CN107958390A - A kind of unattended shop consumer consumption behavior analysis method and system - Google Patents
A kind of unattended shop consumer consumption behavior analysis method and system Download PDFInfo
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- CN107958390A CN107958390A CN201711242772.6A CN201711242772A CN107958390A CN 107958390 A CN107958390 A CN 107958390A CN 201711242772 A CN201711242772 A CN 201711242772A CN 107958390 A CN107958390 A CN 107958390A
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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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- 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
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
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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
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0641—Shopping interfaces
Abstract
The invention belongs to customer consumption statistical technique field, and in particular to a kind of unattended shop consumer consumption behavior analysis method and system, comprise the following steps：S1, obtains users personal data, and the users personal data is stored to customer consumption database, the customer consumption databases and contains several customer consumption data lists；S2, obtains user and buys commodity data, and the user is bought commodity data storage corresponding customer consumption data list into customer consumption database；S3, according to timing statistics and classification, the data for meeting each classification is filtered out from the customer consumption database and are stored to each categorical data pond；S4, carries out statistic of classification according to the data application statistical method in each categorical data pond and draws the chart of each classification.The present invention buys commodity data by the users personal data of acquisition and user, and the consumption of the user in unattended shop is counted and drawn a diagram, reference is provided for the consumption decision of businessman.
Description
Technical field
The invention belongs to customer consumption statistical technique field, and in particular to a kind of unattended shop consumer consumption behavior analysis
Method and system.
Background technology
Development and social progress with science and technology, internet enter the every aspect of people's life, and current is very much
Shopping at network platform application Internet technology, counts the situation of the consumer of each purchase commodity, and recommends to be suitable for for user
The commodity of consumer, increase the sales volume of platform commodity.
But current mortar retailer is mainly that the sale information management that field is managed to it is realized by cash register, but nothing
The consumer information of the sales information of each physical retail store and purchase commodity is carried out integrated management by method, it is difficult to carries out big data
Analysis, it is difficult to grasp behavior and the hobby of consumer, customer profile and purchase information can not be counted, it is even more impossible to be businessman
The reference data to make a policy is provided.
The content of the invention
For in the prior art the defects of, the present invention provides a kind of unattended shop consumer consumption behavior analysis method and
System, commodity data is bought by the users personal data of acquisition and user, to the consumption of the user in unattended shop into
Row statistics, and draw a diagram, provide reference for the consumption decision of businessman.
A kind of unattended shop consumer consumption behavior analysis method provided by the invention, comprises the following steps：
S1, obtains users personal data, and the users personal data is stored to customer consumption database, the user
Consumer database memory contains several customer consumption data lists；
S2, obtains user and buys commodity data, and the user is bought commodity data storage to customer consumption database
In corresponding customer consumption data list；
S3, according to timing statistics and classification, filters out the data for meeting each classification from the customer consumption database
And store and arrive each categorical data pond；
S4, carries out statistic of classification according to the data application statistical method in each categorical data pond and draws each classification
Chart.
Preferably, the S1 is specially：
S11, obtains the wechat identity data sent after the Quick Response Code on customer mobile terminal scanning intelligent entrance guard, and feeds back
Register list gives the customer mobile terminal；
S12, obtains the user's registration data that the customer mobile terminal is sent by the register list, user's note
Volumes demonstrate,proves number and user's head image data according to user identity is included；
S13, demonstrate,proves number inquiry identity card system database according to the user identity, obtains and the identity card number
According to associated identity view data；
S14, identity validation is carried out by user's head image data and the identity view data by image recognition algorithm,
Confirm it is errorless after, and the wechat identity data and the user's registration data are stored to user as users personal data and are disappeared
Take the customer consumption data list in database.
Preferably, the S2 is specially；
S21, obtains the wechat identity data and commodity data sent after customer mobile terminal scan product barcode, by institute
Commodity data storage is stated to forward purchasing car data storehouse, and generates forward purchasing car interface and feeds back to the customer mobile terminal, the forward purchasing
Car interface includes the clearing control key that places an order；
S22, obtains the lower single instrction that the customer mobile terminal is sent by the forward purchasing car interface, is placed an order according to described
Instruction generation payment interface simultaneously feeds back to the customer mobile terminal；
S33, obtains the payment data that the customer mobile terminal is sent by the payment interface, according to the payment number
Stored according to by the commodity data to the corresponding customer consumption data list of the wechat identity data.
Preferably, the users personal data includes user's gender data and age of user data.
Preferably, the user buys commodity data with including item property data, time buying data and purchase shops
Location data.
Preferably, the classification include user volume, gender purchase commodity rate, the age purchase commodity rate, user again purchase rate and
Region buying rate.
Preferably, the statistical method uses Naive Bayes Classification Algorithm.
A kind of unattended shop consumer consumption behavior analysis system, including remote server, and with the remote service
The management terminal and customer mobile terminal that device communicates.
The management terminal, for the timing statistics for obtaining administrative staff's input and the classification, and by the system
Between timing and the classification is sent to remote server；
The customer mobile terminal, commodity data is bought for obtaining users personal data input by user and user, and
The users personal data and the user are bought into commodity data and are sent to the remote server；
The remote server includes：
Storage unit is registered, is stored for obtaining users personal data, and by the users personal data to customer consumption
Database, the customer consumption databases contain several customer consumption data lists；
Storage unit is bought, buys commodity data for obtaining user, and user purchase commodity data storage is arrived
Corresponding customer consumption data list in customer consumption database；
Taxon is set, for according to timing statistics and classification, filtering out and meeting from the customer consumption database
The data of each classification simultaneously store and arrive each categorical data pond；
Drawing unit is counted, for carrying out statistic of classification simultaneously according to the data application statistical method in each categorical data pond
Draw the chart of each classification.
Beneficial effects of the present invention are：Commodity data is bought by the users personal data of acquisition and user, to unmanned value
The consumption for the user for keeping shop is counted, and is drawn a diagram, and reference is provided for the consumption decision of businessman.
Brief description of the drawings
, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution of the prior art
Embodiment or attached drawing needed to be used in the description of the prior art are briefly described.In all of the figs, similar element
Or part is generally identified by similar reference numeral.In attached drawing, each element or part might not be drawn according to actual ratio.
Fig. 1 is the flow chart of unattended shop consumer consumption behavior analysis method in the present embodiment；
Fig. 2 is the structure chart of unattended shop consumer consumption behavior analysis system in the present embodiment.
Embodiment
The embodiment of technical solution of the present invention is described in detail below in conjunction with attached drawing.Following embodiments are only used for
Clearly illustrate technical scheme, therefore be only used as example, and the protection model of the present invention cannot be limited with this
Enclose.It should be noted that unless otherwise indicated, technical term or scientific terminology used in this application are should be belonging to the present invention
The ordinary meaning that field technology personnel are understood.
Embodiment：
A kind of unattended shop consumer consumption behavior analysis method provided in this embodiment, as shown in Figure 1, including following step
Suddenly：
S1, obtains users personal data, and the users personal data is stored to customer consumption database, the user
Consumer database memory contains several customer consumption data lists；The users personal data includes wechat identity data, uses
Family gender data, age of user data etc..
S2, obtains user and buys commodity data, and the user is bought commodity data storage to customer consumption database
In corresponding customer consumption data list；The user buy commodity data include item property data, time buying data,
Buy shops's address date etc..
S3, according to timing statistics and classification, filters out the data for meeting each classification from the customer consumption database
And store and arrive each categorical data pond；
S4, carries out statistic of classification according to the data application statistical method in each categorical data pond and draws each classification
Chart, the statistical method use Naive Bayes Classification Algorithm.
Wherein, the S1 is specially：
S11, obtains the wechat identity data sent after the Quick Response Code on customer mobile terminal scanning intelligent entrance guard, and feeds back
Register list gives the customer mobile terminal；
S12, obtains the user's registration data that the customer mobile terminal is sent by the register list, user's note
Volumes demonstrate,proves number and user's head image data according to user identity is included；
S13, demonstrate,proves number inquiry identity card system database according to the user identity, obtains and the identity card number
According to associated identity view data；
S14, identity validation is carried out by user's head image data and the identity view data by image recognition algorithm,
Confirm it is errorless after, and the wechat identity data and the user's registration data are stored to user as users personal data and are disappeared
Take the customer consumption data list in database.
Wherein, the S2 is specially；
S21, obtains the wechat identity data and commodity data sent after customer mobile terminal scan product barcode, by institute
Commodity data storage is stated to forward purchasing car data storehouse, and generates forward purchasing car interface and feeds back to the customer mobile terminal, the forward purchasing
Car interface includes the clearing control key that places an order；
S22, obtains the lower single instrction that the customer mobile terminal is sent by the forward purchasing car interface, is placed an order according to described
Instruction generation payment interface simultaneously feeds back to the customer mobile terminal；
S33, obtains the payment data that the customer mobile terminal is sent by the payment interface, according to the payment number
Stored according to by the commodity data to the corresponding customer consumption data list of the wechat identity data.
Unattended shop in the present embodiment is equipped with intelligent entrance guard, and user passes through the wechat software on customer mobile terminal
After Quick Response Code on barcode scanning intelligent entrance guard, wechat identity data has been sent to the remote server of the system, the wechat body
Part data include wechat user name etc., and it is related to the wechat user name whether remote server inquiry customer consumption lane database has
The users personal data of connection, if not having, shows that user has not yet registered, and remote server sends register list and moved eventually to user
End.
For user in register list after filling registration information, customer mobile terminal registers customers as data sending to long-range clothes
Business device, user's registration data include user identity card number, user's head image data, user's pet name data, area data, gender
Data, age data etc., user obtain user's head image data by live self-timer, and remote server is demonstrate,proved according to the user identity
(identity card system database is stored with identification card number data, the identity of some citizens to number inquiry identity card system database
View data etc.), the identity view data associated with the identification card number data is obtained, and by image recognition algorithm with using
Identification is compared in family head image data, judges whether it is me, is successfully registered after identity validation to customer mobile terminal feedback
Work(information, while the wechat identity data and the user's registration data are stored to customer consumption as users personal data
Customer consumption data list in database.So as to obtain and store users personal data.
User enter unattended shop after, can the voluntarily free choice of goods, if user want buy commodity, pass through customer mobile terminal
Scan product barcode, remote server receive and get wechat identity data and commodity data, the commodity of scanning input are put
Enter and purchase car in advance, forward purchasing car interface can be seen in customer mobile terminal, when user scans another commodity again, by another commodity
Forward purchasing car is put into, user can continue to scan on commodity and add forward purchasing car, can also remove commodity from forward purchasing car, user is in nothing
After people has chosen commodity in shop on duty, after clicking on the clearing control key that places an order on customer mobile terminal, you can carried out into payment interface
Pay.After the completion of user pays, the commodity data that remote server buys user stores the customer consumption data to the user
In list.So as to obtain and store the commodity data of user's purchase.
According to the personal data of several users and the commodity data bought every time, many statistics, example can be carried out
Such as buy in commodity, the ratio of male and the ratio of women, multiple purchase rate of user's second purchase etc..What management terminal can be set
Timing statistics, such as daily morning 3:00 carries out data statistics, and management terminal can also set the classification that needs count, the class
Bao Kuo not user volume, gender purchase commodity rate, age purchase commodity rate, user purchase rate, region buying rate etc. again.Such as need to unite
Count personality purchase commodity rate, such as total purchase user be 100 people, wherein male be 52, women 48, so that it may obtain male purchase business
Product rate is 52%, women purchase commodity rate is 48%.It can also be drawn a diagram, be accessed easy to administrative staff remote according to statistical result
It is that more intuitive understanding counts as a result, so as to provide reference when doing consumption decision for it during journey server.
A kind of unattended shop consumer consumption behavior analysis system, as shown in Fig. 2, including remote server, and with institute
State management terminal and the customer mobile terminal that remote server communicates.
The management terminal, for the timing statistics for obtaining administrative staff's input and the classification, and by the system
Between timing and the classification is sent to remote server；
The customer mobile terminal, commodity data is bought for obtaining users personal data input by user and user, and
The users personal data and the user are bought into commodity data and are sent to the remote server；
The remote server includes：
Storage unit is registered, is stored for obtaining users personal data, and by the users personal data to customer consumption
Database, the customer consumption databases contain several customer consumption data lists；
Storage unit is bought, buys commodity data for obtaining user, and user purchase commodity data storage is arrived
Corresponding customer consumption data list in customer consumption database；
Taxon is set, for according to timing statistics and classification, filtering out and meeting from the customer consumption database
The data of each classification simultaneously store and arrive each categorical data pond；
Drawing unit is counted, for carrying out statistic of classification simultaneously according to the data application statistical method in each categorical data pond
Draw the chart of each classification.
In conclusion unattended the shop consumer consumption behavior analysis method and system of the present embodiment,：Pass through the use of acquisition
Family personal data and user buy commodity data, and the consumption of the user in unattended shop is counted, and draw a diagram,
Reference is provided for the consumption decision of businessman.
Finally it should be noted that：The above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe is described in detail the present invention with reference to foregoing embodiments, it will be understood by those of ordinary skill in the art that：Its according to
Can so modify to the technical solution described in foregoing embodiments, either to which part or all technical characteristic into
Row equivalent substitution；And these modifications or replacement, the essence of appropriate technical solution is departed from various embodiments of the present invention technology
The scope of scheme, it should all cover among the claim of the present invention and the scope of specification.
Claims (8)
1. a kind of unattended shop consumer consumption behavior analysis method, it is characterised in that comprise the following steps：
S1, obtains users personal data, and the users personal data is stored to customer consumption database, the customer consumption
Databases contain several customer consumption data lists；
S2, obtains user and buys commodity data, and the user is bought commodity data storage phase into customer consumption database
Corresponding customer consumption data list；
S3, according to timing statistics and classification, filters out from the customer consumption database and meets the data of each classification and deposit
Store up each categorical data pond；
S4, carries out statistic of classification according to the data application statistical method in each categorical data pond and draws the figure of each classification
Table.
A kind of 2. unattended shop consumer consumption behavior analysis method according to claim 1, it is characterised in that the S1
Specially：
S11, obtains the wechat identity data sent after the Quick Response Code on customer mobile terminal scanning intelligent entrance guard, and feeds back registration
The customer mobile terminal is given in list；
S12, obtains the user's registration data that the customer mobile terminal is sent by the register list, the user's registration number
Number and user's head image data are demonstrate,proved according to including user identity；
S13, demonstrate,proves number inquiry identity card system database according to the user identity, obtains and the identification card number data phase
Associated identity view data；
S14, carries out identity validation by image recognition algorithm by user's head image data and the identity view data, confirms
After errorless, and the wechat identity data and the user's registration data are stored to customer consumption number as users personal data
According to the customer consumption data list in storehouse.
A kind of 3. unattended shop consumer consumption behavior analysis method according to claim 2, it is characterised in that the S2
Specially；
S21, obtains the wechat identity data and commodity data sent after customer mobile terminal scan product barcode, by the business
The storage of product data generates forward purchasing car interface and feeds back to the customer mobile terminal to forward purchasing car data storehouse；
S22, obtains the lower single instrction that the customer mobile terminal is sent by the forward purchasing car interface, according to the lower single instrction
Generation payment interface simultaneously feeds back to the customer mobile terminal；
S33, obtains the payment data that the customer mobile terminal is sent by the payment interface, will according to the payment data
The commodity data is stored to the corresponding customer consumption data list of the wechat identity data.
A kind of 4. unattended shop consumer consumption behavior analysis method according to claim 3, it is characterised in that the use
Family personal data include user's gender data and age of user data.
A kind of 5. unattended shop consumer consumption behavior analysis method according to claim 4, it is characterised in that the use
Family purchase commodity data includes item property data, time buying data and purchase shops address date.
A kind of 6. unattended shop consumer consumption behavior analysis method according to claim 5, it is characterised in that the class
Bao Kuo not user volume, gender purchase commodity rate, age purchase commodity rate, user purchase rate and region buying rate again.
A kind of 7. unattended shop consumer consumption behavior analysis method according to claim 6, it is characterised in that the system
Meter method uses Naive Bayes Classification Algorithm.
8. a kind of unattended shop consumer consumption behavior analysis system, disappears suitable for the unattended shop user described in claim 1
Take behavior analysis method, it is characterised in that including remote server, and the management to communicate with the remote server is whole
End and customer mobile terminal；
The management terminal, for the timing statistics for obtaining administrative staff's input and the classification, and during by the statistics
Between and the classification be sent to remote server；
The customer mobile terminal, commodity data is bought for obtaining users personal data input by user and user, and by institute
State users personal data and the user buys commodity data and is sent to the remote server；
The remote server includes：
Storage unit is registered, is stored for obtaining users personal data, and by the users personal data to customer consumption data
Storehouse, the customer consumption databases contain several customer consumption data lists；
Storage unit is bought, buys commodity data for obtaining user, and the user is bought into commodity data storage to user
Corresponding customer consumption data list in consumer database；
Taxon is set, for according to timing statistics and classification, filtered out from the customer consumption database meet it is each
The data of classification simultaneously store and arrive each categorical data pond；
Drawing unit is counted, for carrying out statistic of classification according to the data application statistical method in each categorical data pond and drawing
The chart of each classification.
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| CN201711242772.6A CN107958390A (en) | 2017-11-30 | 2017-11-30 | A kind of unattended shop consumer consumption behavior analysis method and system |
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| CN201711242772.6A CN107958390A (en) | 2017-11-30 | 2017-11-30 | A kind of unattended shop consumer consumption behavior analysis method and system |
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| CN109903124A (en) * | 2019-01-25 | 2019-06-18 | 广州富港万嘉智能科技有限公司 | A kind of user account automatic generation method, system, electronic equipment and storage medium |
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Application publication date: 20180424 |