preparation time information and information of one or more first candidate delivery agents ( 204 ). As described above, the electronic device 110 according to an exemplary embodiment places an order for delivery based on the expected time of completion of the preparation of the item according to the expected preparation time of the item and the estimated movement time when one or more first candidate delivery sources move to the store. You can decide the time to allocate. In detail, the electronic device 110 may determine a time to allocate a delivery order based on a result of inverse calculation of the movement time of the first candidate delivery source from the time when the item is ready to be prepared. In relation to this, the moving time of the first candidate delivery source may correspond to a value obtained by arithmetic average of travel times expected when moving to the store for each of the plurality of first candidate delivery sources. However, the travel time of the first candidate delivery source is not necessarily limited thereto, and the travel time of the first candidate delivery source that can arrive at the store the earliest among the first candidate delivery sources is determined as the movement time of the first candidate delivery source, etc. A travel time of the first candidate delivery source may be determined based on various methods.

On the other hand, if the expected preparation time of the item is shorter than the expected movement time when the first candidate delivery agent moves to the store (in other words, the result of inversely calculating the movement time of the first candidate delivery agent from the item's ready completion time is the current time before), the electronic device 110 may immediately assign the delivery order. In addition, even if the expected preparation time of the item is longer than the expected movement time when the first candidate delivery person moves to the store, if the item is prepared before the time to allocate the delivery order, the electronic device 110 performs the delivery delivery orders can be assigned immediately in response.

As an example, when the acquisition time of the delivery order is 18:30, the expected preparation time of the item is 20 minutes, and the expected travel time when one or more first candidate delivery agents move to the store is 7 minutes, the electronic device 110 ) by adding up the expected preparation time of the item from the acquisition time of the delivery order to determine the item's ready completion time as 18:50, and then by inverting the estimated travel time when one or more first candidate delivery agents move to the store " 18:43" can be obtained as a result.

According to an embodiment, the electronic device 110 may determine a time to allocate a delivery order at a time corresponding to a result of inversely calculating the movement time of the first candidate delivery source from the time when the preparation of the item is completed. According to an embodiment, the electronic device 110 may allocate a delivery order at a time when a result of inverse calculation of the movement time of the first candidate delivery source from the time when the item is ready to be prepared is corrected. In this case, the electronic device 110 may perform the correction based on the pros and cons when the delivery person arrives at the store earlier than the food preparation completion time and the pros and cons when the delivery person arrives at the store later than the food preparation completion time. For example, when it is more important that the delivery person waits in the store and work efficiency is reduced, but it is more important not to cause a disruption in the rapid delivery of food, the electronic device 110 calculates the movement time of the first candidate delivery agent from the time when the item is ready. It is possible to assign a shipping order earlier than the back-counted result. For example, when the expected moving time of one or more first candidate delivery agents moving to the store is 7 minutes, and the electronic device 110 determines that the ready-to-prepare time of the item is 18:50, the electronic device 110 may When the first candidate delivery person moves to the store, the corrected 18:40 can be determined as the assigned time by further calculating a predetermined time (in this case, 3 minutes) from 18:43, which is a result of inverse calculation of the expected travel time.

The electronic device 110 allocates a delivery order to a delivery person based on the determined allocation time ( 205 ). In this case, it is not necessary that the delivery person to be assigned is included in the first candidate delivery agent. More specifically, 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 prioritizes Based on the ranking information, it is determined from among the one or more second candidate delivery sources to request processing of the delivery order.

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

According to an embodiment, the electronic device 110 may determine whether a delivery source is in a delivery available state, and may prevent a delivery person not in the delivery available state from being included in the one or more second candidate delivery sources. In this regard, whether the delivery person is available may be determined by taking into account at least one of whether the delivery person is at work if the delivery person is employed by the service provider and whether the delivery person has expressed an intention to be assigned a delivery task if the delivery person is a freelancer. . In addition, whether the delivery agent is in the delivery available state may be determined in consideration of at least one of whether the task being performed by the delivery person includes a delivery task and whether there is a task scheduled to be performed by the delivery agent at the time of assigning the delivery agent.

According to an embodiment, the electronic device 110 determines whether a movement path from the location of one or more delivery sources to the store satisfies a preset condition, and when the preset condition is satisfied, the corresponding delivery agent selects one or more delivery sources. It may be excluded from being included in the second candidate delivery source. The preset condition may include a case in which there is an obstacle condition that makes it difficult to move on the moving path, such as having to move across a river or over a mountain. In addition, the preset condition may include whether the movement path exceeds a preset time.

According to an embodiment, the electronic device 110 may determine whether processing of a corresponding delivery order has been requested from one or more delivery sources. In the case of a delivery person who has been requested to process the corresponding delivery order, the electronic device 110 determines that the delivery agent has rejected the allocation or there is a reason why the delivery agent cannot be assigned the delivery order, may not be assigned.

According to an embodiment, the electronic device 110 may determine information on the transportation means used by one or more delivery sources, and determine one or more second candidate delivery sources based thereon. For example, the electronic device 110 may determine a radius for allocating a delivery order for each transportation means in consideration of the moving speed of a transportation means used by one or more delivery personnel, and assign a delivery order to delivery agents within the radius. can determine whether 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 radius of 1 km from the store, and in relation to a delivery person who moves by bicycle It is determined whether a delivery order can be allocated to a delivery person located within a radius of 1.8 km from the store, and in relation to a delivery person who moves by car, whether a delivery order can be allocated to a delivery person located within a radius of 4 km from the store can be judged In addition, the electronic device 110 determines whether a delivery order can be assigned to a delivery source within a fixed radius, but determines that the allocation probability is lower for a delivery person using a slower moving means, such as movement used by one or more delivery agents Various embodiments may exist for determining one or more second candidate shipping sources based on the means information.

According to an embodiment, the electronic device 110 may determine whether a time to allocate a delivery source is included in a preset time interval, and determine one or more second candidate delivery sources based thereon. The preset time period may include, for example, a rush hour period such as a commuting time period in which traffic is concentrated.

More details related to the preset time period will be described later with reference to FIG. 5 .

In conclusion, in order to determine whether the electronic device 110 according to an embodiment can be assigned a delivery order, whether one or more delivery sources are in a delivery available state, the location of the one or more delivery sources is moved to a store Whether the route satisfies a preset condition, whether or not one or more delivery agents have ever been requested to process a delivery order, the result of determining the information on the transportation means used by one or more delivery agents, and whether the time to be assigned is included in the preset time interval Various factors including at least one of whether or not can be considered. The electronic device 110 may determine one or more second candidate delivery sources based on a result of determining whether delivery orders can be assigned.

For each order, the electronic device 110 may determine as many second candidate delivery sources as a preset number. For example, the electronic device 110 may determine five second candidate delivery sources. When the number of second candidate delivery sources determined according to the determination criterion is less than 10, according to an embodiment, the electronic device 110 may relax the determination criterion until there are 10 second candidate delivery sources.

An example related to determining the second candidate delivery source will be described later with reference to 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.

The priority information according to an embodiment may include a value assigned to each of one or more second candidate delivery sources. In this case, the priority information may include a value assigned or calculated for each delivery source, rather than a value generated as a result of relatively comparing one or more second candidate delivery sources. Alternatively, the priority information according to an 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 the delivery order based on the obtained priority information. In this case, the electronic device 110 may transmit a request for processing the delivery order to the delivery person. In relation to this, the request for processing a delivery order transmitted by the electronic device 110 may include delivery order information.

According to an embodiment, the electronic device 110 provides route information for one or more second candidate delivery sources to move to the store, time information for one or more second candidate delivery sources to move to the store, and delivery of one or more second candidate delivery sources. First information including at least one of the linear distance information between the circle and the store may be obtained, and priority information related to 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 source is set to have a higher priority as the length of the route for the delivery source to move to the store is shorter, or is higher as the time for moving to the store is shorter. It may be set to have a priority, or it may be set to have a higher priority as the straight-line distance between the delivery source and the store is shorter.

According to an embodiment, the delivery person may determine whether to accept or reject the assigned task by itself. In this case, when the electronic device 110 receives a rejection response to the delivery order processing request from the delivery agent determined to request processing of the delivery order, the electronic device 110 sends the delivery agent 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 a delivery source to request processing of the delivery order based on the priority information.

In relation to this, the electronic device 110 according to an embodiment may inquire about the reason for rejection of the delivery agent upon receiving the delivery agent's rejection response, and a user interface including the inquiry may be displayed on the delivery agent device 140 . have. According to an embodiment, the user interface including the inquiry may further include an interface for withdrawing a rejection response of the delivery person. By inquiring the reason for rejection to the delivery person in this way, information on the reason for rejection of the delivery agent can be used to improve the delivery system, and the delivery person can be induced to change their intention to accept the delivery order.

According to an embodiment, in addition to the delivery order corresponding to the drawing number 201, if there is one or more delivery orders to be assigned to the delivery person based on the determined allocation time, the processing order of the delivery order corresponding to the drawing number 201 is reached When the electronic device 110 determines a delivery source to which one or more delivery orders are not previously assigned among the one or more second candidate delivery sources, and if there is an unallocated delivery source, the highest A delivery order corresponding to the drawing number 201 may be assigned by determining a delivery source having priority as a delivery source requesting processing of the delivery order.

A more detailed description related to a case in which a plurality of delivery orders to be allocated to a delivery person exist based on the determined allocation time will be described later with reference to FIG. 6 .

3 is a diagram for explaining an operation of determining a first candidate delivery source according to an exemplary embodiment.

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

Reference numerals 302 to 308 may indicate delivery sources located within a predetermined radius with respect to the store 301 , respectively. The type of each icon may indicate a means of transportation used by the delivery person. However, since the first candidate delivery agents are candidates for determining the allocation time of delivery orders, not candidates actually determined to receive delivery orders, it is necessary to select optimal delivery sources for delivery as candidates. may be lower than Therefore, unlike the second candidate delivery source, the first candidate delivery source only determines the first candidate delivery source based on whether it is located within a certain radius with respect to the store 301 , and the transportation means used by the delivery person or a certain time period It may not consider whether it is possible to move to the store within. 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 in consideration of the radius based on the store 301 without using separate navigation information, it is possible to save resources, cost, and time for externally acquiring navigation information. .

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

Referring to FIG. 4 , the electronic device 110 according to an embodiment determines whether one or more delivery sources are in a delivery available state, whether a movement path from the location of one or more delivery sources to a store satisfies a preset condition; Various factors including at least one of whether the processing of a delivery order has been requested from one or more delivery personnel, a result of determining the information on the transportation means used by the one or more delivery agents, and whether the time to be allocated is included in a preset time interval It is determined whether the delivery order can be allocated by taking this into account, and based on the determination result, one or more second candidate delivery sources may be determined ( 400 ).

For example, reference numerals 302 to 308 correspond to delivery sources located within a predetermined radius based on the store 301 , and at least some of them may not be included in the second candidate delivery sources. Specifically, in the case of a delivery source corresponding to reference numeral 305, it is included in the second candidate delivery source because it is determined that it cannot move to the store within a certain period of time considering the distance from the store 301 as the transportation means is a walking delivery source. it may not be In addition, in the case of a delivery person corresponding to 306 and a delivery person corresponding to 307, since they are located across the river with respect to the store 301, they must move across the river in order to move to the store, so the second candidate Shipping may not be included. In addition, a delivery person corresponding to reference numeral 308 may not be included in the second candidate delivery agent because delivery is being performed and therefore is not in a delivery available state.

FIG. 5 is a diagram for explaining an operation of determining whether a time to allocate a delivery person is included in a preset time interval according to an exemplary embodiment;

Referring to FIG. 5 , the electronic device 110 according to an embodiment may determine whether a time to allocate a delivery source is included in a preset time interval, and determine one or more second candidate delivery sources based thereon. . The preset time period may include, for example, a rush hour period such as a commuting time period in which traffic is concentrated.

According to an embodiment, the preset time period may be set for each specific regional range ( 500 ). For example, reference numeral 510 corresponds to the result of classifying the traffic congestion level for each predetermined regional range based on 6:00 pm, and reference numeral 520 shows the traffic congestion level for each predetermined regional range based on 8 pm. It can correspond to one result. In this regard, "smooth" means that the traffic congestion level is below the first threshold, "slow" means that the traffic congestion is higher than the first threshold and less than the second threshold, and "congested" means that the traffic congestion level is below the second threshold. It may mean that the threshold is exceeded.

When the preset time section is set for each specific regional range, for the same time, a region corresponding to the preset time section and an area not corresponding to the preset time section may exist. For example, if the preset time section means a rush hour section where traffic is concentrated, areas marked as “congested” based on 6 pm correspond to the preset time section at 6 pm, but “smooth” based on 6 pm Regions marked with 6:00 pm may not correspond to a preset time interval.

The electronic device 110 configures a time interval preset based on at least one of a regional range to which the location of one or more delivery sources belongs, a regional range to which the location of the store belongs, and a regional range to which a route for moving one or more delivery sources to the store belongs. It can be determined whether or not That is, the electronic device 110 determines whether the time to allocate a delivery order is included in a preset time period for each one or more delivery sources by generally considering the congestion level of a route for moving one or more delivery sources to the store. can do. For example, based on the time at which the delivery order is assigned, the first shipping agent including only the area where the route to the store is marked as “smooth” and the area where the route to the store is marked as “slow” partially If there is a second shipper that includes a third shipper and a third shipper that includes an area where most of the routes to the store are marked as "congested", delivery orders may be assigned to the first shipper and the second shipper. While the time is not included in the preset time period, the time to allocate the delivery order to the third delivery person may be included in the preset time period. In this case, the electronic device 110 may not include the third delivery source as the second candidate delivery source.

6 is a view for explaining an operation of processing a plurality of delivery orders at a specific time according to an exemplary embodiment.

Referring to FIG. 6 , a case in which a plurality of delivery orders to be allocated to a delivery person exist based on the determined allocation time according to an embodiment is illustrated (that is, based on the determined allocation time in addition to the delivery order corresponding to the reference number 201 ) (600). In this case, when the processing order of the delivery order corresponding to the reference number 201 is reached, the electronic device 110 determines a delivery source to which one or more delivery orders from among the one or more second candidate delivery sources are not pre-assigned, If there is a delivery source, a delivery order corresponding to the drawing number 201 may be assigned by determining a delivery source having the highest priority among delivery sources that are not previously assigned as a delivery source to request processing of the delivery order.

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

According to an 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 acquired. In this case, if the number of the delivery order is sequentially numbered based on the acquisition time from the user, a plurality of delivery orders to be processed at a specific time may be processed in descending order of the number. That is, in the example of reference numeral 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 reference number 600, the electronic device 110 determines a delivery source to which one or more delivery orders are not previously assigned among one or more second candidate delivery sources corresponding to each delivery order when the processing order of each delivery order is reached, , when there is an unassigned delivery source, a delivery order may be assigned to a delivery source having the highest priority among delivery sources not previously assigned. For example, in the example of drawing number 600, one or more second candidate delivery agents for delivery order #111 are indicated at reference numeral 610 in order of priority, and among them, if there is no delivery person assigned a delivery order, the highest priority is given. Eggplant can choose carrier #11. In addition, one or more second candidate delivery agents for delivery order #113 are indicated at reference numeral 620 in order of priority, and delivery agent #11 having the highest priority among them is assigned a delivery order, so the next You can choose shipper #6, which has a high priority. In addition, one or more second candidate delivery agents for delivery order #114 are indicated by reference numeral 630 in order of priority, among them delivery agent #6 having the highest priority and delivery agent having the next highest priority. Since #11 has been previously assigned a delivery order, delivery agent #3 having the next highest priority may be selected. In addition, one or more second candidate delivery agents for delivery order #117 are indicated at reference numeral 640 in order of priority, and delivery agent #11 having the highest priority among them is assigned a delivery order, so the next You can choose shipper #8, which has a high priority.

In this way, the electronic device 110 may assign each delivery order to a delivery source by selecting a delivery source having the highest priority among delivery sources to which a delivery order is not previously assigned. Meanwhile, in relation to a specific delivery order, if there is no delivery source to which a delivery order has not been previously assigned among one or more second candidate delivery sources for the delivery order, the electronic device 110 sends the delivery order to the delivery agent. The allocation time can be delayed. According to an embodiment, the electronic device 110 performs a delivery to which a delivery order is not pre-assigned from among the second candidate delivery sources (in this case, the pre-allocated delivery order has been completed or the pre-allocated delivery order has been released). You can delay the time to assign a delivery order to a shipper until the circle is available.

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

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

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

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

The electronic device 110 determines a time at which to allocate the delivery order to the delivery agent based on the expected preparation time information and the information on the one or more first candidate delivery agents ( S740 ). According to an embodiment, the electronic device 110 allocates the delivery order based on the expected time of completion of the preparation of the item according to the expected preparation time of the item and the estimated movement time when one or more first candidate delivery sources move to the store. You can decide when to do it.

The electronic device 110 allocates a delivery order to a delivery person based on the determined time ( S750 ). 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 to determine a delivery source to request processing of the delivery order from among the one or more second candidate delivery sources. In relation to this, the electronic device 110 may allocate a delivery order to the delivery source device 130, which is a device used by the delivery person assigned the delivery order.

8 is a diagram illustrating a configuration of an electronic device for processing a delivery order according to an exemplary embodiment.

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

The processor 820 may include at least one of the devices described above with reference to FIGS. 1 to 7 , or 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 . The memory 830 may be a volatile memory or a non-volatile memory.

The processor 820 may control the electronic device 110 for executing a program and providing information. The code of the program executed by the processor 820 may be stored in the memory 830 .

In addition, the electronic device 110 according to an embodiment may further include an interface capable of providing information to a user.

On the other hand, in the present specification and drawings, preferred embodiments of the present invention have been disclosed, and although specific terms are used, these are only used in a general sense to easily explain the technical content of the present invention and to help the 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 apparent to those of ordinary skill in the art that other modifications based on the technical spirit of the present invention can be implemented.

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

This embodiment may be represented by functional block configurations and various processing steps. These functional blocks may be implemented in any number of hardware and/or software configurations that perform specific functions. For example, an embodiment may be an integrated circuit configuration, such as memory, processing, logic, look-up table, etc., capable of executing various functions by the control of one or more microprocessors or other control devices. can be hired Similar to how components may be implemented as software programming or software components, this embodiment includes various algorithms implemented in a combination of data structures, processes, routines or other programming constructs, including C, C++, Java ( Java), assembler, Python, etc. may be implemented in a programming or scripting language. Functional aspects may be implemented in an algorithm running on one or more processors. In addition, the present embodiment may employ the prior art for electronic environment setting, signal processing, and/or data processing. Terms such as “mechanism”, “element”, “means” and “configuration” may be used broadly and are not limited to mechanical and physical configurations. The term may include the meaning of a series of routines of software in connection with a processor or the like.

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

Claims (16)

A method of processing a delivery order in an electronic device providing an item delivery service, the method comprising:
obtaining a delivery order including store information and item information from a user;
obtaining information about an expected preparation time 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 assign the delivery order to a delivery agent based on the expected preparation time information and information on the one or more first candidate delivery agents; and
Comprising the step of allocating the delivery order to a delivery person when the determined time comes,
The step of allocating the delivery order to a delivery person is
determining one or more second candidate delivery sources based on the location information of the store;
obtaining priority information associated with the one or more second candidate delivery sources; and
and determining, from among the one or more second candidate delivery sources, a delivery source to request processing of the delivery order based on the priority information.
According to claim 1,
The step of determining the one or more second candidate delivery sources
obtaining information on one or more delivery sources located within a predetermined radius based on the location information of the store;
determining whether the one or more shipping sources can be assigned the shipping order; and
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.
3. The method of claim 2,
The step of determining whether the delivery order can be assigned
determining whether the one or more delivery sources are in a delivery possible 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 to the one or more delivery sources;
determining information on the transportation means used by the one or more delivery personnel; and
and at least one of determining whether the time to be allocated is included in a preset time interval.
4. The method of claim 3,
The preset time period is set by a certain regional range,
The step of determining whether to be included in the preset time interval is
In the preset time interval based on at least one of a regional range to which the location of the one or more delivery sources belongs, a regional range to which the location of the store belongs, and a regional range to which a route for moving the one or more delivery sources to the store belongs. A shipping order processing method comprising the step of determining whether it is included.
According to claim 1,
The step of obtaining the priority information is
Path information for the one or more second candidate delivery sources to move to the store, time information for the one or more second candidate delivery sources to move to the store, and a straight-line distance between the one or more second candidate delivery sources and the store obtaining first information including at least one of information; and
and generating the priority information based on the first information.
According to claim 1,
The step of allocating the delivery order to a delivery person is
Further comprising the step of 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 request for processing the delivery order from the shipper determined to request processing of the delivery order, exclude the shipper determined to request processing of the delivery order from the list of the one or more second candidate shippers and determining, based on the priority information, another delivery source as a delivery source to request processing of the delivery order.
According to claim 1,
In addition to the delivery order, if there is one or more delivery orders to be assigned to the delivery person at the determined time,
The step of determining a delivery source to request processing of the delivery order is
determining a delivery source to which the one or more delivery orders are not previously assigned among the one or more second candidate delivery sources; and
and determining, when the unassigned delivery source exists, a delivery source having the highest priority among the unassigned delivery sources as a delivery source to request processing of the delivery order.
8. The method of claim 7,
The step of determining a delivery source to request processing of the delivery order is
Delivery order processing method, characterized in that it further comprises the step of delaying the time for allocating the delivery order to the delivery source when the non-assigned delivery source does not exist.
8. The method of claim 7,
and a processing order of the plurality of delivery orders is determined based on an order in which the delivery order and the plurality of delivery orders including the one or more delivery orders are obtained.
According to claim 1,
The step of determining the time to be assigned to the delivery source
determining a time to allocate the delivery order based on the expected ready time of the item according to the expected ready time of the item and the estimated travel time when the one or more first candidate delivery agents move to the store; A shipping order processing method comprising:
According to claim 1,
The step of obtaining the expected preparation time information
and calculating a time required to complete the preparation of the item based on a pre-learned calculation model.
12. The method of claim 11,
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,
The information input from the store is a delivery order processing method, characterized in that it includes information on the estimated time for the preparation of the item determined by the store.
According to claim 1,
The step of determining the one or more first candidate delivery sources
and determining at least some of the one or more delivery sources located within a predetermined radius with respect to the store as the one or more first candidate delivery sources.
According to claim 1,
If the preparation of the item is completed before the time to allocate the delivery order, the delivery order processing method further comprising the step of allocating the delivery order in response to the completion.
A computer-readable non-transitory recording medium in which a program for executing the method of claim 1 in a computer is recorded.
An electronic device for processing a delivery order, comprising:
a transceiver, a 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 a user, obtaining information on an expected preparation time of an item corresponding to the item information, determining one or more first candidate delivery sources based on location information of the store, and , based on the expected preparation time information and the information of the one or more first candidate delivery agents, determine a time to assign the delivery order to a delivery agent, and when the determined time arrives, assign the delivery order to a delivery agent,
The processor is configured to determine one or more second candidate delivery sources based on the location information of the store, and obtain priority information associated with the one or more second candidate delivery sources, in order to assign the delivery order to the delivery sources. and, based on the priority information, determine a delivery source to request processing of the delivery order from among the one or more second candidate delivery sources.

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