CN108776899A - A kind of exception sales person identification method, apparatus and processing equipment - Google Patents
A kind of exception sales person identification method, apparatus and processing equipment Download PDFInfo
- Publication number
- CN108776899A CN108776899A CN201810554309.3A CN201810554309A CN108776899A CN 108776899 A CN108776899 A CN 108776899A CN 201810554309 A CN201810554309 A CN 201810554309A CN 108776899 A CN108776899 A CN 108776899A
- Authority
- CN
- China
- Prior art keywords
- trading object
- sales
- abnormal
- exception
- discount
- 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
Classifications
-
- 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
- G06Q30/018—Certifying business or products
- G06Q30/0185—Product, service or business identity fraud
Abstract
This specification embodiment discloses a kind of abnormal sales person identification method, apparatus and processing equipment, and the method includes obtaining the Transaction Information of trading object, the Transaction Information includes sales discount rate, sales force's information；The sales discount rate of trading object guideline discount corresponding with the trading object is compared, the sales discount rate deviation of the trading object is calculated；Determine that the corresponding sales force's information of exception trading object, the trading object that the exception trading object is more than predetermined threshold value based on the sales discount rate deviation determine.Using each embodiment of this specification, it can effectively differentiate that there are the sales forces of the abnormal trading activity such as fraudulent.
Description
Technical field
The present invention relates to microcomputer data processing fields, particularly, be related to a kind of abnormal sales person identification method,
Device and processing equipment.
Background technology
There are sales forces to apply for very low transaction sales discount rate to company in current many companies, then passes through individual
Approach is with higher price sales, to seek the fraudulent transactions phenomenon such as price difference private interests.Usual company is certain only by setting
Rules and regulations sales force is constrained, or deposited by carrying out the means determination such as artificial analysis to apparent abnormal transaction
In the sales force of fraudulent transactions.There are the method for the sales force of fraudulent transactions behavior, there are certain for above-mentioned discriminating
Contingency, and it is not easy to real-time monitoring.
Therefore, it can effectively differentiate that there are the data of the sales force of the abnormal trading activity such as fraudulent there is an urgent need for a kind of in the industry
Processing method.
Invention content
The purpose of this specification embodiment is to provide a kind of abnormal sales person identification method, apparatus and processing equipment, can
Differentiate that there are the sales forces of the abnormal trading activity such as fraudulent with effective.
This specification embodiment is realized in：
A kind of exception sales person identification method, the method includes：
The Transaction Information of trading object is obtained, the Transaction Information includes sales discount rate, sales force's information；
The sales discount rate of trading object guideline discount corresponding with the trading object is compared, is calculated
The sales discount rate deviation of the trading object；
Determine that the corresponding sales force's information of exception trading object, the exception trading object are based on the sales discount rate
The trading object that deviation is more than predetermined threshold value determines.
A kind of exception sales person identification device, described device include：
Transaction Information acquisition module, the Transaction Information for obtaining trading object, the Transaction Information include sales discount
Rate, sales force's information；
Deviation computing module is used for the sales discount rate of trading object standard corresponding with the trading object
Discount rate is compared, and the sales discount rate deviation of the trading object is calculated；
First identification module, for determining the corresponding sales force's information of abnormal trading object, the exception trading object
The trading object for being more than predetermined threshold value based on the sales discount rate deviation is determined.
A kind of exception sales person identification equipment, including processor and the storage for storing processor-executable instruction
Device is realized when described instruction is executed by the processor and is included the following steps：
The Transaction Information of trading object is obtained, the Transaction Information includes sales discount rate, sales force's information；
The sales discount rate of trading object guideline discount corresponding with the trading object is compared, is calculated
The sales discount rate deviation of the trading object；
Determine that the corresponding sales force's information of exception trading object, the exception trading object are based on the sales discount rate
The trading object that deviation is more than predetermined threshold value determines.
A kind of exception sales person identification system, including at least one processor and storage computer executable instructions
The step of memory, the processor realizes this specification any one embodiment the method when executing described instruction.
A kind of abnormal sales person identification method, apparatus and processing that this specification one or more embodiment provides are set
It is standby, it can reflect that suspicious degree that sales force is merchandised extremely, sales discount rate are inclined by sales discount rate deviation
Difference is bigger to indicate that corresponding sales force is more abnormal, and to assist company effectively to identify, there are the abnormal trading activities such as fraudulent
Sales force.
Description of the drawings
In order to illustrate more clearly of this specification embodiment or technical solution in the prior art, below will to embodiment or
Attached drawing needed to be used in the description of the prior art is briefly described, it should be apparent that, the accompanying drawings in the following description is only
Some embodiments described in this specification, for those of ordinary skill in the art, in not making the creative labor property
Under the premise of, other drawings may also be obtained based on these drawings.In the accompanying drawings：
Fig. 1 is a kind of flow diagram for abnormal sales person identification embodiment of the method that this specification provides；
Fig. 2 is that transaction data table merges schematic diagram in one embodiment that this specification provides；
Fig. 3 is the flow diagram for the abnormal sales person identification embodiment of the method for another kind that this specification provides；
Fig. 4 is a kind of modular structure schematic diagram for abnormal sales person identification device embodiment that this specification provides；
Fig. 5 is the modular structure schematic diagram for the abnormal sales person identification device embodiment of another kind that this specification provides；
Fig. 6 is the schematic configuration diagram according to the server of an exemplary embodiment of this specification.
Specific implementation mode
In order to make those skilled in the art more fully understand the technical solution in this specification, below in conjunction with this explanation
Attached drawing in book one or more embodiment carries out the technical solution in this specification one or more embodiment clear, complete
Site preparation describes, it is clear that described embodiment is only specification a part of the embodiment, instead of all the embodiments.Based on saying
Bright book one or more embodiment, it is obtained by those of ordinary skill in the art without making creative efforts all
Other embodiment should all belong to the range of this specification example scheme protection.
Apply for very low transaction sales discount rate to company for sales force present in company, then passes through private way
Diameter is with higher price sales, and to seek the fraudulent transactions phenomenon such as price difference private interests, the existing discriminating that carries out used has fraud
There are certain contingency for the method for the sales force of sexual transaction behavior, and are not easy to carry out real-time monitoring to sales force.
In view of the above technical problems, this specification embodiment provides a kind of abnormal sales person identification method, passes through meter
The sales discount rate deviation for calculating trading object reflects that it is different that sales force carries out fraudulent etc. using sales discount rate deviation
The suspicious degree of normal trading activity.The sales discount rate deviation is bigger, and corresponding sales force is more abnormal.This specification is real
It may include the sales force for existing abnormal trading activity to apply the abnormal sales force in example, such as there is fraudulent transactions behavior
The sales force etc. of (or false business opportunity).To utilize this specification example scheme, it can effectively differentiate suspicious sale people
Member, suspicious sales force is paid close attention to, and with the effectively identification of auxiliary company, there are the abnormal trading activities such as fraudulent
Sales force.
Fig. 1 is a kind of abnormal sales person identification embodiment of the method flow diagram that this specification provides.Although
Present description provides such as following embodiments or method operating procedure shown in the drawings or apparatus structures, but are based on routine or nothing
Need performing creative labour may include more in the method or device or part merge after less operating procedure or mould
Module unit.In the step of there is no necessary causalities in logicality or structure, the execution sequences of these steps or device
Modular structure is not limited to this specification embodiment or execution shown in the drawings sequence or modular structure.The method or module knot
Device in practice, server or the end product of structure in application, can according to embodiment or method shown in the drawings or
The execution of modular structure carry out sequence is either parallel to be executed (such as the environment of parallel processor or multiple threads, even include
The implementation environment of distributed treatment, server cluster).
Specific one embodiment as shown in Figure 1, the abnormal sales person identification method that this specification provides a reality
It applies in example, the method may include：
S2：The Transaction Information of trading object is obtained, the Transaction Information includes sales discount rate, sales force's information.
The Transaction Information of trading object can be obtained, the trading object may include the article of real trade, as mobile phone,
Computer etc..
The Transaction Information of the trading object may include the transaction data in the corresponding transaction of certain article of transaction,
For example, the transaction data such as trade discount rate, the sales force's information of the article in the transaction.In some embodiments, institute
The Transaction Information for stating trading object can be by obtaining after the processing such as a large amount of transaction data being associated, being screened.
The sales force can refer to the company work personnel for selling the transaction item of company, the nature of entity
People can also be the corresponding virtual account of interconnection online spending customer service.
The sales discount rate may include the unit price for the transaction item that sales force applies to company and scheduled standard
The ratio of valence, sales discount rate can indicate that the unit price of application is less than standard price less than 1.
In one embodiment, transaction data can be showed by the form of a plurality of types of transaction data tables,
Transaction data table can be obtained, the transaction data table is merged according to useful field, is obtained further according to the transaction data table after merging
Take the Transaction Information of trading object.
The useful field can be as needed transaction data determine, such as in order to effectively determine there may be cheat sexual intercourse
Easy sales force, the transaction data needed may include sales force, sales discount rate, the corresponding number of deals of trading object
According to then corresponding useful field may include sales force, sales discount rate, trading object field.It should be noted that here
Sales force, sales discount rate and trading object not limit must be identical character express form, can be according to reality
The application scenarios on border are determined.For example, " trading object " field, if in actual scene by material or transaction item come
Indicate the concept of trading object, then corresponding field can be " material " or " transaction item " field.
The Table Header information in each transaction data table can be such as obtained, then, useful field is determined according to Table Header information, to close
And part transaction data table, obtain the Transaction Information of trading object.
In some embodiments, it can such as be filtered out from a large amount of transaction data table comprising some or all of useful word
The transaction data table of section；Then, this is carried into useful word using the shared field in each transaction data table with useful field
Each transaction data table of section merges.To which transaction data is carried out efficient association and screening, the friendship that is mutually related is obtained
Easy information.It can also be according to having the transaction data of same transaction number and same transaction object to merge, to obtain often
A transaction item corresponding transaction data in every transaction.
For example, as shown in Fig. 2, showing the table in tran list and price application form both transaction data tables in Fig. 2
Header, the Table Header information of tran list include sales force, material (trading object), transaction number, quotation No., industry,
Delivery date, delivery quantity and sale total price field, the Table Header information of price application form includes standard price, material, transaction
Number, quotation No., quotation and discount rate field.Correspondingly, the tran list and price application form include above-mentioned gauge outfit
Corresponding transaction data under information.Assuming that sales force, material and discount rate are available fields, then it will contain available fields
Two kinds of transaction data tables screen, it is then possible to which two tables are merged.Thus by sales force, material and discount
The corresponding transaction data of the available fields such as rate is effectively associated with, and is rolled over obtaining sale of certain transaction item in certain transaction
Button rate data and sales force's information.
Two tables can be such as analyzed, material, transaction number and quotation No. therein are shared field, then can basis
Common field merges two transaction data tables, so as to obtain the Transaction Information that is mutually related.
S4：The sales discount rate of trading object guideline discount corresponding with the trading object is compared,
Calculate the sales discount rate deviation of the trading object.
The corresponding sales discount rate data of the trading object can be obtained from the Transaction Information of the trading object, so
Afterwards, the sales discount rate of trading object guideline discount corresponding with the trading object is compared, calculates the transaction
The sales discount rate deviation of object.The corresponding guideline discount of the trading object can be preset, can also be
Determination is calculated according to certain rule.
In some embodiments of this specification, as described in can calculate the sales discount rate data of trading object with it is described
The difference of the guideline discount of trading object, using difference as the sales discount rate deviation of the trading object.This specification
Other embodiment in, the sales discount rate data mark corresponding with the trading object of the trading object can also be calculated
The ratio of quasi- discount rate, using ratio as the sales discount rate deviation of the trading object.Specific calculation simultaneously not only limits
In above two method, the method that can also use other expression sales discount rate relative standard's discount rate deviations calculates the pin
Sell discount rate deviation.
In one embodiment of this specification, the corresponding guideline discount of the trading object may include the trading object
The guideline discount of affiliated trading object classification.Trading object classification may include affiliated industry, the brand of trading object
Or model etc..For example, certain transaction item is a mobile phone A, the sales discount rate in a corresponding transaction is SA.If
Classify by mobile phone model, the model M of the mobile phone A can be obtained.Correspondingly, the mobile phone that can count mobile phone model M exists
Sales discount rate data in more transactions, it is then possible to the mean value of the sales discount rate data in more transactions be calculated, by institute
State guideline discount S of the mean value as mobile phone model MM.By sales discount rate S of the mobile phone A in this transactionAWith the hand
The corresponding guideline discount S of machine AMComparison, calculates the sales discount rate deviation S of mobile phone AM-A.Based on the friendship belonging to trading object
Easy object type determines the corresponding guideline discount of the trading object, more can analyze targetedly and accurately sale people
The trading activity of member.
In one embodiment of this specification, the more of trading object described in the trading object classification can also be obtained
A sales discount rate calculates the median of multiple sales discount rates of the trading object, according to median determination
The corresponding guideline discount of trading object.Specifically, can be by finding out center after multiple sales discount rates are sorted from height
Between a number as sales discount rate median, if the number of sales discount rate is even number, most intermediate two can be taken
The average of numerical value is as median.
In the another embodiment of this specification, the trading object disappearing in the Transaction Information can also be obtained
Take trade information, determines the guideline discount of the trading object with trade information based on the consumption.The consumption industry letter
Breath may include consumer groups (crowd of different occupations, age), consumer field (civilian, military project) etc..Difference consumption industry
It may be influenced by market in practical operation, the sales discount rate provided during sales force's effective sale exists certain
Otherness.By distinguishing different consumption industries, the sale folding of the actual conditions analysis transaction of different consumption industries can be directed to
Button rate deviation, with more targeted and accurately analysis sales force trading activity.
In the another embodiment of this specification, it is total to obtain sale of the trading object in the Transaction Information
Total price section belonging to valence and the sale total price determines the transaction based on the total price section belonging to the sale total price
The guideline discount of object.Total price section is obtained specifically, by sale total price can divide in advance, for example, can be by pin
It sells total price and is divided into basic, normal, high three sections.Then, the corresponding standard folding of the trading object is calculated in each total price section
Button rate further determines the sales discount rate deviation of trading object.
In general, sale total price is higher, the sales discount rate that can apply is lower, and total price section is sold using dividing
The comparativity that mode is analyzed is higher.The fraudulent transactions of height sale total price can result in greater loss, and general company also can
The fraudulent transactions for tending to pay close attention to high sale total price, are analyzed by carrying out by stages to sale total price, can be more
The abnormal transaction for targetedly paying close attention to higher sale total price, more corresponds to actual needs.
S6：Determine that the corresponding sales force's information of exception trading object, the exception trading object are rolled over based on the sale
The trading object that button rate deviation is more than predetermined threshold value determines.
The trading object that predetermined threshold value can be more than based on the sales discount rate deviation determines abnormal trading object.Such as
Obtain the sales discount rate deviation S of transaction item mobile phone AM-A, predetermined threshold value 0.8, if SM-AMore than 0.8, then can be determined that
Transaction item mobile phone A is abnormal trading object.It is then possible to determine the corresponding sales force's information of exception trading object, in turn
Abnormal sales force can be determined according to the corresponding sales force's information of abnormal trading object.
Judge the sales discount rate deviation of the trading object and the magnitude relationship of predetermined threshold value, sales discount rate deviation
Value is bigger to indicate that the intensity of anomaly of the trading object is higher, and the corresponding suspicious degree of sales force is higher, to utilize sale folding
Button rate deviation can effectively identify that there may be the sales forces of the abnormal trading activity such as fraudulent.The predetermined threshold value can
With according to actual market situation sets itself.
Further, it can such as set sales discount rate deviation and indicate that the sales discount rate of the trading object is low more than 1
In average level, belong to abnormal trading object.It is then also possible to selective selling discount rate deviation is respectively 1.2,1.3,1.4,
1.5 abnormal trading object is analyzed respectively.And corresponding sale people is filtered out according to the Transaction Information of abnormal trading object
Member carries out classification analysis to search the abnormal sales force of different suspicious degree on demand.In conjunction with specific market conditions, analysis
Trading activity of the higher abnormal sales force of suspicious degree in certain transaction or repeatedly transaction, judges that it whether there is and takes advantage of
Sexual transaction behavior is cheated, or key monitoring is carried out to it.
Using the scheme of this specification the various embodiments described above, it can reflect sales force by sales discount rate deviation
Extremely the suspicious degree merchandised, it is different that the bigger expression sales force of sales discount rate deviation more there may be fraudulent etc.
Often transaction.Further, can also be filtered out using sales discount rate deviation the higher abnormal sales force of intensity of anomaly into
Row is paid close attention to, and with the effectively identification of auxiliary company, there are the sales forces that fraudulent transactions etc. are merchandised extremely.
Fig. 3 is the flow diagram of abnormal sales person identification method in another embodiment that this specification provides.Such as
Shown in Fig. 3, in another embodiment that this specification provides, the method can also include：
S802：The total abnormal trading object number of statistics and the abnormal trading object number of sales force；
S804：It is true according to the abnormal trading object number of the sales force and the ratio of total abnormal trading object number
Determine the suspicious ratio of sales force；
S806：According to the suspicious abnormal sales force of ratio identification.
A certain range of trading object can be obtained, can such as be obtained in the regular period, (such as clothes row in certain industry
Industry, electronics industry etc.), all trading objects and corresponding Transaction Information in certain total price section.Can certainly be all rows
Transaction Information under the conditions of industry all periods etc., specific range qualifications can be set according to actual needs.Count the model
The number of abnormal trading object in enclosing obtains each exception trading object pair within the scope of this as total abnormal trading object number
The sales force's information answered counts the abnormal transaction pair of the corresponding abnormal trading object number firm sale personnel of each sales force
As number.
It can be using the abnormal number of deals of single sales force to the ratio of total abnormal number of deals as corresponding sales force
Suspicious ratio, according to the abnormal sales force of suspicious ratio identification.So as to based on the transaction data under certain condition,
Analysis sales force merchandise accounting rate extremely, further assists company's effectively abnormal accounting rate of merchandising of analysis or supervision part
The trading activity of higher sales force.
In one embodiment, the suspicious ratio of the sales force can be ranked up from high to low, according to row
The abnormal sales force of suspicious ratio identification after sequence, the suspicious higher explanation suspicious degree of the sales force of ratio is bigger, Ke Yichong
The point concern higher sales force of the suspicious ratio in part, analyzes its trading activity, and abnormal sales force is determined with more efficient.
Each embodiment in this specification is described in a progressive manner, identical similar portion between each embodiment
Point just to refer each other, and each embodiment focuses on the differences from other embodiments.Specifically it is referred to
The description of aforementioned relevant treatment related embodiment, does not do repeat one by one herein.
It is above-mentioned that this specification specific embodiment is described.Other embodiments are in the scope of the appended claims
It is interior.In some cases, the action recorded in detail in the claims or step can be come according to different from the sequence in embodiment
It executes and desired result still may be implemented.In addition, the process described in the accompanying drawings not necessarily require show it is specific suitable
Sequence or consecutive order could realize desired result.In some embodiments, multitasking and parallel processing be also can
With or it may be advantageous.
A kind of abnormal sales person identification method that this specification one or more embodiment provides, can be rolled over by selling
Button rate deviation reflects suspicious degree that sales force is merchandised extremely, and sales discount rate deviation is bigger indicates corresponding
Sales force is more abnormal, and to assist company effectively to identify, there are the sales forces of the abnormal trading activity such as fraudulent.
Based on abnormal sales person identification method described above, this specification one or more embodiment also provides one kind
Abnormal sales person identification device.The device may include the system for having used this specification embodiment the method, soft
Part (application), module, component, server etc. simultaneously combine the necessary device for implementing hardware.Based on same innovation thinking, this explanation
Device in one or more embodiments that book embodiment provides is as described in the following examples.The reality solved the problems, such as due to device
Existing scheme is similar to method, therefore the implementation of the specific device of this specification embodiment may refer to the implementation of preceding method, weight
Multiple place repeats no more.Used below, the software of predetermined function and/or hard may be implemented in term " unit " or " module "
The combination of part.Although device described in following embodiment is preferably realized with software, hardware or software and hardware
The realization of combination be also that may and be contemplated.Specifically, Fig. 4 indicates a kind of abnormal sales person identification that specification provides
The modular structure schematic diagram of device embodiment, such as Fig. 4, described device may include：
Transaction Information acquisition module 102 can be used for obtaining the Transaction Information of trading object, and the Transaction Information includes pin
Sell discount rate, sales force's information；
Deviation computing module 104 can be used for the sales discount rate of the trading object and the trading object pair
The guideline discount answered is compared, and the sales discount rate deviation of the trading object is calculated；
First identification module 106 is determined for the corresponding sales force's information of abnormal trading object, the abnormal friendship
The trading object that easy object is more than predetermined threshold value based on the sales discount rate deviation determines.
Using the scheme in above-described embodiment, it can reflect that it is abnormal that sales force carries out by sales discount rate deviation
The suspicious degree of transaction, the bigger expression sales force of sales discount rate deviation more there may be fraudulent etc. and merchandise extremely.
Further, the higher abnormal sales force of intensity of anomaly can also be filtered out using sales discount rate deviation carries out emphasis pass
Note, with the effectively identification of auxiliary company, there are the sales forces that fraudulent transactions etc. are merchandised extremely.
In one embodiment of this specification, the Transaction Information acquisition module 102 may include combining unit and friendship
Easy information acquisition unit, wherein
The combining unit, can be used for obtaining transaction data table, merge the transaction data table, institute according to useful field
It includes sales force, sales discount rate and the trading object field in transaction data table to state useful field；
The Transaction Information acquiring unit can be used for obtaining the transaction of trading object according to the transaction data table after merging
Information.
Using the scheme in above-described embodiment, more efficient useful transaction can be filtered out from a large amount of transaction data
Data and carried out it is interrelated, improve follow-up data processing efficiency.
Fig. 5 is the modular structure schematic diagram for the abnormal sales person identification device embodiment of another kind that this specification provides.
As shown in figure 5, in another embodiment of this specification, described device can also include suspicious ratio computation module 108 and
Second identification module 110, wherein
The suspicious ratio computation module 108 can be used for counting total abnormal trading object number and sales force
Abnormal trading object number, according to the ratio of the abnormal trading object number of the sales force and total abnormal trading object number
The suspicious ratio of firm sale personnel；
Second identification module 110 can be used for according to the suspicious abnormal sales force of ratio identification.
It, can be based on total abnormal transaction point under certain condition using suspicious ratio using the scheme in above-described embodiment
Analysis sales force merchandise accounting rate extremely, and company is further assisted effectively analysis or to supervise the trading activity of sales force.
In another embodiment of this specification, second identification module 110 may include sequencing unit and identification
Unit, wherein
The sequencing unit can be used for the suspicious ratio of the sales force being ranked up from high to low；
The recognition unit can be used for according to the suspicious abnormal sales force of ratio identification.
Using the scheme in above-described embodiment, the higher sales force of the suspicious ratio in part can be paid close attention to, it is analyzed
Trading activity determines that there are the sales forces of the abnormal trading activity such as fraudulent with more efficient.
It should be noted that device described above can also include other embodiment party according to the description of embodiment of the method
Formula.Concrete implementation mode is referred to the description of related method embodiment, does not repeat one by one herein.
A kind of abnormal sales person identification device that this specification one or more embodiment provides, can be rolled over by selling
Button rate deviation reflects suspicious degree that sales force is merchandised extremely, and sales discount rate deviation is bigger indicates corresponding
Sales force is more abnormal, and to assist company effectively to identify, there are the sales forces of the abnormal trading activity such as fraudulent.
The method or apparatus described in above-described embodiment that this specification provides can realize that business is patrolled by computer program
It collects and records on a storage medium, the storage medium can be read and be executed with computer, realize this specification embodiment institute
The effect of description scheme.Therefore, this specification also provides a kind of abnormal sales person identification processing equipment, including processor and deposits
The memory for storing up processor-executable instruction is realized when described instruction is executed by the processor and is included the following steps：
The Transaction Information of trading object is obtained, the Transaction Information includes sales discount rate, sales force's information；
The sales discount rate of trading object guideline discount corresponding with the trading object is compared, is calculated
The sales discount rate deviation of the trading object；
Determine that the corresponding sales force's information of exception trading object, the exception trading object are based on the sales discount rate
The trading object that deviation is more than predetermined threshold value determines.
The storage medium may include the physical unit for storing information, typically by after information digitalization again with profit
The media of the modes such as electricity consumption, magnetic or optics are stored.The storage medium, which has, may include：Letter is stored in the way of electric energy
The device of breath such as, various memory, such as RAM, ROM；The device of information is stored in the way of magnetic energy such as, hard disk, floppy disk, magnetic
Band, core memory, magnetic bubble memory, USB flash disk；Using optical mode store information device such as, CD or DVD.Certainly, also its
Readable storage medium storing program for executing of his mode, such as quantum memory, graphene memory etc..
It should be noted that processing equipment described above can also include other implement according to the description of embodiment of the method
Mode.Concrete implementation mode is referred to the description of related method embodiment, does not repeat one by one herein.
The embodiment of the method that this specification embodiment is provided can mobile terminal, terminal, server or
It is executed in similar arithmetic unit.For running on the server, Fig. 6 is a kind of abnormal sale using the embodiment of the present invention
The hardware block diagram of personal identification server.As shown in fig. 6, server 10 may include one or more (only shown in figure
One) (processor 100 can include but is not limited to the place of Micro-processor MCV or programmable logic device FPGA etc. to processor 100
Manage device), memory 200 for storing data and the transmission module 300 for communication function.This neighborhood ordinary skill
Personnel are appreciated that structure shown in fig. 6 is only to illustrate, and do not cause to limit to the structure of above-mentioned electronic device.For example, clothes
Business device 10 may also include more than shown in Fig. 6 or less component, such as can also include other processing hardware, in full
According to library or multi-level buffer, GPU, or with the configuration different from shown in Fig. 6.
Memory 200 can be used for storing the software program and module of application software, such as the search in the embodiment of the present invention
Corresponding program instruction/the module of method, processor 100 are stored in software program and module in memory 200 by operation,
To perform various functions application and data processing.Memory 200 may include high speed random access memory, may also include non-volatile
Property memory, such as one or more magnetic storage device, flash memory or other non-volatile solid state memories.In some realities
In example, memory 200 can further comprise the memory remotely located relative to processor 100, these remote memories can be with
Pass through network connection to terminal 10.The example of above-mentioned network includes but not limited to internet, intranet, local
Net, mobile radio communication and combinations thereof.
Transmission module 300 is used to receive via a network or transmission data.Above-mentioned network specific example may include
The wireless network that the communication providers of terminal 10 provide.In an example, transmission module 300 includes that a network is suitable
Orchestration (Network Interface Controller, NIC), can be connected with other network equipments by base station so as to
Internet is communicated.In an example, transmission module 300 can be radio frequency (Radio Frequency, RF) module,
For wirelessly being communicated with internet.
A kind of abnormal sales person identification device described in above-described embodiment, can be by sales discount rate deviation come anti-
The suspicious degree that sales force is merchandised extremely is reflected, sales discount rate deviation is bigger to indicate that corresponding sales force is more different
Often, to assist company effectively to identify that there are the sales forces of the abnormal trading activity such as fraudulent.
This specification also provides a kind of abnormal sales person identification system, and the system can be that individually exception sells people
Member's identifying system, can also apply in multi-exchange analysis process system.The system can be individual server,
May include one or more the methods or one or more embodiment device for having used this specification server cluster,
System (including distributed system), software (application), practical operation device, logic gates device, quantum computer etc. are simultaneously tied
Close the necessary terminal installation for implementing hardware.It is described exception sales person identification system may include at least one processor and
Store the memory of computer executable instructions, the processor realized when executing described instruction it is above-mentioned any one or it is multiple
Described in embodiment the step of method.
It should be noted that system described above can also include others according to the description of method or device embodiment
Embodiment, concrete implementation mode are referred to the description of related method embodiment, do not repeat one by one herein.
A kind of abnormal sales person identification system described in above-described embodiment, can be by sales discount rate deviation come anti-
The suspicious degree that sales force is merchandised extremely is reflected, sales discount rate deviation is bigger to indicate that corresponding sales force is more different
Often, to assist company effectively to identify that there are the sales forces of the abnormal trading activity such as fraudulent.
It should be noted that this specification device or system described above according to the description of related method embodiment also
May include other embodiments, concrete implementation mode is referred to the description of embodiment of the method, does not go to live in the household of one's in-laws on getting married one by one herein
It states.Each embodiment in this specification is described in a progressive manner, and identical similar part is mutual between each embodiment
Mutually referring to each embodiment focuses on the differences from other embodiments.Especially for hardware+program
For class, storage medium+program embodiment, since it is substantially similar to the method embodiment, so description is fairly simple, it is related
Place illustrates referring to the part of embodiment of the method.
Although being mentioned in this specification embodiment content a certain range of using median calculating guideline discount, acquisition
The operations such as acquisition, definition, interaction, calculating, the judgement of trading object and Transaction Information etc and data description, still, this theory
Bright book embodiment is not limited to comply with standard situation described in data model/template or this specification embodiment.
Certain professional standards use embodiment modified slightly in self-defined mode or the practice processes of embodiment description
May be implemented above-described embodiment it is identical, it is equivalent or it is close or deformation after it is anticipated that implementation result.Using these modifications or deformation
The embodiment of the acquisitions such as data acquisition, storage, judgement, processing mode afterwards still may belong to the optional implementation of this specification
Within aspects.
It is above-mentioned that this specification specific embodiment is described.Other embodiments are in the scope of the appended claims
It is interior.In some cases, the action recorded in detail in the claims or step can be come according to different from the sequence in embodiment
It executes and desired result still may be implemented.In addition, the process described in the accompanying drawings not necessarily require show it is specific suitable
Sequence or consecutive order could realize desired result.In some embodiments, multitasking and parallel processing be also can
With or it may be advantageous.
System, device, module or the unit that above-described embodiment illustrates can specifically realize by computer chip or entity,
Or it is realized by the product with certain function.It is a kind of typically to realize that equipment is computer.Specifically, computer for example may be used
Think personal computer, laptop computer, vehicle-mounted human-computer interaction device, cellular phone, camera phone, smart phone, individual
Digital assistants, media player, navigation equipment, electronic mail equipment, game console, tablet computer, wearable device or
The combination of any equipment in these equipment of person.
For convenience of description, it is divided into various modules when description apparatus above with function to describe respectively.Certainly, implementing this
The function of each module is realized can in the same or multiple software and or hardware when specification one or more, it can also
The module for realizing same function is realized by the combination of multiple submodule or subelement etc..Device embodiment described above is only
It is only illustrative, for example, in addition the division of the unit, only a kind of division of logic function can have in actual implementation
Dividing mode, such as multiple units or component can be combined or can be integrated into another system or some features can be with
Ignore, or does not execute.Another point, shown or discussed mutual coupling, direct-coupling or communication connection can be logical
Some interfaces are crossed, the INDIRECT COUPLING or communication connection of device or unit can be electrical, machinery or other forms.
It is also known in the art that other than realizing controller in a manner of pure computer readable program code, it is complete
Entirely can by by method and step carry out programming in logic come so that controller with logic gate, switch, application-specific integrated circuit, programmable
The form of logic controller and embedded microcontroller etc. realizes identical function.Therefore this controller is considered one kind
Hardware component, and the structure that the device for realizing various functions that its inside includes can also be considered as in hardware component.Or
Person even, can will be considered as either the software module of implementation method can be hardware again for realizing the device of various functions
Structure in component.
The present invention be with reference to according to the method for the embodiment of the present invention, the flow of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided
Instruct the processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine so that the instruction executed by computer or the processor of other programmable data processing devices is generated for real
The device for the function of being specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that instruction generation stored in the computer readable memory includes referring to
Enable the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device so that count
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, in computer or
The instruction executed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
In a typical configuration, computing device includes one or more processors (CPU), input/output interface, net
Network interface and memory.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
Including so that process, method, commodity or equipment including a series of elements include not only those elements, but also wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that wanted including described
There is also other identical elements in the process of element, method or equipment.
It will be understood by those skilled in the art that this specification one or more embodiment can be provided as method, system or calculating
Machine program product.Therefore, this specification one or more embodiment can be used complete hardware embodiment, complete software embodiment or
The form of embodiment combining software and hardware aspects.Moreover, this specification one or more embodiment can be used at one or
It is multiple wherein include computer usable program code computer-usable storage medium (include but not limited to magnetic disk storage,
CD-ROM, optical memory etc.) on the form of computer program product implemented.
This specification one or more embodiment can computer executable instructions it is general on
Described in hereafter, such as program module.Usually, program module includes executing particular task or realization particular abstract data type
Routine, program, object, component, data structure etc..This this specification one can also be put into practice in a distributed computing environment
Or multiple embodiments, in these distributed computing environments, by being held by the connected remote processing devices of communication network
Row task.In a distributed computing environment, program module can be located at the local and remote computer including storage device
In storage medium.
Each embodiment in this specification is described in a progressive manner, identical similar portion between each embodiment
Point just to refer each other, and each embodiment focuses on the differences from other embodiments.Especially for system reality
For applying example, since it is substantially similar to the method embodiment, so description is fairly simple, related place is referring to embodiment of the method
Part explanation.In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ",
The description of " specific example " or " some examples " etc. means specific features described in conjunction with this embodiment or example, structure, material
Or feature is contained at least one embodiment or example of this specification.In the present specification, to the signal of above-mentioned term
Property statement must not necessarily be directed to identical embodiment or example.Moreover, specific features, structure, material or the spy of description
Point may be combined in any suitable manner in any one or more of the embodiments or examples.In addition, without conflicting with each other,
Those skilled in the art can be by different embodiments or examples described in this specification and different embodiments or examples
Feature is combined.
The foregoing is merely the embodiments of this specification, are not limited to this specification.For art technology
For personnel, this specification can have various modifications and variations.It is all this specification spirit and principle within made by it is any
Modification, equivalent replacement, improvement etc., should be included within the right of this specification.
Claims (12)
1. a kind of exception sales person identification method, the method includes：
The Transaction Information of trading object is obtained, the Transaction Information includes sales discount rate, sales force's information；
The sales discount rate of trading object guideline discount corresponding with the trading object is compared, described in calculating
The sales discount rate deviation of trading object；
Determine that the corresponding sales force's information of exception trading object, the exception trading object are based on the sales discount rate deviation
Value is determined more than the trading object of predetermined threshold value.
2. exception sales person identification method according to claim 1, the Transaction Information for obtaining trading object, packet
It includes：
Obtain transaction data table；
Merge the transaction data table according to useful field, the useful field includes sales force in transaction data table, pin
Sell discount rate and trading object field；
The Transaction Information of trading object is obtained according to the transaction data table after merging.
3. exception sales person identification method according to claim 1, the trading object is determined using following manner
Guideline discount：
Obtain consumption trade information of the trading object in the Transaction Information；
The guideline discount of the trading object is determined with trade information based on the consumption.
4. exception sales person identification method according to claim 1, the trading object is determined using following manner
Guideline discount：
Obtain sale total price of the trading object in the Transaction Information and the total price area belonging to the sale total price
Between；
The guideline discount of the trading object is determined based on the total price section belonging to the sale total price.
5. exception sales person identification method according to claim 1, the trading object is determined using following manner
Guideline discount：
Obtain the trading object classification belonging to the trading object；
The guideline discount of the trading object is determined based on the trading object classification.
6. exception sales person identification method according to claim 5, the trading object is determined using following manner
Guideline discount：
Obtain multiple sales discount rates of trading object described in the trading object classification；
The median for calculating multiple sales discount rates of the trading object, the trading object pair is determined according to the median
The guideline discount answered.
7. according to claim 1-6 any one of them exception sales person identification methods, the determining abnormal trading object pair
After the sales force's information answered, further include：
The total abnormal trading object number of statistics and the abnormal trading object number of sales force；
According to the ratio firm sale people of the abnormal trading object number of the sales force and total abnormal trading object number
The suspicious ratio of member；
According to the suspicious abnormal sales force of ratio identification.
8. exception sales person identification method according to claim 7, described according to the suspicious abnormal pin of ratio identification
Personnel are sold, including：
The suspicious ratio of the sales force is ranked up from high to low, according to the suspicious abnormal sale people of ratio identification
Member.
9. a kind of exception sales person identification device, described device include：
Transaction Information acquisition module, the Transaction Information for obtaining trading object, the Transaction Information include sales discount rate, pin
Sell personal information；
Deviation computing module is used for the sales discount rate of trading object standard discount corresponding with the trading object
Rate is compared, and the sales discount rate deviation of the trading object is calculated；
First identification module, for determining that the corresponding sales force's information of abnormal trading object, the exception trading object are based on
The trading object that the sales discount rate deviation is more than predetermined threshold value determines.
10. exception sales person identification device according to claim 9, described device further include：
Suspicious ratio computation module, the abnormal trading object number for counting total abnormal trading object number and sales force,
According to the abnormal trading object number of the sales force with the ratio firm sale personnel's of total abnormal trading object number
Suspicious ratio；
Second identification module, for according to the suspicious abnormal sales force of ratio identification.
11. a kind of exception sales person identification equipment, including processor and the memory for storing processor-executable instruction,
It realizes and includes the following steps when described instruction is executed by the processor：
The Transaction Information of trading object is obtained, the Transaction Information includes sales discount rate, sales force's information；
The sales discount rate of trading object guideline discount corresponding with the trading object is compared, described in calculating
The sales discount rate deviation of trading object；
Determine that the corresponding sales force's information of exception trading object, the exception trading object are based on the sales discount rate deviation
Value is determined more than the trading object of predetermined threshold value.
12. a kind of exception sales person identification system, including at least one processor and storage computer executable instructions
The step of memory, the processor realizes any one of claim 1-8 the methods when executing described instruction.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810554309.3A CN108776899A (en) | 2018-06-01 | 2018-06-01 | A kind of exception sales person identification method, apparatus and processing equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810554309.3A CN108776899A (en) | 2018-06-01 | 2018-06-01 | A kind of exception sales person identification method, apparatus and processing equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108776899A true CN108776899A (en) | 2018-11-09 |
Family
ID=64028267
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810554309.3A Pending CN108776899A (en) | 2018-06-01 | 2018-06-01 | A kind of exception sales person identification method, apparatus and processing equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108776899A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114662933A (en) * | 2022-03-24 | 2022-06-24 | 杭州良时智能科技有限公司 | Marketing operation risk control method and system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1591436A (en) * | 2003-08-29 | 2005-03-09 | 鸿富锦精密工业（深圳）有限公司 | System and method for selling account statement |
| CN101743560A (en) * | 2007-05-18 | 2010-06-16 | 国际签证服务协会 | Be used for analyzing financial data to determine the method and system of cost of fraud |
| CN104217345A (en) * | 2013-05-29 | 2014-12-17 | 芝贝利有限公司 | Realizing method and system for electronic discount coupons |
| CN107133856A (en) * | 2017-05-31 | 2017-09-05 | 北京京东尚科信息技术有限公司 | The control method and device of risk order |
-
2018
- 2018-06-01 CN CN201810554309.3A patent/CN108776899A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1591436A (en) * | 2003-08-29 | 2005-03-09 | 鸿富锦精密工业（深圳）有限公司 | System and method for selling account statement |
| CN101743560A (en) * | 2007-05-18 | 2010-06-16 | 国际签证服务协会 | Be used for analyzing financial data to determine the method and system of cost of fraud |
| CN104217345A (en) * | 2013-05-29 | 2014-12-17 | 芝贝利有限公司 | Realizing method and system for electronic discount coupons |
| CN107133856A (en) * | 2017-05-31 | 2017-09-05 | 北京京东尚科信息技术有限公司 | The control method and device of risk order |
Non-Patent Citations (1)
| Title |
|---|
| 百度知道: ""公司批发价格是零售价的3折，一个业务员4折卖了，但是给公司单子是3折，赚取一折差价。这样该怎么办？"", 《百度知道》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114662933A (en) * | 2022-03-24 | 2022-06-24 | 杭州良时智能科技有限公司 | Marketing operation risk control method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103577991B (en) | The recognition methods of user a kind of and device | |
| CN109101989A (en) | A kind of Merchant Category model construction and Merchant Category method, device and equipment | |
| Bichler et al. | A computational analysis of linear price iterative combinatorial auction formats | |
| US20140156347A1 (en) | Enhanced Market Basket Analysis | |
| JP2016207059A (en) | Behavior analysis system and behavior analysis method | |
| Lobel | Dynamic pricing with heterogeneous patience levels | |
| Jiang et al. | Trading networks, abnormal motifs and stock manipulation | |
| CN109636457A (en) | A kind of advertisement placement method, apparatus and system towards high net value client | |
| CN108805444A (en) | Appraisal procedure, device, equipment and computer readable storage medium | |
| CN109583890A (en) | Recognition methods, device and the equipment of abnormal trading object | |
| Ali et al. | Comparison of Islamic and Conventional Banking on the Basis of Riba and Services: A case study of Peshawar Region | |
| CN109711866A (en) | A kind of bank advertising put-on method, apparatus and system | |
| JP6160165B2 (en) | Evaluation support program, evaluation support apparatus, and evaluation support method | |
| CN108776899A (en) | A kind of exception sales person identification method, apparatus and processing equipment | |
| Jahromi et al. | Customer churn models: a comparison of probability and data mining approaches | |
| CN115293291A (en) | Training method of ranking model, ranking method, device, electronic equipment and medium | |
| Ciucescu et al. | The performance of Non-Governmental Organizations | |
| Morsaghian et al. | Providing a way to Recognize Bank Customers’ needs Effectively based on Clustering Techniques, the Fuzzy TOPSIS and Kano Model: A Case Study in Bank of Qarzollhassaneh Mehr Iran in Khuzestan | |
| CN106815290A (en) | A kind of determination method and device of the bank card ownership excavated based on figure | |
| CN108537654B (en) | Rendering method and device of customer relationship network graph, terminal equipment and medium | |
| CN109636459A (en) | A kind of advertisement placement method, apparatus and system towards high net value client | |
| JP2002259667A (en) | Numerical value customer managing system by cell group | |
| JP2007179441A (en) | Cancellation analyzing device and its program | |
| Yusuf et al. | Effect of Availability, Product Quality, Promotion and Price on Consumer Satisfaction of Asus Laptop Users in Banda Aceh City | |
| CN111832868B (en) | Configuration method and device for supply chain resources and readable storage medium |
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 | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20200924 Address after: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman Islands Applicant after: Advanced innovation technology Co.,Ltd. Address before: Greater Cayman, British Cayman Islands Applicant before: Alibaba Group Holding Ltd. Effective date of registration: 20200924 Address after: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman Islands Applicant after: Innovative advanced technology Co.,Ltd. Address before: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman Islands Applicant before: Advanced innovation technology Co.,Ltd. |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181109 |