KR102309148B1 - System for point of sale based store management analyzing service for enhancing competitiveness in small business - Google Patents

Abstract

Provided is a system for providing a point-of-sale (POS)-based store operation analysis service to enhance competitiveness of a small business owner, including: at least one affiliated store terminal for sharing product data including inventory data and price data of at least one product in real time, uploading financial data including an income statement, which is a financial statement including information including a net profit, sales, and a sales cost, and receiving market data analyzed based on the product data and the financial data; and an analysis service provision server including a collection unit for collecting analysis data including the product data and the financial data from the at least one affiliated store terminal, an extraction unit for extracting a business category that is identical to a business category registered by the at least one affiliated store terminal, an index calculation unit for calculating, when a comparison target radius is set, an achievement level based on a preset index by using the analysis data of the at least one affiliated store terminal within the set radius, and an evaluation unit for sorting in a descending order of the achievement level, giving a ranking in a relative evaluation scheme, and transmitting the ranking to the at least one affiliated store terminal.

Description

SYSTEM FOR POINT OF SALE BASED STORE MANAGEMENT ANALYZING SERVICE FOR ENHNCING COMPETITIVENESS IN SMALL BUSINESS}

The present invention relates to a POS-based store operation analysis service providing system for enhancing the competitiveness of small business owners, and provides a platform that informs the operating status of franchisees in the same industry as relative evaluation using product data and financial data.

Consulting activities to solve the business difficulties of founders can be an important foundation for accumulating practical knowledge and achieving theoretical development. In contrast to active research on various aspects of entrepreneurship and entrepreneurship, academic interest in entrepreneurship and management of small businesses is lacking. The problem lies in the reality that it is difficult for small business owners to enjoy the benefits of management consulting in reality. Above all, consulting costs are burdensome, and the consultants often do not have expertise in consulting for small businesses. The reality that support and consulting activities for small businesses is mainly carried out by government agencies, government-funded organizations, or affiliated organizations reflects these difficulties. Successful small business owners have sufficient business management skills, but the results of the study that superficial management consulting is not helpful to small business owners are giving rise to reflections that a sincere understanding is needed for small business management consulting activities.

At this time, a method of providing consulting to small business owners and the self-employed has been researched and developed. Released on October 31, 2012), the configuration that extracts monitoring terminals based on store information and analyzes the results and provides them to customers, and analyzes customer needs and customer gaps based on SaaS (Software as a Service) ) through analysis, it provides reliable management analysis to the company, and external professional consultants provide the company with quantified data that can establish corporate branding directions and marketing plans. Each configuration is disclosed to enable the establishment of management goals and specific operational directions using quantitative data by analyzing the customer needs and enabling analysis of customer needs with minimum time and cost.

However, in the former case of the above configuration, only the transmission and reception of data uses the online platform, and the intervention of a consultant is required to perform the process, so there is no effect beyond the conversion of offline consulting to online consulting. Also, in the latter case, it is said that customer needs analysis is performed, but customer needs are being analyzed recently through big data or artificial intelligence algorithms. Even if it is analyzed, it is questionable whether quantitative data in the true sense is produced due to the abstractness and ambiguity of the term itself of consumer needs. Accordingly, research and development of a practical consulting platform that can receive relative evaluation report cards with competitors using product data collected by POS (Point of Sale) and financial data based on profit and loss statements at each store is required.

An embodiment of the present invention provides a ranking between the same industry or competitors based on real-time product data and profit and loss statements collected from the POS affiliated store terminal, and provides analysis data such as current market data and relative evaluation report card together, By providing analysis data, KPI (Key Performance Indicator) for each industry and customer relationship management (CRM) for each store, additional infrastructure is built by using POS data in the store without paying consulting costs that cost tens of thousands of won. Alternatively, it is possible to provide a method of providing a POS-based store operation analysis service for enhancing the competitiveness of small business owners, which can provide indicators so that store owners in the competitive industry can check their own location without installing a program. However, the technical task to be achieved by the present embodiment is not limited to the technical task as described above, and other technical tasks may exist.

As a technical means for achieving the above-described technical problem, an embodiment of the present invention shares product data including inventory data and price data of products collected through POS of a store in real time, and provides net profit, sales and cost of sales an affiliated store terminal for uploading financial data including a profit and loss statement, which is a financial statement containing information, and receiving market data analyzed based on the product data and financial data; a user terminal that searches for a product by selecting a search mode to search for a product by entering a search term, and performs payment based on an O2O (Online to Offline) service; and a collection unit for collecting analysis data including product data and financial data from the affiliated store terminal, an extraction unit for extracting the same business type as the business type registered in the affiliated store terminal, analysis of the affiliated store terminal within the radius set when the comparison target radius is set An index calculation unit that calculates an achievement level based on a preset index using data, an evaluation unit that transmits a relative evaluation index ranked in a relative evaluation method by sorting in the order of highest achievement level to the affiliated store terminal , collect customer data including search data and payment data from the user terminal, classify the customer data for each affiliate store to generate CRM (Customer Relationship Management) analysis data, and provide the generated CRM analysis data for each affiliate store and an analysis service providing server comprising a cloud unit for using an AWS (Amazon Web Services)-based cloud platform when collecting product data and financial data from the affiliated store terminal; including, but the analysis service providing server, When searching for a specific item in the user terminal, extract the list of affiliated stores of the affiliated store terminal that has the retrieved specific article in stock, and check whether the power of the affiliated store terminal holding the searched specific article in stock is turned on or off, or of the affiliated store owner terminal or affiliated store employee terminal POS-based store operation analysis service for enhancing the competitiveness of small business owners, characterized in that the location is tracked to check whether it is a currently operating affiliated store, and when it is confirmed as a currently operating affiliated store, the extracted affiliated store list is transmitted to the user terminal A provision system may be provided.

According to any one of the above-described problem solving means of the present invention, based on real-time product data and profit and loss statements collected from POS affiliated stores, rankings are given between the same industry or competitors, and analysis such as current market data and relative evaluation report card Data of in-store POS data is provided without paying consulting fees that cost tens of thousands of won by providing data together, analysis data KPI (Key Performance Indicator) for each industry, and CRM (Customer Relationship Management) for each store individually can provide an indicator so that store owners in the competitive industry can figure out their location on their own without the need to build additional infrastructure or install programs.

1 is a view for explaining a POS-based store operation analysis service providing system for enhancing the competitiveness of small business owners according to an embodiment of the present invention.
FIG. 2 is a block diagram illustrating an analysis service providing server included in the system of FIG. 1 .
3 and 4 are diagrams for explaining an embodiment in which a POS-based store operation analysis service for enhancing the competitiveness of small business owners according to an embodiment of the present invention is implemented.
5 is an operation flowchart illustrating a method of providing a POS-based store operation analysis service for enhancing the competitiveness of small business owners according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art can easily implement them. However, the present invention may be embodied in many different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part is "connected" with another part, this includes not only the case of being "directly connected" but also the case of being "electrically connected" with another element interposed therebetween. . Also, when a part "includes" a component, it means that other components may be further included, rather than excluding other components, unless otherwise stated, and one or more other features However, it is to be understood that the existence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded in advance.

The terms "about", "substantially", etc. to the extent used throughout the specification are used in a sense at or close to the numerical value when the manufacturing and material tolerances inherent in the stated meaning are presented, and serve to enhance the understanding of the present invention. To help, precise or absolute figures are used to prevent unfair use by unscrupulous infringers of the stated disclosure. As used throughout the specification of the present invention, the term “step for (to)” or “step for” does not mean “step for”.

In this specification, a "part" includes a unit realized by hardware, a unit realized by software, and a unit realized using both. In addition, one unit may be implemented using two or more hardware, and two or more units may be implemented by one hardware. Meanwhile, '~ unit' is not limited to software or hardware, and '~ unit' may be configured to be in an addressable storage medium or may be configured to reproduce one or more processors. Thus, as an example, '~' refers to components such as software components, object-oriented software components, class components, and task components, and processes, functions, properties, and procedures. , subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays and variables. The functions provided in the components and '~ units' may be combined into a smaller number of components and '~ units' or further separated into additional components and '~ units'. In addition, components and '~ units' may be implemented to play one or more CPUs in a device or secure multimedia card.

In this specification, some of the operations or functions described as being performed by the terminal, apparatus, or device may be performed instead of in a server connected to the terminal, apparatus, or device. Similarly, some of the operations or functions described as being performed by the server may also be performed in a terminal, apparatus, or device connected to the server.

In this specification, some of the operations or functions described as mapping or matching with the terminal means mapping or matching the terminal's unique number or personal identification information, which is the identification data of the terminal. can be interpreted as

The information included in the financial statements in this specification is not limited to net profit, sales, and cost of sales, but it should be construed to include all information related to finance.

The analysis service providing system of the present specification is a B2B (Business to Business) platform and does not perform payment and finance-related functions using O2O. However, although the O2O platform including payment and financial functions has been described in a separate application, it is only described for clear and detailed description of the invention, so it is defined as not performed on the platform of the present invention.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

1 is a view for explaining a POS-based store operation analysis service providing system for enhancing the competitiveness of small business owners according to an embodiment of the present invention. Referring to FIG. 1 , the POS-based store operation analysis service providing system 1 for enhancing the competitiveness of small business owners includes at least one user terminal 100 , an analysis service providing server 300 and at least one affiliate store terminal 400 . may include. However, since the POS-based store operation analysis service providing system 1 for enhancing the competitiveness of small business owners of FIG. 1 is only one embodiment of the present invention, the present invention is not limitedly interpreted through FIG. 1 .

At this time, each component of FIG. 1 is generally connected through a network (Network, 200). For example, as shown in FIG. 1 , at least one user terminal 100 may be connected to the analysis service providing server 300 through the network 200 . In addition, the analysis service providing server 300 may be connected to at least one user terminal 100 and at least one affiliate store terminal 400 through the network 200 . Also, the at least one affiliated store terminal 400 may be connected to the analysis service providing server 300 through the network 200 .

Here, the network refers to a connection structure in which information exchange is possible between each node, such as a plurality of terminals and servers, and an example of such a network includes a local area network (LAN), a wide area network (WAN: Wide Area Network), the Internet (WWW: World Wide Web), wired and wireless data communication networks, telephone networks, wired and wireless television networks, and the like. Examples of wireless data communication networks include 3G, 4G, 5G, 3rd Generation Partnership Project (3GPP), 5th Generation Partnership Project (5GPP), Long Term Evolution (LTE), World Interoperability for Microwave Access (WIMAX), Wi-Fi (Wi-Fi) , Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), RF (Radio Frequency), Bluetooth (Bluetooth) network, NFC ( Near-Field Communication) networks, satellite broadcast networks, analog broadcast networks, Digital Multimedia Broadcasting (DMB) networks, and the like are included, but are not limited thereto.

In the following, the term at least one is defined as a term including the singular and the plural, and even if at least one term does not exist, each element may exist in the singular or plural, and may mean the singular or plural. it will be self-evident In addition, that each component is provided in singular or plural may be changed according to embodiments.

The at least one user terminal 100 may be a terminal of a user who searches for a product to purchase in an offline store using a POS-based store operation analysis service related web page, app page, program or application for enhancing the competitiveness of small business owners. In this case, the user terminal 100 may be a terminal that searches for a specific object desired by the user using the search mode and receives the result from the analysis service providing server 300 . Here, the user terminal 100 and the analysis service providing server 300 may be connected to a cloud platform (AWS), and all information input by the user terminal 100 may be transmitted to the cloud platform. In addition, the user terminal 100 may be a terminal that selects a category using a discover mode and receives a search result from the analysis service providing server 300 when searching for an alternative or searching for a category. In addition, the user terminal 100 is a user's terminal that can receive a product recommendation from the analysis service providing server 300 using the curation mode when the user wants to receive a recommendation based on the search history and purchase pattern searched by the user. can be

Here, the at least one user terminal 100 may be implemented as a computer that can access a remote server or terminal through a network. Here, the computer may include, for example, navigation, a laptop equipped with a web browser, a desktop, and a laptop. In this case, the at least one user terminal 100 may be implemented as a terminal capable of accessing a remote server or terminal through a network. At least one user terminal 100, for example, as a wireless communication device that guarantees portability and mobility, navigation, PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS(Personal Handyphone System), PDA(Personal Digital Assistant), IMT(International Mobile Telecommunication)-2000, CDMA(Code Division Multiple Access)-2000, W-CDMA(W-Code Division Multiple Access), Wibro(Wireless Broadband Internet) ) terminal, a smart phone, a smart pad, a tablet PC, etc. may include all kinds of handheld-based wireless communication devices.

The analysis service providing server 300 provides product data and financial data from at least one merchant terminal 400 that provides a POS-based store operation analysis service web page, app page, program or application for enhancing the competitiveness of small business owners, merchant terminal (400) It may be a server that collects and updates in conjunction with the POS. And, when the analysis service providing server 300 searches for a specific item in the user terminal 100, after extracting at least one affiliated store terminal 400 holding the searched specific item in stock, the affiliated store terminal 400 determines whether it is currently operating. ) may be a server that transmits the extracted affiliate store list to the user terminal 100 after reconfirming the power on/off or by tracking the location of the affiliated store owner terminal (not shown) or the affiliated store employee terminal (not shown). The analysis service providing server 300 analyzes the product data and financial data collected from the affiliated store terminal 400 and user data such as search, purchase, and payment collected from the user terminal 100 to obtain a Key Performance Indicator (KPI). For each same industry (competitor), CRM (Customer Relationship Management) may be a server provided for each store. In addition, the analysis service providing server 300 may be a server capable of using a cloud platform, Amazon Web Services (AWS), and using a blockchain-based cloud.

Here, the analysis service providing server 300 may be implemented as a computer capable of accessing a remote server or terminal through a network. Here, the computer may include, for example, navigation, a laptop equipped with a web browser, a desktop, and a laptop.

At least one merchant terminal 400 is an offline store using a POS-based store operation analysis service related web page, app page, program or application for enhancing the competitiveness of small business owners, that is, the POS terminal of the merchant or the merchant's PC, tablet, smart It may be a terminal such as a phone. In addition, the affiliated store terminal 400 provides product data such as real-time inventory data and price data and financial data such as a profit and loss statement to the analysis service providing server 300 , but may be a terminal using a cloud platform. Also, the affiliated store terminal 400 may be a terminal that outputs a payment event when a payment of the user terminal 100 occurs through an online to offline (O2O) service. Also, the affiliated store terminal 400 may be a terminal that receives KPI and CRM data from the analysis service providing server 300 . In addition, the affiliated store terminal 400 may provide a function of directly connecting from the mobile application to the POS or the cloud when the expenditure details are inputted to the mobile application. In this case, the expenditure may refer to line items that are all expenditures constituting the financial statements. It is a B2B (Business to Business) application that can synchronize sales and additional information to the POS or the cloud. At this time, it will be obvious that CRM is not limited to small business owners and that CRM in the industry can also be provided, for example, it can provide consumption patterns and interests of consumers by industry. Accordingly, the CRM information may include industry information and information for each affiliate store.

Here, the at least one affiliated store terminal 400 may be implemented as a computer capable of accessing a remote server or terminal through a network. Here, the computer may include, for example, a POS (Point of Sale), navigation, a laptop equipped with a web browser, a desktop, and a laptop. In this case, the at least one affiliated store terminal 400 may be implemented as a terminal capable of accessing a remote server or terminal through a network. The at least one affiliated store terminal 400 is, for example, a wireless communication device that guarantees portability and mobility, including navigation, Personal Communication System (PCS), Global System for Mobile communications (GSM), Personal Digital Cellular (PDC), PHS(Personal Handyphone System), PDA(Personal Digital Assistant), IMT(International Mobile Telecommunication)-2000, CDMA(Code Division Multiple Access)-2000, W-CDMA(W-Code Division Multiple Access), Wibro(Wireless Broadband Internet) ) terminal, a smart phone, a smart pad, a tablet PC, etc. may include all kinds of handheld-based wireless communication devices.

Figure 2 is a block diagram for explaining the analysis service providing server included in the system of Figure 1, Figures 3 and 4 are POS-based store operation analysis service for enhancing the competitiveness of small business owners according to an embodiment of the present invention It is a diagram for explaining an implemented embodiment.

Referring to FIG. 2 , the analysis service providing server 300 includes a collection unit 310 , an extraction unit 320 , an index calculation unit 330 , an evaluation unit 340 , an analysis unit 350 , and a cloud unit 360 . may include.

The analysis service providing server 300 according to an embodiment of the present invention or another server (not shown) operating in conjunction with at least one user terminal 100 and at least one affiliated store terminal 400 enhances the competitiveness of small business owners. When transmitting a POS-based store operation analysis service application, program, app page, web page, etc., at least one user terminal 100 and at least one merchant terminal 400 for You can install or open operational analytics service applications, programs, app pages, web pages, etc. In addition, a service program may be driven in at least one user terminal 100 and at least one affiliate store terminal 400 by using a script executed in a web browser. Here, the web browser is a program that enables the use of a web (WWW: World Wide Web) service, and refers to a program that receives and displays hypertext written in HTML (Hyper Text Mark-up Language), for example, Netscape. , Explorer, Chrome, and the like. In addition, the application means an application on the terminal, for example, includes an app (App) executed in a mobile terminal (smartphone).

Referring to FIG. 2 , the collection unit 310 may collect analysis data including product data and financial data from at least one affiliated store terminal 400 . The at least one affiliated store terminal 400 shares product data including inventory data and price data of at least one product in real time, and includes a profit and loss statement, which is a financial statement containing information including net profit, sales and cost of sales. to upload financial data, and can receive product data and market data analyzed based on financial data.

The extraction unit 320 may extract the same industry type as that registered in the at least one affiliated store terminal 400 . At this time, this is to provide KPIs based on the same industry (competitor). Due to this, the extraction unit 320 is a concept of adding an AND condition to be subdivided, so that each affiliated store terminal 400 can be compared with a competitor included in the business district to which the affiliated store belongs, such as [same industry + region / commercial district]. You can also configure the interface to add filters in .

When the comparison target radius is set, the index calculation unit 330 may calculate an achievement level based on a preset index by using analysis data of at least one affiliated store terminal 400 within the set radius. In this case, the preset indicators are Key Performance Indicators (KPIs), and at least one indicator included in the KPI may be set differently for each industry, for example, as shown in Table 1 below. Of course, it is not limited to Table 1 below, and it will be obvious that it is not excluded from extracting and setting KPIs necessary for the characteristics and work areas of each industry.

work area key performance indicators Development 1. Proportion of new product sales
2. Development deadline compliance rate
3. New product development lead time
4. Development success rate
5. Prototype production cost
6. Mass production test cost
7. Number of patents
8. Average design lead time
9. Number of design changes
10. Quotation per person sales 1. Order processing lead time
2. Return processing lead time
3. Finished product return rate
4. Finished product shortage rate
5. Order Cancellation Rate
6. Sales Plan Accuracy
7. Sales and administrative expenses as a percentage of sales
8. Demand forecasting accuracy
9. Order management cost
10. Order reception lead time
11. Order delivery lead time
12. Rate of compliance with customer delivery date requirements
13. Customer delivery compliance rate
14. Order Fulfillment Rate
15. Customer Order Fee
16. Order cycle time
17. Order entry lead time
18. Customer Claim Rate
19. Trade receivable turnover date purchase 1. Material delivery time compliance rate
2. Material defect rate
3. Material shortage rate
4. Urgent material order rate
5. Material inventory turnover
6. Raw material long-term contract purchase ratio
7. Material supply contract fulfillment rate
8. Material procurement lead time
9. Non-compliance rate
10. Material procurement cycle time
11. Number of days of holding material stock
12. Single Supplier Ratio
13. E-procurement purchase ratio
14. Material quality pass rate
15. Receivable Turnover Date production logistics 1. Production planning lead time
2. Production plan establishment cycle
3. Production plan compliance rate
4. Productivity (yield)
5. Facility utilization rate
6. Total facility efficiency
7. COGS-to-sales ratio
8. Product delivery compliance rate
9. Product inventory turnover
10. Ratio of Logistics Cost to Sales
11. Inventory error rate
12. Production lead time
13. Rate of compliance with the revised delivery date
14. Production Cycle Time
15. Inventory maintenance cost
16. Production cost per unit
17. Production plan agreement rate
18. Supply Chain IT Costs
19. Delivery quality pass rate
20. BOM Error Rate
21. Bad Cost
22. Number of days in stock for work-in-process
23. Number of days in stock for finished products
24. Production lead time
25. Out of stock
26. Obsolescence Inventory Ratio
27. Asset Turnover

In the case of concentrating on sales among the business areas of Table 1, KPIs shown in Table 2 below may be selected, and variables shown in Table 3 may be used for Table 2.

Performance Type Performance Area KPIs Management Profitability -Ordinary income against sales
-Ratio of Cost of Sales Stability -Turnover ratio of construction receivable
-Rate of cash reception against sales Quality -Defect curing cost against sales Efficiency Productivity -Sales per person
-Selling & Admin Cost against sales R&D and Technology R&D cost against sales Preparation
for future Learning & Growth Education and training cost per employee Customer Satisfaction -Return on total equity
-Advertising cost against sales

variable Definitions OI_Sales Ordinary income against sales GP_Sales Ratio of gross profit (revenue-cost of sales) AR_TO Turnover ratio of construction receivable CR_Sales Rate of cash reception against sales DC_Sales Defect curing cost against sales Sales_Per Sales per person S&A_Sales Selling & Admin Cost against sales R&D_Sales R&D cost against sales E&T_Per Education and training cost per employee ROE Return on total equity AD_Sales Advertising cost against sales

At this time, in the performance type, which is the primary classification criterion, the KPI can be divided into four areas: finance, customer, internal process, and learning and growth. can In addition, it can be divided into three areas: Management, Efficiency, and Preparation for the Future. There are 7 performance areas as the secondary classification criteria, Performance Area, namely, Profitability, Stability, and Quality in Management Type, and Productivity in Efficiency Type. (Productivity) and R&D and Technology (R&D and Technology), and finally, in the type of Preparation for Future, Learning & Growth and Customer Satisfaction can be selected respectively. In addition, for each performance area, from among the detailed KPIs for each area, a KPI suitable for each industry or scale and suitable for empirical analysis may be separately selected according to an embodiment.

If, among performance types, store A shows strength in terms of management and efficiency, and store B shows strength in terms of preparation for the future, store A is at the present time. In terms of profitability, efficient business management, and productivity in store B, it can be judged that it has a relative strength compared to store B. However, it can be seen that there are insufficient points in preparing for future growth. On the other hand, if store B shows problems in terms of profitability or management efficiency, but is making relatively active investments for future growth, as a result of analyzing the KPI, store A has strengths in profitability and management efficiency. On the other hand, the most important part that needs to be supplemented to increase competitiveness can give a relative evaluation result that active investment is necessary for future growth.

Since the financial data is collected and averaged to provide market evaluation data, each store owner receives a relative evaluation indicator such as a report card about his position. Since this can be provided separately for each region or commercial district, each store owner can obtain information about where their location is in their commercial district and what strengths other stores have, and what parts to grow and what It is possible to determine whether an investment can be made to increase management stability while also increasing the rate of return.

The evaluator 340 may transmit the relative evaluation index in which the ranking is given by the relative evaluation method to the at least one affiliated store terminal 400 by sorting them in the order of highest achievement level. Since various programs for measuring KPIs are already known, it is not difficult to calculate quantitative data, that is, numerical percentage points, just by setting KPIs for each industry or region. At this time, if the achievement level (%) is sorted in the order of highest, the franchisee can figure out which points are strengths and which points are weaknesses in each region, region, or nationwide. High school 3rd graders will be able to get the same evaluation index as receiving the relative evaluation score report of the top percentage after taking the CSAT mock test.

The analysis unit 350 collects customer data including search data and payment data from at least one user terminal 100, classifies customer data for each affiliate store to generate CRM (Customer Relationship Management) analysis data, The generated CRM analysis data can be provided for each affiliate store. In this case, the user terminal 100 may input a search word to select a search mode to search for a product, search for a product, and perform payment based on an online to offline (O2O) service. In this case, the CRM analysis data may be customer relationship information analyzed by collecting a purchase pattern or search history of each customer (user). For example, it may be as follows.

Customer relationship management (CRM) should reflect the dynamic characteristics of customers. By observing the buying behavior of past customers, you can segment customers in current or future markets and use different marketing strategies for distinct customer clusters. Customer relationship management based on customer purchasing behavior has been studied for decades, but research on dynamic customer relationship management has only recently been actively conducted. Therefore, the data mining and monitoring agent system (MAS) is used to analyze the knowledge extracted from the user (customer) data collected through the platform that searches the inventory data of the offline store and the customer behavior pattern over time, A dynamic customer relationship management model can be used through This model can include prediction of customer history path, analysis of group history path that appears to customers, and analysis of changes in customer group over time and deriving marketing strategies accordingly. This model could be useful in solving the business problems facing online retailers.

As knowledge information becomes easier to acquire, it is possible to use a platform that can more quickly reflect customer needs through immediate analysis and response based on events that occur in real time, unlike a system that analyzes past usage data and manages relationships with customers. can When an event occurs, the company detects the event in real time using the relevant information collector (web and mobile), and through data analysis, immediately classifies the needs through the rules created in the existing database, and measures the needs It refers to a system that can solve needs in real time by executing CRM has grown along with information knowledge systems to have a detailed process up to real-time measurement. On the business side, it contributes to improving the company's loyalty to customers by approaching customers closer and promptly solving what customers really want. By doing so, it is possible to strategically balance supply and demand.

The cloud unit 360 uses an AWS (Amazon Web Services) based cloud platform when collecting product data and financial data from at least one affiliated store terminal 400 . AWS provides storage, broadband network access, security services, development tools, management tools, and development platforms ( Development Platform) and other various services are provided. AWS provides an overall solution, especially for Big Data.

AWS provides services for big data analysis of various elements, providing businesses with an easy and inexpensive big data analysis platform. Regarding the platform for big data collection and analysis, AWS provides five major solutions. Amazon S3 is a Simple Storage Service, a storage service for the Internet. S3 makes it easy for developers to perform high-volume, web-scale computing tasks. Amazon Kinesis is used for real-time data analysis. You can use Amazon Kinesis Data Streams to ingest and process large streams of data records in real time. Kinesis enables accelerated log and data feed intake and processing, real-time metrics and reporting, real-time data analytics, and complex stream processing. Amazon DynamoDB is a fully managed NoSQL database service that provides fast, predictable performance with seamless scalability. DynamoDB reduces the administrative burden of operating and tuning a distributed database, making it easy to troubleshoot hardware provisioning, setup and configuration, replication, software patching, or cluster scaling. You can use the AWS Management Console to monitor resource utilization and performance metrics. It also provides an on-demand backup feature to enable point-in-time recovery for Amazon DynamoDB tables.

Amazon Redshift is a petabyte-scale data warehouse service managed in the cloud. Data can scale from hundreds of gigabytes to more than petabytes, which helps you use your data to unlock new insights for your business and customers. Because it is based on PostgreSQL, query performance is accelerated using the same SQL-based tools and business intelligence applications used today. Amazon Elastic MapReduce (EMR) is a managed cluster platform that simplifies running big data frameworks such as Apache Hadoop and Apache Spark on AWS. Together with these frameworks, you can use related open source projects such as Apache Hive and Apache Pig to process data for analytics and business intelligence workloads. You can also use Amazon EMR to bi-directionally transform and move large amounts of data from other AWS data stores and databases such as Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB.

By combining the major services provided by AWS, it is possible to build various big data applications. For example, it is possible to secure value from big data using AWS in the following embodiments. The first is on-demand big data analytics, where AWS builds full analytics applications to support your business. With AWS applications, you can scale your Hadoop cluster from zero to thousands of servers in minutes and shut it down when you're done. This allows you to process big data workloads in a shorter time and at a lower cost. The second is clickstream analytics, which enables you to collect, process, and analyze clickstreams in real time and visualize insights through AWS, improving your customers' digital experience and increasing their understanding of your website. Event-driven Extract, Transform, Load (ETL) AWS Lambda allows you to perform data transformation operations (filtering, sorting, joining, aggregating, etc.) on new data, and exporting transformed datasets to Amazon Redshift for interactive querying and analysis. can be loaded

The third is a smart application, and Amazon Machine Learning makes it easy to add predictive capabilities to your application. By combining the power of Amazon Kinesis, you can collect data in real time from social media or other sources, and use machine learning to generate predictions on that data. Fourth, data warehousing, which allows you to optimize query performance and reduce costs by deploying a data warehousing architecture on the AWS Cloud. With Amazon EMR, you can leverage the power of the Apache Hadoop framework to perform data transformation operations (ETL) and load processed data into Amazon Redshift for analytics and business intelligence applications.

In this case, the cloud platform may be a blockchain cloud service or a blockchain as a service (BaaS). Product data and financial data may be shared with at least one node of a block chain linked with a cloud platform including AWS-S3, GCP-Cloud Storage, and Azure-Blob Storage. At this time, since all of the listed technologies are known as programs of each brand company, a detailed description thereof will be omitted. In addition, it will be said that any blockchain-based cloud platform or cloud platform connected to the blockchain can be used and is not limited to the ones listed.

On the other hand, the blockchain may be a consortium blockchain or a private blockchain. The basic premise of the consortium blockchain is a trusted environment among network members. In a consortium blockchain, members who trust each other make decisions through consensus and cooperate to operate the network in a decentralized way. In addition, the consortium consists only of organizations that can be trusted and can be held accountable while meeting the goals of the network. Because it is a trusted environment made up of approved and well-subjected members, the consortium blockchain allows businesses to run effectively and efficiently without being bound by the fundamental limitations inherent in public blockchains. Consortium blockchain can comply with the reliability, efficiency, availability, integrity and confidentiality of business requirements due to its trusted environment. Organizations can use an efficient consensus algorithm to maximize transaction processing speed and perform business that requires immediate approval. In addition, since it is not necessary to use a consensus algorithm that requires excessive energy consumption, blocks can be efficiently verified while maintaining integrity. Because transaction details are disclosed only to authorized stakeholders, the problem of privacy or confidentiality is compromised.

In addition to the five business requirements outlined above, the consortium blockchain can achieve organizational goals with effectiveness and compliance. In the consortium blockchain, members can perform governance by decentralizing and cooperating so that the organization’s blockchain utilization strategy and policies are aligned with the organizational goals and values are delivered to stakeholders. Governance that complies with external requirements, evaluates strategies and policies, and directs and oversees the effective operation of the network may be most appropriate in a consortium blockchain operated through consensus and voting among members in a trusted environment.

IT governance refers to the leadership, organizational structure, and processes that enable IT to maintain and expand the organization's strategy and objectives as part of corporate governance conducted under the responsibilities of the board and management. The international standard ISO/IEC 38500:2015 defines IT governance as activities in which the present and future use of IT is directed and controlled by top management. Top management can evaluate current and future use of IT, direct IT use through strategies and policies to achieve business objectives, and monitor performance against policy and strategy.

The analysis result according to an embodiment of the present invention is organized in a document format such as MS Office and can be received by e-mail, text or registered mail, and the type of delivery medium is not limited and is not excluded for reasons not listed. The information may be provided monthly, weekly, daily or in real time, for example, the merchant may receive the analysis result in an Excel file format via e-mail, and conveniently use the application according to an embodiment of the present invention with a smartphone. You can also receive real-time reports through

Hereinafter, an operation process according to the configuration of the above-described analysis service providing server of FIG. 2 will be described in detail with reference to FIGS. 3 and 4 as an example. However, it will be apparent that the embodiment is only one of various embodiments of the present invention and is not limited thereto.

Referring to FIG. 3 , (a) the analysis service providing server 300 collects product data and financial data from at least one affiliated store terminal 400, and provides KPI for each business type and CRM analysis data for each affiliated store to at least one affiliated store terminal. (400). At this time, (c) a pattern or purchase history searched in at least one user terminal 100 may be used for CRM analysis, and (c) the analysis service providing server 300 filters KPIs by industry and region. By setting and providing analysis data, each franchisee can obtain objective information about the status of their store operation or their level in the industry. And, (d) with the KPI and CRM information collected in this way, the analysis service providing server 300 may collect investors or attract investment.

At this time, the analysis service providing server 300 may serve as an intermediary in real estate transactions. Considering that essential information during real estate transactions is financial information of commercial districts and stores, each affiliated store, that is, sales of affiliated stores in the corresponding commercial district, etc. In the case of analyzing .

Referring to (a) of FIG. 4 , the current operating situation may be analyzed using KPI and CRM analysis data, but future situation may be predicted or consulting may be performed using this. To this end, (b) a cloud platform may be used for data collection or a blockchain may be used.

In the service according to an embodiment of the present invention, each individual and group always compete in modern society, and the competition starts from the point that errors in guesses and judgments occur due to opaque information. Each store evaluates each other relative to each other, and in times of prosperity, attention is focused on how well their stores outperformed their counterparts, or how much less they were hit during recessions, but social competition prevents them from sharing information with each other. Countless times, they can only guess the relative performance of the stores they own. An embodiment of the present invention may provide a database analysis service that solves such social problems, and through this, seeks to gain trust as an objective third party (Trusted 3rd Party). The main idea is data analysis, and data acquisition can be implemented in a variety of ways.

In modern times, development is too fast, so there is insufficient information to develop the competitive spirit at the same speed, and it is economically burdensome. However, since most stores have a very high probability of success assuming they receive necessary information, the service according to an embodiment of the present invention provides the information and intends to serve as a long-term partner in order to gain trust from all stores. The store owner's ultimate goal is to generate profits, but it is very difficult to achieve that goal due to social competition. Market information is needed to strengthen a store's competitive spirit, just as it is a concept made up of a relative evaluation of whether a student does well or not, just as the store's performance is the same. It is intended to provide a reference evaluation table as information according to an embodiment of the present invention.

<Database & Cloud>

An embodiment of the present invention can operate a cloud server and database based on AWS, and the information provided by the member (the franchisee of the merchant terminal 400) must be unconditionally true and use POS or a preset authentication platform. You can receive information from the cloud server. Required information is i) financial information, for example information entered in the income statement. This financial information is authenticated by a preset authentication platform, and is input to the server end according to an embodiment of the present invention. Another necessary information is ii) product information, which may be inventory quantity, detailed information, or store information. In principle, inventory quantity is provided in real time, and detailed information must be strictly real-time as well. The store information may include a name, business hours, business days, and schedules.

<Provided service>

Each piece of information may be used for statisticalization after de-identification processing. The received information can be designed so that it cannot be traced back, and the services to be provided to each affiliated store terminal are i) data provided by each affiliated store terminal 400 (basic market information), ii) the industry average as basic market information. After payment, it may be a service that provides analysis data (analyzed market information) analyzed as average information, iii) future data predicted using the analysis data, and consulting data (market information including consulting), respectively. Analyzed Market Information and Consulting Market information included may vary from industry to industry.

Statistical indicators, information, or reports may be de-identified so that they are not linked to each store, that is, not tracked. In this case, the trade name of each affiliate is not used, and an index for analyzing all affiliated stores within a 2 km radius of each affiliate can be provided. The core shares information with each other, but does not provide information that can be specific to each merchant, so only the industry and regional averages are known.

For example, a catering business may provide an inventory turnover rate and a lodging establishment may provide an occupancy rate. The basic market information may be basic information, for example, average sales, expenditure, and operating profit in the catering industry in the past month, and the analyzed market information may be more detailed information, for example, average occupancy rate and inventory turnover in the past month, etc. The market information included in the consulting may be, for example, analysis of age and time zone of average occupancy rate information for the past month.

<Classification of membership>

The range, type, and amount of the provided services may be different depending on the membership level (level). In this case, the member may be a franchise owner of each affiliate store. In addition, each member tier can be classified as a monthly membership fee. Its main business is to provide information to each member periodically and receive a monthly membership fee, and when detailed analysis services are needed, discounted consulting services can be provided. This can be collected. As a side business, it is possible to provide this information to a desired individual, company, or group by analyzing a history searched in the search mode in the user terminal 100 , a log of payment by O2O, and the like. In this case, the consulting service refers to a business such as McKinsey, BCG, Bain & Company, etc., rather than a consulting service conducted only to members. In addition, by using the collected information, you can attract investors or collect investment funds, and you can also make direct investments.

As for the matters not described with respect to the POS-based store operation analysis service providing method for enhancing the competitiveness of small business owners in FIGS. 2 to 4, the POS-based store operation analysis service providing method for enhancing the competitiveness of small business owners through FIG. 1 Since it is the same as the described content or can be easily inferred from the described content, the following description will be omitted.

5 is a diagram illustrating a process in which data is transmitted/received between components included in the POS-based store operation analysis service providing system for enhancing the competitiveness of small business owners of FIG. 1 according to an embodiment of the present invention. Hereinafter, an example of a process in which data is transmitted and received between each component will be described with reference to FIG. 5, but the present application is not limited to such an embodiment, and the example shown in FIG. 5 according to the various embodiments described above will be described. It is apparent to those skilled in the art that the data transmission/reception process may be changed.

Referring to FIG. 5 , the analysis service providing server collects analysis data including product data and financial data from at least one affiliated store terminal ( S5100 ).

And, the analysis service providing server extracts the same industry type as the industry registered in at least one affiliated store terminal (S5200), and when the comparison target radius is set, a preset index using the analysis data of at least one affiliated store terminal within the set radius ( The achievement level is calculated based on the Index) (S5300).

Finally, the analysis service providing server transmits the relative evaluation index, which is ranked in the relative evaluation method by sorting in the order of highest achievement level, to at least one affiliated store terminal (S5400).

The order between the above-described steps (S5100 to S5400) is only an example and is not limited thereto. That is, the order between the above-described steps S5100 to S5400 may be mutually changed, and some of these steps may be simultaneously executed or deleted.

As described above, the method of providing a POS-based store operation analysis service for enhancing the competitiveness of small business owners of FIG. 5 is described above with respect to the method of providing a POS-based store operation analysis service for enhancing the competitiveness of small business owners through FIGS. 1 to 4 Since it is the same as the described content or can be easily inferred from the described content, the following description will be omitted.

The method of providing a POS-based store operation analysis service for enhancing the competitiveness of small business owners according to an embodiment described with reference to FIG. 5 is a recording medium including instructions executable by a computer, such as an application or program module executed by a computer. It can also be implemented in a form. Computer-readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. Also, computer-readable media may include all computer storage media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.

The POS-based store operation analysis service providing method for enhancing the competitiveness of small business owners according to an embodiment of the present invention described above includes an application basically installed in a terminal (which includes a program included in a platform or an operating system basically installed in the terminal) may be executed), and may be executed by an application (ie, a program) installed directly on the master terminal by a user through an application providing server such as an application store server, an application, or a web server related to the corresponding service. In this sense, the POS-based store operation analysis service providing method for enhancing the competitiveness of small business owners according to an embodiment of the present invention described above is implemented as an application (that is, a program) installed by default in a terminal or directly installed by a user, and a terminal It may be recorded on a computer-readable recording medium, such as in the

The above description of the present invention is for illustration, and those of ordinary skill in the art to which the present invention pertains can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a dispersed form, and likewise components described as distributed may be implemented in a combined form.

The scope of the present invention is indicated by the following claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention. do.

Claims (6)

It shares product data including inventory data and price data of products collected through the store's POS in real time, and uploads financial data including the income statement, which is a financial statement containing information including net profit, sales, and cost of sales. , an affiliated store terminal for receiving market data analyzed based on the product data and financial data;
a user terminal that searches for a product by selecting a search mode to search for a product by entering a search term, and performs payment based on an O2O (Online to Offline) service; and
A collection unit for collecting analysis data including product data and financial data from the affiliated store terminal, an extraction unit for extracting the same business type as the type of business registered in the affiliated store terminal, analysis data of the affiliated store terminal within the radius set when the comparison target radius is set An index calculation unit for calculating the achievement level based on a preset index (Index) using Collecting customer data including search data and payment data from the user terminal, classifying the customer data for each affiliate store to generate CRM (Customer Relationship Management) analysis data, and providing the generated CRM analysis data for each affiliate store An analysis service providing server including an analysis unit, a cloud unit for using an AWS (Amazon Web Services)-based cloud platform when collecting product data and financial data from the affiliated store terminal;
The analysis service providing server,
In the case of searching for a specific item in the user terminal, extract a list of affiliated stores of the affiliated store terminal having the searched specific article in stock, and check whether the power of the affiliated store terminal holding the searched specific article in stock is turned on or off, or of the affiliated store owner terminal or affiliated store employee terminal It is characterized in that the location is tracked to confirm whether the affiliated store is currently operating, and when it is confirmed as the currently operating affiliated store, the extracted affiliate store list is transmitted to the user terminal.
A POS-based store operation analysis service provision system to enhance the competitiveness of small business owners.
The method of claim 1,
The preset indicators are Key Performance Indicators (KPIs), and at least one indicator included in the KPI is set differently for each industry,
By analyzing product data and financial data collected from the affiliated store terminal, and user data related to search, purchase, and payment collected from the user terminal, the KPI is provided for each industry and the CRM analysis data is provided for each store to do
A POS-based store operation analysis service provision system to enhance the competitiveness of small business owners.
delete delete delete The method of claim 1,
The cloud platform is a Blockchain Cloud Service or BaaS (Blockchain as a Service),
The product data and financial data collected from the merchant terminal are shared with at least one node of the block chain linked with the cloud platform including AWS-S3, GCP-Cloud Storage and Azure-Blob Storage,
The block chain is a consortium block chain (Consortium Blockchain) or a private block chain, characterized in that
A POS-based store operation analysis service provision system to enhance the competitiveness of small business owners.

Images