TWI897071B - Operating method for electronic apparatus for providing information and electronic apparatus supporting thereof - Google Patents

Abstract

According to the present invention, a method for providing information via an electronic device is disclosed, the method comprising the following steps: confirming one or more order allocation algorithms for allocating orders to delivery personnel, the orders being obtained from a service provided by the electronic device; setting information for an order allocation simulation scenario for simulating and testing an order allocation algorithm included in the one or more order allocation algorithms; and providing information on simulation implementation results of applying the order allocation algorithm to the order allocation simulation scenario; the information on the order allocation simulation scenario includes information on a virtual delivery person configured to implement the order allocation simulation scenario based on the order allocation algorithm.

Description

Operation method of electronic device for providing information and electronic device supporting the same

The present invention relates to a method and apparatus for providing information, and more particularly, to a method and electronic apparatus for providing information on the results of executing an order distribution simulation scenario, wherein the order distribution simulation scenario includes a virtual delivery person configured to have the same behavior pattern as an actual delivery person.

With the development of electronic technology, e-commerce has become a major player in the shopping world. Customers can purchase items online without having to visit a shopping mall or market in person, and items purchased online will be delivered to the customer's requested delivery location.

For e-commerce, providing detailed and accurate product information has a significant impact on service satisfaction. Therefore, the industry is discussing various solutions to provide more detailed and accurate information.

For related content, please refer to previous literature such as KR101756594B1 or KR101500849B1.

[Identify the problem you want to solve]

According to the method of the present invention, an electronic device can provide result information of executing an order distribution simulation scenario, wherein the order distribution simulation scenario includes a virtual delivery person configured in a manner having the same behavior pattern as an actual delivery person.

The technical problems to be solved by this invention are not limited to those mentioned above. Those skilled in the art will be able to clearly understand other technical problems not mentioned above based on the following description. [Technical Means for Solving the Problem]

Various embodiments may provide an operating method of an electronic device for providing information and an electronic device supporting the same.

Various embodiments of the method for providing information via an electronic device may include the following steps: confirming one or more order allocation algorithms for allocating orders to delivery personnel, the orders being obtained from the service provided by the electronic device; setting information for an order allocation simulation scenario for simulating and testing the order allocation algorithms included in the one or more order allocation algorithms; and providing simulation implementation result information of applying the order allocation algorithm to the order allocation simulation scenario; the information of the order allocation simulation scenario includes information of a virtual delivery person set up in a manner to implement the order allocation simulation scenario based on the order allocation algorithm.

In an exemplary embodiment, the information of the order allocation simulation scenario may include: information of a specific date in the past and a specific time period of the specific date used to simulate and test the order allocation algorithm, and information of a specific region used to simulate and test the order allocation algorithm.

In an exemplary embodiment, the information of the order allocation simulation scenario may include information of a plurality of orders actually obtained in the service within the specific time period on the specific date and targeting the specific region.

In an exemplary embodiment, the order allocation simulation scenario may be implemented by allocating the plurality of orders to the virtual delivery personnel according to the order allocation algorithm.

In an exemplary embodiment, the information of the virtual delivery person may be set based on the information of an actual delivery person who has actually performed delivery business in the specific area during the specific time period on the specific date.

In an exemplary embodiment, the first virtual deliveryman included in the above-mentioned virtual deliveryman can be set in a manner corresponding to the first actual deliveryman included in the above-mentioned actual deliveryman, and the information of the above-mentioned first virtual deliveryman included in the above-mentioned virtual deliveryman information is set based on the first deliveryman behavior information confirmed by the above-mentioned first actual deliveryman performing delivery business on the above-mentioned service.

In an exemplary embodiment, the first delivery person behavior information may be set based on the behavior data obtained when the first actual delivery person performs delivery business on the service during a fixed period before the specific date.

In an exemplary embodiment, the behavioral data may include data related to the delivery speed of the first actual delivery person performing the delivery business on the service.

In an exemplary embodiment, the behavioral data may include data related to the business habits of the first actual delivery person while performing delivery business on the service, and the data related to the business habits may include data related to the movement and rest of the first actual delivery person.

In an exemplary embodiment, the behavioral data may include data related to the characteristics of the delivery business preferred by the first actual delivery person for the delivery business on the service, and the data related to the characteristics of the delivery business include data on the first actual delivery person's preferred stores, price ranges, and delivery distances.

In an exemplary embodiment, the behavioral data may include data on the maximum number of delivery operations performed by the first actual delivery person on the service within the specific time period.

In an exemplary embodiment, the above-mentioned information providing method may further include the following steps: obtaining each simulation implementation result information of applying each order allocation algorithm included in the above-mentioned one or more order allocation algorithms to the above-mentioned order allocation simulation scenario; obtaining comparison information obtained by comparing the above-mentioned each simulation implementation result information; and based on the above-mentioned comparison information, determining the most suitable order allocation algorithm for the specific region where the above-mentioned order allocation simulation scenario has been implemented.

In an exemplary embodiment, the information providing method may further include the following step: configuring so that orders received in the specific region on the service are distributed according to one of the determined order distribution algorithms.

In an exemplary embodiment, the simulation execution result information and the comparison information may be updated at a fixed period, and the order allocation algorithm is determined for the specific region by updating at the fixed period.

The electronic device for providing information in various embodiments may include: a processor; and one or more memories storing one or more instructions; when executing the one or more instructions, controlling the processor to make the processor perform the following steps: confirming one or more order allocation algorithms for allocating orders to delivery personnel, wherein the orders are allocated to the delivery personnel in the electronic device; The invention provides information obtained from providing services; information on setting up an order allocation simulation scenario for simulating and testing the order allocation algorithm, including one or more of the above-mentioned order allocation algorithms; and providing information on simulation results of applying the above-mentioned order allocation algorithm to the above-mentioned order allocation simulation scenario; the information on the above-mentioned order allocation simulation scenario includes information on a virtual delivery person configured to implement the above-mentioned order allocation simulation scenario based on the above-mentioned order allocation algorithm.

The various embodiments of the present invention described above are merely some of the preferred embodiments of the present invention. Those skilled in the art can, based on the detailed description below, infer and understand numerous embodiments reflecting the technical features of the various embodiments of the present invention. [Effects of the Invention]

The present invention discloses a method for an electronic device to provide result information of an order allocation simulation scenario. The order allocation simulation scenario includes a virtual delivery person configured to have the same behavior pattern as an actual delivery person. The method has the technical effect of improving the accuracy of the simulation performed according to the order allocation algorithm.

The effects of the present invention are not limited to the effects mentioned above. A person skilled in the art can clearly understand other effects not mentioned based on the following description.

The following embodiments combine the components and features of various embodiments into specific configurations. Unless explicitly stated otherwise, each component or feature is considered optional. Each component or feature may be implemented without being combined with other components or features. Furthermore, various embodiments may be constructed by combining only some components and features. The order of actions described in the various embodiments may be varied. Some components or features of one embodiment may be included in other embodiments, or may be interchanged with corresponding components or features of other embodiments.

In the description of the accompanying drawings, no procedures or steps are described that would obscure the gist of the various embodiments, nor are any procedures or steps described that are understandable to a person skilled in the art.

When it is mentioned throughout the specification that a certain part "comprising or including" a certain constituent element, it means that other constituent elements are not excluded unless there is a specific statement to the contrary, and other constituent elements may be further included. In addition, the terms "...part", "...device", "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, software, or a combination of hardware and software. In addition, in the context of describing various embodiments (especially, in the scope of the invention application below), unless otherwise indicated in this specification or clearly contradicted in the context, "a (or an)", "one (one)", "the (the)" and similar related words can be used to include both single and plural meanings.

Hereinafter, with reference to the accompanying drawings, preferred embodiments of the present invention will be described in detail. The detailed description disclosed below along with the accompanying drawings is intended to illustrate exemplary embodiments of the present invention and is not intended to represent the only embodiment.

Furthermore, specific terms used in various embodiments are provided to help understand the various embodiments, and the use of such specific terms may be changed into other forms without departing from the technical ideas of the various embodiments.

FIG1 is a diagram of an information providing system for illustrating various embodiments of an operation method of an electronic device for providing information.

1 , the information provision systems of various embodiments can be implemented in various types of electronic devices. For example, the information provision system can be implemented in a server device 100 and a user device 200. In other words, the server device 100 and the user device 200 can implement the actions of the various embodiments of the present invention based on the information provision system implemented in each device. As an example, in various embodiments of the present invention, the server device 100 can provide the user device 200 corresponding to the management personnel with simulation result information of applying an order allocation algorithm to an order allocation simulation scenario. On the other hand, the information provision systems of various embodiments can also be implemented in various electronic devices and servers, and are not limited to those shown in FIG. 1 above.

The server device 100 of various embodiments implements wired and wireless communication with a plurality of user devices 200 and may be a device including a storage device with a large unit storage capacity. For example, the server device 100 may be a cloud device connected to a plurality of user devices 200.

The user equipment 200 of various embodiments can be a device available to a personal user, such as a desktop computer, a tablet computer, a mobile terminal, etc. In addition, other electronic devices that perform similar functions can also be used as the user equipment 200.

The information provision system of various embodiments may include various modules for performing operations. The modules included in the information provision system may be computer code or one or more instructions that are implemented in a manner that enables a physical device (e.g., server device 100 and user device 200) that implements the information provision system (or included in the physical device) to perform a specified operation. In other words, the physical device that implements the information provision system stores multiple modules in the form of computer code in memory. When the multiple modules stored in the memory are executed, the multiple modules can cause the physical device to perform the specified operations corresponding to the multiple modules.

FIG2 is a diagram showing the configuration of a server device 100 and a user device 200 according to various embodiments.

2 , the server device 100 and the user device 200 may include an input/output unit 210 , a transceiver (or a communication unit) 220 , a memory 230 , and a processor 240 .

The input/output unit 210 can be any interface or port for receiving user input or outputting information to the user. The input/output unit 210 can include an input module and an output module. The input module receives user input. User input can be implemented in various forms, including keystroke input, touch input, and voice input. Examples of input modules that can receive such user input include not only traditional keypads or keyboards, and mice, but also touch sensors that sense user touch, microphones that receive voice signals, cameras that recognize gestures through image recognition, proximity sensors that sense user approach including at least one of an illumination sensor or an infrared sensor, motion sensors that recognize user movements through accelerometers or gyroscope sensors, and various types of input mechanisms that sense or receive user input in various other forms. The input module of an embodiment of the present invention may include at least one of the devices listed above. Here, the touch sensor can be implemented as a piezoelectric or electrostatic touch sensor that senses touch via a touch panel or touch film attached to a display panel, or an optical touch sensor that senses touch optically. In addition, the input module can also be implemented in the form of an input interface (USB (Universal Serial Bus) port, PS/2 port, etc.) connected to an external input device that receives user input, rather than in the form of a device that itself senses user input. In addition, the output module can output various information. The output module may include at least one of a display that outputs images, a speaker that outputs sound, a tactile device that generates vibration, and other various forms of output mechanisms. In addition, the output module can also be implemented in the form of a port-type output interface connected to the above-mentioned individual output mechanisms.

For example, an output module in the form of a display can display text, static images, or video. Displays may include at least one of a liquid crystal display (LCD), a light emitting diode (LED) display, an organic light emitting diode (OLED) display, a flat panel display (FPD), a transparent display, a curved display, a flexible display, a 3D display, a holographic display, a projector, and other devices capable of outputting images. Such a display may also be a touch display integrated with the touch sensor of the input module.

The transceiver 220 can communicate with other devices. Therefore, the server device 100 and the user device 200 can transmit and receive information with other devices via the transceiver 220. For example, the server device 100 and the user device 200 can use the transceiver 220 to communicate with each other or with other devices.

Here, communication, i.e., the transmission and reception of data, can be achieved via wired or wireless communication. To this end, the transceiver 220 may include: a wired communication module connected to the Internet via a LAN (Local Area Network), a mobile communication module connected to a mobile communication network via a mobile communication base station to transmit and receive data, a short-range communication module utilizing a WLAN (Wireless Local Area Network) series communication method such as Wi-Fi or a WPAN (Wireless Personal Area Network) series communication method such as Bluetooth or Zigbee, a satellite communication module utilizing a GNSS (Global Navigation Satellite System) such as GPS (Global Positioning System), or a combination thereof.

Memory 230 can store various types of information. Memory 230 can store data temporarily or semi-permanently. For example, memory 230 of server device 100 can store the operating system (OS) used to drive server device 100, data used to host a website, or data used to generate Braille programs or applications (e.g., web applications). Furthermore, memory 230 can store modules in the form of computer code, as described above.

Examples of the memory 230 may include a hard disk drive (HDD), a solid state drive (SSD), a flash memory, a read-only memory (ROM), a random access memory (RAM), etc. Such memory 230 may be provided as a built-in or removable type.

Processor 240 controls the overall operation of server device 100 and user device 200. To this end, processor 240 can perform various data calculations and processing, and control the operation of the components of server device 100. For example, processor 240 can execute programs or applications that provide information. Processor 240 can be implemented as a computer or similar device through hardware, software, or a combination thereof. In terms of hardware, processor 240 can be implemented in the form of an electronic circuit that processes electrical signals to perform control functions. In terms of software, it can be implemented in the form of a program that drives the hardware processor 240. On the other hand, unless otherwise specified in the following description, it can be interpreted that the actions of the server device 100 and the user device 200 are performed under the control of the processor 240. That is, when executing the modules implemented in the above-mentioned information provision system, the modules can be interpreted as the processor 240 controlling the server device 100 and the user device 200 to perform the following actions.

In summary, various embodiments can be implemented by various mechanisms. For example, various embodiments can be implemented by hardware, firmware, software, or a combination thereof.

In the case of hardware implementation, the methods of various embodiments may be implemented by one or more ASICs (application specific integrated circuits), DSPs (digital signal processors), DSPDs (digital signal processing devices), PLDs (programmable logic devices), FPGAs (field programmable gate arrays), processors, controllers, microcontrollers, microprocessors, etc.

When implemented via firmware or software, the methods of various embodiments may be implemented in the form of modules, procedures, or functions that implement the functions or actions described below. For example, the software code may be stored in memory and driven by a processor. The memory may be located internally or externally to the processor and may exchange data with the processor through various well-known mechanisms.

The following describes various embodiments in more detail based on the above technical concepts. The various embodiments described below can be applied to the content described above. For example, actions, functions, and terms not defined in the various embodiments described below can be implemented and described based on the content described above.

In the following description, various embodiments are described based on the premise that the server device 100 implements the provision of simulation implementation result information by applying the order allocation algorithm to the order allocation simulation scenario. According to various embodiments, the user device 200 for service management personnel can output and provide the simulation implementation result information received from the server device 100.

FIG3 is a diagram illustrating an operation method of the server device 100 for providing information according to various embodiments.

3 , the server device 100 can identify one or more order allocation algorithms (301) for allocating orders received for services to delivery personnel, set information (303) for simulating and testing the order allocation algorithms included in the one or more order allocation algorithms, and provide simulation implementation result information (305) for applying the order allocation algorithms to the order allocation simulation scenarios. In FIG3 , the information of the order allocation simulation scenarios set by the server device 100 can include information of virtual delivery personnel configured to implement the order allocation simulation scenarios based on the order allocation algorithms.

3 , the action of the server device 100 providing simulation implementation result information may be performed on the service provided by the server device 100 or on a service related to the server device 100. Hereinafter, the service related to the server device 100 may be equivalent to a delivery intermediary service for intermediating delivery orders between various stores stationed in the service and a plurality of users utilizing the service.

Through the delivery intermediary service provided by server device 100, multiple users can enter orders for items through stores within the corresponding service. The store can confirm the orders entered through the corresponding service and prepare the ordered items accordingly. After the store completes the preparation of the ordered items, it enters a delivery request within the corresponding service. Once the delivery request is confirmed, the delivery person will go to the store to pick up the items and then deliver them to the user's address information.

According to various embodiments, in action 301, the server device 100 may identify one or more order allocation algorithms for allocating orders received for services to couriers.

For example, the one or more order allocation algorithms confirmed by the server device 100 through action 301 may be equivalent to an algorithm for automatically allocating orders received from a service to a delivery person.

For example, the one or more order allocation algorithms identified by server device 100 in action 301 may be algorithms configured for the service provided by server device 100. Orders received for the service may be allocated to delivery personnel using at least one of the one or more order allocation algorithms configured for the service. In this case, management may be performed such that the order allocation algorithm used for actual order allocation among the one or more configured order allocation algorithms is configured to vary based on date, time period, region, etc.

According to various embodiments, in action 303, the server device 100 may set information for simulating an order allocation simulation scenario for testing one or more order allocation algorithms.

For example, the information for the order allocation simulation scenario configured by server device 100 in action 303 may include information about a specific date in the past and a specific time period of the specific date used to simulate and test the order allocation algorithm, and information about a specific region used to simulate and test the order allocation algorithm. In other words, various information used to configure the order allocation simulation scenario may be configured as information for the order allocation simulation scenario.

For example, the order allocation simulation scenario information configured by the server device 100 in action 303 may include, for the specific date, specific time period, and specific region used to configure the order allocation simulation scenario, information on multiple orders actually received during the specific time period on the specific date and targeting the specific region. In other words, if the specific date, specific time period, and specific region used to configure the order allocation simulation scenario are confirmed, the multiple orders actually received during the specific time period on the specific date and targeting the specific region may be used in the order allocation simulation scenario. The information about each order included in the multiple order information may include various information related to each order, such as the store receiving the order, the time the order was received, the destination to which the order was delivered, and the delivery distance. As described above, the order allocation simulation scenario implemented by server device 100 can be implemented by allocating multiple orders, whose information has actually been confirmed in the service, to virtual delivery personnel based on an order allocation algorithm.

For example, the information of the virtual delivery person included in the information of the order distribution simulation scenario set by the server device 100 through action 303 can be set based on the information of actual delivery persons who have actually performed delivery business in the specific date, specific time zone and specific region used to set the order distribution simulation scenario. That is, virtual delivery drivers can be set up in a manner that reflects information related to the delivery business or behavior of actual delivery drivers. Specifically, the first virtual delivery driver included in the virtual delivery drivers implementing the order allocation simulation scenario can be set to the first actual delivery driver included in the actual delivery drivers who actually implemented the delivery business on the specific date, specific time period, and specific region used to set up the order allocation simulation scenario. In order to reflect the information of the actual delivery personnel, management can be performed as follows: When setting the information of the first virtual delivery personnel for the order allocation simulation scenario described above, the information of the first virtual delivery personnel is set based on the first delivery personnel's behavior information confirmed by the corresponding first actual delivery personnel during the delivery business.

For example, the delivery driver behavior information of actual delivery drivers identified during the process of setting up virtual delivery driver information for an order allocation simulation scenario may be based on the actual delivery driver's behavior data obtained while performing delivery tasks on the service during a fixed period prior to the specific date used in the order allocation simulation scenario. In other words, the actual delivery driver's behavior information may reflect the behavior data available from the actual delivery driver during the fixed period prior to the specific date used in the order allocation simulation scenario. If the specific date used for the order allocation simulation scenario is set differently, the fixed period before the specific date used to collect behavioral data will also be different. Therefore, the actual delivery driver's behavioral data reflected on the virtual delivery driver and the corresponding virtual delivery driver's behavioral pattern may also be different.

For example, the behavioral data of a real delivery person corresponding to a virtual delivery person used to perform an order distribution simulation scenario may include data related to the delivery speed at which the real delivery person performs delivery services. In other words, data on the delivery speed at which the real delivery person actually performs delivery services can be used to configure the behavioral data of the real delivery person for the virtual delivery person.

For example, the behavioral data of the actual delivery person corresponding to the virtual delivery person used to implement the order distribution simulation scenario may include data related to the actual delivery person's business habits as they perform delivery tasks. In other words, the business habits data of the actual delivery person as they perform delivery tasks can be used to configure the behavioral data of the actual delivery person for the virtual delivery person. Such business habit data may include data related to the actual delivery person's movements, standby times, and/or rest periods.

For example, the behavioral data of a real delivery person corresponding to a virtual delivery person used to perform an order allocation simulation may include data related to the delivery business characteristics preferred by the real delivery person. Specifically, data related to delivery business preferences expressed by the real delivery person during actual delivery operations can be used to configure the behavioral data of the real delivery person for the virtual delivery person. Such data on delivery business characteristics may include data such as the real delivery person's preferred stores, price ranges, and/or delivery distances.

For example, the behavioral data of a real delivery person corresponding to a virtual delivery person used to perform an order allocation simulation scenario may include data on the maximum number of deliveries that the real delivery person performed during a specific time period used for the order allocation simulation scenario. In other words, the data on the maximum number of deliveries that the real delivery person actually performed during a specific time period can be used to set the real delivery person's behavioral data for the virtual delivery person. This maximum number of deliveries can be reflected as the maximum number of deliveries that the virtual delivery person corresponding to the real delivery person can handle during the specific time period.

According to various embodiments, in action 305, the server device 100 may provide simulation execution result information of applying the order allocation algorithm to the order allocation simulation scenario.

For example, the simulation implementation result information provided by the server device 100 through action 305 for applying the order allocation algorithm to the order allocation simulation scenario may include the following analysis result information for the order allocation simulation scenario including multiple orders obtained on a specific date, a specific time period, and a specific region in the past: to what extent order allocation can be efficiently implemented when a specific order allocation algorithm is applied.

For example, for a specific region included in an order allocation simulation scenario, the server device 100 may apply one or more order allocation algorithms identified as applicable to the service in action 301 to each order allocation simulation scenario, and compare the result information thereof, as shown in FIG4 , to determine the most suitable order allocation algorithm for the specific region.

FIG. 4 is a diagram illustrating an operation method of the server device 100 for determining the most suitable order allocation algorithm for a specific region corresponding to an order allocation simulation scenario.

The server device 100 can obtain simulation result information (401) of each order allocation algorithm implemented by applying one or more order allocation algorithms included in the order allocation algorithm confirmed by action 301 for an order allocation simulation scenario with a specific region as a setting condition.

Afterwards, the server device 100 may obtain comparison information (403) obtained by comparing each simulation execution result information, and may determine the most suitable order allocation algorithm (405) for the specific region where the order allocation simulation scenario has been executed based on the obtained comparison information.

For example, when determining an order allocation algorithm most suitable for a specific region using the method shown in FIG4 , server device 100 can be configured to allocate service orders received within the specific region according to the order allocation algorithm determined as described above. Specifically, if a specific order allocation algorithm determined to be most suitable for a specific region is identified based on an order allocation simulation scenario reflecting actual data related to past order allocations, server device 100 can be configured to apply the specific order allocation algorithm to allocate subsequent service orders received within the specific region.

The application of a specific region-specific order allocation algorithm can be configured individually for each region supporting services. Specifically, the most appropriate order allocation algorithm can be determined for each region supporting services, as shown in Figure 4. The algorithm determined to be most appropriate for each region can then be applied to actual services to allocate orders to that region.

Furthermore, to ensure that the method of determining the most suitable order allocation algorithm for each region (see Figure 4) reflects the latest data for each region, the simulation results of applying each order allocation algorithm to the order allocation simulation scenario for each region, as well as the comparison information obtained from comparing the simulation results, can be updated at a fixed period. Therefore, the order allocation algorithm determined to be most suitable for each region can be updated at a fixed period.

As can be clearly seen from FIG. 3 and FIG. 4 , during the implementation of the method in which the server device 100 provides simulation implementation result information related to order allocation, each piece of information can be combined into various forms.

The embodiments of the present invention disclosed in this specification and the accompanying drawings are provided merely as specific examples to illustrate the technical content of the present invention and facilitate understanding thereof. They are not intended to limit the scope of the present invention. That is, it will be readily apparent to those skilled in the art that other variations based on the technical principles of the present invention can be implemented. Furthermore, the above-described embodiments may be combined as needed. For example, some embodiments may be combined to implement all embodiments of the present invention as a system.

Furthermore, the methods executed by the system of the present invention can be implemented in the form of program commands and recorded in a computer-readable medium. The program commands can be executed by various computer mechanisms.

As described above, in certain aspects, various embodiments of the present invention may be implemented as computer-readable code in a computer-readable recording medium. A computer-readable recording medium is any data storage device capable of storing data that can be read by a computer system. Examples of computer-readable recording media may include read-only memory (ROM), random access memory (RAM), compact disk-read-only memory (CD-ROM), magnetic tape, floppy disk, optical data storage devices, and carrier waves (for data transmission over the Internet, etc.). The computer-readable recording medium can also be distributed among computer systems connected to a network, so that the computer-readable code can be stored and executed in a distributed manner. In addition, the functional programs, codes, and segments used to implement various embodiments of the present invention can be easily interpreted by programmers skilled in the art of applying the present invention.

Furthermore, it is understood that the devices and methods of various embodiments of the present invention can be implemented in the form of hardware, software, or a combination of hardware and software. Such software, whether erasable or rewritable, can be stored in a volatile or non-volatile storage device such as a ROM, or a RAM, memory chip, device, or integrated circuit memory, or an optically or magnetically recordable storage medium such as a compact disk (CD), DVD (Digital Versatile Disc), magnetic disk, or magnetic tape that can be read by a machine (e.g., a computer). It is understood that the methods of various embodiments of the present invention can be implemented by a computer including a control unit and a memory, or a vehicle including the memory or computer as described above. Such a memory is an example of a program including commands for implementing the embodiments of the present invention or a storage medium that can be read by a machine suitable for storing the program.

Therefore, the present invention includes a program as code for implementing the apparatus or method described in the scope of the invention application of this specification, and a storage medium readable by a machine (such as a computer) storing such a program. Furthermore, such a program can be electronically transmitted via any medium that transmits communication signals, such as using a wired or wireless connection, and the present invention appropriately includes their equivalents.

The above description has been made with reference to the embodiments of the present invention. However, the embodiments of the present invention disclosed in this specification and the accompanying drawings are merely specific examples for the purpose of illustrating the technical content of the present invention and aiding understanding of the present invention. They are not intended to limit the scope of the present invention. Furthermore, it should be understood that the embodiments of the present invention described above are merely illustrative, and those skilled in the art will be able to implement various modifications and equivalent embodiments based thereon. Therefore, the true scope of technical protection for the present invention should be defined in accordance with the scope of the invention application below.

100: Server device 200: User device 210: Input/output unit 220: Transceiver 230: Memory 240: Processor 301: Action 303: Action 305: Action 401: Obtaining simulation result information for each order allocation algorithm included in the one or more order allocation algorithms identified in action 301 403: Obtaining comparison information obtained by comparing the simulation result information 405: Determining the most suitable order allocation algorithm for the specific region for which the order allocation simulation scenario was performed based on the obtained comparison information

Figure 1 illustrates an information provision system that can implement methods for operating an electronic device for providing information, according to various embodiments. Figure 2 illustrates the configuration of server device 100 and user device 200, according to various embodiments. Figure 3 illustrates methods for operating server device 100 for providing information, according to various embodiments. Figure 4 illustrates methods for operating server device 100 to determine the most appropriate order allocation algorithm for a specific region corresponding to an order allocation simulation scenario.

301:Action

303:Action

305:Action

Claims (12)

An information provision method, performed by an electronic device, includes the following steps: confirming one or more order allocation algorithms for allocating orders to delivery personnel, the orders being obtained through a service provided by the electronic device; setting information for an order allocation simulation scenario for simulating and testing an order allocation algorithm included in the one or more order allocation algorithms; and providing information on simulation implementation results of applying the order allocation algorithm to the order allocation simulation scenario; the information on the order allocation simulation scenario includes information on a virtual delivery person configured to implement the order allocation simulation scenario based on the order allocation algorithm. The method further includes: obtaining comparison information for each region where the service is provided, wherein the comparison information is information on simulation results of each order allocation algorithm executed by applying the one or more order allocation algorithms and regional order allocation simulation scenarios corresponding to the regions; and configuring one of the one or more order allocation algorithms that is determined to be most suitable for the regions based on the comparison information so that it is applied to each region. The regions; wherein an update of a first order allocation algorithm determined to be most suitable for providing the above-mentioned service in a first region and a second order allocation algorithm determined to be most suitable for providing the above-mentioned service in a second region are performed based on a specific cycle configured for the above-mentioned first region and the above-mentioned second region, respectively; and wherein the regional order allocation simulation scenario is configured based on past actual order allocation data, and the actual order allocation data is determined region-specifically for each region. The information providing method of claim 1, wherein the information of the order allocation simulation scenario includes: information of a specific date in the past and a specific time period of the specific date used to simulate and test the order allocation algorithm, and information of a specific region used to simulate and test the order allocation algorithm. The information providing method of claim 2, wherein the information of the order allocation simulation scenario includes information on multiple orders actually obtained in the service within the specific time period on the specific date and targeting the specific region. The information providing method of claim 3, wherein the order allocation simulation scenario is implemented by allocating the plurality of orders to the virtual delivery personnel according to the order allocation algorithm. The information providing method of claim 2, wherein the information of the virtual delivery person is set based on the information of an actual delivery person, and the actual delivery person is a person who actually performed delivery business in the specific area during the specific time period on the specific date. The information providing method of claim 5, wherein the first virtual deliveryman included in the virtual deliveryman is set in a manner corresponding to the first actual deliveryman included in the actual deliveryman, and the information of the first virtual deliveryman included in the information of the virtual deliveryman is set based on the behavioral information of the first deliveryman confirmed by the first actual deliveryman performing delivery business on the service. The information provision method of claim 6, wherein the behavioral information of the first delivery person is set based on the behavioral data obtained by the first actual delivery person while performing delivery business on the service during a fixed period before the specific date. The information provision method of claim 7, wherein the behavioral data includes data related to the delivery speed of the first actual delivery person performing delivery operations on the service. The information provision method of claim 7, wherein the behavioral data includes data related to the business habits of the first actual delivery person as determined when performing delivery operations on the service, and the data related to the business habits includes data related to the movement and rest of the first actual delivery person. The information provision method of claim 7, wherein the behavioral data includes data related to the characteristics of the delivery business preferred by the first actual delivery person with respect to the delivery business on the service, and the data related to the characteristics of the delivery business includes data on the first actual delivery person's preferred stores, price ranges, and delivery distances. The information provision method of claim 7, wherein the behavioral data includes data on the maximum number of delivery operations performed by the first actual delivery person on the service during the specific time period. An electronic device that provides information, comprising: a processor; and one or more memories storing one or more instructions; when executing the one or more instructions, controlling the processor to perform the following steps: confirming one or more order allocation algorithms for allocating orders to delivery personnel, the orders being obtained from the services provided by the electronic device; setting a simulation test for the one or more order allocation algorithms; and providing information on simulation results of applying the above-mentioned order allocation algorithm to the above-mentioned order allocation simulation scenario; the information on the above-mentioned order allocation simulation scenario includes information on virtual delivery personnel set up in a manner of implementing the above-mentioned order allocation simulation scenario based on the above-mentioned order allocation algorithm, wherein the above-mentioned processor further implements the following steps: obtaining comparison information for each region where the above-mentioned service is provided, The comparison information is the information of each simulation result executed by applying each order allocation algorithm included in the above-mentioned one or more order allocation algorithms, and the regional order allocation simulation scenario corresponding to the above-mentioned regions; and based on the above-mentioned comparison information, one of the above-mentioned one or more order allocation algorithms determined to be most suitable for the above-mentioned regions is configured to be applied to the above-mentioned regions respectively; and wherein, the order allocation algorithm determined to be most suitable for the above-mentioned regions is configured to be applied to the above-mentioned regions respectively; An update of a first order allocation algorithm for a first region providing the above-mentioned service and a second order allocation algorithm determined to be most suitable for a second region providing the above-mentioned service are performed based on a specific cycle configured for the above-mentioned first region and the above-mentioned second region, respectively; and wherein the regional order allocation simulation scenario is configured based on past actual order allocation data, and the actual order allocation data is determined region-specifically for each region.