KR102290184B1 - Apparatus, Method and System for Display Promotion Time - Google Patents

Abstract

A method, apparatus, and system for displaying a promotion time point are disclosed. The promotion time display method includes collecting daily sales volume from a release date for a plurality of products from a shopping mall, calculating sales activity values for a plurality of products by reference day based on the collected daily sales volume, and calculating the calculated multiple Based on the sales activity value by reference date for the products of can Accordingly, based on the analysis of the sales trend of the products sold in the shopping mall, it is possible to detect when the product needs to be promoted, and to recommend an appropriate promotion time for the product to the user.

Description

{Apparatus, Method and System for Display Promotion Time}

The present invention relates to a promotion time display method, apparatus and system, and more particularly, to a promotion time display method, apparatus and system capable of displaying a promotion time point by detecting a time point at which a promotion is required by analyzing a product sales trend. it's about

In recent years, the popularization of online communication such as the Internet has drastically changed the commerce environment than ever before. Now, to the extent that the word online or internet shopping itself is unfamiliar, the word internet or online seems to be an unnecessary modifier. In addition, the expansion trend of the online e-commerce market is expected to further expand.

In the operation of a shopping mall that sells products online, proper inventory management is very important. For example, in order to prevent loss of sales opportunities due to lack of inventory, the shopping mall operator should roughly estimate the sales quantity within a set period based on the period of stocking after production or order, and hold stock according to the forecast. .

On the other hand, inventory due to, for example, sluggish sales or excessive sales volume is a major risk factor for the business, such as making it difficult to rotate funds. Therefore, it is common for the operator to aggressively exhaust the inventory by unexpectedly determining that the inventory is excessively stacked, that the sales are not good, or performing promotions such as price discounts to reverse the sales trend.

For example, Korean Patent Registration No. 0749093 discloses a product promotion system that performs promotion by determining a promotion consumer group with a high probability of purchasing a user promotion product.

Korean Patent No. 0749093

An object of the present invention is to provide a promotion time display method, apparatus, and system capable of displaying a promotion time point by detecting a time point at which a promotion is required by analyzing a product sales trend.

In order to achieve this object, the present invention provides a promotion time display method in one aspect (Aspect). The promotion time display method includes: collecting daily sales volume from a release date for a plurality of products from a shopping mall; calculating sales activity values for a plurality of products by reference day based on the collected daily sales volume; detecting a reference date corresponding to a promotion time of the plurality of products based on the calculated sales activity values for each reference day; and displaying information indicating a reference date corresponding to the promotion time of the plurality of products on one screen.

Calculating the sales activity value includes calculating the cumulative sales volume for a second period for each reference date after the release date of the first product ??The second period is a period from the start date to the reference date and is included in the first period- ; calculating a maximum cumulative sales volume that is a maximum value among cumulative sales volume during a second period for each reference date; The method may include calculating a sales activity value for each reference date corresponding to the first product based on the calculated cumulative sales volume and the maximum cumulative sales volume.

The calculating of the sales activity value for each reference day corresponding to the first product may include dividing the cumulative sales volume for each reference day corresponding to the first product by the maximum cumulative sales volume for each reference date.

The detecting of the reference date corresponding to the plurality of promotion times may include: determining a reference date corresponding to a time point at which the sales activity value of the first product transitions below a set value as the promotion time of the first product; and determining, as the promotion time of the first product, a reference date corresponding to a time point at which a set period elapses after the sales activity value of the first product transitions below a set value.

The detecting of the reference date corresponding to the plurality of promotion points may include: detecting a plurality of sales states corresponding to sales activity values for each reference date for the plurality of products; and determining a reference date corresponding to a promotion time for the plurality of products based on the plurality of sales states.

The sales status may include: a first status in which a sales activity value is equal to or greater than a first value and indicating that a product is being actively sold; a second state in which a sales activity value is greater than or equal to a second value less than the first value and less than the first value, wherein the product represents a normal level of sales; and a third state in which the sales activity value is less than the second value and the sales of goods are slowing down.

The detecting of the reference date corresponding to the promotion time of the plurality of products may include: determining a reference date at which the sales state of the first product transitions to the third state as the promotion time of the first product; and when the sales state of the first product transitions to a third state and a third period elapses in the third state, determining a reference date at which the third period elapses as a promotion time of the first product may be any one of

The promotion time display method may further include displaying information indicating a plurality of sales states corresponding to a plurality of products on the screen. The step of displaying information indicating a plurality of sales states corresponding to the plurality of products on the screen may include: a first area corresponding to the first state, a second area corresponding to the second state, and the third state. displaying a sales status display area including a corresponding third area; extracting a plurality of thumbnail images corresponding to the plurality of products from a database; and inserting thumbnail images corresponding to the plurality of products into corresponding areas among the first, second, and third areas of the sales status display area according to the plurality of sales states corresponding to the plurality of products. may include

The daily sales volume may include: daily sales volume prior to the current point in time; And it may include at least one of the daily predicted sales volume predicted daily sales after the current time point.

On the other hand, in order to achieve the object of the present invention described above, the present invention provides a promotion time display device in another aspect. The promotion time display device may include: a receiving unit for collecting daily sales volume from a release date for a plurality of products from a shopping mall; a calculation unit for calculating sales activity values for a plurality of products by reference day based on the collected daily sales volume; a detection unit configured to detect a reference date corresponding to a promotion time of the plurality of products based on the calculated sales activity values for each reference day; and a display unit for displaying information indicating a plurality of reference days corresponding to the promotion timing of the plurality of products on the screen.

The calculating unit calculates the cumulative sales volume for a second period for each reference date after the release date of the first product, calculates a maximum cumulative sales volume that is a maximum value among the cumulative sales volume for the second period for each reference date, and calculates the calculated cumulative sales volume and the maximum Based on the accumulated sales volume, the sales activity value for each reference date corresponding to the first product may be calculated.

The second period is a period from the start date to the reference date and may be included in the first period. The calculator may be configured to divide the cumulative sales volume for each reference day corresponding to the first product by the maximum cumulative sales volume for each reference date.

The detection unit is configured to determine a reference date corresponding to a point in time when the sales activity value of the first product transitions below a set value as the promotion time of the first product, or when the sales activity value of the first product transitions below a set value. Then, a reference date corresponding to a time when a set period elapses may be determined as a promotion time of the first product.

The detection unit may be configured to detect a plurality of sales states corresponding to sales activity values for each reference date for the plurality of products, and determine a reference date corresponding to a promotion time for the plurality of products based on the plurality of sales states. can

The sales status may include: a first status in which a sales activity value is equal to or greater than a first value and indicating that a product is being actively sold; a second state in which a sales activity value is greater than or equal to a second value less than the first value and less than the first value, wherein the product represents a normal level of sales; and a third state in which the sales activity value is less than the second value and the sales of goods are slowing down.

The detection unit may be configured to determine a reference date at which the sale state of the first product transitions to the third state as the promotion time of the first product, or when the sale state of the first product transitions to the third state and the third If the third period has elapsed in the state, the reference date of the elapse of the third period may be determined as the promotion time of the first product.

The display unit may display information indicating a plurality of sales states corresponding to a plurality of products on the screen. The display unit displays a sales status display area including a first area corresponding to the first state, a second area corresponding to the second condition, and a third area corresponding to the third condition, and the plurality of A plurality of thumbnail images corresponding to products are extracted from the database, and thumbnail images corresponding to the plurality of products are displayed according to a plurality of sales states corresponding to the plurality of products in a first area and a second area of the sales status display area. and the third area may be inserted into a corresponding area.

The daily sales volume may include: daily sales volume prior to the current point in time; And it may include at least one of the daily predicted sales volume predicted daily sales after the current time point.

On the other hand, in order to achieve the object of the present invention described above, the present invention provides a promotion time display system in another aspect. The promotion time display system may include: a shopping mall; and collecting daily sales volume from the release date for a plurality of products from the shopping mall, calculating a sales activity value by reference day for the plurality of products based on the collected daily sales volume, and adding A server that detects a reference date corresponding to the promotion time of the plurality of products based on the sales activity value for each reference day, and displays information indicating a plurality of reference days corresponding to the promotion time of the plurality of products on the screen. can do.

The server calculates the cumulative sales volume for a second period for each reference date after the release date of the first product, calculates a maximum cumulative sales volume that is a maximum value among the cumulative sales volume for the second period for each reference date, and calculates the calculated cumulative sales volume and the maximum Based on the accumulated sales volume, the sales activity value for each reference date corresponding to the first product may be calculated.

The second period is a period from the start date to the reference date and may be included in the first period. The server may divide the cumulative sales volume for each reference day corresponding to the first product by the maximum cumulative sales volume for each reference date.

The server determines a reference date corresponding to a point in time when the sales activity value of the first product transitions below a set value as the promotion time of the first product, or when the sales activity value of the first product transitions below a set value Then, a reference date corresponding to a time when a set period elapses may be determined as a promotion time of the first product.

As described above, according to the present invention, by analyzing the sales trend of the product, it is possible to detect the time when the promotion is required and display the promotion time. Accordingly, the shopping mall can easily check the promotion timing objectively according to the sales trend through the screen and promote the product without performing a special analysis for promotion, away from arbitrarily and subjectively performing product promotion.

1 is a block diagram for explaining a system configuration for realizing preferred embodiments of the present invention.
FIG. 2 is a block diagram for explaining the configuration of the service server shown in FIG. 1 .
FIG. 3 is a flowchart for explaining the flow of the promotion time automatic recommendation procedure performed by the service server shown in FIG. 2 .
4 is a chart for exemplarily explaining a process of calculating the cumulative sales volume for the second period for each reference date after the release date based on the received daily sales volume.
5 is an exemplary diagram illustrating a portion of a user interface displayed by a display unit of a service server.
6 is an exemplary diagram for exemplarily explaining a sales state according to a sales activity value of products.
7 is a flowchart for explaining the flow of the promotion time display procedure performed by the service server shown in FIG.
8 is an exemplary view illustrating that the service server displays information indicating a reference date corresponding to a promotion time of a plurality of products on one screen.
9 and 10 are exemplary diagrams illustrating graphs in which the service server displays product sales status and promotion time points.
11 is a flowchart illustrating a process for displaying information indicating a plurality of sales states corresponding to a plurality of products on a screen.
12 is an exemplary diagram illustrating display of information indicating a plurality of sales states for a plurality of products on a screen.

Since the present invention can have various changes and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail. However, this is not intended to limit the present invention to specific embodiments, and it should be understood to include all modifications, equivalents and substitutes included in the spirit and scope of the present invention.

Terms such as first, second, etc. may be used to describe various elements, but the elements should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component. and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items.

When it is said that a component is 'connected' or 'connected' to another component, it is understood that it may be directly connected or connected to the other component, but other components may exist in between. it should be On the other hand, when it is mentioned that a certain element is 'directly connected' or 'directly connected' to another element, it should be understood that the other element does not exist in the middle.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, terms such as 'comprise' or 'have' are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features It should be understood that this does not preclude the existence or addition of numbers, steps, operations, components, parts, or combinations thereof.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the accompanying drawings. In describing the present invention, in order to facilitate the overall understanding, the same reference numerals are used for the same components in the drawings, and duplicate descriptions of the same components are omitted.

1 is a block diagram for explaining a system configuration for realizing preferred embodiments of the present invention.

As shown in FIG. 1 , the system may include a service server 100 that interworks with a plurality of shopping malls 10 . Here, the shopping mall 10 may mean, for example, an e-commerce server that sells products online.

The service server 100 may be implemented based on one or more server-level computer terminals. The computer terminal may be a network terminal including a memory for storing a program, a processor for executing a program stored in the memory, a hard disk for storing information, an input unit for inputting information and an output unit for outputting information, etc. .

The service server 100, for example, receives the daily sales volume for each product from the shopping malls 10 through the communication network, analyzes the received daily sales volume, and provides services such as automatic recommendation of product promotion time, display of promotion time, etc. It may be provided to the shopping mall 10 .

2 is a block diagram for explaining the configuration of the service server 100 shown in FIG. 1, and FIG. 3 is a flow of the promotion time automatic recommendation procedure performed by the service server 100 shown in FIG. This is a flow chart to explain.

1 to 3 , the receiving unit 110 of the service server 100 may receive the daily sales volume for the product from the shopping mall 10 from the product's release date to the first period (step: S1).

The first period may be, for example, a period from a release date to the present. That is, the daily sales volume of the product may be the daily sales volume from the release date to the current time point. In this case, the service server 100 may continuously receive the daily sales volume of the newly updated day whenever the date is updated from the current time point. In this case, the first period may be increased by the updated date. The first period may be at least one month or longer for reliability of analysis.

Alternatively, the first period may mean a period from a release date to a preset time point after the present. That is, the daily sales volume of the product may be information including the daily sales volume up to the current point in time and the daily predicted sales volume in which the daily sales volume after the current point in time is predicted.

In this case, the first period is a period that can be set in advance by the administrator based on the user interface displayed by the service server 100, for example, may be set in units of months, such as one month, two months, or 30 days; It can also be set in units of days, such as 45 days. The first period may be at least one month or longer for reliability of analysis.

For example, assuming that the first period is set to 1 month, the service server 100 may receive the daily sales volume from the shopping mall A 10 to a point in time when one month has elapsed from the release date of the "XXX" product. The daily sales received here, assuming that the present is 15 days after the release date, the daily sales from the release date to the current point in time (for example, 15 days from the release date), and after the current point in time (for example, 16 days after the release date) ) to the point in time when 30 days have elapsed may include the daily forecast sales.

The daily predicted sales volume may be calculated by a sales volume prediction unit (not shown). The sales volume prediction unit may be provided in the shopping mall 10 , may be provided in a separate sales volume prediction server, or may be provided in the service server 100 . The process of calculating the predicted daily sales volume will be described later.

Next, the calculation unit 120 of the service server 100 may calculate the cumulative sales volume for the second period for each reference date after the product's release date based on the received daily sales volume (step: S2). The second period is a period from the start date to the reference date and is included in the first period. For example, the second period may be set to 7 days, 10 days, or the like. The reference date may refer to a date serving as a basis for calculating the sales activity.

In this embodiment, it is assumed that the first period is set to 31 days and the second period is set to 7 days. 4 is a chart for exemplarily explaining a process of calculating the cumulative sales volume for the second period for each reference date after the release date based on the received daily sales volume.

As shown in FIG. 4 , for a specific product, daily sales for 31 days, the first period, were 11 units on the first day of the release date, 9 units on the second day from the release date, 10 units on the third day, and 8 units on the fourth day. , 4 on day 5, 5 on day 6, 12 on day 7, 11 on day 8, 10 on day 9, 7 on day 10, … , 1 on day 30 and 0 on day 31.

The service server 100 calculates the cumulative sales volume for each reference day based on the daily sales volume for the 31 days. Here, since the second period is 7 days, it is impossible to calculate from the first to the sixth days less than the second period after the release date, so the service server 100 calculates the cumulative sales volume from the seventh day corresponding to the second period from the release date. can

First, if calculated based on the 7th day, the cumulative sales volume for 7 days, which is the second period, is 59 pieces. Here, the day corresponding to the 7th day may be referred to as a reference date, which is a date on which the cumulative sales volume is calculated. That is, the second period may mean a period from the start date to the reference date. Here, the start date may be a day obtained by adding 1 to the second period minus the reference date.

The service server 100 may calculate the cumulative sales volume for each reference day until the last day of the first period by using the first day on which the cumulative sales volume can be calculated as the reference date. For example, if the 8th day is the reference date, the cumulative sales volume for 7 days, the second period, is 59, and if the 9th day is the reference date, the cumulative sales volume for 7 days is 60 units, and in this way, by the 31st day Cumulative sales can be calculated.

When the cumulative sales volume for each reference day is calculated, the calculating unit 120 of the service server 100 may calculate the maximum cumulative sales volume, which is a maximum value, among the calculated cumulative sales volume for each reference day (step: S3). The maximum cumulative sales volume may mean the maximum sales volume up to the base date, which is the calculation standard, among the cumulative sales volume for each base day. For example, in the example shown in FIG. 4 , the maximum cumulative sales volume up to the 10th day is 60 pieces on the 9th day, and the maximum cumulative sales volume up to the 31st day is 64 pieces on the 13th day of the reference date.

Next, the calculating unit 120 of the service server 100 may calculate a sales activity value for each reference day corresponding to the product based on the calculated cumulative sales volume for each reference day and the maximum cumulative sales volume (step: S4). For example, the service server 100 may calculate the sales activity value for each reference day by dividing the cumulative sales volume for each reference day by the maximum cumulative sales volume.

For example, in the example shown in FIG. 4 , when the reference date is the 8th day, the cumulative sales volume for 7 days is 59 pieces and the maximum cumulative sales volume for 7 days is 59 pieces, so the sales activity value is 1. If the base date is the 20th day, the cumulative sales for 7 days is 29 and the maximum cumulative sales is 64, so the sales activity value is 0.45. If the base date is the 27th, the 7-day cumulative sales are 16 and the maximum cumulative sales is 64, so the sales activity value is 0.25.

Next, the detection unit 130 of the service server 100 may detect a reference date corresponding to the promotion time of the product based on the calculated sales activity value for each reference date (step: S5).

For example, the service server 100 may determine a reference date corresponding to a time point at which the sales activity value first transitions below a set value as a promotion time point. The set value may be a value directly settable by the user through the user interface, for example, may be a positive value of 0.5 or less, such as 0.2.

The sales activity value may rise again at least one day after the transition below the set value and exceed the set value. In this case, the service server 100, based on the policy setting through the user interface, tells you to cancel the promotion. A message or information requesting or indicating, requesting or indicating to continue the promotion may be transmitted or displayed to the shopping mall 10 . Here, when the promotion is withdrawn and the sales activity value falls below the set value again, a message or information requesting or indicating to perform the promotion again may be transmitted to the shopping mall 10 .

Alternatively, the service server 100 may determine, as the promotion time, a reference date corresponding to a time point at which a set period elapses while the sales activity value transitions below the set value and remains below the set value. That is, after the sales activity value transitions to the set value or less, when at least a set period elapses from the set value or less, the reference date is determined as the promotion time point.

Alternatively, the service server 100 calculates the average of the sales activity values for each reference day for a set period after the sales activity value transitions below the set value, and if the average value is below the set sales activity value, the last day of the set period is promoted You can also decide on a point in time.

Meanwhile, the detection unit 130 of the service server 100 may detect a sales state corresponding to a sales activity value for each reference day, and determine a reference date corresponding to a promotion time based on each sales state.

The sales state of the product may include a first state, a second state, and a third state. The first state is a state in which the sales activity value of the product is equal to or greater than the first value, and may indicate a state in which the product is being actively sold. For example, the first state may be an “ACTIVE” state as a state in which the sales activity value of the product is 0.7 or more. The second state is a state in which the sales activity value of the product is greater than or equal to a second value smaller than the first value and less than the first value, and may represent a state in which the product represents a normal sales level. For example, the second state may be a "NORMAL" state as a state in which the sales activity value of the product is 0.2 or more and less than 0.7. The third state is a state in which the sales activity value of the product is less than the second value, and may be a state indicating that the sale of the product is slowing. For example, the third state may be a "SLOW" state as a state in which the sales activity value of the product is less than 0.2.

6 is an exemplary diagram for exemplarily explaining a sales state according to a sales activity value of products. In the example shown in Fig. 6, the sales status is "ACTIVE" if the sales activity value is 0.7 or higher, the sales status is "NORMAL" if the sales activity value is 0,2 or more and less than 0.7, and the sales status is sales if the sales activity value is less than 0.2. Assume the state is "SLOW".

As shown in FIG. 6 , a total of 255 products of product A were sold after release, and the sales activity value is 0.75, so the sales status is “ACTIVE”. Product B has sold 132 units since launch and has a sales activity value of 0.52, so the sales status is "NORMAL". Product C sold 1026 units after its release and sold a fairly large number, but the current sales activity value is 0.18, so the sales status is "SLOW".

The service server 100 may determine the reference date at which the sale state transitions to the third state as the promotion time. Alternatively, the service server 100 may determine, as the promotion time point, a reference date at which the set period elapses when a period set in the third state has elapsed after the sale state transitions to the third state.

When the reference date corresponding to the promotion time is determined by the detection unit 130, the transmission unit 150 of the service server 100 may transmit a promotion time recommendation message indicating that the reference date is the promotion time to the shopping mall 10 (step :S7). The promotion time recommendation message may include a recommendation message informing that promotion of the product should be performed on the detected reference date.

On the other hand, when the reference date corresponding to the promotion time is determined by the detection unit 130 , the display unit 140 of the service server 100 displays a user interface including information indicating the reference date of the promotion time of the shopping mall 10 . can be displayed on the screen (step: S6).

The user interface includes a graph indicating the product identification information of the product, the cumulative sales volume of the product and the change in the sales activity value over time from the release date, and the graph allows the user to easily recognize the promotion time according to the detected reference date. can be displayed so that

5 is an exemplary diagram illustrating a portion of a user interface displayed by the display unit 140 of the service server 100 .

As shown in FIG. 5 , product identification information of the product is displayed at the top of the user interface. The X axis of the graph is an axis to represent the first day after release, and the Y axis is an axis to represent the total cumulative sales volume and sales activity values according to the first day.

Products are actively sold from the 1st day, and the cumulative sales volume increases almost linearly, and as the cumulative sales volume approaches 60 days, the increase in cumulative sales volume is slowing down. On the other hand, the sales activity value of a product is calculated from the 7th day after launch and increases to almost 1, and then decreases to less than 0.2 when 60 days have elapsed. Accordingly, when the determination set value at the time of promotion is 0.2, the reference date corresponding to the time of promotion is 60 days, and after that, promotion may be performed. The graph may be visually displayed so that the user can easily recognize that the promotion should be performed after the time of the promotion.

Meanwhile, the display unit 140 of the service server 100 may display a sales state according to the first product on the graph, and a time point at which the sale state transitions to the third state may be displayed as a promotion time.

Meanwhile, the service server 100 may display promotion timings for a plurality of products sold in the shopping mall 10 . Hereinafter, the procedure will be described.

7 is a flowchart for explaining the flow of the promotion time display procedure performed by the service server 100 shown in FIG.

As shown in FIG. 7 , the receiving unit 110 of the service server 100 may collect daily sales volume from a release date for a plurality of products (step: S11 ). The daily sales volume from the release date may be the daily sales volume from the release date of each product to the current time point. Alternatively, the daily sales volume from the release date may include daily sales volume from the release date of each product to the present time point and daily predicted sales volume from the current time point to a preset time point. That is, the daily sales volume from the release date may be real-time data for each product up to the present, or may be data further including the daily predicted sales volume up to a point in time set in the real-time data.

The daily predicted sales volume may be calculated by a sales volume prediction unit (not shown). The sales volume prediction unit may be provided in the shopping mall 10 , may be provided in a separate sales volume prediction server, or may be provided in the service server 100 .

Next, the calculating unit 120 of the service server 100 may calculate sales activity values for a plurality of reference days for a plurality of products based on the collected daily sales volume (step: S12).

Here, the procedure for calculating the sales activity value by reference date of each product has been previously described in the description of steps S2 to S4 with reference to FIG. 3 . For example, the service server 100 calculates the cumulative sales volume for the second period for each reference date after the release date of the first product, calculates the maximum cumulative sales volume that is the maximum value among the cumulative sales volume for the second period for each reference date, and calculates Based on the accumulated sales volume and the maximum cumulative sales volume, the sales activity value for each reference date corresponding to the first product may be calculated.

Here, the calculation of the sales activity value for each reference day corresponding to the first product may be, for example, dividing the cumulative sales volume for each reference day corresponding to the first product by the maximum cumulative sales volume for each reference date. The second period, as mentioned above, may mean a period from the start date to the reference date, and may be, for example, 7 days.

The calculation unit 120 of the service server 100 may calculate sales activity values for a plurality of reference days for a plurality of products by repeating the above-described process for each product.

Subsequently, the detection unit 130 of the service server 100 may detect a reference date corresponding to the promotion time of the plurality of products based on the calculated sales activity values for each reference day for the plurality of products (step: S13) .

For example, the service server 100 may determine a reference date corresponding to a time point at which the sales activity value of the first product transitions below a set value as the promotion time of the first product. Alternatively, the service server 100 may determine a reference date corresponding to a time point at which a set period elapses after the sales activity value of the first product transitions below the set value as the promotion time of the first product. Alternatively, the service server 100 may determine the reference date corresponding to the last day of the set period as the promotion time when the average value for a set period after the sales activity value of the first product transitions below the set value is equal to or less than the set value. . The service server 100 may detect a reference date corresponding to a promotion time point of a plurality of products by repeating at least one of the above-described processes.

Meanwhile, the service server 100 detects a plurality of sales states corresponding to sales activity values for each reference day for a plurality of products, and determines a reference date corresponding to a promotion time for a plurality of products based on the plurality of sales states. may be

Here, the sales state of the product may include a first state, a second state, and a third state. The first state is a state in which the sales activity value of the product is equal to or greater than the first value, and may indicate a state in which the product is being actively sold. For example, the first state may be an “ACTIVE” state as a state in which the sales activity value of the product is 0.7 or more. The second state is a state in which the sales activity value of the product is greater than or equal to a second value smaller than the first value and less than the first value, and may represent a state in which the product represents a normal sales level. For example, the second state may be a "NORMAL" state as a state in which the sales activity value of the product is 0.2 or more and less than 0.7. The third state is a state in which the sales activity value of the product is less than the second value, and may be a state indicating that the sale of the product is slowing. For example, the third state may be a "SLOW" state as a state in which the sales activity value of the product is less than 0.2.

For example, the service server 100 may determine the reference date of the transition from the sales state of the first product to the third state as the promotion time of the first product. Alternatively, when the sales state of the first product transitions to the third state and the period set in the third state elapses, the service server 100 may determine the reference date at which the set period elapses as the promotion time of the first product. have.

Next, the display unit 140 of the service server 100 may display information indicating a reference date corresponding to a promotion time of a plurality of products on one screen of the shopping mall 10 (step: S14).

8 is an exemplary view illustrating that the service server 100 displays information indicating a reference date corresponding to a promotion time of a plurality of products on one screen.

As shown in FIG. 8 , a date may be displayed on the X axis of the graph. The Y-axis of the graph may display the total cumulative sales volume of the product. The display unit 140 of the service server 100 may visually display a change in the total cumulative sales volume of individual products according to the flow of dates, and the reference date corresponding to the promotion time for the individual products by the detection unit 130 When this is detected, the detected reference date may be visually and easily recognizable as a promotion time. Accordingly, promotion times of a plurality of products may be displayed on one screen.

The display unit 140 of the service server 100 may extract thumbnail images of individual products from the database. The thumbnail image may be a representative image of a sales page of the shopping mall 10 . To this end, the display unit 140 may collect representative images of individual products from the shopping mall 10 and store them in a database, and may extract the stored representative images from the database when displaying the user interface and use them as thumbnail images.

The display unit 140 of the service server 100 highlights the thumbnail image and date of the product extracted on the date corresponding to the promotion time point on the visual graphic representing the change in the total cumulative sales volume of each product for a plurality of products. can be displayed in this way. Accordingly, on the screen displayed in the shopping mall 10, changes in total cumulative sales of individual products for a plurality of products are displayed as visual graphics, and the date of promotion and thumbnail image highlighting method are displayed on the visual graphic. .

On the other hand, when the daily sales data for each product is updated for each set period, the service server 100 updates the total cumulative sales volume, sales status, etc. of the product whenever the daily sales data for each product is updated, and when the reference date corresponding to the time of promotion arrives, the You can mark the promotion time.

9 and 10 are exemplary views illustrating a graph in which the service server 100 displays the sales status and promotion time of the product, and the total number of a plurality of products on one graph as in the graph shown in FIG. 8 . A graphic representing the cumulative sales volume may be displayed visually, but for convenience of understanding, one product, product A, is shown.

9 to 10 , the date may be displayed on the X-axis of the graph, and the total cumulative sales volume of the product may be displayed on the Y-axis of the graph. Referring to FIG. 9 , a graph indicating that product A was released on June 1, 2018 and that the total cumulative sales volume is increasing almost linearly may be updated every set period (eg, 1 day).

Assuming that product A currently has a sales activity value of 0.2 or more and less than 0.7, and a sales status of "NORMAL", the graph visually displays a graphic representing the change in total cumulative sales of product A from the release date to the present (e.g., a lead wire) ), and a thumbnail image of product A and “NORMAL” indicating the current sales status may be displayed at the end of the graphic representing the total accumulated sales of product A (ie, the current time point).

Thereafter, as time passes, the daily sales data is continuously updated, and when September 10 is reached, the reference date corresponding to the promotion time is detected as September 10 by the detection unit 130, so that it can be detected that the promotion time has arrived.

Referring to FIG. 10 , in the graph, a graphic representing a change in the total cumulative sales volume of product A from the release date to the present is visually displayed (eg, displayed as a lead line), and the end of the graphic representing the total cumulative sales volume of product A (that is, current time), a thumbnail image of product A and "SLOW" indicating the current sales status may be displayed, and a highlight indicating that the promotion time is September 10, 2018 and the promotion time may be displayed.

As time passes and the daily sales data is continuously updated, even if the graphic representing the change in total cumulative sales of Product A is further extended, as long as the sales status of Product A does not change, the thumbnail image and the date and highlight of the promotion will not move from September 10, the promotion time.

Meanwhile, the display unit 140 of the service server 100 may display information indicating a plurality of sales states corresponding to a plurality of products on the screen of the shopping mall 10 differently from the above-described method.

11 is a flowchart illustrating a process for displaying information indicating a plurality of sales states corresponding to a plurality of products on a screen.

11 , the service server 100 includes a sales status display area including a first area corresponding to the first state, a second area corresponding to the second state, and a third area corresponding to the third state. can be displayed (step: S21). On the other hand, the service server 100 may extract a plurality of thumbnail images corresponding to a plurality of products from the database (step: S22).

Then, the service server 100 displays thumbnail images corresponding to the plurality of products according to the plurality of sales states corresponding to the plurality of products, corresponding to the first area, the second area, and the third area of the sales status display area. A thumbnail image may be inserted in the area to correspond to the individual sales status (step: S23).

12 is an exemplary diagram illustrating display of information indicating a plurality of sales states for a plurality of products on a screen.

As shown in FIG. 12 , the X axis of the graph displayed on the screen represents the sales activity value, and the Y axis represents the total cumulative sales volume. congrat

As for the thumbnail images of each product, the Y-axis and X-axis values are determined according to the total cumulative sales volume and sales activity value of the corresponding product, and the thumbnail image is inserted and displayed at the point where the determined X-axis and Y-axis intersect.

Accordingly, the user can easily recognize the sales status of each product by looking at the graph, and in particular, can recognize that a product with a thumbnail image in the “SLOW” area should be promoted.

13 exemplarily shows a graph displayed by inserting thumbnail images of actual products according to the display method of the graph shown in FIG. 12 .

As shown in FIG. 13 , the region where the sales activity value is less than 0.2, i.e., the third region, is denoted as the “LAGGERS” region, and the region where the sales activity value is greater than or equal to 0.2 and less than 0.7, that is, the second region, is designated as the “FOLLOWERS” region. is displayed, and the area in which the sales activity value is 0.7 or more, that is, the first area, may be displayed as a "FRONT RUNNERS" area. Each area is marked with a unique color to distinguish it from other areas.

For thumbnail images of each product, the Y-axis and X-axis values are determined according to the total cumulative sales volume and sales activity value of the product, and the thumbnail image is inserted at the point where the determined X-axis and Y-axis intersect. have.

Meanwhile, as mentioned above, the daily predicted sales volume may be calculated by the sales volume prediction unit. The sales volume prediction unit may predict the sales volume of the product, and may be provided in the shopping mall 10 , may be provided in a separate sales volume prediction server, or may be provided in the service server 100 . The product sales volume prediction may be at least one of a first prediction, a second prediction, and a third prediction.

The first prediction is to obtain information on cumulative daily sales of the first product up to a first time point, estimate parameters of a time series data analysis model using the acquired daily cumulative sales information, and analyze the time series data using the estimated parameters The average and standard deviation of the cumulative sales volume since the first time point are predicted using the model, and the maximum cumulative sales volume of the second time point after the first time point is predicted under a preset first reliability using the predicted cumulative sales volume average and standard deviation. value can be calculated.

For example, the time series data analysis model may be an Auto-Regressive Integrated Moving Average (ARIMA) model. Estimating the parameters of the time series data analysis model using the acquired daily cumulative sales information is, for example, by determining whether the time series data is in a steady state while changing at least one of a plurality of parameters of the ARIMA model. The values of the parameters may be determined, and parameters related to coefficients of at least some terms included in the equation of the ARIMA model may be estimated based on the determined values of the plurality of parameters.

The plurality of parameters are a first parameter (p) meaning the lag of an autoregression (AR) model, a second parameter (d) meaning the number of differences, and a moving average (MA) model It may include a third parameter (q) meaning a lag of.

The second prediction obtains daily sales information of the first product up to the first time point, and considers the first prediction model following a discrete probability distribution based on the daily sales information until a second time point that is later than the first time point may calculate the daily sales volume of the first product of Here, calculating the daily sales volume of the first product up to the second time point may include estimating the distribution of the parameters of the first prediction model through Bayesian inference.

The parameters of the first predictive model may include a first parameter associated with the maximum daily sales volume of the first product and a second parameter associated with an expected sales period of the first product. The discrete probability distribution may be, for example, a Poisson distribution. The value of the first parameter may be determined as a sales quantity at the time of initial sales of the first product.

Calculating the daily sales volume of the first product up to the second time point includes sampling the value of the first parameter and the value of the second parameter using the estimated distribution of the parameters of the first prediction model. and simulating the daily sales volume of the first period from the first time point by using the sampled first and second parameter values, and using the simulation result to calculate statistics associated with the daily sales volume of the first period. have.

The third prediction is to obtain daily sales quantity information up to a first time point of the first product, and to predict the sales quantity at a second time point later than the first time point of the first product, the obtained daily sales quantity information is used as training data to generate a first prediction model based on artificial intelligence, and the sales quantity of the first product at the second time point using the generated first prediction model based on the daily sales quantity information predictable.

The generating of the first predictive model includes learning the first predictive model while changing a value of a hyper parameter of the first predictive model using the daily sales quantity information, and the daily sales quantity information As a result of evaluating the learning performance using , the hyperparameter value having the best learning performance may be determined as the hyperparameter value of the first predictive model.

The first prediction model may include a Long Short Term Memory (LSTM) model. The learning data may include sales quantity information obtained by summing the sales quantity generated in units of the first period from the time of starting the sale.

Although preferred embodiments of the present invention have been exemplified and described above, those skilled in the art can variously modify and change the present invention within the scope without departing from the technical matters and scope of the present invention described in the claims below. It will be understood that this can be done. Accordingly, modifications of future embodiments of the present invention will not depart from the teachings of the present invention.

10 : shopping mall
100 : service server
110: receiver
120: arithmetic unit
130: detection unit
140 ㅣ Display
150: transmission unit

Claims (24)

In the method of displaying a promotion time performed by a server interworking with a shopping mall,
collecting daily sales volume from a release date for a plurality of products from the shopping mall;
calculating sales activity values for a plurality of products by reference day based on the collected daily sales volume;
detecting a reference date corresponding to a promotion time of the plurality of products based on the calculated sales activity values for each reference day; and
Displaying information indicating a reference date corresponding to the promotion time of the plurality of products on one screen,
Calculating the sales activity value includes:
calculating the cumulative sales volume for a second period for each reference date after the release date of the first product, wherein the second period is a period from the start date to the reference date and is included in the first period;
calculating a maximum cumulative sales volume that is a maximum value among cumulative sales volume during a second period for each reference date;
calculating a sales activity value for each reference date corresponding to the first product based on the calculated cumulative sales volume and the maximum cumulative sales volume;
Calculating a sales activity value for each reference day corresponding to the first product includes:
and dividing the cumulative sales volume for each reference day corresponding to the first product by the maximum cumulative sales volume for each reference date.
delete delete The method of claim 1, wherein the detecting of a reference date corresponding to the plurality of promotion time points comprises:
determining a reference date corresponding to a point in time when the sales activity value of the first product transitions below a set value as a promotion time of the first product; and
and determining a reference date corresponding to a time when a set period elapses after the sales activity value of the first product transitions below a set value as the promotion time of the first product. .
The method of claim 1, wherein the detecting of a reference date corresponding to the plurality of promotion time points comprises:
detecting a plurality of sales states corresponding to sales activity values for each reference day for the plurality of products; and
and determining a reference date corresponding to a promotion time for the plurality of products based on the plurality of sales states.
The method of claim 5, wherein the sales status is:
a first state in which the sales activity value is equal to or greater than the first value, indicating that the product is being actively sold;
a second state in which a sales activity value is greater than or equal to a second value less than the first value and less than the first value, wherein the product represents a normal level of sales; and
The method for displaying a promotion time, characterized in that the sales activity value is less than the second value, and any one of the third states indicating that the sale of the product is slowing.
The method of claim 6, wherein the detecting of a reference date corresponding to a promotion time of the plurality of products comprises:
determining a reference date at which the sale state of the first product transitions to the third state as the promotion time of the first product; and
When the sale state of the first product transitions to the third state and a third period elapses from the third state, determining a reference date at which the third period elapses as the promotion time of the first product Promotion time display method, characterized in that any one.
The method of claim 6, further comprising displaying information indicating a plurality of sales states corresponding to a plurality of products on the screen.
The method of claim 8, wherein the displaying of information indicating a plurality of sales states corresponding to the plurality of products on the screen comprises:
displaying a sales status display area including a first area corresponding to the first condition, a second area corresponding to the second condition, and a third area corresponding to the third condition;
extracting a plurality of thumbnail images corresponding to the plurality of products from a database; and
and inserting thumbnail images corresponding to the plurality of products into corresponding areas among the first, second, and third areas of the sales status display area according to the plurality of sales states corresponding to the plurality of products. A method of displaying a promotion time, characterized in that.
According to claim 1, wherein the daily sales volume,
daily sales prior to the current point in time; and
Promotion time display method, characterized in that it includes at least one of the predicted daily sales volume predicted daily sales after the current point in time.
a receiving unit for collecting daily sales volume from a release date for a plurality of products from a shopping mall;
a calculation unit for calculating sales activity values for a plurality of products by reference day based on the collected daily sales volume;
a detection unit configured to detect a reference date corresponding to a promotion time of the plurality of products based on the calculated sales activity values for each reference day; and
and a display unit for displaying information indicating a plurality of reference dates corresponding to the promotion timing of the plurality of products on the screen,
The calculation unit,
Calculating the cumulative sales volume for a second period for each reference date after the release date of the first product, calculating the maximum cumulative sales volume that is the maximum value among the cumulative sales volume for the second period for each reference date, and based on the calculated cumulative sales volume and the maximum cumulative sales volume to calculate the sales activity value for each reference day corresponding to the first product,
the second period is a period from the start date to the reference date and is included in the first period;
The calculation unit,
Promotion point display device, characterized in that by dividing the cumulative sales volume for each reference day corresponding to the first product by the maximum cumulative sales volume for each reference date.
delete delete The method of claim 11, wherein the detection unit,
determining a reference date corresponding to the point in time when the sales activity value of the first product transitions below the set value as the promotion time of the first product;
and determining a reference date corresponding to a time point when a set period elapses after the sales activity value of the first product transitions below a set value as the promotion time of the first product.
The method of claim 11, wherein the detection unit,
Detecting a plurality of sales states corresponding to the sales activity values for each reference date for the plurality of products, and determining a reference date corresponding to a promotion time for the plurality of products based on the plurality of sales states Promotion point display device.
The method of claim 15, wherein the sales status is
a first state in which the sales activity value is equal to or greater than the first value, indicating that the product is being actively sold;
a second state in which a sales activity value is greater than or equal to a second value less than the first value and less than the first value, wherein the product represents a normal level of sales; and
The promotion time display device, characterized in that the sales activity value is less than the second value, and is in any one of the third states indicating that the sale of the product is slowing.
The method of claim 16, wherein the detection unit,
determining the reference date at which the sales state of the first product transitions to the third state as the promotion time of the first product;
When the sale state of the first product transitions to a third state and a third period elapses from the third state, a reference date at which the third period elapses is determined as a promotion time of the first product Promotion timing display device.
The method of claim 16, wherein the display unit,
Promotion point display device, characterized in that for displaying information indicating a plurality of sales states corresponding to a plurality of products on the screen.
The method of claim 18, wherein the display unit,
displaying a sales status display area including a first area corresponding to the first state, a second area corresponding to the second condition, and a third area corresponding to the third condition;
Extracting a plurality of thumbnail images corresponding to the plurality of products from the database,
Thumbnail images corresponding to the plurality of products according to the plurality of sales states corresponding to the plurality of products are inserted into corresponding areas among the first, second, and third areas of the sales status display area Promotion point display device.
The method of claim 11, wherein the daily sales volume,
daily sales prior to the current point in time; and
Promotion point display device, characterized in that it comprises at least one of the daily predicted sales volume predicted daily sales after the current point in time.
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