CN115601056B - Service recommendation method, intelligent wearable device, server, system and medium - Google Patents
Service recommendation method, intelligent wearable device, server, system and medium Download PDFInfo
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Abstract
The invention discloses a service recommendation method, intelligent wearable equipment, a server, a system and a medium, wherein the method comprises the following steps: the intelligent wearable device monitors and acquires service demand information sent by the server, wherein the service demand information is obtained by analyzing the server according to behavior data of a target client who enters a bank outlet; generating a corresponding service recommendation task according to the service demand information, and outputting a task prompt; and responding to the task viewing operation, and displaying a task page of the service recommendation task, wherein the task page comprises a service recommendation scheme of the target client. The method has the advantages that the method carries out big data mining on the customers entering the bank outlets, and sends the service demand information obtained by mining to the intelligent wearable equipment, so that the bank workers can check the service recommendation schemes of the customers on the intelligent wearable equipment very conveniently and rapidly, the targeted service recommendation can be carried out on the customers, accurate service recommendation on different customers within short outlet residence time is realized, and the customer obtaining efficiency and the transaction rate are effectively improved.
Description
Technical Field
The invention relates to the technical field of financial science and technology, in particular to a service recommendation method, intelligent wearable equipment, a server, a system and a medium.
Background
Currently, in a traditional banking place, i.e. a banking outlet, a staff member such as a customer manager generally introduces hot-selling businesses or products to customers who go to a store for business transaction through a simple conversation, so as to find out the intended customers and facilitate transactions.
However, the hot-selling service recommendation in the standard form is not suitable for all customers, and because the residence time of the customers at the banking outlets is generally short, it is difficult for the staff to accurately find the service requirements of different customers and perform targeted service recommendation in limited communication time, which results in low customer obtaining efficiency and capacity of the banking outlets and reduced transaction rate.
Disclosure of Invention
In view of the above-mentioned deficiencies of the prior art, the present invention provides a business recommendation method, an intelligent wearable device, a server, a system and a medium applicable to financial technology or other related fields, and aims to improve the business recommendation efficiency and the transaction rate of an offline banking outlet.
The technical scheme of the invention is as follows:
a service recommendation method is applied to intelligent wearable equipment, the intelligent wearable equipment is in long connection with a server, and the method comprises the following steps:
monitoring and acquiring service demand information sent by the server, wherein the service demand information is obtained by analyzing the server according to behavior data of a target client which enters a bank outlet;
generating a corresponding service recommendation task according to the service demand information, and outputting a task prompt;
and responding to task viewing operation, and displaying a task page of the service recommendation task, wherein the task page comprises a service recommendation scheme of the target client.
In an embodiment, before monitoring and acquiring the service requirement information sent by the server, the method further includes:
responding to the network point selection operation, and confirming the currently selected target network point;
sending a website binding instruction to the server, wherein the website binding instruction is used for instructing the server to bind the target website with the intelligent wearable device.
In one embodiment, after the task page of the business recommendation task is displayed in response to the task viewing operation, the method further includes:
responding to task starting operation, and acquiring communication voice between a worker and a target client in real time;
converting the communication voice into corresponding communication words;
sending a real-time analysis instruction and the communication words to the server, wherein the real-time analysis instruction is used for instructing the server to carry out real-time demand analysis according to the communication words and outputting real-time demand information;
and receiving the real-time requirement information sent by the server, and switching and displaying the latest service recommendation scheme according to the real-time requirement information.
In one embodiment, after the task page of the business recommendation task is displayed in response to the task viewing operation, the method further includes:
responding to task ending operation, and receiving task feedback information input by a worker;
and sending a recommendation feedback instruction and the task feedback information to the server, wherein the recommendation feedback instruction is used for indicating the server to perform feedback correction on a preset analysis model according to the matching degree between the task feedback information and the service demand information.
In one embodiment, at least one of customer information, asset information, and preference information of the target customer is also included in the task page.
In one embodiment, the task reminder includes at least one of a vibration reminder, a voice reminder, a ring tone reminder, and a text reminder.
In one embodiment, the smart wearable device is a smart watch or a smart bracelet.
A service recommendation method is applied to a server, the server is in long connection with intelligent wearable equipment, and the method comprises the following steps:
acquiring behavior data of a target customer who enters a bank outlet;
performing service demand analysis on the target client according to the behavior data and a preset analysis model to generate service demand information;
and sending the service requirement information to the intelligent wearable device, so that the intelligent wearable device generates a corresponding service recommendation task according to the service requirement information and outputs a task prompt, wherein a task page of the service recommendation task comprises a service recommendation scheme of the target customer.
In one embodiment, before collecting the behavior data of the target customer who has entered the banking site, the method further comprises:
receiving number fetching information sent by number fetching equipment;
and confirming the target client which enters the bank outlet and finishes the number taking according to the number taking information.
In one embodiment, before the sending the service requirement information to the smart wearable device, the method further includes:
receiving a network point binding instruction sent by the intelligent wearable equipment, wherein the network point binding instruction carries a target network point;
and binding the target website with the intelligent wearable device.
In one embodiment, after the sending the service requirement information to the smart wearable device, the method further includes:
receiving communication words and a real-time analysis instruction sent by the intelligent wearable device, wherein the communication words are obtained by converting communication voice between a real-time acquired worker and a target client;
performing real-time demand analysis on the communication characters according to the real-time analysis instruction, and outputting real-time demand information;
and sending the real-time requirement information to the intelligent wearable equipment so that the intelligent wearable equipment switches and displays the latest service recommendation scheme according to the real-time requirement information.
In one embodiment, after the sending the service requirement information to the smart wearable device, the method further includes:
receiving task feedback information and a recommendation feedback instruction sent by the intelligent wearable device;
calculating the matching degree between the task feedback information and the service demand information according to the recommended feedback instruction;
and performing feedback correction on a preset analysis model according to the matching degree.
An intelligent wearable device, comprising:
the monitoring acquisition module is used for monitoring and acquiring service demand information sent by the server, wherein the service demand information is obtained by analyzing the server according to behavior data of a target client who enters a bank outlet;
the task generation reminding module is used for generating a corresponding service recommendation task according to the service demand information and outputting a task reminder;
and the task display module is used for responding to task viewing operation and displaying a task page of the service recommendation task, wherein the task page comprises a service recommendation scheme of the target client.
A service recommendation server comprising:
the acquisition module is used for acquiring behavior data of a target customer who enters a bank outlet;
the analysis module is used for carrying out service demand analysis on the target client according to the behavior data and a preset analysis model to generate service demand information;
and the sending module is used for sending the service requirement information to the intelligent wearable device so that the intelligent wearable device generates a corresponding service recommendation task according to the service requirement information and outputs a task prompt, wherein a task page of the service recommendation task comprises a service recommendation scheme of the target customer.
A service recommendation system comprises the intelligent wearable device and the service recommendation server.
A business recommendation system, the system comprising at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the service recommendation method described above.
A non-transitory computer-readable storage medium storing computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform the service recommendation method described above.
Has the beneficial effects that: compared with the prior art, the embodiment of the invention excavates big data of a client entering a bank outlet and sends the excavated service demand information to the intelligent wearable device, so that a bank worker can conveniently and quickly check the service recommendation scheme of the client in the intelligent wearable device, the client can be subjected to targeted service recommendation, accurate service recommendation of different clients within short outlet residence time is realized, and the customer acquisition efficiency and the transaction rate are effectively improved.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
fig. 1 is a flowchart of a service recommendation method according to an embodiment of the present invention;
fig. 2 is a schematic interface diagram of an intelligent wearable device in a service recommendation method according to an embodiment of the present invention;
fig. 3 is another flowchart of a service recommendation method according to an embodiment of the present invention;
fig. 4 is a schematic diagram of functional modules of an intelligent wearable device according to an embodiment of the present invention;
fig. 5 is a schematic functional module diagram of a service recommendation server according to an embodiment of the present invention;
fig. 6 is a schematic hardware structure diagram of a service recommendation system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and effects of the present invention clearer and clearer, the present invention is described in further detail below. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. Embodiments of the present invention will be described below with reference to the accompanying drawings.
At present, for a customer entering a banking outlet, a customer manager and other staff usually perform transient communication with a potential customer randomly or by means of personal work experience to recommend services or products to promote transactions, and the blind and subjective service recommendation method is difficult to perform efficient and accurate recommendation in transient communication, which often results in very low customer acquisition rate and low transaction rate.
The service recommendation method provided by the embodiment of the invention is applied to a system consisting of the intelligent wearable device and the server, and particularly the intelligent wearable device is in wireless connection with the server so as to realize efficient and stable data interaction. In the marketing service recommendation process of online off-site of staff such as a customer manager and the like, accurate recommendation guidance information can be conveniently and quickly obtained in the service recommendation process by wearing intelligent wearable equipment and combining the big data analysis capability of the server, and efficient and accurate personalized service recommendation is realized so as to improve customer obtaining efficiency and recommendation success rate.
Referring to fig. 1 in detail, fig. 1 is a flowchart of an embodiment of a service recommendation method provided by the present invention, and the method is applied to an intelligent wearable device, and the service recommendation method is introduced from the perspective of the intelligent wearable device.
As shown in fig. 1, the method specifically includes the following steps:
s101, monitoring and acquiring service demand information sent by the server, wherein the service demand information is obtained by analyzing the server according to behavior data of a target client entering a bank outlet.
In this embodiment, during the online service process of website of staff of bank, carry out data interaction with the server through wearing intelligent wearing equipment conveniently and flexibly to realize accurate business marketing and recommend, this intelligent wearing equipment can be intelligent wrist-watch or intelligent bracelet.
The intelligent wearable device is connected with the server in a long way, the long connection means that a plurality of data packets can be continuously sent on one connection, and during the connection and maintenance period, if no data packet is sent, a link detection packet needs to be sent by two sides, and the connection and maintenance period can be realized through websocket technology or other long connection modes, so that the intelligent wearable device can be communicated with background service after being opened, and service requirement information sent by the server can be monitored and obtained in real time.
The service demand information is obtained by the server through big data analysis and mining on behavior data of a target client entering a bank outlet, the target client can be manually set by a worker, or the server can automatically capture the behavior data through received identity information, for example, the client entering the bank outlet is subjected to face recognition, if the matching with the face of the client stored in a pre-stored face library is successful, the identity of the target client can be automatically confirmed, then the behavior data stored in the bank database by the target client is called, and big data mining is performed on service preference and requirements of the target client, so that accurate service recommendation is achieved. The specific service requirement information may include the to-do service that the target customer has subscribed to, a customer preference profile, a potential requirement service, and the like.
S102, generating a corresponding service recommendation task according to the service demand information, and outputting a task prompt.
The traditional bank outlets usually perform task processing through devices such as a tablet or a mobile phone, but task reminding information is usually easy to miss, so that the tasks are difficult to follow and complete related tasks in time, and the loss rate of customers is possibly improved.
For example, as shown in fig. 2 (a), after a service recommendation task is generated, a worker can be quickly notified of a new task in a vibration reminding touch manner, and meanwhile, an unfinished task is reminded to be currently available on an equipment interface through a superscript character, so that the worker can check and process the task in time, thereby ensuring that service follow-up of a target client is not missed and improving service follow-up efficiency.
S103, responding to task viewing operation, and displaying a task page of the service recommendation task, wherein the task page comprises a service recommendation scheme of the target client.
When the worker clicks a corresponding position on the device interface under the guidance of the task reminder, the task viewing operation can be input, for example, when the intelligent wearable device vibrates, the worker clicks the to-do task icon shown in (a) in fig. 2 to enter a task list, at the moment, as shown in (b) in fig. 2, the device interface displays all to-do and already-done service recommendation tasks, and the name, the to-do service and the like of the target customer can be simply displayed in the task list, so that the worker can be familiar with the store entry purpose of the target customer quickly; then, a certain service recommendation task in the task list is clicked, at this time, as shown in fig. 2 (c), the device interface displays a task page of the service recommendation task, the task page includes a service recommendation scheme of the target client, and intuitive and efficient service recommendation guidance is realized.
The specific service recommendation scheme can be obtained by sequencing the received service demand information according to the purchase possibility, and can include services such as deposit, insurance, financing, fund and mortgage, for example, a plurality of potential demand services are recommended in the received service demand information based on the matching degree between the client preference and the existing service, and then the potential demand services with the purchase possibility ranked in the top three are used as the service recommendation scheme to be displayed on a task page, so that a worker can intuitively know the service according with the target client preference in limited communication time, so that accurate and efficient service recommendation can be performed on the target client, and the customer acquisition efficiency and the transaction rate are improved.
In one embodiment, at least one of customer information, asset information, and preference information of the target customer is also included in the task page.
In this embodiment, after the service recommendation scheme of the target client is visually displayed, client information, asset information, preference information, and the like of the target client may be further displayed on the task page, for example, a plurality of sub-pages are set in the task page, different sub-pages are respectively used for displaying different types of target information, and a worker may switch among the plurality of sub-pages according to actual requirements to browse relevant information of the target client, thereby meeting service follow-up requirements of different workers.
Specifically, the customer information may include a name, an age, a sex, a residence, whether married, or the like reserved in the bank by the target customer; the asset information may include the target customer's deposits at the bank, stocks, funds, insurance, vehicles, real estate, etc.; the preference information may include personal preference profiles of the target customer such as preference profiles for fitment, real estate, insurance, car reviews, shopping, education, and the like.
In one embodiment, before step S101, the method further comprises:
responding to the network point selection operation, and confirming the currently selected target network point;
sending a website binding instruction to the server, wherein the website binding instruction is used for instructing the server to bind the target website with the intelligent wearable device.
In this embodiment, because the number of the bank outlets is very large, in order to distinguish receiving devices of analysis results of clients entering different bank outlets, when workers at different banks outlets wear and use the intelligent wearable device, the service outlets of the intelligent wearable device used by the workers at different banks outlets need to be selected as target outlets, after the target outlets are selected, a preset outlet binding button can be clicked, a outlet binding instruction is triggered to the server, so that the target outlets and the intelligent wearable device initiating the outlet binding instruction are bound by the background server, the bound intelligent wearable device can only receive service demand information of the target clients entering the target outlets, data confusion caused by receiving the service demand information of the clients entering other banks is avoided, and the accuracy of service recommendation is improved.
In one embodiment, after step S103, the method further comprises:
responding to task starting operation, and acquiring communication voice between a worker and a target client in real time;
converting the communication voice into corresponding communication words;
sending a real-time analysis instruction and the communication words to the server, wherein the real-time analysis instruction is used for instructing the server to carry out real-time demand analysis according to the communication words and outputting real-time demand information;
and receiving the real-time requirement information sent by the server, and switching and displaying the latest service recommendation scheme according to the real-time requirement information.
In this embodiment, when the worker confirms the location of the target client and comes to the side of the target client to perform short-distance marketing communication, a task start button preset on an equipment interface may be clicked to input a task start operation indicating that the service recommendation task for the target client is currently completed, at this time, a microphone function on the intelligent wearable equipment is started, communication voice between the worker and the target client is collected in real time, the communication voice is converted into corresponding communication text based on the pause judgment logic and is sent to the server, so that real-time demand analysis can be performed on communication content in the marketing process in the background server, and real-time demand information is output, and the intelligent wearable equipment switches and displays the latest service recommendation scheme on the equipment interface according to demand change after receiving the real-time demand information.
On the basis of analyzing the behavior data of the target client to obtain the service recommendation scheme, the embodiment further continuously performs matching updating on the service requirements of the target client according to the requirement change in the actual communication process, obtains the potential requirement service with the highest matching degree after updating as a new service recommendation scheme, enables the staff to obtain the latest service recommendation scheme in time in the whole communication process, provides an accurate guidance direction for adjusting the communication strategy, further fits the actual service requirements of the target client, and improves the customer obtaining efficiency and the recommendation success rate.
It can be understood that the process of converting the communication voice into the communication text can also be executed on the server, that is, the collected communication voice is sent to the server between the intelligent wearable devices, and the server performs real-time demand analysis after performing text conversion, which is not limited in this embodiment.
In one embodiment, after step S103, the method further comprises:
responding to task ending operation, and receiving task feedback information input by a worker;
and sending a recommendation feedback instruction and the task feedback information to the server, wherein the recommendation feedback instruction is used for indicating the server to perform feedback correction on a preset analysis model according to the matching degree between the task feedback information and the service demand information.
In this embodiment, after the communication between the staff and the target customer is finished, a task completion button preset on the device interface may be clicked to input a task completion operation, at this time, a feedback information input page is further displayed to receive task feedback information input by the staff, and the specific task feedback information may include whether the recommendation is successful, an actual transaction service, actual customer preference, and the like.
The feedback server analyzes whether the recommended service demand information is accurate through big data according to information grasped in the service recommendation communication process, a feedback submission button is clicked after filling is completed, a recommendation feedback instruction and task feedback information are sent to the server, so that the server can perform feedback correction on a preset analysis model for generating the service demand information based on the matching degree between the task feedback information and the service demand information, namely, the analysis model is continuously corrected through feedback of an actual service recommendation result, and the data mining capability and accuracy of the analysis model are further improved.
The service recommendation method is mainly introduced from the perspective of the intelligent wearable device, and the service recommendation method is introduced from the perspective of the server.
Referring to fig. 3 in detail, fig. 3 is a flowchart of an embodiment of a service recommendation method provided by the present invention, where the method is applied to a server, and the server maintains a long connection with an intelligent wearable device.
As shown in fig. 3, the method specifically includes the following steps:
s301, acquiring behavior data of a target customer who enters a bank outlet;
s302, performing service demand analysis on the target customer according to the behavior data and a preset analysis model to generate service demand information;
s303, sending the service requirement information to the intelligent wearable device, so that the intelligent wearable device generates a corresponding service recommendation task according to the service requirement information, and outputs a task prompt, wherein a task page of the service recommendation task comprises a service recommendation scheme of the target customer.
In this embodiment, for a target client entering a bank outlet, the server collects behavior data based on an identity of the target client, such as a name, an identification number, a client id, and the like, where the specific behavior data may be a transaction behavior of a transacted business, or a browsing behavior, a searching behavior, or a communication behavior with a bank service of various products or pages on a bank APP.
According to the collected behavior data and the preset analysis model, big data analysis is performed on the business preference and the demand of the target customer to achieve the purpose of accurate positioning marketing, the specific analysis model can adopt the existing data mining model based on a classification prediction algorithm, a regression prediction algorithm, a cluster analysis algorithm, association analysis and the like, and the business demand prediction mining can be achieved, and the embodiment is not limited to this. The service demand information obtained through analysis is sent to the intelligent wearable device, so that a worker wearing the intelligent wearable device can quickly learn a service recommendation scheme with high demand adaptation degree with a target client through the generated service recommendation task and task reminding, and the service recommendation efficiency and accuracy of a bank outlet are improved through the combination of the background server and the front-end portable intelligent wearable device.
In one embodiment, before step S301, the method further comprises:
receiving number fetching information sent by number fetching equipment;
and confirming the target client which enters the bank outlet and finishes the number taking according to the number taking information.
In this embodiment, after a client enters a bank outlet, a number taking operation may be performed on a number taking device through a manner such as an identity card, a reserved mobile phone number, and the like, at this time, the number taking device sends number taking information to a server, which may specifically include an identity of the number taking client, a service to be handled, and the like, the server confirms a client who has currently entered the bank outlet and completed number taking as a target client through the number taking information, and identifies a target client with a service handling intention among all staff entering the bank outlet through the number taking operation, thereby further improving accuracy and efficiency of service recommendation.
In one embodiment, before step S303, the method further comprises:
receiving a network point binding instruction sent by the intelligent wearable equipment, wherein the network point binding instruction carries a target network point;
and binding the target website with the intelligent wearable device.
In this embodiment, the same server may analyze the business requirements of the customers entering different banking outlets, so as to save hardware resources and cost. In order to ensure the accuracy of information sending, staff of each bank network point needs to perform equipment binding operation, the server receives a network point binding instruction which is sent by the intelligent wearable equipment and carries a target network point, and binds the target network point and the intelligent wearable equipment which sends the network point binding instruction, so that the bound intelligent wearable equipment can only receive service requirement information of a target client which enters the target network point, the receiving equipment of the service requirement information of different clients is determined, and data confusion is avoided.
In one embodiment, after step S303, the method further comprises:
receiving communication words and a real-time analysis instruction sent by the intelligent wearable device, wherein the communication words are obtained by converting communication voice between a real-time acquired worker and a target client;
performing real-time demand analysis on the communication characters according to the real-time analysis instruction, and outputting real-time demand information;
and sending the real-time requirement information to the intelligent wearable equipment so that the intelligent wearable equipment switches and displays the latest service recommendation scheme according to the real-time requirement information.
In this embodiment, in a communication process between a worker and a target client, a server receives a real-time analysis instruction sent by an intelligent wearable device, and acquires and converts communication characters obtained in real time, so as to perform real-time demand analysis on the communication characters, specifically, keywords such as "don't care", "don't consider", "interest", and the like in the communication characters can be extracted, and the real-time demand of the target client is analyzed in combination with the context of the keywords, for example, if the keywords before and after "don't care" are a certain potential demand service in previously sent service demand information, the matching degree between the keywords and the target client is reduced, and if the keywords before and after "interest" are a certain service type, the demand service with the highest matching degree with the target client is analyzed in the service type as real-time demand information, and the like.
And after the real-time requirement information is generated each time, the real-time requirement information is sent to the intelligent wearable equipment, so that the intelligent wearable equipment can switch and display the latest service recommendation scheme on the interface in time. Specifically, the real-time demand information can be output once every preset time, that is, the server updates the service demand of the target client once every preset time based on the latest received communication words, so as to adapt to the demand change of the target client, and improve the efficiency and the success rate of obtaining the client. The specific preset time can be flexibly set according to the requirement, for example, 30 seconds, 1 minute, and the like, which is not limited in this embodiment.
In one embodiment, after step S303, the method further comprises:
receiving task feedback information and a recommendation feedback instruction sent by the intelligent wearable device;
calculating the matching degree between the task feedback information and the service demand information according to the recommended feedback instruction;
and performing feedback correction on a preset analysis model according to the matching degree.
In this embodiment, after the service recommendation is finished, the staff may submit corresponding task feedback information based on a communication process and trigger a recommendation feedback instruction, and the server calculates a matching degree between the task feedback information and the service demand information obtained through previous analysis according to various contents included in the task feedback information, such as whether the recommendation is successful, an actual transaction service, actual customer preference, and the like.
For example, when the recommendation is successful, whether the potential demand service in the service demand information includes the actual transaction service can be judged, and if not, the service recommendation is not accurate; if yes, service recommendation is very accurate, if not, service recommendation is more accurate, and corresponding matching scores are preset for different accuracy degrees; when the recommendation fails, whether the preference information obtained by the previous analysis has a deviation can be judged according to the fed back actual customer preference, for example, the overlapping rate of the actual customer preference and the preference label in the preference information can be calculated, corresponding matching scores are preset for the overlapping rates of different intervals, and certainly, the above-mentioned bias analysis can be performed when the recommendation succeeds, so that matching quantification is performed on the task feedback information received under different service recommendation results, feedback correction is performed on the analysis model according to the quantified matching result, for example, parameter adjustment and other processing are performed, so that adaptive feedback adjustment can be performed on the theoretical analysis model according to the actual service recommendation result, the analysis model can be more suitable for the service requirement condition of the actual customer, and the accuracy and the success rate of service recommendation are improved.
Another embodiment of the present invention provides an intelligent wearable device, as shown in fig. 4, the intelligent wearable device 1 includes:
the monitoring and acquiring module 11 is configured to monitor and acquire service demand information sent by a server, where the service demand information is obtained by analyzing, by the server, behavior data of a target client who has entered a bank outlet;
the task generation reminding module 12 is used for generating a corresponding service recommendation task according to the service demand information and outputting a task reminder;
and the task displaying module 13 is configured to display a task page of the service recommendation task in response to a task viewing operation, where the task page includes a service recommendation scheme of the target client.
The modules referred to in the present invention refer to a series of computer program instruction segments capable of performing specific functions, and are more suitable for describing the execution process of service recommendation than programs.
In one embodiment, the smart wearable device 1 further includes:
the network point selection module is used for responding to the network point selection operation and confirming the currently selected target network point;
and the binding sending module is used for sending a website binding instruction to the server, wherein the website binding instruction is used for indicating the server to bind the target website with the intelligent wearable equipment.
In one embodiment, the intelligent wearable device 1 further includes:
the voice acquisition module is used for responding to task starting operation and acquiring communication voice between a worker and a target client in real time;
the conversion module is used for converting the communication voice into corresponding communication characters;
the real-time analysis sending module is used for sending a real-time analysis instruction and the communication characters to the server, wherein the real-time analysis instruction is used for instructing the server to carry out real-time demand analysis according to the communication characters and outputting real-time demand information;
and the real-time demand receiving module is used for receiving the real-time demand information sent by the server and switching and displaying the latest service recommendation scheme according to the real-time demand information.
In one embodiment, the smart wearable device 1 further includes:
the feedback receiving module is used for responding to task ending operation and receiving task feedback information input by a worker;
and the feedback sending module is used for sending a recommended feedback instruction and the task feedback information to the server, wherein the recommended feedback instruction is used for indicating the server to perform feedback correction on a preset analysis model according to the matching degree between the task feedback information and the service requirement information.
In one embodiment, at least one of customer information, asset information, and preference information of the target customer is also included in the task page.
In one embodiment, the task reminder includes at least one of a vibration reminder, a voice reminder, a ring tone reminder, and a text reminder.
In one embodiment, the smart wearable device is a smart watch or a smart bracelet.
Another embodiment of the present invention provides a service recommendation server, as shown in fig. 5, a server 2 includes:
the acquisition module 21 is used for acquiring behavior data of a target customer who enters a bank outlet;
the analysis module 22 is configured to perform service demand analysis on the target customer according to the behavior data and a preset analysis model, and generate service demand information;
the sending module 23 is configured to send the service requirement information to an intelligent wearable device, so that the intelligent wearable device generates a corresponding service recommendation task according to the service requirement information, and outputs a task prompt, where a task page of the service recommendation task includes a service recommendation scheme of the target customer.
The modules referred to in the present invention refer to a series of computer program instruction segments capable of performing specific functions, and are more suitable for describing the execution process of service recommendation than programs.
In one embodiment, the server 2 further includes:
the number taking receiving module is used for receiving number taking information sent by the number taking equipment;
and the client confirmation module is used for confirming the target client which enters the bank outlet and finishes number fetching at present according to the number fetching information.
In one embodiment, the server 2 further includes:
the binding receiving module is used for receiving a network point binding instruction sent by the intelligent wearable device, wherein the network point binding instruction carries a target network point;
and the binding module is used for binding the target website and the intelligent wearable device.
In one embodiment, the server 2 further includes:
the real-time analysis receiving module is used for receiving communication characters and real-time analysis instructions sent by the intelligent wearable equipment, wherein the communication characters are obtained by converting communication voice between a real-time collected worker and a target client;
the real-time analysis module is used for carrying out real-time demand analysis on the communication characters according to the real-time analysis instruction and outputting real-time demand information;
and the real-time requirement sending module is used for sending the real-time requirement information to the intelligent wearable equipment so that the intelligent wearable equipment switches and displays the latest service recommendation scheme according to the real-time requirement information.
In one embodiment, the server 2 further includes:
the feedback receiving module is used for receiving task feedback information and a recommendation feedback instruction sent by the intelligent wearable device;
the matching calculation module is used for calculating the matching degree between the task feedback information and the service demand information according to the recommendation feedback instruction;
and the feedback correction module is used for performing feedback correction on a preset analysis model according to the matching degree.
Another embodiment of the present invention provides a service recommendation system, as shown in fig. 6, the system 10 includes:
one or more processors 110 and a memory 120, where one processor 110 is illustrated in fig. 6, the processor 110 and the memory 120 may be connected by a bus or other means, and the connection by the bus is illustrated in fig. 6.
The memory 120 is a non-volatile computer-readable storage medium, and can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions corresponding to the service recommendation method in the embodiment of the present invention. The processor 110 executes various functional applications and data processing of the system 10, namely, implements the service recommendation method in the above method embodiments, by running the non-volatile software programs, instructions and units stored in the memory 120.
The memory 120 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the system 10, and the like. Further, the memory 120 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, memory 120 may optionally include memory located remotely from processor 110, which may be connected to system 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
One or more units are stored in the memory 120, which when executed by the one or more processors 110, perform the service recommendation method in any of the above-described method embodiments, e.g. performing the above-described method steps S101 to S103 of fig. 1, or performing the above-described method steps S301 to S303 of fig. 3.
Embodiments of the present invention provide a non-transitory computer-readable storage medium storing computer-executable instructions for execution by one or more processors, for example, to perform method steps S101-S103 of fig. 1 described above or to perform method steps S301-S303 of fig. 3 described above.
By way of example, non-volatile storage media can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically erasable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM), which acts as external cache memory. By way of illustration and not limitation, RAM is available in many forms such as Synchronous RAM (SRAM), dynamic RAM, (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The disclosed memory components or memory of the operating environment described herein are intended to comprise one or more of these and/or any other suitable types of memory.
To sum up, in the service recommendation method, the intelligent wearable device, the server, the system and the medium disclosed by the invention, the method monitors and acquires the service requirement information sent by the server through the intelligent wearable device, and the service requirement information is obtained by analyzing the server according to the behavior data of the target client who enters a bank outlet; generating a corresponding service recommendation task according to the service demand information, and outputting a task prompt; and responding to the task viewing operation, and displaying a task page of the service recommendation task, wherein the task page comprises a service recommendation scheme of the target client. The method has the advantages that the method carries out big data mining on the customers entering the bank outlets, and sends the service demand information obtained by mining to the intelligent wearable equipment, so that the bank workers can check the service recommendation schemes of the customers on the intelligent wearable equipment very conveniently and rapidly, the targeted service recommendation can be carried out on the customers, accurate service recommendation on different customers within short outlet residence time is realized, and the customer obtaining efficiency and the transaction rate are effectively improved.
Of course, it will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by instructing relevant hardware (such as a processor, a controller, etc.) through a computer program, which may be stored in a non-volatile computer-readable storage medium, and the computer program may include the processes of the above method embodiments when executed. The storage medium may be a memory, a magnetic disk, a floppy disk, a flash memory, an optical memory, etc.
It will be understood that the invention is not limited to the examples described above, but that modifications and variations will occur to those skilled in the art in light of the above teachings, and that all such modifications and variations are considered to be within the scope of the invention as defined by the appended claims.
Claims (13)
1. A service recommendation method is applied to intelligent wearable equipment, the intelligent wearable equipment is kept in long connection with a server, the intelligent wearable equipment is an intelligent watch or an intelligent bracelet, and the method comprises the following steps:
monitoring and acquiring service demand information sent by the server, wherein the service demand information is obtained by analyzing the server according to behavior data of a target client who enters a bank outlet;
generating a corresponding service recommendation task according to the service demand information, outputting a task prompt, specifically prompting a new task in a touch manner after the service recommendation task is generated, and prompting an incomplete task through a superscript character on an equipment interface;
responding to task viewing operation, displaying a task page of the service recommendation task, wherein the task page comprises a service recommendation scheme of the target customer, and the specific service recommendation scheme is obtained by sequencing according to the purchase possibility based on the received service demand information;
after the task page of the service recommendation task is displayed in response to the task viewing operation, the method further comprises:
responding to task starting operation, and acquiring communication voice between a worker and a target client in real time;
converting the communication voice into corresponding communication words;
sending a real-time analysis instruction and the communication words to the server, wherein the real-time analysis instruction is used for instructing the server to carry out real-time demand analysis according to the communication words and outputting real-time demand information;
receiving real-time requirement information which is generated and sent each time in the process that the server completes a service recommendation task for a target client, and switching and displaying the latest service recommendation scheme according to the real-time requirement information;
wherein, the real-time demand analysis according to the communication words specifically means:
extracting key words in the communication words, analyzing the real-time requirements of the target customers by combining the contexts of the key words, reducing the matching degree of the required services and the target customers in the service requirement information, or analyzing the required services with the highest matching degree with the target customers in the interested service types as the real-time requirement information;
the real-time analysis instruction is used for indicating the server to update the service requirement of the target client once at preset intervals based on the latest received communication characters, and outputting real-time requirement information once at preset intervals so as to adapt to the requirement change of the target client.
2. The service recommendation method according to claim 1, wherein before the monitoring and acquiring the service requirement information sent by the server, the method further comprises:
responding to the network point selection operation, and confirming the currently selected target network point;
sending a website binding instruction to the server, wherein the website binding instruction is used for instructing the server to bind the target website with the intelligent wearable device.
3. The service recommendation method according to claim 1, wherein after the task page of the service recommendation task is presented in response to a task viewing operation, the method further comprises:
responding to task ending operation, and receiving task feedback information input by a worker;
and sending a recommendation feedback instruction and the task feedback information to the server, wherein the recommendation feedback instruction is used for indicating the server to perform feedback correction on a preset analysis model according to the matching degree between the task feedback information and the service demand information.
4. The service recommendation method according to any one of claims 1-3, wherein at least one of customer information, asset information and preference information of the target customer is further included in the task page.
5. The service recommendation method according to any of claims 1-3, wherein said task reminders comprise at least one of vibration reminders, voice reminders, ring tone reminders, text reminders.
6. A service recommendation method is applied to a server, the server is in long connection with an intelligent wearable device, the intelligent wearable device is an intelligent watch or an intelligent bracelet, and the method comprises the following steps:
acquiring behavior data of a target customer who enters a bank outlet;
performing service demand analysis on the target client according to the behavior data and a preset analysis model to generate service demand information;
sending the service requirement information to the intelligent wearable device, so that the intelligent wearable device generates a corresponding service recommendation task according to the service requirement information and outputs task reminding, specifically, after the service recommendation task is generated, a new task is prompted in a touch manner, and uncompleted tasks are reminded through superscript characters on a device interface; the task page of the service recommendation task comprises a service recommendation scheme of the target customer, and the specific service recommendation scheme is obtained by sequencing according to the purchase possibility based on service demand information;
after the service requirement information is sent to the intelligent wearable device, the method further includes:
receiving communication words and a real-time analysis instruction sent by the intelligent wearable device, wherein the communication words are obtained by converting communication voice between a real-time acquired worker and a target client;
performing real-time demand analysis on the communication characters according to the real-time analysis instruction, and outputting real-time demand information;
after real-time demand information is generated every time in the process of completing a business recommendation task for a target client, the real-time demand information is sent to the intelligent wearable device, so that the intelligent wearable device switches and displays the latest business recommendation scheme according to the real-time demand information;
wherein, the real-time demand analysis according to the communication words specifically means:
extracting keywords in the communication words, analyzing the real-time requirements of the target clients by combining the contexts of the keywords, and reducing the matching degree of the required services in the service requirement information and the target clients, or analyzing the required services with the highest matching degree with the target clients in the interested service types as the real-time requirement information;
carrying out real-time demand analysis on the communication characters according to the real-time analysis instruction, and outputting real-time demand information, wherein the real-time demand analysis specifically comprises the following steps:
and updating the service requirement of the target client once at preset intervals based on the latest received communication characters, and outputting real-time requirement information once at preset intervals so as to adapt to the requirement change of the target client.
7. The business recommendation method of claim 6, wherein prior to collecting behavioral data of a target customer who has entered a banking outlet, the method further comprises:
receiving number fetching information sent by number fetching equipment;
and confirming the target client which has entered the bank outlet and finished the number taking according to the number taking information.
8. The service recommendation method according to claim 6, wherein before sending the service requirement information to the smart wearable device, the method further comprises:
receiving a network point binding instruction sent by the intelligent wearable equipment, wherein the network point binding instruction carries a target network point;
and binding the target website with the intelligent wearable device.
9. The service recommendation method according to claim 6, wherein after the sending the service requirement information to the smart wearable device, the method further comprises:
receiving task feedback information and a recommendation feedback instruction sent by the intelligent wearable device;
calculating the matching degree between the task feedback information and the service demand information according to the recommendation feedback instruction;
and performing feedback correction on a preset analysis model according to the matching degree.
10. An intelligence wearing equipment which characterized in that includes:
the monitoring acquisition module is used for monitoring and acquiring service demand information sent by the server, wherein the service demand information is obtained by analyzing the server according to behavior data of a target client who enters a bank outlet;
the task generation reminding module is used for generating a corresponding service recommendation task according to the service demand information and outputting a task reminder, specifically, after the service recommendation task is generated, a new task is prompted in a touch manner, and uncompleted tasks are reminded through superscript characters on an equipment interface;
the task display module is used for responding to task viewing operation and displaying a task page of the service recommendation task, wherein the task page comprises a service recommendation scheme of the target customer, and the specific service recommendation scheme is obtained by sequencing according to the purchase possibility based on the received service demand information;
responding to task starting operation, and acquiring communication voice between a worker and a target client in real time;
converting the communication voice into corresponding communication words;
sending a real-time analysis instruction and the communication words to the server, wherein the real-time analysis instruction is used for instructing the server to carry out real-time demand analysis according to the communication words and outputting real-time demand information;
receiving real-time requirement information which is generated and sent each time in the process that the server completes a service recommendation task for a target client, and switching and displaying the latest service recommendation scheme according to the real-time requirement information;
the real-time demand analysis according to the communication words specifically refers to:
extracting keywords in the communication words, analyzing the real-time requirements of the target clients by combining the contexts of the keywords, and reducing the matching degree of the required services in the service requirement information and the target clients, or analyzing the required services with the highest matching degree with the target clients in the interested service types as the real-time requirement information;
the real-time analysis instruction is used for indicating the server to update the service requirement of the target client once at preset intervals based on the latest received communication characters, and outputting real-time requirement information once at preset intervals so as to adapt to the requirement change of the target client.
11. A service recommendation server, comprising:
the acquisition module is used for acquiring behavior data of a target customer who enters a bank outlet;
the analysis module is used for carrying out service demand analysis on the target customer according to the behavior data and a preset analysis model to generate service demand information;
the sending module is used for sending the service requirement information to the intelligent wearable device so that the intelligent wearable device generates a corresponding service recommendation task according to the service requirement information and outputs a task prompt, particularly prompts a new task in a touch manner after the service recommendation task is generated, and prompts uncompleted tasks through superscript characters on an equipment interface; the task page of the service recommendation task comprises a service recommendation scheme of the target customer, and the specific service recommendation scheme is obtained by sequencing according to the purchase possibility based on service demand information;
receiving communication words and a real-time analysis instruction sent by the intelligent wearable device, wherein the communication words are obtained by converting communication voice between a real-time acquired worker and a target client;
performing real-time demand analysis on the communication characters according to the real-time analysis instruction, and outputting real-time demand information;
after real-time demand information is generated every time in the process of completing a business recommendation task for a target client, the real-time demand information is sent to the intelligent wearable device, so that the intelligent wearable device switches and displays the latest business recommendation scheme according to the real-time demand information;
the real-time demand analysis according to the communication words specifically refers to:
extracting keywords in the communication words, analyzing the real-time requirements of the target clients by combining the contexts of the keywords, and reducing the matching degree of the required services in the service requirement information and the target clients, or analyzing the required services with the highest matching degree with the target clients in the interested service types as the real-time requirement information;
carrying out real-time demand analysis on the communication characters according to the real-time analysis instruction, and outputting real-time demand information, wherein the real-time demand analysis specifically comprises the following steps:
and updating the service requirement of the target client once every preset time based on the newly received communication words, and outputting real-time requirement information once every preset time so as to adapt to the requirement change of the target client.
12. A service recommendation system, characterized in that the system comprises the intelligent wearable device as claimed in claim 10, and the service recommendation server as claimed in claim 11.
13. A non-transitory computer-readable storage medium storing computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform the service recommendation method of any of claims 1-5 or to perform the service recommendation method of any of claims 6-9.
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