KR102504185B1 - System and method that provide compensation for attracting O2O-based customers - Google Patents

Abstract

According to an embodiment of the present invention, provided is a system for providing compensation for attracting O2O-based customers, which includes: a user terminal which introduces or recommends an affiliated store using an open API and supports offline visit reservation to the affiliated store with recommended information recommended by other members; and a reward platform management server which recommends the affiliated stores to other members, makes visit reservation to the recommended affiliated stores, or provides rewards supported by the affiliated stores to the user's terminal.

Description

System and method that provide compensation for attracting O2O-based customers}

The present invention is an O2O system that provides reward points corresponding to a predetermined amount by a seller to an introducer and/or consumer based on consumption behavior by reserving a store through registered store information, reservation, payment, and compensation means. It relates to a system and method for providing compensation for attracting customers based on the present invention.

There are regular businesses that people often go to near their workplace or home. In the case of restaurants or good stores, people not only go frequently, but also accompany their acquaintances and recommend them. However, from the point of view of the owner, the way to express gratitude to the person who introduced it is limited to a simple service.

On the other hand, stores spend a lot of advertising money on delivery platforms, SNS, flyers, portal sites, etc. for publicity, but in reality, it is difficult to properly check the sales effect compared to advertising expenditures, and you need to invest a considerable amount of money to get a proper advertising effect. Therefore, it is gradually becoming an inefficient means of publicity for existing small stores or stores that do not have a large investment capacity.

In addition, from the consumer's point of view, even if they visit a store through existing advertisements, not only are they not given separate benefits or are insignificant, but also the cost of advertising for the advertisement is fully reflected in the price, increasing the burden on the price.

Therefore, there is a demand for a new type of advertising service that can satisfy the marketing demand of these small stores.

KR Registration Patent No. 2027911 (2019.11.4. notice)

An object of the embodiments of the present invention to improve the above problems is to provide a platform that allows sellers to directly benefit actual consumers instead of existing advertising expenses.

Another object of the embodiments of the present invention is to provide a more direct and efficient marketing means with less expenditure than the existing advertising expenses that sellers have been spending.

Another object of the embodiments of the present invention is to prevent consumers from leaning through a reservation function and to help the stable operation of the store.

In order to solve the above problems, the O2O-based customer attraction compensation providing system according to an embodiment of the present invention introduces or recommends an affiliated store to an acquaintance or member using an open API, and recommends the affiliated store with recommended information recommended by the acquaintance or member. a user terminal requesting an offline visit reservation; And a reward platform management server that recommends an affiliated store to a member or pays a reward supported by the affiliated store to a corresponding user terminal to a member who has made a visit reservation at the recommended affiliated store, and the reward platform management server provides an open API in the user terminal. If the location information that executes matches the above information of the affiliated store that has made a visit reservation, a predetermined reward point is paid to the member's point account to the user terminal, and the number of members who visited the reward points paid to the user terminal and set at the affiliated store It is characterized in that the daily reward is calculated by substituting it in a preset method.

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In one embodiment, the reward platform management server, when a member of the user terminal makes a reservation to visit an affiliated store introduced or recommended by another member, pays a predetermined reward point to the other member at the time the user terminal visits the corresponding affiliated store It is characterized by doing.

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In one embodiment, the reward platform management server is characterized in that to support visit reservation statistical information of affiliated merchants to the user terminal.

In one embodiment, the reward platform management server is characterized in that it supports affiliated store information for paying a reward to the user terminal.

O2O-based customer attraction compensation providing method according to an embodiment of the present invention for solving the above problems is to apply for an offline visit reservation including the visit time and number of visits to visit an affiliated store recommended by an acquaintance or member from a user terminal doing; Calculating a visit reward according to the offline visit reservation of the user terminal in a reward platform management server; And after confirming whether the location information where the user terminal executed the Open API in the reward platform management server matches the location of the affiliated store, if the user terminal leaves the affiliated store's location, according to the visit reservation to the user terminal Comprising the step of paying the calculated reward to a point account of the user terminal, wherein the step of calculating the visit reward is calculated by multiplying the number of visits entered in the user terminal by the daily reward set at the affiliated store. to be

The step of requesting an offline visit reservation includes providing information about the recommender who recommended the affiliated store, the number of people to visit, and the person's cell phone number or SNS account information.

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Using the O2O-based recommendation reward providing system and method according to an embodiment of the present invention, the seller can directly benefit the actual consumer instead of the existing advertising cost, and the seller can pay more with less than the existing advertising cost. It is to provide a direct and effective marketing tool.

Another object of the embodiments of the present invention is to prevent consumers from leaning through a reservation function and to help the stable operation of the store.

1 is a network configuration diagram of an O2O-based customer attraction reward providing system according to an embodiment of the present invention.
2 is a detailed configuration diagram of the reward platform management server shown in FIG.
3 to 5 are exemplary diagrams of execution screens of the open API shown in FIG. 1 .
6 is a flowchart illustrating a method of providing O2O-based customer attraction compensation according to an embodiment of the present invention.
7 illustrates an example computing environment in which one or more embodiments set forth herein may be implemented.

Hereinafter, embodiments of the present specification will be described with reference to the accompanying drawings. However, it should be understood that the technology described herein is not limited to specific embodiments, and includes various modifications, equivalents, and/or alternatives of the embodiments herein. . In connection with the description of the drawings, like reference numerals may be used for like elements. In this specification, expressions such as “has,” “can have,” “includes,” or “can include” indicate the existence of a corresponding feature (eg, numerical value, function, operation, or component such as a part). , which does not preclude the existence of additional features.

In this specification, expressions such as “A or B,” “at least one of A and/and B,” or “one or more of A or/and B” may include all possible combinations of the items listed together. . For example, “A or B,” “at least one of A and B,” or “at least one of A or B” (1) includes at least one A, (2) includes at least one B, Or (3) may refer to all cases including at least one A and at least one B.

Expressions such as "first," "second," "first," or "second," as used herein, may modify various elements regardless of order and/or importance, and may refer to one element as It is used only to distinguish it from other components and does not limit the corresponding components. For example, a first user device and a second user device may represent different user devices regardless of order or importance. For example, a first element may be termed a second element without departing from the scope of rights described herein, and similarly, the second element may also be renamed to the first element.

A component (e.g., a first component) is "(operatively or communicatively) coupled with/to" another component (e.g., a second component); When referred to as "connected to", it should be understood that the certain component may be directly connected to the other component or connected through another component (eg, a third component). On the other hand, when an element (eg, a first element) is referred to as being “directly connected” or “directly connected” to another element (eg, a second element), the element and the above It may be understood that other components (eg, a third component) do not exist between the other components.

As used herein, the expression “configured (or configured) to” means, depending on the circumstances, for example, “suitable for,” “having the capacity to” ," "designed to," "adapted to," "made to," or "capable of." The term "configured (or set) to" may not necessarily mean only "specifically designed to" hardware. Instead, in some contexts, the phrase "device configured to" may mean that the device is "capable of" in conjunction with other devices or components.

For example, the phrase "a processor configured (or configured) to perform A, B, and C" may include a dedicated processor (eg, embedded processor) to perform the operation, or by executing one or more software programs stored in a memory device. , may mean a general-purpose processor (eg, CPU or application processor) capable of performing corresponding operations.

Terms used in this specification are only used to describe a specific embodiment, and may not be intended to limit the scope of other embodiments. Singular expressions may include plural expressions unless the context clearly dictates otherwise. Terms used herein, including technical or scientific terms, may have the same meaning as commonly understood by one of ordinary skill in the art described herein. Among the terms used in this specification, terms defined in a general dictionary may be interpreted as having the same or similar meaning as the meaning in the context of the related art, and unless explicitly defined in the present specification, an ideal or excessively formal meaning. not be interpreted as In some cases, even terms defined in this specification cannot be interpreted to exclude embodiments in this specification.

Hereinafter, an O2O-based customer attraction compensation providing system and method according to an embodiment of the present invention will be described in more detail based on the accompanying drawings.

1 is a network configuration diagram of an O2O-based customer attraction reward providing system according to an embodiment of the present invention. 2 is a detailed configuration diagram of the reward platform management server shown in FIG. 3 to 5 are exemplary diagrams of execution screens of the open API shown in FIG. 1 .

First, as shown in FIG. 1, the O2O-based customer attraction reward providing system 100 according to an embodiment of the present invention gives a certain amount of information to an introducer who introduced or recommended a store and a booker who made a reservation to visit the corresponding store through the introducer. It is an invention to provide a reward (tentative name: Pochi).

More specifically, the O2O-based customer attraction compensation providing system 100 includes a user terminal 200, an affiliated store terminal 300 and a reward platform management server 400.

Each component (200, 300, 400) is generally connected by a network. Here, the network refers to a connection structure capable of exchanging information between each node such as a terminal and a server. One example of such a network is the Internet, a LAN (Local Area Network), and a Wireless LAN (Wireless Local Area Network). Network), WAN (Wide Area Network), PAN (Personal Area Network), 3G, 4G, 5G, LTE, Wi-Fi, etc. are included, but are not limited thereto.

The user terminal 200 introduces or introduces affiliated stores that sell products or provide services related to daily life, such as restaurants, bars, sports academies, hospitals, veterinary hospitals, beauty, retail, lodging, travel, and moving centers, to other users. It may be the terminal of the recommender.

In addition, the user terminal 200 may be a terminal of a person who makes an online reservation at an affiliated store introduced or recommended and then visits the affiliated store offline.

In addition, the user terminal 200 may be a terminal of a person who wants to make a visit reservation based on information introduced or recommended by a member through an open API.

That is, the user may be a member who introduces or recommends an affiliated store through an open API, or may be a member who makes a reservation for an offline visit of an affiliated store recommended by the member through an open API and then visits the affiliated store.

In addition, the user terminal 200 may be a terminal that receives a predetermined reward paid from the reward platform management server 400 to be described later through introduction or recommendation using an open API.

In addition, the user terminal 200 may be a terminal that receives a predetermined reward from the reward platform management server 400 to be described later when the offline visit is completed after making an online reservation for an affiliated store that introduced or recommended an open API.

At this time, the user terminal 200 may provide the number of people to visit together when making an online reservation or offline visit to the affiliated store that introduced or recommended the open API, and when paying a predetermined reward later, proportional to the number of people entered It may be a terminal receiving reward points.

Meanwhile, the user terminal 200 may be a terminal receiving additional services supported by an open API.

Here, the additional service may include a reservation reward amount for each store, the number of daily visit reservations for each store, commercial district analysis statistics for each region, and customer-specific comments and review services for visit reservations.

The user terminal 200 is, for example, a wireless communication device that ensures portability and mobility, and includes navigation, PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Communication System) 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, It may include all kinds of handheld-based wireless communication devices such as a smartphone, a smartpad, and a tablet PC.

In addition, the open API executed in the user terminal 200 may include applications, programs, web pages, etc. installed or driven in the user terminal through a network.

Here, the web browser refers to a program that allows users to use World Wide Web (WWW) services, and means a program that receives and displays hypertext described in HTML (hyper text mark-up languge), and, for example, Netscape ), Explorer, Chrome, etc.

In addition, an application means an application on a terminal, and includes, for example, an app executed on a mobile terminal (smart phone). Apps can be downloaded and installed from the application market, a virtual marketplace where mobile contents are freely bought and sold.

Next, the affiliated store terminal 300 is a terminal of an affiliated store subscribed to a service supported by the open API, and requests the reward platform management server to provide a predetermined reward point to a member who visits offline after online visit reservation. It can be a terminal.

Here, the amount of rewards points paid per person may be different for each affiliated store, and the amount paid per person for each affiliated store may be different for each affiliated store.

Next, the reward platform management server 400 recommends an affiliated affiliated store to a member, makes a reservation for a visit to the recommended affiliated store, or provides a reward supported by the affiliated store to a member who has visited the corresponding user terminal. It may be configured.

In addition, the reward platform management server 400 checks whether the location information for executing the open API in the user terminal 200 matches the location information of the affiliated store that has made a visit reservation, and if it matches, sends a predetermined message to the user terminal 200. It may be configured to pay reward points to a member's point account.

In addition, the reward platform management server 400, when a member of the user terminal 200 makes a reservation to visit an affiliated store introduced or recommended by another member, a predetermined reward to the other member at the time the user terminal visits the corresponding affiliated store It may be configured to provide points.

The reward platform management server 400 may be configured to calculate the number of people visiting reward points paid to the user terminal 200 and the daily reward set by the affiliated store by substituting them in a preset method.

The reward platform management server 400 may be configured to support visit reservation statistical information of affiliated merchants to the user terminal 200 .

The reward platform management server 300 may be configured to provide location information of an affiliate that pays a reward to the user terminal.

More specifically, the reward platform management server 400 includes a merchant registration unit 410, a visit reservation management unit 420, a reward point payment unit 430, a visit review management unit 440, a geographic information providing unit 450, and a search and A statistics service unit 460 is included.

The affiliated store registration unit 410 may be configured to register and manage affiliated stores using an open API to provide a predetermined reward point to customers who visit the store by making reservations and recommending members.

Here, the amount of the predetermined reward points paid to each customer may be different for each affiliated store, and the predetermined reward points are calculated through the reward point payment unit described later. can be paid A more detailed description of the reward points will be described later.

Next, the visit reservation management unit 420 may be configured to manage online visit reservation information in affiliated merchants.

Here, the visit reservation information may include information about the number of visitors, date, time, and the like.

Next, the reward point payment unit 430 checks whether the location information for executing the open API in the user terminal 200 matches the location information of the affiliated store for which the visit is reserved, and if it matches, the user terminal 200 sends a predetermined It may be configured to pay reward points to a member's point account.

In addition, when a member of the user terminal 200 makes a reservation to visit an affiliated store introduced or recommended by another member, a predetermined reward point may be provided to the other member at the time the user terminal visits the corresponding affiliated store.

In addition, it may be configured to calculate by substituting the number of people visiting the reward points paid to the user terminal 200 and the daily reward set by the affiliated store into a preset method.

Next, the visit review management unit 440 may be configured to manage information about visit reviews of affiliated stores that have been introduced by acquaintances or recommenders and made reservation visits.

In addition, the visit review management unit 440 may be configured to support a function for sharing among customers reviews, customer satisfaction evaluations, comments, large comments, and other information about service products of affiliated merchants.

In addition, a function of revoking the right to write a comment may be provided after determining whether the comment has positive influence or negative influence based on the review information of the comment input from the user terminal, and if the comment is determined to have negative influence.

In addition, it is possible to collect activity information of each customer by crawling comments posted by customers.

For example, based on customer A's social media account information, blog account information, or video site account information, etc., the customer's activity information is collected. Here, the activity information includes the number of customer comments, positive and negative tendencies of the comments, and the like.

In addition, it is possible to extract images, videos, or texts included in comments and social media to database the content posted by the corresponding customer, and to determine the types of components (eg, images, videos, text, etc.) By analyzing the arrangement of elements, it is possible to analyze the format of contents and comments that the customer frequently uses or registers.

In addition, it is possible to collect feedback from other users related to the content posted by the customer and analyze the amount of feedback and the content of the feedback (eg, feedback tendency (positive or negative)).

In addition, the amount of feedback and the details of the feedback may be used to analyze the feedback trend by content category, feedback trend by content content, or feedback trend by content format of the corresponding customer in association with the content category, content content, or content format.

For example, merchants, number of comment views by service product of merchants (e.g., number of visits, average number of visits, views, average number of views, etc.), number of content feedback (e.g., comments, retweets, 'likes') etc.) and feedback trends (eg, positive or negative) may be analyzed to generate analysis information.

The location information providing unit 450 may be configured to provide location information of affiliated stores (stores that provide visit reservation rewards) located within a preset radius from the user's location information.

The search and statistics service unit 460 may be configured to support a reservation reward amount for each store, the number of visit reservations per store per day, commercial district analysis statistics for each region, and customer-specific comment and review services for visit reservations.

In addition, it may be configured to support a service that ranks affiliate stores that match the search keyword and customer propensity information input from the customer terminal according to the location and proximity of the customer terminal, and recommends the service.

In addition, after extracting stores located in a preset radius from the current location of the user terminal, the reviews, comments, and customer reactions (positive or negative) of visitors who used the extracted stores are scored to create a recommendation level and position them at the highest level. It is possible to recommend the location information of the store to the customer terminal.

Additionally, the search and statistics service unit 460 may collect relevant information related to at least one content included in the category of affiliated merchants by interworking with a plurality of external servers.

Here, the related information collects the life management service supplier, supply route, SNS response, search amount, search frequency, gender/age, and the like.

At this time, among the collected related information, the information disclosure source (web address, etc., SNS ID, etc.) may self-filter unclear or inaccurate information.

In addition, the filtered and collected related information is classified into type, supplier, supply route, awareness, purchase desire, search amount, response, search frequency, searcher's gender/age, and related information source, but statistical values can be supported.

Here, the search and statistics service unit 460 disclosed herein refines unstructured data, structured data, and semi-structured data included in stored raw data in order to build big data, , pre-processing including classification as meta data can be performed, and analysis including data mining can be performed on the pre-processed data. And, the analyzed data can be visualized and output. At this time, data mining is a classification that predicts the class of new data by learning a training data set whose class is known by exploring the inherent relationship between preprocessed data, or clustering that groups data based on similarity without class information ( clustering) can be performed. Of course, various other mining methods may exist, and mining may be performed differently depending on the type of big data to be collected and stored or the type of query to be requested later. The big data constructed in this way may be verified through artificial neural network deep learning or machine learning.

At this time, a convolutional neural network (CNN) structure may be used as the artificial neural network. CNN is a network structure using a convolution layer and is suitable for image processing. because it can

In addition, text mining is a technique aimed at extracting and processing useful information from non/semi-structured text data based on natural language processing techniques. Through text mining technology, it is possible to extract meaningful information from a vast amount of text, identify connections with other information, find categories of text, or obtain results beyond simple information search. Using this, in the safe transaction service according to an embodiment of the present invention, large-capacity language resources and statistical and regular algorithms can be used to analyze an identifier or natural language input as a query and discover hidden information therein.

In addition, raw data, which is collected big data, is stored in parallel and distributed, and unstructured data, structured data, and semi-structured data included in the stored raw data are refined, , preprocessing including classification as meta data is performed, and analysis including data mining is performed on the preprocessed data to visualize and output the analyzed data.

6 is a flowchart illustrating a method of providing O2O-based customer attraction compensation according to an embodiment of the present invention.

Referring to FIG. 6, the O2O-based customer attraction reward providing method (S700) according to an embodiment of the present invention provides offline visits including visit time and number of visits for visiting affiliated stores recommended by acquaintances or members in a user terminal. When requesting a reservation (S710), the reward platform management server calculates a visit reward according to the offline visit reservation of the user terminal (S720).

Thereafter, after confirming whether the location information of the user terminal 200 executing the Open API in the reward platform management server 300 matches the location of the affiliated store, if the user terminal leaves the affiliated store's location, the The reward calculated according to the visit reservation to the user terminal is paid to the point account of the user terminal (S730).

Therefore, when using the O2O-based customer attraction compensation providing system and method according to an embodiment of the present invention, from the point of view of the consumer, as in the past, it is not a point payment form due to product purchase, There is an advantage in that a certain reward point can be provided only with this.

In addition, there is an advantage in that reward points can be provided in proportion to the number of people visiting together.

In the case of an affiliated store, there is an advantage in that it is possible to attract consumers' attention and secure loyal customers by substituting visitor reward points for existing advertising expenses.

7 is a diagram illustrating an example computing environment in which one or more embodiments set forth herein may be implemented, an illustration of a system 1000 that includes a computing device 1100 configured to implement one or more embodiments described above. shows For example, computing device 1100 may be a personal computer, server computer, handheld or laptop device, mobile device (mobile phone, personal digital assistant, media player, etc.), multiprocessor system, consumer electronics, mini computer, mainframe computer, distributed computing environments that include any of the foregoing systems or devices; and the like.

Computing device 1100 may include at least one processing unit 1110 and memory 1120 . Here, the processing unit 1110 may include, for example, a central processing unit (CPU), a graphics processing unit (GPU), a microprocessor, an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Arrays (FPGA), and the like. and may have a plurality of cores.

The memory 1120 may be volatile memory (eg, RAM, etc.), non-volatile memory (eg, ROM, flash memory, etc.), or a combination thereof. Additionally, computing device 1100 may include additional storage 1130 . Storage 1130 includes, but is not limited to, magnetic storage, optical storage, and the like. The storage 1130 may store computer readable instructions for implementing one or more embodiments disclosed herein, and may also store other computer readable instructions for implementing an operating system, application programs, and the like. Computer readable instructions stored in storage 1130 may be loaded into memory 1120 for execution by processing unit 1110 . Computing device 1100 can also include input device(s) 1140 and output device(s) 1150 .

Here, input device(s) 1140 may include, for example, a keyboard, mouse, pen, voice input device, touch input device, infrared camera, video input device, or any other input device. Output device(s) 1150 may also include, for example, one or more displays, speakers, printers, or any other output devices, or the like. Additionally, computing device 1100 may use an input device or output device included in another computing device as input device(s) 1140 or output device(s) 1150 . Computing device 1100 may also include communication connection(s) 1160 that allow computing device 1100 to communicate with other devices (eg, computing device 1300).

Here, communication connection(s) 1160 may be a modem, network interface card (NIC), integrated network interface, radio frequency transmitter/receiver, infrared port, USB connection, or other device for connecting computing device 1100 to other computing devices. May contain interfaces. Further, communication connection(s) 1160 may include a wired connection or a wireless connection. Each component of the aforementioned computing device 1100 may be connected by various interconnections such as a bus (eg, peripheral component interconnection (PCI), USB, firmware (IEEE 1394), optical bus structure, etc.) and may be interconnected by the network 1200. Terms such as "component" and "system" as used herein generally refer to a computer-related entity that is hardware, a combination of hardware and software, software, or software in execution.

The present invention is not limited by the foregoing embodiments and accompanying drawings. It will be clear to those skilled in the art that the components according to the present invention can be substituted, modified, and changed without departing from the technical spirit of the present invention.

100: O2O-based customer attraction reward system
200: user terminal
300: Merchant terminal
400: Rewards platform management server
410: merchant register
420: visit reservation management department
430: Rewards point payment unit
440: visit review management department
450: location analysis unit
460: Department of Search and Statistical Services

Claims (9)

A user terminal that introduces or recommends an affiliated store to an acquaintance or member using an open API and applies for an offline visit reservation of the affiliated store with recommended information recommended by the acquaintance or member; and
Includes a reward platform management server that recommends a member store to a member or pays a reward supported by the member store to a corresponding user terminal to a member who has made a reservation to visit the recommended affiliate store;
The reward platform management server
When the location information for executing the open API in the user terminal is matched with the above information of the affiliated store for which the visit is reserved, a predetermined reward point is paid to the member's point account to the user terminal,
An O2O-based customer attraction reward system that calculates by substituting the number of people visiting the reward points paid to the user terminal and the daily reward set by the affiliate in a preset method. delete According to claim 1,
The reward platform management server
When a member of the user terminal makes a reservation to visit an affiliated store introduced or recommended by another member, an O2O-based customer attraction reward system that provides a predetermined reward point to the other member at the time the user terminal visits the affiliated store. delete According to claim 1,
The reward platform management server
An O2O-based customer attraction compensation providing system that supports visit reservation statistical information of affiliated merchants with the user terminal. According to claim 1,
The reward platform management server
An O2O-based customer attraction reward providing system that supports affiliate store information that pays rewards to the user terminal. Applying for an offline visit reservation including a visit time and number of visits for visiting an affiliated store recommended by an acquaintance or member in a user terminal;
Calculating a visit reward according to the offline visit reservation of the user terminal in a reward platform management server; and
In the reward platform management server, after checking whether the location information of the user terminal executing the Open API matches the location of the affiliated store, if the user terminal leaves the affiliated store's location, calculation according to the visit reservation to the user terminal Including the step of paying the reward to the point account of the user terminal,
The step of calculating the visit reward is
A method for providing O2O-based customer attraction compensation, which is calculated by multiplying the number of visits entered in the user terminal by the daily reward set by the affiliated store. According to claim 7,
The step of applying for an offline visit reservation is
A method for providing O2O-based customer attraction compensation, comprising the step of providing a recommender who recommended the affiliated store, the number of parties to visit, and mobile phone numbers or SNS account information of the companions. delete

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