CN111667303A

CN111667303A - Intelligent order generation method, device, equipment and medium

Info

Publication number: CN111667303A
Application number: CN202010434303.XA
Authority: CN
Inventors: 樊星; 谢明喜
Original assignee: Shanghai Yixue Education Technology Co Ltd
Current assignee: Shanghai Yixue Education Technology Co Ltd
Priority date: 2020-05-21
Filing date: 2020-05-21
Publication date: 2020-09-15

Abstract

The application relates to an intelligent order generation method, an intelligent order generation device, an intelligent order generation equipment and an intelligent order generation medium. The method comprises the following steps: respectively acquiring user data of different user objects from more than one data source; screening corresponding user objects according to the user data, and taking the user objects with the application user data meeting screening conditions as candidate objects; establishing a user database based on the user data of the candidate objects acquired from each data source; polling each candidate object in a user database, establishing a first session link between the customer service robot and the candidate object according to the communication number of the corresponding candidate object for each candidate object, and acquiring first voice data of the candidate object through the first session link; and identifying the first voice data, screening out a target object from the candidate objects according to an identification result, and generating a course order corresponding to the target object. By adopting the method, the efficiency of generating the course order can be improved.

Description

Intelligent order generation method, device, equipment and medium

Technical Field

The present application relates to the field of computer technologies, and in particular, to an intelligent order generation method, apparatus, device, and medium.

Background

Course trading is a common transaction in daily life. Firstly, a commercial tenant needs to promote and sell a course, and when someone needs to buy the course, the commercial tenant generates a corresponding course order. The existing method for generating a course order mainly includes that in an online physical store, staff of the physical store pushes one by one to students or parents who pass by or enter the physical store, and when the students or the parents need to purchase the course, the staff of the physical store manually generates a corresponding course order.

However, with the existing method of generating a course order, the staff of the brick and mortar store needs to promote a large number of customers one by one and manually generate the corresponding course order. Due to the large number of customers and the manual handling of each course order, a large amount of time and labor is often spent, but a small number of course orders are generated, and thus there is a problem in that the efficiency of generating the course orders is low.

Disclosure of Invention

In view of the foregoing, it is desirable to provide an intelligent order generation method, apparatus, device and medium capable of improving efficiency.

An intelligent order generation method, the method comprising:

respectively acquiring user data of different user objects from more than one data source; the user data comprises at least one of a user name, a communication number, course requirement information and user intention;

screening corresponding user objects according to the user data, and taking the user objects with the application user data meeting screening conditions as candidate objects;

establishing a user database based on the user data of the candidate object obtained from each data source;

polling each candidate object in the user database, establishing a first session link between the customer service robot and each candidate object according to the communication number of the corresponding candidate object for each candidate object, and acquiring first voice data of the candidate object through the first session link;

and identifying the first voice data, screening out a target object from the candidate objects according to an identification result, and generating a course order corresponding to the target object.

An intelligent order generation apparatus, the apparatus comprising:

the acquisition module is used for respectively acquiring the user data of different user objects from more than one data source; the user data comprises at least one of a user name, a communication number, course requirement information and user intention;

the screening module is used for screening corresponding user objects according to the user data and taking the user objects of which the corresponding user data meets screening conditions as candidate objects;

the establishing module is used for establishing a user database based on the user data of the candidate objects acquired from each data source;

the voice module is used for polling each candidate object in the user database, establishing a first session link between the customer service robot and each candidate object according to the communication number of the corresponding candidate object for each candidate object, and acquiring first voice data of the candidate object through the first session link;

and the generation module is used for screening out a target object from the candidate objects according to a recognition result by recognizing the first voice data and generating a course order corresponding to the target object.

A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:

A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:

According to the intelligent order generation method, the intelligent order generation device, the intelligent order generation equipment and the intelligent order generation medium, the user data of different user objects are respectively obtained from more than one data source, the user objects are preliminarily screened according to the screening conditions, the user objects which do not accord with the screening conditions can be preferentially screened, and therefore the corresponding candidate objects are determined. The candidate objects are polled, so that the candidate objects establish a first session link with the customer service robot, first voice data of the corresponding candidate objects are obtained through the first session link, target objects are screened out according to the recognition result of the first voice data, namely students or parents who really want to buy the education course are screened out automatically, and course orders corresponding to the students or the parents are generated. By the method, multiple screening is performed on the users, the users with the actual purchasing intention can be determined, and the accuracy of the customer population is ensured. Moreover, voice communication is not needed to be carried out on all users manually, so that a large amount of labor cost and time cost are saved, and the efficiency of generating course orders is greatly improved.

Drawings

FIG. 1 is a diagram of an application environment of an intelligent order generation method in one embodiment;

FIG. 2 is a schematic flow chart diagram illustrating a method for intelligent order generation in one embodiment;

FIG. 3 is a schematic flow chart diagram illustrating a method for intelligent order generation in another embodiment;

FIG. 4 is a schematic flow chart diagram illustrating a method for intelligent order generation in yet another embodiment;

FIG. 5 is a block diagram of an intelligent order generation apparatus in one embodiment;

FIG. 6 is a block diagram showing the structure of an intelligent order generating apparatus according to another embodiment;

FIG. 7 is a diagram illustrating an internal structure of a computer device according to an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

The intelligent order generation method provided by the application can be applied to the application environment shown in fig. 1. Wherein the data platform 110 communicates with the customer management system 120 over a network. The customer management system 120 is implemented by a computer device, which may specifically be a terminal 121 and/or a server 122. The terminal 121 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 122 may be implemented by an independent server or a server cluster formed by a plurality of servers. The data platforms 110 may be specifically data platforms such as websites, search engines, applications, and promotion information, and the number of the data platforms 110 may be one or more, and is used to provide user data of different user objects.

It is understood that the computer device obtains user data of different user objects from more than one data platform 110, respectively, the user data including at least one of a user name, a communication number, course requirement information, and a user intention. And the computer equipment screens the corresponding user objects according to the user data and takes the user objects with the user data meeting the screening conditions as candidate objects. Based on the user data of the candidate object obtained from each data source, the computer device establishes a user repository. The computer equipment polls each candidate object in the user database, establishes a first conversation link between the customer service robot and the candidate object according to the communication number of the corresponding candidate object for each candidate object, and acquires first voice data of the candidate object through the first conversation link. And the computer equipment identifies the first voice data, screens out the target object from the candidate objects according to the identification result and generates a course order corresponding to the target object.

In an embodiment, as shown in fig. 2, an intelligent order generating method is provided, which is described by taking an example that the method is applied to a computer device in fig. 1, where the computer device may specifically be the terminal 121 or the server 122 in fig. 1, and the intelligent order generating method includes the following steps:

s202, respectively acquiring user data of different user objects from more than one data source; the user data includes at least one of a user name, a communication number, course requirement information, and a user intention degree.

The user object may be a natural person, or may be a data object corresponding to the natural person and processable by the computer device. The natural person may be a student or a parent. The data source is a data source, such as a website, a search engine, an application program, promotion information and other data platforms. The website may be specifically an educational institution website such as a squirrel AI (Artificial Intelligence) educational website and an influ educational website, the search engine may be specifically an engine such as a hundred degrees, google and firefox, the application program may be specifically a program such as tremble, happy hand and WeChat, and the promotion information may be specifically information such as advertisement, newspaper and leaflet.

The user data is data related to the user, such as the user name, age, communication number, location, course requirement information, and user intention. The course requirement information refers to whether the user has a requirement for purchasing a course, such as whether the user is a student or a parent, and the course category of the reading grade and tendency of the student. The user intention degree refers to the degree of willingness of the user to purchase the course, for example, the user consults the education course on the website of the education institution once and leaves a communication number, which indicates that the user intention degree of the user is high.

Specifically, the computer device obtains user data of different user objects from different data sources through interfaces interfacing with the different data sources. The computer device is a system for managing user data of a user object, and is used for achieving functions of acquiring the user data, performing voice recognition, controlling a customer service robot, generating a course order, recording after-sales information and the like.

In one embodiment, the computer device interfaces with multiple channels such as an educational institution official website, Baidu, tremble and advertisement respectively, and acquires information such as user name, age, hobbies, work address, school information, communication number, course requirement information and user intention of different user objects respectively.

In one embodiment, a computer device supports importing user data for different user objects. For example, the operator may import the collected user data of different user objects into the computer device.

In one embodiment, a local computer device receives files uploaded by other computer devices that contain user data for different students and parents, such as files in the format of doc, xls, csv, txt, or the like. The local computer equipment can acquire the user names, ages, hobbies, working addresses, school information, communication numbers, course requirement information, user intention and other information of different students and parents by analyzing the file.

It should be noted that the intelligent order generation method may be executed by a customer management system, where the customer management system is implemented by a computer device, and the computer device may specifically be a terminal and/or a server.

S204, screening the corresponding user objects according to the user data, and taking the user objects of which the corresponding user data meets the screening conditions as candidate objects.

The filtering condition is a condition for filtering out a candidate object from the user object, and the filtering condition may specifically be a condition with a high course requirement degree or a high user intention degree. The candidate object is a user object meeting the filtering condition, that is, the candidate object is an object having a requirement or intention for purchasing the course in the user object.

In an embodiment, after the computer device obtains the user data of different user objects, the user objects are sorted according to the situation of the course requirement information in the user data, and the computer device automatically screens the user objects with high course requirement, for example, the user objects are screened to be students or parents.

In one embodiment, after the computer device obtains the user data of different user objects, the user objects are sorted from high to low according to the user intention in the user data, so that the computer device automatically screens the user objects with high user intention, such as a student or a parent who wants to purchase a course.

In one embodiment, when the computer device automatically filters out candidate objects with high course requirement degree or high user intention degree, the computer device marks the candidate objects. The labeling manner may be labeled with different colors, for example, the candidate object is highlighted by a bright color such as red or yellow. The labeling mode may also be a mode of displaying the user data corresponding to the candidate object in a bold manner. The embodiment of the present application does not limit this.

In one embodiment, the computer device may assign different user data to corresponding course sellers based on a source channel or location to which the user data corresponds, such as a home location of a user communication number or location information included in the user data. The course salesman dials the user communication number to communicate with the user primarily, so as to perform primary screening on the user.

In one embodiment, after the course seller has conducted the preliminary communication, the course seller may mark the intention degree and the course requirement degree of the user, for example, sort the user according to the intention degree or the course requirement degree from high to low, so as to screen the user who has students in the family or who currently has the intention to purchase the training course.

S206, establishing a user database based on the user data of the candidate objects acquired from each data source.

Wherein, the user database is the collection of the data of each candidate object. The user database may be a summarized file, such as a file in doc, xls, csv, txt, or the like. Alternatively, the user repository may be a specially established database. The embodiment of the present application does not limit this.

In one embodiment, step S206, namely the step of establishing a user database based on the user data of the candidate object obtained from each data source, specifically includes: determining user data of the candidate object obtained at each data source, and eliminating non-relevant data in the user data of the candidate object to obtain candidate data; and carrying out data alignment processing on the candidate data, and establishing a user database according to the aligned candidate data.

In one embodiment, the computer device determines the user data of the candidate object after screening the candidate object. And the computer equipment carries out cleaning processing on the obtained user data of the candidate object. The cleaning process is to remove irrelevant data, such as preference information irrelevant to the course or time information of user login, from the user data of the candidate object. And the computer equipment takes the user data with the irrelevant data removed as candidate data corresponding to the candidate object. That is, candidate data retained by the computer device, such as the user's user name, age, communication number, location, course requirement information, and user intention, are information that has a certain value for the course.

In one embodiment, the computer device assigns a corresponding identifier to each candidate, such as candidate A, candidate B, candidate C …, and so on. The computer device associates the user data with each candidate object with the corresponding identification.

In one embodiment, after the computer device screens candidate data, the data alignment processing is performed on the candidate data. For example, a candidate a registers information at different data sources, but uses different communication numbers twice, so that two phone numbers of the candidate a can be aligned and both correspond to candidate data of the candidate a.

In one embodiment, after the computer device screens candidate data, the candidate data is subjected to integration processing. For example, user data is registered for a candidate object a multiple times, but the user data registered each time is not identical, so that the user data of each time can be integrated into one piece of user data, which all correspond to the candidate data of the candidate object a.

In one embodiment, the computer device aggregates and stores candidate data for the candidate objects to establish a corresponding user repository.

In the above embodiment, the computer device removes the non-relevant data from the user data of the candidate object to obtain the candidate data, and establishes the user database according to the aligned candidate data. In this manner, the computer device may retain only candidate data associated with the course, saving storage resources. Moreover, the computer equipment aligns the similar data of the same user object, so that repeated processing is avoided, and the efficiency of subsequently generating the course order according to the candidate data is ensured.

S208, polling each candidate object in the user database, establishing a first conversation link between the customer service robot and the candidate object according to the communication number of the corresponding candidate object for each candidate object, and acquiring first voice data of the candidate object through the first conversation link.

Wherein the session link is a link for transmitting session data. The session may be a voice call or an information communication. The corresponding session data may thus be voice data or text data. The first session link is a link for transmitting first voice data between the service robot and the candidate object. The voice data is also the sound, and the first voice data is the sound of the candidate in the initial session communication. The preliminary session communication is the session communication between the customer service robot and the candidate object.

The customer service robot is non-artificial intelligent customer service, and the output mode of the customer service robot is controlled through a preset speech technology. The preset dialect is a preset mode for controlling the output content of the customer service robot. Such as preset dialogs, may be used to answer some common questions.

In one embodiment, the step S208 of polling the candidate objects in the user profile, for each candidate object, establishing a first session link between the service robot and the candidate object according to the communication number of the corresponding candidate object, and acquiring the first voice data of the candidate object through the first session link specifically includes: polling each candidate object in a user database, and establishing a first session link between the customer service robot and each candidate object according to the communication number of the corresponding candidate object for each candidate object; determining communication content corresponding to the candidate object, and controlling the customer service robot to perform preliminary session communication with the candidate object through the communication content; the communication content is matched with the data source corresponding to the candidate object; in the preliminary session communication process, first voice data of the candidate object is acquired in real time through the first session link.

In one embodiment, the computer device establishes a first session link between the service robot and the candidate object based on the communication number of the candidate object. Wherein each user object or each communication number corresponds to a first session link. The customer service robot may process one or more first session links simultaneously, which is determined by the performance of the customer service robot, which is not limited in this application.

In one embodiment, the computer device determines the communication content corresponding to the candidate object from the preset communication content, for example, if the candidate data of the candidate object is from a website of an education institution, the communication content needs to include a name and brief information of the website of the education institution, so that when the customer service robot communicates with the candidate object through the communication content, the customer service robot can indicate a fortunes as soon as possible to ensure smooth communication. The preset communication content is preset content used for communicating with the candidate object. The preset communication content can also determine the sequence of the output content or adjust the word sequence of the output content according to the preset dialect.

In one embodiment, the computer device determines, according to the user name in the candidate data and the course trend information in the course demand information, communication content corresponding to the candidate object from preset communication content, for example, the communication content is a specific course introduced in a targeted manner, so that when the customer service robot communicates with the candidate object through the communication content, the customer service robot can effectively introduce the course information to ensure the communication efficiency.

In one embodiment, when the customer service robot and the candidate object perform preliminary communication through the first session link, the computer device acquires first voice data of the candidate object in real time through the first session link. The first voice data acquired by the computer equipment is used for screening the candidate objects again.

In the above embodiment, the computer device establishes, for each candidate object, a first session link between the customer service robot and the corresponding candidate object, determines communication contents corresponding to the customer service robot and the candidate object, and acquires the first voice data of the candidate object in real time during an initial session communication process between the customer service robot and the candidate object. In such a way, the computer equipment can acquire the first voice data of the candidate objects in real time through the customer service robot without manually processing each candidate object, so that a large amount of labor cost and time cost are saved, and the efficiency of subsequently generating the course orders is ensured.

S210, the first voice data are recognized, target objects are screened out from the candidate objects according to recognition results, and course orders corresponding to the target objects are generated.

Wherein the recognition result is the recognized user answer. And the target object is screened from the candidate objects, and the recognition result meets a preset result, for example, the preset result includes a preset text in the recognition result. Preset text such as "good", "can understand", "not use", and "thanks" etc.

The course order is an order related to the course, and the course order specifically includes order user information, course information, payment information, and the like. User information such as user name, phone number, and grade; course information such as course name, course content, course time, and course hours; payment information such as the amount of money the user needs to pay to learn the course. Wherein the target order is an unpaid course order.

In one embodiment, when the computer device recognizes a preset text, such as text information of "good" or "understandable" or the like, in the first speech data of the candidate object, the computer device takes the candidate object as the target object. At the same time, the computer device switches the first session link to the second session link. Wherein the second session link is a manual call link, such as a link for the course salesperson to perform a confirmation session communication with the target object.

In one embodiment, the computer device obtains second voice data of the target object in real time through the second session link. Wherein the second voice data is the voice of the course salesperson in conversation communication with the target object. When the course salesperson confirms that the target object purchases the course, the course salesperson is responsible for placing an order on the computer device, and takes the order generated on the computer device as the target order.

In one embodiment, when the computer device detects that the target user completes payment operation on the target order, the target order in the paid state is taken as the course order.

In the intelligent order generation method, the user data of different user objects are respectively obtained from more than one data source, and the user objects are preliminarily screened according to the screening conditions, so that the user objects which do not accord with the screening conditions can be preferentially screened, and the corresponding candidate objects are determined. The candidate objects are polled, so that the candidate objects establish a first session link with the customer service robot, first voice data of the corresponding candidate objects are obtained through the first session link, target objects are screened out according to the recognition result of the first voice data, namely students or parents who really want to buy the education course are screened out automatically, and course orders corresponding to the students or the parents are generated. By the method, multiple screening is performed on the users, the users with the actual purchasing intention can be determined, and the accuracy of the customer population is ensured. Moreover, voice communication is not needed to be carried out on all users manually, so that a large amount of labor cost and time cost are saved, and the efficiency of generating course orders is greatly improved.

In an embodiment, the step S210, namely, the step of identifying the first voice data, screening out a target object from the candidate objects according to the identification result, and generating a course order corresponding to the target object, specifically includes: when a preset text is identified in the first voice data of the candidate object, taking the candidate object as a target object; switching the first session link to a second session link for confirmation session communication with the target object; acquiring second voice data of the target object through a second session link, and generating a corresponding target order according to the received confirmation information in the second voice data; when the resource transfer operation is completed based on the target order, the target order is converted into a course order.

The resource transfer operation refers to the completion of the payment operation of the target order by the target user in the order system. The order system is a system for effecting payment of a target order.

In one embodiment, the computer device also has speech recognition capabilities. And the computer equipment identifies the first voice data of the candidate object to obtain a corresponding identification result. When the recognition result is the same as or close to the preset text, for example, the computer device recognizes text information such as "good" or "ok", the computer device takes the candidate object as the target object.

In one embodiment, when the computer device recognizes the first voice data of the candidate object and recognizes the text information such as "not possible" or "not needed", the computer device may collect the user suggestion for the candidate object by calling the customer service robot. The user suggestions include reasons why the user is not interested in the course, and the course salesperson can accumulate experience from the user suggestions, so that the preparation is more sufficient when the user database is established.

In one embodiment, the computer device also has a link switching function. The computer device switches the first session link to the second session link. The target user is thus followed by the course salesperson, i.e., human customer service.

In one embodiment, the computer device obtains second voice data of the target object in real time through the second session link. Wherein the voice data is also the voice, and the second voice data is the voice of the target object in the communication of the confirmation session. The confirmation session communication is a session communication between the course seller and the target object. Such as the course seller communicating with the target object through a computer device, or the course seller communicating with the target object through other devices, such as a landline telephone.

In one embodiment, in the validation session communication between the course seller and the target object, when the course seller confirms that the target object purchases the course, the course seller may be responsible for placing the order on the computer device and taking the order generated on the computer device as the target order.

In one embodiment, the course salesperson may feed back the target order generated on the computer device to the target user, such as by sending it to the target object in the form of an email or text message. And when the target object confirms that the information of the target order is accurate and correct, the computer equipment is in butt joint with the order system. The user may make payment through the ordering system, such as by transferring money, remitting money, or scanning the two-dimensional code.

In one embodiment, after the user completes payment of the target order in the ordering system, the ordering system may generate a completion signal instructing the computer device to adjust the status of the target order to be paid, at which point the computer device may generate a course order corresponding to the target object.

In the above embodiment, the computer device screens out the target object according to the recognition result of the first voice data, and generates the course order corresponding to the target object by switching to the second session link and the received confirmation information. In this way, the computer device can automatically screen out students or parents who really want to purchase the education course, and the accuracy of the client population is guaranteed. Moreover, voice communication is not needed to be carried out on all users manually, so that a large amount of labor cost and time cost are saved, and the efficiency of generating course orders is greatly improved.

In an embodiment, after step S210, the intelligent order generating method further includes a step of obtaining the course content matched with the course order, where the step of obtaining the course content matched with the course order specifically includes: acquiring course information corresponding to the course order; the course information comprises at least one of subject information, grade information, course quantity information and course time information of the target object; and acquiring the matched course content based on the course information, and feeding back the course content to the corresponding target object.

In one embodiment, after the computer device generates the course order, the computer device may conduct a trial-listening offer with the target object. The computer device acquires course information corresponding to the course order, such as subject information, grade information, course quantity information, course time information and the like of the target object.

In one embodiment, the computer device interfaces with an ERP (Enterprise Resource Planning) system, so that after-sales curriculum staff can query teachers' course arrangement from the ERP system through the computer device to determine the available time of each teacher. For example, after-sales curriculum staff can screen and inquire the age, personal introduction, lesson content, lesson style and other information of each teacher from the calendar.

In one embodiment, after-sale personnel of the course screen teachers with free time in the ERP system through computer equipment to obtain teachers matched with the course information corresponding to the course orders, and the teachers are used as teachers for audition of the course. And when the course after-sales personnel determine to listen to the course teacher, the course after-sales personnel mark the time period of listening to the course teacher as the time of listening to the course.

In one embodiment, the computer device may automatically search the ERP system for the matching auditor according to the course information corresponding to the course order, so that the computer device realizes the function of automatically allocating the corresponding auditor to the target object.

In one embodiment, after-sales curriculum staff sends the personal profile or curriculum content of the qualified teacher to the target object in advance through the computer device, so that the target object can know the class content of the listening teacher in advance and can perform pre-learning.

In one embodiment, if the target object is not satisfied with the lesson content or the lesson form of the lesson teacher, the target object may feed the opinions back to the lesson after-sales personnel, such as sending the opinions to the lesson after-sales personnel by mail, short message or telephone, so that the lesson after-sales personnel may re-assign the appropriate lesson or lesson content to the target object.

In one embodiment, when the target object is satisfied with the trial listening lesson, the computer device may associate the teacher of the trial listening lesson as a subsequent teacher in common, such as associating the teacher of the trial listening lesson with the target object, and arrange lessons for the target object according to the lesson information in the lesson order of the target object.

In the above embodiment, the computer device obtains the course information corresponding to the course order and the matched course content, and feeds back the course content to the corresponding target object. In such a way, after-sales personnel of the course can distribute corresponding teachers and course contents for all students through computer equipment, and after-sales service of the course order is guaranteed through follow-up of the course order.

In one embodiment, the intelligent order generation method further includes a step of generating a course management task, where the step of generating the course management task specifically includes: generating a course management task corresponding to the course order; the course management task is used for managing and controlling the progress of the course content of the target object; the course management task comprises a first reminding time point corresponding to the course content, reminding information and feedback information; when the first reminding time point is reached, reminding information is sent to a terminal corresponding to the target object according to the course management task; the reminding information is used for reminding the target object to play the course content; when the course content is played, sending feedback information to a terminal corresponding to the target object according to the course management task; the feedback information is used to collect the satisfaction of the target object with the content of the lesson.

In one embodiment, a computer device may generate course management tasks corresponding to respective course orders. The course management task is used for managing and controlling the progress of the course content of the target object in the course order.

In one embodiment, the course management task includes a first reminder time point. The first reminding time point is used for reminding the target object to play the corresponding course content. The first reminder time point may be a specific time point, such as 18 points on 2/1/2020. When 18 o' clock of 2/1/2020 arrives, the computer device sends a reminding message to the terminal corresponding to the target object according to the course management task.

In one embodiment, the computer device sends the reminding information to the terminal corresponding to the target object according to the course management task, for example, according to the class schedule of the target object, the reminding information is sent to the target object 10 minutes before the beginning of each course. The reminder information includes, for example, "the course content is about to start" and the like. The sending mode of the reminding information is, for example, a mail mode or a short message mode.

In one embodiment, when the course management task is completed, that is, after the course content playing of each course is finished, the computer device sends feedback information to the terminal corresponding to the target object to obtain the return visit situation of the relevant course. Such as sending a questionnaire that is used to collect, to the target subject, information about the course, such as the satisfaction of the course, the satisfaction of the teacher, or suggestions of the content of the course.

In one embodiment, the computer device may track the after-market situation in real-time. The computer device assigns a teacher to the target object corresponding to the course order, and schedules the course according to the time situation of the teacher and the course time of the target object. For example, the computer device assigns teachers matching with the course subject information, the grade information, the course quantity information and the course time information in the course order to the target object, and determines the effective time condition of the matched teachers. When the effective time condition of the teacher is matched with the effective time of the target object, namely the course time information, the computer equipment judges that the target object is successfully matched with the teacher, and inserts the corresponding course information into the respective course table, thereby realizing automatic course arrangement.

In the above embodiment, the computer device generates the course management task corresponding to the course order, and sends the reminding information or the feedback information according to the completion progress of the course management task. By the mode, the computer equipment can control the course content progress of the target object for placing the order, follow up the course content progress in real time, and ensure the after-sale service of the target object corresponding to the course order.

In one embodiment, the intelligent order generation method further includes generating a session communication task, where the step of generating the session communication task specifically includes: generating a session communication task corresponding to each candidate object in a user database; the session communication task is used for managing and controlling the session communication progress of the candidate object; the session communication task comprises a second reminding time point; when the task state of the session communication task is in an unprocessed state and a second reminding time point is reached, triggering a corresponding reminding action; when the session communication task is completed, the task state of the session communication task is adjusted to be a processed state.

In one embodiment, the computer device may assign different candidate objects to corresponding course sellers based on the source channel or location corresponding to each candidate object in the user database, such as the attribution or location information of the user's communication number. The computer device generates a sales task corresponding to each course salesperson. Wherein, the sales task of a course seller is the session communication task of all candidate objects which are responsible for the course seller. The conversation communication task is a task of conversation communication with the candidate object. Such as communicating by telephone or text message. And the session communication task is used for managing and controlling the session communication progress of the candidate object.

In one embodiment, the session orchestration task includes a second reminder time point. And the second reminding time point is used for reminding the course salesman to carry out conversation communication with the corresponding candidate object. The second reminder time point may be a specific time point, such as 15 points on 1 month 1 day of 2020. When 15 o' clock of 1/2020 arrives and the task state of the session communication task is still in an unprocessed state, the computer device triggers a corresponding reminding action.

In one embodiment, the computer device may trigger the corresponding reminding action to automatically pop up a preset popup window, where the preset popup window may include information prompting that the candidate object a is not processed for a long time, and the like; the reminding action can also be automatically playing a section of prompt tone; the reminding action may also be to highlight each conversation communication task in an unprocessed state, such as marking in a color of red or yellow. The embodiment of the present application does not limit this.

In one embodiment, when the session communication task is completed, the computer device adjusts the task state of the session communication task to a processed state.

In one embodiment, the computer device communicates a second reminder time point for the conversation communication task with the task state being a completed state. Or when the second reminding time point of the conversation communication task is reached, not carrying out any reminding action.

In the above embodiment, the computer device generates the session communication task corresponding to each candidate object in the user database, and triggers the reminding action or adjusts the task state according to the completion progress of the session communication task. By the mode, the computer equipment can control the conversation communication progress of each candidate object in the user database, so that the processing efficiency of the candidate objects is greatly improved, and the intelligent order generation efficiency is ensured by following the conversation communication progress in real time.

Referring to FIG. 3, in a specific embodiment, the intelligent order generation method comprises the following steps:

s302, user data of different user objects are respectively obtained from more than one data source.

S304, screening the corresponding user objects according to the user data, and taking the user objects of which the corresponding user data meets the screening conditions as candidate objects.

S306, determining the user data of the candidate object obtained at each data source, and eliminating non-relevant data in the user data of the candidate object to obtain the candidate data.

S308, the candidate data is subjected to data alignment processing, and a user database is established according to the aligned candidate data.

S310, polling each candidate object in the user data, and establishing a first session link between the customer service robot and the candidate object according to the communication number of the corresponding candidate object for each candidate object.

S312, determining communication contents corresponding to the candidate objects, and controlling the customer service robot to perform preliminary session communication with the candidate objects through the communication contents.

S314, in the preliminary session communication process, the first voice data of the candidate object is obtained in real time through the first session link.

And S316, when the preset text is recognized in the first voice data of the candidate object, taking the candidate object as a target object.

S318, the first session link is switched to a second session link for confirmation session communication with the target object.

And S320, acquiring second voice data of the target object through the second session link, and generating a corresponding target order according to the received confirmation information in the second voice data.

S322, when the resource transfer operation is completed based on the target order, the target order is converted into a course order.

And S324, obtaining the course information corresponding to the course order.

S326, based on the course information, the matched course content is obtained, and the course content is fed back to the corresponding target object.

Referring to fig. 4, in a specific embodiment, the intelligent order generation method further includes:

and step S328, generating a course management task corresponding to the course order.

And S330, when the first reminding time point is reached, reminding information is sent to the terminal corresponding to the target object according to the course management task.

And S332, when the course content is played, sending feedback information to the terminal corresponding to the target object according to the course management task.

S334, generating the conversation communication task corresponding to each candidate object in the user database.

And S336, when the task state of the session communication task is in an unprocessed state and the second reminding time point is reached, triggering a corresponding reminding action.

S338, when the session communication task is completed, adjusting the task state of the session communication task to a processed state.

It should be understood that although the various steps in the flow charts of fig. 2-4 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-4 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.

In one embodiment, as shown in fig. 5, there is provided an intelligent order generating apparatus 500 comprising: an obtaining module 501, a screening module 502, an establishing module 503, a voice module 504 and a generating module 505, wherein:

an obtaining module 501, configured to obtain user data of different user objects from more than one data source respectively; the user data includes at least one of a user name, a communication number, course requirement information, and a user intention degree.

The screening module 502 is configured to screen a corresponding user object according to the user data, and use a user object whose relevant user data meets the screening condition as a candidate object.

A creating module 503, configured to create a user database based on the user data of the candidate object obtained from each data source.

The voice module 504 is configured to poll each candidate object in the user database, establish, for each candidate object, a first session link between the customer service robot and the candidate object according to the communication number of the corresponding candidate object, and obtain first voice data of the candidate object through the first session link.

And a generating module 505, configured to identify the first voice data, screen out a target object from the candidate objects according to the identification result, and generate a course order corresponding to the target object.

In an embodiment, the establishing module 503 is further configured to determine user data of candidate objects obtained at each data source, and eliminate non-relevant data in the user data of the candidate objects to obtain candidate data; and carrying out data alignment processing on the candidate data, and establishing a user database according to the aligned candidate data.

In one embodiment, the voice module 504 is further configured to poll candidate objects in the user profile, and for each candidate object, establish a first session link between the service robot and the candidate object according to the communication number of the corresponding candidate object; determining communication content corresponding to the candidate object, and controlling the customer service robot to perform preliminary session communication with the candidate object through the communication content; the communication content is matched with the data source corresponding to the candidate object; in the preliminary session communication process, first voice data of the candidate object is acquired in real time through the first session link.

In one embodiment, the generating module 505 is further configured to take the candidate object as a target object when a preset text is recognized in the first speech data of the candidate object; switching the first session link to a second session link for confirmation session communication with the target object; acquiring second voice data of the target object through a second session link, and generating a corresponding target order according to the received confirmation information in the second voice data; when the resource transfer operation is completed based on the target order, the target order is converted into a course order.

In one embodiment, the obtaining module 501 is further configured to obtain course information corresponding to a course order; the course information comprises at least one of subject information, grade information, course quantity information and course time information of the target object; and acquiring the matched course content based on the course information, and feeding back the course content to the corresponding target object.

Referring to FIG. 6, in one embodiment, the intelligent order generating apparatus 500 further comprises a management module 506 for generating course management tasks corresponding to the course orders; the course management task is used for managing and controlling the progress of the course content of the target object; the course management task comprises a first reminding time point corresponding to the course content, reminding information and feedback information; when the first reminding time point is reached, reminding information is sent to a terminal corresponding to the target object according to the course management task; the reminding information is used for reminding the target object to play the course content; when the course content is played, sending feedback information to a terminal corresponding to the target object according to the course management task; the feedback information is used to collect the satisfaction of the target object with the content of the lesson.

In one embodiment, the management module 506 is further configured to generate a session communication task corresponding to each candidate object in the user database; the session communication task is used for managing and controlling the session communication progress of the candidate object; the session communication task comprises a second reminding time point; when the task state of the session communication task is in an unprocessed state and a second reminding time point is reached, triggering a corresponding reminding action; when the session communication task is completed, the task state of the session communication task is adjusted to be a processed state.

According to the intelligent order generating device, the user data of different user objects are respectively obtained from more than one data source, the user objects are preliminarily screened according to the screening conditions, the user objects which do not accord with the screening conditions can be preferentially screened, and therefore the corresponding candidate objects are determined. The candidate objects are polled, so that the candidate objects establish a first session link with the customer service robot, first voice data of the corresponding candidate objects are obtained through the first session link, target objects are screened out according to the recognition result of the first voice data, namely students or parents who really want to buy the education course are screened out automatically, and course orders corresponding to the students or the parents are generated. By the method, multiple screening is performed on the users, the users with the actual purchasing intention can be determined, and the accuracy of the customer population is ensured. Moreover, voice communication is not needed to be carried out on all users manually, so that a large amount of labor cost and time cost are saved, and the efficiency of generating course orders is greatly improved.

For specific limitations of the intelligent order generation apparatus, reference may be made to the above limitations of the intelligent order generation method, which is not described herein again. All or part of the modules in the intelligent order generating device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

In one embodiment, a computer device is provided, the internal structure of which may be as shown in FIG. 7. The computer device includes a processor, a memory, and a communication interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The Communication interface of the computer device is used for performing wired or Wireless Communication with an external terminal, and the Wireless Communication may be implemented by WIFI (Wireless Fidelity, Wireless local area network), an operator network, NFC (Near Field Communication), or other technologies. The computer program is executed by a processor to implement an intelligent order generation method.

Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of the intelligent order generation method described above. The steps of the intelligent order generation method may be the steps in the intelligent order generation methods of the above embodiments.

In one embodiment, a computer readable storage medium is provided, storing a computer program which, when executed by a processor, causes the processor to perform the steps of the intelligent order generation method described above. The steps of the intelligent order generation method may be the steps in the intelligent order generation methods of the above embodiments.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile memory may include Read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. An intelligent order generation method, characterized in that the method comprises:

2. The method of claim 1, wherein building a user repository based on the user data of the candidate objects obtained from each of the data sources comprises:

determining the user data of the candidate object obtained at each data source, and eliminating non-relevant data in the user data of the candidate object to obtain candidate data;

and carrying out data alignment processing on the candidate data, and establishing a user database according to the aligned candidate data.

3. The method of claim 1, wherein said polling candidate objects in said user database, for each candidate object, establishing a first session link between the service robot and the candidate object according to the communication number of the corresponding candidate object, and obtaining first voice data of the candidate object through the first session link, comprises:

polling each candidate object in the user data, and establishing a first session link between the customer service robot and each candidate object according to the communication number of the corresponding candidate object for each candidate object;

determining communication content corresponding to the candidate object, and controlling the customer service robot to perform preliminary session communication with the candidate object through the communication content; the communication content is matched with the data source corresponding to the candidate object;

and in the preliminary session communication process, acquiring first voice data of the candidate object in real time through the first session link.

4. The method of claim 1, wherein the identifying the first voice data, screening target objects from the candidate objects according to the identification result, and generating a course order corresponding to the target objects comprises:

when a preset text is recognized in the first voice data of the candidate object, taking the candidate object as a target object;

switching the first session link to a second session link for confirmation session communication with the target object;

acquiring second voice data of the target object through the second session link, and generating a corresponding target order according to the received confirmation information in the second voice data;

when the resource transfer operation is completed based on the target order, the target order is converted into a course order.

5. The method of claim 1, wherein after converting the target order to a course order upon completion of a resource transfer operation based on the target order, the method further comprises:

acquiring course information corresponding to the course order; the course information comprises at least one of subject information, grade information, course quantity information and course time information of the target object;

and acquiring matched course content based on the course information, and feeding back the course content to a corresponding target object.

6. The method of claim 5, further comprising:

generating a course management task corresponding to the course order; the course management task is used for managing and controlling the progress of the course content of the target object; the course management task comprises a first reminding time point corresponding to the course content, reminding information and feedback information;

when the first reminding time point is reached, reminding information is sent to a terminal corresponding to the target object according to the course management task; the reminding information is used for reminding the target object to play the course content;

when the course content is played, sending feedback information to a terminal corresponding to the target object according to the course management task; the feedback information is used for collecting the satisfaction degree of the target object to the course content.

7. The method according to any one of claims 1-5, further comprising:

generating a session communication task corresponding to each candidate object in the user database; the session communication task is used for managing and controlling the session communication progress of the candidate object; the session communication task comprises a second reminding time point;

when the task state of the session communication task is in an unprocessed state and the second reminding time point is reached, triggering a corresponding reminding action;

and when the session communication task is finished, adjusting the task state of the session communication task to be a processed state.

8. An intelligent order generating apparatus, the apparatus comprising:

9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.