CN114757595A - User-defined scheduling strategy-based telemarketing task scheduling method and system - Google Patents
User-defined scheduling strategy-based telemarketing task scheduling method and system Download PDFInfo
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Abstract
The invention relates to a telephone sales task scheduling method and a system based on a custom scheduling strategy, which comprises the following steps: s1, configuration of the telephone sales scheduling strategy: configuring a corresponding telephone sales scheduling strategy according to the telephone sales service requirement; s2, the telemarketing platform creates a telemarketing task: the telephone sales platform is triggered through an API (application programming interface) interface so as to receive the information of a target telephone sales client and create a telephone sales task; s3, inquiring whether the number of sending tasks processed by the current service instance exceeds a threshold value, if so, directly skipping, and ending the task; if not, pushing to a scheduling pool to execute task sending operation; s4, scheduling of telemarketing tasks: and extracting the characteristic vector of the target customer through a rule engine for the task pushed to the dispatching pool, calculating the intention degree of the target customer, and judging the telephone sales strategy to be executed according to the calculated intention degree of the customer.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a method and a system for scheduling a telephone sales task based on a custom scheduling strategy.
Background
At present, all companies containing ToC services need to reach target customers through a certain channel and push product advertisement information to achieve the purpose of getting customers, telephone sales is widely applied to various industries as one of the reaching modes, the telephone sales mainly depends on the voice platform capacity of the company foundation, target customer information and corresponding marketing labels are screened in advance, telephone marketing is carried out on the target customers by actively dialing a telephone through a manual seat, and the willing customers are converted into company customers.
However, the number of target customers is large, the cost of the manual agents is high, the number of the manual agents is small, the ratio of the number of the manual agents to the number of the target customers is very different, and if the efficiency of telephone marketing is low only through a manual mode of the manual agents, marketing to all target customers cannot be completed in a short time;
due to individual difference, the conversion rate of each target client converted into a company client is different, and if all target clients with different conversion rates are manually processed by using a manual seat, the waste of human resources is caused;
different service lines in the company share the basic voice platform, and because the circuit of the voice platform is limited, the telephone sales requirements of all service lines cannot be met simultaneously, so that a telephone sales scheduling scheme which can reasonably schedule telephone sales tasks, efficiently utilize the voice platform and meet the telephone sales requirements of different service lines is urgently needed.
Disclosure of Invention
Based on this, it is necessary to provide a method and a system for scheduling telemarketing tasks based on a customized scheduling policy.
The embodiment of the invention provides a telemarketing task scheduling method based on a custom scheduling strategy, which comprises the following steps:
s1, configuration of the telephone sales scheduling strategy: configuring a corresponding telemarketing scheduling strategy according to telemarketing business requirements;
s2, the telemarketing platform creates a telemarketing task: the telephone sales platform is triggered through an API (application programming interface) interface so as to receive the information of a target telephone sales client and create a telephone sales task;
s3, inquiring whether the number of sending tasks processed by the current service instance exceeds a threshold value, if so, directly skipping and ending the task; if not, pushing to a scheduling pool to execute task sending operation;
s4, scheduling the telemarketing task: extracting a target customer feature vector from a task pushed to a scheduling pool through a rule engine, calculating a target customer intention degree, judging a telephone sales strategy to be executed according to the calculated customer intention degree, when the customer intention degree reaches or exceeds a threshold value, pushing the task to a timing scheduling pool according to execution frequency, pushing the timing scheduling pool by using a robot and artificial telephone sales strategy, otherwise, pushing the task to a common scheduling pool, executing the robot telephone sales strategy by the common scheduling pool, and pushing the robot telephone sales strategy only by using the robot telephone sales strategy;
And S5, the timing scheduling pool and the common scheduling pool inquire the telephone sales task information in the cache in real time in the process of executing the tasks, if the telephone sales task information cannot be sent, the sending task is directly ended, and meanwhile, the distributed lock is released and the total number of the tasks which can be sent by the service instance is accumulated.
Preferably, in step S1, the telemarketing scheduling policy includes:
the global scheduling strategy of the telemarketing task is as follows: the method comprises the steps of a task sending quantity threshold value, a task scheduling time period and a task concurrency threshold value every day;
customized scheduling strategy: the method comprises the steps of task aggregation strategy, user-defined scheduling time period, task pushing frequency and task pushing quantity of each batch;
robot and artificial telephone sales strategy: including manual scaling, push time intervals, pushable time periods.
Preferably, in step S2, the telemarketing task creating method includes real-time transmission and batch transmission, and if the telemarketing task is created by using a method of real-time transmission of telemarketing tasks, the target telemarketing client information is transmitted through an HTTP interface; if the telephone sales tasks are created in a mode of sending the telephone sales tasks in batches, target telephone sales client information is transmitted in a file mode, a calling party uploads telephone sales client files to a file server in advance, and an interface calls the files and transmits the files to a target telephone sales client file server path.
Preferably, in step S2, when creating the telemarketing task by using the method of sending telemarketing tasks in batches, the target telemarketing client files of the telemarketing tasks are asynchronously parsed by a timing task, wherein the timing task supports a retry mechanism, and if the secondary task fails to parse, it is guaranteed that the source data can be successfully parsed and put in storage.
Preferably, in step S4, when the task is pushed using the robot phone sales policy, the pushing is performed only within a time period configured by the policy; when the tasks are pushed by using a robot and artificial telephone sales strategy, scheduling is started, the task pushing quantity is calculated by inquiring the quantity of idle seats in real time, the success rate of transferring to the manual work is improved, firstly, telephone sales is carried out through the robot, the intention of a client is analyzed in real time through an NLU (non line of sight) in the process of telephone sales of the robot, manual transfer operation is carried out when the intention of the client is transferred, and the strategy is used for carrying out deep propaganda on the client with high intention, so that the purpose of obtaining the client is achieved.
Preferably, the task pushing quantity is calculated according to the quantity of the idle seats queried in real time, and whether manual work is required or not is determined.
Preferably, the management module comprises:
The global scheduling strategy module of the telemarketing task: an overall scheduling policy for customizing the telemarketing platform;
a customized scheduling policy module: the system is used for customizing the strategy according to the telephone sales platform and the service volume;
the robot and artificial telephone sale strategy module: when the robot and the artificial telephone sales strategy is used for pushing the telephone sales task, the specific telephone sales strategy is customized.
Preferably, the task creation module includes:
a real-time sending module: the method is used for creating the telemarketing task in a mode of sending the telemarketing task in real time, and then the information of the target telemarketing client is transmitted in an HTTP interface mode;
a batch sending module: and creating the telephone sales tasks in a mode of sending the telephone sales tasks in batches, transmitting the target telephone sales client information in a file mode, and asynchronously analyzing the target telephone sales client file transmitted in the file mode through a timing task.
Preferably, the telemarketing task scheduling module includes:
a timing scheduling module: the system comprises a client, a server and a server, wherein the client is used for executing a robot and artificial telephone sales strategy pushing task when the client intention reaches or exceeds a threshold value;
a common scheduling module: the method is used for executing the robot telephone sales strategy pushing task when the client intention degree does not reach a threshold value.
The invention provides a telemarketing scheduling engine based on a telemarketing scheduling engine, which is used for uniformly scheduling telemarketing tasks, preferentially marketing target customers by means of AI (artificial intelligence) capability, calculating the intention of the target customers in real time through a rule engine, triggering manual operation, and configuring an unavailable scheduling strategy aiming at telemarketing tasks of different target customer groups by filtering the intentional customers in advance, pushing the unavailable scheduling strategy at a proper time, improving the reach rate, further improving the customer conversion rate, releasing human resources and improving the working efficiency of seats;
the scheduling engine acquires the line resource idle quantity of the voice platform through real-time monitoring of the voice platform, so that the number of tasks for manual call sales is controlled, manual seat pressure is reduced, and seat workload is shared;
aiming at multiple service lines, corresponding scheduling strategies are configured for different service lines, and uniform scheduling management is carried out on telemarketing tasks of different service lines in an enterprise through a telemarketing platform, so that line resources are efficiently utilized, and telemarketing efficiency is improved.
Drawings
The foregoing and other objects, features and advantages of the invention will be apparent from the following more particular description of preferred embodiments of the invention, as illustrated in the accompanying drawings. Like reference numerals refer to like parts throughout the drawings, and the drawings are not intended to be drawn to scale in actual dimensions, emphasis instead being placed upon illustrating the principles of the invention.
FIG. 1 is a flow diagram illustrating the creation of a telemarketing task in accordance with an embodiment of the present invention;
FIG. 2 is a flow chart of the telemarketing task push of the preferred embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating a telemarketing task execution flow according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a system network layout framework according to an embodiment of the present invention.
Detailed Description
The present invention will be better understood and implemented by those skilled in the art by the following detailed description of the embodiments taken in conjunction with the accompanying drawings, which are not intended to limit the scope of the present invention.
As shown in fig. 1-4, a method and a system for scheduling telemarketing tasks based on a custom scheduling policy includes the following steps:
s1, configuration of the telephone sales scheduling strategy: configuring a corresponding telephone sales scheduling strategy according to the telephone sales service requirement;
s2, the telemarketing platform creates a telemarketing task: the telephone sales platform is triggered through an API (application programming interface) interface so as to receive the information of a target telephone sales client and create a telephone sales task;
s3, scheduling logic: periodically scanning the tasks in the telemarketing task pool, putting the tasks (tasks with the current date between the start time and the end time of the tasks) with the state of being capable of being sent (CAN _ SEND = 'Y') and within the valid range into a task list,
Before executing a sending operation on a task in a task list, acquiring a distributed task lock (based on Zookeeper) according to a task identifier, if the task lock can be successfully acquired, continuing to execute the operation, meanwhile, decreasing the total number of sending tasks which can be processed by a service instance, and if the task lock fails to be acquired, indicating that the task is sent, directly performing a returning operation and processing the next task;
traversing the task detail data in pages, putting the task detail data into a task scheduling pool in batches, and calculating the task detail to be processed currently by inquiring the total amount of tasks and the page size which meet the conditions;
wherein L is detail list data of each page,
inquiring whether the number of sending tasks processed by the current service instance exceeds a threshold value, if so, directly skipping and ending the task, thereby preventing a single service from processing too many sending tasks and avoiding influencing service performance; if not, pushing to a scheduling pool to execute task sending operation,
s4, scheduling of telemarketing tasks: and extracting the characteristic vector of the target customer through a rule engine for the telephone sales task pushed to the dispatching pool, so as to calculate the intention of the target customer, and calculating a target customer intention formula:
wherein, alpha and beta are preset parameters, A, D is a target customer characteristic value, and S is a product characteristic value; judging the type of a telemarketing strategy to be executed by the telemarketing task according to the calculated client intention, executing the telemarketing strategy between the robot and the manual telemarketing when the client intention reaches or exceeds a threshold value, and pushing the telemarketing strategy to a timing scheduling pool according to the execution frequency of the task; otherwise, executing a robot telephone sales strategy, and pushing to a common dispatching pool, wherein the robot telephone sales strategy is pushed only by using the robot; the client intention degree can be confirmed by performing speech recognition and speech processing on the client through ASR, TTS, NLP, and other tools.
S5, in the process of executing tasks, a scheduling pool (a timing scheduling pool and a common scheduling pool) inquires telephone sales task information in a cache in real time, if the information cannot be sent (CAN _ SEND = 'N'), the task sending is directly ended, and meanwhile, a distributed lock is released and the total number of tasks which CAN be sent by a service instance is accumulated.
In a preferred embodiment, the telemarketing scheduling policy comprises:
and (3) global scheduling strategy of the telemarketing task: the method comprises the steps of a task sending quantity threshold value, a task scheduling time period and a task concurrency threshold value every day;
customized scheduling strategy: the method comprises the steps of task aggregation strategy, user-defined scheduling time period, task pushing frequency and task pushing quantity of each batch;
robot and artificial telephone sales strategy: the robot and artificial telephone sales strategy configures a scheduling strategy on a rear management interface of a telephone sales platform in advance, starts to execute scheduling after starting, calculates the task pushing quantity by inquiring the quantity of idle seats in real time, and improves the success rate of manual switching, including manual switching proportion, pushing time interval and pushing time period.
In a preferred embodiment, in step S2, the telemarketing task creating method includes real-time pushing and batch preloading mode propagation, if the telemarketing task is created by using the real-time telemarketing task pushing method, the target telemarketing client information is transmitted through an HTTP interface mode, and the real-time telemarketing task supports aggregation of telemarketing tasks according to business dimensions, so as to facilitate business application classification statistics; if the telephone sales task is created in a mode of preloading the telephone sales tasks in batch, target telephone sales client information is transmitted in a file mode, a calling party uploads a telephone sales client file to a file Server (SFTP) in advance, and an interface is transmitted to a target telephone sales client file server path when called.
In a preferred embodiment, in step S2, when creating the telemarketing task by using the bulk preloaded telemarketing tasks, the target telemarketing client files of the bulk telemarketing tasks are asynchronously parsed by a timing task, so as to improve the interface response speed, wherein the timing task supports a retry mechanism, and if the secondary task fails to parse, it can be ensured that the source data can be successfully parsed and put in storage by the retry mechanism.
In a preferred embodiment, in step S4, when the task is pushed using the robot telemarketing strategy, the method only uses the robot to perform telemarketing, does not perform manual operation, is suitable for publicity of a previous-stage product, and only needs to perform pushing within a time period configured by the strategy in the pushing process; when a task is pushed by using a robot and artificial telephone sales strategy, scheduling is started, the number of the task pushed is calculated by inquiring the number of idle seats in real time, and the success rate of manual transfer is improved.
In a preferred embodiment, in step S4, the task pushing quantity is calculated according to the real-time query of the number of idle agents, and it is determined whether to switch to manual work.
A telemarketing task scheduling system based on a custom scheduling policy, the system comprising:
the management module is used for: a telemarketing scheduling policy for uniform maintenance configuration;
a task creation module: for receiving information of a target telemarketing customer and creating a telemarketing task;
the telemarketing task scheduling module: the system comprises a rule engine, a database server and a database, wherein the rule engine is used for extracting target customer feature vectors from tasks in a scheduling pool, calculating target customer intention, and judging a telephone sales strategy to be scheduled and executed according to whether the target customer intention exceeds a threshold value;
a task execution module: and executing the telephone sales task corresponding to the telephone sales strategy according to the telephone sales strategy obtained by the task scheduling.
In a preferred embodiment, the management module comprises:
the global scheduling strategy module of the telemarketing task: an overall scheduling policy for customizing the telemarketing platform;
a customized scheduling policy module: the system is used for customizing the strategy according to the telephone sales platform and the service volume;
the robot and artificial telephone sales strategy module: when the robot and the artificial telephone sales strategy is used for pushing the telephone sales task, the specific telephone sales strategy is customized.
In a preferred embodiment, the task creation module comprises:
a real-time pushing module: the method comprises the steps that a telephone sales task is created in a mode of pushing the telephone sales task in real time, and target telephone sales client information is transmitted in an HTTP interface mode;
batch preloading module: and creating the telephone sales tasks in a mode of preloading the telephone sales tasks in batches, transmitting the target telephone sales client information in a file mode, and asynchronously analyzing the target telephone sales client file transmitted in the file mode through a timing task.
In a preferred embodiment, the telemarketing task scheduling module includes:
a timing scheduling module: the system comprises a client, a server and a server, wherein the client is used for executing a robot and artificial telephone sales strategy pushing task when the client intention reaches or exceeds a threshold value;
a common scheduling module: the method is used for executing the robot telephone sales strategy pushing task when the client intention degree does not reach a threshold value.
In a preferred embodiment, the logic for transmitting the telemarketing task transmission operation includes:
s401, pushing the sales strategy of the robot and the artificial telephone, wherein at the moment:
reading the task information in the cache, inquiring the number of the current idle seats in real time to calculate the number capable of being pushed,
then, checking whether the current telephone sales task state is transmittable or not, if the current telephone sales task state is not transmittable, directly ending execution, releasing the distributed lock and accumulating the total number of transmittable tasks of the service instance; if the data can be sent, entering the next step to continue verification;
Checking whether the current telemarketing task is in the validity period range, if not, directly ending, releasing the distributed lock and accumulating the total number of tasks which can be sent by the service instance; if yes, entering the next step to continue verification;
obtaining configuration information of telephone sales task and obtaining call ratioAnd calculates the number of the business form pushed to the robot according to the number of the idle seats, wherein,
and the amount of the business form pushed to the robot.
Calculating the number and frequency of pushing tasks each time, submitting the number and frequency to an execution pool of a corresponding task, executing pushing, and pushing to a robot processing logic;
when the task state is unserviceable or the task is sent completely, the task is executed and completed, and meanwhile, the distributed lock is released and the total number of tasks which can be sent by the service instance is accumulated;
s402, when the robot telephone sales strategy is pushed:
when the task is sent, checking whether the current telephone sales task state is transmittable or not, if the current telephone sales task state is not transmittable, directly ending execution, releasing a distributed lock and accumulating the total number of transmittable tasks of the service instance; if the data can be sent, the next step is carried out to continue verification,
checking whether the current telemarketing task is in the valid period range, if not, directly ending, releasing the distributed lock and accumulating the total number of tasks which can be sent by the service instance; if so, entering the next step to continue verification,
Acquiring task list data in batches, checking whether the sending total amount of the current-day robot telephone sales strategy tasks exceeds the sending threshold value of the current-day robot telephone sales strategy, if the sending total amount of the current-day robot telephone sales strategy tasks reaches the sending upper limit of each day, directly finishing execution, releasing a distributed lock and accumulating the total amount of the service instance tasks which can be sent; and if not, reading the task information in the cache, pushing the task information to the robot processing logic, and updating the total amount of tasks sent each day (placed in the cache) according to the number of successful pushing after the calling is finished.
S4, the telemarketing task sending logic comprises:
s401, pushing by using a robot and artificial telephone sales strategy, comprising the following specific steps:
reading the task information in the cache, inquiring the number of the current idle seats in real time to calculate the number capable of being pushed,
then, checking whether the current telephone sales task state is transmittable or not, if the current telephone sales task state is not transmittable, directly ending execution, releasing the distributed lock and accumulating the total number of transmittable tasks of the service instance; if yes, checking whether the current telemarketing task is in the valid period range, if not, directly ending, releasing the distributed lock and accumulating the total number of tasks which can be sent by the service instance;
If yes, acquiring the configuration information of the telemarketing task, acquiring the call ratio, calculating the quantity of the business form pushed to the robot according to the number of idle seats,
calculating the number and the frequency of pushing tasks each time, submitting the number and the frequency to an execution pool of a corresponding task, executing pushing, and pushing to a robot processing logic;
when the task state is unserviceable or the task is sent completely, the task is executed and completed, and meanwhile, the distributed lock is released and the total number of tasks which can be sent by the service instance is accumulated;
s402, when the push is carried out only by using a robot telephone sales strategy, the specific steps are as follows:
when the task is sent, checking whether the current telemarketing task state is a transmittable state, if the task is not transmittable, directly ending execution, releasing a distributed lock and accumulating the total number of tasks transmittable by the service instance; if yes, checking whether the current telemarketing task is in the validity period range, if not, directly ending, simultaneously releasing the distributed lock and accumulating the total number of tasks which can be sent by the service instance;
if the total number of the tasks which can be sent by the service instance is less than the sending threshold, the execution is directly finished, and meanwhile, the distributed lock is released and the total number of the tasks which can be sent by the service instance is accumulated; and if not, reading the task information in the cache and pushing the task information to the robot processing logic.
The robot is an intelligent voice robot, the service system comprises a plurality of service applications, and each service application respectively creates a corresponding telemarketing task, namely the service system can respectively create corresponding telemarketing tasks.
Fig. 4 is a diagram of a network deployment architecture of a telemarketing platform, which is an illustration of a network deployment architecture that can be known by a person skilled in the art according to a signal flow logic and a system structure of a telemarketing task scheduling method of the present invention, where a server cluster includes a back-pipe module, a policy configuration module, a task parsing module, and a task pushing module, a management platform maintains uniformly, data is cached by a redis storage system, data is stored by a master database (DB, i.e., database), a MQ message queue forms a kafka message queue cluster for storing when data messages change during production or consumption, the cluster registration center is used for service registration of a cluster service end, a swagger API manages API interfaces for managing API interfaces, and obtains a distributed task lock (based on Zookeeper) according to an identifier of a task before a task in a task list is executed and sent, a Zabbix monitoring system is a Web-interface-based level architecture providing distributed enterprise monitoring and network monitoring functions The open source solution of (1).
The Elastic-joba is based on a distributed scheduling solution after quartz quadratic development, and consists of two relatively independent sub-projects Elastic-Job-Lite and Elastic-Job-Cloud.
The main design concept of elastic-joba is a decentralized distributed timing scheduling framework, and the idea is derived from a high-availability scheme based on a database of Quartz. But the database has no distributed coordination function, so that the idea of elastic capacity expansion and data fragmentation is added on the basis of a high-availability scheme, so that the resources of the distributed server are utilized to a greater extent.
The logstack can dynamically collect, convert and transmit data without being affected by format or complexity.
The Elasticsearch is a Lucene-based search server. It provides a distributed multi-user capable full-text search engine based on RESTful web interface. The Elasticsearch was developed in the Java language and published as open source under the Apache licensing terms, a popular enterprise level search engine.
Kibana is an open source data analysis and visualization platform for collaboration with the Elasticsearch. The Kibana can be used for searching, viewing and interacting the data in the Elasticissearch index, and diversified analysis and presentation of the data can be conveniently carried out by using charts, tables and maps. The web is a web end, and the web end performs Sentinel current limiting fusing, Ribbon load balancing and the like when the server cluster exceeds the load through the Nginx load balancing reverse proxy and the spring closed Gateway, and details are not repeated here.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all equivalent structures or equivalent processes performed by the present invention or directly or indirectly applied to other related technical fields are also included in the scope of the present invention.
Claims (10)
1. A telemarketing task scheduling method based on a custom scheduling strategy is characterized by comprising the following steps:
s1, configuration of the telephone sales scheduling strategy: configuring a corresponding telemarketing scheduling strategy according to telemarketing business requirements;
s2, the telemarketing platform creates a telemarketing task: the telephone sales platform is triggered through an API (application programming interface) interface so as to receive the information of a target telephone sales client and create a telephone sales task;
s3, inquiring whether the number of sending tasks processed by the current service instance exceeds a threshold value, if so, directly skipping, and ending the task; if not, pushing to a scheduling pool to execute task sending operation;
s4, scheduling of telemarketing tasks: extracting a target customer feature vector from a task pushed to a scheduling pool through a rule engine, calculating a target customer intention degree, judging a telephone sales strategy to be executed according to the calculated customer intention degree, when the customer intention degree reaches or exceeds a threshold value, pushing the task to a timing scheduling pool according to execution frequency, pushing the timing scheduling pool by using a robot and artificial telephone sales strategy, otherwise, pushing the task to a common scheduling pool, executing the robot telephone sales strategy by the common scheduling pool, and pushing the robot telephone sales strategy only by using the robot telephone sales strategy;
And S5, the timing scheduling pool and the common scheduling pool inquire the telephone sales task information in the cache in real time in the process of executing the tasks, if the telephone sales task information cannot be sent, the sending task is directly ended, and meanwhile, the distributed lock is released and the total number of the tasks which can be sent by the service instance is accumulated.
2. The method of claim 1, wherein in step S1, the telemarketing scheduling policy comprises:
the global scheduling strategy of the telemarketing task is as follows: the method comprises the steps of a task sending quantity threshold value, a task scheduling time period and a task concurrency threshold value every day;
customized scheduling strategy: the method comprises the steps of task aggregation strategy, user-defined scheduling time period, task pushing frequency and task pushing quantity of each batch;
robot and artificial telephone sales strategy: including manual scaling, push time intervals, pushable time periods.
3. The method according to claim 1, wherein in step S2, the telemarketing task creating method includes real-time push and batch preloading mode propagation, and if the telemarketing task is created by using the real-time push telemarketing task, the target telemarketing client information is transmitted through an HTTP interface mode; if the telephone sales tasks are created in a mode of preloading the telephone sales tasks in batches, target telephone sales client information is transmitted in a file mode, a calling party uploads telephone sales client files to a file server in advance, and an interface calls the files and transmits the files to a target telephone sales client file server path.
4. The method of claim 3, wherein in step S2, when creating telemarketing tasks using bulk preloaded telemarketing tasks, the bulk telemarketing task target telemarketing client files are asynchronously parsed by a timing task that supports a retry mechanism, ensuring that the source data can be successfully parsed into bins if the subtask parsing fails.
5. The method of claim 2, wherein in step S4, when the task is pushed using the robot phone sales policy, the pushing is performed only within a time period configured by the policy; when a task is pushed by using a robot and artificial telephone sales strategy, scheduling is executed after the strategy is started, the task pushing quantity is calculated by inquiring the quantity of idle seats in real time, the success rate of transferring to the artificial is improved, firstly, telephone sales is carried out through the robot, the intention of a client is analyzed in real time through an NLU (non line of sight) in the process of telephone sales of the robot, manual transferring operation is carried out when the intention of transferring to the artificial is triggered, and the strategy is used for deeply publicizing the client with high intention, so that the purpose of obtaining the client is achieved.
6. The method of claim 1, wherein the task push quantity is calculated according to a real-time query of the number of free agents, and whether to change to manual work is determined.
7. A telemarketing task scheduling system based on a custom scheduling policy, the system comprising:
the management module is used for: a telemarketing scheduling policy for uniform maintenance configuration;
a task creation module: for receiving information of a target telemarketing customer and creating a telemarketing task;
the telemarketing task scheduling module: the system comprises a rule engine, a database server and a database, wherein the rule engine is used for extracting target customer feature vectors from tasks in a scheduling pool, calculating target customer intention, and judging a telephone sales strategy to be scheduled and executed according to whether the target customer intention exceeds a threshold value;
a task execution module: and executing the telephone sales task corresponding to the telephone sales strategy according to the telephone sales strategy obtained by the task scheduling.
8. The system of claim 7, wherein the management module comprises:
the global scheduling strategy module of the telemarketing task: an overall scheduling policy for customizing the telemarketing platform;
a customized scheduling policy module: the system is used for customizing the strategy according to the telephone sales platform and the service volume;
the robot and artificial telephone sales strategy module: when the robot and the artificial telephone sales strategy is used for pushing the telephone sales task, the specific telephone sales strategy is customized.
9. The system of claim 7, wherein the task creation module comprises:
a real-time pushing module: the method comprises the steps that a telephone sales task is created in a mode of pushing the telephone sales task in real time, and target telephone sales client information is transmitted in an HTTP interface mode;
the batch preloading module: and creating the telephone sales tasks in a mode of preloading the telephone sales tasks in batches, transmitting the target telephone sales client information in a file mode, and asynchronously analyzing the target telephone sales client file transmitted in the file mode through a timing task.
10. The system of claim 7, wherein the telemarketing task scheduling module comprises:
a timing scheduling module: the system comprises a client, a server and a server, wherein the client is used for executing a robot and artificial telephone sales strategy pushing task when the client intention reaches or exceeds a threshold value;
a common scheduling module: the method is used for executing the robot telephone sales strategy pushing task when the client intention degree does not reach a threshold value.
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