CN108510302A - A kind of marketing decision-making method and trading server - Google Patents
A kind of marketing decision-making method and trading server Download PDFInfo
- Publication number
- CN108510302A CN108510302A CN201710115609.7A CN201710115609A CN108510302A CN 108510302 A CN108510302 A CN 108510302A CN 201710115609 A CN201710115609 A CN 201710115609A CN 108510302 A CN108510302 A CN 108510302A
- Authority
- CN
- China
- Prior art keywords
- end article
- target user
- trade matching
- trading server
- information
- 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
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
- G06Q30/0222—During e-commerce, i.e. online transactions
-
- 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]
- G06Q30/0631—Item recommendations
-
- 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
Abstract
The embodiment of the present application provides a kind of marketing decision-making method and trading server, the buying rate for improving end article.The embodiment of the present application method includes：Trading server determines that end article and target user, the target user are the user that the end article is indicated in the shopping cart information according to the shopping cart information of user, and the price of the end article is carried in the shopping cart information；The trading server judges whether the end article meets predefined trade matching rule according to the analysis result to the end article and the target user；If meeting the trade matching rule, then the trading server pushes the corresponding trade matching information of the end article to the target user, the trade matching information is used to indicate the trade matching price of end article, and the trade matching price is less than the price of the end article.
Description
Technical field
This application involves Internet technical field more particularly to a kind of marketing decision-making method and trading servers.
Background technology
With the development of Internet technology, the popularity rate of shopping online becomes higher and higher, and a large amount of user is by care
Commodity are put into shopping cart, etc. prices it is suitable or waited advertising campaign when is bought again.Marketing personal plans or publication
When advertising campaign, it is desirable to which being pushed to current advertising campaign most has the consumer of purchase intention.
Existing marketing methods generally according to the current consumption of consumer, for some Consumer groups or are directed to
Certain specific commodity is marketed, and by transaction system by the corresponding sales promotion information of commodity sales promotion, is pushed to consumer come into doing business
Product promote.
In existing marketing methods, though sales promotion information has been pushed to consumer, but transaction system still may connect
The corresponding order information of commodity sales promotion is can not receive, therefore illustrates consumer to the no clearly purchase intention of commodity sales promotion, and is dropped
Low consumer buys the probability of commodity sales promotion, low so as to cause the buying rate of commodity sales promotion.
Invention content
The embodiment of the present application provides a kind of marketing decision-making method and trading server, the purchase for improving end article
Rate.
The first aspect of the embodiment of the present application provides a kind of marketing decision-making method, including：
First, trading server determines end article and target user according to the shopping cart information of user, the target user
To indicate the user of the end article in the shopping cart information, the price of the end article is carried in the shopping cart information；
Secondly, which judges the end article according to the analysis result to the end article and the target user
Whether predefined trade matching rule is met；
Finally, if meeting trade matching rule, which pushes the end article pair to the target user
The trade matching information answered, the trade matching information are used to indicate the trade matching price of end article, the trade matching price
Less than the price of the end article.
As can be seen from the above technical solutions, the embodiment of the present application has the following advantages：
Trading server determines end article and target user according to the shopping cart information of user, is scooped up when end article meets
When closing trading rules, trading server pushes the corresponding trade matching information of end article to target user, it is to be understood that
End article in shopping cart is the commodity that target user has clear purchase intention, and trade matching information is pushed to simultaneously
Multiple target users bring purchase end article together, and the price that such target user can be more preferential, which is bought, is added to shopping
End article in vehicle, to which the embodiment of the present application is effectively improved the probability that target user buys end article, improves mesh
Mark the buying rate of commodity.
In conjunction with the embodiment of the present application in a first aspect, the possible realization in the first of the first aspect of the embodiment of the present application
In mode, after the trading server determines end article and target user according to the shopping cart information of user, transaction clothes
Business device judges whether the end article meets according to the correspondence between end article and target user and predefined brings friendship together
Easily before rule, further include：
First, after trading server determines end article and target user, trading server carries out end article
Commodity stocks is analyzed, and the first ratio value is obtained, and end article is in shopping cart information by the commodity that user's attention rate is high, the first ratio
Example value can be the ratio between the quantity in stock of end article and target user's quantity of current expected purchase end article；
Secondly, trading server carries out cost analysis on the basis of the first ratio value, then to end article, obtains corresponding
Analysis result.
In this kind of realization method, trading server combining target user carries out commodity stocks analysis and commodity to end article
Cost analysis obtains corresponding analysis result so that the reliability of the analysis result becomes higher.
In conjunction with the embodiment of the present application in a first aspect, or the embodiment of the present application first aspect the first possible realization
Mode, in the embodiment of the present application in the possible realization method of second of first aspect, which uses to the target
Family pushes the corresponding trade matching information of the end article：
Trading server can push trade matching information by way of short message and/or mail to target user.
In this kind of realization method, target user is reminded by way of short message and/or mail, can make target user can
Easily to learn the trade matching information of end article, to a certain extent, the probability that end article is converted to order is improved.
The second aspect of the embodiment of the present application provides a kind of trading server, including：
Determination unit, for determining end article and target user according to the shopping cart information of user, which is
The user of the end article is indicated in the shopping cart information, and the price of the end article is carried in the shopping cart information；
Whether judging unit judges the end article for basis to the analysis result of the end article and the target user
Meet predefined trade matching rule；
If it is corresponding to push the end article for meeting trade matching rule to the target user for push unit
Trade matching information, the trade matching information are used to indicate the trade matching price of end article, which is less than
The price of the end article.
As can be seen from the above technical solutions, the embodiment of the present application has the following advantages：
Determination unit determines end article and target user according to the shopping cart information of user, is brought together when end article meets
When trading rules, push unit pushes the corresponding trade matching information of end article to target user, it is to be understood that shopping
End article in vehicle is the commodity that target user has clear purchase intention, and by trade matching information while being pushed to multiple
Target user brings purchase end article together, and the price that such target user can be more preferential, which is bought, to be added in shopping cart
End article improve target quotient to which, the embodiment of the present application is effectively improved the probability that target user buys end article
The buying rate of product.
In conjunction with the second aspect of the embodiment of the present application, the possible realization in the first of the second aspect of the embodiment of the present application
In mode, trading server further includes：
First analytic unit obtains the first ratio value, first ratio for carrying out commodity stocks analysis to the end article
Example value is the ratio between the quantity in stock and the quantity of the target customer of the end article；
Second analytic unit is somebody's turn to do for carrying out merchandise cost analysis to the end article according to first ratio value
Analysis result.
In this kind of realization method, the first analytic unit and the second analytic unit respectively in connection with target user to end article into
It does business product inventory analysis and merchandise cost is analyzed to obtain corresponding analysis result so that the reliability of the analysis result becomes more
It is high.
In conjunction with the first possible realization of the second aspect of the second aspect or the embodiment of the present application of the embodiment of the present application
Mode, in the embodiment of the present application in the possible realization method of second of second aspect, push unit includes：
First pushing module pushes the corresponding trade matching letter of the end article for passing through short message to the target user
Breath；
And/or
Second pushing module pushes the corresponding trade matching letter of the end article for passing through mail to the target user
Breath.
In this kind of realization method, target user is reminded by way of short message and/or mail, can make target user can
Easily to learn the trade matching information of end article, to a certain extent, the probability that end article is converted to order is improved.
The third aspect of the embodiment of the present application provides a kind of trading server, including：
Input equipment, output equipment, memory and processor；
The memory, for storing operational order；
The processor, for by calling the operational order, executing following operation：
End article and target user are determined according to the shopping cart information of user, which is in the shopping cart information
It indicates the user of the end article, the price of the end article is carried in the shopping cart information；
It is predefined to judge whether the end article meets according to the analysis result to the end article and the target user
Trade matching rule；
If meeting trade matching rule, the corresponding trade matching information of the end article is pushed to the target user,
The trade matching information is used to indicate the trade matching price of end article, which is less than determining for the end article
Valence.
As can be seen from the above technical solutions, the embodiment of the present application has the following advantages：
Processor determines end article and target user according to the shopping cart information of user, and friendship is brought together when end article meets
When easily regular, processor pushes the corresponding trade matching information of end article to target user, it is to be understood that in shopping cart
End article be commodity that target user has clear purchase intention, and trade matching information is pushed into multiple targets simultaneously
User brings purchase end article together, and the price that such target user can be more preferential buys the mesh being added in shopping cart
Commodity are marked, to which the embodiment of the present application is effectively improved the probability that target user buys end article, improves end article
Buying rate.
Description of the drawings
Fig. 1 is one embodiment schematic diagram of marketing decision-making method in the embodiment of the present application；
Fig. 2 is an application scenarios block schematic illustration in the embodiment of the present application；
Fig. 3 is one embodiment schematic diagram of trading server in the embodiment of the present application；
Fig. 4 is another embodiment schematic diagram of trading server in the embodiment of the present application；
Fig. 5 is another embodiment schematic diagram of trading server in the embodiment of the present application；
Fig. 6 is another embodiment schematic diagram of trading server in the embodiment of the present application.
Specific implementation mode
The embodiment of the present application provides a kind of marketing decision-making method and trading server, the purchase for improving end article
Rate.
Term " first ", " second ", " third " in the description and claims of this application and above-mentioned attached drawing, "
The (if present)s such as four " are for distinguishing similar object, without being used to describe specific sequence or precedence.It should manage
The data that solution uses in this way can be interchanged in the appropriate case, so that the embodiments described herein can be in addition to illustrating herein
Or the sequence other than the content of description is implemented.In addition, term " comprising " and " having " and their any deformation, it is intended that
Cover it is non-exclusive include, for example, containing the process of series of steps or unit, method, system, product or equipment need not limit
In those of clearly listing step or unit, but may include not listing clearly or for these processes, method, production
The intrinsic other steps of product or equipment or unit.
It, below will be from the following aspects to the application for the ease of understanding the marketing decision-making method in the embodiment of the present application
Marketing decision-making method in embodiment illustrates.
It please refers to Fig.1 and the marketing decision-making method in the embodiment of the present application is described in detail, including：
101, trading server determines end article and target user according to the shopping cart information of user.
In the present embodiment, shopping cart information is the information in the shopping cart of target user, wherein is corresponded to including end article
Information, corresponding commodity, customer information are acquired storage and obtained by shopping cart；Trading server collects shopping cart
Data, that is, shopping cart information carry out big data analysis, obtain shopping cart information in attention rate it is high do not settle accounts commodity as target
Commodity if A commodity exist in the shopping cart information of a large amount of user, but belong to and do not settle accounts state, it follows that A commodity
Concerned degree it is high, A commodity are used as the user for having A commodity in end article, and determination shopping cart information by trading server
As target user, it should be noted that the quantity of target user is generally at least two in practice, naturally it is also possible to be one
Target user.
Optionally, data structure as shown in Table 1 may be used in trading server, is acquired to shopping cart information.Root
According to daily operation, user will have the commodity of buying expectation to be added to shopping cart, and shopping cart collects relevant merchandise news, user
Information, the information such as purchasing channel.
Table 1
102, trading server judges whether end article meets according to the analysis result to end article and target user
Predefined trade matching rule thens follow the steps 103 if meeting predefined trade matching rule；If not meeting predefined
Trade matching rule, then follow the steps 104.
In the present embodiment, after transaction system obtains end article and target user by big data analysis, transaction clothes
Business device further end article and target user are analyzed, obtain corresponding analysis result, finally, trading server according to
The analysis result judges whether to meet predefined trade matching rule by end article that (such as discount information, trade matching come into force threshold
Trade matching comes into force when being worth-reach certain response number), when meeting predefined trade matching rule, transactional services
Device executes step 103；When not meeting predefined trade matching rule, trading server executes step 104.
Optionally, after transaction system is according to the high end article of the attention rate extracted, trading server is directed to target
Commodity carry out further inventory analysis：Inquiring stock interface is called according to end article information, inquires the inventory of end article
Amount, while calculating ratio i.e. the first ratio between the quantity in stock and target user's quantity of current expected purchase end article
The target user of value, such as current expected purchase has 10000 people, and the quantity in stock of end article is 5000, then the first ratio value is
5000∶10000。
Further, trading server according to first ratio value carry out merchandise cost analysis, when end article have into
When row brings the quantity in stock of marketing together, then trading server further calls commodity details query interface according to end article information,
The cost information and pricing plan information for obtaining end article carry out merchandise cost analysis, analysis result are obtained, such as target quotient
Whether product can carry out discount sales etc..
103, trading server pushes the corresponding trade matching information of end article to target user.
In the present embodiment, when end article meets predefined trade matching rule, trading server will indicate target
The trade matching information of commodity trade matching price, is sent to target user, it should be noted that pinch in trade matching information
Close the price that transaction value is more than in shopping cart.
Optionally, trading server can be pushed by sending short message, can also be pushed by mail, may be used also
Not limited this in a manner of other push herein.
Further, while trading server pushes above-mentioned trade matching information, trade matching price can also be shown
Show in the shopping cart of target user, which is converted to by order with target user with guiding.
104, other steps are executed.
In the present embodiment, when end article does not meet predefined trade matching rule, trading server executes other
Step.
In the present embodiment, trading server determines end article and target user according to the shopping cart information of user, works as mesh
When mark commodity meet trade matching rule, trading server pushes the corresponding trade matching information of end article to target user,
It is understood that the end article in shopping cart, which is target user, a commodity of clear purchase intention, and by trade matching
Information pushes to multiple target users and brings purchase end article together simultaneously, the price purchase that such target user can be more preferential
The end article being added in shopping cart is bought, to which the embodiment of the present application is effectively improved target user and buys target quotient
The probability of product improves the buying rate of end article.
In order to be better understood from the marketing decision-making method in the embodiment of the present application, come pair with reference to specific application scenarios
Marketing decision-making method in the embodiment of the present application illustrates, including：Please refer to trading server system framework shown in Fig. 2
Figure, shopping cart (Shopping Cart, SC) module undertake data acquisition function, and shopping cart is same by collected shopping cart data
Walk business intelligence (Business Intelligence, BI) module；BI modules undertake data analysis function；Resource management system
System Inventory modules provide inquiring stock function for BI modules；The management of product (Product Catalog, PC) module is BI
Module provider product information searching function；The analysis result that Promotion modules obtain BI modules is promoted, trade matching battalion is defined
Pin activity and trade matching rule；Communication engines (Communication Engineer, CE) module is to promote Promotion moulds
Block distributes trade matching information to target user；Telecommunication management (Communication Management, CM) module is CE moulds
Block provides the communication information of client, such as eMail, phone number etc..
The marketing decision-making method in the embodiment of the present application is illustrated above, below to the friendship in the embodiment of the present application
Easy server is described in detail.
Fig. 3 is please referred to the trading server in the embodiment of the present application is described in detail, including：
Determination unit 301, for determining end article and target user according to the shopping cart information of user, the target user
To indicate the user of the end article in the shopping cart information, the price of the end article is carried in the shopping cart information；
Judging unit 302 judges the end article for basis to the analysis result of the end article and the target user
Whether predefined trade matching rule is met；
If push unit 303 pushes the end article to the target user and corresponds to for meeting trade matching rule
Trade matching information, which is used to indicate the trade matching price of end article, and the trade matching price is small
In the price of the end article.
In the present embodiment, determination unit 301 determines end article and target user according to the shopping cart information of user, works as mesh
When mark commodity meet trade matching rule, push unit 303 pushes the corresponding trade matching information of end article to target user,
It is understood that the end article in shopping cart, which is target user, a commodity of clear purchase intention, and by trade matching
Information pushes to multiple target users and brings purchase end article together simultaneously, the price purchase that such target user can be more preferential
The end article being added in shopping cart is bought, to which the embodiment of the present application is effectively improved target user and buys target quotient
The probability of product improves the buying rate of end article.
As shown in figure 4, trading server can also include：First analytic unit 402 and the second analytic unit 403；
Determination unit 401, for executing the function similar with above-mentioned determination unit 401, to this, details are not described herein again；
First analytic unit 402 obtains the first ratio value, this for carrying out commodity stocks analysis to the end article
One ratio value is the ratio between the quantity in stock and the quantity of the target customer of the end article；
Second analytic unit 403 is obtained for carrying out merchandise cost analysis to the end article according to first ratio value
The analysis result；
Judging unit 404, for executing the function similar with above-mentioned judging unit 402, to this, details are not described herein again；
Push unit 405, for executing the function similar with above-mentioned push unit 403, to this, details are not described herein again.
In the present embodiment, the first analytic unit 402 and the second analytic unit 403 are respectively in connection with target user to end article
It carries out commodity stocks analysis and merchandise cost is analyzed to obtain corresponding analysis result so that the reliability of the analysis result becomes more
It is high.
As shown in figure 5, push unit 503 can also include：First pushing module 5031 and/or the second pushing module
5032；
Determination unit 501, for executing the function similar with above-mentioned determination unit 401, to this, details are not described herein again；
Judging unit 502, for executing the function similar with above-mentioned judging unit 402, to this, details are not described herein again；
First pushing module 5031 pushes the corresponding trade matching of the end article for passing through short message to the target user
Information；
And/or
Second pushing module 5032 pushes the corresponding trade matching of the end article for passing through mail to the target user
Information.
In the present embodiment, target user is reminded by way of short message and/or mail, can allow target user side
Just the trade matching information for learning end article improves the probability that end article is converted to order to a certain extent.
Fig. 6 is please referred to the trading server in the embodiment of the present application is described in detail, including：
Input equipment 610, output equipment 620, processor 630 and memory 640.Output equipment in the embodiment of the present invention
Can be display equipment.
Memory 640 may include read-only memory and random access memory, and provide instruction sum number to processor 630
According to.The a part of of memory 640 can also include nonvolatile RAM (full name in English：Non-Volatile
Random Access Memory, english abbreviation：NVRAM).
Memory 640 stores following element, executable modules or data structures either their subset or
Their superset：
Operational order：Including various operational orders, for realizing various operations.
Operating system：Including various system programs, for realizing various basic businesses and the hardware based task of processing.
Processor 630 is used in the embodiment of the present invention：
End article and target user are determined according to the shopping cart information of user, which is in the shopping cart information
It indicates the user of the end article, the price of the end article is carried in the shopping cart information；
It is predefined to judge whether the end article meets according to the analysis result to the end article and the target user
Trade matching rule；
If meeting trade matching rule, the corresponding trade matching information of the end article is pushed to the target user,
The trade matching information is used to indicate the trade matching price of end article, which is less than determining for the end article
Valence.
Processor 630 controls the operation of trading server 60, and processor 630 can also be known as central processing unit (English
Full name：Central Processing Unit, english abbreviation：CPU).Memory 640 may include read-only memory and random
Memory is accessed, and instruction and data is provided to processor 630.The a part of of memory 640 can also include NVRAM.
The method that the embodiments of the present invention disclose can be applied in processor 630, or be realized by processor 630.
Processor 630 may be a kind of IC chip, the processing capacity with signal.During realization, the above method it is each
Step can be completed by the integrated logic circuit of the hardware in processor 630 or the instruction of software form.Above-mentioned processing
Device 630 can be general processor, digital signal processor (full name in English：Digital Signal Processing, English
Abbreviation：DSP), application-specific integrated circuit (full name in English：Application Specific Integrated Circuit, English
Abbreviation：ASIC), ready-made programmable gate array (full name in English：Field-Programmable Gate Array, english abbreviation：
FPGA) either other programmable logic device, discrete gate or transistor logic, discrete hardware components.May be implemented or
Person executes disclosed each method, step and the logic diagram in the embodiment of the present invention.General processor can be microprocessor or
Person's processor can also be any conventional processor etc..The step of method in conjunction with disclosed in the embodiment of the present invention, can be straight
Connect and be presented as that hardware decoding processor executes completion, or in decoding processor hardware and software module combination executed
At.Software module can be located at random access memory, and flash memory, read-only memory, programmable read only memory or electrically-erasable can
In the storage medium of this fields such as programmable memory, register maturation.The storage medium is located at memory 640, and processor 630 is read
Information in access to memory 640, in conjunction with the step of its hardware completion above method.
The associated description of Fig. 6 can the associated description and effect of method part refering to fig. 1 understood that this place is not done excessively
It repeats.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided herein, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only a kind of division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or component
It can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown or
The mutual coupling, direct-coupling or communication connection discussed can be the indirect coupling by some interfaces, device or unit
It closes or communicates to connect, can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the application can be integrated in a processing unit, it can also
It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can be stored in a computer read/write memory medium.Based on this understanding, the technical solution of the application is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the application
Portion or part steps.And storage medium above-mentioned includes：USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can store journey
The medium of sequence code.
The above, above example are only to illustrate the technical solution of the application, rather than its limitations；Although with reference to before
Embodiment is stated the application is described in detail, it will be understood by those of ordinary skill in the art that：It still can be to preceding
The technical solution recorded in each embodiment is stated to modify or equivalent replacement of some of the technical features；And these
Modification or replacement, the spirit and scope of each embodiment technical solution of the application that it does not separate the essence of the corresponding technical solution.
Claims (7)
1. a kind of marketing decision-making method, which is characterized in that including：
Trading server determines that end article and target user, the target user are the purchase according to the shopping cart information of user
The user of the end article is indicated in object vehicle information, and the price of the end article is carried in the shopping cart information；
The trading server judges the end article according to the analysis result to the end article and the target user
Whether predefined trade matching rule is met；
If meeting the trade matching rule, the trading server pushes the end article to the target user and corresponds to
Trade matching information, the trade matching information is used to indicate the trade matching price of end article, the trade matching valence
Lattice are less than the price of the end article.
2. marketing decision-making method according to claim 1, which is characterized in that in the trading server according to the purchase of user
After object vehicle information determines end article and target user, the trading server is according between end article and target user
Before correspondence judges whether the end article meets predefined trade matching rule, further include：
The trading server carries out commodity stocks analysis to the end article, obtains the first ratio value, first ratio
Value is the ratio between the quantity in stock and the quantity of the target customer of the end article；
The trading server carries out merchandise cost analysis according to first ratio value to the end article, obtains described point
Analyse result.
3. marketing decision-making method according to claim 1 or 2, which is characterized in that the trading server is to the target
User pushes the corresponding trade matching information of the end article：
The trading server pushes the corresponding trade matching information of the end article by short message to the target user；
And/or
The trading server pushes the corresponding trade matching information of the end article by mail to the target user.
4. a kind of trading server, which is characterized in that including：
Determination unit, for determining that end article and target user, the target user are institute according to the shopping cart information of user
The user for indicating the end article in shopping cart information is stated, determining for the end article is carried in the shopping cart information
Valence；
Judging unit judges that the end article is for basis to the analysis result of the end article and the target user
It is no to meet predefined trade matching rule；
If push unit pushes the end article to the target user and corresponds to for meeting the trade matching rule
Trade matching information, the trade matching information is used to indicate the trade matching price of end article, the trade matching valence
Lattice are less than the price of the end article.
5. according to the trading server described in claim 4, which is characterized in that the trading server further includes：
First analytic unit obtains the first ratio value, first ratio for carrying out commodity stocks analysis to the end article
Example value is the ratio between the quantity in stock and the quantity of the target customer of the end article；
Second analytic unit obtains institute for carrying out merchandise cost analysis to the end article according to first ratio value
State analysis result.
6. trading server according to claim 4 or 5, which is characterized in that the push unit includes：
First pushing module, for pushing the corresponding trade matching letter of the end article to the target user by short message
Breath；
And/or
Second pushing module, for pushing the corresponding trade matching letter of the end article to the target user by mail
Breath.
7. a kind of trading server, which is characterized in that including：
Input equipment, output equipment, memory and processor；
The memory, for storing operational order；
The processor, for by calling the operational order, executing following operation：
Determine that end article and target user, the target user are in the shopping cart information according to the shopping cart information of user
It indicates the user of the end article, the price of the end article is carried in the shopping cart information；
It is predefined to judge whether the end article meets according to the analysis result to the end article and the target user
Trade matching rule；
If meeting the trade matching rule, the corresponding trade matching letter of the end article is pushed to the target user
Breath, the trade matching information are used to indicate the trade matching price of end article, and the trade matching price is less than the mesh
Mark the price of commodity.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710115609.7A CN108510302A (en) | 2017-02-28 | 2017-02-28 | A kind of marketing decision-making method and trading server |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710115609.7A CN108510302A (en) | 2017-02-28 | 2017-02-28 | A kind of marketing decision-making method and trading server |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108510302A true CN108510302A (en) | 2018-09-07 |
Family
ID=63373346
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710115609.7A Pending CN108510302A (en) | 2017-02-28 | 2017-02-28 | A kind of marketing decision-making method and trading server |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108510302A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111160936A (en) * | 2018-11-07 | 2020-05-15 | 广汽菲亚特克莱斯勒汽车销售有限公司 | Automobile sales system |
| CN112862560A (en) * | 2021-03-22 | 2021-05-28 | 于淼 | E-commerce transaction platform and device based on Internet of things and electronic equipment |
| CN113469765A (en) * | 2020-03-31 | 2021-10-01 | 珠海优特智厨科技有限公司 | Order information processing method, device, equipment and computer readable storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102236866A (en) * | 2011-08-11 | 2011-11-09 | 王冬梅 | Transaction match control method of transaction server and transaction system |
| CN105844480A (en) * | 2016-03-23 | 2016-08-10 | 上海极鲜网电子商务有限公司 | Raw and fresh food electronic transaction platform |
| US20160239867A1 (en) * | 2015-02-16 | 2016-08-18 | Adobe Systems Incorporated | Online Shopping Cart Analysis |
-
2017
- 2017-02-28 CN CN201710115609.7A patent/CN108510302A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102236866A (en) * | 2011-08-11 | 2011-11-09 | 王冬梅 | Transaction match control method of transaction server and transaction system |
| US20160239867A1 (en) * | 2015-02-16 | 2016-08-18 | Adobe Systems Incorporated | Online Shopping Cart Analysis |
| CN105844480A (en) * | 2016-03-23 | 2016-08-10 | 上海极鲜网电子商务有限公司 | Raw and fresh food electronic transaction platform |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111160936A (en) * | 2018-11-07 | 2020-05-15 | 广汽菲亚特克莱斯勒汽车销售有限公司 | Automobile sales system |
| CN113469765A (en) * | 2020-03-31 | 2021-10-01 | 珠海优特智厨科技有限公司 | Order information processing method, device, equipment and computer readable storage medium |
| CN113469765B (en) * | 2020-03-31 | 2024-04-05 | 珠海优特智厨科技有限公司 | Order information processing method, device, equipment and computer readable storage medium |
| CN112862560A (en) * | 2021-03-22 | 2021-05-28 | 于淼 | E-commerce transaction platform and device based on Internet of things and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20200195737A1 (en) | Clickstream analysis methods and systems related to determining actionable insights relating to a path to purchase | |
| US9916594B2 (en) | Multidimensional personal behavioral tomography | |
| CN108960992A (en) | A kind of information recommendation method and relevant device | |
| US20090012839A1 (en) | Determining Brand Affiliations | |
| US9710802B2 (en) | Merchant competition alert | |
| Kudyba et al. | Introduction to the big data era | |
| US20110208561A1 (en) | Global receipt card system and method | |
| CN110033331A (en) | A kind of distribution method of discount coupon, system and terminal device | |
| US20170255948A1 (en) | Business to Consumer Enterprise Software System | |
| US20130339118A1 (en) | Bulk purchasing by ad hoc consumer groups | |
| US20150178768A1 (en) | System and method for intermediating electronic commerce using offline transaction information | |
| CN112215448A (en) | Method and device for distributing customer service | |
| KR20230158390A (en) | Method and apparatus for providing online commerce curation service supporting seller customized product registration function | |
| US20210150604A1 (en) | Systems and methods for customization of reviews | |
| Pousttchi et al. | Mobile payment in the smartphone age: extending the mobile payment reference model with non-traditional revenue streams | |
| CN110942392A (en) | Service data processing method, device, equipment and medium | |
| US20180232747A1 (en) | Systems and methods for determining consumer purchasing behavior | |
| CN108510302A (en) | A kind of marketing decision-making method and trading server | |
| CN113298568B (en) | Method and device for advertising | |
| CN111192045A (en) | Anti-cheating method, device and system based on transaction record information | |
| CN109310916B (en) | System and method for resolving conflicts in ordering data products | |
| CN113516496B (en) | Advertisement conversion rate estimation model construction method, device, equipment and medium thereof | |
| US20210150593A1 (en) | Systems and methods for customization of reviews | |
| CN113298550A (en) | Commodity price adjusting method and device and server | |
| CN112131465A (en) | Activity information matching method, device, medium and terminal equipment |
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: 20200206 Address after: 518129 Bantian HUAWEI headquarters office building, Longgang District, Guangdong, Shenzhen Applicant after: HUAWEI TECHNOLOGIES Co.,Ltd. Address before: 210012 HUAWEI Nanjing base, 101 software Avenue, Yuhuatai District, Jiangsu, Nanjing Applicant before: Huawei Technologies Co.,Ltd. |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180907 |