CN109977386B - Outbound flow manufacturing method and tool based on flow manufacturing - Google Patents
Outbound flow manufacturing method and tool based on flow manufacturing Download PDFInfo
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Abstract
The invention relates to an outbound flow manufacturing method based on flow manufacturing, which comprises the following steps: generating or importing a dialogue flow template into the editor, and displaying the imported dialogue flow template in a flow graph mode; editing the dialogue flow template through an editing tool in the editor; testing the edited dialogue flow template by means of a testing tool in the editor; exporting the tested dialogue flow template in an Excel mode; by adopting the editor, the dialogue flow template is imported, visualized and rapidly edited, tested and Excel is exported, and the dialogue flow template can provide perfect, smooth and flexible flow editing functions, free business configuration capability, efficient and perfect flow testing and conversion functions of graphic flows and text flows.
Description
Technical Field
The invention relates to the technical field of telephone outbound, in particular to an outbound flow manufacturing method and tool based on stream manufacturing.
Background
Telephone outbound is an indispensable module of modern enterprise marketing and customer service centers. The telephone calling-out is a system for automatically dialing and screening out clients and playing sound recordings, and plays a role in non-manual popularization and propaganda. The calling service can be used for activities such as market analysis, service demand, service satisfaction investigation, customer visit and the like.
With the development of artificial intelligence technology, a large number of call center servers based on artificial intelligence have emerged in recent years. As a set of intelligent outbound systems, how to provide a complete set of conversational and flow editing systems is important. Using the current market outbound flow system, each platform has several problems: the method can not provide perfect, smooth and flexible flow editing functions, free service configuration capability, efficient and perfect flow test and conversion of graphic flow and text flow.
Disclosure of Invention
The technical problem to be solved by the invention is to provide an outbound procedure manufacturing method based on stream manufacturing aiming at the defects in the prior art;
an outbound flow production tool based on the flow production is also provided.
The technical scheme adopted for solving the technical problems is as follows:
a method for manufacturing outbound flow based on stream manufacturing is constructed, and the implementation method is as follows:
the first step: generating or importing a dialogue flow template into the editor, and displaying the imported dialogue flow template in a flow graph mode;
and a second step of: editing operation is carried out on the dialogue flow template through an editing tool in the editor;
and a third step of: testing the edited dialogue flow template by means of a testing tool in the editor;
fourth step: and exporting the tested dialogue flow template in an Excel mode.
The invention discloses an outbound flow making method based on flow making, wherein the dialogue flow template comprises a starting node, a plurality of robot nodes and an ending node.
The invention relates to an outbound flow manufacturing method based on stream manufacturing, wherein the editing of the robot node comprises a common setting mode and a data query mode; the common setting mode provides operation configuration of operation, robot node behavior codes, key functions, back functions, transfer seats and long-distance recording; the data query mode provides functions of querying data and replying users for the interface of the docking service;
the robot node behavior code is used for tracking which robot node the user hangs up on;
the keep function refers to a condition that the robot node returns to the last robot node after the dialogue of the robot node is completed;
the back function refers to the condition that the robot node returns to the last robot node after the dialogue of the robot node is completed;
the turning agent refers to turning a manual agent when a user hits the robot node;
the long-pass recording refers to uploading an audio file of the content broadcasted by the robot;
the interface query data of the docking service refers to interface addresses filled in by a client query system of the robot docking.
The invention discloses an outbound flow manufacturing method based on stream manufacturing, wherein the editing of the robot node further comprises a user triggering condition; the user trigger condition comprises a common mode and a parameter condition mode; the common mode provides the service configuration of keywords, corpus, priority, user condition behavior codes, user labels, default robot nodes and hold lines; the parameter condition mode provides a robot node for judging the next appointed flow of user attribute walking;
the keywords are bound with the corpus, and when the keywords are matched with the corresponding keywords, the corresponding corpus is played;
the priority is the priority when the keywords are matched;
the user condition behavior code is used for tracking which condition the user hangs up;
the user label is used for labeling the users meeting the robot node condition, and the label is displayed in the robot session detail;
the default robot node is a line which the robot can travel when the user speaks the language and the robot does not hit under other user conditions;
the hold line refers to a line which is taken by the robot when the user is silent;
the parameter condition refers to parameters filled in by a user docking client query system.
The outbound flow making method based on stream making, provided by the invention, comprises the steps that in the first step, the dialogue flow template imported into the editor is a blank flow template or a previously stored dialogue flow template generated by editing.
The invention relates to an outbound flow making method based on flow making, wherein in the first step, an editor is provided with a canvas for displaying a conversation flow template in a flow graph mode; in the second step, editing operations include one or more of undoing, redoing, pasting, deleting, zooming in, zooming out, adapting to canvas, physical size, multi-selection, automatic layout and searching operations;
the revocation refers to the revocation of the last operation;
the redo can withdraw the last undo operation;
the multi-selection can select a plurality of robot nodes, conditions or robot node conditions;
the replication may replicate a single or multiple robot nodes or robot node conditions;
the pasting is used for pasting the copied single or multiple robot nodes or robot node conditions;
the searching includes title, speaking, keywords or corpus contained in the searching process;
the deletion, deleting unnecessary lines, robot nodes or robot node conditions;
the amplifying is carried out, and the whole canvas is amplified;
the whole canvas is reduced by the reduction;
the adaptation canvas adapts the view to the whole canvas;
the actual size displays the actual size of the canvas;
the automatic layout is automatically aligned, and the positions of the robot nodes are adjusted.
In the third step, the test tool submits the dialogue flow template to the model training before testing.
The invention relates to an outbound flow manufacturing method based on flow manufacturing, wherein in the third step, a testing tool comprises single-node testing, full-quantity testing and interaction testing;
the single node test is carried out on a single node, whether keyword corpora configured by user conditions conflict with each other or not is tested, specific conflict conditions are displayed, and conflict nodes are rapidly located;
the full test provides a batch expected result test by importing excel for a user, and is a comparison between the expected result and the actual result of the batch test of the user;
and the interaction test simulates the actual outbound condition, performs the dialogue between the user and the machine, positions the hit node, and rapidly positions the hit condition of the node.
The outbound flow manufacturing method based on stream manufacturing, disclosed by the invention, is realized by the editor based on web.
An outbound flow making tool based on stream making, according to the outbound flow making method based on stream making, is characterized in that the tool comprises the editor.
The invention has the beneficial effects that: by adopting the editor, the dialogue flow template is imported, visualized and rapidly edited, tested and Excel is exported, and the dialogue flow template can provide perfect, smooth and flexible flow editing functions, free business configuration capability, efficient and perfect flow testing and conversion functions of graphic flows and text flows.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention will be further described with reference to the accompanying drawings and embodiments, in which the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained by those skilled in the art without inventive effort:
fig. 1 is a flow chart of an outbound flow process making method based on flow making according to a preferred embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the following description will be made in detail with reference to the technical solutions in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by a person skilled in the art without any inventive effort, are intended to be within the scope of the present invention, based on the embodiments of the present invention.
The outbound flow manufacturing method based on the flow manufacturing in the preferred embodiment of the invention is shown in fig. 1, and the implementation method is as follows:
s01: generating or importing a dialogue flow template into the editor, and displaying the imported dialogue flow template in a flow graph mode;
s02: editing the dialogue flow template through an editing tool in the editor;
s03: testing the edited dialogue flow template by means of a testing tool in the editor;
s04: exporting the tested dialogue flow template in an Excel mode;
by adopting the editor, the dialogue flow template is imported, visualized and rapidly edited, tested and Excel is exported, and the dialogue flow template can provide perfect, smooth and flexible flow editing functions, free business configuration capability, efficient and perfect flow testing and conversion functions of graphic flows and text flows.
Preferably, the dialogue flow template comprises a start node, a plurality of robot nodes and an end node; the plurality of robot nodes are dependent on logic relations to form one or more layers of logic flows.
Preferably, the editing of the robot node comprises a common setting mode and a data query mode; the common setting mode provides operation configuration of operation, robot node behavior code, key function, back function, transfer seat and long-distance recording; the data query mode provides functions of querying data and replying users for the interface of the docking service;
the robot node behavior code is used for tracking which robot node the user hangs up on;
the keep function refers to the condition that the robot node returns to the last robot node after the dialogue of the robot node is completed;
the back function refers to the condition that the robot node returns to the last robot node after the dialogue of the robot node is completed;
turning the seat, namely turning the manual seat when the user hits the robot node;
the long-distance recording refers to uploading an audio file of the content broadcasted by the robot;
the interface inquiry data of the docking service refers to the interface address filled in by the robot docking client inquiry system.
Preferably, the editing of the robot node further comprises a user trigger condition; the user trigger condition comprises a common mode and a parameter condition mode; the common mode provides the service configuration of keywords, corpus, priority, user condition behavior codes, user labels, default robot nodes and hold lines; parameter condition mode, providing and judging user attribute to walk the next appointed flow robot node;
the keywords are bound with the corpus, and when the keywords are matched with the corresponding keywords, the corresponding corpus is played;
priority, which is the priority when the keywords are matched;
the user condition behavior code is used for tracking which condition the user hangs up;
a user tag for tagging a user who satisfies the robot node condition, the tag being displayed in a robot session detail;
the default robot node refers to a line which the robot can travel when the user speaks a language and the robot does not hit under other user conditions;
the hold line refers to a line which is taken by the robot when the user is silent;
the parameter condition refers to parameters filled in by a user docking client query system.
Preferably, in the first step, the dialogue flow template imported into the editor is a blank flow template or a previously stored dialogue flow template generated by editing.
Preferably, in the first step, the editor is provided with a canvas for displaying a dialog flow template in a flow graph; in the second step, editing operations include one or more of undoing, redoing, pasting, deleting, zooming in, zooming out, adapting to canvas, physical size, multi-selection, automatic layout, and search operations;
revocation refers to the revocation of the last operation;
redoing, the last undo operation can be withdrawn;
multiple choices, multiple robot nodes, conditions or robot node conditions can be selected;
replication, single or multiple robot nodes or robot node conditions can be replicated;
pasting, namely pasting the copied single or multiple robot nodes or robot node conditions;
searching, namely searching titles, speech, keywords or corpus contained in the process;
deleting unnecessary lines, robot nodes or robot node conditions;
amplifying the whole canvas;
shrinking, namely shrinking the whole canvas;
adapting the canvas to enable the view to be adapted to the whole canvas;
the actual size of the canvas is displayed;
automatic layout, automatic alignment and adjustment of the positions of the robot nodes.
Preferably, in the third step, the test tool submits the dialogue flow template to the model training before testing.
Preferably, in the third step, the test tool includes a single node test, a full-scale test and an interactive test;
single node testing, testing single node, testing whether keyword corpus configured by user condition conflict with each other, displaying specific conflict condition, and rapidly positioning conflict node;
the full test provides a batch expected result test by importing excel to the user, and the comparison between the expected result and the actual result is carried out for the batch test of the user;
and (3) interactive testing, namely simulating the actual outbound condition, carrying out dialogue between a user and a machine, positioning hit nodes and rapidly positioning the hit conditions of the nodes.
The invention relates to an outbound flow making method based on stream making, wherein an editor is realized based on web.
An outbound flow making tool based on stream making, according to the outbound flow making method based on stream making, the tool comprises an editor; it should be noted that, the tool expression form is preferably a web form; likewise, it may also be in the form of exe executable files, APP applets, etc.
It will be understood that modifications and variations will be apparent to those skilled in the art from the foregoing description, and it is intended that all such modifications and variations be included within the scope of the following claims.
Claims (4)
1. The method for manufacturing the outbound flow based on the stream manufacturing comprises the following steps:
the first step: generating or importing a dialogue flow template into the editor, and displaying the imported dialogue flow template in a flow graph mode;
and a second step of: editing operation is carried out on the dialogue flow template through an editing tool in the editor;
and a third step of: testing the edited dialogue flow template by means of a testing tool in the editor;
fourth step: exporting the tested dialogue flow template in an Excel mode;
the dialogue flow template comprises a start node, a plurality of robot nodes and an end node; editing the robot node comprises a common setting mode and a data query mode; the common setting mode provides operation configuration of operation, robot node behavior codes, key functions, back functions, transfer seats and long-distance recording; the data query mode provides functions of querying data and replying users for the interface of the docking service;
the robot node behavior code is used for tracking which robot node the user hangs up on;
the keep function refers to a condition that the robot node returns to the last robot node after the dialogue of the robot node is completed;
the back function refers to the condition that the robot node returns to the last robot node after the dialogue of the robot node is completed;
the turning agent refers to turning a manual agent when a user hits the robot node;
the long-pass recording refers to uploading an audio file of the content broadcasted by the robot;
the interface query data of the docking service refers to interface addresses filled in by a client query system of robot docking; editing the robot node further comprises a user triggering condition; the user trigger condition comprises a common mode and a parameter condition mode; the common mode provides the service configuration of keywords, corpus, priority, user condition behavior codes, user labels, default robot nodes and hold lines; the parameter condition mode provides a matching condition for judging user attributes and walks away the designated robot node;
the keywords are bound with the corpus, and when the keywords are matched with the corresponding keywords, the corresponding corpus is played;
the priority is the priority when the keywords are matched;
the user condition behavior code is used for tracking which condition the user hangs up;
the user label is used for labeling the users meeting the robot node condition, and the label is displayed in the robot session detail;
the default robot node is a route which is used as a spam when the user says that the robot does not hit under other user conditions;
the hold line refers to a line which is taken by the robot when the user is silent;
the parameter conditions refer to parameters filled in by a user docking client query system;
in the first step, the editor is provided with a canvas for displaying the dialogue flow template in a flow graph; in the second step, editing operations include one or more of undoing, redoing, copying, pasting, deleting, enlarging, reducing, adapting to canvas, physical size, multi-selection, automatic layout, and searching operations;
the revocation refers to the revocation of the last operation;
the redo can withdraw the last undo operation;
the multi-selection can select a plurality of robot nodes, conditions or robot node conditions;
the replication may replicate a single or multiple robot nodes or robot node conditions;
the pasting is used for pasting the copied single or multiple robot nodes or robot node conditions;
the searching includes title, speaking, keywords or corpus contained in the searching process;
the deletion, deleting unnecessary lines, robot nodes or robot node conditions;
the amplifying is carried out, and the whole canvas is amplified;
the whole canvas is reduced by the reduction;
the adaptation canvas adapts the view to the whole canvas;
the actual size displays the actual size of the canvas;
the automatic layout is automatically aligned, and the positions of the robot nodes are adjusted;
in the third step, the test tool submits the dialogue flow template to model training before testing;
in the third step, the testing tool comprises a single-node test, a full-scale test and an interaction test;
the single node test is carried out on a single node, whether keyword corpora configured by user conditions conflict with each other or not is tested, specific conflict conditions are displayed, and conflict nodes are rapidly located;
the full test provides a batch expected result test by importing excel for a user, and is a comparison between the expected result and the actual result of the batch test of the user;
and the interaction test simulates the actual outbound condition, performs the dialogue between the user and the machine, positions the hit node, and rapidly positions the hit condition of the node.
2. The outbound flow production method based on flow production according to claim 1, wherein in the first step, the dialogue flow template imported into an editor is a blank flow template or a previously stored editor-generated dialogue flow template.
3. The outbound procedure creation method based on stream creation as defined in any one of claims 1 to 2 wherein the editor is web-based.
4. A flow based outbound procedure creation tool according to any one of claims 1 to 3, wherein the tool comprises the editor.
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| CN110879702A (en) * | 2019-11-21 | 2020-03-13 | 大唐网络有限公司 | Method for realizing visual speech configuration in intelligent voice outbound system |
| CN111745689B (en) * | 2020-07-16 | 2021-12-21 | 浙江百应科技有限公司 | Method for realizing voice robot automatic test through recording playback comparison |
| CN112328770A (en) * | 2020-11-17 | 2021-02-05 | 深圳壹账通智能科技有限公司 | Man-machine conversation text generating method, device, equipment and readable storage medium |
| CN113050509B (en) * | 2021-03-26 | 2022-03-11 | 杭州蓦然认知科技有限公司 | Scheduling method and device for man-machine coupling type outbound call |
| CN114780076A (en) * | 2022-04-07 | 2022-07-22 | 普强时代(珠海横琴)信息技术有限公司 | Web-based interface editing method and device, storage medium, and electronic device |
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Non-Patent Citations (2)
| Title |
|---|
| A survey on dialogue systems:Recent advances and new frontiers;Chen H et al;《ACM SIGKDD Explorations Newsletter》;第19卷(第2期);第74-108页 * |
| 呼叫中心外呼系统的应用与实现;李娟琴;刘海燕;张婕;张彦;;信息技术与信息化(第02期);第81-83页 * |
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