TW202343326A - Operating method for electronic apparatus for providing information on delivery demand adjustment and electronic apparatus supporting thereof - Google Patents

Abstract

Disclosed is a method of providing information on a delivery demand adjustment in an electronic apparatus, the method including identifying a plurality of delivery orders acquired on a service related to the electronic apparatus, acquiring information on a latency in allocating a delivery agent for the plurality of delivery orders and information on a delivery completion time in which processing of each delivery order included in the plurality of delivery orders is completed, determining whether a delivery demand is adjusted on the service based on the information on the latency and the information on the delivery completion time, and providing information on a delivery demand adjustment based on whether the delivery demand is adjusted.

Description

Operating method of electronic equipment for providing information on distribution demand adjustment and electronic equipment supporting the method

The present invention relates to a method and apparatus for providing information about a delivery demand adjustment, and more particularly, the present invention relates to a method and apparatus for providing information about a delivery demand adjustment when a delivery demand is adjusted on a service. Method and electronic equipment thereof.

With the development of electronic technology, e-commerce has become a shopping field. Customers can purchase items online without having to visit malls or markets in person. Items purchased online are shipped to the shipping destination requested by the customer.

In the context of e-commerce, providing detailed and accurate information about items has a significant impact on customer service satisfaction within a service. Therefore, various methods for providing more detailed and accurate information to customers are being discussed.

In this regard, relevant documents such as KR101756594B1, KR101500849B1 and the like are incorporated by reference.

[Technical Target]

According to a method of the present invention, when a delivery demand adjustment is performed on a service, information about the delivery demand adjustment can be provided.

The technical objectives to be achieved in the present invention are not limited to the above-mentioned technical objectives, and those skilled in the art will clearly understand other technical objectives not mentioned herein from the following description. [Technical solutions]

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

According to various example embodiments, a method of providing information about a delivery demand adjustment in an electronic device is provided, the method comprising: identifying a plurality of delivery orders obtained on a service related to the electronic device; obtaining information about the Information about the delay in assigning a delivery agent to a plurality of delivery orders and information about the delivery completion time for completing the processing of each delivery order included in the plurality of delivery orders; based on the information about the delay and about the delivery completion The information of time is used to determine whether to adjust a delivery demand on the service; and to provide information about a delivery demand adjustment based on whether to adjust the delivery demand.

The plurality of delivery orders may include one delivery order available in a predetermined area identified as available for delivery through the service.

A first delay in assigning a delivery agent to a first delivery order included in the plurality of delivery orders may be based on a time from obtaining a delivery agent assignment request from a store on the service corresponding to the first delivery order. The determination is made by clicking on a time period assigned by one of the delivery agents to complete the first delivery order.

A first delivery completion time for completing one of the first delivery orders included in the plurality of delivery orders may be based on a time point from when the first delivery order is obtained on the service to when the first delivery order is processed. A delivery agent submits a delivery completion input to determine a time point and a period of time.

Determining whether to adjust the delivery demand may include: verifying whether the delay is greater than or equal to a predetermined critical time; verifying whether a proportion of the plurality of delivery orders whose delivery is completed within a predetermined delivery completion time is less than a predetermined time The threshold ratio; and when the delay is greater than or equal to the predetermined threshold time and when the ratio is less than the predetermined threshold ratio, it is determined that the distribution demand needs to be adjusted.

When the plurality of delivery orders is included in a delivery order obtained in a predetermined area identified as being deliverable through the service, the delivery demand adjustment may be performed for the predetermined area.

The distribution demand adjustment may be executed in stages based on the predetermined threshold time and the predetermined threshold ratio.

The method may further include setting a first delivery demand adjustment condition for the service when the delay is greater than or equal to a first threshold time and when the ratio is less than a first threshold ratio. The information about the distribution demand adjustment may be configured based on the first distribution demand adjustment condition.

The information regarding the delivery demand adjustment may include information configured to provide a task and a reward for one or more delivery agents in an idle state on the service.

The method may further include identifying a number of the plurality of delivery orders and a number of delivery agents processing the plurality of delivery orders and based on the number of the plurality of delivery orders and the number of delivery agents processing the plurality of delivery orders. to determine the task and the reward.

The method may further include providing notification information including information about the task and the reward to the one or more delivery agents.

When the plurality of delivery orders includes a delivery order obtained in a predetermined area identified as deliverable through the service, the one or more delivery agents may include one with a delivery task execution history corresponding to the predetermined area. Delivery Agent.

The method may further include setting a second delivery demand adjustment condition for the service when the delay is greater than or equal to a second threshold time and when the ratio is less than a second threshold ratio. The information about the distribution demand adjustment may be configured based on the second distribution demand adjustment condition. The second threshold time may be greater than the first threshold time. The second threshold ratio may be smaller than the first threshold ratio.

The information regarding the adjustment in delivery demand may include information configured to provide a notification to a user of the service regarding a delayed delivery, information configured to respond to a store search by the user of the service based on distance. The service displays store information in sequence within a short distance of the user's address information, is configured to display information on estimated delivery times based on the delay correction, and is configured to remove the display as an indication. Quick delivery of information on one of the icons present on the service.

The information regarding the adjustment to the delivery demand may include information configured to provide an estimate of the time required to assign a delivery agent for a delivery order to a store registered with the service and information configured to notify the The store registered with the Service provides a user of the Service with notification of a delay in a delivery agent assigned to process a delivery order.

The method may further include setting a third delivery demand adjustment condition for the service when the delay is greater than or equal to a third threshold time and when the ratio is less than a third threshold ratio. The information about the distribution demand adjustment may be configured based on the third distribution demand adjustment condition. The third threshold time may be greater than the second threshold time. The third threshold ratio may be smaller than the second threshold ratio.

The information regarding the adjustment to the delivery demand may include information configured to notify a user of the service of a delivery order processing status and a reason for a delayed delivery, information configured to notify a user of the service when a delivery is delayed after the elapse of a predetermined period of time. A delivery order cancellation function is provided to the user of the service when processing of the order is not completed and is configured to deliver the delivery after a predetermined period of time has elapsed since the initial notification to the user of the service of an estimated delivery time. When the order is processed, information about a compensation coupon is provided to the user of the service.

The information regarding the adjustment in shipping demand may include information configured to notify a store registered in the service to provide a notification to a user of the service regarding a delay in assigning a shipping agent to a shipping order and configured to do so. The status is used to notify the store registered in the service that a delivery agent is assigned priority to a delivery order that has a relatively long delay in assigning a delivery agent.

According to various example embodiments, an electronic device for providing information regarding a delivery demand adjustment is provided, the electronic device including a processor and one or more memories storing one or more instructions therein, wherein when executed , the one or more instructions control the processor to execute: identify a plurality of delivery orders obtained on a service related to the electronic device; obtain information about the delay of allocating a delivery agent for the plurality of delivery orders and about Complete the information on the delivery completion time of each delivery order included in the plurality of delivery orders; determine whether to adjust a delivery demand on the service based on the information about the delay and the information about the delivery completion time ; and provide information about a distribution demand adjustment based on whether the distribution demand is adjusted.

The above-described example embodiments of the present invention are only some example embodiments of the present invention. Those skilled in the art will understand that various example embodiments, which reflect the technical features of various example embodiments of the present invention, can be derived based on the following detailed description. [Effect]

The technical effect of the present invention is that it can enhance the convenience of a delivery demand management by proposing a method of providing information about a delivery demand adjustment when a delivery demand is adjusted on a service.

The effects to be achieved in the present invention are not limited to the above-mentioned effects, and those skilled in the art will clearly understand other effects not mentioned herein from the following description.

The following example embodiments are obtained by combining the constituent elements and features of various example embodiments in a predetermined form. Unless otherwise expressly stated, each component or feature may be considered optional. Each component element or feature may be defined in a manner that is not coupled to another component element or feature. Additionally, some constituent elements and features may be combined with each other to implement various example embodiments. The order of operations to be described in various example embodiments may vary. Some constituent elements or features of any of the example embodiments may be included in other example embodiments, or may be replaced with corresponding constituent elements or features of other example embodiments.

In the description of the drawings, procedures or steps that would obscure the gist of the various example embodiments and the like are not described, nor are procedures or steps that are understandable by those skilled in the art.

When a part "includes or includes" a component throughout the specification, this means that the part may further include other components, but not exclude other components, unless otherwise stated. In addition, terms such as "part," "container," "module" and the like as used herein may refer to a unit that performs at least one function or operation, which may be implemented as hardware or The software may be implemented as a combination of hardware and software. Furthermore, the terms "a," "an," "the," and similar terms may be used to include the singular or the plural unless the context describing various example embodiments (and specifically, the context of the claims) clearly dictates otherwise. form.

Various example embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The detailed description set forth below in connection with the appended drawings is intended to describe examples of various example embodiments and is not limiting thereto.

Furthermore, terms used in various example embodiments are provided to facilitate an overall understanding of various example embodiments, and the use of these specific terms may be changed to other terms without departing from the technical ideas of various example embodiments.

FIG. 1 is a diagram illustrating an information providing system for implementing an operating method of an electronic device for providing information, according to various example embodiments.

Referring to FIG. 1 , information providing systems according to various example embodiments may be implemented with various types of electronic devices. For example, the information providing system may be implemented in a server device 100 and a manager device 200 . In other words, each of the server device 100 and the manager device 200 may perform operations according to various example embodiments of the present invention based on an information providing system implemented in each device. However, the information providing system according to various example embodiments is not limited to the information providing system illustrated in FIG. 1 , but may be implemented with various other types of electronic devices and servers.

The server device 100 according to various example embodiments may be a device that performs wired and wireless communications with a plurality of manager devices 200 and includes a large capacity of storage. For example, the server device 100 may be a cloud device interlocked with a plurality of manager devices 200 .

The manager device 200 according to various example embodiments may be a device usable by a human manager or user, such as a desktop personal computer (PC), a tablet PC, a mobile terminal, or the like. Additionally, other electronic devices performing similar functions may be used as the manager device 200.

Information providing systems according to various example embodiments may include various operating modules. A module included in the information providing system may be computer code or one or more instructions that are implemented to cause a physical device (such as the server device 100 and the manager) to implement the information providing system (or included in the physical device). Means 200) performs one of the operations assigned thereto. In other words, in the physical device that implements the information providing system, a plurality of modules can be stored in a memory in the form of computer code. A plurality of modules stored in memory, when executed by a computer, can be configured to cause the physical device to perform allocation operations corresponding to the plurality of modules.

Figure 2 is a diagram illustrating the configuration of a server device and a manager device according to various example embodiments.

Referring to FIG. 2 , the server device 100 and the manager device 200 may each include an input/output part 210 , a communication part 220 , a storage 230 and a processor 240 .

The input/output part 210 may be various interfaces, various connection ports, or the like that receive input from a user or output information to the user. The input/output part 210 may include an input module and an output module. The input module receives user input from a user. User input can take various forms of input, including key input, touch input, and voice input. Examples of input modules that receive user input may include a conventional keypad or keyboard, a mouse and a touch sensor that senses a user's touch, a microphone that receives an audio signal, Image recognition to recognize a gesture or the like, a camera, a proximity sensor including at least one of an illumination sensor or an infrared sensor that senses the user's approach, through an acceleration sensor or A gyro sensor, a motion sensor that recognizes a user's movement, and an input portion that senses or inputs various forms of user input, and an input module according to an example embodiment of the present invention can Contains at least one of the above devices. Here, the touch sensor may be a piezoelectric or capacitive touch sensor that senses a touch through a touch panel or a touch film attached to a display panel, or through an optical method. A touch is implemented with an optical touch sensor or the like. In addition, the input module may be implemented in the form of an input interface (USB port, PS/2 port, or the like) connected to an external input device that receives user input, rather than being a device that senses user input itself. In addition, the output module can output various pieces of information. The output module may include at least one of a display for outputting an image, a speaker for outputting a sound, a tactile device for generating a vibration, and other various forms of output parts. In addition, the output module can also be implemented in the form of an output interface connected to the port type of the aforementioned individual output part.

As an example, an output module in the form of a display can display text, a static image, and a dynamic image. The display may include 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, and a flexible display , at least one of a three-dimensional display, a holographic display, a projector and other types of equipment capable of performing image output functions. Such a display may be in the form of a touch display integrated with the touch sensor of the input module.

The communication portion 220 can communicate with another device. Accordingly, each of the server device 100 and the manager device 200 can transmit information to or receive information from another device via the communication portion 220 . For example, the server device 100 and the manager device 200 may use the communication portion 220 to communicate with each other or with another device.

Here, communication (ie, transmission and reception of data) can be performed in a wired or wireless manner. To this end, the communication part may include a wired communication module connected to the Internet or the like via a local area network (LAN), connected to a mobile communication network via a mobile communication base station to transmit and receive data. A mobile communication module, a near field using a wireless local area network (WLAN) series communication solution such as Wireless Fidelity (Wi-Fi) or a wireless personal area network (WPAN) series communication solution such as Bluetooth or Zigbee Communication module, using a satellite communication module such as a Global Positioning System, a Global Navigation Satellite System (GNSS), or a combination thereof.

The storage 230 can store various pieces of information. Storage 230 may store data temporarily or semi-permanently. For example, an operating system (OS) used to drive the server device 100, information used to host a website, information regarding a program or application (such as a web application) used to generate braille, or the like. The information may be stored in the memory of the server device 100 . Additionally, the memory may store the module in the form of computer code, as described above.

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

The processor 240 controls the overall operations of the server device 100 and the manager device 200 . To this end, the processor 240 can perform calculations and processing of various information and control the operations of the components of the server device 100 . For example, processor 240 may execute a program or application for providing information. The processor 240 may be implemented by a computer or a similar device, depending on hardware, software, or a combination thereof. The processor 240 may be implemented in the form of an electronic circuit that processes electrical signals to perform control functions in hardware, and may be implemented in the form of a program that drives the hardware processor 240 in software. At the same time, it should be understood that the operations of the server device 100 and the manager device 200 are performed under the control of the processor 240, unless otherwise specified in the following description. That is, when executed, the module implemented in the above information providing system can be interpreted as the processor 240 controlling the server device 100 and the manager device 200 to perform the following operations.

In summary, example embodiments may be implemented in various ways. For example, example embodiments may be implemented by hardware, firmware, software, a combination thereof, or the like.

In the case of hardware implementation, a method according to various example embodiments may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic Device (PLD), Field Programmable Gate Array (FPGA), processor, controller, microcontroller, microprocessor or the like.

In the case of implementation by firmware or software, a method according to various example embodiments may be implemented in the form of a module, program, or function that performs a function or operation to be described below. For example, software code may be stored in a memory and driven by a processor. The memory may be internal to or external to the processor, and may transmit data to and receive data from the processor through a variety of known means.

Based on the above technical ideas, example embodiments will be described in more detail below. The above is applicable to various example embodiments that will be described below. For example, operations, functions, terms, or the like that are not defined in the various example embodiments to be described below may be performed and described based on the above.

In the following description, an example embodiment will be described in which the server device 100 handles an information providing operation. According to various example embodiments, the manager device 200 may receive information regarding a delivery demand adjustment from the server device 100 .

FIG. 3 is a diagram illustrating an operation method of the server device 100 for providing information according to various example embodiments.

Referring to FIG. 3 , the server device 100 may provide information on a delivery demand adjustment. To this end, the server device 100 identifies a plurality of delivery orders obtained on a service in operation 301, obtains in operation 303 information about a delay in assigning a delivery agent to the plurality of delivery orders and about completion included in the plurality of delivery orders. The information on the delivery completion time of each delivery order in the delivery order is determined based on the information about the delay and the information on the delivery completion time in operation 305, and whether to adjust a delivery demand on the service, and based on the information on the delivery completion time in operation 307 Whether to adjust the delivery demand to provide information about the adjustment of the delivery demand.

Services related to the operation of the server device 100 to provide information regarding adjustment of delivery demand according to FIG. 3 may correspond to mediating an item pick-up order and an item pick-up order between various stores registered in the service and a plurality of users using the service. One of the services for delivery orders. In addition, one of the items for which the pickup order and delivery order is processed may correspond to a food product. Food may be understood to have the same meaning as various other terms denoting food-related items, such as a dish, a recipe, or a meal. A store associated with services related to the server device 100 may correspond to a store that sells and delivers food, and may be understood to have the same meaning as various other terms indicating a place where food is sold, such as a store, a Shops and a restaurant.

That is, through the service provided by the server device 100 for mediating item pickup orders and delivery orders, multiple users can input an order request to order an item through one of the stores in the corresponding service, and the store can identify the item through the corresponding service. Enter the order request and prepare the ordered items according to the order request. If the store supports both a pick-up order and a delivery order, for a pick-up order where the user accesses the store to take out or pick up the item based on a user's selection, when the ordered item is ready, the store can enter the item preparation in the corresponding service The information is completed and the user can then visit the store to pick up the item. Alternatively, for a delivery order in which a delivery agent delivers an item to one of the user's addresses based on a user's selection, the store can enter delivery request information in the corresponding service when the ordered item is ready. When the delivery request information is identified, the delivery agent can visit the store, pick up the item, and deliver the item to the user's address information.

A delivery order requires a delivery agent to pick up an item from a store and deliver the item directly to one of the orderer's addresses. In the operation of a delivery order brokering service for one of these items, delivery orders may not be evenly distributed throughout the day, and orders may increase rapidly during peak hours, holidays, or periods of inclement weather. In such cases, there may be an undersupply problem of delivery agents, where the number of delivery agents is insufficient compared to the number of delivery orders to be processed, and to resolve the imbalance between the supply of delivery agents and delivery demand, The server device 100 of the management service can quickly adjust the supply of the delivery agent according to the situation.

At the same time, a method for adjusting delivery demand and delivery agent supply may be performed based on an estimate of the delay in delivery to customers, which may be performed independently for each of a plurality of geographic regions associated with the delivery service, i.e., including In each of the plurality of geographical areas managed separately by the Delivery Service. Additionally, if an adjustment in demand and delivery agent supply in one region is expected to affect adjacent regions, one may adjust one delivery demand and one delivery agent supply in another region in response to the adjustment in delivery demand and delivery agent supply being applied to one region. .

In order to adjust the delivery demand, one method can be used to flexibly set a delivery fee for each delivery area. Alternatively, one may use methods such as reducing a store's delivery range or canceling a promotion for service users. An example of adjusting delivery requirements for each of a user of a service, a store, and a delivery agent is described with reference to FIG. 4 .

FIG. 4 is a diagram illustrating an example of various methods performed by the server device 100 for delivery demand adjustment.

A dashed box 401 illustrates a method for adjusting a delivery requirement based on a user of a service. Server device 100 may perform a method such as setting a sufficient estimated delivery arrival time (e.g., estimated time of arrival (ETA)), re-ranking stores viewed by the user in order of a short distance from a store (e.g., re-ranking ), increase a shipping fee for processing each shipping order (such as a shipping fee), cancel a promotion for the user (such as stopping a promotion), or the like.

ETA can be set adaptively based on a delivery requirement. Based on an ETA value set by the server device 100, the set ETA value may be displayed on a store details page searched or viewed by a customer. When it is determined that the ETA is longer than a time required by a customer, the customer may not place an order. Through this, delivery requirements can be adjusted.

Re-ranking can be performed by adjusting the ranking of one of the stores displayed in the widget or by searching on the service. As an example, a store displayed when a customer performs a search may be a store available for delivery based on one of the customer's reference locations. The delivery available store may be one located within a predetermined distance based on the customer's reference location. One of the reference distance values can be reduced to adjust delivery demand. For example, delivery requirements can be adjusted by disabling delivery to a store that is relatively far away or giving it a lower search ranking.

When it is determined that distribution demand adjustment is needed, at least one of the above methods can be executed, and the service can be operated by sequentially releasing the application of at least one of the methods that is executed when the demand for distribution demand adjustment decreases during the operation of the service.

A dashed box 403 shows a method for adjusting delivery requirements based on a store registered with the service. The server device 100 may perform a method of reducing a delivery range (eg delivery range) of a store and the like. When the method of reducing the delivery range is applied, the corresponding store may not be displayed on a search page or widget so as not to be viewed by a user located outside the store's delivery range.

A dashed box 405 shows a method for adjusting the delivery demand and the supply of a delivery agent based on a delivery agent. Server device 100 may perform a method such as setting a sufficient estimated delivery arrival time (eg, ETA), increasing a delivery fee (eg, delivery fee) for processing each delivery order, or adjusting a delivery agent to arrive at a store and pick up a delivery. The extraction distance of one of the items in the order (for example, the extraction distance). Increasing the delivery fee can increase the reward for the delivery agent to participate in a delivery, and increasing the delivery fee can be achieved in at least one of the following ways: increasing a basic delivery fee and adding an additional delivery fee based on a distance. In addition, by adjusting the pickup distance of the delivery agents, a delivery request can be issued to delivery agents located in a larger area relative to a store, which can increase the supply of delivery agents.

The above methods can directly impact distribution demand. The server device 100 may perform an operation method to proactively identify and predict an imbalance between delivery demand and delivery agent supply in view of various parameters that affect delivery demand or delivery agent supply. The operation method of the server device 100 according to FIG. 3 may be one of the methods performed in these aspects. Through the operation of FIG. 3 , the server device 100 can maximize the number of orders that can be processed while maintaining delivery efficiency, or maximize the delivery efficiency while maintaining the number of orders that can be processed, thereby balancing delivery demand and delivery agent supply.

FIG. 5 is a diagram illustrating an example of managing a parameter based on a delivery demand adjustment.

If one of the conditions for a distribution demand adjustment is met and the distribution demand adjustment is triggered, various methods for distribution demand adjustment (such as "Andon") can be executed. Since each method can affect the use of a service, the server device 100 can manage a parameter of each method (eg, "Andon management"), as indicated by element symbol 501. In the example of FIG. 5 , 1) if a store's delivery range is adjusted, a store's ranking in a search result of the service may change (such as "search ranking"), as indicated by element symbol 503, 2 ) If a delivery fee is adjusted, then an amount of an item order may change (e.g., "price"), as indicated by element 505, 3) If an estimated delivery arrival time changes, then an item delivery time may change (e.g., "price") "ETA"), as indicated by element symbol 507, or 4) if the pickup distance of one of the delivery agents changes, the order allocation of one of the delivery agents may change (e.g., "Order Allocation (OA)"), as indicated by element symbol 509 indicated.

An operation of the server device 100 according to FIG. 3 may be performed as described below.

According to various example embodiments, in operation 301, the server device 100 may identify a plurality of delivery orders obtained on a service.

For example, the plurality of delivery orders identified by the server device 100 according to operation 301 may be a delivery order issued by a user of the service for a desired item in a desired store such that the item is delivered to the user's address information.

For example, a plurality of delivery orders identified by the server device 100 according to operation 301 may correspond to a plurality of delivery orders obtained on the service for a different delivery area. That is, a plurality of delivery orders may include one delivery order obtained in a predetermined area identified as deliverable through the service.

According to various example embodiments, in operation 303, the server device 100 may obtain information regarding a delay in assigning a delivery agent to a plurality of delivery orders and one of processes regarding completing each delivery order included in the plurality of delivery orders. Information on delivery completion time.

For example, when an item corresponding to a shipping order is ready by a store, the store may transmit a shipping agent allocation request to a service. The fulfillment agent may select a store identified as corresponding to the fulfillment agent assignment request and process a fulfillment order corresponding to the identified store. Specifically, a delivery agent can arrive at a store, pick up items corresponding to a delivery order, and deliver the items to the orderer's address information. Alternatively, when a store transmits a delivery agent allocation request, the server device 100 may allocate a delivery agent for processing delivery orders corresponding to the store.

For example, when a store transmits a delivery agent allocation request and when there is no delivery agent immediately allocated to process delivery orders corresponding to the store, the server device 100 may start from a point in time when identifying the delivery agent allocation request until responding to the delivery The agent distributes the request and the time period used by the distribution delivery agent is set to a delay. That is, it can be based on a time point from when a delivery agent allocation request is obtained from a store corresponding to the first delivery order on a service related to the server device 100 to a time point when the delivery agent allocation of the first delivery order is completed. The time period is determined to assign a first delay to a delivery agent for a first delivery order included in a plurality of delivery orders.

For example, the information about the delay in allocating a delivery agent to a plurality of delivery orders obtained by the server device 100 according to operation 303 may include an average delay that occurs in allocating a delivery agent to a plurality of delivery orders. That is, the server device 100 may obtain information about an average value of a time period for allocating delivery agents to a plurality of delivery orders.

For example, the information obtained by the server device 100 according to operation 303 regarding the delivery completion time of completing the processing of each delivery order included in the plurality of delivery orders may include the time point from when an individual delivery order is obtained on the service until each order. A period of time when a delivery is identified as completed (ie, a time point at which a delivery agent submits a delivery completion input for a delivery order). As an example, completion may be determined based on a period from a time when a first delivery order is obtained on the service to a time when a delivery completion input submitted by a first delivery agent processing the first delivery order is obtained. The first delivery completion time of one of the first delivery orders among multiple delivery orders.

According to various example embodiments, in operation 305, the server device 100 may determine whether to adjust a delivery requirement on the service based on information about the delay and information about the delivery completion time.

For example, when the plurality of delivery orders identified by the server device 100 according to operation 301 correspond to a plurality of delivery orders obtained in the service for a different delivery area, that is, when the plurality of delivery orders are included in the order identified as being deliverable through the service. When a delivery order is acquired in a predetermined area, the server device 100 determines whether to adjust the delivery requirements according to operation 305 to perform the determination of the predetermined area in which a plurality of delivery orders are acquired. In other words, the delivery demand adjustment of the server device 100 can be performed in units of areas divided in the service.

For example, the operation 305 of determining whether to adjust the delivery demand performed by the server device 100 may include the following operations: verifying whether the delay identified for a plurality of delivery orders is greater than or equal to a predetermined threshold time; verifying that a critical time is reached among the plurality of delivery orders. Whether the proportion of delivery orders that complete a delivery within the limited delivery completion time is less than a predetermined threshold proportion; and when the delay is greater than or equal to the predetermined threshold time and when the proportion is less than the predetermined threshold proportion, it is determined that the delivery demand needs to be adjusted.

Here, the predetermined threshold time used as a comparison reference for the delay related to the delivery demand adjustment may be set for the server device 100 to determine that the time required to allocate the delivery agent reaches a threshold condition for adjusting the delivery demand. A deadline. As an example, when the server device 100 sets the predetermined threshold time to 10 minutes and when the delays identified for a plurality of delivery orders exceed 10 minutes, the server device 100 may determine that the delay of the assigned delivery agent is satisfied for adjusting delivery. The critical condition of demand.

In addition, regarding delivery demand adjustment, the server device 100 can set a threshold delivery completion time for determining that a delivery has been processed in a timely manner. When the threshold delivery completion time is set, the server device 100 may identify a proportion of delivery orders among the plurality of delivery orders that are completed within the set threshold delivery completion time and compare the proportion with the predetermined threshold proportion. For delivery demand adjustment, a predetermined threshold ratio as a comparison reference for the proportion of delivery orders that are delivered within the critical delivery completion time may be set for the server device 100 to determine delivery orders that meet the critical delivery completion time. A proportion reaches one of the threshold proportions used to adjust the critical conditions for adjusting distribution demand. As an example, the server device 100 may set the critical delivery completion time to 45 minutes and the predetermined threshold ratio to 95%. In this example, when a proportion of the delivery orders among the plurality of delivery orders that are completed within 45 minutes drops to less than 95%, the server device 100 may determine that a proportion of the delivery orders that meet the threshold delivery completion time meets the user requirement. Critical conditions for adjusting distribution demand.

For example, the server device 100 can set the predetermined threshold time and the predetermined threshold ratio in stages and apply the delivery demand adjustment in stages. That is, the server device 100 may perform an operation of adjusting the distribution demand in stages based on the predetermined threshold time and the predetermined threshold ratio. As an example, the server device 100 may divide the delay in assigning a delivery agent into predetermined stages, such as when the delay exceeds 10 minutes, exceeds 20 minutes, exceeds 30 minutes, and the like. Likewise, the server device 100 may differentiate the proportion of delivery orders that meet the critical delivery completion time into predetermined stages, such as when the proportion drops to less than 95%, drops to less than 85%, drops to less than 75%, and the like. . In addition, the server device 100 can also adjust the delivery demand individually for each stage.

For example, the server device 100 may perform the delivery demand adjustment operation of stages 1 to 3 in a stepwise manner. Each delivery demand adjustment condition set by the server device 100 corresponding to the delivery demand adjustment operation of stages 1 to 3 will be described with reference to FIG. 6 .

FIG. 6 is a diagram illustrating an example of executing a distribution demand adjustment in stages.

In the example of FIG. 6 , the delivery demand adjustment conditions set by the server device 100 corresponding to the delivery demand adjustment operations in stages 1 to 3 may each include an additional delivery fee based on distance (such as a “mileage fee”), an extracted A distance (such as "pickup distance"), a delivery range of a store (such as "delivery range"), and an estimated delivery arrival time (such as "ETA"). However, the delivery demand adjustment conditions are not limited to the example of FIG. 6 , and various delivery demand adjustment methods described with reference to FIG. 4 may be included in the delivery demand adjustment conditions set by the server device 100 .

As indicated by element symbol 601, when one of the first delivery demand adjustment conditions corresponding to the delivery demand adjustment operation of Phase 1 is set, compared with a default state, an additional delivery fee (such as a "mileage fee") based on distance is calculated. Can be increased, the pickup distance for a delivery agent to arrive at the store and pick up the item (e.g., "Pickup Distance") can be increased, and the estimated delivery arrival time (e.g., "ETA") can be increased.

As indicated by element symbol 603, when the second delivery demand adjustment condition corresponding to the delivery demand adjustment operation of Phase 2 is set, compared with a state in which the first delivery demand adjustment condition is set, the additional delivery fee by distance ( For example, "mileage fee") can be further increased and the store's delivery area (such as "delivery area") can be reduced.

As indicated by element symbol 605, when the third delivery demand adjustment condition corresponding to the delivery demand adjustment operation of stage 3 is set, compared with a state in which the second delivery demand adjustment condition is set, the additional delivery fee by distance ( For example, "mileage fee") can be further increased and the estimated delivery arrival time (such as "ETA") can be further increased.

For example, when a delay in assigning a delivery agent is greater than or equal to a first threshold time and when a proportion of delivery orders that meet the threshold delivery completion time is less than a first threshold proportion, the server device 100 may execute phase 1 Delivery demand adjustment operation. That is, in this case, the server device 100 may set the first delivery demand adjustment condition for the service, so that the delivery demand adjustment operation is performed based on the first delivery demand adjustment condition. Therefore, the information on the delivery demand adjustment provided by the server device 100 according to operation 307 (as will be described below) may also be set based on the first delivery demand adjustment condition. As an example, when the delay in allocating a delivery agent is greater than or equal to 10 minutes and when the proportion of delivery orders that meet the critical delivery completion time is less than 95%, the server device 100 may set a first delivery demand adjustment condition for the service.

For example, when setting the first delivery demand adjustment condition, that is, when performing the delivery demand adjustment operation of Phase 1, the server device 100 may be configured to identify one or more delivery agents that are in an idle state in the service and are One or more delivery agents provide a task and a reward. To this end, information regarding delivery demand adjustments provided by server device 100 in accordance with operation 307 (as will be described below) may include information configured to provide tasks and rewards to one or more delivery agents that are idle on the service. information.

For example, the tasks and rewards for one or more delivery agents that are idle on the service may be determined based on the insufficient number of delivery agents to process the number of delivery orders obtained relative to the number of delivery orders. That is, the server device 100 can identify the number of delivery orders and the number of delivery agents that process the delivery orders, and determine tasks and rewards based on the number of delivery orders and the number of delivery agents that process the delivery orders. As the number of delivery agents processing multiple delivery orders increases relative to the number of delivery orders, the server device 100 may set the task to be simple and the reward to be high. Conversely, as the number of delivery agents processing multiple delivery orders increases relative to the adequacy of the number of delivery orders, the server device 100 may set the task to be complex and the reward to be low.

For example, when the server device 100 is configured to identify one or more delivery agents that are idle on the service and provide tasks and rewards to the one or more delivery agents, the server device 100 may provide tasks and rewards to the one or more delivery agents. Provides notification messages containing information about tasks and rewards.

For example, when the plurality of delivery orders identified by the server device 100 according to operation 301 correspond to a plurality of delivery orders obtained in one of the different delivery areas in the service, that is, when the plurality of delivery orders are included in the delivery order identified as being available through When a delivery order is acquired in a predetermined area of service delivery, one or more delivery agents identified by the server device 100 as being idle on the service may correspond to the delivery agent identified as corresponding to the predetermined area. As an example, when a plurality of delivery orders includes one delivery order identified as being obtainable in a predetermined area that can be delivered through the service, one or more delivery agents identified by the server device 100 as being idle on the service may include A delivery agent is identified as having a delivery task execution history corresponding to one of the predetermined areas.

For example, when the delay in allocating a delivery agent is greater than or equal to a second threshold time and when the proportion of delivery orders that meet the threshold delivery completion time is less than a second threshold proportion, the server device 100 may perform delivery in Phase 2. Demand adjustment operations. That is, in this case, the server device 100 may set the second delivery demand adjustment condition for the service, so that the delivery demand adjustment operation is performed based on the second delivery demand adjustment condition. Therefore, the information on the delivery demand adjustment provided by the server device 100 according to operation 307 (as will be described later) may also be configured based on the second delivery demand adjustment condition. As an example, when the delay in allocating a delivery agent is greater than 20 minutes and when the proportion of delivery orders that meet the critical delivery completion time is less than 85%, the server device 100 may set a second delivery demand adjustment condition for the service.

In this example, like the above example, the second threshold time for setting the second delivery demand adjustment condition may be set to be greater than the first threshold time for setting the first delivery demand adjustment condition, and for setting The second threshold ratio of the second distribution demand adjustment condition may be set smaller than the first threshold ratio used to set the first distribution demand adjustment condition.

For example, when setting the second delivery demand adjustment condition, that is, when performing the delivery demand adjustment operation of Phase 2, the server device 100 may be configured to: (1) provide a notification about a delayed delivery to a user of the service ; (2) display stores relatively close to address information about a user of the Service in response to a store search by a user of the Service; (3) display an estimated delivery time corrected to reflect delays in assigning a delivery agent; and (4) Remove an icon that appears to indicate that an expedited delivery exists on the service. Through the operations of (1) to (4), the server device 100 can contribute to the effect of reducing delivery requirements obtained from users of the service, while minimizing the inconvenience to users of the service that may be caused by adjustment of delivery requirements.

To this end, information provided by server device 100 in accordance with operation 307 (as will be described later) regarding delivery demand adjustments may include (1) information configured to provide notification of a delayed delivery to a user of the service , (2) configured to display store information in a sequence based on a short distance from address information about a user of the Service in response to a store search by a user of the Service, (3) configured to Information that displays an estimated delivery time corrected based on delays in assigning delivery agents and (4) information that is configured to remove an icon that is displayed to indicate that an expedited delivery exists on the service. In this example, the information from (1) to (4) can be managed as information configured for the user of the service.

For example, when setting the second delivery demand adjustment condition, that is, when performing the delivery demand adjustment operation of stage 2, the server device 100 may be configured to: (5) provide a delivery agent for a delivery order assigned to the service an estimated time required for a store registered with the Service; and (6) notify a store registered with the Service to provide a user of the Service with notification of a delay in assigning a delivery agent to process a delivery order. Through the operations of (5) and (6), the server device 100 can minimize the inconvenience to the store that may be caused by the adjustment of distribution requirements.

To this end, the information provided by the server device 100 in accordance with operation 307 (as will be described later) regarding the delivery demand adjustment may include (5) being configured to provide for assigning a delivery order to a delivery agent registered in the service. information about an estimated time required by a store and (6) configured to notify stores registered with the Service to provide notifications to users of the Service regarding delays in the allocation of a fulfillment agent to process a fulfillment order information. In this example, the information in (5) and (6) can be managed as information specific to the store configuration registered in the service.

For example, when the delay in allocating a delivery agent is greater than or equal to a third threshold time and when the proportion of delivery orders that meet the threshold delivery completion time is less than a third threshold proportion, the server device 100 may perform delivery in stage 3. Demand adjustment operations. That is, in this case, the server device 100 may set the third delivery demand adjustment condition for the service, so that the delivery demand adjustment operation is performed based on the third delivery demand adjustment condition. Therefore, the information on the delivery demand adjustment provided by the server device 100 according to operation 307 (as will be described later) may also be configured based on the third delivery demand adjustment condition. As an example, when the delay in allocating a delivery agent is greater than or equal to 30 minutes and when the proportion of delivery orders that meet the critical delivery completion time is less than 75%, the server device 100 may set a third delivery demand adjustment condition for the service.

In this example, like the above example, the third threshold time for setting the third delivery demand adjustment condition may be set to be greater than the second threshold time for setting the second delivery demand adjustment condition, and for setting The third threshold ratio of the third delivery demand adjustment condition may be set smaller than the second threshold ratio used to set the second delivery demand adjustment condition.

For example, when setting the third delivery demand adjustment condition, that is, when executing the delivery demand adjustment operation of stage 3, the server device 100 may be configured to: (1) notify the user of the service of a delivery order processing status and a delivery order processing status. One of the reasons for delayed delivery; (2) when the processing of a delivery order is not completed after the elapse of a predetermined period of time, providing users of the service with a delivery order cancellation function; and (3) when notified to users of the service from the initial When the processing of the delivery order is completed after a predetermined period has elapsed from one of the estimated delivery times, a compensation coupon is provided to the user of the service. Through the operations of (1) to (3), the server device 100 can achieve the effect of reducing the delivery demand obtained from users of the service, while minimizing the inconvenience to the users of the service that may be caused by the adjustment of delivery demand.

To this end, information provided by the server device 100 in accordance with operation 307 (as will be described later) regarding delivery demand adjustments may include (1) configured to notify a user of the service of a delivery order processing status and a delay Information about the reason for the shipment, (2) configured to provide users of the service with information about a shipping order cancellation function when processing of a shipping order has not been completed after a predetermined period of time has elapsed, and (3) configured to provide information about a shipping order cancellation function when processing of a shipping order has not been completed. Information on a compensation coupon is provided to the user of the service when the processing of the delivery order is completed after a predetermined period has elapsed since an estimated delivery time was initially notified to the user of the service. In this example, the information from (1) to (3) can be managed as information configured for the user of the service.

For example, when the third delivery demand adjustment condition is set, that is, when the delivery demand adjustment operation of stage 3 is performed, the server device 100 may be configured to: (4) notify the store registered in the service to provide the service to the user of the service Notification of a delay in assigning a delivery agent to a delivery order; and (5) notifying stores registered in the Service that a delivery agent is prioritized for assignment to delivery orders that have a relatively long delay in assigning a delivery agent. Through these operations of (4) and (5), the server device 100 can minimize the inconvenience to the store that may be caused by the adjustment of distribution requirements.

To this end, the information provided by the server device 100 according to operation 307 (as will be described later) regarding the adjustment of delivery demand may include (4) configured to notify a store registered in the service to provide a user of the service with Information regarding notification of delays in assigning a fulfillment agent to a fulfillment order and (5) configured to notify stores registered in the service that a fulfillment agent is prioritized for assignment to those that have a relatively long delay in assigning a fulfillment agent 1. Delivery order information. In this example, the information in (4) and (5) can be managed as information specific to the store configuration registered in the service.

According to various example embodiments, in operation 307, the server device 100 may provide information about the adjustment of the delivery demand based on whether the delivery demand is adjusted.

For example, various example embodiments described with reference to operations 301 to 305 may be applied to operation 307 in which the server device 100 provides information regarding adjustment of delivery demand.

It should be understood that the plurality of pieces of information provided by the server device 100 when performing the operating methods according to FIGS. 3 to 6 may be provided in various forms through combinations thereof.

The example embodiments of the present invention disclosed in this specification and the drawings are only specific examples disclosed to easily explain the technical content of the present invention and further promote the overall understanding of the present invention, and are not intended to limit the scope of the present invention. That is, those skilled in the art will understand that other changes can be made based on the technical idea of the present invention. Additionally, the respective example embodiments described above may be implemented in combination with each other as needed. For example, all example embodiments of the present invention may be implemented as part of a system combination.

Furthermore, methods executed by the system according to the present invention or the like may be implemented in the form of program instructions, which may be executed by various computer devices and recorded on a computer-readable medium.

As described above, from a particular perspective, various example embodiments of the present invention can be implemented with computer-readable code in a computer-readable recording medium. A computer-readable recording medium is any data storage device that can store data that can be read by a computer system. Examples of computer-readable recording media may include a read only memory (ROM), a random access memory (RAM), a compact disc read only memory (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and a carrier wave (such as data transmission on the Internet). In addition, the computer-readable recording medium can be distributed through a network-connected computer system. Therefore, computer-readable code is stored and executed in a distributed fashion. In addition, the functional procedures, codes and code segments used to implement various example embodiments of the present invention can be easily interpreted by those skilled in the art of application of the present invention.

Furthermore, it should be understood that apparatuses and methods according to various example embodiments of the present invention are implemented in the form of hardware, software, or a combination of hardware and software. The software may be stored in: a volatile or non-volatile storage device, such as a storage device (such as a ROM) or a memory (such as a RAM, a memory chip, a device or an integrated circuit); or for example an optically or magnetically recordable storage medium or a machine (such as a computer) readable storage medium, such as a compact disc (CD), a digital versatile disc (DVD), a magnetic disk or a tape, whether a removable How about a delete or overwriteable function. It should be understood that methods according to various example embodiments of the invention may be implemented by a computer including a controller and a memory, a vehicle including such a memory or computer, or the like. A memory system may be an example of a machine-readable storage medium suitable for storing one or more programs or stored programs containing instructions for implementing example embodiments of the invention.

Accordingly, the present invention encompasses a program containing code for implementing an apparatus or method defined in the scope of this specification and a machine (a computer or the like) readable storage medium storing such a program. Additionally, such a program may be transmitted electronically through any medium, such as a communications signal transmitted over a wired or wireless connection, and the invention appropriately covers equivalents thereof.

Although various example embodiments of the present invention have been described above, the example embodiments of the present invention disclosed in this specification and the drawings are only disclosed to easily explain the technical content of the present invention and to further promote the overall understanding of the present invention. specific examples and are not intended to limit the scope of the invention. Furthermore, the above-described example embodiments of the present invention are only examples, and it will be understood by those skilled in the art that other equivalent variations and example embodiments may be implemented. Therefore, the true technical scope of the present invention should be defined by the following patent application scope.

100:Server device 200:Manager device 210: Input/output section 220: Communication part 230:Storage 240:processor 301: Operation 303: Operation 305: Operation 307: Operation 401: Method to adjust a delivery demand based on a user of a service 403: Method for adjusting delivery requirements based on a store registered in the service 405: Method for adjusting delivery demand and supply of a delivery agent based on a delivery agent 501: Manage one parameter of each method 503:Search ranking 505: Pricing 507: Estimated arrival time 509: Order allocation 601: Stage 1 602: Stage 2 603: Stage 3

FIG. 1 is a diagram illustrating an information providing system for implementing an operating method of an electronic device for providing information, according to various example embodiments.

Figure 2 is a diagram illustrating the configuration of a server device and a manager device according to various example embodiments.

FIG. 3 is a diagram illustrating a method of operation of a server device 100 for providing information according to various example embodiments.

FIG. 4 is a diagram illustrating an example of various methods performed by the server device 100 for delivery demand adjustment.

FIG. 5 is a diagram illustrating an example of managing a parameter based on a delivery demand adjustment.

FIG. 6 is a diagram illustrating an example of executing a distribution demand adjustment in stages.

301: Operation

303: Operation

305: Operation

307: Operation

Claims (19)

A method for providing information on a distribution demand adjustment in an electronic device, the method includes: Identify multiple delivery orders obtained on a service related to the electronic device; Obtain information about a delay in assigning a delivery agent to the plurality of delivery orders and information about a delivery completion time in completing the processing of each delivery order included in the plurality of delivery orders; Determine whether to adjust a delivery demand on the service based on the information about the delay and the information about the delivery completion time; and Information about a distribution demand adjustment is provided based on whether the distribution demand is adjusted. The method of claim 1, wherein the plurality of delivery orders includes one delivery order obtained in a predetermined area identified as being deliverable through the service. The method of claim 1, wherein a first delay of assigning a delivery agent to a first delivery order included in the plurality of delivery orders is based on obtaining a first delay from a store corresponding to the first delivery order on the service. It is determined by a period from a time point of the delivery agent's allocation request to a time point of the delivery agent's allocation of the first delivery order. The method of claim 1, wherein the first delivery completion time for completing one of the first delivery orders included in the plurality of delivery orders is based on a time point from when the first delivery order is obtained on the service to when the first delivery order is obtained by processing the The first delivery order is determined by a time point and a time period submitted by a delivery completion input by the first delivery agent. For example, the method of request item 1, wherein determining whether to adjust the distribution demand includes: Verify whether the delay is greater than or equal to a predetermined threshold time; Verify whether a proportion of the plurality of delivery orders that completes a delivery within a limited delivery completion time is less than a predetermined threshold proportion; and When the delay is greater than or equal to the predetermined threshold time and when the ratio is less than the predetermined threshold ratio, it is determined that the distribution demand needs to be adjusted. The method of claim 5, wherein when the plurality of delivery orders includes a delivery order obtained in a predetermined area identified as being deliverable through the service, the delivery demand adjustment is performed for the predetermined area. As in the method of claim 5, the distribution demand adjustment is performed in stages based on the predetermined threshold time and the predetermined threshold ratio. The method of claim 5 further includes: When the delay is greater than or equal to a first threshold time and when the ratio is less than a first threshold ratio, a first delivery demand adjustment condition is set for the service, The information about the distribution demand adjustment is configured based on the first distribution demand adjustment condition. The method of claim 8, wherein the information regarding the delivery demand adjustment includes information configured to provide a task and a reward for one or more delivery agents in an idle state on the service. The method of claim 9 further includes: Identify one of the plurality of delivery orders and one of the number of delivery agents processing the plurality of delivery orders; and The task and the reward are determined based on the number of delivery orders and the number of delivery agents processing the delivery orders. The method of claim 9 further includes: Provide notification information containing information about the task and the reward to the one or more delivery agents. The method of claim 9, wherein when the plurality of delivery orders includes a delivery order obtained in a predetermined area identified as deliverable through the service, the one or more delivery agents include a delivery order corresponding to the predetermined area. A delivery task execution history for a delivery agent. The method of claim 8 further includes: When the delay is greater than or equal to a second threshold time and when the ratio is less than a second threshold ratio, a second delivery demand adjustment condition is set for the service, The information about the distribution demand adjustment is configured based on the second distribution demand adjustment condition, The second threshold time is greater than the first threshold time, and The second threshold ratio is smaller than the first threshold ratio. For example, request the method of item 13, in which the information about the adjustment of the distribution demand includes: Information configured to provide a notification of a delayed delivery to a user of the Service; configured to display store information in a sequence based on a short distance from the user's address information on the Service in response to a store search by the user of the Service; Configured to display information on an estimated delivery time based on the delay correction; and Configured to remove information displayed as an icon indicating that an expedited delivery exists on the service. For example, request the method of item 13, in which the information about the adjustment of the distribution demand includes: Configured to provide information on the estimated time required to assign a fulfillment agent for a fulfillment order to a store registered with the service; and The store configured to notify the store registered with the service provides information to a user of the service about a delay in a delivery agent assigned to process a delivery order. The method of claim 13 further includes: When the delay is greater than or equal to a third threshold time and when the ratio is less than a third threshold ratio, a third delivery demand adjustment condition is set for the service, The information about the distribution demand adjustment is configured based on the third distribution demand adjustment condition, The third threshold time is greater than the second threshold time, and The third threshold ratio is smaller than the second threshold ratio. For example, request the method of item 16, in which the information about the adjustment of the distribution demand includes: Configured to notify a user of the service of a delivery order processing status and a reason for delayed delivery; Configured to provide information about a delivery order cancellation function to the user of the service when processing of a delivery order has not been completed after the elapse of a predetermined period of time; and Information configured to provide a compensation coupon to the user of the service upon completion of processing of the delivery order after a predetermined period of time has elapsed since the user of the service was initially notified of an estimated delivery time. For example, request the method of item 16, in which the information about the adjustment of the distribution demand includes: Information configured to notify a store registered in the Service to provide notification to such user of the Service regarding a delay in assigning a delivery agent to a delivery order; and Information configured to notify the store registered with the service that a fulfillment agent is assigned priority to fulfillment orders that have a relatively long delay in assigning a fulfillment agent. An electronic device used to provide information about a distribution demand adjustment. The electronic device includes: a processor; and one or more memories in which one or more instructions are stored, Wherein, when executed, the one or more instructions control the processor to perform: Identify multiple delivery orders obtained on a service related to the electronic device; Obtain information about a delay in assigning a delivery agent to the plurality of delivery orders and information about a delivery completion time in completing the processing of each delivery order included in the plurality of delivery orders; Determine whether to adjust a delivery demand on the service based on the information about the delay and the information about the delivery completion time; and Information about a distribution demand adjustment is provided based on whether the distribution demand is adjusted.