TWM614592U - Familiarity analysis device for customers - Google Patents

Abstract

A customer familiarity analysis device includes a customer status database, a data collection module, an analysis module, and a processing module. Based on the customer interaction date of the first interactive message or the second interactive message, obtain the multiple service requirements relative to the customer code and the individual service times of each service requirement, and based on the service requirement weight and the individual service requirement The service times are used to analyze the relative familiarity of the customer code, and transmit the familiarity of the analyzed customer code to the branch-end devices.

Description

Familiarity analysis device for customers

This new model relates to an electronic device, in particular to an analysis device for customer familiarity.

The existing relatively large-scale housing agency companies have set up websites that provide information on the purchase and sale of multiple housing objects. Users can browse the basic information of the housing objects on the website by operating a computer or mobile device, including the location of the housing objects. , Layout, building size, year, house photos, etc.

Nowadays, the Internet is popular, so people are accustomed to searching for information on the Internet. For the supply of real estate items, some providers of real estate items will present the pictures, layout and housing information of the items on the website. Some real estate property providers use statistical graphs to show offline services such as school districts and rental housing around the property. Therefore, for the industry, it is possible to infer the status of customers by observing the activity status of the people on the house agent website. However, before arranging a broker to contact the public, especially those who have never served before Brokers, how to let them have a preliminary understanding of the people they will serve is a problem that needs to be solved.

Therefore, the purpose of the present invention is to provide a familiarity analysis device for customers.

A customer familiarity analysis device includes a customer status database, a data collection module, an analysis module, and a processing module. Based on the customer interaction date of the first interactive message or the second interactive message, obtain the multiple service requirements relative to the customer code and the individual service times of each service requirement, and based on the service requirement weight and the individual service requirement The service times are used to analyze the relative familiarity of the customer code, and transmit the familiarity of the analyzed customer code to the branch-end devices.

The effect of the new model is that it can effectively allocate service requirements to service branches suitable for support.

1: Familiarity analysis device for customers

11: Memory unit

12: Communication unit

13: Processing unit

2: Analysis module

7: Data collection module

8: Customer status database

A~F: Service branch

A1~F1: branch device

A2~B2: serve the edge of the geographic scope

111, 112, 113, 114: online services

111P, 112P, 113P, 114P: the first service function

The other features and effects of the present invention will be clearly presented in the embodiments with reference to the drawings, among which:

Figure 1 is a block diagram illustrating that the new customer familiarity analysis device is connected to multiple branch-end devices via a communication network, where each branch-end device corresponds to a separate service branch;

Figure 2 is a schematic diagram illustrating that the service geographic range corresponding to each service branch is a polygon on the geographic coordinate plane;

Figure 3 is a schematic diagram illustrating that the first side and the second side of "Section 1 of Zhongzheng Road" are respectively included in the service geographic range corresponding to service branch A and service branch B;

Figure 4 is a schematic diagram illustrating a target area corresponding to "Section 1 of Zhongzheng Road"; and

Figure 5 is a schematic diagram illustrating the situation where the target area corresponding to "Section 1 of Zhongzheng Road" overlaps with the service geographic range corresponding to each of the multiple service branches, and the target area corresponding to "Zhongxing Street" is only the same as the service The geographic areas of service corresponding to branch D overlap.

Referring to Figure 1, the implementation of the new customer familiarity analysis device 1 is a server, which includes a memory unit 11, a communication unit 12, a processing unit 13, an analysis module 2, a data collection module 7, and customer status data Library 8. The customer status database 8 stores a plurality of customer status data. Each customer status data mainly includes a customer code, and a first event message or a second event message. The first event message includes the customer code and a customer interaction. The date and the multiple service requirements of the customer code and the individual service times of each service requirement, and the service requirement is mainly If it is used for an offline service, the second activity message indicates the customer code, a customer interaction date, and a second service function of the customer code. The offline service includes at least watch, mediation, transaction or other transaction-related the behavior of.

When the analysis module 2 is based on the customer interaction date of the first event message or the second event message, it obtains a plurality of service requirements relative to the customer code and the individual service times of each service requirement, and based on the service requirement weight and each service requirement The individual service times of each service request to analyze the relative familiarity of the customer code, and transmit the familiarity of the analyzed customer code to the branch-side devices, so that the broker who confirms the receipt can go to the exclusive service This customer, at the same time, let the broker have a preliminary understanding of the customer to be served based on the level of familiarity.

The service demand weight is based on the possibility of the offline service for reaching a transaction, and the evaluation is made for watching, mediating, closing or other transaction-related behaviors. Based on this principle, the higher the score of the familiarity level, the higher the possibility of closing the transaction. For example, in the familiarity level, the order is 1 transaction, greater than mediation 2 times, 1 time, greater than 2, 1 Second-rate. In addition to this level of familiarity, the customer profile can be further provided for reference by the broker.

When the analysis module 2 finds that the frequency of use of the first service function or the second service function has increased above the threshold, it is determined that the customer code is active, and the customer code is analyzed for the first activity used by the customer code. The first service function of the plurality of offline services in the message or the second service function in the second activity message is calculated, and the display between the first service function and the second service function relative to the customer code is calculated Of a customer profile. In order to perform the above analysis operation, it is also necessary to use the data collection module 7 to receive the first activity message or the second activity message from the client device through the communication unit 12, and to combine the first activity message or the second activity message The information is stored in the customer status database 8, and then the analysis module 2 performs analysis based on the customer interaction date of the first event message or the customer interaction date of the second event message.

In other words, to actually trigger the above analysis process, you can only determine that the customer code is active, and then transmit the familiarity level and customer profile to which the analyzed customer code belongs to these branch-side devices to allow the broker to confirm the receipt People go to serve this customer exclusively. The following further explains how to transfer information to these branch-side devices.

Since the objects that each branch and broker can serve are often restricted by geographic location, when transmitting the information to these branch-side devices, additional consideration of the service responsibility is required. The service responsibility is based on the customer’s behalf The regular activity area and the location of these branches. The processing unit 13 receives the analyzed customer code from the analysis module 2, and assigns the service demand related to the analyzed customer code to one of the service branches, and cannot be responsible for providing the service at the service branch. When the service is directed to the service demand, the service demand is allocated to other service branches that can be supported. In this embodiment, six service branches A~F are used for illustration.

As shown in Figure 2, the offline service system includes multiple offline services. For example, the offline service system may further include at least one additional offline service 121, a recommended offline service 131, and a customer code 15. There are multiple interactive relationships between the customer code 15 and the multiple offline services. The plurality of offline services each have a plurality of first service functions

The plurality of online services respectively belong to a plurality of online service categories H111, H112, H113, and H114, and each of the plurality of online service categories H111, H112, H113, and H114 is a plurality of online service categories HA1 and HA2. The additional online service 121 belongs to an additional online service category HB1, and the additional online service category HB1 is different from any one of the plurality of online service categories HA1 and HA2. The recommended online service 121 belongs to a recommended online service category HC1. For example, the multiple online service categories HA1 and HA2 are the rental housing category and the housing purchase category, and the amount The external online service category HB1 is a loan category. For example, two online services 112 and 113 belong to the rental housing category and the housing purchase category, respectively.

In Figure 1, the data collection module 7 receives a first interactive message S11 or a second interactive message S12 from the user. The first request message S11 includes the customer code, the date of customer interaction, and a plurality of online services of the customer code, and the service demand is mainly for the use of the online service, and the second request message indicates the customer code, date of customer interaction And a second service function of the customer code.

For example, in order to search for an object, the user will at least mention the relative online service, the object he wants, and the date of customer interaction in the first interactive message S11 he uses. Among them, in the customer status database, the customer interaction time mentioned in the first interaction message S11 of the relative customer code is defined as the customer interaction date.

In order to collect more information about user activities, the system can also place special devices in specific physical locations and discover the existence of the devices used by the users. The mobile phone WIFI signal is detected and recorded, that is, the user may also send the second interactive message S12 in a passive state when entering the physical store. The second request message S12 indicates that the client agent Code, customer interaction date, and a second service function of the customer code (that is, the location of the above-mentioned special device).

As shown in Figure 3, the plurality of online service data respectively include a plurality of first service function information representing the first service function, and a plurality of online service category indicators respectively indicating the plurality of online service categories. The online service The name includes icon data representing a first icon and a statistical graph data block representing a statistical graph, the statistical graph having a plurality of marking icons respectively corresponding to the first service function information. To put it simply, the statistical graph mainly displays a plurality of interactive messages in the form of a statistical graph, in which the X-axis customer interaction date corresponds to the service on the Y-axis.

In this way, based on the customer interaction date of the first interaction message or the customer interaction date of the second interaction message, it is found that the frequency of use of the first service function or the second service function exceeds the threshold , It is determined that the customer code is analyzed, and the communication unit 12 is used to prompt the customer code as an analyzed customer for the analysis module 2.

More specifically, the customer has been between December 2018 and February 2019. After it is obvious that no interactive messages are generated, the device automatically continues to observe every day until mid-February during the first few days when the customer is active , It can notify the broker that there are active customers, so that the broker can grasp the golden moment of contacting customers to increase the watch rate and reduce the churn rate of potential purchases.

In addition to determining that the customer code is analyzed, in order for the broker to initially grasp the profile of the customer when receiving the notification, it also targets the plurality of online lines in the first interactive message used by the customer code that has been analyzed. The first service function of the service or the second service function in the second interactive message calculates the customer profile displayed between the first service function and the second service function relative to the customer code, such as the fourth As shown in the figure.

After learning the analyzed customer code and customer profile, the processing unit 13 allocates the service requirements related to the analyzed customer code to one of the service branches.

Please refer to Figure 5. The memory unit 11 prestores a geographic coordinate of each service branch, information of a service geographic area and a broadcasting area corresponding to each service branch, and the geographic area covered by each residential community. News. Each service geographic range is a polygon on the geographic coordinate plane and covers the geographic coordinates of the corresponding service branch, and each side of the polygon corresponds to a road and the road corresponds to at least one side of the polygon, so that the polygon is based on the road profile The geographical area divided out; among them, in particular, because the road is not necessarily completely straight, so when the road is not completely straight, the road corresponds to the second polygon More than one adjacent edge. The geographic area covered by each residential community is also represented by a polygon on the geographic coordinate plane.

For each side of each service geographic area, one of the two sides of the road corresponding to the side is included in the service geographic area, and the other side is not included in the service geographic area. In addition, for each side of each service geographic range, the road corresponding to the side satisfies one of the road width greater than a threshold and the traffic flow is greater than the other threshold, that is, the road corresponding to the side is a The main road or a main road to reduce the extra waiting time caused by the branch business staff crossing the main road to provide services. For example, "Section 1 of Zhongzheng Road" corresponds to two adjacent sides A2 of the service geographic area corresponding to service branch A and two adjacent sides B2 of the service geographic area corresponding to service branch B, and the "Section 1 of Zhongzheng Road" The first side is included in the service geographic range corresponding to service branch A, and the buying and selling services of house objects located on the first side is in charge of service branch A; and the second side is included in the service geographic range corresponding to service branch B , The service branch B is responsible for the buying and selling services of the house objects on the second side. Although the house object on the first side and the house object on the second side are geographically close to each other, the above-mentioned division of the service geographical range of the service branch allows the business staff of the service branch A to avoid crossing the "Zhongzheng Road" One paragraph" (Malaysia Road) to the second side for service, so that the business staff of the service branch B do not need to cross the "section of Zhongzheng Road" to the first side for service.

The broadcast area corresponding to each service branch includes other service geographic areas adjacent to the service geographic area corresponding to the service branch, where part of a road corresponds to one side of the service geographic area and corresponds to another service geographic area. On one side, the service geographic area is adjacent to the other service geographic area. For example, the broadcast area corresponding to service branch A includes the service geographical range corresponding to service branch B, the service geographical range corresponding to service branch C, the service geographical range corresponding to service branch D, and the service geographical range corresponding to service branch F Service geographical range; the broadcasting area corresponding to service branch B includes the service geographical range corresponding to service branch A, the service geographical range corresponding to service branch C, the service geographical range corresponding to service branch D, and the service geographical range corresponding to service branch E Service geographic scope and so on.

The memory unit 11 also prestores a duty information of each service branch, and the duty information records the on-duty time of each business person working in the service branch and the contact information of the mobile device they hold.

The communication unit 12 connects the analysis module 2 to a plurality of branch-end devices A1 to F1 respectively corresponding to the service branches A to F via a communication network, wherein each branch-end device is the business staff on duty of the corresponding service branch The mobile device you are using.

When the processing unit 13 receives the analyzed customer code from the analysis module 2 through the communication unit 12, the processing unit 13 generates a corresponding customer code on the geographic coordinate plane according to the analyzed customer code. The target area of the customer code analyzed. When the analyzed customer code is a road name and its section, lane, and alley value, it is impossible that the location of the house object is located on the section, lane, or alley road, but on both sides of the road. Therefore, the target area is an area obtained by taking the road as the center on the geographic coordinate plane and extending a predetermined distance outwards from both sides of the road. Take "Section 1 of Zhongzheng Road" as an example. In implementation, the memory unit 11 can pre-store a map database. When the analyzed customer code is "Section 1 of Zhongzheng Road", the processing unit 13 first queries the geographic location of "Section of Zhongzheng Road" according to the map database. Position information, and then calculate an axis separating the first side and the second side of the "section of Zhongzheng Road" on the geographic coordinate plane based on the geographic position information, and then from the axis toward the first side and the second side Extend the predetermined distance outward to obtain the target area.

When the analyzed customer code is the name of a residential community, the target area is the geographic range covered by the residential community on the geographic coordinate plane. For example, as shown in FIG. 2, if the analyzed customer code is "Xinyi Community", the target area is the area surrounded by the polygon corresponding to the "Xinyi Community" stored in the memory unit 11.

After the processing unit 13 transmits the analyzed customer code and the familiarity level to the second branch-end device, if it is received from the second branch-end device via the communication unit 12 within a predetermined second time period After receiving a pair of the customer code that should have been analyzed and used to reply to the reply message that is responsible for processing the service demand, the processing unit 13 does not perform further processing; otherwise, the processing unit 13 uses the communication unit 12 to perform the analysis The customer code and the familiarity level are transmitted to the branch-end device corresponding to each service geographic area in the broadcasting area corresponding to the second branch-end device, so as to further request support from other service branches.

To sum up, the new customer familiarity analysis device of the present invention pre-stores the service geographic range and broadcast area corresponding to each service branch in the memory unit, and enables the processing unit to receive the analyzed customer code Then, according to the analyzed customer code, the analyzed customer code and the familiarity level are transmitted to the first branch-end device to request support from the service branch corresponding to the first branch-end device, and when it is determined When the reply message is not received from the first branch device within the first time period, the analyzed customer code and the familiarity level are further transmitted to the said customer based on the geographic coordinates of the service branches. A second branch-end device in the branch-end device requests support from the service branch corresponding to the second branch-end device, and when it is determined that it is in the second time period When the reply message is not received from the second branch device within a period of time, the analyzed customer code and its familiarity level are further transmitted to each service location in the broadcast area corresponding to the second branch device The branch-end device corresponding to the range can further request support from other service branches. In this way, the service demand can be effectively allocated to the service branch suitable for support, so it can indeed achieve the goal of new cost.

However, the above are only examples of the present model, and should not be used to limit the scope of implementation of the present model, all simple equivalent changes and modifications made in accordance with the patent scope of the present model application and the contents of the patent specification still belong to This new patent covers the scope.

1: Familiarity analysis device for customers

11: Memory unit

12: Communication unit

13: Processing unit

2: Analysis module

7: Data collection module

8: Customer status database

A~F: Service branch

A1~F1: branch device

Claims (8)

A familiarity analysis device for customers, including: A customer status database, the customer status database is used to store a plurality of customer status data, each customer status data mainly includes a customer code, and a first event message or a second event message, where the first event message A plurality of service requirements including the customer code, a customer interaction date, and the customer code and the individual service times of each service requirement. The service requirement is mainly for the use of offline services, and the second event message indicates the customer code , A customer interaction date and a second service function of the customer code. The offline service includes at least watch, mediation, transaction or other transaction-related behaviors; A data collection module, coupled to the customer status database, receives the first activity message or the second activity message from a transaction processor through a communication unit, and stores the first activity message or the second activity message To the customer status database, the transaction processor records, processes, and maintains information about watch, mediation, transaction, or other transaction-related behaviors; An analysis module coupled with the data collection module and the customer status database, based on the customer interaction date of the first event message or the second event message, to obtain a plurality of service requirements and each service relative to the customer code Individual needs The number of services, and based on a service demand weight and the individual service times of each service demand, to analyze the relative familiarity of the customer code. The service demand weight is based on the probability of the offline service for completing the transaction. See, mediate, deal or evaluate other transactions related to the transaction. The higher the score of the familiarity level, the higher the possibility of completing the transaction; A communication unit, connected to an analysis module and a plurality of branch-end devices respectively corresponding to a service branch via a communication network; A memory unit storing a geographic coordinate of each service branch; and A processing unit, coupled with the analysis module, the communication unit, and the memory unit, through the communication unit to transmit the analyzed customer code and the degree of familiarity to the branch-side devices relatively having a service responsibility A first branch-end device, and when the processing unit determines that it has not received a pair of the analyzed customer code from the first branch-end device via the communication unit within a predetermined first time period and used it to reply When responsible for processing the response message of the service request, the processing unit transmits the analyzed customer code and the familiarity level to a second branch terminal device among the branch-side devices according to the geographic coordinates of the service branches The distance between the geographic coordinates of the service branch corresponding to the second branch device and the geographic coordinates of the service branch corresponding to the first branch device is within a predetermined distance. The activity area and the location of these branches are determined. For example, the customer familiarity analysis device according to claim 1, wherein the analysis module finds that the frequency of use of the first service function or the second service function has increased above a threshold value, and then it is determined that the customer code is already Active, and for the first service function of the plurality of online services in the first activity message used by the active customer code or the second service function in the second activity message, the customer code is calculated relative to A customer profile displayed between the first service function and the second service function, and the processing unit transmits the analyzed customer code, the familiarity level, and the customer profile to the branch-end devices. The customer familiarity analysis device according to claim 1, wherein the memory unit also stores information of a service geographic area and a broadcasting area corresponding to each service branch, and the service geographic range covers the corresponding service branch’s information Geographical coordinates, where the broadcast area includes other geographic areas of service adjacent to the geographic area of the service, and when the processing unit determines that it is not received from the second branch-end device via the communication unit within a predetermined second time period one When corresponding to the analyzed customer code and used to reply to a reply message that is responsible for processing the service demand, the processing unit transmits the analyzed customer code and the familiarity level to the second branch through the communication unit The branch-end device corresponding to each service geographic area in the broadcasting area corresponding to the device. The device for analyzing customer familiarity according to claim 3, wherein each geographic area of the service is a polygon on the geographic coordinate plane, and each side of the polygon corresponds to a road and the road corresponds to at least one side of the polygon, and So that the polygon is a geographical range divided according to the road profile, and if a part of a road section corresponds to one side of a service geographical range and corresponds to one side of another service geographical range, then the service geographical range is the same as the other service geographical range. adjacent. The device for analyzing the familiarity of the customer according to claim 4, wherein when the processing unit determines that the broadcasting area corresponding to the second branch-end device includes multiple service geographic ranges and is within a predetermined third time period When the communication unit receives a pair of the customer code that should have been analyzed from one of all branch-end devices corresponding to the geographic area of the service and uses it to reply to the reply message that can handle the service demand, the processing unit A confirmation message is sent to the branch-side devices through the communication unit, wherein the confirmation message indicates that the The service demand related to the analyzed customer code is allocated to the service branch corresponding to the branch-end device that sent the reply message. The device for analyzing customer familiarity according to claim 5, wherein when the processing unit determines that the broadcasting area corresponding to the second branch-end device only includes a service geographic range, the processing unit only transmits the analyzed The customer code and its degree of familiarity without sending the confirmation message. The customer familiarity analysis device according to claim 4, wherein for each side of each service geographic area, one of the two sides of the road corresponding to the side is included in the service geographic area, and the other The side is not included in the geographic scope of the service. The device for analyzing customer familiarity according to claim 7, wherein for each side of each service geographic range, the road corresponding to the side satisfies one of the road width greater than one threshold value and the traffic flow greater than the other threshold value one.

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