TWM581744U - Active fundraising system - Google Patents

Abstract

An active recruitment system includes a beacon device, a mobile device, a bank database, and a banking server. The mobile device pre-installs an application provided by a bank and enables the Bluetooth function. When a user moves the mobile device to the proximity of the beacon device, the beacon device locates and recognizes the mobile device according to the related technology of the beacon, and notifies the banking server, so that the banking server is based on the mobile device. The identification result selects at least one of the plurality of promotional information stored in the bank database to be broadcasted to the mobile device, so that when the user has a willingness to donate, the application selects how to donate to enhance The success rate of donations.

Description

Active counseling system

The present invention relates to a recruitment system, and more particularly to an active recruitment system.

At present, when various specific groups (such as public welfare groups) intend to accept donations from the public, they can only announce the deposit account of the designated bank, and the people will transfer the account to the designated deposit account to facilitate the reconciliation of specific groups and the receipt of the receipt. Because a specific group can only passively receive donations through announcement messages, the people who want to donate need to record the relevant specific accounts and messages in advance to make a transfer donation and return the donation message to a specific group. As a result, the people who originally intended to donate have a high chance of giving up the idea of giving up in these cumbersome processes. Therefore, how to improve the existing donation process experience becomes a problem to be solved.

Therefore, the purpose of the present invention is to provide an active recruitment system that effectively increases the rate of donations.

Thus, the present invention provides an active recruitment system comprising a beacon device, a mobile device, a bank database, and a banking server. The beacon device supports related technologies of beacons. The mobile device pre-installs an application (APP) provided by a bank and turns on the Bluetooth function. The bank database belongs to the bank and stores multiple promotional information for multiple specific groups. The bank server belongs to the bank and establishes a connection with the beacon device and the bank database.

When the user moves the mobile device to the proximity of the beacon device, the beacon device locates and recognizes the mobile device to notify the bank server to select the bank data according to the identification result of the mobile device. At least one of the sponsored information stored by the library is pushed to the mobile device.

In some implementations, each of the promotional information includes a donation message corresponding to a particular group, a specific group description, and a donation use. The donation message is displayed when the mobile device receives the one of the sponsored information. When the user is willing to donate to the corresponding specific group, the mobile device selects the donation message, and the mobile device opens the application to display a specific group description and a donation use corresponding to the information.

In some implementations, after the user views the specific group description and the donation use, the mobile device selects a specific group's transaction account number, whether to anonymously donate, and whether a receipt is required in the application by the mobile device. And inputting a donation amount and a transaction password, so that the bank server remits the donation amount to the transaction account of the specific group by a user account of the user.

In some implementations, wherein the bank server periodically generates a donation detail and a donor profile corresponding to each of the particular groups to provide the specific group for reconciliation and receipt.

In other implementations, the active recruitment system further includes an analysis system coupled to the bank server and the bank database. Wherein, when the banking server receives the identification result of the mobile device by the beacon device, determining, according to the identification result, a customer preference probability corresponding to the user. When the bank server determines that the customer preference probability is greater than a threshold, the banking server selects to push at least one of the advisory information to the mobile device.

In some implementations, wherein, when the bank server determines that the customer preference probability is greater than the threshold, and the number of donations of the user during a most recent predetermined period is greater than a predetermined number of times, the bank server selects not to Any of these promotional information is pushed to the mobile device.

In some implementations, wherein the banking server determines that the customer preference probability is less than or equal to the threshold, the banking server chooses not to push any of the promotional information to the mobile device.

In some implementations, the bank database also stores a plurality of donation materials of a plurality of customers of the bank, and a plurality of donated materials of the specific groups. The analysis system establishes, according to the donation data, a plurality of customer models of the customers that have been donated by the technology of big data analysis, and according to the customer models, and a recent donation of the customer that has been donated Time, a donation frequency, a donation amount, and a donation object, generate the customer preference rate corresponding to the customer. The customer models correspond to different specific groups. The analysis system establishes a specific group model corresponding to each of the specific groups according to a plurality of categories of the specific groups and the materials of the bonus data analysis, and generates the threshold according to the specific group model, each of the The donated materials include at least one of the donor's age, gender, family status, and a donation amount.

In some implementations, wherein the analysis system establishes another customer model corresponding to each of the customers according to a plurality of personal data of the customers that have not been donated more than a predetermined time, and according to the The customer model, and any of the personal data of the customer who has not made a donation beyond the predetermined time, generates the customer preference. Each of the personal data includes at least one of an age, a gender, a marital status, and a child status.

The utility model has the advantages that the application provided by the bank is pre-installed by the mobile device and the Bluetooth function is turned on, and the beacon device is set at a suitable place, so that when the user places the mobile device adjacent to the letter The target device can be located and successfully identified, and the bank server can then push one of the promotional information to the mobile device according to the identification result and the promotional information of the specific groups stored in the bank database. In this way, the user can not only clearly know the content of the specific group, but also can easily complete the donation by simply selecting or inputting, and can effectively raise the donation rate.

Before the present invention is described in detail, it should be noted that in the following description, similar elements are denoted by the same reference numerals.

Referring to FIG. 1, a first embodiment of the present active recruitment system includes a beacon device 2, a mobile device 3, a bank database 4, and a bank server 1. The bank server 1 and the bank database 4 belong to a bank, and the bank server 1 establishes a connection with the bank database 4, for example, to form an electrical connection in a wired manner. In this embodiment, the mobile device 3 is a smart phone, and in other embodiments, the mobile device 3 can also be a tablet computer or other networkable electronic device, and is not limited thereto.

The beacon device 2 supports a related technology of a beacon, such as an iBeacon technology of an iOS system or a Beacon technology of an Android system, and establishes a connection with the bank server 1. The bank database 4 stores a plurality of promotional information for a plurality of specific groups, each of which includes a donation message corresponding to a particular group, a specific group description, and a donation use. For example, each of the specific groups is a public interest group. One of the specific groups is the Magpie Foundation. The corresponding donation message is “After the care of the deaf family.” The specific group description is “The Magpie Foundation is made up of The parents of a group of mentally handicapped people are centered on the lifelong care and lifelong education of mentally handicapped people." The purpose of the donation is to "provide a safe future for the deaf children."

The mobile device 3 pre-installs an application (APP) provided by the bank and activates a Bluetooth function, for example, an application corresponding to the bank's mobile banking application, that is, an online banking application. When a user carries the mobile device 3 to move adjacent to the beacon device 2, the beacon device 2 locates and recognizes the mobile device 3. For example, when the Magpie Foundation conducts a recruitment activity in a shopping mall or on the sidewalk, the beacon device 2 will be placed in a place where the activity is set, and when the user walks in the mall or sidewalk, Opportunity to the beacon device 2.

After the beacon device 2 locates and recognizes the mobile device 3, the bank server 1 is notified, so that the bank server 1 selects the bank store 4 to store the bank store 1 according to the recognition result of the mobile device 3. At least one of the advisory information is pushed to the mobile device 3. For example, the bank server may select the promotion information according to a preset simple rule, such as a location set by the beacon device (ie, a specific group related to the promotion activity), or the user. This particular group that has been donated in the last three months or six months is not limited to this.

When the mobile device 3 receives the one of the sponsored information, the donation message is displayed. When the user is willing to donate to the corresponding specific group, the mobile device 3 selects the donation message, so that the mobile device 3 opens the application to display the specific group description corresponding to the information and the purpose of the donation. .

After viewing the specific group description and the purpose of the donation, the mobile device 3 selects a transaction account of a specific group in the application, whether to donate anonymously, and whether a receipt is required, and inputs a donation amount and a Transaction password, such that the bank server 1 remits the donation amount to the transaction account of the specific group by a user account of the user, and completes the behavior of the user donating to the specific group. That is to say, each of the specific groups and the users belong to the bank's customers, that is, the bank has its bank account number, and the active recruitment system can operate effectively. In addition, the bank server 1 also periodically (such as each month) generate a donation detail and a donor profile corresponding to each of the specific groups to provide the specific group for reconciliation and receipt.

Referring to Figure 1, a second embodiment of the novel active recruitment system further includes an analysis system 5. The analysis system 5 is connected to the bank server 1 and the bank database 4. In the present embodiment, the analysis system 5 also belongs to the bank. The second embodiment is substantially the same as the first embodiment, except that the bank database 4 also stores a plurality of donation materials of a plurality of customers of the bank, and a plurality of pieces of the donated materials of the specific groups.

The analysis system 5 performs cluster analysis based on the donation data by techniques of big data analysis to establish a plurality of customer models corresponding to the customers that have been donated. The customer models correspond to different specific groups. For example, each of the donation materials includes a recent donation time of the donor (ie, the customer), a donation frequency, a donation amount, and a donation object. In other words, the analysis system 5 can analyze the bank transfer behavior (such as the frequency of donations and the amount of donations) for the same donation account of the same group, and give corresponding weights for different behaviors to calculate the The probability value of the customer's donation again.

The analysis system 5 also performs cluster analysis based on the data of the big data analysis based on the plurality of personal data of the customers that have not been donated more than a predetermined time to establish another customer model corresponding to each of the customers. For example, each of the personal data includes at least one of an age, a gender, a marital status, and a child status. That is to say, the analysis system 5 is capable of analyzing the personal data of the customer, and even analyzing the customer's transfer and consumption behavior, such as card store information, to estimate the behavior of the customer's preferred preference.

The analysis system 5 also performs cluster analysis according to the plurality of categories of the specific groups and the technologies of the data received by the big data analysis to establish a specific group model corresponding to each of the specific groups, thereby calculating corresponding to a specific group. A threshold. Each of the donated materials contains at least one of the basic information of the donor (such as one age, one gender, one family status), one donation frequency, and one donation amount. These categories of such specific groups are differentiated according to the attributes and nature of the public interest group, such as vegetative, child and child protection, women's care, elderly services, special medical care, and animal protection groups.

When the bank server 1 receives the identification result of the mobile device 3 by the beacon device 2, the bank server 1 determines, according to the identification result, which customer of the bank the user is, and according to whether the customer Once the donation is selected to correspond to the customer model, the probability of a customer preference corresponding to the user is determined, that is, the probability value of the customer's donation again.

When the bank server 1 determines that the customer preference probability is greater than one of the thresholds, the bank server 1 selects at least one of the advisory information to be pushed to the mobile device 3. For example, the bank server 1 generates a corresponding threshold according to each of the specific group models. For example, three public interest groups have corresponding three thresholds, such as 0.3, 0.4, and 0.5, when the customer prefers a probability. When (e.g., 0.9) is greater than three thresholds, the bank server 1 pushes the three advisory information of the three public interest groups to the mobile device 3. Alternatively, the bank server 1 only pushes the offer information of the greatest difference between the customer preference probability and the threshold (such as a threshold of 0.3) to the mobile device 3. Alternatively, the bank server 1 can also decide how many pieces of promotional information to push to the mobile device 3 based on various pre-designed rules when the customer preference probability is greater than the threshold.

For another example, referring to Table 1, if the customers A, B, and C have not made any donations over the predetermined time (such as one year), or have not made a donation, the customer preference chances are 1.1, 1.2, and 0.5, respectively. Referring to Table 2, customers D, E, and F have made donations in the past year, and the customer preference rates calculated for specific groups X and Y are 1.4, 0.8, 1.2, and 0.3, respectively.  project  age  gender  Have you donated  Marital status  Have children  Customer preference  Is it greater than the threshold?  Customer A  30  Female  Yes  unmarried  no        Weights  0.3  0.3  0.4  0.1  0  1.1  Yes  Customer B  45  male  Yes  married  Have        Weights  0.4  0.1  0.4  0.2  0.1  1.2  Yes  Customer C  20  male  no  unmarried  no        Weights  0.2  0.1  0  0.1  0.1  0.5  no  Table I  project  Specific group  Whether to donate within 6 months  Frequency of donations (times/year)  Donation amount  Customer preference  Is it greater than the threshold?  Customer D  X  Yes  12  1000        Weights  0.1  0.1  1.2     1.4  Yes  Customer D  Y  Yes  6  500        Weights  0.1  0.1  0.6     0.8  no  Customer E  X  no  1  5000        Weights  0.1  1.0  0.1     1.2  Yes  Customer F  Y  Yes  1  1000        Weights  0.1  0.1  0.1     0.3  no  Table II  

Moreover, when the bank server 1 determines that the customer preference probability is greater than the threshold, and the number of donations of the user in the most recent predetermined period is greater than a predetermined number of times, the bank server 1 selects not to approve the information. Any of them is pushed to the mobile device 3. For example, the predetermined period is one month, and the predetermined number of times is two times, and is not limited thereto. When the bank server 1 determines that the customer preference probability is less than or equal to the threshold, that is, the customer preference probability is less than or equal to each of the thresholds, the bank server 1 selects not to any of the advisory information, Pushed to the mobile device 3.

In addition, it should be particularly noted that in the present embodiment, the number of the beacon devices 2 is one, for convenience of explanation. In other embodiments, the number of the beacon devices 2 may be a plurality of them to be set up in different suitable places for active recruitment.

In summary, the beacon device locates and identifies the adjacent mobile device successfully, to notify the bank server according to the identification result of the mobile device and the specific groups of the specific groups stored in the bank database. Advise the information and push one of the promotional information to the mobile device. Alternatively, the analysis system establishes the customer models and the specific group models based on the donation materials of the customers or the personal data and the donated materials of the specific groups, so that the bank server determines How to choose at least one of these promotional information. With the active recruitment system, the user can not only use the application of the mobile device to clearly know the content of the specific group, but also need to rely on a simple location or input to select how to donate and easily complete the donation. The program can effectively increase the donation rate, so it can achieve the purpose of this new model.

However, the above is only the embodiment of the present invention. When the scope of the novel implementation cannot be limited thereto, all simple equivalent changes and modifications according to the scope of the patent application and the contents of the patent specification are still This new patent covers the scope.

1‧‧‧Bank server

2‧‧‧Beacon device

3‧‧‧Mobile devices

4‧‧‧Bank database

5‧‧‧Analysis system

Other features and effects of the novel will be apparent from the embodiments of the drawings, in which:  1 is a block diagram showing a first embodiment and a second embodiment of the novel active recruitment system.  

Claims (9)

An active recruitment system for a single user and includes:  A Beacon device that supports related technologies of beacons;  a mobile device pre-installing an application (APP) provided by a bank and enabling Bluetooth functionality;  a bank database belonging to the bank and storing a plurality of recruitment information for a plurality of specific groups;  a bank server belonging to the bank and establishing a connection with the beacon device and the bank database,  When the user moves the mobile device to the proximity of the beacon device, the beacon device locates and recognizes the mobile device to notify the bank server to select the bank data according to the identification result of the mobile device. At least one of the sponsored information stored by the library is pushed to the mobile device.   The active recruitment system of claim 1, wherein each of the promotional information includes a donation message corresponding to a specific group, a specific group description, and a donation use, wherein the mobile device receives the offer information. In the case of the person, the donation message is displayed. When the user has the willingness to donate to the corresponding specific group, the mobile device selects the donation message, and the mobile device opens the application to display a specific information corresponding to the offer information. Group description and a donation purpose. The active recruitment system according to claim 2, wherein after viewing the specific group description and the purpose of the donation, the mobile device selects a transaction account of a specific group in the application by the mobile device, whether to make an anonymous donation, And whether a receipt is needed, and a donation amount and a transaction password are input, so that the bank server remits the donation amount to the transaction account of the specific group by a user account of the user. The active recruitment system of claim 3, wherein the bank server periodically generates a donation detail and a donor profile corresponding to each of the specific groups to provide the particular group for reconciliation and receipt. The active recruitment system as described in claim 1, further comprising an analysis system, connected to the bank server and the bank database, wherein  When the banking server receives the identification result of the mobile device by the beacon device, determining a preference probability of the user corresponding to the user according to the identification result,  When the bank server determines that the customer preference probability is greater than a threshold, the banking server selects to push at least one of the advisory information to the mobile device.   The active recruitment system according to claim 5, wherein the bank servo is used when the bank server determines that the customer preference probability is greater than the threshold, and the number of donations of the user in the most recent predetermined period is greater than a predetermined number of times The device chooses not to push any of the promotional information to the mobile device. The active recruitment system of claim 6, wherein when the bank server determines that the customer preference probability is less than or equal to the threshold, the banking server chooses not to push any of the promotional information to the The mobile device. An active recruitment system as described in claim 7, wherein  The bank database also stores multiple donations from multiple clients of the bank, as well as multiple grants from these specific groups.  The analysis system establishes, according to the donation data, a plurality of customer models of the customers that have been donated by the technology of big data analysis, and according to the customer models, and a recent donation of the customer that has been donated Time, a donation frequency, a donation amount, and a donation object, generating a customer preference rate corresponding to the customer, the customer models respectively corresponding to different specific groups,  The analysis system establishes a specific group model corresponding to each of the specific groups according to a plurality of categories of the specific groups and the materials of the bonus data analysis, and generates the threshold according to the specific group model, each of the The donated materials include at least one of the donor's age, gender, family status, and a donation amount.   The active recruitment system of claim 8, wherein the analysis system establishes another customer model corresponding to each of the customers based on a plurality of personal data of the customers that have not been donated more than a predetermined time. And generating, according to the customer model, the personal data of the customer who has not made any more donations than the predetermined time, each of the personal data includes an age, a gender, a marital status, and the presence or absence of At least one of the child states.