CN115187015A - Business personnel allocation method and device, computer equipment and storage medium - Google Patents
Business personnel allocation method and device, computer equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the application discloses a business personnel allocation method, a business personnel allocation device, computer equipment and a storage medium, wherein the method comprises the following steps: the method comprises the steps of obtaining historical service handling information, historical service browsing information and friend-and-friend service handling information of a bank user, determining a user grade according to the historical service handling information of a target bank user, analyzing a preference service type according to the historical service handling information and the historical service browsing information, generating a service recommendation list based on the preference service type and the friend-and-friend service handling information, receiving a reservation gate-on activation request, obtaining a user grade and a service recommendation list of a bank-marked user, and distributing service personnel based on the user grade and the bank recommendation service and the recommendation weight in the service recommendation list. By the method, the business personnel are distributed according to the relevant information of the user who proposes the reservation application, so that the human resources are effectively utilized.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a method and an apparatus for allocating service staff, a computer device, and a storage medium.
Background
With the popularization of credit cards, the improvement of wireless payment technology and the improvement of convenience of credit card use, more and more people choose to handle and use credit cards, users apply for handling credit cards in banks first, and the credit cards can be used only after applying for handling.
The traditional activation mode is that a user carries a card to a corresponding bank outlet for activation, a new activation mode appears at present, that is, the user performs entrance activation, the entrance activation refers to that the user performs reservation application on a platform, after the application is passed, service personnel performs entrance activation on the credit card of the user according to reservation information, and the entrance activation mode of the credit card improves the convenience of the user.
However, the existing home-entry activation method is simple, and usually, after a user makes a reservation application on a reservation platform and the home-entry activation is passed, a bank outlet inquires idle service personnel and randomly allocates the reservation application from the idle service personnel, and the allocation formula cannot effectively utilize human resources.
Disclosure of Invention
The embodiment of the application provides a method and a device for allocating service personnel, computer equipment and a storage medium, wherein the service personnel are allocated according to relevant information of a user who proposes a reservation application, and the effective utilization of human resources is realized.
In a first aspect, an embodiment of the present application provides a method for allocating service staff, where the method includes:
acquiring historical service handling information, historical service browsing information and friend-and-friend service handling information of a bank user;
determining the user grade of the target bank user according to the banking business type in the historical business handling information of the target bank user and the business order amount under the banking business type in the historical business handling information;
analyzing the preference service type of the target bank user according to the historical service handling information and the historical service browsing information;
generating a service recommendation list of the target bank user based on the preference service type and the relatives and friends service handling information, wherein the service recommendation list comprises a plurality of bank recommendation services and recommendation weights of the bank recommendation services;
receiving a reservation door-to-door activation request input by the target bank user through a bank reservation platform aiming at a target credit card, and acquiring the user grade and a service recommendation list of the bank bidding user;
and distributing service personnel for the reserved home activation request based on the user grade, and the bank recommended service and the recommended weight in the service recommendation list.
In some embodiments, the acquiring historical service transaction information, historical service browsing information and friend-and-friend service transaction information of the bank user includes:
acquiring a terminal number bound on a bank reservation platform by a bank user in advance;
calling a call record of the terminal number in a preset time period, wherein the call record comprises a caller and call times;
and calculating each caller and the corresponding call times of the caller, determining the frequently contacted relatives and friends of the bank user based on the calculation result, and acquiring the information of the frequently contacted relatives and friends transaction.
In some embodiments, the acquiring historical service transaction information, historical service browsing information and friend-and-friend service transaction information of the bank user includes:
acquiring a terminal number which is bound on a bank reservation platform by a bank user in advance;
acquiring a webpage browsing record of the terminal number in a preset time period, and extracting a browsing record related to banking business from the webpage browsing record in a keyword identification mode;
and acquiring historical business browsing information of the bank user based on the analysis of the browsing record.
In some embodiments, the determining the user level of the target banking user according to the banking business type in the historical business handling information of the target banking user and the amount of the business order under the banking business type in the historical business handling information includes:
analyzing each banking business type included in the historical business handling information and the amount of the business order under the banking business type;
selecting a financing service type from the banking service types, acquiring financing services under the financing service types, and calculating the financing amount of each financing service in the financing service types;
selecting a deposit business type from the banking business types, and counting deposit amount of the deposit business type;
determining a user risk level of the target bank user based on the ratio of the financing service to the financing amount;
and determining the user level of the target bank user based on the savings amount and the user risk level.
In some embodiments, the generating a service recommendation list of the target banking user based on the preferred service type and the friend-in-person service handling information, where the service recommendation list includes a plurality of banking recommendation services and a recommendation weight of each banking recommendation service, includes:
acquiring a first banking business corresponding to the preference business type and acquiring a second banking business included in the family and friend business handling information;
calculating the repetition times of each second banking business;
acquiring the second banking business with the repetition times larger than the preset times as a recommendable business;
and generating a service recommendation list based on the first banking service and the recommendable service.
In some embodiments, the generating a service recommendation list of the target banking user based on the preferred service type and the friend-in-person service handling information, where the service recommendation list includes a plurality of banking recommendation services and a recommendation weight of each banking recommendation service, includes:
acquiring a first banking business corresponding to the preference business type and acquiring a second banking business included in the family and friend business handling information;
determining the number of times of repetition of each first banking business in the second banking business;
and generating a service recommendation list by taking the first banking service as a banking recommendation service, and setting recommendation weights of the banking recommendation services in the service recommendation list based on the repetition times.
In some embodiments, said allocating service personnel for said entrance-to-appointment activation request based on said user rating and said bank recommended services and recommended weights in said service recommendation list comprises:
confirming a target bank recommended service which is recommended in a key way according to the bank recommended service and the recommended weight, and selecting candidate service personnel matched with the target bank recommended service from the bank service personnel;
and determining the service personnel for processing the reserved door-to-door activation request from the candidate service personnel according to the user grade.
In a second aspect, an embodiment of the present application provides a service staff allocation apparatus, where the apparatus includes:
the system comprises an acquisition unit, a display unit and a display unit, wherein the acquisition unit is used for acquiring historical service handling information, historical service browsing information and friend-friend service handling information of a bank user;
the determining unit is used for determining the user grade of the target bank user according to the banking business type in the historical business handling information of the target bank user and the business order amount under the banking business type in the historical business handling information;
the analysis unit is used for analyzing the preference service type of the target bank user according to the historical service handling information and the historical service browsing information;
the list generating unit is used for generating a service recommendation list of the target bank user based on the preference service type and the friend-friend service handling information, wherein the service recommendation list comprises a plurality of bank recommendation services and recommendation weights of the bank recommendation services;
the request receiving unit is used for receiving a reservation entrance activation request input by the target bank user through a bank reservation platform aiming at a target credit card, and acquiring the user grade and the service recommendation list of the bank marking user;
and the personnel allocation unit is used for allocating service personnel to the reservation door-to-door activation request based on the user grade, and the bank recommended service and the recommended weight in the service recommendation list.
In a third aspect, an embodiment of the present application further provides a computer device, which includes a memory and a processor, where the memory is used to store instructions and data, and the processor is used to execute the above-mentioned service staff allocation method.
In a fourth aspect, an embodiment of the present application further provides a storage medium, where multiple instructions are stored in the storage medium, and the instructions are adapted to be loaded by a processor to execute the foregoing service staff allocation method.
The business personnel allocation method in the embodiment of the application can allocate the business personnel processing the home-going activation request of the reserved credit card according to the related information of the bank user who provides the home-going activation request of the reserved credit card, thereby realizing the effective utilization of human resources.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a service staff allocation method according to an embodiment of the present application.
Fig. 2 is another flowchart of a service staff allocation method according to an embodiment of the present application.
Fig. 3 is another flowchart of a service staff allocation method according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of a service staff allocation apparatus according to an embodiment of the present application.
Fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Embodiments of the present application provide a method and an apparatus for allocating service staff, a computer device, and a storage medium, which can allocate service staff according to relevant information of a user who makes a reservation application, so as to implement effective utilization of human resources.
Referring to fig. 1, fig. 1 is a flowchart of a service staff allocation method according to an embodiment of the present application, where the method includes the following steps:
101. historical business handling information, historical business browsing information and friend-friend business handling information of a bank user are obtained.
Generally, a bank user knows the card content of each bank credit card on a credit card application platform, selects a credit card to be transacted from the card content, inputs a transaction application on the credit card application platform according to the selected credit card, and then carries out a verification stage which needs to be passed by transacting the application according to the credit card, and after the verification is passed, the bank end carries out verification, and the verification mode is not limited to manual verification and automatic verification of a system. After the verification is passed, it shows that the bank user successfully transacts the application credit card, then the bank will post the credit card through the user address filled in the verification stage or application transaction, after the bank user receives the credit card, the bank activates the credit card, and after the activation is successful, the bank user can use the credit card.
Before activation, after the bank user receives the credit card, the bank user can make a request for activating the reserved credit card on the gate on a reservation platform set by the bank, namely, a reservation service person activates the credit card on the gate. The reservation platform is application software downloaded on the client, or an applet concerned and registered on the client.
Alternatively, the credit card application platform and the reservation platform in the embodiment of the present application may be the same platform.
It can be understood that, in the stage of applying for or verifying by the bank user, the personal related information is already input on the platform, and the platform and the personal intelligent terminal are bound in a terminal number manner, so that the platform can acquire the information of the intelligent terminal using the terminal number according to the terminal number.
Optionally, the terminal number, that is, the telephone number being used by the bank user, is a number that can receive information and can implement a call.
It can be understood that when the bank user fills the personal related information into the platform, the platform already stores the personal related information of the bank user, and after the bank user transacts the application, verifies and audits the information, the platform acquires the historical business browsing information and the parent-friend transacting business information of the bank user through the personal information of the bank user.
And when the bank user transacts the banking business, the banking user transacts based on the terminal number, so that the historical business transaction information of the bank user can be obtained through the terminal number of the bank user. The historical service transaction information is the banking service which is already processed by the bank user before the credit card door-to-door activation request is reserved.
In some embodiments, this step comprises: the method comprises the steps of obtaining a terminal number bound on a bank reservation platform by a bank user in advance, calling a call record of the terminal number in a preset time period, wherein the call record comprises a caller and call times, calculating the call times of each caller and the corresponding call times, determining frequent contact relatives and friends of the bank user based on the calculation result, and obtaining the friend service handling information of the frequent contact relatives and friends.
When a bank user transacts a credit card application stage, personal information is filled in a bank platform, wherein the personal information comprises a terminal number, the terminal number is a mobile phone number of an intelligent terminal used by the user, the intelligent terminal needs to realize a communication function through a mobile phone card, and each mobile phone card is correspondingly provided with one mobile phone number.
Calling a call record of a terminal number of a bank user, namely calling a record in an intelligent terminal using the terminal number, wherein the call record comprises a caller and call times, for example, telephone application software on the intelligent terminal is application software for recording information of the caller, the call times and the like, and when the bank user dials a call, the bank user enters the application software and dials the call in a number input mode or dials the call through contact information stored in the application software to realize communication.
It is understood that whether the contact is a relative friend is determined by the remark names of the contacts stored in the phone application software, and whether the contact is a relative friend is determined by the remark names of the contacts stored in the phone application software and the number of calls of each contact, which is called a caller. After the relatives and friends are determined, the information of the relatives and friends service handling can be obtained through the intelligent numbers of the relatives and friends. The information about the business transactions of relatives and friends can be understood as the banking business transactions of relatives and friends.
In order to narrow the range of calculating the number of times of calls, it can be set that call records within a preset time period are obtained, and the call records within the time period are analyzed and calculated to determine relatives and friends of the bank user, and also to avoid analysis errors.
In some embodiments, this step comprises: the method comprises the steps of obtaining a terminal number bound on a bank reservation platform by a bank user in advance, obtaining a webpage browsing record of the terminal number in a preset time period, extracting a browsing record related to banking business from the webpage browsing record in a keyword recognition mode, and obtaining historical business browsing information of the bank user based on analysis of the browsing record.
When a bank user transacts a credit card application stage, personal information is filled in a bank platform, wherein the personal information comprises a terminal number, and the terminal number is a mobile phone number of an intelligent terminal used by the user. The intelligent terminal needs to realize a communication function through a mobile phone card, and many existing application software can be normally used after a user binds personal information, wherein the bound personal information comprises a terminal number of a bank user, so that the application software can be in communication contact with the bank user through the terminal number, and the communication contact comprises short message contact, conversation contact and the like.
The method comprises the steps of obtaining application software downloaded and used by a bank user through a terminal number of the bank user, screening browser software with a webpage browsing function from the application software, obtaining webpage browsing records of the terminal number of the bank user in the browser software, obtaining webpage browsing records related to banking business from the webpage browsing records by analyzing the webpage browsing records, and identifying the obtained records to obtain the banking business searched by the bank user in the browser software.
The banking business searched by the banking user in the browser software, namely the historical business browsing information of the banking user.
Optionally, the banking service retrieved by the bank user in the browser software may be known by performing keyword recognition on the web browsing record, or may be known by using the link content of the web browsing record.
102. And determining the user grade of the target bank user according to the banking business type in the historical business handling information of the target bank user and the business order amount under the banking business type in the historical business handling information.
It can be understood that the target bank user is the bank user who inputs the request for the activation of the reserved credit card at the door, and all the historical service transaction information, the historical service browsing information and the friend-and-friend service transaction information of the bank user are acquired by the bank in advance.
The historical business handling information may include information of various businesses handled by the target bank user, where the historical business handling information includes a banking business handling type, the banking business handling type is the type of banking business handled by the target bank user, and the banking business type may include a financing business type, a deposit business type, a credit card business type, and the like.
Generally, the banking type relates to amount data, so that the assets of the target banking user can be estimated by the amount of the business order under the banking type, and the user grade of the target banking user is estimated according to the assets of the target banking user.
Alternatively, the user rating may be evaluated in conjunction with other information of the target bank user, for example, the user rating may be comprehensively evaluated in conjunction with assets, credit, and investment projects of the target bank user.
In some embodiments, this step comprises: analyzing each banking business type and the amount of a business order under the banking business type included in the historical business handling information, selecting a financing business type from the banking business types, acquiring financing business under the financing business type, calculating the ratio of financing amounts of each financing business in the financing business types, selecting a deposit business type from the banking business types, counting the deposit amount of the deposit business type, determining the user risk level of a target bank user based on the financing business and the ratio of the financing amounts, and determining the user level of the target bank user based on the deposit amount and the user risk level.
The bank business type comprises a financial business type, the financial business type can comprise fund financial, stock financial, bank planned investment financial and the like, and the financial business type of the target bank user and the financial amount of each financial business type can be obtained through the personal information or the binding information of the target bank user in the bank.
For example, information such as fund types, stock types, fund amount investment modes, stock amount investment modes, investment amounts of each fund and investment amounts of each stock transacted by a target bank user can be obtained through personal information or binding information of the target bank user in a bank, and according to the information, classification can be carried out on financial management services under financial management service types transacted by the target bank user and the investment amount of each class can be calculated, so that the user risk level of the target bank user can be obtained, and the user risk level is the investment risk level of the target bank user.
The banking business type includes a savings business type, and the savings business type may include a periodic deposit, a current deposit, and the like. The deposit business type of the target bank user and the deposit amount of each deposit business type can be obtained through the personal information or the binding information of the target bank user in the bank, and the deposit amount is the deposit amount of the target bank user in the bank.
Further, after acquiring the amount of financing and the amount of savings of the target bank user, the assets of the target bank user may be evaluated, or after acquiring the amount of financing and the amount of savings of the target bank user, the assets of the target bank user may be evaluated in combination with the acquired investment projects and other personal assets of the target bank user.
103. And analyzing the preference service type of the target bank user according to the historical service handling information and the historical service browsing information.
Through the acquired historical service handling information and historical service browsing information of the target bank user, the service types which are relatively interested by the target bank user, namely the preference service types of the target bank user, can be obtained through classification and analysis, and the preference service types correspond to a plurality of banking services.
104. And generating a service recommendation list of the target bank user based on the preference service type and the friend-in-person service handling information, wherein the service recommendation list comprises a plurality of bank recommendation services and recommendation weights of the bank recommendation services.
In the embodiment of the application, after the preferred service type of the target bank user is obtained, all banking services corresponding to the preferred service type in the bank are obtained through the preferred service type, and the obtained banking services corresponding to the preferred service type are set as the preferred banking services.
And screening the preferred banking business for the first time to screen out the preferred banking business already handled by the target banking user, screening the remaining preferred banking business for the second time according to the combination of the asset data corresponding to the user grade of the user and other data, and screening the remaining preferred banking business for the second time to serve as the bank-ready recommendation business.
Based on the bank preparation recommended service and the banking services transacted by relatives and friends in the information of the business transaction of relatives and friends, generating a business recommended list aiming at the target banking user according to a preset list generating mode, wherein the business recommended list comprises the banking recommended service adaptive to the target banking user, and each banking recommended service is correspondingly provided with a recommended weight.
The recommendation weight of each bank recommendation service is the recommendation importance degree of the bank recommendation service, and can be presented in a mode of setting a coefficient or a mode of setting a grade.
After the service recommendation list is generated and the service recommendation list comprises the bank recommendation services and the recommendation weight of each bank recommendation service, service personnel who are allocated to process the home activation request of the reserved credit card can clearly know the content of service recommendation and the key point of service recommendation so as to improve the effect of service recommendation.
Optionally, the service recommendation list may include information fields such as recommended service names, recommended service contents, recommended weights, and the like, where the recommended service name is a name of a bank recommended service, the recommended service contents correspond to the recommended service name, each recommended service content corresponds to one recommended service name, a service introduction of the bank recommended service corresponding to the recommended service name is recorded in the recommended service content, the recommended weights correspond to the recommended service names, each recommended weight corresponds to one recommended service name, and the recommended weight content records a recommendation importance degree of the corresponding recommended service name.
105. And receiving a reservation entrance activation request input by the target bank user through a bank reservation platform aiming at the target credit card, and acquiring the user grade and the service recommendation list of the bank marking user.
With the development of electronic technology and the improvement of living standard of people, an intelligent terminal such as a smart phone is used by more and more people, and a bank usually sets an application program or an applet associated with a bank system to improve the convenience of bank users, and a port for connecting the bank system can be realized through the application program or the applet.
The bank user can realize the related operation and handling of the banking business by downloading and registering the application program set by the bank, or the bank user can realize the related operation and handling of the banking business by paying attention to and registering the applet set by the bank.
The reservation platform can be considered as application software downloaded and registered on the client by the bank user, or can be considered as an applet which the target bank user pays attention to and registers on the client. When the bank user registers, the bank user inputs personal related information on the reservation platform.
The bank user can initiate application transaction and verify the credit card on the reservation platform, after the verification is finished, the reservation platform can send the related information of the application transaction and the verification to the verification end for verification, and the verification result can also be sent to the reservation platform of the bank user.
After the verification is passed, the bank user can initiate a request for reserving the credit card to be activated at the reservation platform, namely, a bank distribution service personnel is reserved to activate the credit card at the reservation platform according to the reservation time and the reservation address. And after receiving the request for reserving the credit card to activate the gate, the reservation platform calls the user grade and the service recommendation list of the bank user from the system.
That is, the user rating and the service recommendation list of the bank user are obtained by the system preprocessing, and can be directly called for use after receiving the request.
106. And distributing service personnel for the appointment door-to-door activation request based on the user grade, and the bank recommended service and the recommended weight in the service recommendation list.
For example, after receiving a request for activating a reserved credit card at home input by a bank user, acquiring a reserved time and a reserved address corresponding to the request, determining service personnel capable of realizing home activation according to the reserved address, and selecting the service personnel in an idle state at the reserved time from the service personnel according to the reserved time. The method comprises the steps of obtaining a user grade and a service recommendation list of a bank user initiating a request, selecting a range of service personnel matched with the user grade from the user grade, and finally determining the service personnel finally processing the request based on the service type with higher recommendation weight in the service recommendation list.
For example, after receiving a request for activating a reserved credit card of a bank user, the method acquires a reserved time and a reserved address corresponding to the request, determines service personnel capable of realizing the activation of the credit card according to the reserved address, and selects the service personnel in an idle state at the reserved time from the service personnel according to the reserved time. The method comprises the steps of obtaining a user grade and a service recommendation list of a bank user initiating a request, confirming whether service personnel matched with the user grade exist in the service personnel in the idle state or not according to the user grade, if so, determining service personnel processing the request from the service personnel in the idle state by combining the service recommendation list, if not, determining the level of the user grade, if the user grade is in a lower grade, randomly distributing service personnel from the service personnel in the idle state, and if the user grade is in a higher grade, distributing adaptive personnel from management layer personnel by combining the service recommendation list to process the request.
Optionally, after the service staff in the idle state at the appointment time are selected from the service staff according to the appointment time, the bank level and the service recommendation list of the bank user who initiates the request are obtained, the service staff familiar with the bank recommendation service with higher recommendation weight is selected from the service staff in the idle state according to the recommendation weight in the service recommendation list, and then the service staff for processing the request is determined from the selected service staff according to the user level.
And determining service personnel for processing the door-to-door activation request of the reserved credit card, and performing service recommendation to a target bank user initiating the request according to the user grade and the service recommendation list after the door-to-door processing of the door-to-door activation request of the reserved credit card is processed.
In some embodiments, this step comprises: confirming the target bank recommended service which is mainly recommended according to the bank recommended service and the recommended weight, selecting candidate service personnel which are adaptive to the target bank recommended service from the bank service personnel, and determining service personnel for processing the appointment home-entry activation request from the candidate service personnel according to the user level.
The bank recommendation services needing to be recommended in the service recommendation list are determined through the marks of the recommendation weights or the coefficients of the recommendation weights, the bank recommendation services are target bank recommendation services, and service personnel familiar with the target bank recommendation services are selected from the bank service personnel to serve as candidate service personnel.
And after selecting candidate service personnel according to the service recommendation list, determining the service personnel for processing the request according to the level of the user. For example, if the user rank is higher, the business experience of the business person who is required to process the gate activation request of the reservation credit card is higher, and if the user rank is lower, the business experience of the business person who is required to process the gate activation request of the reservation credit card is not required.
The business personnel allocation method of the embodiment of the application comprises the steps of obtaining historical business handling information, historical business browsing information and friend-friend business handling information of a bank user; determining the user grade of the target bank user according to the banking business type in the historical business handling information of the target bank user and the business order amount under the banking business type in the historical business handling information; analyzing the preference service type of the target bank user according to the historical service handling information and the historical service browsing information; generating a service recommendation list of a target bank user based on the preference service type and the friend-friend service handling information, wherein the service recommendation list comprises a plurality of bank recommendation services and recommendation weights of the bank recommendation services; receiving a reservation door-to-door activation request input by a target bank user through a bank reservation platform aiming at a target credit card, and acquiring a user grade and a service recommendation list of a bank bidding user; and distributing service personnel for the reservation home-entry activation request based on the user grade, and the bank recommended service and the recommended weight in the service recommended list. By the method, business personnel are distributed according to the relevant information of the user who proposes the reservation application, so that the human resources are effectively utilized.
Referring to fig. 2, fig. 2 is another flowchart of a method for allocating service staff according to an embodiment of the present application, where the flowchart is the content of the step 104, and includes:
1041. and acquiring a first banking service corresponding to the preference service type and acquiring a second banking service included in the friend-in-person service handling information.
It can be understood that the preference service type includes a plurality of first banking services adapted to the preference type of the banking user, and the friend-in-person service transaction information includes a plurality of second banking services that have been already transacted by the friends and relatives of the target banking user.
1042. And calculating the repetition times of each second banking business.
Actually, the number of times of each second banking business appearing in the information about the business transaction of the relatives and friends, that is, the number of times of repetition, in the second banking businesses already handled by the relatives and friends is obtained through calculation, so that the relatively favorite banking businesses of the relatives and friends of the target banking user can be obtained.
1043. And acquiring the second banking business with the repetition times larger than the preset times as a recommendable business.
After the repetition times of each second banking service are obtained through calculation, comparing each repetition time with a preset time, determining the banking services which are liked by relatives and friends of the target banking user in the second banking services through the comparison result, taking the banking services as recommendable services, and recommending the recommendable services to the target banking user when service personnel perform home-entry processing on an activation request of an appointed credit card input by the target banking user, so that the success rate of service recommendation is improved.
The preset number of times may be set according to the number of the determined relatives and friends, for example, if the number of the determined relatives and friends is 10, the preset number of times is set to 5, and then, after the number of repetitions of each second banking service is calculated, the second banking service corresponding to the number of repetitions greater than 5 is selected from all the numbers of repetitions as the recommendable service.
1044. And generating a service recommendation list based on the first banking service and the recommendable service.
And taking all the first banking services and the recommendable services as the generation information of the service recommendation list, generating a service recommendation list to be determined, determining the same banking services in the service recommendation list to be determined, merging the same banking services, and sorting the service recommendation list to be determined after merging into the determined service recommendation list.
It is understood that the recommended banking services in the service recommendation list are all the first banking services and therefore the recommendable services.
Optionally, in the generated service recommendation list, the recommendable services may be marked in a manner of a symbolic mark, and the recommendable services are marked, so that banking services included in the preferred service types are distinguished from banking services that are preferred by relatives and friends.
This embodiment actually recommends banking services in the preferred service types of the target banking user, as well as banking services that are preferred by the relatives and friends of the target banking user, to the target banking user.
Referring to fig. 3, fig. 3 is another flowchart of a service staff allocation method according to an embodiment of the present application, where the flowchart is the content of step 104 above, and includes:
1041. and acquiring a first banking service corresponding to the preference service type and acquiring a second banking service included in the friend-in-person service handling information.
It can be understood that the preference service type includes a plurality of first banking services adapted to the preference type of the banking user, and the friend-in-person service transaction information includes a plurality of second banking services that have been handled by friends and relatives of the target banking user.
1042. And determining the repetition times of the first banking businesses in the second banking business.
Comparing each first banking business with all second banking businesses, determining the banking businesses which are the same as the second banking businesses in the first banking businesses, and calculating the occurrence times of the banking businesses with the same businesses, namely calculating the repetition times of the first banking businesses in the second banking businesses.
Actually, the comparison between the first banking business and the second banking business is used to determine the preferred banking business of the target banking user and the relatives and friends of the target banking user.
1043. And generating a service recommendation list by taking the first banking service as a banking recommendation service, and setting recommendation weights of the banking recommendation services in the service recommendation list based on the repetition times.
And taking all the first banking businesses as the generation information of the business recommendation list, generating the business recommendation list, and setting the recommendation weight according to the repetition times.
It can be understood that, the service recommendation list includes all the first banking services, but the recommendation weight of each first banking service is set according to the second banking service.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a service staff allocation apparatus according to an embodiment of the present application, where the service staff allocation apparatus 200 includes the following units:
the acquiring unit 201 is configured to acquire historical service transaction information, historical service browsing information, and friend-and-friend service transaction information of a bank user.
The determining unit 202 is configured to determine the user level of the target banking user according to the banking business type in the historical business handling information of the target banking user and the business order amount under the banking business type in the historical business handling information.
And the analyzing unit 203 is used for analyzing the preference service type of the target bank user according to the historical service handling information and the historical service browsing information.
The list generating unit 204 is configured to generate a service recommendation list of the target bank user based on the preference service type and the friend-friend service handling information, where the service recommendation list includes a plurality of bank recommendation services and recommendation weights of the bank recommendation services.
A request receiving unit 205, configured to receive a reservation entrance activation request input by a target bank user for a target credit card through a bank reservation platform, and obtain a user level and a service recommendation list of the target bank user.
And the personnel allocation unit 206 is used for allocating service personnel for the reservation home-entry activation request based on the user grade, and the bank recommended service and the recommended weight in the service recommendation list.
Optionally, in some embodiments, the list generating unit 204 may include the following sub-units:
and the first acquiring subunit is used for acquiring the first banking business corresponding to the preference business type and acquiring the second banking business included in the friend-friend business handling information.
And the calculating subunit is used for calculating the repetition times of each second banking business.
And the second acquiring subunit is used for acquiring the second banking business with the repetition times larger than the preset times as the recommendable business.
And the generating subunit is used for generating a service recommendation list based on the first banking service and the recommendable service.
Optionally, in some embodiments, the list generating unit 204 may further include the following sub-units:
and the acquiring subunit is used for acquiring the first banking business corresponding to the preference business type and acquiring the second banking business included in the friend-friend business handling information.
And the determining subunit is used for determining the number of times of repetition of each first banking business in the second banking business.
And the generating subunit is used for generating a service recommendation list by taking the first banking service as the banking recommendation service, and setting the recommendation weight of each banking recommendation service in the service recommendation list based on the repetition times.
Optionally, the service staff allocation apparatus 200 according to the embodiment of the present application further includes other units and sub-units, which are not described herein again.
The business personnel allocation device 200 of the embodiment of the application comprises an acquisition unit 201, a processing unit and a processing unit, wherein the acquisition unit 201 is used for acquiring historical business handling information, historical business browsing information and friend business handling information of a bank user; a determining unit 202, configured to determine a user level of a target bank user according to a banking type in the historical service handling information of the target bank user and a service order amount under the banking type in the historical service handling information; the analysis unit 203 is used for analyzing the preference service type of the target bank user according to the historical service handling information and the historical service browsing information; the list generating unit 204 is configured to generate a service recommendation list of a target bank user based on the preference service type and the friend-friend service handling information, where the service recommendation list includes a plurality of bank recommendation services and recommendation weights of the bank recommendation services; a request receiving unit 205, configured to receive a reservation entry activation request input by a target bank user for a target credit card through a bank reservation platform, and obtain a user class and a service recommendation list of a user in a banking bank; and the personnel allocation unit 206 is used for allocating service personnel for the reservation home-entry activation request based on the user grade, and the bank recommended service and the recommended weight in the service recommendation list. By the device, business personnel are distributed according to the relevant information of the user who makes the reservation application, so that the human resources are effectively utilized.
Referring to fig. 5, fig. 5 is a schematic structural diagram of a computer device 300 according to an embodiment of the present application, where the computer device 300 includes a processor 301 having one or more processing cores, a memory 302 having one or more computer-readable storage media, and a computer program stored in the memory 302 and capable of running on the processor 301. The processor 301 is electrically connected to the memory 302. Those skilled in the art will appreciate that the computer device configurations illustrated in the figures are not meant to be limiting of computer devices, and may include more or fewer components than those illustrated, or combinations of certain components, or different arrangements of components.
The processor 301 is a control center of the computer apparatus 300, connects various parts of the entire computer apparatus 300 by various interfaces and lines, performs various functions of the computer apparatus 300 and processes data by running or loading software programs and/or modules stored in the memory 302, and calling data stored in the memory 302, thereby integrally monitoring the computer apparatus 300.
In the embodiment of the present application, the processor 301 in the computer device 300 loads instructions corresponding to processes of one or more application programs into the memory 302, and the processor 301 executes the application programs stored in the memory 302 according to the following steps, so as to implement various functions:
historical business handling information, historical business browsing information and friend-friend business handling information of a bank user are obtained.
And determining the user grade of the target bank user according to the banking business type in the historical business handling information of the target bank user and the business order amount under the banking business type in the historical business handling information.
And analyzing the preference service type of the target bank user according to the historical service handling information and the historical service browsing information.
And generating a service recommendation list of the target bank user based on the preference service type and the friend-in-person service handling information, wherein the service recommendation list comprises a plurality of bank recommendation services and recommendation weights of the bank recommendation services.
And receiving a reservation entrance activation request input by a target bank user through a bank reservation platform aiming at a target credit card, and acquiring a user grade and a service recommendation list of the target bank user.
And distributing service personnel for the reservation home-entry activation request based on the user grade, and the bank recommended service and the recommended weight in the service recommended list.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
Optionally, the computer device 300 further includes a data transmission module 303 and a display module 304, the data transmission module 303 and the display module 304 are both electrically connected to the processor 301, the data transmission module 303 is used for transmitting data, and the display module 304 is used for displaying. Those skilled in the art will appreciate that the computer device configuration illustrated in FIG. 5 does not constitute a limitation of computer devices, and may include more or fewer components than those illustrated, or some components may be combined, or a different arrangement of components.
Although not shown in fig. 5, the computer device 300 may further include an audio acquisition module, a video acquisition module, a serial connection module, and other electronic structures, which are not described in detail herein.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
As can be seen from the above, the computer device 300 provided in this embodiment obtains the historical service transaction information, the historical service browsing information, and the friend-friend service transaction information of the bank user; determining the user grade of the target bank user according to the banking business type in the historical business handling information of the target bank user and the business order amount under the banking business type in the historical business handling information; analyzing the preference service type of the target bank user according to the historical service handling information and the historical service browsing information; generating a service recommendation list of a target bank user based on the preference service type and the friend-friend service handling information, wherein the service recommendation list comprises a plurality of bank recommendation services and recommendation weights of the bank recommendation services; receiving a reservation entrance activation request input by a target bank user through a bank reservation platform aiming at a target credit card, and acquiring a user grade and a service recommendation list of the target bank user; and distributing service personnel for the reservation home-entry activation request based on the user grade, and the bank recommended service and the recommended weight in the service recommended list.
It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions or by associated hardware controlled by the instructions, which may be stored in a computer readable storage medium and loaded and executed by a processor.
To this end, the present application provides a computer-readable storage medium, in which a plurality of computer programs are stored, where the computer programs can be loaded by a processor to execute the steps in any one of the emotion recognition methods provided in the present application. For example, the computer program may perform the steps of:
and acquiring historical service handling information, historical service browsing information and friend and relatives service handling information of the bank user.
And determining the user grade of the target bank user according to the banking business type in the historical business handling information of the target bank user and the business order amount under the banking business type in the historical business handling information.
And analyzing the preferred service type of the target bank user according to the historical service handling information and the historical service browsing information.
And generating a service recommendation list of the target bank user based on the preference service type and the friend-in-person service handling information, wherein the service recommendation list comprises a plurality of bank recommendation services and recommendation weights of the bank recommendation services.
And receiving a reservation entrance activation request input by a target bank user through a bank reservation platform aiming at a target credit card, and acquiring a user grade and a service recommendation list of the target bank user.
And distributing service personnel for the reservation home-entry activation request based on the user grade, and the bank recommended service and the recommended weight in the service recommended list.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
Wherein the storage medium may include: a read only Memory (ROM, re client account d only Memory), a random access Memory (R client account M, R client account random client account access Memory), a magnetic disk or an optical disk, and the like.
Since the computer program stored in the storage medium can execute the steps in any service person allocation method provided in the embodiment of the present application, beneficial effects that can be achieved by any service person allocation method provided in the embodiment of the present application can be achieved, and detailed descriptions are omitted herein for the foregoing embodiment.
The foregoing describes in detail a service staff allocation method, apparatus, computer device, and storage medium provided in the embodiments of the present application, and a specific example is applied in the present application to explain the principles and implementations of the present application, and the description of the foregoing embodiments is only used to help understand the method and core ideas of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A method for assigning service personnel, the method comprising:
acquiring historical service handling information, historical service browsing information and friend-friend service handling information of a bank user;
determining the user grade of the target bank user according to the banking business type in the historical business handling information of the target bank user and the business order amount under the banking business type in the historical business handling information;
analyzing the preference service type of the target bank user according to the historical service handling information and the historical service browsing information;
generating a service recommendation list of the target bank user based on the preference service type and the friend-in-person service handling information, wherein the service recommendation list comprises a plurality of bank recommendation services and recommendation weights of the bank recommendation services;
receiving a reservation door-to-door activation request input by the target bank user through a bank reservation platform aiming at a target credit card, and acquiring the user grade and a service recommendation list of the bank bidding user;
and distributing service personnel for the reserved home activation request based on the user grade, and the bank recommended service and the recommended weight in the service recommendation list.
2. The business person allocation method according to claim 1, wherein the acquiring of the historical business transaction information, the historical business browsing information, and the friend-friend business transaction information of the bank user comprises:
acquiring a terminal number bound on a bank reservation platform by a bank user in advance;
calling a call record of the terminal number in a preset time period, wherein the call record comprises a caller and call times;
and calculating each caller and the corresponding call times of the caller, determining the frequently contacted relatives and friends of the bank user based on the calculation result, and acquiring the information of the frequently contacted relatives and friends transaction.
3. The business person distribution method according to claim 1, wherein the acquiring historical business transaction information, historical business browsing information, and friend-and-friend business transaction information of the bank user comprises:
acquiring a terminal number which is bound on a bank reservation platform by a bank user in advance;
acquiring a webpage browsing record of the terminal number in a preset time period, and extracting a browsing record related to banking business from the webpage browsing record in a keyword identification mode;
and acquiring historical business browsing information of the bank user based on the analysis of the browsing record.
4. The business person allocation method according to claim 1, wherein said determining the user class of the target banking user according to the banking type in the historical business transaction information of the target banking user and the amount of the business order under the banking type in the historical business transaction information comprises:
analyzing each banking business type included in the historical business handling information and the amount of the business order under the banking business type;
selecting a financing service type from the banking service types, acquiring financing services under the financing service types, and calculating the financing amount of each financing service in the financing service types;
selecting a deposit business type from the banking business types, and counting deposit amount of the deposit business type;
determining a user risk level of the target bank user based on the ratio of the financing service to the financing amount;
and determining the user level of the target bank user based on the savings amount and the user risk level.
5. The business personnel allocation method according to claim 1, wherein the generating of the business recommendation list of the target bank user based on the preferred business type and the friend-in-person business transaction information, the business recommendation list including a plurality of bank recommended businesses and a recommendation weight of each of the bank recommended businesses, comprises:
acquiring a first banking business corresponding to the preference business type and acquiring a second banking business included in the friend-in-person business handling information;
calculating the repetition times of each second banking business;
acquiring the second banking business with the repetition times larger than the preset times as a recommendable business;
and generating a service recommendation list based on the first banking service and the recommendable service.
6. The business personnel allocation method according to claim 1, wherein the generating of the business recommendation list of the target bank user based on the preferred business type and the friend-in-person business transaction information, the business recommendation list including a plurality of bank recommended businesses and a recommendation weight of each of the bank recommended businesses, comprises:
acquiring a first banking business corresponding to the preference business type and acquiring a second banking business included in the family and friend business handling information;
determining the number of times of repetition of each first banking business in the second banking business;
and generating a service recommendation list by taking the first banking service as a banking recommendation service, and setting recommendation weights of the banking recommendation services in the service recommendation list based on the repetition times.
7. The method for assigning service personnel according to any one of claims 1-6, wherein said assigning service personnel for said appointment door-to-door activation request based on said user rating and bank recommended services and recommended weights in said service recommendation list comprises:
confirming a target bank recommended service which is recommended in a key way according to the bank recommended service and the recommended weight, and selecting candidate service personnel matched with the target bank recommended service from the bank service personnel;
and determining the service personnel for processing the reserved door-to-door activation request from the candidate service personnel according to the user grade.
8. A service personnel distribution apparatus, said apparatus comprising:
the system comprises an acquisition unit, a display unit and a display unit, wherein the acquisition unit is used for acquiring historical service handling information, historical service browsing information and friend-friend service handling information of a bank user;
the determining unit is used for determining the user grade of the target bank user according to the banking business type in the historical business handling information of the target bank user and the business order amount under the banking business type in the historical business handling information;
the analysis unit is used for analyzing the preference service type of the target bank user according to the historical service handling information and the historical service browsing information;
the list generating unit is used for generating a service recommendation list of the target bank user based on the preference service type and the friend-friend service handling information, wherein the service recommendation list comprises a plurality of bank recommendation services and recommendation weights of the bank recommendation services;
the request receiving unit is used for receiving a reservation entrance activation request input by the target bank user through a bank reservation platform aiming at a target credit card, and acquiring the user grade and the service recommendation list of the bank marking user;
and the personnel allocation unit is used for allocating service personnel to the reservation door-to-door activation request based on the user grade, and the bank recommended service and the recommended weight in the service recommendation list.
9. A computer device comprising a memory for storing instructions and data and a processor for performing the method of anyone of claims 1 to 7.
10. A storage medium having stored therein a plurality of instructions adapted to be loaded by a processor to perform the method of assigning service personnel according to any of claims 1-7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117539638A (en) * | 2024-01-04 | 2024-02-09 | 江西拓荒者科技有限公司 | Data processing method and system for industrial big data platform |
| CN117539638B (en) * | 2024-01-04 | 2024-03-22 | 江西拓荒者科技有限公司 | Data processing method and system for industrial big data platform |
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