KR102626897B1 - System for market analysis using sales data, method for market anaylsis using sales data and computer program for the same - Google Patents

Abstract

The market analysis service system includes: a receiving module configured to receive sales data including product information for one or more products and customer information that purchased the one or more products; an analysis module configured to generate market analysis information for the one or more products based on the sales data; and a user service module configured to provide the market analysis information to a user device. The user service module is further configured to receive user input defining a market to be analyzed based on one or more of point of sale, product type, seller, raw material, price, and consumer. In addition, based on the user input, the analysis module extracts one or more products to be analyzed from the sales data, and one or more of customer characteristic information, sales performance information, and product composition information of the one or more products to be analyzed. It may be configured to generate the market analysis information.

Description

Market analysis service system using sales data, market analysis method, and computer program for the same {SYSTEM FOR MARKET ANALYSIS USING SALES DATA, METHOD FOR MARKET ANAYLSIS USING SALES DATA AND COMPUTER PROGRAM FOR THE SAME}

Embodiments relate to a market analysis service system, a market analysis method, and a computer program therefor. More specifically, embodiments define the target market for analysis using various criteria such as point of sale, product type, seller, raw materials, price, and consumer according to the user's needs, and determine whether the market can be sold well in the target market based on sales data. It is about technology that generates analysis information about the market, such as existing products or consumer groups with a high probability of purchasing a product.

Conventional market data analysis services are mainly traditional services centered on small data such as surveys. Recently, thanks to the development of information technology, high-value big data is being produced in real time, and although artificial intelligence-based analysis technology is rapidly developing, the cost for analysis is high and requires intensive investment of manpower and time. Due to the characteristics of market data analysis, the introduction of automated analysis technology is slow in the market data analysis field.

Meanwhile, recently, products are often sold through group purchasing through so-called influencers who have influence on a large number of consumers through social networking services (SNS), etc., and existing market analysis The technique has limitations that make it difficult to apply to this new transaction form. Companies that want to plan and sell products or influencers who want to sell products need to carefully decide which products to sell in the future based on various criteria such as sales point, product type, seller, raw materials, price, and consumer. There is no analytics technology or platform that can meet the need.

Registered Patent Publication No. 10-1778594

According to one aspect of the present invention, the target market for analysis is defined using various criteria such as point of sale, product type, seller, raw material, price, and consumer according to the user's needs, and the target market for analysis is defined based on sales data. We can provide a market analysis service system that can generate analysis information about the market, such as existing products or consumer groups with a high probability of purchasing the product, market analysis methods, and computer programs for the same.

A market analysis service system according to one aspect of the present invention includes a receiving module configured to receive sales data including product information about one or more products and customer information who purchased the one or more products; an analysis module configured to generate market analysis information for the one or more products based on the sales data; and a user service module configured to provide the market analysis information to a user device.

At this time, the user service module is further configured to receive user input defining the market to be analyzed based on one or more of point of sale, product type, seller, raw material, price, and consumer. In addition, based on the user input, the analysis module extracts one or more products to be analyzed from the sales data, and one or more of customer characteristic information, sales performance information, and product composition information of the one or more products to be analyzed. and further configured to generate the market analysis information.

In one embodiment, the purchasing customer characteristic information includes one or more of new purchase status, reorder status, and region.

In one embodiment, the sales performance information includes one or more of sales volume, number of sales events, and sales per customer price.

In one embodiment, the product composition information includes one or more of manufacturer, brand, raw material, and price per unit capacity.

In one embodiment, the analysis module is further configured to generate recommendation information defining characteristics of a product to be sold based on one or more of product types and product configurations that have relatively high sales performance in the analysis target market. At this time, the user service module is further configured to provide the recommendation information to the user device.

A market analysis method according to an aspect of the present invention includes the steps of a market analysis service system receiving sales data including product information about one or more products and customer information who purchased the one or more products; The market analysis service system receiving user input defining a market to be analyzed; generating, by the market analysis service system, market analysis information for the one or more products based on the user input; and providing, by the market analysis service system, the market analysis information to a user device.

At this time, the user input defines the market to be analyzed based on one or more of point of sale, product type, seller, raw material, price, and customer, and the step of generating the market analysis information includes the market analysis service system, Based on the user input, extracting one or more products to be analyzed and one or more of customer characteristic information, sales performance information, and product composition information of the one or more products to be analyzed from the sales data based on the user input.

A market analysis method according to an embodiment includes the market analysis service system providing recommendation information that defines the characteristics of a product to be sold based on one or more of product types and product compositions with relatively high sales performance in the analysis target market. generating a; And the market analysis service system further includes providing the recommendation information to the user device.

The computer program according to one aspect of the present invention is combined with hardware to execute the above-described market analysis method and may be stored in a computer-readable recording medium.

By using the market analysis service system and method according to one aspect of the present invention, users such as sellers such as manufacturers who plan and sell products or influencers who want to sell products can determine the point of sale according to their needs. , define the target market for analysis using various criteria such as product type, seller, raw materials, price, and consumer, and easily receive analysis information about the market, such as products that can sell well in the target market or consumer groups with a high probability of purchasing the product. There are benefits to seeing.

In particular, by using the market analysis service system and method according to one aspect of the present invention, (i) new purchase rate, (ii) cumulative number of orders, (iii) sales relative to number of tools, etc., which could not be confirmed in conventional market data analysis services, By analyzing product characteristics expected to have high sales performance based on detailed information such as (iv) preferred raw materials, (v) price per unit capacity, etc., the advantage is that it is easy to confirm the product group and detailed specifications of the product that are actually preferred in the market. There is.

1A is a schematic block diagram of a market analysis service system according to an embodiment.
FIG. 1B is a block diagram showing the configuration of a computing device configured with a market analysis service system according to an embodiment.
Figure 2 is a flowchart showing each step of the market analysis method according to one embodiment.
3 is a conceptual diagram of an exemplary user interface (UI) showing the results of analyzing a product by a market analysis method according to an embodiment.
4 is a conceptual diagram of another exemplary UI showing the results of analyzing a product using a market analysis method according to an embodiment.
Figure 5 is a conceptual diagram of an example UI showing the results of analyzing the intake price per unit dose of a product by a market analysis method according to an embodiment.
Figure 6 is a conceptual diagram of an example UI showing the results of analyzing the price per unit capacity of a product using a market analysis method according to an embodiment.
7A and 7B are conceptual diagrams of an example UI showing the results of analyzing the raw materials of a product using a market analysis method according to an embodiment.
Figure 8 is a conceptual diagram of an example UI showing the results of analyzing product distribution by price range using a market analysis method according to an embodiment.

Below, several exemplary embodiments of the present invention will be discussed in detail.

The market analysis service system according to embodiments may have aspects that are partly hardware and partly software. For example, the market analysis service system according to embodiments may collectively refer to hardware and related software for processing or/or exchanging data of a specific format and content through electronic communication. In this specification, terms such as “unit,” “module,” “device,” “terminal,” “server,” or “system” are intended to refer to a combination of hardware and software driven by the hardware. For example, hardware may be a data processing device that includes a CPU or other processor. Additionally, software driven by hardware may refer to a running process, object, executable, thread of execution, program, etc.

1A is a schematic block diagram of a market analysis service system according to an embodiment.

Referring to FIG. 1A, the market analysis service system 3 according to an embodiment receives sales data by communicating with one or more servers 1, and provides market analysis information generated based on the sales data to one or more users. It may be configured to provide to device 2. For example, the market analysis service system 3 may be operated through an application service server that enables the functionality of an application running on the user device 2, or a web browser running on the user device. It may be a web server that provides a viewable web page, but is not limited to this.

In addition, in this specification, the user device 2 is explained by taking a smartphone as an example, but the device used by users to communicate with the market analysis service system 3 is not limited to this, and users The device used is a set-top box for other mobile communication terminals, personal computers, laptop computers, personal digital assistants (PDAs), tablets, and Internet Protocol Televisions (IPTVs). etc. may be implemented in the form of any computing device.

In order to provide market analysis information to the user through communication with the user device 2, or to receive information entered by the user from the user device 2, the market analysis service system 3 uses a wired and/or wireless network. It can be configured to communicate with the user device 2 through. Additionally, the market analysis service system 3 may be configured to communicate with one or more servers 1 to receive sales data. Communication methods through wired and/or wireless networks may include objects and all communication methods through which objects can be networked, and are not limited to wired communication, wireless communication, 3G, 4G, or other methods.

For example, wired and/or wireless networks include Local Area Network (LAN), Metropolitan Area Network (MAN), Global System for Mobile Network (GSM), Enhanced Data GSM Environment (EDGE), and High Speed Downlink Packet Access (HSDPA). , W-CDMA (Wideband Code Division Multiple Access), CDMA (Code Division Multiple Access), TDMA (Time Division Multiple Access), Bluetooth, Zigbee, Wi-Fi, VoIP (Voice) over Internet Protocol), LTE Advanced, IEEE802.16m, WirelessMAN-Advanced, HSPA+, 3GPP Long Term Evolution (LTE), Mobile WiMAX (IEEE 802.16e), UMB (formerly EV-DO Rev. C), Flash-OFDM, iBurst and MBWA (IEEE 802.20) systems, HIPERMAN, Beam-Division Multiple Access (BDMA), Wi-MAX (World Interoperability for Microwave Access), and ultrasonic communication. However, it is not limited to this.

In one embodiment, the market analysis service system 3 includes a reception module 31, an analysis module 32, and a user service module 33. In one embodiment, the analysis module 32 includes one or more of a customer analysis unit 321, a sales performance analysis unit 322, and a product analysis unit 323. Additionally, in one embodiment, the market analysis service system 3 may further include a product recommendation unit 324. Furthermore, in one embodiment, the market analysis service system 3 may further include an interface unit 325.

The receiving module 31 is configured to receive sales data including product information about one or more products and customer information who purchased the one or more products from one or more servers 1. The server 1 that provides sales data may be a server corresponding to a manufacturer that plans or sells products, or may be a server that corresponds to a seller that sells the manufacturer's products. For example, the server 1 may be a shopping mall server such as an open market that sells products from multiple manufacturers.

The analysis module 32 is configured to generate market analysis information for one or more products based on sales data received in the receiving module 31 . At this time, market analysis information may refer to information generated by extracting and/or processing one or more analysis target products and customer characteristics, sales performance, product composition, etc. related to these analysis target products from sales data. To extract and/or process such information, the analysis module 32 may include one or more of a customer analysis unit 321, a sales performance analysis unit 322, and a product analysis unit 323, and may be used for each operation. This will be described in detail later.

In one embodiment, the analysis module 32 further includes a product recommendation unit 324. The product recommendation unit 324 is configured to generate recommendation information to recommend to the user of the user device 2 the characteristics of the product to be sold based on the product type and/or product composition with relatively high sales performance in the analysis target market. It can be. For example, recommendation information may include product composition identified as preferred in the market (e.g., manufacturer, brand, raw materials, price per unit capacity, etc.) or customer characteristics (new purchase, new purchase, etc.) for a specific product or product group in the target market. It can be decided based on whether to reorder, region, etc.). In addition, market preference for a product may be determined based on sales performance (sales volume, number of sales events, unit sales price, etc.).

Also in one embodiment, the analysis module 32 includes an interface portion 325. The interface unit 325 processes market analysis information according to a user interface (UI) to provide market analysis information and/or recommendation information to users in an easy-to-view visual manner according to the information to be examined in the analysis target market. , It functions to transmit processed information to the user service module 33. Exemplary processing forms of market analysis information will be described in detail later with reference to FIGS. 3 to 8.

The user service module 33 is configured to provide market analysis information generated by the analysis module 32 to the user device 2. In one embodiment, the user service module 33 receives and analyzes user input from a user of the user device 2 defining a market to be analyzed based on point of sale, product type, seller, raw materials, price and/or consumer, etc. It can also be passed to the module 32. Additionally, when market analysis information corresponding to user input is generated in the analysis module 32, the user service module 33 may transmit the market analysis information to the user device 2 based on a predetermined UI. Additionally, in one embodiment, the user service module 33 may further transmit recommendation information generated by the product recommendation unit 324 to the user device 2.

The market analysis service system 3 and/or the user device 2 communicating therewith according to the embodiment described above with reference to FIG. 1A may be implemented using hardware of a computing device. FIG. 1B is a block diagram showing the configuration of a computing device configured with a market analysis service system according to an embodiment. This computing device 200 can be applied to the market analysis service system 3 or the user device 2 described above with reference to FIG. 1A, and each device and server are configured by adding or excluding some components to be the same or similar. Can have internal configuration.

Referring to FIG. 1B, the computing device 200 may include a memory 210, a processor 220, a communication module 230, and a transceiver 240. The memory 210 is a non-transitory computer-readable recording medium, and is a non-perishable large capacity device such as random access memory (RAM), read only memory (ROM), disk drive, solid state drive (SSD), flash memory, etc. It may include a permanent mass storage device. Here, non-perishable mass storage devices such as ROM, SSD, flash memory, disk drive, etc. may be included in the above-mentioned device or server as a separate persistent storage device that is distinct from the memory 210. In addition, the memory 210 stores an operating system and at least one program code (for example, code for a browser installed and running on the user device 2, etc., or an application installed on the user device 2 to provide a specific service, etc.). It can be. These software components may be loaded from a computer-readable recording medium separate from the memory 210. Such separate computer-readable recording media may include computer-readable recording media such as floppy drives, disks, tapes, DVD/CD-ROM drives, and memory cards.

In another embodiment, software components may be loaded into the memory 210 through the communication module 230 rather than a computer-readable recording medium. For example, at least one program is a computer program (for example, installed by files provided through the network 1) by developers or a file distribution system (for example, the server described above) that distributes the installation file of the application. It may be loaded into the memory 210 based on the application described above).

The processor 220 may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input/output operations. Commands may be provided to the processor 220 by the memory 210 or the communication module 230. For example, processor 220 may be configured to execute received instructions according to program code stored in a recording device such as memory 210.

The communication module 230 may provide a function for the market analysis service system 3 and the user device 2 to communicate with each other through a network, and the market analysis service system 3 and/or the user device 2 may It can provide functions for communicating with other electronic devices.

The transceiver unit 240 may be a means for interfacing with an external input/output device (not shown). For example, external input devices may include devices such as a keyboard, mouse, microphone, and camera, and external output devices may include devices such as a display, speaker, and haptic feedback device.

As another example, the transceiver 240 may be a means for interfacing with a device that integrates input and output functions, such as a touch screen.

Additionally, in other embodiments, computing device 200 may include more components than those of FIG. 1B depending on the nature of the device to which it is applied. For example, when the computing device 200 is applied to the user device 2, it is implemented to include at least some of the above-described input/output devices, or a transceiver, a Global Positioning System (GPS) module, a camera, various sensors, It may further include other components such as a database, etc. As a more specific example, if the user device is a smartphone, the smartphone generally includes various devices such as acceleration sensors, gyro sensors, camera modules, various physical buttons, buttons using a touch panel, input/output ports, and vibrators for vibration. It can be implemented to include more components.

The following description will be made based on a computing device operating based on FIG. 1B. Here, the market analysis service may be provided based on the above-described computing device 200 and a server communicating therewith. As an example, a market analysis service may be provided to a user based on at least one of applications, software, and other programs that operate based on the computing device 200 and the server. As an example, a user may be provided with a market analysis service directly through the computing device 200 or through a separate device that communicates with the computing device 200. Here, content provided through the market analysis service may be controlled by the server. Additionally, market analysis services may be provided to users using information generated through various servers.

Additionally, market analysis information and/or recommendation information for the market analysis service may be generated based on information input by a user receiving the market analysis service. Here, the user information may be information that the user inputs through at least one of applications, software, and other programs that provide market analysis services. Additionally, as an example, user information may be information provided to a market analysis service platform (or system) based on applications and other software used by the user, rather than directly input by the user. Furthermore, user information may be information that is automatically obtained at the time the user registers with the market analysis service platform or based on the user's actions.

Figure 2 is a flowchart showing each step of the market analysis method according to one embodiment. For convenience of explanation, the market analysis method according to this embodiment will be described below with reference to FIGS. 1A and 2.

First, the market analysis service system 3 may receive sales data including information on one or more products and information on customers who purchased them from one or more servers 1. At this time, server 1 may refer to a server such as a manufacturer, seller, or open market. Additionally, in one embodiment, sales data may include sales channels of one or more products (e.g., seller information, group purchase through an influencer, etc., the influencer's Social Networking Service (SNS) ID, etc. ) may also include more information about.

In one embodiment, the market analysis service system 3 may receive user input defining an analysis market from a user who wishes to analyze the market using the market analysis service system 3. For example, user input may be received from the user device 2 to the market analysis service system 3 . User input is information that specifies the point of sale, product type, seller, raw materials, price, consumer, etc. related to the product the user wishes to analyze, and is used to determine the target product or product group.

The market analysis service system (3) defines the analysis target market, that is, the product or product group that is a potential sales target, based on user input (S3), and determines purchasing customer characteristics, sales performance, and/or information related to the product or product group. Alternatively, product composition can be extracted from sales data (S4). The information extracted in this way can be processed into market analysis information for the market desired by the user (S5) and provided to the user (S7). For example, market analysis information may refer to purchasing customer characteristics, sales performance, and/or product composition for a specific product or product group, or information obtained from such information through processing into the form or UI of the information. It may be referring to it.

In one embodiment, purchasing customer characteristic information refers to the characteristics of customers who purchased products or product groups included in the analysis target market and may refer to new purchases, reorders, and/or regions. At this time, a new customer may refer to a customer who made a purchase for the first time in a specific time period (e.g., the relevant year), and a reordering customer (i.e., an existing customer) may refer to a customer with a purchase history before the relevant time period. Additionally, purchasing customer characteristic information may be obtained by comparing the characteristics of purchasing customers at multiple times in the past (eg, group purchase).

In one embodiment, sales performance information may mean sales volume, number of sales events, and unit sales price for products or product groups included in the analysis target market. For example, sales performance information may include analysis results for a limited number of products extracted from the market by sales volume or number of sales events. In this specification, a sales event refers to a business activity that is temporary in time and/or limited to the target area and/or customer, rather than the seller's normal business activity, for example, a manufacturer or influencer. An example is a group purchase conducted by Unseo and others as sellers, but it is not limited to this.

In one embodiment, product composition information may mean the manufacturer, brand, raw materials, and/or price per unit capacity for one or more products or product groups included in the market to be analyzed. In this case, the price per unit capacity means that the price per unit volume or unit weight is calculated by dividing the product price by the unit volume or unit weight based on the volume (e.g., ml) or weight (e.g., g) of the product. At this time, the volume or weight used as a unit may vary depending on the characteristics of the product. For example, in the case of food, the unit may be the volume or weight corresponding to one serving, but is not limited to this.

The purchasing customer characteristic information, sales performance information, and product composition information described above will be generated by the customer analysis unit 321, sales performance analysis unit 322, and product analysis unit 323 of the market analysis service system 3, respectively. You can. The analysis module 32 of the market analysis service system 3 may generate market analysis information for the analysis target market using one or more of purchasing customer characteristic information, sales performance information, and product composition information. For example, market analysis information may be information obtained by analyzing the past sales performance of a specific product or product group based on the purchasing customer characteristics of customers who purchased the product and/or the product composition of the product or product group.

Below, some non-limiting examples of market analysis information obtained from purchasing customer characteristic information, sales performance information, and/or product composition information will be described in detail.

In one embodiment, the market analysis service system 3 uses customer characteristic information to provide information about products or product groups frequently purchased by consumers with specific characteristics (e.g., new customers, reordering customers, customers from specific regions, etc.). It can be created with market analysis information. For example, if we take the example of identifying customer characteristics by product type (also referred to as product group) for cosmetics, in this embodiment, the market analysis service system 3 determines sales by new customers among the sales results. By extracting sales performance by performance and/or repurchasing customers, information such as [Products frequently purchased by new customers] or [Products with many repurchases] can be generated as market analysis information.

As another example, the market analysis service system (3) classifies the sales performance of products or product groups by customer region, providing information on products or product groups preferred by consumers in a specific region or information comparing preferences between each product or product group. can also be created as market analysis information. For example, the market analysis service system (3) shows that [in Gyeonggi-do, the sales volume is high in the order of wash-off pack, cream, lotion, essence/serum/ampoule, and bath salt, and in Incheon Metropolitan City, cream, wash-off pack, essence/serum/ampoule, Information such as [Lotion and bath salts have the highest sales volume in that order] can also be generated as market analysis information. Alternatively, the market analysis service system 3 may generate market analysis information by comparing sales performance (eg, unit sales price, cumulative purchase amount, etc.) for each region.

In another embodiment, the market analysis service system 3 may generate market analysis information by classifying purchasing customer characteristics according to the point of sale. At this time, the point of sale may refer to the date and time when the sale was made, or if there was a sales event such as group purchase, it may be defined based on the date and time of this event. Additionally, the market analysis service system 3 may generate market analysis information about the proportion of new customers or product lines frequently purchased by new customers in a specific sales event.

For example, market analysis information may include the number of new customers compared to the number of group purchases, as illustrated in Table 1 below. Based on the ratio of the number of sales by new customers among the sales data by date and time of sales events as shown in Table 1 below, identify times when the ratio of new customers is relatively high or when the ratio of new customers is relatively low. By doing so, you can derive market analysis information that is helpful for future product sales.

Group purchase date and time All new members Number of group purchases ratio january 146 38 3.842105 february 336 44 7.636364 March 209 23 9.086957 april 298 26 11.46154 In May 197 28 7.035714 June 74 11 6.727273

Additionally, in one embodiment, the market analysis service system 3 may generate market analysis information in the form of secondary information by processing each sales performance indicator into other indicators among the sales performance information. For example, market analysis information may include sales volume compared to the number of events calculated using the number of sales events (eg, group purchases) and sales volume. For example, sales volume relative to the number of events can be calculated as illustrated in Table 2 below.

Products with many group purchases Most sold products product name Number of group purchases product name number of sales AAA tonight 26 IIIGel Mask 934 BBB derma cream 22 BBB derma cream 634 CCC bath salts 20 FFF lotion 520 DDD line filler 15 AAA tonight 382 EEE Defigmenting 14 HHH mask 345 FFF lotion 13 GGG Care 221 GGG Care 13 CCC bath salts 218 HHH mask 12 EEE Defigmenting 141 IIIGel Mask 9 KKK lifting booster 140 JJJ Gel Mask 9 LLL Sponge Clean Chip 115 KKK lifting booster 9

The two left columns of Table 2 show products ranked from 1st to 10th in order of number of group purchases, and the two right columns of Table 2 show products ranked from 1st to 10th in order of number of sales. It represents. Comparing the two columns on the left and the two columns on the right in Table 2, [DDD Line Filler] and [JJJ Gel Mask] have held many sales events, but are not in the list of most sold products. Conversely, [LLL Sponge Clean Chip] has the highest number of group purchases. It is not in the top list, but it is in the top 10 in the list of most sold products. Meanwhile, [III Gel Mask] is also present in the list of products with a high number of group purchases and also in the top list of sold products.

As described above, the actual market can be easily quantified by going beyond the one-dimensional market indicators and using two or more indicators to use the processed market response as market analysis information.

Additionally, in one embodiment, the market analysis service system 3 may generate market analysis information about product composition (eg, manufacturer, brand, raw materials, price per unit capacity, etc.) frequently purchased by customers. For example, the market analysis service system (3) determines the products in the “cosmetics” category that customers purchase the most, as shown in Table 3 below, based on information on the original ingredients or main ingredients of products that are at the top in sales performance. Information on raw materials can also be generated as market analysis information.

main ingredient number of products Aloe vera leaf juice 945 mango extract 934 melon extract 934 Salvia leaf extract 934 Pitaya extract 934 squalane 934 olive oil 615 shea butter 418 rice bran wax 413 ectoin 413

Additionally, in one embodiment, the market analysis service system 3 may generate the results of comparing sales performance at multiple time points as market analysis information. For example, the results of the analysis of the raw materials of products belonging to the “cosmetics” product group at the first time point are as shown in Table 3 above, but the results of the analysis of the sales data at the second time point after the first time point show that the main raw materials of the products of the product group Assume that the frequency has changed as shown in Table 4 below.

main ingredient number of products squalane 631 Aloe vera leaf juice 471 mango extract 465 melon extract 465 Salvia leaf extract 465 Pitaya extract 465 Benzyl salsicylate 376 Sea salt 376 Spices 376

In this case, comparing Table 3 and Table 4, the markets at the first and second points in time show that “aloe vera leaf juice,” “mango extract,” “melon extract,” and “salvia leaf extract” are included at the top. Although the analysis results are similar, there is a difference in that the "squalane" raw material overwhelmingly ranked first in the market analysis at the second time. In this case, the market analysis service system 3 can generate market analysis information based on changes in market preferred raw materials confirmed through analysis results at multiple time points.

In addition, in one embodiment, the market analysis service system 3 is also capable of generating market analysis information by complexly using information on products ranked at the top based on sales performance and indicators on raw materials. For example, among the raw materials that appear at the highest frequency in a specific product group, they are included in the products that are at the top based on sales performance (e.g., the top n products based on sales performance; n is an arbitrary natural number). You can extract only existing raw materials and generate information about the raw materials as market analysis information, or you can generate market analysis information by comparing the extracted raw materials at multiple points in time.

In the above, comparison between points in time was explained targeting one indicator of product composition called raw materials, but it is important for those skilled in the art to understand that the same principle may be applied to one or more other detailed indicators of purchasing customer characteristics, sales performance, and/or product composition. It will be easily understood. For example, the market analysis service system (3) is based on the sales performance of the product or product group and the customer's region, and the cumulative purchase amount or number of orders by region, sales per customer price by region, preferred product line by region, etc. change over multiple points in time. Information on market trends can also be generated as market analysis information.

In one embodiment, the market analysis service system 3 may generate recommendation information for products to be sold by the user in the future based on the user's information (S6) and further provide this to the user along with the market analysis information (S7) ). At this time, recommended information provides information about products that the user would like to sell in the future based on product specifications (manufacturer, price, raw materials, etc.) entered directly by the user or other information entered by the user (e.g., company information, etc.). It may be for recommendation.

For example, users using the market analysis service system (3) can enter the manufacturer, price, raw materials, etc. of interest before or after checking the market analysis information, and provide the market analysis service. The system 3 can extract products that meet the conditions entered by the user from sales data and provide them to the user as recommended information.

Alternatively, the market analysis service system (3) extracts purchasing customer characteristics and/or product compositions that have received good market response from the user's past sales data, and targets customers with the corresponding characteristics to produce products with the corresponding product composition in order to increase sales. You can also create recommended information about conducting a sales event for . For example, recommendation information may include (1) information about products, product lines, or raw materials that had high sales volume relative to the number of sales events, (2) products preferred by customers in regions with high cumulative order volume (manufacturer, brand, or specific product, etc.) ), information on product groups or raw materials, (3) information on products, product groups, or raw materials with a high reorder rate by customers, (4) information on products that customers are likely to order at the same time. It is not limited.

In addition, the market analysis service system (3) analyzes product types and/or product compositions with relatively high sales performance in the analysis target market even in the absence of conditions directly specified by the user, and analyzes the size of users (i.e., number of people), It is also possible to receive user information such as sales volume, SNS ID in the case of influencers, and automatically determine products to recommend based on this. The above operation may be performed by the product recommendation unit 324 of the analysis module 33.

For example, the market analysis service system 3 may extract reference seller information that can be compared to the user from sales data based on the number of users, sales amount, SNS ID, etc. At this time, the reference seller is a person with a similar size, sales, or depth of personal relationship through SNS (e.g., number of postings, number of followers, number of comments, number of likes, etc.) as the user of the market analysis service system (3). May refer to other sellers. Alternatively, a reference seller refers to another seller who has conducted a similar number or sales volume of sales events as the user, based on the number of sales events (e.g., group purchases) or sales scale (e.g., quantity of group purchased products) held in the past. It can be referred to.

In order to obtain information on the number of people and sales of reference sellers, the market analysis service system (3) can search corporate information or invoice information online, such as the Electronic Disclosure System (DART) server (not shown) or the Hometax service server (not shown). It can be connected to communicate with available service servers. Additionally, the market analysis service system 3 may be communicatively connected to one or more SNS servers (not shown) to confirm the number of past sales events and sales volume of the reference seller. Alternatively, in another embodiment, information about the reference seller may be directly entered into the market analysis service system 3 by the user.

When the reference seller information is extracted, the market analysis service system (3) extracts the purchasing customer characteristics and/or product composition that had relatively high sales performance from the reference seller's past sales data, and based on this, it is recommended that the user proceed in the future. Information defining the target customer or product composition of the group purchase event can be provided to the user as recommended information.

For example, the market analysis service system (3) uses the reference seller's past sales data as key indicators such as (i) purchase rate of new customers, (ii) cumulative number of orders, (iii) sales performance compared to the number of sales events, (iv) ) preferred raw materials, and (v) price per unit dose. Among the calculated indicators, (i) to (iii) can be used to specify products or product groups that sellers similar to the user have achieved good performance in the market. In addition, (iv) and (v) among the calculated indicators can be used to recommend the composition of products that users would like to sell.

More specifically, from the sales performance of the reference seller, extract product lines that were purchased with a high frequency by new customers, had a high number of cumulative orders, or/or had high sales volume or sales amount relative to the number of sales events, and extracted in this way. Within the selected product group, products with market-preferred raw materials and price per unit capacity can be recommended to users as products for future joint purchase. At this time, the market's preferred raw materials and/or price per unit dose may be determined based on the general market response for the product product line, or may be determined based on the past sales performance of the reference seller.

Meanwhile, the market analysis information and/or recommendation information according to the embodiments of the present invention described above may be processed to have a UI such as a graphical user interface that allows the user to easily check the information and provided to the user device 2. For example, the market analysis service system 3 according to embodiments provides market analysis information for the corresponding target market when the user inputs the point of sale, product type, seller, raw material, price, consumer, etc. to be analyzed. A dashboard-type UI that can be received in the form of an analysis report can also be provided.

Below, some non-limiting forms of providing market analysis information will be described with reference to FIGS. 3 to 8.

Figure 3 shows an example of a dashboard screen according to a market analysis method according to an embodiment, and shows information about manufacturers or brands that supply a lot in the analysis target market in the form of a square graph. Each square panel (301-303) of the square graph corresponds to a specific manufacturer or brand, and the size of the square panel (301-303) represents the delivery ratio of that manufacturer or brand in the overall market. This information can be the basis for users of the market analysis service system to decide which manufacturer or brand of product to sell in the future.

In addition, Figure 4 shows another example of a dashboard screen according to a market analysis method according to an embodiment, and shows what products sellers (eg, influencers) are selling in the relevant market by seller. The five types of graphs 401-405 shown in FIG. 4 each correspond to five influencers, and the number indicated by each bar of the graphs 401-405 represents the number of sales events for a specific product (e.g., group purchase). number of times). Users using the market analysis service system's dashboard can check the number of events in which a specific influencer sold a specific product by placing the cursor on a specific graph.

In addition, Figures 5 and 6 show another example of a dashboard screen based on a market analysis method according to an embodiment, showing the unit capacity (based on volume or weight) of products from manufacturers and brands with relatively high sales performance. It indicates the price.

In the case of Figure 5, the horizontal axis of the graph represents each manufacturer or brand, and the vertical axis represents the price per unit capacity (e.g., one serving). Additionally, in Figure 6, the horizontal axis of the graphs 601-604 represents each product, and the vertical axis represents the price per unit capacity. In the case of FIG. 6, graph 602 and graph 603 show the price per unit capacity of different products from the same manufacturer (or brand), and the average value is the price per unit capacity corresponding to the manufacturer (or brand). It was displayed as (1,430 won in the graph).

In addition, Figures 7a and 7b show another example of a dashboard screen based on a market analysis method according to an embodiment, and show the results of analyzing the raw materials of the product.

Figure 7a shows the raw materials that are frequently included in products in a specific product group in the market being analyzed, with each raw material shown on the horizontal axis and the number of times the raw material appears in the ingredients of products in the market being analyzed is shown on the vertical axis. In Figure 7a, the raw materials of the "Shampoo" product line are shown as examples, and raw materials such as "purified water", "rosemary leaf extract", "tea tree leaf oil", "peppermint oil", and "limone" mainly appear in the products. did.

Meanwhile, Figure 7b is another form showing the results of product raw material analysis and shows the frequency of product groups in which the raw material is commercialized when a specific raw material is selected. For example, a user of the market analysis service system selects a specific raw material (“purified water” in the case of FIG. 7b) from the graph of FIG. You can check the frequency of “Ampoule”, “Shampoo”, etc.

Furthermore, Figure 8 shows another example of a dashboard screen based on a market analysis method according to an embodiment, and shows the results of analyzing product distribution by price range. Referring to Figure 8, users of the market analysis service system can check the product distribution by price range in a specific product group, and by selecting a specific product, they can check the sales volume, average selling price, and sales share within the product group of the product.

However, the display form of the dashboard described above with reference to FIGS. 3 to 8 is merely exemplary, and the market analysis service system according to embodiments processes information in various other forms not shown in this specification to provide information to users. can be provided to.

Additionally, operations by the market analysis method according to embodiments may be implemented, at least in part, as a computer program including instructions executed using a processor, and may be recorded on a computer-readable recording medium. Computer-readable recording media on which programs for implementing operations according to market analysis methods according to embodiments are recorded include all types of recording devices that store data that can be read by a computer. Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disk, and optical data storage devices. Additionally, computer-readable recording media may be distributed across computer systems connected to a network, and computer-readable codes may be stored and executed in a distributed manner. Additionally, functional programs, codes, and code segments for implementing this embodiment can be easily understood by those skilled in the art to which this embodiment belongs.

The present invention discussed above has been described with reference to the embodiments shown in the drawings, but these are merely illustrative examples, and those skilled in the art will understand that various modifications and modifications of the embodiments are possible therefrom. However, such modifications should be considered within the technical protection scope of the present invention. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the attached claims.

Claims (11)

a receiving module configured to receive sales data including product information for one or more products and customer information that purchased the one or more products;
an analysis module configured to generate market analysis information for the one or more products based on the sales data; and
A user service module configured to provide the market analysis information to a user device,
The user service module is further configured to receive user input defining a market to be analyzed based on one or more of point of sale, product type, seller, price, and consumer,
The analysis module is,
Based on the user input, extracting product composition information including one or more products to be analyzed, sales performance information of the one or more products to be analyzed, and raw materials of the one or more products to be analyzed from the sales data,
At a first time, first raw material information is generated based on a preset number of raw materials of the analysis target product from the top based on sales performance in the analysis target market, and at a second time after the first time, the analysis target Generate second raw material information based on the preset number of raw materials of the analysis target product from the top based on sales performance in the market,
By comparing the number of products containing the raw material of the first raw material information at the first time point and the number of products containing the raw material of the second raw material information at the second time point, the first time point and the second It is further configured to generate changes in market preferred raw materials at the time as the market analysis information,
The sales performance information includes sales volume and number of sales events,
The analysis module is,
It is further configured to generate the market analysis information to further include information on the ratio of new customers by the time when the sales event is held, and information on the sales volume compared to the number of times the sales event is held,
A market analysis service system in which the new customer is a customer who purchases the product for the first time during a preset time period.
delete delete According to paragraph 1,
The product composition information is a market analysis service system that further includes one or more of manufacturer and price per capacity.
According to paragraph 1,
The analysis module is further configured to generate recommendation information defining characteristics of a product to be sold based on one or more of product types and product compositions with relatively high sales performance in the analysis target market,
The market analysis service system is further configured to provide the recommendation information to the user device.
A market analysis service system comprising: receiving sales data including product information about one or more products and customer information who purchased the one or more products;
The market analysis service system receiving user input defining a market to be analyzed;
generating, by the market analysis service system, market analysis information for the one or more products based on the user input; and
The market analysis service system includes providing the market analysis information to a user device,
The user input defines the target market for analysis based on one or more of point of sale, product type, seller, price, and customer,
The step of generating the market analysis information is,
The market analysis service system extracts product composition information including one or more products to be analyzed, sales performance information of the one or more products to be analyzed, and raw materials of the one or more products to be analyzed from the sales data based on the user input. Extracting step;
generating, by the market analysis service system, first raw material information based on a preset number of raw materials of the analysis target product from above based on sales performance in the analysis target market at a first time;
The market analysis service system generates second raw material information based on the preset number of raw materials of the analysis target product from the top based on sales performance in the analysis target market at a second time after the first time. step; and
The market analysis service system compares the number of products containing the raw material of the first raw material information at the first time and the number of products containing the raw material of the second raw material information at the second time, Including the step of generating the change in market preferred raw materials at the first time point and the second time point as the market analysis information,
The sales performance information includes sales volume and number of sales events,
In the step of generating the market analysis information, the market analysis service system further includes generating the market analysis information to include new customer ratio information by sales event progress time and sales volume information relative to the number of sales events. Includes,
A market analysis method in which the new customer is a customer who purchases the product for the first time during a preset time period.
delete delete According to clause 6,
The product composition information is a market analysis method that further includes one or more of manufacturer and price per capacity.
According to clause 6,
generating, by the market analysis service system, recommendation information defining characteristics of a product to be sold based on one or more of product types and product compositions with relatively high sales performance in the analysis target market; and
A market analysis method further comprising providing, by the market analysis service system, the recommendation information to the user device.
A computer program stored on a computer-readable recording medium combined with hardware to execute the market analysis method according to any one of claims 6, 9, and 10.

Images