WO2024005247A1

WO2024005247A1 - Device for processing delivery information and method thereof

Info

Publication number: WO2024005247A1
Application number: PCT/KR2022/009584
Authority: WO
Inventors: 루푸얀; 이길호; 푸주유
Original assignee: 쿠팡 주식회사
Priority date: 2022-06-30
Filing date: 2022-07-04
Publication date: 2024-01-04
Also published as: KR20240003240A

Abstract

Disclosed, according to the present disclosure, is a method for processing delivery information in an electronic device, the method comprising the steps of: acquiring order information, of a user, for a first item; acquiring first time information which is a prediction of the time required until the first item reaches a deliverable state after the first item has been ordered by the user; acquiring second time information which is a prediction of the time required until a delivery person picks up the first item after the first item has been ordered by the user; acquiring third time information which is a prediction of the time required until the delivery person completes the delivery of the first item after picking up the first item; and checking an expected delivery completion time of the first item on the basis of the first time information, the second time information, and the third time information.

Description

Devices and methods for processing shipping information

This disclosure relates to an apparatus and method for processing delivery information. More specifically, the present disclosure predicts the time it takes for an item to be ready for delivery, the time it takes for the item to be picked up by a delivery person after ordering the item, and the time it takes for the delivery person to complete delivery after the item is picked up, and The present invention relates to a method of confirming the delivery completion time of an item based on a method and an electronic device using the same.

With the development of electronic technology, e-commerce has become a field of shopping. Customers can purchase items online without having to go to a shopping mall or market in person, and items purchased online are delivered to the delivery address requested by the customer.

As the use of the Internet becomes more widespread, the e-commerce market is gradually expanding. In particular, as the demand for non-face-to-face services surges due to the spread of infectious diseases, delivery is commonly made even for items (food, etc.) that do not have a long distribution or consumption period. There is a trend.

Since quick and timely delivery is especially important for items such as food, it is not desirable for the delivery person to arrive at the store too late compared to the time the item is prepared, and also the time when the item finally arrives to the customer. There is a need to inform the public as accurately as possible.

However, because the time required to prepare the item, assign a delivery person, and perform delivery is variable, it is not easy to accurately inform customers of the item's arrival time.

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 the user's order information for the first item, and to determine the time required for the first item to be ready for delivery after the user orders the first item, in order to solve the above-mentioned problem. Obtain first time information predicting the time, obtain second time information predicting the time it takes for the delivery person to pick up the first item after the user orders the first item, and pick up the first item. Afterwards, the third time information that predicts the time it will take for the delivery person to complete delivery of the first item is obtained, and the expected delivery of the first item is based on the first time information, second time information, and third time information. The object is to provide an electronic device and method for checking completion time.

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.

A method of processing delivery information in an electronic device according to one embodiment includes obtaining user order information for a first item; Obtaining first time information predicting the time it takes for the first item to become available for delivery after the user orders the first item; Obtaining second time information predicting the time it takes for a delivery person to pick up the first item after the user orders the first item; Obtaining third time information predicting the time it takes for the delivery person to complete delivery of the first item after picking up the first item; and confirming the expected delivery completion time of the first item based on the first time information, the second time information, and the third time information.

According to one embodiment, at least one of the first time information, the second time information, and the third time information may include time section information corresponding to a prediction result of the required time.

According to one embodiment, the time section information may include a time range having a prediction reliability higher than a set level.

According to one embodiment, the electronic device may obtain a time range with a prediction reliability greater than or equal to the set level based on a normal distribution.

According to one embodiment, the step of confirming the expected delivery completion time includes the length of the first time section information included in the first time information, the length of the second time section information included in the second time information, and the first time section information. It may include checking the length of the time section information corresponding to the expected delivery completion time based on at least one of the lengths of the third time section information included in the 3-hour information.

According to one embodiment, the electronic device calculates the length of time section information corresponding to the expected delivery completion time based on Equation 1 below, where A is the length value of the first time section information, and B is the length of the first time section information. C is the length value of the 2-hour section information, C is the length value of the third time section information, and D may be the length of the time section information corresponding to the expected delivery completion time.

[Equation 1]

According to one embodiment, the step of checking the expected delivery completion time includes at least one of a representative value included in the first time information, a representative value included in the second time information, and a representative value included in the third time information. Based on one, it may include confirming a representative value corresponding to the expected delivery completion time.

According to one embodiment, the electronic device calculates a representative value corresponding to the expected delivery completion time based on Equation 2 below, where a is a representative value included in the first time information, and b is the second time. c is a representative value included in the information, c is a representative value included in the third time information, and d may be the time interval from the time the user orders the first item to the representative value corresponding to the expected delivery completion time. there is.

[Equation 2]

According to one embodiment, the step of acquiring the first time information includes predicting the time it takes for the first item to be ready for delivery based on the history of the time spent to prepare the item. may include.

According to one embodiment, the step of obtaining the second time information includes predicting the time it takes to determine a delivery source for delivering the first item; And it may include at least one of predicting the time it will take for the delivery person determined to deliver the first item to arrive at the pickup location of the first item.

According to one embodiment, the step of acquiring the third time information includes the history of the time the delivery person spends to deliver the item and the existence of other delivery tasks that the delivery person must handle before delivery of the first item. It may include predicting the time it will take to complete delivery of the first item based on whether the first item is delivered.

According to one embodiment, the electronic device may acquire at least one of the first time information, the second time information, and the third time information based on a machine learning model.

According to one embodiment, the method of processing the delivery information further includes providing information including a result of confirming the expected delivery completion time of the first item to the user's device, wherein the user's device A user interface including a result of confirming the expected delivery completion time of the first item may be displayed.

According to one embodiment, an electronic device that processes delivery information includes a transceiver, a memory for storing commands, and a processor, and the processor is connected to the transceiver and the memory to store the user's order information for the first item. Obtaining first time information predicting the time it takes for the first item to become available for delivery after the user orders the first item, and obtaining a delivery source after the user orders the first item Obtain second time information predicting the time it takes to pick up the first item, and predict the time it takes for the delivery person to complete delivery of the first item after picking up the first item. Obtain third time information, and confirm the expected delivery completion time of the first item based on the first time information, the second time information, and the third time information.

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 delivery information includes the time it takes for an item to become available for delivery, the time it takes for an item to be picked up by a delivery person after ordering the item, and the time it takes for the item to be picked up by a delivery person after the item is picked up. You can predict the item arrival time by taking into account the time it takes to arrive.

Additionally, according to an embodiment of the present disclosure, an electronic device and method for processing delivery information can provide useful and reliable information to customers by providing item arrival information in time intervals.

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 system for processing delivery information according to an embodiment.

Figure 2 is an operation flowchart of a method for processing information by an electronic device according to an embodiment.

Figure 3 is a diagram for explaining first time information, second time information, and third time information according to an embodiment.

FIG. 4 is a diagram illustrating in detail an example of a method for obtaining first time information and second time information according to an embodiment.

FIG. 5 is a diagram illustrating in detail an example of a method for checking the expected delivery completion time of a first item according to an embodiment.

Figure 6 is an exemplary diagram of the configuration of an electronic device that processes delivery information 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.

According to various embodiments, a system that processes delivery information includes an electronic device 110 and a user's device 120. The system for processing delivery information according to one embodiment may further include a delivery person's device 130. A system for processing delivery information according to an embodiment includes information between at least some of the electronic device 110, the user's device 120, the delivery person's device 130, the worker's device 140 of the item reproduction center, and an external device. It may further include a network supporting transmission and reception.

The electronic device 110, the user's device 120, and the delivery person's device 130 of the system that processes delivery information may include a transceiver, memory, and processor. In addition, the electronic device 110, the user's device 120, and the delivery person's device 130 each refer to a unit that processes at least one function or operation, which is hardware, software, or a combination of hardware and software. It can be implemented as:

Meanwhile, throughout the embodiment, the electronic device 110, the user's device 120, and the delivery person's device 130 are referred to as separate devices and servers, but this may have a logically divided structure, and can be combined into a single device or server. It can be implemented as a separate function. For example, the electronic device 110 may include the delivery person's device 130 or may be integrated with the delivery person's device 130. However, even in this case, the method of processing a series of delivery information performed by data transmission and reception between the electronic device 110, the user's device 120, and the delivery person's device 130 can be performed similarly. For example, in the case of a device that includes the delivery person's device 130 or is integrated with the delivery person's device 130, communication with the delivery person's device 130 may occur between its components within the device. It can be understood that it corresponds to the process of exchanging data (for example, with the processor of the device).

According to one embodiment, the electronic device 110, the user's device 120, and the delivery person's device 130 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's device 120, and the delivery person's device 130 are connected to subordinate devices that can 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 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's device 120, and the delivery person's device 130 include a series of application programs that can operate on a network server and various databases built therein. It can be understood as a concept. For example, at least some of the electronic device 110, the user's device 120, and the delivery person's device 130 may run DOS, Windows, Linux, UNIX, or Mac OS ( It can be implemented using various network server programs provided depending on the operating system such as MacOS).

The electronic device 110 is a device that generates various information and provides it to other servers and devices, and may include a computer device, a mobile communication terminal, and a server. For example, when the electronic device 110 obtains order information about the first item from the user, it can check the delivery completion time of the first item based on delivery source information, etc.

More specifically, the electronic device 110, which has acquired the user's order information for the first item, includes first time information predicting the time it takes for the first item to become available for delivery, and the user's order information for the first item. Thereafter, the second time information predicts the time it takes for the delivery person to pick up the first item, and the third time information predicts the time it takes for the delivery person to complete delivery of the first item after picking up the first item. Information can be obtained, and the expected delivery completion time of the first item can be confirmed based on the first time information, second time information, and third time information.

In relation to this, the first time information, second time information, and third time information do not necessarily have to be acquired in that order, and the acquisition order may vary depending on the embodiment, or at least some of the plurality of information may be acquired simultaneously. The method of acquisition can be determined in various ways.

According to one embodiment, the electronic device 110, which has confirmed the expected delivery completion time of the first item, may provide information including the result of confirming the expected delivery completion time to the user's device 120. In this case, the user's device 120 may display a user interface including the result of confirming the expected delivery completion time of the first item. The user can check the expected delivery completion time of the first item based on the displayed interface.

Meanwhile, as will be described in more detail in FIG. 2, etc., the “estimated delivery completion time” described in the present disclosure is not limited to a single point in time. “Expected delivery completion time” may include a plurality of time points, and may further include a time period corresponding to a series of multiple time points.

The user's order information for the first item may be received from the user's device 120. Meanwhile, there may be an embodiment in which an input by the user's device 120 is received by another device and then transmitted to the electronic device 110, where the electronic device 110 provides the user's order information for the first item. does not necessarily have to be received directly from the user's device 120. However, for convenience of explanation, an embodiment in which the electronic device 110 obtains the user's order information for the first item from the user's device 120 will be described below. However, the following description will explain how the electronic device 110 obtains the user's order information for the first item. This may also apply when obtaining user order information through other methods.

Meanwhile, various examples may exist regarding the acquisition of first time information, second time information, and third time information. For example, at least some of the first time information, second time information, and third time information may be received from the user's device 120, the delivery person's device 130, and other external devices. However, for convenience of explanation, an embodiment in which the electronic device 110 generates first time information, second time information, and third time information will be described below. However, the following description will describe an embodiment in which the electronic device 110 generates first time information, second time information, and third time information. It can also be applied when at least some of the time information is obtained by .

More details related to the operation of the electronic device 110 will be described later with reference to FIGS. 2 to 5, etc.

The user's device 120 is a device for a user to purchase an item through an e-commerce website and may include a computer device, a mobile communication terminal, and a server. The user's device 120 is a terminal operated and managed by the user, and can transmit and receive various information with other devices such as the electronic device 110 and the delivery person's device 130 through a network. For example, the user's device 120 may receive the user's item order input and transmit the user's order information to the electronic device 110. Items are not necessarily limited to items subject to delivery, and may include items that do not require delivery, such as mobile gift certificates or game items. However, for convenience of explanation, hereinafter, an embodiment in which the user orders the first item requiring delivery. Explain.

In addition, the user's device 120 receives real-time delivery progress information from the electronic device 110 or the delivery person's device 130 and provides it to the user in various ways so that the user can check information related to ordering items. can perform its role.

The delivery person's device 130 is a device used by the delivery person to perform tasks related to delivery and may include a computer device, a mobile communication terminal, and a server. The delivery person's device 130 can transmit and receive various information with other devices, such as the electronic device 110 and the user's device 120, through a network. The delivery person's device 130 may receive a request for responsibility for delivery work (including suggestions and instructions, etc.) from the electronic device 110 and transmit it to the delivery person. In addition, the delivery person's device 130 may perform various roles to enable the delivery person to handle delivery tasks, such as generating delivery status information and providing it to the electronic device 110.

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 a system that processes delivery information 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 the other physical device may be implemented as part of the user's device 120, part of the delivery person's device 130, or as part of another external device. It may be implemented. In some cases, each component included in the system that processes delivery information is distributed and placed in different physical devices, and the distributed components are organically combined to function and operate the system that processes delivery information. It may also be implemented to perform. 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.

Referring to FIG. 2, the electronic device 110 according to one embodiment obtains the user's order information for the first item (210). As described above, the user's order information for the first item may be received from the user's device 120, but is not limited to this.

The electronic device 110, which has acquired the user's order information, acquires first time information predicting the time it takes for the first item to become available for delivery after ordering the first item (220). Additionally, the electronic device 110 that has acquired the user's order information acquires second time information predicting the time it takes for the delivery person to pick up the first item (230). As described above, the electronic device 110 does not have to acquire the second time information after acquiring the first time information. For example, the electronic device 110 may acquire the first time information and the second time information at the same time, or may acquire the second time information before the first time information. However, for convenience of explanation in the present disclosure, the first time information This merely explains an embodiment in which second time information is acquired after acquisition of information.

More details related to the acquisition of the first time information and the second time information will be described later in FIG. 4, etc.

The electronic device 110 obtains third time information predicting the time it takes for the delivery person to complete delivery of the first item after picking up the first item (240). As with the first time information and the second time information, in the case of the third time information, the third time information does not have to be acquired after the first time information and the second time information, for example, the first time information and the second time information. The third time information may be obtained simultaneously with at least one of the second time information. However, for convenience of explanation, this disclosure describes an embodiment in which the electronic device 110 acquires third time information after acquiring first time information and second time information.

At least one of the first time information, second time information, and third time information may include time section information corresponding to the prediction result of the required time. Time section information refers to continuous time, and for example, information such as “30 minutes to 40 minutes” may correspond to time section information. However, time section information is not limited to including a single continuous time range, and multiple time ranges that are separated from each other, such as "20 minutes to 30 minutes, 35 minutes to 45 minutes," are gathered together to form one time section. Information can also be organized.

Meanwhile, the above example corresponds to a case where the time section information includes continuous time (e.g., time spent, etc.), but the time section information is not limited to this. For example, time zone information may include continuous times such as “14:05 to 14:25” or may be set based on various methods.

The first time information, second time information, and third time information do not correspond to the same time section information. For example, the time section information corresponding to the first time information is “5 minutes to 10 minutes,” the time section information corresponding to the second time information is “15 minutes to 25 minutes,” and the time section information corresponding to the third time information is “5 minutes to 10 minutes.” The time section information may be different, such as being given as “10 to 20 minutes.” This can be clearly understood considering that the first time information, second time information, and third time information are different information.

According to one embodiment, time section information corresponding to the first time information, second time information, and third time information may include a time range having a prediction reliability of a set level or higher. For example, the time section information corresponding to the first time information may include a time range with a prediction reliability of 90%, which is a time zone set so that when 100 events actually occur, 90 events can fall within the time section. It can mean a range.

For convenience of explanation, it is described as first time information, but second time information and third time information can also be understood in the same context. However, the time section corresponding to the first time information, the time section corresponding to the second time information, and the time section corresponding to the third time information do not all have to fall within a time range with a prediction reliability higher than the set level, but only some of them. It may correspond to a time range having a prediction reliability higher than the set level, or, depending on the embodiment, not even one of them may correspond to a time range having a prediction reliability higher than the set level. Furthermore, even if two or more of the time section corresponding to the first time information, the time section corresponding to the second time information, and the time section corresponding to the third time information fall within a time range having a prediction reliability of a set level or higher. , the prediction reliability set for each time period may be different (for example, the first time information may include a time range with a prediction reliability of 90%, while the second time information may include a time range with a prediction reliability of 95%) (maybe).

According to one example, the electronic device 110 may obtain a time period corresponding to the prediction reliability based on a normal distribution. The normal distribution can be set based on the standard deviation, and what the standard deviation is for each time period can be determined by considering various factors. For example, the standard deviation is determined by considering past history, etc. It may be determined, but is not limited to this.

According to one embodiment, time section information may include representative value information and time section length information. Representative value information may include, for example, the smallest value, largest value, or average value in the corresponding time period. The time section length information may include value information corresponding to the total length of the time section or a value corresponding to half of the total length of the time section. There is no limitation on how to set the representative value and length information of the time section, but the time section can be specified based on the corresponding values.

An example of time section information is shown in FIG. 3. Referring further to FIG. 3, when the hatched portion is the target time section, time section information may be expressed as (representative value: a, length: A). In this case, in one-dimensional coordinates with time as the x-axis, the time section may correspond to (a-A) to (a+A).

Below, for convenience of explanation, an example will be described in which the representative value information includes an average value and the time section length information includes a value corresponding to half of the total length of the time section. For example, if the time section information is "10 minutes to 20 minutes", the average value is 15 minutes and half of the total length of the time section is 5 minutes, so the time section information is (representative value: 15 minutes, length: 5 minutes). can be expressed.

Hereinafter, descriptions such as "Representative value:" and "Length:" can be omitted and time section information can be expressed by simplifying it as (15 minutes, 5 minutes), which corresponds to the average value and half of the total length of the time section, respectively. It can be understood as representing a value.

Returning to FIG. 2 , the electronic device 110 confirms the expected delivery completion time of the first item based on the first time information, second time information, and third time information (250). The “estimated delivery completion time” described in the present disclosure is not limited to a single time point, but may include multiple time points, or may include a time period corresponding to a succession of multiple time points, and may be used in various ways, such as It can be defined accordingly. Depending on the embodiment, the expected delivery completion time may include a plurality of time sections that are not consecutive to each other.

However, for convenience of explanation, hereinafter, an embodiment in which the expected delivery completion time includes one continuous time section information will be described.

According to one embodiment, the electronic device 110 may confirm the expected delivery completion time by checking at least one of a representative value corresponding to the expected delivery completion time and the length of time section information corresponding to the expected delivery completion time. That is, the expected delivery completion time can be expressed as (representative value: a, length: A), similar to the above-described first time information, second time information, and third time information. However, in the case of the expected delivery completion time, there may be a difference in that the representative value is the expected arrival "time" rather than the required "time", but the present disclosure is not limited to this embodiment. For example, of course, in the case of the expected delivery completion time, instead of explicitly expressing the expected arrival time, it can be expressed in the form of a required time such as “xx minutes from the order time” or “xx minutes from the present.”

More details related to confirming the expected delivery completion time are described later in FIG. 5, etc.

Referring to FIG. 4, an example of a method in which the electronic device 110, which has acquired the user's order information for the first item according to an embodiment, obtains first time information and second time information is shown (400) ). Reference numeral 410 corresponds to an example of a method for obtaining first time information, and reference numeral 420 corresponds to an example of a method for obtaining second time information.

According to one embodiment, the operation of the electronic device 110 to obtain the user's order information is a step of the electronic device 110 approving the user's order request, or a store preparing the item (e.g., a merchant) may process the user's order. It may include a step of approving the request, and the approval of the electronic device 110 may include approval by the manager of the electronic device 110 (401).

The electronic device 110, which has acquired the user's order information for the first item, predicts the time required to prepare the first item (410, first time information). According to one embodiment, the electronic device 110 may predict the time it takes for the first item to become ready for delivery based on the history of the time spent preparing the item. In relation to this, the history of the time spent to prepare the item includes various information, such as the history of the time spent to prepare the first item in the past and the time spent by the store preparing the first item to prepare the item in the past. History can be included, and even details of the time spent preparing the item can be further considered in cases where both the item and the store are different.

Furthermore, depending on the embodiment, in order to predict the time required to prepare the first item, statistical information related to the region where the order occurred is considered, or information on the current store's work status (e.g., order information that is being processed or scheduled to be processed in the store) is considered. Various factors may be considered to obtain first time information, such as considering the number of stores, the number of workers in the store, and the store's idle time, etc.

The time required to prepare the first item according to one embodiment may include the time required to cook the food (411), but the scope of the present disclosure is not limited to this embodiment. The time required to prepare the first item may itself correspond to the first time information 412.

Meanwhile, the electronic device 110, which has acquired the user's order information for the first item, predicts the time it will take for the delivery person to pick up the first item (420, second time information). According to one embodiment, the electronic device 110 may predict the time it takes for a delivery person to pick up the first item based on history related to a plurality of candidate delivery people. In relation to this, the history related to multiple candidate delivery people includes the details of the candidate delivery people accepting or rejecting delivery requests in the past and the time taken by the delivery person selected to deliver the first item this time to travel to the store. It can include various histories, etc.

Furthermore, depending on the embodiment, in order to predict the time it will take for the delivery person to pick up the first item, statistical information related to the area where the order occurred is considered, current weather information, current traffic situation information, and optimal delivery for delivery. Various factors may be considered to obtain the second time information, such as considering route information, etc.

According to one embodiment, the electronic device 110 determines the time it takes for a delivery person to deliver the first item to be determined and the time it takes for the delivery person determined to deliver the first item to arrive at the pickup location of the first item. Second time information can be obtained by predicting at least one of the times required. In relation to this, the time it takes to determine the delivery source for delivering the first item is based on the prediction result of the time required to confirm the candidate delivery source capable of processing the delivery (421) and whether the candidate delivery source will handle the delivery. It may include at least one of the prediction results of the time required to make a decision (422), or may correspond to the sum thereof, but the scope of the present disclosure is not limited to this example.

In addition, the time it takes for the delivery person who has decided to deliver the first item to arrive at the pickup location of the first item is the time it takes for the delivery person to handle the preceding work first (T1 travel, for example, other It includes at least one of the prediction results of the time to pick up another item from the store and the prediction result of the time the delivery person moves to the store preparing the first item (T1 nearby), or corresponds to the sum 423 of these. However, the scope of the present disclosure is not limited to these examples.

The second time information according to one embodiment includes the time required to confirm a candidate delivery person capable of processing the delivery (421), the time required for the candidate delivery person to decide whether to process the delivery (422), and the time required for the delivery person to process the delivery. It may correspond to the sum of at least a portion of the time required to process the preceding task first (T1 travel) and the time the delivery person travels to the store preparing the first item (T1 nearby). On the other hand, since the time 421 required to check a candidate delivery source capable of handling a delivery occurs very quickly, this may be ignored and the second time information checked based on the remaining factors, depending on the embodiment. At least some of the factors described may not be taken into account.

Meanwhile, if the delivery person arrives at the store before the preparation of the first item is completed in the store, the delivery person's waiting time occurs (425). Conversely, if the preparation of the first item is completed in the store before the delivery person arrives at the store, a waiting time in the store occurs (413). However, this time may not be included in the first time information and second time information.

According to one embodiment, the electronic device 110 may acquire at least one of first time information and second time information based on a machine learning method. More specifically, the electronic device 110 trains a machine learning model based on the elements described above in relation to the first time information, and inputs elements related to the current situation when an order for the user's first item occurs. Thus, the output can be obtained. Likewise, in the case of the second time information, the electronic device 110 trains a machine learning model based on the above-described factors related to the second time information, and determines the current situation when an order for the first item by the user occurs. You can obtain output by inputting elements related to .

Additionally, depending on the embodiment, a machine learning model may be used even when acquiring third time information (a method of acquiring third time information will be described later in FIG. 5).

The process of acquiring the first time information described so far may correspond to the process of acquiring the standard deviation corresponding to the first time information. Additionally, the process of acquiring the second time information described so far may correspond to the process of acquiring the standard deviation corresponding to the second time information. This may also be true in the case of third time information.

The electronic device 110 that has acquired the standard deviation can obtain a normal distribution corresponding to the standard deviation, and thus can obtain time information by confirming a time range with a set prediction reliability.

Referring to FIG. 5, the time it takes for the delivery person to complete delivery of the first item after picking up the first item is predicted (530, third time information). The acquisition process of the third time information may be carried out together with (or even before) at least one of the first time information acquisition process 510 and the second time information acquisition process 520, but in the present disclosure, the description For convenience, it is explained as if the third time information is acquired after the first time information and the second time information are acquired.

According to one embodiment, the electronic device 110 can predict the time it takes for a delivery person to complete delivery of the first item based on a history related to a plurality of candidate delivery people. In relation to this, the history related to the plurality of candidate delivery agents may include various histories, such as details of the time taken for delivery by the delivery person selected to deliver the first item at this time. Additionally, according to one embodiment, the electronic device 110 may predict the time required to complete delivery of the first item based further on the presence or absence of other delivery tasks that must be processed prior to delivery of the first item. In addition, if there are other delivery tasks, the attributes of the delivery task, the destination of the delivery task, and the time expected to be taken to process the delivery task may be further considered.

Furthermore, depending on the embodiment, the delivery person may consider statistical information related to the area where the order occurred in order to predict the time it will take to complete delivery of the first item, or may consider current weather information, current traffic situation information, and delivery. Various factors can be considered to obtain the third time information, such as considering optimal route information, etc.

According to one embodiment, the time it takes for the delivery person to complete delivery of the first item is the time it takes for the delivery person to process the preceding task first (T2 travel, for example, other deliveries that were received first) It may include at least one of the prediction result of the processing time) and the prediction result of the time the delivery person moves to the delivery destination of the first item (T2 nearby), or may correspond to the sum of these, but the present disclosure is in this embodiment. The scope of is not limited.

Also, as described above, a machine learning model can be used to obtain third time information.

The electronic device 110 that has acquired the first time information, second time information, and third time information can confirm the expected delivery completion time of the first item based on this. Specifically, the electronic device 110 determines the length of the first time section information included in the first time information, the length of the second time section information included in the second time information, and the third time section information included in the third time information. The length of time section information corresponding to the expected delivery completion time can be confirmed based on at least one of the lengths of the information. For example, if the length value of the first time section information is A, the length value of the second time section information is B, and the length value of the third time section information is C, the time section information corresponding to the expected delivery completion time is The length D may be equal to Equation 1 below.

Even if at least some of the first time information, second time information, and third time information correspond to fixed time information (or time point information) rather than time section information, the time section information is considered to be 0 for that information. When calculating, Equation 1 above can be used similarly. For example, if the second time information represents time information fixed to “20 minutes,” B is 0 and D is

(Of course, even if the first time information includes fixed time information,

can be calculated as follows).

Additionally, in order to reduce the amount of computation and save resources, the electronic device 110 according to one example immediately approximates 0 without calculating B when A >> B is expected, or when A << B. You can directly approximate A to 0 without calculating it, and in this case as well,

or

It can be calculated as

In addition, the electronic device 110 provides an estimate corresponding to the delivery completion time based on at least one of the representative value included in the first time information, the representative value included in the second time information, and the representative value included in the third time information. You can check the representative value. First, if the representative value included in the first time information is a and the representative value included in the second time information is b, the item pickup time is

can be decided. As described above with reference to

reference numerals

413 and 425 in FIG. 4, even if the preparation of the first item is completed, pickup and delivery of the first item cannot proceed before the delivery person arrives at the store, and the delivery person cannot proceed to the store. This may be because pickup and delivery of the first item cannot proceed until preparation of the first item is completed even if it arrives.

Thereafter, by adding the representative value c of the third time information to the item pickup time, the time interval d from the time of ordering the first item to the representative value corresponding to the expected delivery completion time can be calculated, which is expressed in Equation 2 below It may be the same as

The electronic device 110 can confirm a representative value corresponding to the expected delivery completion time by adding d from the order time of the first item.

According to the content described above, confirmation of the expected delivery completion time according to an embodiment of the present disclosure can be completed. As an example of a specific application of this, an order was placed at 15:00, the first time information was (20 minutes, 5 minutes), the second time information was (25 minutes, 10 minutes), and the third time information was ( 10 minutes, 3 minutes), the length of time section information corresponding to the expected delivery completion time according to Equation 1

Because of

Calculated as , the time interval until the representative value corresponding to the expected delivery completion time according to Equation 2

Therefore, it can be calculated as 35. In conclusion, the estimated delivery completion time is (15:35,

) can be calculated as

Referring to FIG. 6 , the electronic device 110 includes a transceiver 610, a processor 620, and a memory 630. The electronic device 110 can be connected to the electronic device 110 and other external devices through the transceiver 610 and exchange data.

The processor 620 may include at least one device described above with reference to FIGS. 1 to 5 or may perform at least one method described above with reference to FIGS. 1 to 5 . The memory 630 may store information for performing at least one method described above with reference to FIGS. 1 to 5 . Memory 630 may be volatile memory or non-volatile memory.

The processor 620 can control the electronic device 110 to execute programs and provide information. The code of the program executed by the processor 620 may be stored in the memory 630.

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

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 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. , and may include user interface devices such as buttons. 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 may include integrated circuit configurations such as memory, processing, logic, look-up tables, etc., capable of executing 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

In a method of processing shipping information on an electronic device,

Obtaining user order information for the first item;

Obtaining first time information predicting the time it takes for the first item to become available for delivery after the user orders the first item;

Obtaining second time information predicting the time it takes for a delivery person to pick up the first item after the user orders the first item;

Obtaining third time information predicting the time it takes for the delivery person to complete delivery of the first item after picking up the first item; and

A method of processing delivery information, including the step of confirming an expected delivery completion time of the first item based on the first time information, the second time information, and the third time information.
According to paragraph 1,

A method of processing delivery information, wherein at least one of the first time information, the second time information, and the third time information includes time section information corresponding to a prediction result of the required time.
According to paragraph 2,

The time zone information is

A method of processing delivery information, characterized in that it includes a time range having a prediction reliability greater than or equal to a set level.
According to paragraph 3,

A method of processing delivery information, wherein the electronic device obtains a time range with a prediction reliability equal to or higher than the set level based on a normal distribution.
According to paragraph 2,

The step of checking the estimated delivery completion time is

At least one of the length of the first time section information included in the first time information, the length of the second time section information included in the second time information, and the length of the third time section information included in the third time information. Based on this, a method of processing delivery information, comprising the step of checking the length of time section information corresponding to the expected delivery completion time.
According to clause 5,

The electronic device calculates the length of time section information corresponding to the expected delivery completion time based on Equation 1 below, where A is the length value of the first time section information, and B is the length of the second time section information. value, C is the length value of the third time section information, and D is the length of time section information corresponding to the expected delivery completion time. A method of processing delivery information.

[Equation 1]
According to paragraph 1,

The step of checking the estimated delivery completion time is

Based on at least one of the representative value included in the first time information, the representative value included in the second time information, and the representative value included in the third time information, a representative value corresponding to the expected delivery completion time is determined. A method of processing delivery information, comprising the step of verifying.
In clause 7,

The electronic device calculates a representative value corresponding to the expected delivery completion time based on Equation 2 below, where a is a representative value included in the first time information, and b is a representative value included in the second time information. , c is a representative value included in the third time information, and d is the time interval from the time the user orders the first item to the representative value corresponding to the expected delivery completion time, delivery information. How to deal with it.

[Equation 2]
According to paragraph 1,

The step of acquiring the first time information is

A method of processing delivery information, comprising predicting the time it will take for the first item to become deliverable based on a history of the time spent preparing the item.
According to paragraph 1,

The step of acquiring the second time information is

Predicting the time it takes to determine a delivery source for delivering the first item; and

Predicting the time it will take for a delivery person determined to deliver the first item to arrive at the pickup location of the first item.

A method of processing shipping information, comprising at least one of the following:
According to paragraph 1,

The step of obtaining the third time information is

Based on the history of the time the delivery person spends to deliver the item and whether there are other delivery tasks that the delivery person must handle prior to delivery of the first item, the time required to complete delivery of the first item A method of processing delivery information, comprising the step of predicting a delivery time.
According to paragraph 1,

A method of processing delivery information, characterized in that the electronic device acquires at least one of the first time information, the second time information, and the third time information based on a machine learning model.
According to paragraph 1,

Further comprising providing information including a result of confirming the expected delivery completion time of the first item to the user's device,

A method of processing delivery information, characterized in that the user's device displays a user interface including a result of confirming the expected delivery completion time of the first item.
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 information,

Includes a transceiver, memory for storing instructions, and a processor;

The processor is connected to the transceiver and the memory,

Obtain the user's order information for the first item,

Obtain first time information predicting the time it takes for the first item to become available for delivery after the user orders the first item,

Obtaining second time information predicting the time it takes for a delivery person to pick up the first item after the user orders the first item,

Obtaining third time information predicting the time it takes for the delivery person to complete delivery of the first item after picking up the first item,

An electronic device that confirms an expected delivery completion time of the first item based on the first time information, the second time information, and the third time information.