CN109658132A - A kind of sale effect artificial intelligence analysis's method and system - Google Patents
A kind of sale effect artificial intelligence analysis's method and system Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
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- G06F40/216—Parsing using statistical methods
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- G—PHYSICS
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- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/28—Constructional details of speech recognition systems
- G10L15/30—Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
Abstract
The present invention relates to a kind of sale effect artificial intelligence analysis's methods, first by collecting the voice data talked between sales force and customer in the voice collecting device that different strategic locations are arranged and uploading to cloud server；Then voice data is downloaded from cloud server by central server and identifies the sale keyword being positively correlated with sales achievement, it recycles artificial intelligence deep learning algorithm to carry out data analysis to the sale keyword of identification and then establishes the relationship computation model of sale keyword and sale effect, then sale analysis of related results is carried out according to the model calculation, artificial intelligence technology is applied in retail trade by this method in a creative way, sale analysis of related results can be obtained to objective reality as a result, the training and learning for retail locations or enterprise marketing personnel provides guidance foundation.The invention further relates to a kind of sale effect artificial intelligence analysis's systems.
Description
Technical field
The present invention relates to artificial intelligence analysis's technical fields, and in particular to a kind of sale effect artificial intelligence analysis method and
System.
Background technique
All trades and professions have sales force and sales force plays important angle in the activity for serving client
Color, especially in retail business, sales force can be direct as the first-line staff linked up face-to-face with customer, language and intonation etc.
Influence customer purchase as a result, different sales forces also can be because word different in language or intonation make its respective sale
Achievement generates larger difference, however why not all have no way of learning as traditional retail shop etc. with sales force can generate difference
Sales achievement, do not know that each sales force said in sales process, how to have said, so want to promote sale people yet
The sales achievement of member is relatively difficult, and retail shop wants that inefficient sales force is allowed to use for reference art/experience if efficient sales force
Deng also highly difficult.In addition, the presence of the indexes such as satisfaction that retail business businessman's special investigation obtains cannot be real with sale analysis of related results
The disadvantages of existing efficient association, and existing Satisfaction Research be difficult to help the profound cause of retailer's mining data behind and
Substantial worth discovery that may be present.
Increasingly mature with technology, artificial intelligence has not been a fresh concept, in the application of sales industry
It is more and more extensive, but be mostly exactly at present to apply during promotion, in the application that the sale effect of retail business is promoted
But do not have almost.In the classical sales process of retail business, six steps are generally comprised: first is that greeting customer；Second is that product is situated between
It continues；Third is that customer is encouraged to attempt product；Fourth is that providing specialized guidance and praise appropriate for client；Fifth is that the completion that removes obstacles is handed over
Easily；Sixth is that payment process.Six steps namely six scenes, if wanting to effectively improve sale effect, then in each scene
Require promoted sales force sales force, so how using artificial intelligence technology improve retail buisness sales effect become compared with
For feasible research direction.
Summary of the invention
The present invention can not effectively promote the sale effect of each sales force, can not effectively instruct to train for existing retail business
The problem of sales force, provides a kind of sale effect artificial intelligence analysis's method, which effectively collects sales force and customer
Between carry out data analysis after the magnanimity voice data talked with, can obtain to objective reality sale analysis of related results as a result, simultaneously can
Retailer is allowed to plan sales technique according to the analysis result, enough so as to greatly promote the sale effect of retail shop.This hair
It is bright to additionally provide a kind of sale effect voice artificial intelligence analysis's system.
Technical scheme is as follows:
A kind of sale effect artificial intelligence analysis's method, first the voice collecting device by being arranged in different strategic locations
It collects the voice data talked between sales force and customer and uploads to cloud server；Then pass through central server from cloud
End server downloads the voice data and identifies the sale keyword being positively correlated with sales achievement, recycles artificial intelligence
Deep learning algorithm carries out data analysis to the sale keyword of identification and then establishes the relationship of sale keyword and sale effect
Then computation model carries out sale analysis of related results according to the model calculation.
Preferably, the central server is after the cloud server downloading voice data, first to the voice data
Carry out the statistical result that word Information Statistics obtain word title and frequency of use；Further according to the system of word title and frequency of use
Meter result identifies the sale keyword being positively correlated with sales achievement；It is poor in conjunction with intonation according to sale keyword identification result
It is different to identify the sale intonation being positively correlated with sales achievement；Then using artificial intelligence deep learning algorithm synthesis according to sale
Keyword identification result and sale intonation identification result carry out data and analyze and then establish sale keyword, sale intonation and sale
The relationship computation model of effect carries out sale analysis of related results according to the model calculation.
Preferably, different strategic locations set by the voice collecting device are the different positions in retail locations or enterprise
It sets, with including but not limited to each sales force, on metope, on desktop, at ceiling and at sales counter.
Further, establish sale keyword, sale intonation and sell effect relationship computation model while also according to
Satisfaction Index professional investigation result, which combines, to be passed through client identity that face recognition technology determines and is associated with after sale effect from language
Satisfaction keyword relevant to sale effect is analyzed in sound data, then comprehensive according to the satisfaction keyword and the mould
Type calculated result carries out sale analysis of related results.
Still further, central server is based on Satisfaction Index professional investigation result, in conjunction with passing through recognition of face
The determining client identity of technology is simultaneously associated with after sale effect herein in connection with the video content progress alternate analysis acquired by video camera, really
Determine the scene of satisfaction variation, obtains the reason of satisfaction changes to be analyzed and to be handled.
Preferably, the sale analysis of related results result that sale analysis of related results generates is carried out to include but is not limited to word title and make
With frequency statistics result, sale keyword identification result, sale intonation identification result, satisfaction keyword；
And/or the sale analysis of related results result is directly passed to retail locations or to be presented on smart machine terminal indirect
Retailer is passed to so that sales force gives study training.
A kind of sale effect voice artificial intelligence analysis's system, including sequentially connected voice collecting device, cloud service
Device and central server, the voice collecting device setting collect sales force by voice collecting device in different strategic locations
The voice data talked between customer simultaneously uploads to cloud server；The central server is from described in cloud server downloading
Voice data simultaneously identifies the sale keyword being positively correlated with sales achievement, recycles artificial intelligence deep learning algorithm to knowledge
Other sale keyword carries out data and analyzes and then establish sale keyword and sell the relationship computation model of effect, then basis
The model calculation carries out sale analysis of related results.
Preferably, the central server includes sequentially connected word Information Statistics unit, keyword discriminating unit, language
Tune discriminating unit, relationship computation model establish unit and sale analysis of related results unit and keyword discriminating unit is also connected to relationship
Computation model establishes unit, and the word Information Statistics unit is from the cloud server downloading voice data and to the voice
Data carry out the statistical result that word Information Statistics obtain word title and frequency of use, and the keyword discriminating unit is according to word
The statistical result of language title and frequency of use identifies the sale keyword being positively correlated with sales achievement, and the intonation identifies single
Member identifies the sale intonation being positively correlated with sales achievement, relationship in conjunction with intonation difference according to sale keyword identification result
Computation model establishes unit using artificial intelligence deep learning algorithm synthesis according to sale keyword identification result and sale intonation
Identification result carries out data and analyzes and then establish sale keyword, sale intonation and the relationship computation model for selling effect, described
It sells analysis of related results unit and sale analysis of related results is carried out according to the model calculation.
Preferably, different strategic locations set by the voice collecting device are the different positions in retail locations or enterprise
It sets, with including but not limited to each sales force, on metope, on desktop, at ceiling and at sales counter.
Further, the central server further includes satisfaction keywords analyzing unit, the satisfaction keyword point
Analysis unit is connected with sales technique planning unit；The satisfaction keywords analyzing unit is according to Satisfaction Index professional investigation knot
Fruit combines the client identity determined by face recognition technology and analyzes and sell from voice data after being associated with sale effect
The relevant satisfaction keyword of effect, the sale analysis of related results unit comprehensive is according to satisfaction keyword and the model calculation
Carry out sale analysis of related results.
Technical effect of the invention is as follows:
The present invention relates to a kind of sale effect artificial intelligence analysis's methods, and in different strategic locations, setting voice, which is collected, sets
It is standby, by collecting the voice data (being interpreted as magnanimity voice data) talked between sales force and customer and uploading to cloud clothes
Business device, identifies the sale keyword being positively correlated with sales achievement, recycles artificial intelligence after then being downloaded by central server
Energy deep learning algorithm carries out data analysis to the sale keyword of identification, to big data by the way of machine learning, by pin
It sells keyword to be associated with sale effect foundation, establishes sale keyword and sell the relationship computation model of effect, that is to say, that know
Not Xiao Shou keyword, the frequency of use of firm sale keyword, can connect to sale effect (or perhaps result), then
Sale analysis of related results is carried out according to the model calculation so that retailer carries out sales technique plan according to sale analysis of related results result
Draw, this method artificial intelligence technology is applied in retail trade in a creative way (can be applied to each retail shop, sales field or
Person is sold electric business enterprise, company etc.), by monitoring the dialogue of customer and sales force, talk between sales force and customer
It is analyzed, executes deep learning, can obtain to objective reality sale analysis of related results as a result, simultaneously can be according to the analysis result
It allows retailer that sales technique planning is effectively performed, timely and accurately analyzes the sales technique of the sales force in buying behavior
And there are the problem of, also it is available improve sale keyword, properly carry out sale conversion with these keywords, thus
Guidance foundation is provided for the training and learning of retail locations or enterprise marketing personnel, and then the pin of retail locations or enterprise is substantially improved
Sell effect.
It further, preferably can be with after the central server of this method downloads the voice data from cloud server
It is interpreted as successively executing word Information Statistics step, keyword identification step, intonation identification step, relationship computation model foundation step
Rapid and sales technique plans step, can either count to word title and frequency of use in voice data, and can be accordingly
Carry out keyword identify and intonation identify with find out and sales achievement (and/or consumption sum) sale keyword for being positively correlated and
Intonation is sold, so that the speaking skill in unknowable sales process becomes it is found that and can be provided with for sales technique planning
The foundation of power identifies followed by artificial intelligence deep learning algorithm synthesis according to sale keyword identification result and sale intonation
As a result it carries out data to analyze and then establish sale keyword, sale intonation and the relationship computation model for selling effect, according to model
Calculated result carries out sale analysis of related results, is even more directly presented in sale analysis of related results using these suitable keywords and intonation
As a result in, training and learning foundation is provided for the sales force of retail locations or enterprise, sales technique and accordingly can be grasped
Sale conversion is carried out, it is final to realize the purpose for promoting sale effect.
Further, the present invention sells effect artificial intelligence analysis method and is establishing sale keyword, sale intonation and pin
Also according to Satisfaction Index professional investigation result in conjunction with true by face recognition technology while selling the relationship computation model of effect
Fixed client identity simultaneously analyzes satisfaction keyword relevant with effect is sold after being associated with sale effect from voice data, then
It is comprehensive that sale analysis of related results is carried out so that retailer is according to sale according to the satisfaction keyword and the model calculation
Analysis of related results result carries out sales technique planning, in this way, passing through analysis Customer Satisfaction Index professional investigation result, it will be appreciated that
Customer, to the true idea and satisfaction of sale product and service, specifies the demand of customer under nonsensory state, excavates
The latent demand of customer is associated in sale effect after determining client identity in conjunction with face recognition technology, can by association
Clearly analyze Satisfaction Index is high, during the good voice dialogue of sale effect sales force said which word or,
Namely which satisfaction keyword said, it is comprehensive by the satisfaction keyword and the model calculation that analyze accordingly
Carry out sale analysis of related results as a result, it is possible to preferably serve as retailer carry out sales technique planning foundation, to sale at
Effect plays the role of further promoting to rise.
The invention further relates to a kind of sale effect artificial intelligence analysis's system, the system and above-mentioned present invention sale at
It is corresponding to imitate artificial intelligence analysis's method, it is understood that be to realize that present invention sale effect artificial intelligence analysis method is
System, voice collecting device collect the voice data (being interpreted as magnanimity voice data) talked between sales force and customer and on
Pass to cloud server, central server from cloud server downloading voice data it is carried out the identification of sale keyword and
It carries out data analysis in conjunction with artificial intelligence deep learning algorithm and establishes sale keyword and sell the relationship computation model of effect,
Then sale analysis of related results is carried out according to the model calculation and sales technique is planned, which will sell keyword in a creative way
It establishes the link with sale effect, reflects according to the result analyzed the dialogue between sales force and customer and using keyword
The result (not identified preferably in combination with intonation) is established sale keyword and is sold in turn with the relationship computation model for selling effect
Analysis of related results carries out sales technique planning according to sale analysis of related results result for retailer, can be the training of sales force
It practises and reasonable foundation is provided, while the sale effect of retail locations or enterprise, highly effective can also be greatly promoted.
Detailed description of the invention
Fig. 1: for a kind of the first preferred flow charts for selling effect artificial intelligence analysis method of the present invention.
Fig. 2: for a kind of second of preferred flow charts for selling effect artificial intelligence analysis method of the present invention.
Fig. 3: for a kind of particular preferred embodiment for selling effect artificial intelligence analysis method of the present invention.
Fig. 4: identify preferred embodiment for a kind of keyword for selling effect artificial intelligence analysis method of the present invention.
Fig. 5: for a kind of structural schematic diagram for selling effect artificial intelligence analysis system of the present invention.
Fig. 6: for a kind of the first preferred structure figure for selling effect artificial intelligence analysis system of the present invention.
Fig. 7: for a kind of second of preferred structure figure for selling effect artificial intelligence analysis system of the present invention.
Specific embodiment
The present invention relates to a kind of sale effect artificial intelligence analysis's method, first by being arranged in different strategic locations
Voice collecting device is collected the voice data (being interpreted as magnanimity voice data) talked between sales force and customer and is uploaded to
Cloud server；Then voice data is downloaded from cloud server by central server and identified with sales achievement in positive
The sale keyword of pass recycles artificial intelligence deep learning algorithm to carry out data analysis to the sale keyword of identification and then builds
Vertical pin sells keyword and sells the relationship computation model of effect, then carries out sale analysis of related results according to the model calculation.This
Artificial intelligence technology is applied in retail trade by method in a creative way, by monitoring the dialogue of customer and sales force, then benefit
Manually intelligent deep learning algorithm analyzes dialogue between sales force and customer, executes deep learning, can be objective
Sale analysis of related results is truly obtained as a result, simultaneously can allow retailer that sales technique plan is effectively performed according to the analysis result
Draw, timely and accurately analyze in buying behavior the sales technique of sales force and there are the problem of, also available improvement
The keyword of sale properly carries out sale conversion with these keywords, to be retail locations or enterprise marketing personnel
Foundation is instructed in training and learning offer, and then the sale effect of retail locations or enterprise is substantially improved, and increases Operating profit.
It is further detailed to a kind of sale effect artificial intelligence analysis's method progress of the present invention with reference to the accompanying drawing
Explanation.
Fig. 1 is a kind of the first preferred flow charts for selling effect artificial intelligence analysis method of the present invention, as shown, this
Method is first by collecting the voice talked between sales force and customer in the voice collecting device that different strategic locations are arranged
Data (namely magnanimity voice data or a large amount of voice data) simultaneously upload to cloud server, when being collected simultaneously multiple retail locations
Or enterprise dialogic voice data when, multiple voice collecting devices of each retail locations are worked at the same time to collect a large amount of voice number
According to the dialogic voice data of each retail locations can be compiled after uploading to cloud server according to pre-set different places
Number carrying out classification storage to each retail locations data carries out sale effect point for particular retail place or enterprise in order to subsequent
Analysis, or according to dialogic voice data of the article for sale classification to multiple retail locations stored respectively after summarizing by article for sale classification with
Sale analysis of related results is carried out according to article for sale classification convenient for subsequent；The voice number is downloaded from cloud server using central server
According to rear, the statistical result that word Information Statistics obtain word title and frequency of use first is carried out to the voice data；Further according to
The statistical result of word title and frequency of use identifies the sale keyword being positively correlated with sales achievement；It is crucial according to sale
Word identification result identifies the sale intonation being positively correlated with sales achievement in conjunction with intonation difference；Then deep using artificial intelligence
It spends learning algorithm synthesis and carries out data analysis and then establish to sell according to sale keyword identification result and sale intonation identification result
Sell keyword, sale intonation and the relationship computation model for selling effect；Sale effect point is finally carried out according to the model calculation
Analysis, so that retailer carries out sales technique planning according to sale analysis of related results result, certain this method can also be according to retailer visitor
The demand utilization artificial intelligence technology at family etc. carries out intelligent sales technique planning.This method passes through the voice of more strategic locations first
Collecting device collects the voice data of a large amount of sales force and customer interview, and identifies sale keyword and sale language
It adjusts, artificial intelligence deep learning algorithm is recycled to carry out data analysis to the sale keyword of identification and sale intonation, it is especially right
Big data is associated with by the way of machine learning, by sale keyword, sale intonation with sale effect foundation, and it is crucial to establish sale
Word, sale intonation and the relationship computation model for selling effect, that is to say, that identification sale keyword, firm sale keyword
Frequency of use, and the sale intonation of identification is combined, it can connect to sale effect (or perhaps result), further according to model
Calculated result carries out sale analysis of related results and sales technique planning, more specifically, additionally it is possible to be directed to specific sales force, in detail
Facilitate those sales orders in conjunction with the sales force, which items for merchandising sell is, then analyze and sold in sales process
Which language personnel speak, and realize the sales order of the sales force and the one-to-one association of its discourse content, judge its pin
Level is sold, so as to the later period more accurate sales achievement for effectively promoting the sales force, this method is in a creative way by artificial intelligence
Can technical application (can be applied to each retail shop, sales field or retail electric business enterprise, company etc.) into retail trade, lead to
The dialogue for crossing monitoring customer and sales force analyzes dialogue between sales force and customer, executes deep learning, can
Sale analysis of related results is obtained to objective reality as a result, simultaneously can allow retailer that sales technique is effectively performed according to the analysis result
Planning, timely and accurately analyze in buying behavior the sales technique of sales force and there are the problem of, it is also available to change
Into the keyword and sale intonation of sale, sale conversion properly is carried out with these keywords and intonation, thus for retail field
Foundation is instructed in ground or the offer of the training and learning of enterprise marketing personnel, and then the sale effect of retail shop is substantially improved.
Preferably, different strategic locations set by the voice collecting device are the different positions in retail locations or enterprise
Set, with including but not limited to each sales force, on metope, on desktop, at ceiling and at sales counter, i.e., in retail shop, sell
Several voice collecting devices are arranged in the position that the inner space of numerous retail locations such as field or retail electric business enterprise is different,
It can be worn over sales force, also can be set on metope, on desktop, on ceiling, at sales counter and other can be convenient for
On the position of Multi-orientation multi-angle real-time collecting sales force and customer interview, thus, it is possible to guarantee the real-time of voice data,
It is rich, comprehensive, fine definition dialogue is closely acquired, so that subsequent data analysis result is more reliable.
Still further, such as a kind of second of preferred flow charts for selling effect artificial intelligence analysis method of Fig. 2 present invention
Shown, this method is while establishing sale keyword, sale intonation and selling the relationship computation model of effect, also according to satisfaction
Spend index professional investigation result (usually by providing result data after each retail shop/enterprise's professional investigation, certainly also by with it is special
Industry investigation apparatus be directly linked obtain result data) combine pass through face recognition technology determine client identity and be associated with sale at
Satisfaction keyword relevant to sale effect is analyzed after effect from voice data, then comprehensive according to the satisfaction keyword
Sale analysis of related results is carried out with the model calculation.Namely when carrying out sales technique planning, not only to consider to sell
Keyword, sale intonation are to the relative influence of sales achievement, it is also contemplated that relative influence of the satisfaction keyword to sale effect,
Thus comprehensive to make reasonable sales technique planning, customer can be understood under non-state of feeling to the true of sale product and service
Real idea and satisfaction specify the demand of customer, excavate the latent demand of customer, for subsequent analysis and processing provide effectively according to
According to determining and be associated with after client identity in sale effect in conjunction with face recognition technology, can clearly be analyzed by association full
During the voice dialogue that meaning degree index is high, sale effect is good sales force said which word or, namely which was said
Satisfaction keyword carries out sale effect by the satisfaction keyword and the model calculation synthesis that analyze accordingly
Analysis as a result, it is possible to preferably serve as retailer carry out sales technique planning foundation；It is further preferred that customer satisfaction
Index is also possible to have certain relationship with intonation, can be with therefore when analyzing Satisfaction Index professional investigation result
Influence in view of intonation to Customer Satisfaction Index, it is proposed that retail shop or enterprise provide the satisfaction for combining intonation investigation
Index professional investigation result further analyzes after analyzing satisfaction keyword as a result, relevant to satisfaction is satisfied with language
It adjusts, namely analyzes the intonation that is satisfied with for influencing sale effect by influencing Satisfaction Index, and then comprehensive according to satisfaction
Keyword is satisfied with intonation and the model calculation carries out sale analysis of related results, joined the element of intonation evaluation Satisfaction Index,
More close to the true emotional state of customers, more meet the consumption propensity of customer under natural conditions and consumption as a result, making whole
The sale analysis of related results result of body is more accurate reliable, can effectively improve sale effect, also play promotion to sales achievement
Effect.
Further combined with specific embodiment shown in Fig. 3, this method preferably can be understood as successively executing voice data
Acquisition step, voice data preliminary analysis step, artificial intelligence deep learning step and sale analysis of related results result export step,
Three steps carry out in central server after wherein, specific table, data under voice step is first by different wars
The voice collecting device of slightly position setting collects the voice data talked between sales force and customer and (is interpreted as magnanimity voice number
According to) and upload to cloud server；Then during voice data preliminary analysis step is downloaded to from the voice data of cloud server
Central server carries out the statistical result that word Information Statistics obtain word title and frequency of use to voice data, then identifies
The sale keyword being positively correlated out with sales achievement, the sale being positively correlated with sales achievement is identified in conjunction with intonation difference
Intonation further referred to as can successively execute word Information Statistics step, keyword identification step, intonation to this and identify step,
Then the statistical result of word title and frequency of use, sale keyword, sale intonation are stored to speech data analysis knot
Fruit database can either count word title and frequency of use in voice data, and can carry out keyword identification accordingly
Identify with intonation to find out the sale keyword being positively correlated with sales achievement (and/or consumption sum) and sale intonation, so that
Speaking skill in unknowable sales process becomes it is found that and can plan to provide strong foundation for sales technique；In people
Data basis of the work intelligent deep learning procedure based on speech data analysis result database simultaneously combines sales force's information data
Multiple supplementary numbers such as library, store information database, merchandise sales classification and amount information database, satisfaction keyword database
It is final to carry out data analysis using artificial intelligence deep learning algorithm synthesis according to any one in library or the data of several databases
Establishing various data in turn (influences the various factors data of sale effect, such as: word, sale intonation, is sold sale keyword
Personnel's experience level, shop geographical location, shop scale, merchandise classification, satisfaction keyword etc.) with sale effect relationship
Computation model；Then sale analysis of related results result output step carries out sale analysis of related results according to comprehensive the model calculation,
The sale analysis of related results including integrating result etc. comprising the efficiently integrated result of words art, efficient satisfaction is obtained as a result, for retail
Quotient carries out sales technique planning according to sale analysis of related results result.Namely preferably, this method can also collect sales force
Information material, retail shop/enterprise sales order data and retail shop/enterprise geographic position data etc. may shadow
The Various types of data for ringing sale effect, is stored in each auxiliary data base, naturally it is also possible to which Various types of data is uploaded to cloud
Server and category distinguish storage, when needing any class data, central server download together such data carry out analysis and
Processing；When carrying out artificial intelligence deep learning step, data basis and combination based on speech data analysis result database
Sales force's information database, store information database, merchandise sales classification and amount information database, satisfaction keyword number
According to the data of any one or several databases in multiple auxiliary data bases such as library, artificial intelligence deep learning algorithm is finally utilized
The comprehensive data that carry out are analyzed and then are established Various types of data and sell the relationship computation model of effect and combine to sales force and care for
The analysis result of objective dialogue data is comprehensive to make sale analysis of related results, such as when the horizontal irregular possible shadow of consideration sales force
When ringing the factor of sale effect, the information material of sales force can be collected, including each sales force there are several years experiences, past respectively
Per day moon transaction count be it is how many, toward the per day transaction highest unit price information that is how many etc., newly introduce different sales forces
It is after the factor of sale effect Different Effects, sales force's information material is associated with sale effect, and pass through people's intelligent machine
The case where device learning method analyzes outstanding sales force or the difference for analyzing outstanding sales force Yu common sales force,
It is incorporated into the model calculation obtained according to sale keyword, sale intonation, finally synthesis is sold into accordingly
Effect analysis carries out sales technique planning according to sale analysis of related results result for retailer, so that the foundation of skill planning is also more
It is precisely reliable.To sum up, artificial intelligence technology is applied in retail trade by this method in a creative way, passes through monitoring customer and sale
The dialogue of personnel recycles artificial intelligence deep learning algorithm to analyze dialogue between sales force and customer, executes depth
Degree study, can obtain to objective reality sale analysis of related results as a result, can simultaneously be allowed according to the analysis result retailer effectively
Carry out sales technique planning, timely and accurately analyze in buying behavior the sales technique of sales force and there are the problem of,
Also it is available improve sale keyword, properly carry out sale conversion with these keywords, thus be retail locations or
Foundation is instructed in the training and learning offer of enterprise marketing personnel, can grasp sales technique and carry out sale conversion accordingly, most
The purpose for promoting sale effect is realized eventually.
Shown in the preferred embodiment identified further combined with the keyword of Fig. 4, is being identified and sold according to statistical result
The sale keyword that achievement journey is positively correlated has further straight on the basis of " makings ", " suitable ", " beautiful " three word titles
Sight obtains: " makings " occurred more than 4000 times, " suitable " occurred more than 2000 times, " beautiful " occurred less than 2000 times, also
It is to say that " makings " class word is the word that can most show and promote sales achievement, for example overstate that customer wears/use aobvious makings,
" suitable " takes second place, and " beautiful " is then general, can suggest that sales force pays close attention to liking degree and going to draw accordingly for customer accordingly
Customer is led, to facilitate sales order；Go out and the positively related satisfaction of satisfaction according to Satisfaction Index professional investigation interpretation of result
Degree keyword further intuitively obtains on the basis of having " suitable ", " occasion ", " present " three words: " suitable " occurs 3800
Repeatedly, " occasion " and " present " has all occurred in about more than 2000 times, that is to say, that these words are capable of the satisfaction of positive influences customer
Degree, therefore can suggest that the sales force of retailer mostly goes in terms of positive influences customer satisfaction as far as possible based on the analysis results
It does；And keyword identification can also preferably identify and " not conform to " " this with the sale keyword of sales achievement negative correlation such as " quickly "
Thing is remaining too much " etc., and analyzing " taken with Satisfaction Index negative correlation satisfaction keyword such as " discomfort " " without present "
It is poor to be engaged in " etc. classes word, can suggest that sales force avoid such negative correlation keyword as far as possible according to the word of these negatively correlated classes
The language performance of description, the angle thus thought deeply from the negative sells unsuccessful situation to reduce, to increase sale effect.
Preferably, central server is based on Satisfaction Index professional investigation result, in conjunction with passing through face recognition technology
Determining client identity is simultaneously associated with after sale effect further combined with the video content progress alternate analysis acquired by video camera, really
The reason of determining the scene of satisfaction variation, obtaining satisfaction variation is specifically that several are taken the photograph to be analyzed and to be handled
The video picture data of camera acquisition sale scene, central server is based on Satisfaction Index professional investigation result to video
Picture data carries out alternate analysis, can intuitively observe the satisfaction variation of customer and cause the original of customer satisfaction variation
Cause, convenient for further effectively carrying out sale analysis of related results and based on the analysis results retailer can quickly refer to based on the analysis results
The scene of leading is effectively treated, and avoids influencing sale effect.
Preferably, the sale analysis of related results result that sale analysis of related results generates is carried out to include but is not limited to word title and make
With frequency statistics result, sale keyword identification result, sale intonation identification result, Customer Satisfaction Index；And/or it is described
Sale analysis of related results result is directly passed to retailer (retail locations or retailer) or to be presented on smart machine terminal indirect
Retailer (retail locations or retailer) is passed to so that its sales force gives study training, enables sales force's root
It was reported that content carries out sale effect conversion, sales achievement is improved.
The invention further relates to a kind of sale effect voice artificial intelligence analysis's system, the system and above-mentioned inventive pin
It is corresponding to sell effect artificial intelligence analysis's method, it is understood that be to realize present invention sale effect artificial intelligence analysis method
System, specifically include through the sequentially connected voice collecting device of wireless network, cloud server and central server, certainly also
Bluetooth wireless connection can be used, the voice collecting device is arranged in different strategic locations, the present invention one as shown in connection with fig. 5
The structural schematic diagram of kind of sale effect artificial intelligence analysis system, can 1,2 ... n strategic location be respectively set 1,
2 ... n voice collecting device, and then the language of the magnanimity by talking between voice collecting device collection sales force and customer
Sound data simultaneously upload to cloud server；The central server from cloud server download the voice data and identify with
The sale keyword that sales achievement is positively correlated recycles artificial intelligence deep learning algorithm to carry out the sale keyword of identification
Data are analyzed and then establish sale keyword and sell the relationship computation model of effect, then carry out pin according to the model calculation
Analysis of related results and sales technique planning are sold, which is applied to retail trade for artificial intelligence technology in a creative way and closes sale
Keyword is established the link with sale effect, according to the result analyzed the dialogue between sales force and customer and utilizes key
The result that word identifies establishes sale keyword and sells the relationship computation model of effect and then carry out accurate sale analysis of related results,
For retailer according to sale analysis of related results result carry out sales technique planning, can for corresponding salesperson training and learning and
It improves and effective foundation is provided, while the sale effect of retail locations or enterprise, highly effective can also be substantially improved.
Preferably, as shown in fig. 6, a kind of the first preferred knot of sale effect voice artificial intelligence analysis's system of the present invention
Structure include by wireless network connect several voice collecting device, cloud server and central servers, central server into
One step includes that sequentially connected word Information Statistics unit, keyword discriminating unit, intonation discriminating unit, relationship computation model are built
Vertical unit is with sale analysis of related results unit and keyword discriminating unit is also connected to relationship computation model and establishes unit, word information
Statistic unit downloads the voice data and carry out word Information Statistics to voice data from cloud server obtains word title
And the statistical result of frequency of use, keyword discriminating unit is identified according to the statistical result of word title and frequency of use and pin
The sale keyword that achievement is positively correlated is sold, intonation discriminating unit is reflected according to sale keyword identification result in conjunction with intonation difference
The sale intonation that Chu not be positively correlated with sales achievement, relationship computation model establish unit and utilize artificial intelligence deep learning algorithm
It is comprehensive to analyze and then establish sale keyword according to sale keyword identification result and sale intonation identification result progress data, sell
It sells intonation and sells the relationship computation model of effect, sale analysis of related results unit carries out sale effect point according to the model calculation
Analysis.
Preferably, different strategic locations set by voice collecting device are the different locations in retail locations or enterprise,
With including but not limited to each sales force, on metope, on desktop, at ceiling and at sales counter, i.e., retail shop, sales field,
Or several voice collecting devices are arranged in the different position in inner space of the numerous retail locations of retail electric business enterprise etc., it can be with
Be worn over sales force, also can be set on metope, on desktop, on ceiling, at sales counter and it is other can be convenient for multi-party
On the position of position multi-angle real-time collecting sales force and customer interview, thus, it is possible to guarantee the real-time of voice data, enrich
Property, it is comprehensive, closely acquire fine definition dialogue so that subsequent data analysis result is more reliable.
Still further, such as a kind of second of preferred structure institute for selling effect artificial intelligence analysis system of Fig. 7 present invention
Show, further includes satisfaction keywords analyzing unit inside central server other than including each unit as shown in FIG. 6, it is satisfied
Degree keywords analyzing unit is connected with sale analysis of related results unit, and satisfaction keywords analyzing unit is according to Satisfaction Index profession
Investigation result combines the client identity determined by face recognition technology and analyzes from voice data after being associated with sale effect
Satisfaction keyword relevant to sale effect, this system are downloading the voice number from cloud server by central server
According to rear, the same of the sale keyword being positively correlated with sales achievement is identified according to the statistical result of word title and frequency of use
When also identify satisfaction keyword relevant to satisfaction, then satisfaction keywords analyzing unit can also utilize artificial intelligence
Energy deep learning algorithm carries out data analysis to the satisfaction keyword of identification, counts the frequency of satisfaction keyword, finally
The sale analysis of related results unit comprehensive carries out sale analysis of related results according to satisfaction keyword and the model calculation, for zero
It sells quotient and sales technique planning is carried out according to sale analysis of related results result, that is, allow retailer when carrying out sales technique planning,
Not only to consider to sell keyword, sell intonation to the relative influence of sales achievement, it is also contemplated that the correlation of satisfaction keyword
It influences, it is thus comprehensive to make reasonable sales technique planning, customer can be understood under non-state of feeling to sale product and clothes
Business true idea and satisfaction, specify the demand of customer, excavate the latent demand of customer, for sale provide effectively according to
According to.
It should be pointed out that specific embodiment described above can make those skilled in the art that the present invention be more fully understood
It creates, but do not limit the invention in any way is created.Therefore, although this specification creates the present invention referring to drawings and examples
It makes and has been carried out detailed description, it will be understood by those skilled in the art, however, that still can modify to the invention
Or equivalent replacement, in short, the technical solution and its improvement of all spirit and scope for not departing from the invention, should all contain
It covers in the protection scope of the invention patent.
Claims (10)
1. a kind of sale effect artificial intelligence analysis's method, which is characterized in that the language first by being arranged in different strategic locations
Sound collecting device collects the voice data talked between sales force and customer and uploads to cloud server；Then pass through center
Server downloads the voice data from cloud server and identifies the sale keyword being positively correlated with sales achievement, then benefit
Manually intelligent deep learning algorithm carries out data to the sale keyword of identification and analyzes foundation sale keyword and sale in turn
The relationship computation model of effect, then carries out sale analysis of related results according to the model calculation.
2. sale effect artificial intelligence analysis's method according to claim 1, which is characterized in that the central server from
After cloud server downloads the voice data, word Information Statistics acquisition word title first is carried out to the voice data and is made
With the statistical result of frequency；It identifies and is positively correlated with sales achievement further according to the statistical result of word title and frequency of use
Sell keyword；The sale being positively correlated with sales achievement is identified in conjunction with intonation difference according to sale keyword identification result
Intonation；Then using artificial intelligence deep learning algorithm synthesis according to sale keyword identification result and sale intonation identification result
It carries out data and analyzes and then establish sale keyword, sale intonation and the relationship computation model for selling effect, calculated according to model
As a result sale analysis of related results is carried out.
3. sale effect artificial intelligence analysis's method according to claim 2, which is characterized in that the voice collecting device
Set different strategic locations are the different locations in retail locations or enterprise, with including but not limited to each sales force,
On metope, on desktop, at ceiling and at sales counter.
4. sale effect artificial intelligence analysis's method according to claim 2 or 3, which is characterized in that it is crucial to establish sale
Word, sale intonation pass through in conjunction with while the relationship computation model for selling effect also according to Satisfaction Index professional investigation result
Face recognition technology determine client identity and be associated with sale effect after analyzed from voice data with sell effect it is relevant
Satisfaction keyword, then synthesis carry out sale analysis of related results according to the satisfaction keyword and the model calculation.
5. sale effect artificial intelligence analysis's method according to claim 4, which is characterized in that central server is with satisfaction
It spends based on index professional investigation result, in conjunction with the client identity determined by face recognition technology and is associated with after sale effect also
Alternate analysis is carried out in conjunction with the video content acquired by video camera, determines the scene of satisfaction variation, obtains satisfaction variation
Reason is to be analyzed and to be handled.
6. sale effect artificial intelligence analysis's method according to claim 4, which is characterized in that carry out sale analysis of related results
The sale analysis of related results result of generation includes but is not limited to that word title and frequency of use statistical result, sale keyword identify knot
Fruit, sale intonation identification result, satisfaction keyword；
And/or the sale analysis of related results result is directly passed to retail locations or is presented on smart machine terminal indirect transfer
To retailer so that sales force gives study training.
7. a kind of sale effect voice artificial intelligence analysis's system, which is characterized in that including sequentially connected voice collecting device,
Cloud server and central server, the voice collecting device are arranged in different strategic locations, are collected by voice collecting device
The voice data talked between sales force and customer simultaneously uploads to cloud server；The central server is from cloud server
It downloads the voice data and identifies the sale keyword being positively correlated with sales achievement, recycle artificial intelligence deep learning
Algorithm carries out data analysis to the sale keyword of identification and then establishes the relationship computation model of sale keyword and sale effect,
Then sale analysis of related results is carried out according to the model calculation.
8. sale effect voice artificial intelligence analysis's system according to claim 7, which is characterized in that the center service
Device includes sequentially connected word Information Statistics unit, keyword discriminating unit, intonation discriminating unit, the foundation of relationship computation model
Unit and sale analysis of related results unit and keyword discriminating unit are also connected to relationship computation model and establish unit, the word letter
Breath statistic unit downloads the voice data and carry out word Information Statistics to the voice data from cloud server obtains word
The statistical result of language title and frequency of use, the keyword discriminating unit is according to word title and the statistical result of frequency of use
Identify the sale keyword being positively correlated with sales achievement, the intonation discriminating unit according to sale keyword identification result again
The sale intonation being positively correlated with sales achievement is identified in conjunction with intonation difference, relationship computation model establishes unit and utilizes artificial intelligence
Energy deep learning algorithm synthesis carries out data analysis according to sale keyword identification result and sale intonation identification result and then builds
Vertical pin sells keyword, sale intonation and the relationship computation model for selling effect, and the sale analysis of related results unit is according to model meter
It calculates result and carries out sale analysis of related results.
9. sale effect artificial intelligence analysis's system according to claim 8, which is characterized in that the voice collecting device
Set different strategic locations are the different locations in retail locations or enterprise, with including but not limited to each sales force,
On metope, on desktop, at ceiling and at sales counter.
10. sale effect artificial intelligence analysis's system according to claim 8 or claim 9, which is characterized in that the center service
Device further includes satisfaction keywords analyzing unit, and the satisfaction keywords analyzing unit is connected with sales technique planning unit；
The satisfaction keywords analyzing unit is combined according to Satisfaction Index professional investigation result through face recognition technology determination
Client identity simultaneously analyzes after being associated with sale effect from voice data and sells the relevant satisfaction keyword of effect, the pin
It sells analysis of related results unit comprehensive and sale analysis of related results is carried out according to satisfaction keyword and the model calculation.
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| CN115470705A (en) * | 2022-09-19 | 2022-12-13 | 贵州航天云网科技有限公司 | AI algorithm based intelligent service modeling method |
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