TW202418153A - Apparatus for processing item refund information and method thereof - Google Patents

Abstract

According to the present invention, a method for processing delivery information in an electronic device is disclosed, which includes the following steps: obtaining user order information for a first item; obtaining first time information, the first time information is obtained by predicting the time required for the first item to become a deliverable state after the user orders the first item; obtaining second time information, the second time information is obtained by predicting the time required for a delivery person to obtain the first item after the user orders the first item; obtaining third time information, the third time information is obtained by predicting the time required for the delivery person to complete the delivery of the first item after obtaining the first item; and a step of confirming the predicted time of completion of delivery of the first item based on the first time information, the second time information and the third time information.

Description

Device and method for processing delivery information

The present invention relates to a device and method for processing delivery information. More specifically, the present invention relates to a method and an electronic device using the method to respectively predict the time required for an item to become deliverable, the time required for a delivery person to pick up the item after ordering the item, and the time required for the delivery person to complete the delivery after receiving the item, thereby confirming the delivery completion time of the item.

With the development of electronic technology, e-commerce has become a field of shopping. Even if customers do not go directly to the mall or market, they can buy items online, and the items purchased online will be delivered to the delivery location requested by the customer.

As the use of the Internet becomes more widespread, the e-commerce market is gradually expanding, especially with the following trends: the demand for non-contact services has skyrocketed due to the spread of infectious diseases, and goods with a short circulation or consumption period (food, etc.) are often delivered.

For such items, fast and timely delivery is particularly important. Therefore, it is undesirable for the delivery person to arrive at the store later than the time it takes to prepare the items. In addition, the customer must be informed of the final arrival time of the items as accurately as possible.

However, the time required to prepare items, assign couriers, and make deliveries can vary, so it is not easy to accurately inform customers when their items will arrive.

In this regard, please refer to previous literature such as KR101870190B1 or KR20050108168A.

[The problem the invention is trying to solve]

The problem that this embodiment aims to solve is that, in order to solve the above problem, an electronic device and method as follows are provided: obtaining the user's order information for the first item, obtaining the first time information obtained by predicting the time required for the first item to become deliverable after the user orders the first item, obtaining the second time information obtained by predicting the time required for the delivery person to obtain the first item after the user orders the first item, obtaining the third time information obtained by predicting the time required for the delivery person to complete the delivery of the first item after obtaining the first item, and confirming the predicted time of completion of delivery of the first item based on the first time information, the second time information and the third time information.

The technical problems to be solved by this embodiment are not limited to the technical problems described above, and other technical problems can be derived based on the following embodiments. [Technical means for solving the problem]

In an electronic device of one embodiment, a method for processing delivery information includes the following steps: obtaining user order information for a first item; obtaining first time information, the first time information being a prediction of the time required for the first item to become deliverable after the user orders the first item; obtaining second time information, the second time information being a prediction of the time required for a delivery person to obtain the first item after the user orders the first item; obtaining third time information, the third time information being a prediction of the time required for the delivery person to complete the delivery of the first item after obtaining the first item; and confirming the predicted time of completion of delivery 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 period information corresponding to the prediction result of the required time.

According to one embodiment, the time period information may include a time range having a prediction reliability above a set level.

According to one embodiment, the electronic device may obtain the time range having the prediction reliability above a set level based on a normal distribution.

According to one embodiment, the step of confirming the above-mentioned predicted delivery completion time may include the following steps: based on at least one of the length of the first time period information included in the above-mentioned first time information, the length of the second time period information included in the above-mentioned second time information, and the length of the third time period information included in the above-mentioned third time information, confirm the length of the time period information corresponding to the above-mentioned predicted delivery completion time.

According to one embodiment, the electronic device can calculate the length of the time period information corresponding to the predicted delivery completion moment based on the following formula 1, where A is the length value of the first time period information, B is the length value of the second time period information, C is the length value of the third time period information, and D is the length of the time period information corresponding to the predicted delivery completion moment.

[Formula 1]

According to one embodiment, the step of confirming the above-mentioned delivery completion predicted time may include the following steps: based on at least one of the representative value included in the above-mentioned first time information, the representative value included in the above-mentioned second time information, and the representative value included in the above-mentioned third time information, confirm the representative value corresponding to the above-mentioned delivery completion predicted time.

According to one embodiment, the electronic device can calculate the representative value corresponding to the predicted time of delivery completion based on the following formula 2, where a is the representative value included in the first time information, b is the representative value included in the second time information, c is the representative value included in the third time information, and d is the time interval from the time when the user orders the first item to the representative value corresponding to the predicted time of delivery completion.

[Formula 2]

According to one embodiment, the step of obtaining the first time information may include the following steps: based on the history of the time required to prepare items, predicting the time required for the first item to become deliverable.

According to one embodiment, the step of obtaining the second time information may include at least one of predicting the time required for a delivery person to deliver the first item and predicting the time required for a delivery person to arrive at a pickup location for the first item.

According to one embodiment, the step of obtaining the third time information may include the following steps: based on the history of the time required for the delivery personnel to deliver items and whether the delivery personnel have other delivery tasks to be handled before delivering the first item, predicting the time required to complete the delivery of the first item.

According to one embodiment, the electronic device may obtain 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 for processing delivery information may further include the following steps: providing information including the result of confirming the predicted time of completion of delivery of the first item to the user's device; the user's device displays a user interface including the result of confirming the predicted time of completion of delivery of the first item.

According to one embodiment, an electronic device for processing delivery information includes a transceiver, a memory for storing commands, and a processor. The processor is connected to the transceiver and the memory to obtain user order information for a first item, obtain first time information for predicting the time required for the first item to become deliverable after the user orders the first item, obtain second time information for predicting the time required for a delivery person to obtain the first item after the user orders the first item, obtain third time information for predicting the time required for the delivery person to complete delivery of the first item after obtaining the first item, and confirm the predicted time of completion of delivery of the first item based on the first time information, the second time information, and the third time information.

Specific matters of other embodiments are included in the detailed description and attached drawings. [Effects of the invention]

According to the present invention, an electronic device and method for processing delivery information can predict the arrival time of items by considering the time required for items to become deliverable, the time required for a delivery person to pick up the items after ordering them, and the time required for a delivery person to complete delivery after receiving the items.

Furthermore, according to an embodiment of the present invention, an electronic device for processing delivery information and a method thereof provide item arrival information by time period, thereby providing useful and reliable information to customers.

The effects of the invention are not limited to the effects mentioned above. A person with common sense in the technical field can clearly understand other effects not mentioned based on the description of the invention patent application scope.

The terms used in the embodiments are common terms that are currently widely used as much as possible in consideration of the functions of the present invention, but these terms may vary according to the intentions or cases of technical personnel in this field, the emergence of new technologies, etc. In addition, in specific cases, there are terms that the applicant arbitrarily selects, and in such cases, their meanings can be described in detail in the corresponding description section. Therefore, the terms used in the present invention should be defined based on the meaning of the terms and the entire content of the present invention, and not based on the simple names of the terms.

Throughout the specification, when a certain part is described as "including" a certain component, unless otherwise stated, it means that other components may be further included, and other components are not excluded. In addition, the terms "...part", "...module" and the like described in the specification refer to a unit that processes at least one function or action, which can be implemented by hardware or software, or by a combination of hardware and software.

The expression "at least one of a, b, and c" recorded throughout the specification may include "a alone", "b alone", "c alone", "a and b", "a and c", "b and c" or "a, b, c".

The "terminal" mentioned below can be realized by a computer or a portable terminal that can be connected to a server or other terminal via a network. Here, the computer includes, for example, a notebook computer, a desktop computer, a laptop computer, etc. installed with a web browser (WEB Browser), and the portable terminal, for example, as a wireless communication device that ensures portability and mobility, can include communication terminals such as IMT (International Mobile Telecommunication), CDMA (Code Division Multiple Access), W-CDMA (W-Code Division Multiple Access), LTE (Long Term Evolution), and all types of handheld wireless communication devices such as smart phones, tablet personal computers (Personal Computers, PCs), etc.

Hereinafter, the embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily implement the present invention. However, the present invention can be implemented in various 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.

When describing the embodiments, technical contents that are well known in the technical field to which the present invention belongs and are not directly related to the present invention are omitted. The reason is that the main purpose of the present invention can be more clearly conveyed by omitting redundant descriptions to avoid confusion of the main purpose of the present invention.

In the accompanying drawings, some components are exaggerated or schematically shown, or some components are omitted for the same reason. In addition, the size of each component does not completely reflect the actual size. In each figure, the same reference symbol is given to the same or corresponding components.

The advantages, features and methods of achieving the advantages and features of the present invention will become clear by referring to the embodiments described in detail below together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and can be implemented in different forms. The embodiments are only provided to fully disclose the present invention and fully inform the scope of the invention to those with common knowledge in the technical field to which the present invention belongs. The present invention is only defined by the scope of the invention application. Throughout the specification, the same reference symbols represent the same constituent elements.

At this point, it is understood that the combination of each block of the process flow chart and the flow chart can be implemented by computer program instructions. Such computer program instructions can be installed in a processor of a general-purpose computer, a special-purpose computer or other programmable data processing device, so that the instructions implemented by the processor of the computer or other programmable data processing device produce a mechanism for implementing the functions described in the flow chart blocks. In order to implement the functions in a specific manner, such computer program instructions can also be stored in a computer-usable or computer-readable memory that can be directed to a computer or other programmable data processing device, so that the instructions stored in the computer-usable or computer-readable memory can also produce a manufactured item including an instruction mechanism for implementing the functions described in the flow chart blocks. Computer program instructions can also be installed on a computer or other programmable data processing device, so that a series of action steps can be executed on the computer or other programmable data processing device to generate a process executed by the computer, so that the instructions executed by the computer or other programmable data processing device provide steps for executing the functions described in the flowchart blocks.

Furthermore, each block may represent a module, a segment, or a portion of code that includes one or more executable instructions for performing a specific logical function. Furthermore, it should be noted that in some alternative implementations, the functions mentioned in the blocks may not be generated in order. For example, two blocks shown in succession may actually be implemented at the same time, or may be implemented in the opposite order depending on the corresponding functions.

FIG. 1 is a diagram schematically showing the structure of a system for processing delivery information according to an embodiment.

According to various embodiments, the system for processing delivery information includes an electronic device 110 and a user's device 120. The system for processing delivery information of one embodiment may further include a delivery person's device 130. The system for processing delivery information of one embodiment may further include a network that supports information transmission and reception between the electronic device 110, the user's device 120, the delivery person's device 130, and at least a portion of the external devices.

The electronic device 110 of the system for processing delivery information, the user's device 120, and the delivery person's device 130 may include a transceiver, a memory, and a processor. In addition, the electronic device 110, the user's device 120, and the delivery person's device 130 respectively refer to a unit that processes at least one function or action, which can be implemented by hardware or software, or a combination of hardware and software.

On the other hand, throughout the embodiments, the electronic device 110, the user's device 120, and the delivery person's device 130 are described as separate devices and servers, but they may be logically divided structures that may be implemented by separate functions in one device or server. For example, the electronic device 110 may include the delivery person's device 130, or may be combined with the delivery person's device 130 to form a whole. However, in this case, a series of methods for processing delivery information may be similarly implemented by sending and receiving data between the electronic device 110, the user's device 120, and the delivery person's device 130. For example, in the case of a device including the courier's device 130 or being combined with the courier's device 130 to form an integrated device, communication with the courier's device 130 can be understood as a process of sending and receiving data within the device between the constituent elements (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 by a network server. For example, at least a portion of the electronic device 110, the user's device 120, and the delivery person's device 130 may refer to the following computer systems and computer software: it can be connected to a lower-level device that communicates with other network servers through a computer network such as an intranet or the Internet to receive an operation execution request, execute the operation, and provide an execution result. In addition, at least a portion of the electronic device 110, the user's device 120, and the delivery person's device 130 can also be understood as a broad concept including a series of applications that can perform actions on a network server and various databases built inside. For example, at least a portion of the electronic device 110, the user's device 120, and the delivery person's device 130 may be implemented using various network server programs provided based on operating systems such as DOS, Windows, Linux, UNIX, or 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, etc. For example, after the electronic device 110 obtains the order information of the first item from the user, it can confirm the delivery completion time of the first item based on the delivery person information, etc.

More specifically, the electronic device 110 that obtains the user's order information for the first item can obtain the first time information obtained by predicting the time required for the first item to become deliverable, the second time information obtained by predicting the time required for the delivery person to obtain the first item after the user orders the first item, and the third time information obtained by predicting the time required for the delivery person to complete the delivery of the first item after obtaining the first item, and confirms the predicted time of completion of delivery of the first item based on the first time information, the second time information and the third time information.

In this regard, the first time information, the second time information and the third time information do not have to be obtained in this order, and their acquisition methods can be determined differently as follows: depending on the implementation example, their acquisition order is different, or at least part of multiple information is obtained at the same time.

According to one embodiment, the electronic device 110 that has confirmed the estimated time of delivery completion of the first item may provide information including the result of confirming the estimated time of delivery completion 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 estimated time of delivery completion of the first item. The user may confirm the estimated time of delivery completion of the first item based on the displayed interface.

On the other hand, as will be described in more detail in FIG. 2 and the like, the "delivery completion prediction time" described in the present invention is not limited to a time point on the day. The "delivery completion prediction time" may include a plurality of time points, and further, may include a time period equivalent to a plurality of time points listed consecutively.

The user's order information for the first item may be received from the user's device 120. On the other hand, the electronic device 110 does not necessarily need to directly receive the user's order information for the first item from the user's device 120, and there may be embodiments such as the following: other devices receive inputs made through the user's device 120 and transmit them to the electronic device 110. However, in the following, for the sake of convenience, an embodiment in which the electronic device 110 obtains the user's order information for the first item from the user's device 120 is described, but the following description may also be applicable to the case in which the electronic device 110 obtains the user's order information by other methods.

On the other hand, there are various examples for obtaining the first time information, the second time information, and the third time information. For example, at least a portion of the first time information, the second time information, and the third time information may be received from the user's device 120, the delivery person's device 130, and other external devices. However, for the sake of convenience, the following description is given of an embodiment in which the electronic device 110 generates the first time information, the second time information, and the third time information, but the following description may also be applicable to a case in which the electronic device 110 obtains at least a portion of the time information by other methods.

In the following, more detailed matters related to the operation of the electronic device 110 are described in FIG. 2 to FIG. 5 .

The user's device 120 is a device for users to purchase items through the e-commerce website, and may include a computer device, a mobile communication terminal, and a server. As a terminal operated and managed by the user, the user's device 120 can send and receive various information with other devices such as the electronic device 110 and the delivery person's device 130 through the network. For example, the user's device 120 can 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 that are to be delivered, and may include all items that do not need to be delivered, such as mobile gift certificates or game items. In the following, for the sake of convenience, an embodiment of the first item ordered by the user for delivery is described.

In addition, the user's device 120 can perform various functions so that the user can confirm information related to the item order, for example, receiving real-time delivery progress information from the electronic device 110 or the delivery person's device 130 and providing it to the user.

The deliveryman's device 130 is a device used by the deliveryman to perform delivery-related tasks, and may include a computer device, a mobile communication terminal, and a server. The deliveryman's device 130 may send and receive various information with other devices such as the electronic device 110 and the user's device 120 via the network. The deliveryman's device 130 may receive a request for delivery tasks (including recommendations and instructions) from the electronic device 110 and transmit it to the deliveryman. In addition, the deliveryman's device 130 may perform various functions so that the deliveryman may handle the following delivery tasks: Generate delivery status information and provide it to the electronic device 110.

The actions related to a series of information processing methods in various embodiments can be implemented by a single physical device or by an organic combination of multiple physical devices. For example, a part of the components included in the system for processing delivery information can be implemented by a certain physical device, and the rest can be implemented by other physical devices. For example, a certain physical device can be implemented as a part of the electronic device 110, and other physical devices can also be implemented as a part of the user's device 120, or a part of the delivery person's device 130, or a part of other external devices. The various components included in the system for processing delivery information can also be implemented in the following manner depending on the situation: they are separately distributed in different physical devices, and the distributed components are organically combined to implement the functions and actions of the system for processing delivery information. For example, the electronic device 110 of this specification may also include at least one sub-device, and it is recorded that a portion of the actions performed by the electronic device 110 is performed by a first sub-device, and another portion of the actions is performed by a second sub-device.

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

2, the electronic device 110 of 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 can be received from the user's device 120, but it is not limited thereto.

The electronic device 110 that has obtained the user's order information obtains the first time information (220) that predicts the time required for the first item to become a deliverable state after the first item is ordered. In addition, the electronic device 110 that has obtained the user's order information obtains the second time information (230) that predicts the time required for the delivery person to obtain the first item. As described above, it is not necessary for the electronic device 110 to obtain the second time information after obtaining the first time information. For example, the electronic device 110 may obtain the first time information and the second time information at the same time, or obtain the second time information before the first time information. However, in the present invention, for the sake of convenience, only an embodiment of obtaining the second time information after obtaining the first time information is described.

Below, more detailed matters related to the acquisition of the first time information and the second time information are described in FIG. 4 and the like.

The electronic device 110 obtains the third time information (240) obtained by predicting the time required for the deliveryman to complete the delivery of the first item after obtaining the first item. Similar to the first time information and the second time information, the third time information is not necessarily obtained after obtaining the first time information and the second time information. For example, the third time information can also be obtained at the same time as at least one of the first time information and the second time information. However, in the present invention, for the convenience of explanation, an embodiment in which the electronic device 110 obtains the first time information and the second time information and then obtains the third time information is described.

At least one of the first time information, the second time information, and the third time information may include time segment information corresponding to the prediction result of the required time. Time segment information refers to continuous time. For example, information such as "30 minutes to 40 minutes" may be time segment information. However, time segment information is not limited to a single continuous time range. For example, multiple time ranges separated from each other such as "20 minutes to 30 minutes, 35 minutes to 45 minutes" may be collected to form one time segment information.

On the other hand, the above example corresponds to a case where the time period information includes continuous time (e.g., required time, etc.), but the time period information is not limited to this. For example, the time period information may include continuous time such as "14:05 to 14:25", and other than this, it may also be set based on various methods.

The first time information, the second time information, and the third time information do not correspond to the same time period information. For example, the time period information may be different as follows: the time period information corresponding to the first time information is "5 minutes to 10 minutes", the time period information corresponding to the second time information is "15 minutes to 25 minutes", and the time period information corresponding to the third time information is "10 minutes to 20 minutes". The content can be clearly understood by considering the first time information, the second time information, and the third time information as different information.

According to one embodiment, the time segment information corresponding to the first time information, the second time information, and the third time information may include a time range having a prediction reliability above a set level. For example, the time segment information corresponding to the first time information may include a time range having a prediction reliability of 90%, which may refer to a time segment range set in the following manner: when 100 events actually occur, 90 events fall within the time segment.

For the sake of convenience, the first time information is used for explanation, but the second time information and the third time information can also be understood in the same way. However, the time period corresponding to the first time information, the time period corresponding to the second time information, and the time period corresponding to the third time information do not all need to correspond to the time range with a predicted reliability above the set level, and only a part of them may correspond to the time range with a predicted reliability above the set level, or according to the embodiment, none of them may correspond to the time range with a predicted reliability above the set level. Furthermore, in the case where two or more of the time period corresponding to the first time information, the time period corresponding to the second time information, and the time period corresponding to the third time information correspond to a time range having a prediction reliability above a set level, the prediction reliability set for each time period will also be different (for example, the first time information may include a time range with a prediction reliability of 90%, whereas the second time information may include a time range with a prediction reliability of 95%).

According to an example, the electronic device 110 may obtain a time period corresponding to the prediction reliability based on a normal distribution. The normal distribution may be set based on its standard deviation, and the standard deviation of each time period may be determined by considering various factors, such as history, etc., but is not limited thereto.

According to one embodiment, the time segment information may include representative value information and time segment length information. The representative value information may include, for example, the minimum value, maximum value, or average value in the time segment. The time segment length information may include value information corresponding to the overall length of the time segment, or a value corresponding to half of the overall length of the time segment. The method of setting the representative value and length information of the time segment is not limited, as long as the time segment can be specified based on these values.

FIG3 shows an example of time segment information. Referring to FIG3 (300), when the shaded portion is the target time segment, the time segment information can be represented as (representative value: a, length: A). In this case, in a one-dimensional coordinate with time as the x-axis, the time segment can be (a-A) to (a+A).

For the sake of convenience, the following describes an example in which the representative value information includes an average value and the time period length information includes a value corresponding to half of the entire time period length. For example, when the time period information is "10 minutes to 20 minutes", the average value is 15 minutes, and half of the entire time period length is 5 minutes, so the time period information can be expressed as (representative value: 15 minutes, length: 5 minutes).

In the following, the descriptions such as "representative value:" and "length:" may be omitted, and the time period information may be simply expressed as (15 minutes, 5 minutes), which can be understood as indicating the average value and the value corresponding to half of the entire time period length, respectively.

Returning to FIG. 2 again, the electronic device 110 confirms the estimated time of delivery completion of the first item based on the first time information, the second time information, and the third time information (250). The "estimated time of delivery completion" described in the present invention is not limited to a single time point, and can be defined in various ways such as the following: it can include multiple time points, or include a time period corresponding to a plurality of time points listed continuously. According to an embodiment, it can also include multiple time periods whose estimated time of delivery completion is not continuous with each other.

However, for the sake of convenience, the following describes an example in which the delivery completion prediction time includes a continuous time period information.

According to one embodiment, the electronic device 110 can confirm the predicted delivery completion time by confirming at least one of the representative value corresponding to the predicted delivery completion time and the length of the time period information corresponding to the predicted delivery completion time. That is, the predicted delivery completion time can be expressed as (representative value: a, length: A) in the same manner as the first time information, the second time information, and the third time information described above. However, the predicted delivery completion time differs in that its representative value is the expected arrival "time" instead of the required "time", but the present invention is not limited to such an embodiment. For example, the predicted delivery completion time can of course also be expressed in the form of required time such as "xx minutes from the ordering time" or "xx minutes from the current time" instead of explicitly indicating the expected arrival time.

Below, more detailed matters related to confirming the estimated time of delivery completion are described in Figure 5, etc.

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

4, an example (400) of a method for an electronic device 110 to obtain user order information for a first item to obtain first time information and second time information is shown. Symbol 410 corresponds to an example of a method for obtaining the first time information, and symbol 420 corresponds to an example of a method for obtaining the second time information.

According to one embodiment, the action of the electronic device 110 obtaining the user's order information may include the step of the electronic device 110 approving the user's order request, or the step of the store that prepares the goods (e.g., a merchant) approving the user's order request, etc. The approval of the electronic device 110 may include approval by the administrator of the electronic device 110, etc. (401).

The electronic device 110 that obtains the user's order information for the first item predicts the time required to prepare the first item (first time information) (410). According to one embodiment, the electronic device 110 can predict the time required for the first item to become a delivery state based on the history of the time required to prepare the item. In this regard, the history of the time required to prepare the item can include the details of the time required to prepare the first item in the past, the details of the time required to prepare the item in the past by the store that is preparing the first item, and other various histories. It can even further consider the details of the time required to prepare the item when both the item and the store are different.

Furthermore, according to the embodiment, in order to predict the time required to prepare the first item, the first time information can be obtained by considering various factors such as: statistical information related to the area where the order occurs, or current store operation status information (such as the number of orders being processed or expected to be processed by the store, the number of store operators, and the store's idle time, etc.).

In one embodiment, the time required to prepare the first item may include the time required to cook the food 411, but the scope of the present invention is not limited to such an embodiment. The time required to prepare the first item itself may correspond to the first time information 412.

On the other hand, the electronic device 110 that has obtained the user's order information for the first item predicts the time 420 (second time information) required for the delivery person to obtain the first item. According to one embodiment, the electronic device 110 can predict the time required for the delivery person to obtain the first item based on the history associated with a plurality of candidate delivery persons. In this regard, the history associated with a plurality of candidate delivery persons may include various histories such as details of past acceptance or rejection of delivery requests by candidate delivery persons and details of the time required for the delivery person who is determined to deliver the first item this time to move to the store.

Furthermore, according to the embodiment, in order to predict the time required for the delivery person to obtain the first item, statistical information related to the area where the order occurs, or current weather information, current traffic conditions information and optimal route information for delivery, etc., various factors can be considered to obtain the second time information.

According to one embodiment, the electronic device 110 predicts at least one of the time required to determine the delivery person for delivering the first item and the time required to determine the delivery person for delivering the first item to arrive at the pickup location of the first item, thereby obtaining the second time information. In this regard, the time required to determine the delivery person for delivering the first item may include at least one of the prediction results of the time 421 required to confirm the alternate delivery person who can handle the delivery and the prediction results of the time 422 required for the alternate delivery person to determine whether to handle the delivery, or the sum thereof, but the scope of the present invention is not limited to such an embodiment.

Furthermore, determining the time required for a delivery person to deliver the first item to arrive at the pickup location of the first item may include at least one of the predicted results of the time T1 travel required for the delivery person to handle previous business (for example, the time to pick up other items from other stores) and the predicted results of the time T1 nearby required for the delivery person to move to the store where the first item is prepared, or a total thereof 423, but the scope of the present invention is not limited to such an embodiment.

The second time information of an embodiment may correspond to the total of at least a portion of the time 421 required for a replacement deliveryman to confirm that he can handle the delivery, the time 422 required for the replacement deliveryman to determine whether to handle the delivery, the time T1 travel required for the deliveryman to handle the previous business, and the time T1 nearby for the deliveryman to move to the store where the first item is prepared. For example, the second time information of an embodiment may correspond to the total of the time 422 required for a replacement deliveryman to confirm whether to handle the delivery, the time T1 travel required for the deliveryman to handle the previous business, and the time T1 nearby for the deliveryman to move to the store where the first item is prepared (refer to the diagram symbol 424). On the other hand, the time 421 required to confirm a backup delivery person who can handle the delivery occurs in an instant, so it is ignored and the second time information is confirmed based on other factors. Depending on the embodiment, at least part of the factors described above may not be considered.

On the other hand, when the deliveryman arrives at the store before the store completes the preparation of the first item, the deliveryman's waiting time 425 is generated. On the contrary, when the store completes the preparation of the first item before the deliveryman arrives at the store, the store's waiting time 413 is generated. However, such time may not be included in the first time information and the second time information.

According to one embodiment, the electronic device 110 can obtain at least one of the first time information and the second time information based on a machine learning method. More specifically, the electronic device 110 learns a machine learning model based on the above-mentioned factors in relation to the first time information, and when a user places an order for the first item, the factors related to the current situation can be input to obtain an output. Similarly, the electronic device 110 can learn a machine learning model based on the above-mentioned factors in relation to the second time information, and when a user places an order for the first item, the factors related to the current situation can be input to obtain an output.

Furthermore, according to the embodiment, when obtaining the third time information, a machine learning model can also be used (the method for obtaining the third time information is described below in FIG. 5 ).

The process of obtaining the first time information described so far can correspond to the process of obtaining the standard deviation corresponding to the first time information. In addition, the process of obtaining the second time information described so far can correspond to the process of obtaining the standard deviation corresponding to the second time information. The same can be said for the third time information.

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

FIG. 5 is a diagram for specifically explaining an example of a method for confirming an estimated time of completion of delivery of a first article according to an embodiment.

Referring to FIG. 5 (500), the time 530 (third time information) required for the delivery person to complete the delivery of the first item after obtaining the first item is predicted. The process of obtaining the third time information can be performed together with (or even before) at least one of the process of obtaining the first time information 510 and the process of obtaining the second time information 520, but in the present invention, for the sake of convenience, the third time information is described as being obtained after obtaining the first time information and the second time information.

According to one embodiment, the electronic device 110 can predict the time required for the delivery personnel to complete the delivery of the first item based on the history related to the plurality of candidate delivery personnel. In this regard, the history related to the plurality of candidate delivery personnel can include various histories such as the details of the time required for the delivery personnel determined to deliver the first item this time. In addition, according to one embodiment, the electronic device 110 can further predict the time required to complete the delivery of the first item based on whether there are other delivery businesses that need to be processed before the delivery of the first item. If there are other delivery businesses, the electronic device 110 can also further consider the attributes of the delivery business or the destination of the delivery business, and predict the time required to process the delivery business.

Furthermore, according to the embodiment, in order to predict the time required for the delivery person to complete the delivery of the first item, statistical information related to the area where the order was placed, or current weather information, current traffic conditions information, and optimal route information for delivery, etc., can be considered. Various factors can be considered in order to obtain the three time information.

According to one embodiment, the time required for the deliveryman to complete the delivery of the first item may include at least one of the predicted results of the time T2 travel required for the deliveryman to handle previous business (for example, the time to handle other deliveries received first) and the predicted results of the time T2 nearby required for the deliveryman to move to the delivery destination of the first item, or may be a sum of them, but the scope of the present invention is not limited to such an embodiment.

Furthermore, as described above, in order to obtain the third time information, a machine learning model can be used.

The electronic device 110 that obtains the first time information, the second time information, and the third time information can confirm the estimated time of delivery completion of the first item based on the information. Specifically, the electronic device 110 can confirm the length of the time segment information corresponding to the estimated time of delivery completion based on at least one of the length of the first time segment information included in the first time information, the length of the second time segment information included in the second time information, and the length of the third time segment information included in the third time information. For example, when the length value of the first time segment information is A, the length value of the second time segment information is B, and the length value of the third time segment information is C, the length D of the time segment information corresponding to the estimated time of delivery completion can be the same as the following formula 1.

[Formula 1]

In the case where at least a portion of the first time information, the second time information, and the third time information corresponds to fixed time information (or time point information) other than time period information, for the information, if the time period information is calculated to be 0, the above formula 1 can be used in the same manner. For example, in the case where the second time information includes time information fixed to "20 minutes", B can be 0 and D can be (Of course, when the first time information includes fixed time information, it can also be calculated as follows general calculation).

Furthermore, in order to reduce the amount of computation and save resources, in an example, when the electronic device 110 predicts that A>>B, B is not calculated and is immediately approximated to 0, or when A<<B, A is not calculated and is immediately approximated to 0. In this case, the same method can be used. or calculate.

Furthermore, the electronic device 110 can confirm the representative value corresponding to the estimated 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. First, when 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 acquisition time can be determined as The reason for this is that, as described above with respect to the diagrammatic symbols 413 and 425 in FIG. 4 , even if the preparation of the first item is completed, the first item cannot be obtained and delivered before the delivery person arrives at the store. Even if the delivery person arrives at the store, the first item cannot be obtained and delivered before the preparation of the first item is completed.

Thereafter, the time interval d of the representative value corresponding to the estimated delivery completion time from the time of ordering the first item to the time of delivery completion can be calculated by adding the representative value c of the third time information to the time of item acquisition, which can be the same as the following formula 2.

[Formula 2]

The electronic device 110 can confirm the representative value corresponding to the estimated delivery completion time by calculating d from the ordering time of the first item.

According to the above description, the confirmation of the delivery completion prediction time of one embodiment of the present invention can be completed. As a specific example of its application, when an order is placed at 15:00, when the first time information is (20 minutes, 5 minutes), the second time information is (25 minutes, 10 minutes) and the third time information is (10 minutes, 3 minutes), the length of the time segment information corresponding to the delivery completion prediction time according to Formula 1 is , so it is calculated as According to formula 2, the time interval of the representative value corresponding to the delivery completion prediction time is , so it can be calculated as 35. As a result, the estimated delivery completion time can be calculated as (15:35, ).

FIG. 6 is a diagram showing an example of the structure of an electronic device for processing delivery information according to an embodiment.

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

The processor 620 may include at least one device described above through Figures 1 to 5, or execute at least one method described above through Figures 1 to 5. The memory 630 may store information for executing at least one method described above through Figures 1 to 5. The memory 630 may be a volatile memory or a non-volatile memory.

The processor 620 may control the electronic device 110 for executing programs and providing information. The code of the program executed by the processor 620 may be stored in the memory 630.

In addition, the electronic device 110 of one embodiment may further include an interface that can provide information to an administrator or the like.

On the other hand, in this specification and drawings, the preferred embodiments of the present invention are disclosed. Although specific terms are used, they are only used in the general sense to easily explain the technical content of the present invention and facilitate understanding of the invention, and are not intended to limit the scope of the present invention. In addition to the embodiments disclosed here, the industry should understand that other variations based on the technical ideas of the present invention can be implemented.

The device or terminal of the above embodiment may include a processor, a memory for storing program data and executing, a permanent storage such as a disk drive, a communication port for communicating with external devices, a user interface device such as a touch panel, a key, a button, etc. The software module or the method implemented by the algorithm may be stored in a computer-readable recording medium as a computer-readable code or program command executed on the above processor. Here, as a computer-readable recording medium, there are magnetic storage media (e.g., read-only memory (ROM), random-access memory (RAM), floppy disk, hard disk, etc.) and optical reading media (e.g., read-only compact disc (CD-ROM), digital versatile disc (DVD)), etc. The computer-readable recording medium is distributed to computer systems connected by a network, so that computer-readable codes can be stored and implemented in a distributed manner. The medium can be read by a computer, stored in a memory, and implemented in a processor.

The present embodiment may be expressed as a functional block structure and various processing steps. Such functional blocks can be implemented with various numbers of hardware and/or software structures that perform specific functions. For example, the embodiment may be implemented using integrated circuit structures such as memory, processing, logic, look-up tables, etc. that are controlled by one or more microprocessors or other control devices to perform various functions. Similar to the components that can be implemented using software programming or software elements, the present embodiment may include various algorithms implemented by a combination of data structures, processes, routines, or other programming structures, thereby implementing them using programming or scripting languages such as C, C++, Java, assembler, Python, etc. Functionality can be implemented using algorithms implemented in one or more processors. In addition, the present embodiment can use prior art for electronic environment settings, signal processing, and/or data processing. Terms such as "mechanism", "element", "mechanism", and "structure" can be used broadly and are not limited to mechanical and physical structures. The above terms can include the meaning of a series of processes (routines) of software connected to a processor, etc.

The above embodiment is only an example, and other embodiments may be implemented within the scope of the invention application described below.

110: Electronic device 120: User's device 130: Delivery person's device 210: Obtaining user's order information for the first item 220: Obtaining the first time information obtained by estimating the time required for the first item to become deliverable after the first item is ordered 230: Obtaining the second time information obtained by estimating the time required for the delivery person to obtain the first item 240: Obtaining the third time information obtained by estimating the time required for the delivery person to complete the delivery of the first item after obtaining the first item 250: Confirming the estimated time of completion of the delivery of the first item 400: An example of a method of obtaining the first time information and the second time information 401: Approval by the manager 410: Time required to prepare the first item 411: Time required to cook food 412: First time information 413: Waiting time at the store 420: Time required for the deliveryman to obtain the first item 421: Time required for the replacement deliveryman to confirm that he can handle the delivery 422: Time required for the replacement deliveryman to confirm whether to handle the delivery 423: The total time required for the deliveryman to handle the previous business and the time required for the deliveryman to move to the store to prepare the first item 425: Waiting time of the deliveryman 510: Process of obtaining the first time information 520: Process of obtaining the second time information 530: Time required for the deliveryman to complete the delivery of the first item 610: Transceiver 620: Processor 630: Memory T1 travel: the time it takes for the deliveryman to handle the previous business T2 travel: the time it takes for the deliveryman to handle the previous business T1 nearby: the time it takes for the deliveryman to move to the store where the first item is prepared T2 nearby: the time it takes for the deliveryman to move to the delivery destination of the first item

FIG. 1 is a schematic diagram showing a system for processing delivery information in an embodiment. FIG. 2 is a flowchart of a method for processing information by an electronic device in an embodiment. FIG. 3 is a diagram for illustrating the first time information, the second time information, and the third time information in an embodiment. FIG. 4 is a diagram for specifically illustrating an example of a method for obtaining the first time information and the second time information in an embodiment. FIG. 5 is a diagram for specifically illustrating an example of a method for confirming the estimated time of delivery completion of the first item in an embodiment. FIG. 6 is an example diagram of the structure of an electronic device for processing delivery information in an embodiment.

210: Obtain the user's order information for the first item

220: Obtain the first time information obtained by predicting the time required for the first item to become deliverable after the first item is ordered

230: Obtain the second time information obtained by predicting the time required for the delivery person to obtain the first item

240: Obtain the third time information obtained by predicting the time required for the deliveryman to complete the delivery of the first item after receiving the first item.

250: Calculate the estimated time of delivery completion of item 1

Claims (15)

A method for processing delivery information, which processes delivery information in an electronic device, includes the following steps: Obtaining user order information for a first item; Obtaining first time information, the first time information is obtained by predicting the time required for the first item to become deliverable after the user orders the first item; Obtaining second time information, the second time information is obtained by predicting the time required for the delivery person to obtain the first item after the user orders the first item; Obtaining third time information, the third time information is obtained by predicting the time required for the delivery person to complete the delivery of the first item after obtaining the first item; and Based on the first time information, the second time information and the third time information, confirming the predicted time of completion of delivery of the first item. A method for processing delivery information as recited in claim 1, wherein at least one of the first time information, the second time information, and the third time information includes time period information corresponding to a predicted result of a required time. A method for processing delivery information as claimed in claim 2, wherein the time period information includes a time range having a prediction reliability above a set level. A method for processing delivery information as claimed in claim 3, wherein the electronic device obtains a time range with a prediction reliability above the set level based on a normal distribution. The method for processing delivery information as in claim 2, wherein the step of confirming the predicted delivery completion time includes the following steps: Based on at least one of the length of the first time period information included in the first time information, the length of the second time period information included in the second time information, and the length of the third time period information included in the third time information, confirm the length of the time period information corresponding to the predicted delivery completion time. A method for processing delivery information as claimed in claim 5, wherein the electronic device calculates the length of the time period information corresponding to the delivery completion prediction time based on the following formula 1, wherein A is the length value of the first time period information, B is the length value of the second time period information, C is the length value of the third time period information, and D is the length of the time period information corresponding to the delivery completion prediction time, [Formula 1] . The method for processing delivery information as in claim 1, wherein the step of confirming the predicted delivery completion time includes the following steps: 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, confirm the representative value corresponding to the predicted delivery completion time. A method for processing delivery information as claimed in claim 7, wherein the electronic device calculates a representative value corresponding to the predicted delivery completion time based on the following formula 2, wherein a is a representative value included in the first time information, 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 a time interval from the time when the user orders the first item to the representative value corresponding to the predicted delivery completion time, [Formula 2] . In the method for processing delivery information as in claim 1, the step of obtaining the first time information includes the following steps: Based on the history of the time required to prepare items, predict the time required for the first item to become deliverable. The method for processing delivery information as in claim 1, wherein the step of obtaining the second time information includes at least one of the following steps: Predicting and determining the time required for the delivery person to deliver the first item; and Predicting and determining the time required for the delivery person to deliver the first item to arrive at the pickup location of the first item. In the method for processing delivery information as in claim 1, the step of obtaining the third time information includes the following steps: Based on the history of the time required for the delivery personnel to deliver items and whether there are other delivery tasks that the delivery personnel need to handle before delivering the first item, the time required to complete the delivery of the first item is predicted. A method for processing delivery information as claimed in claim 1, wherein the electronic device obtains at least one of the first time information, the second time information and the third time information based on a machine learning model. The method for processing delivery information as in claim 1 further comprises: The step of providing information including the result of confirming the predicted time of completion of delivery of the above-mentioned first item to the above-mentioned user's device; The above-mentioned user's device displays a user interface including the result of confirming the predicted time of completion of delivery of the above-mentioned first item. A non-transitory computer-readable recording medium records a program for executing the method of claim 1 in a computer. An electronic device for processing delivery information includes a transceiver, a memory for storing commands, and a processor. The processor is connected to the transceiver and the memory, thereby obtaining the user's order information for the first item, obtaining the first time information obtained by predicting the time required for the first item to become deliverable after the user orders the first item, obtaining the second time information obtained by predicting the time required for the delivery person to obtain the first item after the user orders the first item, and obtaining the third time information obtained by predicting the time required for the delivery person to complete the delivery of the first item after obtaining the first item, Based on the above-mentioned first time information, the above-mentioned second time information and the above-mentioned third time information, the estimated time of delivery completion of the above-mentioned first item is confirmed.