CN113139000A - Information processing method, device, system and medium for obtaining customers - Google Patents
Information processing method, device, system and medium for obtaining customers Download PDFInfo
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Abstract
The disclosure provides an information processing method for obtaining a guest, and belongs to the technical field of big data. The method comprises the steps of responding to query operation of a user, and acquiring the geographic position of the user; displaying information of enterprises in a preset area range around the geographical position of the user to obtain a first enterprise information set; the information of the enterprise comprises the name of the enterprise and/or a social uniform credit code of the enterprise; marking each enterprise in the first enterprise information set as an existing client enterprise or a client enterprise to be expanded on the basis of the matching condition of the information of each enterprise in the first enterprise information set and pre-stored existing client information; the existing client enterprises are the enterprises which are successfully matched with the pre-stored existing client information, and the to-be-expanded client enterprises are the enterprises which are failed to be matched with the existing client information. The present disclosure also provides an information processing apparatus, system, and medium for acquiring a guest.
Description
Technical Field
The present disclosure belongs to the field of big data technology, and more particularly, to an information processing method, apparatus, system, and medium for obtaining a guest.
Background
With the rapid development of mobile internet, artificial intelligence and big data technology, the traditional way of contacting clients for providing services by means of artificial experience and floor sweeping is low in efficiency and needs to be changed urgently. The new technology is applied to help enterprises to timely and accurately acquire the information of the clients, and is of great importance for improving the effect that the enterprises provide better service for the clients.
Disclosure of Invention
In view of this, the embodiments of the present disclosure provide an information processing method, apparatus, system, and medium for obtaining a guest.
One aspect of the disclosed embodiments provides an information processing method for acquiring a guest. The method comprises the following steps: responding to the query operation of the user, and acquiring the geographic position of the user; displaying information of enterprises in a preset area range around the geographical position of the user to obtain a first enterprise information set; the information of the enterprise comprises the name of the enterprise and/or a social uniform credit code of the enterprise; marking each enterprise in the first enterprise information set as an existing client enterprise or a client enterprise to be expanded on the basis of the matching condition of the information of each enterprise in the first enterprise information set and pre-stored existing client information; the existing client enterprises are the enterprises which are successfully matched with the pre-stored existing client information, and the to-be-expanded client enterprises are the enterprises which are failed to be matched with the existing client information.
According to an embodiment of the present disclosure, the information of the business further includes registered capital of the business, and the method further includes presenting to the user an existing customer asset proportion corresponding to the user's geographic location. Wherein the existing customer assets are in a ratio of the sum of the registered capital of the existing customer enterprises within the predetermined area around the corresponding geographic location to the sum of the registered capital of all enterprises within the predetermined area around the geographic location.
According to an embodiment of the present disclosure, before the obtaining the geographic location of the user, the method further includes obtaining the regional customer information list through a batch operation. The regional customer information list is used for representing information of enterprises in the preset region range around each geographic position, existing customer enterprises and to-be-expanded customer enterprises in the information, and existing customer asset proportion corresponding to each geographic position in M geographic positions; wherein M is an integer greater than 1. After the obtaining the geographic location of the user, the method further comprises: matching the user geographic location with the M geographic locations; and under the condition that the geographic position of the user is successfully matched with one of the M geographic positions, acquiring the first enterprise information set, existing client enterprises and client enterprises to be expanded in the first enterprise information set from the regional client information list, and the proportion of the existing client assets corresponding to the geographic position of the user.
According to an embodiment of the present disclosure, the obtaining of the regional customer information list through a batch operation includes: searching information of enterprises in the preset area range around the geographic position to be processed aiming at any geographic position to be processed in the M geographic positions to obtain a second enterprise set; matching the information of the enterprises in the second enterprise set with the existing customer information to determine existing customer enterprises and customer enterprises to be expanded in the second enterprise set; obtaining the existing customer asset proportion corresponding to the geographic position to be processed based on the ratio of the registered capital sum of the existing customer enterprises in the second enterprise set to the registered capital sum of all enterprises in the second enterprise set; and forming a record in the regional customer information list based on the geographic position to be processed, the existing customer enterprises and the client enterprises to be developed in the second enterprise set and the existing customer proportion corresponding to the geographic position to be processed.
According to an embodiment of the present disclosure, the presenting information of businesses in a predetermined area around the geographic location of the user to the user further includes presenting information of businesses in the first business information set in a list and/or map mode.
According to an embodiment of the present disclosure, the method further comprises: acquiring the industrial and commercial registration detail information of the enterprises in the first enterprise information set, wherein the industrial and commercial registration detail information comprises at least one of the following information: enterprise basic information, high management information, beneficial owners, enterprise risk information, administrative penalty information, enterprise association relations, enterprise genealogies or bare shell identification information; and displaying the business registration detail information of the enterprise of which the detail is to be checked to the user based on the detail checking operation of the user on any enterprise in the first enterprise information set.
According to an embodiment of the present disclosure, the method further comprises: taking the enterprises with important attention selected by the user from the first enterprise information set as risk monitoring enterprises; and monitoring the change condition of the business registration detail information of the risk monitoring enterprise so as to inform the user when the change occurs.
In another aspect of the disclosed embodiments, an information processing apparatus for obtaining a guest is provided. The device comprises an acquisition module, a display module and a marking module. The acquisition module is used for responding to the query operation of the user and acquiring the geographic position of the user. The display module is used for displaying information of enterprises in a preset area range around the geographical position of the user to obtain a first enterprise information set; the information of the enterprise includes a name of the enterprise and/or a social uniform credit code of the enterprise. The marking module is used for marking each enterprise in the first enterprise information set as an existing client enterprise or a client enterprise to be expanded on the basis of the matching condition of the information of each enterprise in the first enterprise information set and pre-stored existing client information; the existing client enterprises are the enterprises which are successfully matched with the pre-stored existing client information, and the to-be-expanded client enterprises are the enterprises which are failed to be matched with the existing client information.
According to the embodiment of the disclosure, the display module is further used for displaying the existing customer asset occupation ratio corresponding to the user geographic position to the user. Wherein the information for the business further includes registered capital for the business, the existing customer assets comprising a ratio of the sum of the registered capital for existing customer businesses within the predetermined area surrounding the corresponding geographic location to the sum of the registered capital for all businesses within the predetermined area surrounding the geographic location.
According to the embodiment of the disclosure, the device further comprises a batch processing module and a single point query module. The batch processing module is used for obtaining an area customer information list through batch processing operation before the geographic position of the user is obtained; the regional customer information list is used for representing information of enterprises in the preset region range around each geographic position, existing customer enterprises and to-be-expanded customer enterprises in the information, and existing customer asset proportion corresponding to each geographic position in M geographic positions; wherein M is an integer greater than 1. The single-point query module is used for matching the user geographical position with the M geographical positions after the user geographical position is obtained, and obtaining the first enterprise information set, existing client enterprises and client enterprises to be expanded from the regional client information list under the condition that the user geographical position is successfully matched with one of the M geographical positions, and the existing client asset proportion corresponding to the user geographical position.
According to an embodiment of the present disclosure, the batch processing module is specifically configured to: searching information of enterprises in the preset area range around the geographic position to be processed aiming at any geographic position to be processed in the M geographic positions to obtain a second enterprise set; matching the information of the enterprises in the second enterprise set with the existing customer information to determine existing customer enterprises and customer enterprises to be expanded in the second enterprise set; obtaining the existing customer asset proportion corresponding to the geographic position to be processed based on the ratio of the registered capital sum of the existing customer enterprises in the second enterprise set to the registered capital sum of all enterprises in the second enterprise set; and forming a record in the regional customer information list based on the geographic position to be processed, the existing customer enterprises and the client enterprises to be developed in the second enterprise set and the existing customer proportion corresponding to the geographic position to be processed.
According to an embodiment of the present disclosure, the apparatus further includes a second obtaining module, and a detail viewing module. The second obtaining module is configured to obtain business registration detail information of an enterprise in the first enterprise information set, where the business registration detail information includes at least one of: enterprise basic information, high management information, beneficial owners, enterprise risk information, administrative penalty information, enterprise affiliations, enterprise genealogies, or void-shell identification information. The detail viewing module is used for displaying the business registration detail information of the enterprise of which the detail is to be viewed to the user based on the detail viewing operation of the user on any enterprise in the first enterprise information set.
According to an embodiment of the present disclosure, the apparatus further comprises a risk monitoring module. The risk monitoring module is used for taking an enterprise which is selected by the user from the first enterprise information set and focuses on as a risk monitoring enterprise; and monitoring the change condition of the business registration detail information of the risk monitoring enterprise so as to inform the user when the change occurs.
In another aspect of the disclosed embodiments, an information processing system for obtaining a guest is provided. The system includes one or more memories, and one or more processors. The memory stores executable instructions. The processor executes the executable instructions to implement the method as described above.
Another aspect of the embodiments of the present disclosure provides a computer-readable storage medium storing computer-executable instructions for implementing the method as described above when executed.
Another aspect of embodiments of the present disclosure provides a computer program comprising computer executable instructions for implementing the method as described above when executed.
One or more of the above-described embodiments may provide the following advantages or benefits: the problem of low efficiency of traditional floor-sweeping marketing customer acquisition can be at least partially relieved, and therefore before business personnel contact customers, information of peripheral enterprise customers can be provided for the business personnel, and the business personnel are informed of which customers are available and which customers are expandable, so that the business personnel can have more pertinence and more accuracy in service content when performing customer service, and repeated marketing is avoided.
Drawings
The above and other objects, features and advantages of the present disclosure will become more apparent from the following description of embodiments of the present disclosure with reference to the accompanying drawings, in which:
fig. 1 schematically shows a system architecture of an information processing method and apparatus for obtaining a guest according to an embodiment of the present disclosure;
fig. 2 schematically shows a conceptual illustration of an information processing method for obtaining a guest according to an embodiment of the present disclosure;
FIG. 3 schematically shows a flow chart of an information processing method for obtaining a guest according to an embodiment of the present disclosure;
FIG. 4 schematically illustrates a user interface diagram showing business information in a map mode;
FIG. 5 schematically illustrates a user interface diagram showing business information in list form;
fig. 6 schematically shows a flowchart of an information processing method for obtaining a guest according to another embodiment of the present disclosure;
fig. 7 schematically shows a flowchart of an information processing method for acquiring a guest according to another embodiment of the present disclosure;
FIG. 8 schematically illustrates a flow diagram of a method of obtaining a regional customer information list via a batch operation, in accordance with an embodiment of the present disclosure;
fig. 9 schematically shows a flowchart of an information processing method for acquiring a guest according to still another embodiment of the present disclosure;
fig. 10 schematically shows a block diagram of an information processing apparatus for acquiring a guest according to an embodiment of the present disclosure; and
fig. 11 schematically illustrates a block diagram of a computer system for acquiring guests, in accordance with an embodiment of the present disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.
The embodiment of the disclosure provides an information processing method, device, system and medium for obtaining a guest. The method comprises the steps of firstly responding to query operation of a user, obtaining a user geographic position, then displaying enterprise information in a preset area range around the user geographic position to the user to obtain a first enterprise information set, and marking each enterprise in the first enterprise information set as an existing client enterprise or a client enterprise to be expanded on the basis of matching condition of the information of each enterprise in the first enterprise information set and pre-stored existing client information, wherein the existing client enterprise is an enterprise which is successfully matched with the pre-stored existing client information, and the client enterprise to be expanded is an enterprise which is failed to be matched with the existing client information. In this way, the information of the enterprise clients nearby can be provided for business personnel, and the business personnel are informed of which clients are already provided and which are expandable clients, so that the service contents of the business personnel can be more targeted and accurate when the business personnel perform client service, and repeated marketing is avoided.
It should be noted that the information processing method, apparatus, system, and medium for obtaining a customer according to the present disclosure may be used in the financial field, and may also be used in any field other than the financial field.
Fig. 1 schematically illustrates a system architecture 100 of an information processing method and apparatus for obtaining a guest according to an embodiment of the present disclosure. It should be noted that fig. 1 is only an example of a system architecture to which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, and does not mean that the embodiments of the present disclosure may not be applied to other devices, systems, environments or scenarios.
As shown in fig. 1, the system architecture 100 according to this embodiment may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The terminal devices 101, 102, 103 may have installed thereon various communication client applications, such as a bank management system, a government affairs application, a monitoring application, a web browser application, a search application, an office application, an instant messaging tool, a mailbox client, social platform software, and the like (for example only).
The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 105 may receive the requests sent by the terminal devices 101, 102, 103, process the requests and feed back to the terminal devices 101, 102, 103. Server 105 may be a back office server, a cluster of servers, or the like. For example, the server 105 may search information of an enterprise in a predetermined area range around the geographic position according to the geographic position where the terminal device 101, 102, 103 is located or a geographic position customized by the user at the terminal device 101, 102, 103, mark an existing client enterprise in which a service relationship has been established and a client enterprise to be expanded in which a service relationship has not been established according to a matching condition of the searched information of the enterprise and inventory client information, and feed back the information of the searched enterprise and information of the existing client enterprise or the client enterprise to be expanded to the terminal device 101, 102, 103 for display.
It should be noted that the information processing method for obtaining a guest provided by the embodiment of the present disclosure may be generally executed by the server 105. Accordingly, the information processing apparatus, system, and medium for acquiring guests provided by the embodiments of the present disclosure may be generally disposed in the server 105. The information processing method for obtaining the client provided by the embodiment of the present disclosure may also be performed by a server or a server cluster that is different from the server 105 and is capable of communicating with the terminal devices 101, 102, 103 and/or the server 105. Accordingly, the information processing apparatus, system, and medium for obtaining a guest provided by the embodiments of the present disclosure may also be provided in a server or a server cluster different from the server 105 and capable of communicating with the terminal devices 101, 102, 103 and/or the server 105. Still alternatively, the information processing method for obtaining the guest provided by the embodiment of the present disclosure may be partially executed by the terminal devices 101, 102, and 103, and partially executed by the server 105. Accordingly, the information processing apparatus, system, and medium for acquiring a guest provided by the embodiments of the present disclosure may be partially provided in the terminal devices 101, 102, and 103 and partially provided in the server 105.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Fig. 2 schematically shows a conceptual illustration of an information processing method for acquiring a guest according to an embodiment of the present disclosure.
As shown in fig. 2, the concept 200 of various embodiments of the present disclosure may find nearby inventory businesses and newly registered businesses based on the user's geographic location (e.g., the geographic location where the terminal devices 101, 102, 103 used by the user are located, or the address custom-filled by the user). Then, whether the enterprise is an existing client or not is judged according to whether the searched enterprise is matched with the registered client name (or unified social credit code) of the stock, so that the searched enterprise can be distinguished and marked as an existing client or a client to be expanded. In this way, the enterprise around the location queried by the user can be classified into an existing client or a client to be developed, and is shown to the user through the terminal devices 101, 102, and 103.
In this way, various embodiments of the present disclosure may provide users (e.g., business personnel) with more targeted information about businesses around a queried location so that users may take different marketing strategies for different types of customers, recommend different marketing products, and avoid repeated marketing. For example, for an existing customer, after researching the details of the enterprise, the enterprise may be recommended other products that may be needed by the customer, or the enterprise may be included in a monitoring list to monitor the dynamics of the enterprise, determine marketing risks (e.g., whether there is a risk of loan default) that may be brought by changes in the enterprise, and so on. For another example, for an enterprise to be expanded, after the details of the enterprise are studied, the possible product requirements of the enterprise can be pre-judged, the enterprise can be subjected to home marketing, or the enterprise can be brought into a monitoring list to monitor the dynamics of the enterprise, and the time for successful marketing can be judged.
Specific implementations of the method of the embodiments of the present disclosure are exemplarily described below with reference to fig. 3 to 9.
Fig. 3 schematically shows a flow chart of an information processing method 300 for obtaining a guest according to an embodiment of the present disclosure.
As shown in fig. 3, the method 300 according to this embodiment may include operations S310 to S330.
In operation S310, a user geographical location is acquired in response to a query operation of the user. The user geographical location may be a geographical location where the terminal device 101, 102, 103 is located when the user makes an inquiry through the terminal device 101, 102, 103, or may be a custom address input by the user in the terminal device 101, 102, 103 at the time of the inquiry.
In operation S320, information of businesses in a predetermined area around the geographic location of the user is presented to the user, resulting in a first business information set. The information for the business includes the name of the business and/or a social uniform credit code for the business.
The predetermined area range can be determined according to a reasonable area range which can be covered by business personnel in actual work or according to an acceptable area range of a business for a certain service. For example, the predetermined area range may be set to 5 km for a service such as bank account opening, deposit, loan, or financial recommendation. Of course, the predetermined area range may also be set by a user according to the query requirement of the user, which is not limited in this disclosure.
According to embodiments of the present disclosure, presenting the first set of business information to the user may be presented in a list and/or map mode. Wherein, the map mode presentation effect is as shown in fig. 4, and the list presentation effect may be as shown in fig. 5.
Fig. 4 schematically shows a user interface diagram for presenting business information in a map mode. Fig. 5 schematically shows a user interface diagram for presenting business information in list form.
As shown in fig. 4 or fig. 5, newly added businesses and stock businesses registered 5 km near the inquired geographic location of the user may be shown in a list and map mode to help the user find nearby businesses.
In one embodiment, the first enterprise information set presented to the user may be enterprise information of an enterprise, the registered address of which is located within a predetermined area range around the geographic location of the user, found by querying from a database storing information of all enterprises according to the geographic location of the user, and presented by the terminal devices 101, 102, and 103.
In another embodiment, a list of information of businesses in a predetermined area around a series of geographic locations may be obtained in advance, and then when the geographic location of the user queried in operation S310 matches one of the series of geographic locations, the first set of business information is obtained from the list and presented through the terminal device 101, 102, 103. Therefore, the data query speed is high when the user queries. Especially, when a large number of users query in a concentrated manner within a certain time period, higher data display efficiency can be ensured, and data delay or congestion is reduced.
In operation S330, each enterprise in the first enterprise information set is marked as an existing client enterprise or a client enterprise to be developed based on a matching condition of the information of each enterprise in the first enterprise information set and pre-stored existing client information. The existing client enterprises are the enterprises which are successfully matched with the pre-stored existing client information, and the to-be-expanded client enterprises are the enterprises which are failed to be matched with the existing client information.
As shown in fig. 5, when displaying the peripheral enterprise information to the user, the marking information of the enterprise may be displayed together, for example, in the form of a label to mark whether the enterprise is an existing client enterprise. For example, the business company B and the property company C are marked as existing customers (identified by labels in the figure), while the business company a is not an existing customer (i.e., a customer to be developed), and no information is marked in the example of fig. 5, so that the customer to be developed is defaulted. In this way, users (e.g., business personnel) may be assisted in adopting different marketing strategies for a business, B business, and C property. For example, when the user is a business person of a bank, the opening of the user can be recommended for the business limited company a, and other service products and the like besides the service which the business limited company B or the property limited company C currently has can be recommended to the user, so that repeated marketing can be avoided, and the service efficiency can be improved. It should be noted that the distinction between the existing customer enterprises and the customer enterprises to be expanded by labeling and non-labeling in fig. 5 is only exemplary and not limiting, and the label content can be set or displayed in any way as required in actual use.
According to the embodiment of the disclosure, users (e.g., business personnel) can fully know surrounding enterprises, know the occupation ratio of existing client enterprises and client enterprises to be expanded in the enterprises, and combine a map positioning mode to enable the client searching and obtaining to be more targeted and improve the marketing and client obtaining efficiency.
Fig. 6 schematically shows a flow chart of an information processing method 600 for obtaining a guest according to another embodiment of the present disclosure.
As shown in fig. 6, the method 600 according to this embodiment may include operations S310 to S330, and operation S640.
First, through operations S310 to S330, when a user queries, enterprise information in a predetermined area range around a geographic location of the user is displayed to the user, and an existing client enterprise and a client enterprise to be expanded can be distinguished through a mark, which is specifically referred to the foregoing related description, and details are not repeated here.
Then, in operation S640, the existing customer asset proportion corresponding to the user geographical location is presented to the user. The information for the business also includes registered capital for the business. The existing customer assets are a ratio of the sum of the registered capital of the existing customer businesses within a predetermined area surrounding the corresponding geographic location to the sum of the registered capital of all businesses within the predetermined area surrounding the geographic location. For example, the top right corner of the user interface as shown in FIG. 5 shows that the percentage of existing customer assets of the company near the geographic location of the currently queried user is 88.41%.
The existing customer asset occupation ratio can reflect the market scale occupied by the mechanism of the user in one area, can help the user to evaluate the market occupation condition of the current area and the market space to be exploited, and helps the user to adopt a more appropriate marketing strategy in the process of obtaining customers.
Fig. 7 schematically shows a flow chart of an information processing method 700 for obtaining a guest according to another embodiment of the present disclosure.
As shown in fig. 7, the method 700 according to this embodiment may include operation S711, operation S310, operation S712 to operation S713, operation S320 to operation S330, and operation S640.
First, in operation S711, a regional client information list is obtained through a batch operation. The regional customer information list is used for representing information of enterprises in a preset regional range around each geographic position in the M geographic positions, existing customer enterprises and customer enterprises to be expanded in the enterprise information, and existing customer asset ratio corresponding to each geographic position. Wherein M is an integer greater than 1.
For example, the geographic positions may be set in advance in batches, information such as enterprises and registered capital of five kilometers in each geographic position is searched, and the existing customer asset occupation ratio corresponding to each geographic position is calculated through batch processing operation. Specifically, for example, longitude and latitude information of an enterprise can be acquired according to a registration address of the enterprise, information of M geographic positions can be acquired at the same time, data is loaded into an elastic search, the enterprise in a predetermined area range around each geographic position is calculated, an existing client enterprise and a client enterprise to be expanded can be distinguished through matching with existing client information, and further, an existing client asset proportion and the like around each position can be calculated.
Then, in operation S310, in response to the query operation of the user, the user geographical location is acquired.
Next, in operation S712, after the user geographical location is acquired, the user geographical location is matched with the M geographical locations. For example, when the user geographic location is closest to one of the M geographic locations and the distance is less than or equal to a predetermined value (e.g., 100M), it is determined that the user geographic location matches the location successfully. Conversely, if the distances of the positions closest to the user geographical position among the M geographical positions are all greater than the predetermined value, it is determined that the matching fails.
Then, in operation S713, in a case that the geographic location of the user is successfully matched with one of the M geographic locations, the first enterprise information set, the existing client enterprises and the to-be-extended client enterprises therein, and the existing client asset occupation ratio corresponding to the geographic location of the user are obtained from the regional client information list.
Next, in operation S320, information of businesses in a predetermined area around the geographic location of the user is presented to the user, so as to obtain a first business information set. The information of the enterprise comprises the name of the enterprise and/or a social uniform credit code of the enterprise.
Then, in operation S330, each enterprise in the first enterprise information set is marked as an existing client enterprise or a client enterprise to be developed based on a matching condition of the information of each enterprise in the first enterprise information set and pre-stored existing client information. The existing client enterprises are the enterprises which are successfully matched with the pre-stored existing client information, and the to-be-expanded client enterprises are the enterprises which are failed to be matched with the existing client information.
And in operation S640, presenting the existing customer asset proportion corresponding to the user geographical location to the user. The existing customer assets are a ratio of the sum of the registered capital of the existing customer businesses within a predetermined area surrounding a geographic location to the sum of the registered capital of all businesses within the predetermined area surrounding the geographic location.
According to the embodiment of the disclosure, after the batch processing operation of operation S711 is performed, when a user needs to perform an inquiry, the addresses in the batch may be matched according to the geographic location of the user, and then enterprise information around the geographic location to be inquired, existing client enterprises or client enterprises to be expanded, and existing client enterprise asset occupation ratios in the area are quickly fed back to the user. The bank business can be batch-processed at night, so that the regional customer information list can be provided for independent query in the daytime, a large amount of query operations in the daytime are facilitated, and the query efficiency is improved.
Fig. 8 schematically illustrates a flowchart of a method of obtaining an area customer information list through a batch process operation in operation S711 according to an embodiment of the present disclosure.
As shown in fig. 8, the process of obtaining the area customer information list through the batch operation in operation S711 according to the embodiment may include operations S801 to S804.
First, in operation S801, for any geographic location to be processed in the M geographic locations, information of enterprises in a predetermined area range around the geographic location to be processed is searched, so as to obtain a second enterprise set.
Then, in operation S802, the information of the enterprises in the second enterprise set is matched with the existing customer information, and the existing customer enterprises and the to-be-expanded customer enterprises in the second enterprise set are determined. For example, the social uniform credit code or the name of the enterprise is matched with the existing customer information, and the corresponding label is marked according to the matching result.
Next, in operation S803, an existing customer asset proportion corresponding to the pending geographic location is obtained based on a ratio of the sum of the registered capital of the existing customer businesses in the second set of businesses to the sum of the registered capital of all the businesses in the second set of businesses.
Next, in operation S804, a record in the regional customer information list is formed based on the geographic location to be processed, the second enterprise set and existing customer enterprises or customer enterprises to be developed therein, and existing customer proportion corresponding to the geographic location to be processed. Operations S801 to S804 are performed for each of the geographical locations to be processed, so that M records may be formed, respectively. In this way, when the user queries, the geographic position of the user obtained in operation S310 may be matched with the geographic positions in the M records, and after the matching is successful, data is directly obtained from the records in the regional client information list and displayed to the user.
Fig. 9 schematically shows a flow chart of an information processing method 900 for obtaining a guest according to yet another embodiment of the present disclosure.
As shown in fig. 9, the method 900 according to this embodiment may include operations S310 to S330, and operations S940 to S970.
First, through operations S310 to S330, existing client enterprises and client enterprises to be expanded within a predetermined area range around the geographic location of the user are shown to the user when the user queries, and specific reference is made to the foregoing related description, which is not repeated herein.
Then, in operation S940, the business registration detail information of the businesses in the first business information set is obtained, where the business registration detail information includes at least one of the following: enterprise basic information, high management information, beneficial owners, enterprise risk information, administrative penalty information, enterprise affiliations, enterprise genealogies, or void-shell identification information.
Next, in operation S950, based on a detail viewing operation of the user on any enterprise in the first enterprise information set, the enterprise registration detail information of the enterprise whose details are to be viewed is presented to the user. By inquiring the industrial and commercial registration detail information of the enterprise, the user can be helped to fully know the overall appearance of the enterprise.
Then, in operation S960, the enterprise with the important attention selected by the user from the first enterprise information set is used as the risk monitoring enterprise.
And monitoring the change condition of the business registration detail information of the risk monitoring enterprise in operation S970 so as to inform a user when the change occurs. Therefore, enterprises which are selected by users and focused on can be brought into the risk monitoring list to monitor enterprise change information at any time.
Fig. 10 schematically shows a block diagram of an information processing apparatus 1000 for acquiring a guest according to an embodiment of the present disclosure.
As shown in fig. 10, the apparatus 1000 may include an acquisition module 1010, a presentation module 1020, and a tagging module 1030 according to some embodiments of the present disclosure. According to other embodiments of the disclosure, the apparatus 1000 may further include some or all of the batch module 1040, the single point query module 1050, the second obtaining module 1060, the detail viewing module 1070, or the risk monitoring module 1080.
The obtaining module 1010 may perform operation S310, for example, to obtain the geographic location of the user in response to the query operation of the user.
The presentation module 1020 may, for example, perform operation S320 for presenting information of businesses within a predetermined area around the user' S geographic location to the user, resulting in a first set of business information. The information for the business includes the name of the business and/or a social uniform credit code for the business.
The marking module 1030 may perform operation S330, for example, to mark each enterprise in the first enterprise information set as an existing client enterprise or a client enterprise to be developed based on a matching condition between information of each enterprise in the first enterprise information set and pre-stored existing client information; the existing client enterprises are the enterprises which are successfully matched with the pre-stored existing client information, and the to-be-expanded client enterprises are the enterprises which are failed to be matched with the existing client information.
The presentation module 1020 may also perform operation S640, for example, for presenting an existing customer asset proportion corresponding to the user geographic location, according to an embodiment of the present disclosure. Wherein the information for the business further includes registered capital for the business, the ratio of the existing customer assets to the sum of the registered capital for the existing customer businesses within a predetermined area surrounding the corresponding geographic location, and the sum of the registered capital for all businesses within the predetermined area surrounding the geographic location.
The batch module 1040 may, for example, perform operation S711 for obtaining the regional customer information list through a batch operation before obtaining the geographic location of the user; the regional customer information list is used for representing information of enterprises in a preset regional range around each geographic position, existing customer enterprises and customer enterprises to be expanded in the information, and the existing customer asset ratio corresponding to each geographic position in the M geographic positions; wherein M is an integer greater than 1.
More specifically, the batch module 1040 may, for example, perform operations S801 to S804 for: searching information of enterprises in a preset area range around the geographic position to be processed aiming at any geographic position to be processed in the M geographic positions to obtain a second enterprise set; matching the information of the enterprises in the second enterprise set with the existing customer information to determine existing customer enterprises and customer enterprises to be expanded in the second enterprise set; obtaining the existing customer asset proportion corresponding to the geographic position to be processed based on the ratio of the registered capital sum of the existing customer enterprises in the second enterprise set to the registered capital sum of all the enterprises in the second enterprise set; and forming a record in the regional customer information list based on the geographic position to be processed, the existing customer enterprises and the client enterprises to be expanded in the second enterprise set and the existing customer proportion corresponding to the geographic position to be processed.
The single-point query module 1050 may perform operations S712 to S713, for example, to match the geographic position of the user with M geographic positions after obtaining the geographic position of the user, and obtain the first enterprise information set, the existing client enterprises and the to-be-extended client enterprises therein, and the existing client asset proportion corresponding to the geographic position of the user from the regional client information list when the geographic position of the user is successfully matched with one of the M geographic positions.
The second obtaining module 1060 may perform operation S940, for example, to obtain the business registration detail information of the enterprises in the first enterprise information set, where the business registration detail information includes at least one of the following: enterprise basic information, high management information, beneficial owners, enterprise risk information, administrative penalty information, enterprise affiliations, enterprise genealogies, or void-shell identification information.
The detail view module 1070 may, for example, perform operation S950 for presenting the user with the business registered detail information of the enterprise whose details are to be viewed based on the user' S detail view operation on any enterprise in the first set of enterprise information.
The risk monitoring module 1080 may perform operations S960 to S970, for example, to use the enterprise selected by the user from the first enterprise information set as the enterprise of interest; and monitoring the change condition of the business registration detail information of the risk monitoring enterprise so as to inform a user when the change occurs.
Any number of modules, sub-modules, units, sub-units, or at least part of the functionality of any number thereof according to embodiments of the present disclosure may be implemented in one module. Any one or more of the modules, sub-modules, units, and sub-units according to the embodiments of the present disclosure may be implemented by being split into a plurality of modules. Any one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in any other reasonable manner of hardware or firmware by integrating or packaging a circuit, or in any one of or a suitable combination of software, hardware, and firmware implementations. Alternatively, one or more of the modules, sub-modules, units, sub-units according to embodiments of the disclosure may be at least partially implemented as a computer program module, which when executed may perform the corresponding functions.
For example, any of the acquisition module 1010, presentation module 1020, tagging module 1030, batching module 1040, single point query module 1050, second acquisition module 1060, detail viewing module 1070, or risk monitoring module 1080 may be combined into one module for implementation, or any of them may be split into multiple modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the obtaining module 1010, the presenting module 1020, the marking module 1030, the batching module 1040, the single point query module 1050, the second obtaining module 1060, the detail viewing module 1070, or the risk monitoring module 1080 may be implemented at least partially as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or in any one of three implementations of software, hardware, and firmware, or in any suitable combination of any of them. Alternatively, at least one of the acquisition module 1010, the presentation module 1020, the tagging module 1030, the batching module 1040, the single point query module 1050, the second acquisition module 1060, the detail viewing module 1070, or the risk monitoring module 1080 may be implemented at least in part as a computer program module that, when executed, may perform corresponding functions.
Fig. 11 schematically shows a block diagram of a computer system 1100 for acquiring guests, in accordance with an embodiment of the present disclosure. The computer system 1100 illustrated in FIG. 11 is only one example and should not impose any limitations on the scope of use or functionality of embodiments of the disclosure.
As shown in fig. 11, a computer system 1100 according to an embodiment of the present disclosure includes a processor 1101, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)1102 or a program loaded from a storage section 1108 into a Random Access Memory (RAM) 1103. The processor 1101 may comprise, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 1101 may also include on-board memory for caching purposes. The processor 1101 may comprise a single processing unit or a plurality of processing units for performing the different actions of the method flows according to the embodiments of the present disclosure.
In the RAM 1103, various programs and data necessary for the operation of the system 1100 are stored. The processor 1101, the ROM 1102, and the RAM 1103 are connected to each other by a bus 1104. The processor 1101 performs various operations of the method flow according to the embodiments of the present disclosure by executing programs in the ROM 1102 and/or the RAM 1103. It is noted that the programs may also be stored in one or more memories other than the ROM 1102 and RAM 1103. The processor 1101 may also perform various operations of the method flows according to the embodiments of the present disclosure by executing programs stored in the one or more memories.
According to embodiments of the present disclosure, method flows according to embodiments of the present disclosure may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication portion 1109 and/or installed from the removable medium 1111. The computer program, when executed by the processor 1101, performs the above-described functions defined in the system of the embodiment of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.
The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.
According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, a computer-readable storage medium may include the ROM 1102 and/or the RAM 1103 and/or one or more memories other than the ROM 1102 and the RAM 1103 described above.
Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the method provided by the embodiments of the present disclosure, when the computer program product is run on an electronic device, the program code being adapted to cause the electronic device to carry out the method provided by the embodiments of the present disclosure.
The computer program, when executed by the processor 1101, performs the above-described functions defined in the system/apparatus of the embodiments of the present disclosure. The systems, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.
In one embodiment, the computer program may be hosted on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted in the form of a signal on a network medium, distributed, downloaded and installed via the communication part 1109, and/or installed from the removable medium 1111. The computer program containing program code may be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
In accordance with embodiments of the present disclosure, program code for executing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, these computer programs may be implemented using high level procedural and/or object oriented programming languages, and/or assembly/machine languages. The programming language includes, but is not limited to, programming languages such as Java, C + +, python, the "C" language, or the like. The program code may execute entirely on the user computing device, partly on the user device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.
Claims (10)
1. An information processing method for obtaining a guest, comprising:
responding to the query operation of the user, and acquiring the geographic position of the user;
displaying information of enterprises in a preset area range around the geographical position of the user to obtain a first enterprise information set; the information of the enterprise comprises the name of the enterprise and/or a social uniform credit code of the enterprise; and
based on the matching condition of the information of each enterprise in the first enterprise information set and pre-stored existing customer information, marking each enterprise in the first enterprise information set as an existing customer enterprise or a customer enterprise to be expanded; the existing client enterprises are the enterprises which are successfully matched with the pre-stored existing client information, and the to-be-expanded client enterprises are the enterprises which are failed to be matched with the existing client information.
2. The method of claim 1, wherein the information for the business further comprises registered capital for the business, the method further comprising:
displaying the existing customer asset occupation ratio corresponding to the user geographic position to the user; wherein the existing customer assets are in a ratio of the sum of the registered capital of the existing customer enterprises within the predetermined area around the corresponding geographic location to the sum of the registered capital of all enterprises within the predetermined area around the geographic location.
3. The method of claim 2, wherein,
before the obtaining the user geographical position, the method further comprises:
obtaining an area customer information list through batch processing operation; the regional customer information list is used for representing information of enterprises in the preset region range around each geographic position, existing customer enterprises and to-be-expanded customer enterprises in the information, and existing customer asset proportion corresponding to each geographic position in M geographic positions; wherein,
m is an integer greater than 1;
after the obtaining the user geographic location, the method further comprises:
matching the user geographic location with the M geographic locations; and
and under the condition that the geographic position of the user is successfully matched with one of the M geographic positions, acquiring the first enterprise information set, existing client enterprises and client enterprises to be expanded in the first enterprise information set from the regional client information list, and the proportion of the existing client assets corresponding to the geographic position of the user.
4. The method of claim 3, wherein obtaining the regional customer information list via a batch operation comprises:
for any one of the M geographical locations to be processed,
searching information of enterprises in the preset area range around the geographic position to be processed to obtain a second enterprise set;
matching the information of the enterprises in the second enterprise set with the existing customer information to determine existing customer enterprises and customer enterprises to be expanded in the second enterprise set;
obtaining the existing customer asset proportion corresponding to the geographic position to be processed based on the ratio of the registered capital sum of the existing customer enterprises in the second enterprise set to the registered capital sum of all enterprises in the second enterprise set; and
and forming a record in the regional customer information list based on the geographic position to be processed, the existing customer enterprises and the client enterprises to be developed in the second enterprise set and the existing customer proportion corresponding to the geographic position to be processed.
5. The method according to any one of claims 1 to 4, wherein the presenting information of businesses within a predetermined area around the user's geographic location further comprises:
information of businesses in the first set of business information is presented in a list and/or map mode.
6. The method of any of claims 1-4, wherein the method further comprises:
acquiring the industrial and commercial registration detail information of the enterprises in the first enterprise information set, wherein the industrial and commercial registration detail information comprises at least one of the following information: enterprise basic information, high management information, beneficial owners, enterprise risk information, administrative penalty information, enterprise association relations, enterprise genealogies or bare shell identification information; and
and displaying the business registration detail information of the enterprise of which the detail is to be checked to the user based on the detail checking operation of the user on any enterprise in the first enterprise information set.
7. The method of claim 6, wherein the method further comprises:
taking the enterprises with important attention selected by the user from the first enterprise information set as risk monitoring enterprises; and
and monitoring the change condition of the business registration detail information of the risk monitoring enterprise so as to inform the user when the change occurs.
8. An information processing apparatus for obtaining a guest, comprising:
the acquisition module is used for responding to the query operation of the user and acquiring the geographic position of the user;
the display module is used for displaying information of enterprises in a preset area range around the geographical position of the user to obtain a first enterprise information set; the information of the enterprise comprises the name of the enterprise and/or a social uniform credit code of the enterprise; and
the marking module is used for marking each enterprise in the first enterprise information set as an existing client enterprise or a client enterprise to be expanded on the basis of the matching condition of the information of each enterprise in the first enterprise information set and pre-stored existing client information; the existing client enterprises are the enterprises which are successfully matched with the pre-stored existing client information, and the to-be-expanded client enterprises are the enterprises which are failed to be matched with the existing client information.
9. An information processing system for obtaining a guest, comprising:
one or more memories storing executable instructions; and
one or more processors executing the executable instructions to implement the method of any one of claims 1-7.
10. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method of any one of claims 1 to 7.
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