CN115567640A - AI-based intelligent outbound marketing analysis system - Google Patents
AI-based intelligent outbound marketing analysis system Download PDFInfo
- Publication number
- CN115567640A CN115567640A CN202111596394.8A CN202111596394A CN115567640A CN 115567640 A CN115567640 A CN 115567640A CN 202111596394 A CN202111596394 A CN 202111596394A CN 115567640 A CN115567640 A CN 115567640A
- Authority
- CN
- China
- Prior art keywords
- module
- user
- analysis
- screening
- customer service
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012216 screening Methods 0.000 claims abstract description 49
- 230000008451 emotion Effects 0.000 claims description 39
- 238000012544 monitoring process Methods 0.000 claims description 21
- 239000000284 extract Substances 0.000 claims description 9
- 230000036651 mood Effects 0.000 claims 3
- 238000013473 artificial intelligence Methods 0.000 abstract 2
- 238000000034 method Methods 0.000 description 4
- 238000013527 convolutional neural network Methods 0.000 description 3
- 230000002457 bidirectional effect Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M3/00—Automatic or semi-automatic exchanges
- H04M3/42—Systems providing special services or facilities to subscribers
- H04M3/50—Centralised arrangements for answering calls; Centralised arrangements for recording messages for absent or busy subscribers ; Centralised arrangements for recording messages
- H04M3/51—Centralised call answering arrangements requiring operator intervention, e.g. call or contact centers for telemarketing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/284—Lexical analysis, e.g. tokenisation or collocates
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
- G06F40/35—Discourse or dialogue representation
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
- G10L25/63—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for estimating an emotional state
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M3/00—Automatic or semi-automatic exchanges
- H04M3/42—Systems providing special services or facilities to subscribers
- H04M3/50—Centralised arrangements for answering calls; Centralised arrangements for recording messages for absent or busy subscribers ; Centralised arrangements for recording messages
- H04M3/51—Centralised call answering arrangements requiring operator intervention, e.g. call or contact centers for telemarketing
- H04M3/5183—Call or contact centers with computer-telephony arrangements
- H04M3/5191—Call or contact centers with computer-telephony arrangements interacting with the Internet
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computational Linguistics (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Signal Processing (AREA)
- General Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Acoustics & Sound (AREA)
- Business, Economics & Management (AREA)
- Human Computer Interaction (AREA)
- Artificial Intelligence (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Child & Adolescent Psychology (AREA)
- Hospice & Palliative Care (AREA)
- Psychiatry (AREA)
- Telephonic Communication Services (AREA)
Abstract
The invention discloses an intelligent outbound marketing analysis system based on AI (Artificial Intelligence), belonging to the technical field of outbound systems. And carrying out secondary analysis on the conversation content through a secondary call screening module, extracting keywords, evaluating the intention of the user through a human image through a nested module, carrying out formal adjustment on the secondary call marketing content, further screening potential customers of the intention, and conveniently improving the order rate.
Description
Technical Field
The invention belongs to the technical field of outbound systems, and particularly relates to an intelligent outbound marketing analysis system based on AI.
Background
Outbound (Outbound) means: the telephone automatically dials out the user telephone through the Computer, and plays the recorded voice to the user through the Computer, which is an indispensable component of the Integration modern customer service center system integrated with Computer telephone Telephony. The outbound marketing system is a platform specially designed according to the requirements of market customers and by integrating different requirements of different enterprise manufacturers in various industries.
For example, CN109636302A proposes a method and apparatus for configuring outbound rules, which includes: acquiring a user tag configured according to behavior data of a user; classifying the users through the configured user tags; and configuring an outbound identifier for each user classification and configuring outbound rules of the user classification according to user labels in the user classification. According to the technical scheme, the outbound rules which accord with the characteristics of the users are configured for the users of different types, and the outbound to the users is carried out according to the configured outbound rules, so that the outbound to the users is realized in a targeted manner, the call completing rate of the seat can be improved, and the working efficiency of the seat is improved. However, when the external calling rule configuration is performed according to the type of the user, certain errors exist in data, and the AI customer service can easily determine the highly-intended customer in the conversation process, so that manual customer service switching is facilitated, the ordering is rapidly completed, but the intention of the user is difficult to further divide and distinguish, and potential target users cannot be screened out rapidly according to the conversation.
Disclosure of Invention
The invention aims to provide an AI-based intelligent outbound marketing analysis system, which aims to solve the problem of the prior outbound marketing analysis system in the use process in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: AI-based intelligent outbound marketing analysis system comprises a number screening module, an information pushing module, a dialing strategy module and an outbound module, wherein the outbound module is connected with a secondary calling screening module, the secondary calling screening module delineates people, the secondary calling screening module is connected with a nested module, secondary screening is carried out on a user through the nested module, the outbound module calls and answers through the AI module, the AI module is connected with a knowledge base, the outbound module is connected with an artificial customer service intervention module, the artificial customer service intervention module is connected with an emotion monitoring module and is used for monitoring emotion of the artificial customer service, and the emotion monitoring module and the outbound module are connected with a fusing module.
Preferably, the number screening module is used for calling numbers from the database, screening the numbers, screening out blank numbers and wrong numbers, and acquiring number attributions, the number screening module is optionally connected with a user portrait library, and user portrait labels, numbers and number attributions are transmitted to the dialing strategy module through the number screening module.
Preferably, the information pushing module is used for sending information to the user for reminding before dialing, and sending a service staff telephone or a website link to the user after the call is completed.
Preferably, the dialing strategy module selects an outbound time period for dialing according to the allocated number and the number attribution and further according to the user portrait, and sends the user portrait label, the number and the number attribution to the AI module.
Preferably, the AI module extracts relevant dialogues from the knowledge base according to the user portrait label, the number attribution and the dialing time period, and carries out conversation with the user through the outbound module.
Preferably, the outbound module comprises a voice analysis module, a recording module and an emotion analysis module, the outbound module transmits the analysis results of the voice analysis module and the emotion analysis module to the AI module, the AI module calls or switches the conversation from the knowledge base according to the analysis results, and the recording module is used for recording the conversation, converting the conversation into characters and sending the conversation content to the knowledge base for storage.
Preferably, the speech analysis module analyzes and understands the user's answer, and the emotion analysis module is optionally independent of the speech analysis module and is used for capturing and analyzing the user's speech, intonation and speech speed.
Preferably, the secondary call screening module acquires the conversation content from the recording module, performs secondary analysis and retrieval on the words of the user after the call is ended, extracts the key words, performs figure portrayal on the user, and optionally calls the character analysis result of the emotion analysis module from the outbound module.
Preferably, the nested module is preset with a character image of a target user and a corresponding tag keyword, if the keyword or tag extracted from the secondary call screening module triggers the character image content in the nested module, the triggering information and the character image content are sent to the dialing strategy module, and the dialing strategy module selects a time period to perform secondary call according to the character image content.
Preferably, the fusing module is used for triggering when a user transmits negative information and low-intention information or when manual customer service transmits negative information, broadcasting an end word and forcibly hanging up the end word, the emotion monitoring module is used for monitoring emotion of the manual customer service and triggering the fusing module, and the manual customer service intervention module is used for switching to the manual customer service when the voice analysis module captures intention vocabularies.
Compared with the prior art, the invention has the beneficial effects that:
and carrying out secondary analysis on the conversation content through a secondary call screening module, extracting keywords, evaluating the intention of the user through a human image through a nested module, carrying out formal adjustment on the secondary call marketing content, further screening potential customers of the intention, and conveniently improving the order rate.
The outbound module can extract multidimensional information of the user, mine semantics and emotion of the user according to the dialogue information, further capture keywords, and further divide high-intention, medium-intention and low-intention client groups according to the number of overlapping intention keywords or labels of the nested module.
The manual customer service intervention module is further arranged to intervene in the outbound conversation condition, so that highly-intentioned customers can be captured in the conversation, detailed content communication can be performed quickly, the form is facilitated, and the fusing module is further arranged. Bidirectional monitoring is carried out, conversation contents can be carried out in high quality according to preset conversation contents, the emotion of customer service can be protected, and the influence of the emotion of manual customer service on customer relations is avoided.
Drawings
FIG. 1 is a schematic diagram of the present invention.
In the figure: 1. a number screening module; 2. an information push module; 3. a dialing strategy module; 4. an outbound module; 5. an AI module; 6. a secondary call screening module; 7. nesting the modules; 8. a fusing module; 9. a manual customer service intervention module; 10. an emotion monitoring module; 11. a knowledge base.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: AI-based intelligent outbound marketing analysis system, including number screening module 1, information push module 2, dialing strategy module 3, outbound module 4 is connected with secondary call screening module 6, secondary call screening module 6 carves out personage portrait, secondary call screening module 6 is connected with nested module 7, and carry out the secondary screening to the user through nested module 7, outbound module 4 calls the answer through AI module 5, AI module 5 is connected with knowledge base 11, outbound module 4 is connected with artifical customer service intervention module 9, artifical customer service intervention module 9 is connected with emotion monitoring module 10, be used for monitoring the emotion of artifical customer service, emotion monitoring module 10 all is connected with fusing module 8 with outbound module 4.
In the embodiment, because the person portrait analysis is carried out through the database, differences exist, and the personal data belong to the privacy information, the secondary call screening module 6 evaluates the intention of the user, so that high-intention, medium-intention and low-intention client groups can be divided, the secondary call marketing content can be conveniently adjusted in a conversational mode, potential clients with the intention can be further screened, and the order rate can be conveniently improved.
The further manual customer service intervention module 9 intervenes the outbound conversation state, so that high-intention customers can be captured conveniently in the conversation, detailed content communication can be performed quickly, and a help order is provided.
And the fusing module 8 is also arranged for bidirectional monitoring, so that conversation content can be carried out in a high-quality manner according to preset conversation content, the emotion of customer service can be protected, the influence on customer relations caused by the fact that the artificial customer service is not full of emotion is avoided, the fusing module 8 monitors the speaking content of the customer and the speaking content of the artificial customer service, and when a keyword is triggered, an end word is automatically broadcasted, and the conversation is forcibly closed.
Specifically, the number screening module 1 is used for calling numbers from a database, screening the numbers, screening out blank numbers and wrong numbers, and acquiring number attributions, the number screening module 1 is optionally connected with a user portrait library, and user portrait labels, the numbers and the number attributions are transmitted to the dialing strategy module 3 through the number screening module 1.
In this embodiment, the database is a number database, the user representation database optionally includes information such as gender, age, consumption preference and even occupation corresponding to the user number, and the database is not used as a main reference source of data and is only used as an optional reference analysis item because the user representation database is often difficult to obtain, and the data may have a certain error with the personal consumption intention and even may involve a user privacy problem.
The number screening module 1 screens out the blank numbers and wrong numbers, and transmits the numbers which are difficult to determine whether the numbers are the blank numbers and the wrong numbers to the dialing strategy module 3, so that the numbers are dialed in a non-working period, for example, in a time period after five pm.
Specifically, the information pushing module 2 is used for sending information to a user for reminding before dialing, and sending a service staff telephone or a website link to the user after the call is completed.
In this embodiment, before dialing, the user is prompted with information, and when the nested module 7 sends a secondary dialing instruction to the dialing policy module 3, the dialing policy module 3 may send the information prompt again through the information push module 2 before the outbound module 4 calls the user.
The information can be information push of the APP terminal or short messages.
Specifically, the dialing strategy module 3 selects an outbound time period for dialing according to the allocated number and the number attribution and further according to the user portrait, and sends the user portrait label, the number and the number attribution to the AI module 5.
In this embodiment, the dialing policy module 3 selects a dialing time period according to the assigned number and the number attribution.
Specifically, the AI module 5 extracts relevant dialogues from the knowledge base 11 according to the user portrait label, the number attribution and the dialing time period, and carries out conversation with the user through the outbound module 4.
In this embodiment, the knowledge base 11 is used for storing dialogs and corresponding voice information, and can also record and store the dialog information recorded by the outbound module 4, so as to facilitate case analysis, and in addition, can also provide a marketing information search function for manual customer service.
Specifically, the outbound module 4 comprises a voice analysis module, a recording module and an emotion analysis module, the outbound module 4 transmits the analysis results of the voice analysis module and the emotion analysis module to the AI module 5, the AI module 5 calls or switches the conversation from the knowledge base 11 according to the analysis results, and the recording module is used for recording the conversation, converting the conversation into characters and sending the conversation content to the knowledge base 11 for storage.
In this embodiment, in order to ensure the response speed of the voice conversation, the voice analysis module and the emotion analysis module select a corresponding convolutional neural network analysis model, which is fast but low in accuracy.
Specifically, the voice analysis module analyzes and understands the user answer, and the emotion analysis module is optionally independent of the voice analysis module and is used for capturing and analyzing the voice, the intonation and the speed of the user.
In this embodiment, the emotion analysis module is optionally independent of the voice analysis module, and is configured to capture and analyze the voice, the intonation, and the speech rate of the user, and analyze and determine the emotion of the user.
Specifically, the secondary call screening module 6 acquires the conversation content from the recording module, performs secondary analysis and retrieval on the words of the user after the call is ended, extracts key words, performs figure portrayal on the user, and optionally calls the character analysis result of the emotion analysis module from the outbound module 4.
In this embodiment, the secondary call screening module 6 may select a relatively accurate analysis model, optionally connect with a learning database respectively, and perform machine self-learning according to a dialog library, establish more accurate analysis data based on a CNN convolutional neural network algorithm, and capture keywords.
Specifically, the nested module 7 is preset with a character image of a target user and a corresponding tag keyword, if the keyword or tag extracted from the secondary call screening module 6 triggers the character image content in the nested module 7, the triggering information and the character image content are sent to the dialing strategy module 3, and the dialing strategy module 3 selects a time period to perform secondary call according to the character image content.
In this embodiment, the nested module 7 is provided with user figure images of target consumer groups corresponding to marketing products and user figure images of corresponding high-intention groups, the keywords screened by the secondary call screening module 6 can be retrieved in the nested module 7, the users are divided into high-intention clients, medium-intention clients and low-intention clients according to the number of the keywords or the labels retrieved in the nested module 7, the corresponding number user figure images and the subordinate high-intention, medium-intention and low-intention client groups are transmitted to the dialing strategy module 3, secondary dialing or even multiple dialing is performed, and the low-intention client groups can be set as non-dialing.
Specifically, the fusing module 8 is used for triggering when a user transmits negative information and low intention information or triggering when manual customer service transmits negative information, broadcasting an end word and forcibly hanging up, the emotion monitoring module 10 is used for monitoring emotion of the manual customer service and triggering the fusing module 8, and the manual customer service intervention module 9 is used for switching to the manual customer service when the voice analysis module captures intention vocabularies.
In this embodiment, the negative information may be an uncertainly language analyzed by the speech analysis module, the low intention information includes information that the user explicitly rejects promotion such as language and rejection, and the intention vocabulary may be good or fair.
The emotion monitoring module 10 is used for monitoring emotion of the artificial customer service and monitoring emotion of the customer service, and the artificial customer service intervention module 9 can also be used for portraying people for the customer service so as to distribute customers in a targeted mode.
The method for applying the AI-based intelligent outbound marketing analysis system specifically comprises the following steps:
the number screening module 1 calls numbers from a database, screens the numbers, screens out blank numbers and wrong numbers, acquires number attributions, and transmits the numbers, the number attributions and the user portrait library to the dialing strategy module 3 through the number screening module 1, and transmits the numbers which are partially difficult to determine whether the numbers are the blank numbers and the wrong numbers to the dialing strategy module 3 so as to dial the numbers in a non-working period;
the information push module 2 sends information to a user for reminding before dialing;
the dialing strategy module 3 selects an outbound time period for dialing according to the allocated number and the number attribution, and sends a user portrait label, the number and the number attribution to the AI module 5;
the AI module 5 extracts relevant dialogues from the knowledge base 11 according to the user portrait labels, numbers, number attributions and dialing time periods, and carries out conversation with the user through the outbound module 4;
the outbound module 4 transmits the analysis results of the voice analysis module and the emotion analysis module to the AI module 5, the AI module 5 calls or switches the speech from the knowledge base 11 according to the analysis results, the manual customer service intervention module 9 switches to the manual customer service when the voice analysis module catches the intention vocabularies, and the fusing module 8 triggers when the user transmits negative information and low intention information or triggers when the manual customer service transmits negative information, broadcasts an end word and forcibly hangs up the end word;
after the call is completed, the information pushing module 2 sends a service staff telephone or a website link to the user;
the secondary call screening module 6 acquires the conversation content from the recording module, performs secondary analysis and retrieval on the words of the user after the conversation is finished, extracts key words, performs figure portrayal on the user, and optionally calls a character analysis result of the emotion analysis module from the outbound module 4;
if the key words or labels extracted from the secondary call screening module 6 trigger the character image content in the nesting module 7, the triggering information and the character image content are sent to the dialing strategy module 3, and the dialing strategy module 3 selects a time period to carry out secondary call according to the character image content.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. AI-based intelligent outbound marketing analysis system, characterized in that: including number screening module (1), information propelling movement module (2), dialing strategy module (3), call module (4) outward and be connected with secondary call screening module (6), secondary call screening module (6) carves out the personage and portrays, secondary call screening module (6) are connected with nested module (7) to carry out the secondary screening to the user through nested module (7), call module (4) outward and call the answer through AI module (5), AI module (5) are connected with knowledge base (11), call module (4) outward and be connected with artifical customer service intervention module (9), artifical customer service intervention module (9) are connected with mood monitoring module (10) for monitor the mood of artifical customer service, mood monitoring module (10) with call module (4) outward and all be connected with fusing module (8).
2. The AI-based intelligent outbound marketing analysis system of claim 1, wherein: the number screening module (1) is used for calling numbers from a database, screening the numbers, removing empty numbers and wrong numbers, and acquiring number attributions, the number screening module (1) is optionally connected with a user portrait library, and user portrait labels, the numbers and the number attributions are transmitted to the dialing strategy module (3) through the number screening module (1).
3. The AI-based intelligent outbound marketing analysis system of claim 1, wherein: the information pushing module (2) is used for sending information to a user for reminding before dialing and sending a service staff telephone or a website link to the user after the call is completed.
4. The AI-based intelligent outbound marketing analysis system of claim 2, wherein: and the dialing strategy module (3) selects an outbound time period for dialing according to the allocated number and the number attribution and further according to the user portrait, and sends a user portrait label, the number and the number attribution to the AI module (5).
5. The AI-based intelligent outbound marketing analysis system of claim 4 wherein: the AI module (5) extracts relevant dialogues from the knowledge base (11) according to user portrait labels, numbers, number attributions and dialing time periods, and carries out conversation with the user through the outbound module (4).
6. The AI-based intelligent outbound marketing analysis system of claim 1 wherein: the calling module (4) comprises a voice analysis module, a recording module and an emotion analysis module, the calling module (4) transmits the analysis results of the voice analysis module and the emotion analysis module to the AI module (5), the AI module (5) calls or switches the conversation from the knowledge base (11) according to the analysis results, and the recording module is used for recording the conversation and converting characters and sending the conversation content to the knowledge base (11) for storage.
7. The AI-based intelligent outbound marketing analysis system of claim 6, wherein: the voice analysis module analyzes and understands the user answer, and the emotion analysis module is optionally independent of the voice analysis module and is used for capturing and analyzing the voice, tone and speed of the user.
8. The AI-based intelligent outbound marketing analysis system of claim 6 wherein: the secondary call screening module (6) acquires conversation contents from the recording module, performs secondary analysis and retrieval on the words of the user after the conversation is finished, extracts key words, performs figure portrayal on the user, and optionally calls a character analysis result of the emotion analysis module from the outbound module (4).
9. The AI-based intelligent outbound marketing analysis system of claim 1 wherein: the character image and the corresponding label key words of the target user are preset in the nesting module (7), if the key words or labels extracted from the secondary call screening module (6) trigger the character image content in the nesting module (7), the triggering information and the character image content are sent to the dialing strategy module (3), and the dialing strategy module (3) selects a time period to carry out secondary call according to the character image content.
10. The AI-based intelligent outbound marketing analysis system of claim 7 wherein: the system comprises a fusing module (8), an emotion monitoring module (10), a manual customer service intervention module (9) and a voice analysis module, wherein the fusing module (8) is used for triggering when a user transmits negative information and low intention information or triggering when manual customer service transmits negative information, broadcasting an end word and forcibly hanging up, the emotion monitoring module (10) is used for monitoring emotion of the manual customer service and triggering the fusing module (8), and the manual customer service intervention module (9) is used for switching to the manual customer service when the voice analysis module captures intention vocabularies.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111596394.8A CN115567640A (en) | 2021-12-24 | 2021-12-24 | AI-based intelligent outbound marketing analysis system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111596394.8A CN115567640A (en) | 2021-12-24 | 2021-12-24 | AI-based intelligent outbound marketing analysis system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115567640A true CN115567640A (en) | 2023-01-03 |
Family
ID=84736581
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111596394.8A Pending CN115567640A (en) | 2021-12-24 | 2021-12-24 | AI-based intelligent outbound marketing analysis system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115567640A (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107317942A (en) * | 2017-07-18 | 2017-11-03 | 国家电网公司客户服务中心南方分中心 | A kind of call center's customer service system is recognized and monitoring system with online voice mood |
| CN110298682A (en) * | 2019-05-22 | 2019-10-01 | 深圳壹账通智能科技有限公司 | Intelligent Decision-making Method, device, equipment and medium based on user information analysis |
| CN113408846A (en) * | 2021-05-10 | 2021-09-17 | 山东御银智慧金融设备有限公司 | Telephone marketing management method and system based on AI artificial intelligence |
-
2021
- 2021-12-24 CN CN202111596394.8A patent/CN115567640A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107317942A (en) * | 2017-07-18 | 2017-11-03 | 国家电网公司客户服务中心南方分中心 | A kind of call center's customer service system is recognized and monitoring system with online voice mood |
| CN110298682A (en) * | 2019-05-22 | 2019-10-01 | 深圳壹账通智能科技有限公司 | Intelligent Decision-making Method, device, equipment and medium based on user information analysis |
| CN113408846A (en) * | 2021-05-10 | 2021-09-17 | 山东御银智慧金融设备有限公司 | Telephone marketing management method and system based on AI artificial intelligence |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112804400B (en) | Customer service call voice quality inspection method and device, electronic equipment and storage medium | |
| US9437215B2 (en) | Predictive video analytics system and methods | |
| CN111026843B (en) | Artificial intelligent voice outbound method, system and storage medium | |
| CN112492111B (en) | Intelligent voice outbound method, device, computer equipment and storage medium | |
| CN108764649B (en) | Insurance sales real-time monitoring method, device, equipment and storage medium | |
| US7596498B2 (en) | Monitoring, mining, and classifying electronically recordable conversations | |
| CN110610705B (en) | Voice interaction prompter based on artificial intelligence | |
| CN106406806A (en) | A control method and device for intelligent apparatuses | |
| CN111683175B (en) | Method, device, equipment and storage medium for automatically answering incoming call | |
| KR20210028480A (en) | Apparatus for supporting consultation based on artificial intelligence | |
| CN112885348A (en) | AI-combined intelligent voice electric marketing method | |
| CN109995953A (en) | A kind of system and method for intelligence electricity pin | |
| CN110705926A (en) | Method, device and system for acquiring logistics object distribution information | |
| CN112235470B (en) | Incoming call client follow-up method, device and equipment based on voice recognition | |
| CN114328867A (en) | Intelligent interruption method and device in man-machine conversation | |
| CN115982331A (en) | Information interaction method, device and equipment in session scene | |
| CN117236909A (en) | Recruitment offer method, device, equipment and storage medium based on AI | |
| CN113111157B (en) | Question-answer processing method, device, computer equipment and storage medium | |
| CN109166574A (en) | Information crawl and broadcasting system for robot of supporting parents | |
| CN112185383A (en) | Processing method and system for customer service return visit | |
| CN115567640A (en) | AI-based intelligent outbound marketing analysis system | |
| CN111683174A (en) | Incoming call processing method, device and system | |
| CN110765242A (en) | Method, device and system for providing customer service information | |
| CN114189589A (en) | Customer service outbound management system | |
| CN110519470A (en) | A kind of method of speech processing, server and audio access device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |