Salesperson recommendation method and device, electronic device, and storage medium

Abstract

The present disclosure is about a salesperson recommendation method and device, electronic device, and storage medium. The system includes: obtaining user information of a target user; the user information includes biometric information and behavioral characteristic information; determining the type of the target user based on the biometric information; when the type is a first type of user, obtaining personal information keywords and business information keywords of the target user according to the biometric information, and determining at least one recommended salesperson according to the personal information keywords and the business information keywords; or, when the type is a second type of user, obtaining behavioral characteristic keywords of the target user according to the identity information, and determining at least one recommended salesperson according to the behavioral characteristic keywords. In this embodiment, at least one salesperson can be recommended for different target users, so as to provide users with differentiated and personalized services and enhance the user experience.

Description

Technical Field

[0001] The present disclosure relates to the field of data processing technology, and in particular to a salesperson recommendation method and device, electronic equipment, and storage medium. Background Art

[0002] At present, some enterprises, such as banks and merchants, provide face-to-face services to users through windows. Taking banks as an example, users can handle bank card services, cash services and other value-added services at banks, as well as some other personalized services. In actual applications, users can receive services from corresponding staff in order. However, for staff, each person has different expertise, and there may be situations where staff do not understand the services required by users, resulting in low efficiency in handling services and reduced experience. Summary of the invention

[0003] The present disclosure provides a salesperson recommendation method and device, an electronic device, and a storage medium to address the deficiencies of related technologies.

[0004] According to a first aspect of an embodiment of the present disclosure, a salesperson recommendation method is provided, comprising:

[0005] Obtaining user information of a target user; the user information includes biometric information and behavioral characteristic information;

[0006] Determine the type of the target user based on the biometric information; the type includes a first type of user who has handled at least one service or a second type of user who has not handled any service;

[0007] When the type is the first type of user, the personal information keywords and business information keywords of the target user are obtained according to the biometric information, and at least one recommended salesperson is determined based on the personal information keywords and the business information keywords; or, when the type is the second type of user, the behavioral characteristic keywords of the target user are obtained according to the identity information, and at least one recommended salesperson is determined based on the behavioral characteristic keywords.

[0008] Optionally, the method further comprises:

[0009] A graphic code corresponding to the salesperson is determined, wherein the graphic code is used to instruct the target user to obtain the salesperson's personal information by scanning the graphic code.

[0010] Optionally, the method further comprises:

[0011] In response to receiving a graphic code reading request, sending personal information corresponding to the graphic code to the mobile terminal, the graphic code reading request is also used to indicate identification information of the first service terminal, and the graphic code reading request is sent in response to scanning the graphic code displayed on the first service terminal by the mobile terminal;

[0012] In response to receiving a salesperson selection request, acquiring the real-time location sent by the mobile terminal, wherein the salesperson selection request is sent in response to receiving a selection of a target salesperson through the mobile terminal;

[0013] The real-time location is sent to a second service terminal associated with the target salesperson.

[0014] Optionally, the method further comprises:

[0015] Acquire the location information of the first service terminal, and calculate the distance between the mobile terminal and the first service terminal;

[0016] In response to detecting that the distance between the mobile terminal and the first service terminal is greater than or equal to a first threshold, sending a service handling inquiry to the mobile terminal, wherein the service handling inquiry is used to inquire whether the user continues to handle the service;

[0017] and / or,

[0018] In response to detecting that the distance between the mobile terminal and the first service terminal is greater than or equal to a first threshold, sending a service terminal switching request to the mobile terminal, wherein the service terminal switching request includes location information of a third service terminal, and the distance between the mobile terminal and the third service terminal is less than the first threshold;

[0019] In response to receiving a confirmation switching service terminal response, a switching service terminal message is sent to the second service terminal associated with the target salesperson, the switching service terminal response is used to indicate confirmation of switching to the third service terminal, and the switching service terminal message includes location information of the third service terminal.

[0020] Optionally, the method further comprises:

[0021] In response to detecting a salesperson selection request, sending the target user's information to the target salesperson; the salesperson selection request is sent in response to receiving a selection of a target salesperson through a mobile terminal;

[0022] When the target user is a first type of user, the target user information includes the target user's biometric information and identity information corresponding to the biometric information, or when the target user is a second type of user, the target user information is user information.

[0023] According to a second aspect of an embodiment of the present disclosure, there is provided a salesperson recommendation device, comprising:

[0024] An information acquisition module is used to acquire user information of a target user; the user information includes biometric information and behavioral characteristic information;

[0025] A type acquisition module, used to determine the type of the target user based on the biometric information; the type includes a first type of user who has handled at least one service or a second type of user who has not handled any service;

[0026] A salesperson recommendation module is used to obtain personal information keywords and business information keywords of the target user based on the biometric information when the type is a first type of user, and determine at least one recommended salesperson based on the personal information keywords and the business information keywords; or, when the type is a second type of user, obtain behavioral characteristic keywords of the target user based on the identity information, and determine at least one recommended salesperson based on the behavioral characteristic keywords.

[0027] Optionally, the device further comprises:

[0028] The graphic code determination module is used to determine the graphic code corresponding to the salesperson, and the graphic code is used to instruct the target user to obtain the salesperson's personal information by scanning the graphic code.

[0029] Optionally, the device further comprises:

[0030] a personal information sending module, configured to send personal information corresponding to the graphic code to the mobile terminal in response to receiving a graphic code reading request, wherein the graphic code reading request is further configured to indicate identification information of the first service terminal, and the graphic code reading request is sent in response to scanning the graphic code displayed on the first service terminal by the mobile terminal;

[0031] A real-time location acquisition module, configured to acquire the real-time location sent by the mobile terminal in response to receiving a salesperson selection request, wherein the salesperson selection request is sent in response to receiving a selection of a target salesperson through the mobile terminal;

[0032] The real-time location sending module is used to send the real-time location to the second business terminal associated with the target salesperson.

[0033] Optionally, the device further comprises:

[0034] A location information acquisition module, used to acquire the location information of the first service terminal and calculate the distance between the mobile terminal and the first service terminal;

[0035] A service inquiry sending module, configured to send a service handling inquiry to the mobile terminal in response to detecting that the distance between the mobile terminal and the first service terminal is greater than or equal to a first threshold, wherein the service handling inquiry is used to inquire the user whether to continue handling the service;

[0036] and / or,

[0037] a service request sending module, configured to send a service terminal switching request to the mobile terminal in response to detecting that the distance between the mobile terminal and the first service terminal is greater than or equal to a first threshold, wherein the service terminal switching request includes location information of a third service terminal, and the distance between the mobile terminal and the third service terminal is less than the first threshold;

[0038] The service response receiving module is used to send a service terminal switching message to the second service terminal associated with the target salesperson in response to receiving a service terminal switching confirmation response, wherein the service terminal switching response is used to indicate confirmation of switching to the third service terminal, and the service terminal switching message includes location information of the third service terminal.

[0039] Optionally, the device further comprises:

[0040] A user information sending module, configured to send the target user's information to the target salesperson in response to detecting a salesperson selection request; the salesperson selection request is sent in response to receiving a selection of a target salesperson through a mobile terminal;

[0041] When the target user is a first type of user, the target user information includes the target user's biometric information and identity information corresponding to the biometric information, or when the target user is a second type of user, the target user information is user information.

[0042] According to a third aspect of an embodiment of the present disclosure, there is provided an electronic device, including:

[0043] processor;

[0044] a memory for storing a computer program executable by the processor;

[0045] The processor is configured to execute the computer program in the memory to implement the above method.

[0046] According to a fourth aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided, and when an executable computer program in the storage medium is executed by a processor, the above-mentioned method can be implemented.

[0047] The technical solution provided by the embodiments of the present disclosure may have the following beneficial effects:

[0048] As can be seen from the above embodiments, the user information of the target user can be obtained in the disclosed embodiments; the user information includes biometric information and behavioral characteristic information; then, the type of the target user is determined based on the biometric information; the type includes a first type of user who has handled at least one business or a second type of user who has not handled any business; when the type is the first type of user, the personal information keywords and business information keywords of the target user are obtained according to the biometric information, and at least one recommended salesperson is determined according to the personal information keywords and the business information keywords; or, when the type is the second type of user, the behavioral characteristic keywords of the target user are obtained according to the identity information, and at least one recommended salesperson is determined according to the behavioral characteristic keywords. In this way, in this embodiment, at least one salesperson can be recommended for different target users to facilitate the target users to make choices, thereby providing users with differentiated and personalized services and improving the user experience.

[0049] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0051] Figure 1 The figure is a flow chart of a salesperson recommendation method according to an exemplary embodiment.

[0052] Figure 2 The figure is a flow chart of another salesperson recommendation method according to an exemplary embodiment.

[0053] Figure 3 The figure is a block diagram of a salesperson recommendation device according to an exemplary embodiment. DETAILED DESCRIPTION

[0054] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described below by way of example do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices consistent with some aspects of the present disclosure as detailed in the appended claims.

[0055] In order to solve the above technical problems, the present disclosure provides a salesperson recommendation method. Figure 1It is a flowchart of a salesperson recommendation method shown according to an exemplary embodiment, which is applied to an electronic device, which may be a smart phone, a server, a smart screen, etc. In addition, the electronic device can be used in different application scenarios, and the following description will take the application of the electronic device in a banking scenario to recommend a salesperson as an example, and the subsequent embodiments will refer to the electronic device as a business terminal. For the convenience of description, the business terminal operated by the target user is referred to as the first business terminal. When the target user can switch to another business terminal to handle business after leaving the first business terminal, the switched business terminal is referred to as the third business terminal to distinguish it from the first business terminal; each salesperson is associated with a business terminal, which is referred to as the second business terminal. The electronic device used by the target user is called a mobile terminal.

[0056] See also Figure 1 , a salesperson recommendation method, comprising steps 11 to 13:

[0057] In step 11, user information of the target user is obtained; the user information includes biometric feature information and behavioral feature information.

[0058] In this embodiment, the first service terminal may include an image sensor, which may capture images within a specified area. When a user enters the specified area of ​​the first service terminal, the image sensor may capture an image of the user; for ease of description, the user entering the specified area is referred to as a target user. The image sensor may send at least one image to a processor of the first service terminal.

[0059] In this embodiment, after acquiring the above-mentioned at least one image, the processor of the first service terminal can use a pre-stored image recognition algorithm, such as a convolutional neural network, a recurrent neural network, etc., to acquire biometric information in the image. For example, the processor can acquire face information, iris information, face 3D information, age and gender, etc. in the image. The technician can select appropriate biometric features, such as fingerprints, according to the specific scenario. If it can help determine the identity information of the target user, the corresponding solution falls within the protection scope of this disclosure.

[0060] In this embodiment, after acquiring the above-mentioned at least one image, the processor of the first service terminal may also acquire the target user's behavior feature information, such as action information (such as walking posture, facial expression), clothing information (such as whether wearing luxury goods, whether wearing gestures), etc. The technicians may select appropriate behavior features according to the specific scenario, such as arm swing, etc. If it can help determine the target user's actions or postures, the corresponding solution falls within the protection scope of this disclosure.

[0061] In this embodiment, the above-mentioned biometric characteristic information and behavioral characteristic information are collectively referred to as user information.

[0062] In step 12, the type of the target user is determined based on the biometric information; the type includes a first type of user who has handled at least one service or a second type of user who has not handled any service.

[0063] In this embodiment, the processor in the first service terminal can determine the type of target user based on biometric information, which type includes a first type of user (commonly known as old users) who has handled at least one service or a second type of user (commonly known as new users) who has not handled any service.

[0064] In one example, the processor in the first service terminal can process the biometric information into a biometric vector, and the first service terminal can store a user database, and each user corresponds to at least one user feature vector. In this way, the processor can calculate the similarity between the biometric vector and each user feature vector in the user database in turn. Among them, the calculation method can use the cosine formula, and the cosine value is the similarity. The larger the cosine value, the higher the similarity. When there is a similarity that exceeds a preset similarity threshold, the processor can determine that the type of the target user is a first type of user; or, when all similarities are less than the preset similarity threshold, the processor can determine that there is no such target user in the user database, that is, determine that the type of the target user is a second type of user.

[0065] It should be noted that, in actual applications, the processor of the first service terminal can also calculate the characteristic distance between the biometric information and the user characteristic information of each user in the user database, and determine whether it is a first-category user or a second-category user by the size of the characteristic distance and the characteristic distance threshold. The corresponding scheme falls within the protection scope of this disclosure.

[0066] In step 13, when the type is the first type of user, the personal information keywords and business information keywords of the target user are obtained based on the biometric information, and at least one recommended salesperson is determined based on the personal information keywords and the business information keywords; or, when the type is the second type of user, the behavioral characteristic keywords of the target user are obtained based on the identity information, and at least one recommended salesperson is determined based on the behavioral characteristic keywords.

[0067] In this embodiment, when the processor in the first service terminal determines that the target user is a first type of user, it can obtain the target user's personal information and business information based on the biometric signal, wherein the personal information may include but is not limited to star rating, marital status, whether to hold a black gold card, private bank contract sign, etc.; the business information may include but is not limited to loan business, financial management business, savings business, etc. Then, the processor can extract personal information keywords from the above personal information, and extract business information keywords from the above business information. After that, the processor can match the keywords of each salesperson in the preset salesperson database according to the personal information keywords and business information keywords. For example, one point (or different scores) can be obtained for each keyword matched. The more keywords matched, the higher the matching score, so that each salesperson can obtain a matching score. Finally, the matching scores are sorted in order from large to small, and the salesperson corresponding to at least one matching score ranked at the top is used as the recommended salesperson.

[0068] In actual applications, the first business terminal can determine the weight according to the number of times the above keywords appear, and then calculate the matching score based on the weight after the keywords are matched, which can also achieve the effect of determining the recommended salesperson. The corresponding solution falls within the protection scope of this disclosure.

[0069] It should be noted that the keywords of each salesperson in the salesperson database can be obtained based on their performance, habits, work efficiency, familiarity with different types of users, etc. For example, a salesperson has excellent performance, relatively high work efficiency, and a personality that is outgoing, etc. The technicians can select keywords that can characterize the characteristics of each salesperson according to the specific scenario, and the corresponding solutions fall within the protection scope of this disclosure.

[0070] In this embodiment, when the processor in the first service terminal determines that the target user is a second type of user, the processor can obtain the characteristic data of the target user according to the identity information of the target user. It is understandable that the characteristic data can be all of the behavioral characteristic information determined in step 11, or a part of the behavioral characteristic information that can characterize the personality characteristics of the target user, and the appropriate behavioral characteristics can be selected according to the specific scenario. Then, the processor extracts the behavioral characteristic keywords from the above characteristic data, and matches the keywords of each salesperson in the preset salesperson database according to the behavioral characteristic keywords. For example, one point (or different scores) can be obtained for each keyword matched, and the more keywords matched, the higher the matching score, so that each salesperson can obtain a matching score. Finally, the matching scores are sorted in order from large to small, and the salesperson corresponding to at least one matching score ranked at the top is used as the recommended salesperson.

[0071] Similarly, when the processor recommends a salesperson for the second type of user, the weight can also be used to calculate the matching score, and the effect of determining the recommended salesperson can also be achieved. The corresponding solution falls within the protection scope of this disclosure.

[0072] In this embodiment, the processor in the first business terminal can display at least one recommended salesperson in the form of a list to the target user, so as to facilitate the target user to select one of the salespersons as the target salesperson. In one example, in addition to displaying the necessary information of the recommended salesperson (such as proficiency in business, motto, working hours, etc.), at least one of the recommended salesperson's current work status, busyness, estimated completion time, workstation, whether the target user has provided services, etc. can also be displayed in the display area, so that the target user can consider their own situation and the salesperson's information such as the working status to select the desired salesperson, which is conducive to improving the user experience.

[0073] In one embodiment, the processor in the first business terminal can detect a salesperson selection request, which is sent in response to receiving a selection of a target salesperson through a mobile terminal, or is generated in response to the first business terminal receiving a selection of a target salesperson. When the salesperson selection request is detected, the processor can send the target user's information to the target salesperson in response to the above-mentioned salesperson selection request. Wherein, when the target user is a first type of user, the target user's information includes the target user's biometric information and identity information corresponding to the biometric information, or when the target user is a second type of user, the target user's information is user information. Of course, the technician can also adjust the target user's information according to the specific scenario. If it can help the target salesperson identify the target user, the corresponding solution falls within the protection scope of this disclosure.

[0074] At this point, in the disclosed embodiment, the user information of the target user can be obtained; the user information includes biometric information and behavioral characteristic information; then, the type of the target user is determined based on the biometric information; the type includes a first type of user who has handled at least one business or a second type of user who has not handled any business; when the type is the first type of user, the personal information keywords and business information keywords of the target user are obtained according to the biometric information, and at least one recommended salesperson is determined according to the personal information keywords and the business information keywords; or, when the type is the second type of user, the behavioral characteristic keywords of the target user are obtained according to the identity information, and at least one recommended salesperson is determined according to the behavioral characteristic keywords. In this way, in this embodiment, at least one salesperson can be recommended for different target users to facilitate the target users to make choices, thereby providing users with differentiated and personalized services and improving the user experience.

[0075] In order to solve the above technical problems, the embodiment of the present disclosure also provides a salesperson recommendation method. Figure 2 It is a flowchart of a salesperson recommendation method shown according to an exemplary embodiment, which is applied to an electronic device, which may be a smart phone, a server, a smart screen, etc. In addition, the electronic device can be used in different application scenarios, and the following description will take the application of the electronic device in a banking scenario to recommend a salesperson as an example, and the subsequent embodiments will refer to the electronic device as a business terminal. For the convenience of description, the business terminal operated by the target user is referred to as the first business terminal. When the target user can switch to another business terminal to handle business after leaving the first business terminal, the switched business terminal is referred to as the third business terminal to distinguish it from the first business terminal; each salesperson is associated with a business terminal, which is referred to as the second business terminal. The electronic device used by the target user is called a mobile terminal.

[0076] See also Figure 2 , a salesperson recommendation method, comprising steps 21 to 23:

[0077] In step 21, user information of the target user is obtained; the user information includes biometric information and behavioral characteristic information.

[0078] In this embodiment, the solution of step 21 is the same as that of step 11. For details, please refer to the content of step 11, which will not be repeated here.

[0079] In step 22, the type of the target user is determined based on the biometric information; the type includes a first type of user who has handled at least one service or a second type of user who has not handled any service.

[0080] In this embodiment, the solution of step 22 is the same as that of step 12. For details, please refer to the content of step 12, which will not be repeated here.

[0081] In step 23, when the type is the first type of user, the personal information keywords and business information keywords of the target user are obtained based on the biometric information, and at least one recommended salesperson is determined based on the personal information keywords and the business information keywords; or, when the type is the second type of user, the behavioral characteristic keywords of the target user are obtained based on the identity information, and at least one recommended salesperson is determined based on the behavioral characteristic keywords.

[0082] In this embodiment, the solution of step 23 is the same as that of step 13. For details, please refer to the content of step 13, which will not be repeated here.

[0083] In step 24, in response to receiving the graphic code reading request, personal information corresponding to the graphic code is sent to the mobile terminal.

[0084] In this embodiment, after determining at least one recommended salesperson, the processor in the first service terminal may also determine a graphic code corresponding to the salesperson, or a graphic code corresponding to at least one salesperson. The graphic code may be displayed at a specified position of the salesperson's name, such as above, below, left, or right, and the target user may obtain the personal information of a salesperson by scanning the graphic code through a mobile terminal. In other words, the processor may also determine graphic codes corresponding to multiple salespersons, and the graphic codes may be displayed at specified positions of the display area, such as the upper left, lower right, or floating layer, and the target user may obtain the personal information of multiple salespersons by scanning the graphic code through a mobile terminal.

[0085] In this embodiment, the processor in the first service terminal can detect whether a graphic code reading request is received. The graphic code reading request is also used to indicate the identification information of the first service terminal. The graphic code reading request is sent in response to scanning the graphic code displayed on the first service terminal by the mobile terminal. When the graphic code reading request is detected, the processor in the first service terminal can send the personal information corresponding to the graphic code to the mobile terminal. At this time, the target user can view the personal information of the salesperson on the mobile terminal, and can also select one of the salespersons as the target salesperson to handle business for him.

[0086] In step 25, in response to receiving the graphic code reading request, personal information corresponding to the graphic code is sent to the mobile terminal.

[0087] In this embodiment, the processor in the first service terminal can detect whether a salesperson selection request is received, and the salesperson selection request is sent in response to receiving a selection of a target salesperson through the mobile terminal. After the salesperson selection request is detected, the real-time location of the mobile terminal can be obtained. The way to obtain the real-time location includes but is not limited to: requesting the real-time location from the mobile terminal, obtaining the broadcast signal of the mobile terminal and calculating the real-time location of the mobile terminal based on the strength and angle of the broadcast signal and the location of the first service terminal.

[0088] In step 26, the real-time location is sent to the second service terminal associated with the target salesperson. In this way, in this embodiment, by sending the real-time location of the target user to the target salesperson, the target salesperson can know the location of the target user and actively contact the target user; especially after the target user leaves the first service terminal, it is more convenient for the salesperson to confirm the location of the target user, which can save user time and improve the user experience.

[0089] In one embodiment, the target user may leave the first service terminal, at which time the processor of the first service terminal may also calculate the distance between the mobile terminal and the first service terminal. In response to detecting that the distance between the mobile terminal and the first service terminal is greater than or equal to a first threshold value (such as 5 meters), the processor may send a request to switch the service terminal to the mobile terminal. The request to switch the service terminal includes the location information of the third service terminal, and the distance between the mobile terminal and the third service terminal is less than the first threshold value. That is, when the first service terminal detects that the target user is far away, it may send a third service terminal whose distance is less than the first threshold value to the mobile terminal, thereby continuing to provide services to the target user. The target user may choose to switch the service terminal or not switch the service terminal on the mobile terminal, so that the mobile terminal may generate a response to determine to switch the service terminal or a response to determine not to switch the service terminal according to the user's operation. The response to determine to switch the service terminal is used to characterize the confirmation of switching to the third service terminal.

[0090] When the first service terminal receives the confirmation response of switching service terminal, it can send a switching service terminal message to the second service terminal associated with the target salesperson, and the switching service terminal message includes the location information of the third service terminal. In this way, the target salesperson knows the location information of the target user through the second service terminal, which can make the target salesperson know the location of the target user and actively contact the target user; especially after the target user leaves the first service terminal, it is more convenient for the salesperson to confirm the location of the target user, which can save user time and improve the user experience.

[0091] The following describes the above salesperson recommendation method in combination with a scenario where a bank recommends salespersons to users, including:

[0092] Step 1: The user enters a branch bank. When entering the collection area of ​​the branch bank's smart screen (i.e., the first business terminal), the smart screen will collect information such as the user's face, behavior, and clothing to obtain user information.

[0093] Step 2: The smart screen processes the above user information and analyzes whether the user belongs to an in-line user (i.e., the first type of user) or a stranger user (i.e., the second type of user).

[0094] (1) For in-bank users, the processor can analyze the business information (such as loan business, financial products, etc.) that the user has handled in the bank before, combined with personal information (such as star rating, marital status, whether to hold a black gold card, private bank contract logo, etc.). In addition, the processor can also match the efficiency of each salesperson in the salesperson database, familiarity with the user's hobbies, psychology, habits and other data, and match at least one recommended salesperson.

[0095] (2) For unfamiliar users, since there is no personal information belonging to the user in the bank database, the processor can match the user based on the user's face, behavior, clothing (such as whether he is wearing luxury goods), expression (such as happy, unhappy), etc., and at the same time combine each salesperson's age, performance, familiarity with the relevant user group and other information.

[0096] In addition, the processor can also analyze several other information about the salesperson in the system:

[0097] 1) Busy state (0 is idle state, 1 is busy state);

[0098] 2) Busyness level (1: Normally busy, 2: Somewhat busy, 3: Very busy);

[0099] 3) Estimated remaining busy time: If the salesperson is busy, the remaining busy time can be estimated; if he is idle, the remaining busy time is 0;

[0100] 4) The distance between the salesperson and the user; the location of the user and each salesperson is obtained and compared based on the user's real-time location.

[0101] 5) Whether the service has been provided to the user before (0: not provided, 1: provided).

[0102] The processor can match through the above information, and calculate the matching score of each salesperson according to the matching results, such as giving priority to salespeople who have provided services to the user and have higher user evaluation scores, and arranging them in descending order according to the matching scores, that is, the salesperson with higher matching scores is ranked higher, and finally displaying the data on the smart screen in the form of a list. Each salesperson record includes his or her avatar, score, gender, performance, familiar field, busy status, busyness, estimated remaining busy time, distance from the user and other information. In this example, the list contains multiple salespeople who match the user's behavior for the user to choose from, avoiding a single result display. Moreover, since the list results return information such as the salesperson's busy status, busyness, and estimated remaining busy time, if the user wants to choose a salesperson who is still busy, he or she can also consider his or her own situation and the salesperson's information, and consider whether to wait for the salesperson he or she has selected, thereby improving the user experience.

[0103] Step 3: The processor can also generate a graphic code, such as a QR code, for each salesperson or all recommended salespersons. In this way, in addition to being able to view the recommended salesperson directly on the smart screen, the user can also choose to scan the QR code in the display area to view the salesperson's information on the mobile phone, so as not to affect other users' use of the smart screen. At the same time, after the user selects the target salesperson, the processor will synchronize the user information to the target salesperson's business terminal, and the target salesperson can make corresponding preparations based on the user's selection.

[0104] In addition, when the user uses a mobile terminal to scan the code and select the target salesperson, the smart screen can send the real-time location of the user's mobile terminal to the target salesperson's business terminal, so that the target salesperson can understand the user's real-time location and actively contact the user for communication, avoiding the problem of the user not being able to find the target salesperson, saving user time, and providing users with humane services.

[0105] Step 4: After selecting the target salesperson, the smart screen can calculate the distance between itself and the mobile phone. When the distance is greater than or equal to the first threshold (such as 5 meters), the smart screen can send a business processing inquiry to the mobile phone to inquire whether the user continues to process the business.

[0106] If the user chooses to continue, the user's location can be obtained and synchronized to the target salesperson's business terminal. If the user chooses not to proceed, the connection between the mobile phone and the smart screen can be disconnected, and a message to end the business can be sent to the target salesperson's business terminal.

[0107] Step 5: If the user chooses to continue the service, the smart screen can send a service terminal switching request to the user's mobile phone. The user can check the location of other smart screens included in the service terminal switching request on the mobile phone, and the distance between the other smart screens and the mobile phone is less than the first threshold.

[0108] After receiving the response confirming the switching of the service terminal, the smart screen switches to the smart screen closest to the user's mobile phone, and sends a switching service terminal message to the target salesperson's business terminal. The switching service terminal message includes the location information of the switched smart screen.

[0109] Step 6: After selecting a suitable salesperson, the user can handle the business. After the business is completed, the user can evaluate the target salesperson, and the smart screen can receive the evaluation data uploaded by the user's mobile terminal. This can prevent the salesperson from interfering with the user's real scoring and improve the accuracy of the review data.

[0110] The disclosed embodiment also provides a salesperson recommendation device, Figure 3 The present invention is a block diagram of a salesperson recommendation device according to an exemplary embodiment, which is applied to a first business terminal, and the first business terminal can be a smart phone, a server, a smart screen, etc. Figure 3 , a salesperson recommendation device, comprising:

[0111] The information acquisition module 31 is used to acquire user information of the target user; the user information includes biometric information and behavioral characteristic information;

[0112] A type acquisition module 32, configured to determine the type of the target user based on the biometric information; the type includes a first type of user representing a user who has handled at least one service or a second type of user representing a user who has not handled any service;

[0113] The salesperson recommendation module 33 is used to obtain the personal information keywords and business information keywords of the target user according to the biometric information when the type is the first type of user, and determine at least one recommended salesperson based on the personal information keywords and the business information keywords; or, when the type is the second type of user, obtain the behavioral characteristic keywords of the target user according to the identity information, and determine at least one recommended salesperson based on the behavioral characteristic keywords.

[0114] In one embodiment, the device further comprises:

[0115] The graphic code determination module is used to determine the graphic code corresponding to the salesperson, and the graphic code is used to instruct the target user to obtain the salesperson's personal information by scanning the graphic code.

[0116] In one embodiment, the device further comprises:

[0117] a personal information sending module, configured to send personal information corresponding to the graphic code to the mobile terminal in response to receiving a graphic code reading request, wherein the graphic code reading request is further configured to indicate identification information of the first service terminal, and the graphic code reading request is sent in response to scanning the graphic code displayed on the first service terminal by the mobile terminal;

[0118] A real-time location acquisition module, configured to acquire the real-time location sent by the mobile terminal in response to receiving a salesperson selection request, wherein the salesperson selection request is sent in response to receiving a selection of a target salesperson through the mobile terminal;

[0119] The real-time location sending module is used to send the real-time location to the second business terminal associated with the target salesperson.

[0120] In one embodiment, the device further comprises:

[0121] A location information acquisition module, used to acquire the location information of the first service terminal and calculate the distance between the mobile terminal and the first service terminal;

[0122] A service inquiry sending module, configured to send a service handling inquiry to the mobile terminal in response to detecting that the distance between the mobile terminal and the first service terminal is greater than or equal to a first threshold, wherein the service handling inquiry is used to inquire the user whether to continue handling the service;

[0123] and / or,

[0124] a service request sending module, configured to send a service terminal switching request to the mobile terminal in response to detecting that the distance between the mobile terminal and the first service terminal is greater than or equal to a first threshold, wherein the service terminal switching request includes location information of a third service terminal, and the distance between the mobile terminal and the third service terminal is less than the first threshold;

[0125] The service response receiving module is used to send a service terminal switching message to the second service terminal associated with the target salesperson in response to receiving a service terminal switching confirmation response, wherein the service terminal switching response is used to indicate confirmation of switching to the third service terminal, and the service terminal switching message includes location information of the third service terminal.

[0126] In one embodiment, the device further comprises:

[0127] A user information sending module, configured to send the target user's information to the target salesperson in response to detecting a salesperson selection request; the salesperson selection request is sent in response to receiving a selection of a target salesperson through a mobile terminal;

[0128] When the target user is a first type of user, the target user information includes the target user's biometric information and identity information corresponding to the biometric information, or when the target user is a second type of user, the target user information is user information.

[0129] It is understandable that the device provided in the embodiment of the present disclosure corresponds to the above method. For the specific content, reference can be made to the content of each embodiment of the method, which will not be repeated here.

[0130] In an exemplary embodiment, a naked eye stereoscopic display device is also provided, comprising:

[0131] processor;

[0132] a memory for storing a computer program executable by the processor;

[0133] The processor is configured to execute the computer program in the memory to implement the following Figure 1 or Figure 2 The steps of the method.

[0134] In an exemplary embodiment, a non-transitory readable storage medium including an executable computer program, such as a memory including instructions, is also provided. The executable computer program can be executed by a processor to implement the following. Figure 1 or Figure 2The steps of the method. The readable storage medium may be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0135] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the disclosure disclosed herein. The present disclosure is intended to cover any variations, uses, or adaptations that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The description and examples are to be considered exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0136] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A salesperson recommendation method, characterized in that: include: Get the user information of the target user; The user information includes biometric information and behavioral characteristic information; Determine the type of the target user based on the biometric information; the type includes a first type of user who has handled at least one service or a second type of user who has not handled any service; When the type is the first type of user, personal information keywords and business information keywords of the target user are obtained according to the biometric information, and at least one recommended salesperson is determined according to the personal information keywords and the business information keywords; or, when the type is the second type of user, behavioral feature keywords of the target user are obtained according to the user information, and at least one recommended salesperson is determined according to the behavioral feature keywords; Determine a graphic code corresponding to the salesperson, wherein the graphic code is used to instruct the target user to obtain the salesperson's personal information by scanning the graphic code; In response to receiving a graphic code reading request, sending personal information corresponding to the graphic code to the mobile terminal, the graphic code reading request is also used to indicate identification information of the first service terminal, and the graphic code reading request is sent in response to scanning the graphic code displayed on the first service terminal by the mobile terminal; In response to receiving a salesperson selection request, acquiring the real-time location sent by the mobile terminal, wherein the salesperson selection request is sent in response to receiving a selection of a target salesperson through the mobile terminal; The real-time location is sent to a second service terminal associated with the target salesperson.

2. The method according to claim 1, characterized in that: The method further comprises: Acquire the location information of the first service terminal, and calculate the distance between the mobile terminal and the first service terminal; In response to detecting that the distance between the mobile terminal and the first service terminal is greater than or equal to a first threshold, sending a service handling inquiry to the mobile terminal, wherein the service handling inquiry is used to inquire whether the user continues to handle the service; and / or, In response to detecting that the distance between the mobile terminal and the first service terminal is greater than or equal to a first threshold, sending a service terminal switching request to the mobile terminal, wherein the service terminal switching request includes location information of a third service terminal, and the distance between the mobile terminal and the third service terminal is less than the first threshold; In response to receiving a confirmation switching service terminal response, a switching service terminal message is sent to the second service terminal associated with the target salesperson, the switching service terminal response is used to indicate confirmation of switching to the third service terminal, and the switching service terminal message includes location information of the third service terminal.

3. The method according to claim 1, characterized in that The method further comprises: In response to detecting a salesperson selection request, sending the target user's information to a target salesperson; the salesperson selection request is sent in response to receiving a selection of a target salesperson through a mobile terminal; When the target user is a first type of user, the target user information includes the target user's biometric information and identity information corresponding to the biometric information, or when the target user is a second type of user, the target user information is user information.

4. A salesperson recommendation device, characterized in that: include: An information acquisition module is used to obtain user information of a target user; The user information includes biometric information and behavioral characteristic information; A type acquisition module, used to determine the type of the target user based on the biometric information; the type includes a first type of user who has handled at least one service or a second type of user who has not handled any service; a salesperson recommendation module, for, when the type is the first type of user, obtaining the personal information keywords and the business information keywords of the target user according to the biometric information, and determining at least one recommended salesperson according to the personal information keywords and the business information keywords; or, when the type is the second type of user, obtaining the behavioral feature keywords of the target user according to the user information, and determining at least one recommended salesperson according to the behavioral feature keywords; The device also includes: A graphic code determination module, used to determine a graphic code corresponding to a salesperson, wherein the graphic code is used to instruct a target user to obtain the salesperson's personal information by scanning the graphic code; a personal information sending module, configured to send personal information corresponding to the graphic code to the mobile terminal in response to receiving a graphic code reading request, wherein the graphic code reading request is further configured to indicate identification information of the first service terminal, and the graphic code reading request is sent in response to scanning the graphic code displayed on the first service terminal by the mobile terminal; A real-time location acquisition module, configured to acquire the real-time location sent by the mobile terminal in response to receiving a salesperson selection request, wherein the salesperson selection request is sent in response to receiving a selection of a target salesperson through the mobile terminal; The real-time location sending module is used to send the real-time location to the second business terminal associated with the target salesperson.

5. The device according to claim 4, characterized in that The device also includes: A location information acquisition module, used to acquire the location information of the first service terminal and calculate the distance between the mobile terminal and the first service terminal; A service inquiry sending module, configured to send a service handling inquiry to the mobile terminal in response to detecting that the distance between the mobile terminal and the first service terminal is greater than or equal to a first threshold, wherein the service handling inquiry is used to inquire the user whether to continue handling the service; and / or, a service request sending module, configured to send a service terminal switching request to the mobile terminal in response to detecting that the distance between the mobile terminal and the first service terminal is greater than or equal to a first threshold, wherein the service terminal switching request includes location information of a third service terminal, and the distance between the mobile terminal and the third service terminal is less than the first threshold; The service response receiving module is used to send a service terminal switching message to the second service terminal associated with the target salesperson in response to receiving a service terminal switching confirmation response, wherein the service terminal switching response is used to indicate confirmation of switching to the third service terminal, and the service terminal switching message includes location information of the third service terminal.

6. The device according to claim 4, characterized in that The device also includes: A user information sending module, configured to send the target user's information to a target salesperson in response to detecting a salesperson selection request; the salesperson selection request is sent in response to receiving a selection of a target salesperson via a mobile terminal; When the target user is a first type of user, the target user information includes the target user's biometric information and identity information corresponding to the biometric information, or when the target user is a second type of user, the target user information is user information.

7. An electronic device, characterized in that: include: processor; a memory for storing a computer program executable by the processor; The processor is configured to execute the computer program in the memory to implement the method according to any one of claims 1 to 3.

8. A computer-readable storage medium, characterized in that: When the executable computer program in the storage medium is executed by a processor, the method according to any one of claims 1 to 3 can be implemented.

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