CN111914202B - Multi-platform intelligent automatic publishing method, device, system and terminal - Google Patents
Multi-platform intelligent automatic publishing method, device, system and terminal Download PDFInfo
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Abstract
The embodiment of the invention discloses a method for automatically publishing multiple platforms intelligently, which comprises the following steps: setting respective corresponding product publishing strategy contents, strategy conditions and execution contents; receiving the final product information data, generating public data of the product and a data perfecting table of each transaction platform and displaying; receiving complete public data and platform data of the products, and screening out consistent candidate published products; calling the listing template information corresponding to the trading platform and comprising the product listing strategy content, strategy condition and execution content, and generating automatic listing information data of candidate listing products; and putting the candidate publication products on different shops on the corresponding trading platform based on the automatic publication information data. The embodiment of the invention also discloses a device, a system and a terminal for automatically publishing the multiple platforms intelligently; the automatic re-periodical feeding, automatic price reduction promotion, automatic shelf unloading and automatic price adjustment of the product are realized, and finally, the accurate scientific regulation and control on the Listing is realized.
Description
Technical Field
The invention relates to the technical field of platform publishing. More particularly, the invention relates to a method, a device, a system and a terminal for intelligent automatic publishing of multiple platforms.
Background
The internet has changed people's traditional lifestyle in many fields and directions, providing many convenience for people's life and work. The electronic commerce platform is used as an emerging internet transaction platform, provides great convenience for living and shopping of people, and is a platform for providing online transaction negotiation for enterprises or individuals. The enterprise electronic commerce platform is a virtual network space which is established on the Internet to perform commerce activities and a management environment which ensures the smooth operation of commerce, and is an important place for coordinating, integrating, relating and efficiently flowing information flows, goods flows and fund flows in order. Enterprises and merchants can effectively develop own business activities with low cost by fully utilizing shared resources such as network infrastructure, payment platforms, security platforms, management platforms and the like provided by the electronic commerce platform.
The commodity information is published on the electronic commerce platform as an important link for providing commodity display for consumers. In the technical field of electronic commerce, the functions of the publishing systems existing in the market are basically the same, and the system supports single publishing, batch publishing and re-publishing of partial platforms in multiple stores. The method has the common characteristics that developers are required to inform the products which can be published, the products are manually selected by the personnel to be published, and the operation of publishing is finally realized through communication and communication of multiple departments and multiple personnel. However, the method for publishing the electronic commerce platform has the problems of low quality rate of the selected products, low efficiency of manual publishing of personnel, low product yield and increased communication cost for multi-personnel communication across departments.
Disclosure of Invention
Therefore, how to provide a solution for publishing multiple electronic commerce platforms with intelligent automation, accuracy and safety is a technical problem to be solved in the art.
It is an object of the present invention to solve at least the above problems and to provide at least the advantages to be described later.
The embodiment of the invention at least discloses a method and a device for automatically publishing multiple platforms intelligently; products passing through the ERP terminal can be called to be directly published to a plurality of platforms and stores, and the problem that the product yield is low due to unscientific selection of transaction platforms is solved.
The invention is realized by the following technical scheme:
first aspect of the invention
The first aspect provides a method of multi-platform intelligent automated publishing, in some embodiments, comprising:
setting respective corresponding product publishing strategy contents, strategy conditions and executing contents based on attribute information and platform rule information of each transaction platform;
receiving the final product information data, generating public data of the product and a data perfecting table of each transaction platform according to the classification attribute of the product and based on a preset product information perfecting strategy under the classification;
receiving complete public data and platform data of the product, and comparing and screening out candidate publishing products consistent with the content of the product publishing strategy;
calling the listing template information corresponding to the trading platform and comprising the product listing strategy content, strategy condition and execution content, and generating automatic listing information data of the candidate listing product; and putting the candidate printed products on different shops on the corresponding trading platform based on the automatic printed information data.
In some alternative embodiments, the candidate listing product is put on a different store on the corresponding trading platform based on the automatic listing information data, as follows:
pushing the candidate publication products to a publication queue based on the automatic publication information data;
putting the candidate published products on different stores on the corresponding transaction platforms according to the execution content;
if the periodical is failed to be put on the shelf, a product data modification table is generated and displayed based on the public data of the product and the data improvement tables of the platforms;
and receiving the modified complete public data and each platform data, and updating the public data and each platform data perfecting table.
In some optional embodiments, setting the respective corresponding product publishing policy content, policy condition and execution content based on the attribute information and platform rule information of each transaction platform is:
setting an automatic publishing strategy interface for adding a product publishing management strategy based on the attribute information and platform rule information of each trading platform;
receiving a request for adding a product publication management strategy, and calling the automatic publication strategy interface for display;
and receiving and storing the product publishing strategy content, strategy condition, executing content and strategy executing monitoring strategy of the automatic publishing manager aiming at the trading platform.
In some alternative embodiments, the automatic listing information data of the candidate listing product is generated by calling the listing template information corresponding to the trading platform and including the product listing strategy content, the strategy condition and the execution content, and the automatic listing information data is:
automatically generating the logistics information of the candidate published products based on the address information of the user on the transaction platform and a preset logistics strategy;
calculating to obtain the sales price of the candidate publishing page of the product according to the corresponding calculation relation between the preset product information, transaction platform attribute information and platform rule information and the sales price of the product page;
and calling the listing template information corresponding to the trading platform and comprising the product listing strategy content, the strategy condition and the execution content, and generating automatic listing information data of the candidate listing product according to the product information data, the logistics information and the listing page selling price of the candidate listing product.
In some alternative embodiments, the product publishing policy content includes: the automatic product periodical listing strategy, the automatic product re-listing strategy, the automatic product price adjusting strategy and the automatic product sales promotion strategy.
Second aspect of the invention
A second aspect provides a multi-platform intelligent automated publishing apparatus, in some embodiments, comprising: the system comprises a publishing strategy setting module, a trading platform data perfecting table display module, a candidate publishing product screening module and a product automatic publishing module; wherein,,
the publishing policy setting module is used for setting corresponding product publishing policy contents, policy conditions and execution contents based on the attribute information and platform rule information of each transaction platform;
the transaction platform data perfecting table display module is connected with the publishing strategy setting module, receives the final product information data, generates public data of the product and each transaction platform data perfecting table according to the classification attribute of the product and based on the preset product information perfecting strategy under the classification, and displays the public data and each transaction platform data perfecting table;
the candidate publication product screening module is connected with the transaction platform data perfecting table display module, receives the complete public data and the platform data of the product, and compares and screens out the consistent candidate publication products with the content of the product publication strategy;
the automatic product publishing module is connected with the publishing strategy setting module and the candidate publishing product screening module, and calls publishing template information which corresponds to the trading platform and comprises the product publishing strategy content, strategy condition and execution content, so as to generate automatic publishing information data of the candidate publishing product; and putting the candidate printed products on different shops on the corresponding trading platform based on the automatic printed information data.
In some alternative embodiments, the product automatic publishing module includes: an automatic publication information generation unit, a publication queue listing unit, and a publication failure improvement unit; wherein,,
the automatic listing information generating unit is connected with the listing strategy setting module and the candidate listing product screening module, and calls listing template information corresponding to a trading platform and comprising the product listing strategy content, strategy condition and execution content to generate automatic listing information data of the candidate listing product;
the listing queue loading unit is connected with the automatic listing information generating unit and pushes the candidate listing products to the listing queue based on the automatic listing information data;
putting the candidate published products on different stores on the corresponding transaction platforms according to the execution content;
the publication failure perfecting unit is connected with the publication queue upper frame unit, and if the periodical fails to be put on the upper frame, a product data modification table is generated and displayed based on the public data of the product and the data perfecting tables of the platforms;
and receiving the modified complete public data and each platform data, and updating the public data and each platform data perfecting table.
In some alternative embodiments, the publishing policy setting module includes: the product publishing policy interface display setting unit, the publishing policy interface display unit and the product publishing policy input unit; wherein,,
the product publishing policy interface display setting unit is used for setting an automatic publishing policy interface for adding the product publishing management policy based on the attribute information and the platform rule information of each transaction platform;
the publishing strategy interface display unit is connected with the product publishing strategy interface display setting unit, receives a request for adding a product publishing management strategy, and invokes the automatic publishing strategy interface for display;
and the product publishing strategy input unit is connected with the publishing strategy interface display unit, receives and stores the product publishing strategy content, strategy condition and execution content and strategy execution monitoring strategy of the automatic publishing manager aiming at the transaction platform.
Third aspect of the invention
A third aspect provides a system for multi-platform intelligent automated publication, in some embodiments, the system comprising:
more than or equal to two transaction platforms are used for receiving the automatic listing information data of the candidate listing products and putting the automatic listing information data into corresponding shops; and
at least one multi-platform intelligent auto-publishing device for performing the method according to the first aspect of the invention.
Fourth aspect of the invention
A fourth aspect provides a multi-platform intelligent automated publishing terminal, in some embodiments, at least one application client, wherein,
the application client comprises a multi-platform intelligent automatic publishing device for executing the method described in each embodiment in the first aspect.
The technical effects of the embodiment of the invention at least comprise:
according to the multi-platform intelligent automatic publishing scheme, products are directly and automatically published to a plurality of platforms and stores, and the problem of low product yield caused by unscientific selection is solved; the electronic commerce platform which exists in the market and is expected to be developed by the clients is docked, so that the requirements of different clients on the shelves of different markets are met; automatic publishing solves the problems of low racking efficiency and poor accuracy caused by manual racking of sales personnel; products meeting the strategy conditions are screened out according to the phoenix publishing strategy, automatic re-periodical, automatic price reduction promotion, automatic shelf-setting and automatic price adjustment of the products are realized, and finally, the accurate and scientific regulation and control of Listing are realized.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention.
Drawings
FIG. 1 is a flow chart of an embodiment of a method for intelligent automatic publishing on multiple platforms according to the present invention;
FIG. 2 is a flow chart of a second embodiment of the method for intelligent automatic publishing on multiple platforms according to the present invention;
FIG. 3 is a schematic flow chart of a third embodiment of a method for intelligent automatic publishing on multiple platforms according to the present invention;
FIG. 4 is a flowchart of a fourth embodiment of a method for intelligent automatic publishing on multiple platforms according to the present invention;
FIG. 5 is a schematic diagram of an embodiment of a product data list in the multi-platform intelligent automatic publishing method of the present invention;
FIG. 6 is a schematic diagram of a specific application embodiment for editing and perfecting product information of each platform in the method of intelligent and automatic publishing of multiple platforms according to the present invention;
FIG. 7 is a schematic diagram of a specific application list for editing a listing strategy in the multi-platform intelligent automatic listing method of the present invention;
FIG. 8 is a schematic flow chart of automatic publishing business in the multi-platform intelligent automatic publishing method of the invention;
FIG. 9 is a schematic flow chart of automatic publishing data in the multi-platform intelligent automatic publishing method of the invention;
FIG. 10 is a schematic diagram of a phoenix publishing strategy in the multi-platform intelligent automated publishing method of the present invention;
FIG. 11 is a schematic illustration of a phoenix publishing strategy addition strategy interface in the multi-platform intelligent automatic publishing method of the present invention;
FIG. 12 is a flow chart of the phoenix publishing strategy automatic racking strategy data in the multi-platform intelligent automatic publishing method of the present invention;
FIG. 13 is a flow chart of the data of the automatic price adjustment strategy of the phoenix publishing strategy in the multi-platform intelligent automatic publishing method of the invention;
FIG. 14 is a flow chart of the phoenix publishing strategy automatic re-periodical strategy data in the multi-platform intelligent automatic publishing method of the present invention;
FIG. 15 is a flow chart of the data of the automatic promotion strategy of the phoenix publishing strategy in the multi-platform intelligent automatic publishing method of the invention;
FIG. 16 is a schematic flow chart of automatic sales promotion of a Shoee platform in the method of multi-platform intelligent automatic publishing according to the present invention;
FIG. 17 is a schematic diagram of a product management list interface in the multi-platform intelligent automatic publishing method of the present invention;
FIG. 18 is a schematic diagram illustrating an embodiment of a multi-platform intelligent auto-publishing device according to the present invention;
FIG. 19 is a schematic view of a second embodiment of a multi-platform intelligent auto-publishing device according to the present invention;
FIG. 20 is a schematic view of a third embodiment of a multi-platform intelligent auto-publishing device according to the present invention;
FIG. 21 is a schematic diagram of a system for intelligent automatic publishing on multiple platforms according to an embodiment of the present invention.
Detailed Description
The present invention is described in further detail below with reference to the drawings to enable those skilled in the art to practice the invention by referring to the description.
As shown in fig. 1, in some embodiments, a first aspect provides a flow diagram of a method of multi-platform intelligent auto-publishing, the method being generally performed by a client of an application software, the method comprising:
and step 101, setting respective corresponding product publishing strategy contents, strategy conditions and execution contents based on the attribute information and platform rule information of each transaction platform.
Step 102, receiving the final product information data, generating public data of the product and a data perfecting table of each transaction platform according to the classification attribute of the product and based on a preset product information perfecting strategy under the classification.
The product passing the final examination refers to a product which is well maintained in information such as product description product pictures and the like and is subjected to layer-by-layer examination by personnel such as product development group leader, editing group leader and the like.
And 103, receiving complete public data and platform data of the product, and comparing and screening out candidate publishing products consistent with the content of the product publishing strategy.
Step 104, calling the listing template information corresponding to the trading platform and comprising the product listing strategy content, strategy condition and execution content, and generating automatic listing information data of candidate listing products; and putting the candidate publication products on different shops on the corresponding trading platform based on the automatic publication information data.
In some alternative embodiments, as shown in fig. 2, which is a flow chart of a second method of intelligent automatic publication with multiple platforms, unlike in fig. 1, the method of putting candidate publication products into different shops on the corresponding trading platform based on the automatic publication information data is as follows:
and step 201, pushing the candidate publication products to a publication queue based on the automatic publication information data.
And 202, putting the candidate published products on different shops on the corresponding trading platform according to the execution content.
And 203, if the periodical is failed to be put on the shelf, generating a product data modification table based on the public data of the product and the data improvement tables of the platforms and displaying the product data modification table.
And 204, receiving the modified complete public data and each platform data, and updating the public data and each platform data perfecting table.
In some alternative embodiments, as shown in fig. 3, a flow chart of a third method for intelligent automatic publishing on multiple platforms is shown, and unlike in fig. 1, the policy content, the policy condition and the execution content of each corresponding product publishing are set based on the attribute information and the platform rule information of each transaction platform, and are as follows:
step 301, setting an automatic publishing strategy interface for adding the product publishing management strategy based on the attribute information and the platform rule information of each trading platform.
Step 302, a request for adding a product publication management strategy is received, and an automatic publication strategy interface is called for display.
And 303, receiving and storing the content, the strategy conditions and the execution content of the product publication strategy of the automatic publishing manager for the trading platform, and the strategy execution monitoring strategy.
In some alternative embodiments, as shown in fig. 4, which is a flowchart of a fourth method for intelligent automatic publishing by multiple platforms, unlike in fig. 1, the automatic publishing information data of candidate publishing products is generated by calling the publishing template information corresponding to the trading platform and including the content of the product publishing policy, the policy conditions and the execution content, and is:
and 401, automatically generating the logistics information of candidate published products based on the address information of the user on the transaction platform and a preset logistics strategy.
And step 402, calculating to obtain the sales price of the candidate publication page of the product according to the corresponding calculation relation between the preset product information, the attribute information of the transaction platform and the platform rule information and the sales price of the product page.
And step 403, calling the listing template information corresponding to the trading platform and comprising the product listing strategy content, the strategy condition and the execution content, and generating automatic listing information data of the candidate listing product according to the product information data, the logistics information and the selling price of the listing page of the candidate listing product.
5-17, wherein FIG. 5 is a schematic diagram of one embodiment of a product data list in a multi-platform intelligent automatic publishing method; FIG. 6 is a schematic diagram of a specific application embodiment for editing and perfecting product information of each platform in a multi-platform intelligent automatic publishing method; FIG. 7 is a schematic diagram of a specific application list for editing a listing strategy in a multi-platform intelligent automatic listing method; FIG. 8 is a schematic flow chart of an automatic publishing business in the multi-platform intelligent automatic publishing method; FIG. 9 is a schematic flow chart of automatic publishing data in the method of intelligent automatic publishing in multiple platforms; FIG. 10 is a schematic diagram of a phoenix publishing strategy in a multi-platform intelligent automated publishing method; FIG. 11 is a schematic illustration of a phoenix publishing strategy addition strategy interface in the multi-platform intelligent automatic publishing method; FIG. 12 is a flow chart of the Phoenix publishing strategy automatic racking strategy data in the multi-platform intelligent automatic racking method; FIG. 13 is a flow chart of the Phoenix publishing strategy automatic price adjustment strategy data in the multi-platform intelligent automatic publishing method; FIG. 14 is a flow chart of the phoenix publishing strategy auto-reclassification strategy data in the multi-platform intelligent auto-publishing method; FIG. 15 is a flow chart of the Phoenix publishing strategy automatic promotion strategy data in the multiple platform intelligent automatic publishing method; FIG. 16 is a schematic flow chart of a method for automatically promoting a Shoee platform in a multi-platform intelligent automatic publishing method; FIG. 17 is a schematic diagram of a product management listing interface in a multi-platform intelligent automated publishing method.
Description of business processes:
1. product data list: and synchronously and automatically publishing all final-passed products of the ERP system, editing product maintenance product information, calling the maintained product information when the ERP system is automatically periodical, and uploading the product information without maintaining the product information when the ERP system is automatically periodical, wherein the system defaults to fill items and other information is empty.
The product information includes: product SKU, custom SKU, parent ID, update person, creation time/update time, on-shelf platform, product status, product infringement risk, off-shelf platform, logistics attributes, strong electricity plug, product classification, batch starting, inventory information, purchase price, etc.
2. Template management: the maintained template information is automatically called for publishing when the automatic periodical is performed, for example, templates maintained in the intelligent publishing system are called when Allegro and JdId are put on shelf. Quick sales automatic publishing can call an operation template maintained by ERP; the Wish automatic publishing meeting calls a freight template maintained in the ERP; ebay auto-periodicals call the business policy template for the corresponding source channel maintained in ERP.
3. Automatic publishing strategies: and setting different automatic publishing strategies for each trading platform, and automatically publishing products meeting the strategy conditions to corresponding channels according to the set strategy rules. And adding and managing the strategy and monitoring the strategy execution condition by the automatic publishing responsible person on the automatic publishing strategy interface. The system screens out products meeting the conditions according to the strategy set by the responsible person and automatically and regularly publishing the products to shops of all large platforms.
How the intelligent publishing system realizes the automatic racking, improves the racking efficiency, and comprises the following aspects:
(1) The class systems of all the platforms are automatically preset, and the platforms are put on shelf according to preset classes when the user logs in the periodical system automatically. The classification attribute sets default in advance, and the on-shelf basic data is prepared in advance.
(2) Through template configuration, preset template information publication is automatically invoked during automatic periodical, the integrity of publication Listing data is ensured, and logistics are set according to store addresses and user addresses.
(3) According to the ERP calculator, the Listing selling price is automatically calculated.
(4) When different platforms are automatically put on shelf, product pictures are randomly acquired, and account association is prevented.
(5) And (3) docking ERP to generate UPC and channel SKU logic, putting the UPC and the channel SKU logic into different shops, automatically generating channel SKUs according to channel SKU rules maintained by the ERP, and automatically calling the uploaded UPC in the ERP when putting the UPC into the shelf.
(6) The automatic publishing strategy condition has rich content, meets the requirements of different sales, comprises three parts of strategy content, strategy condition and execution content, and only needs strategy setting for sales, and the system automatically screens and puts on shelf suitable products. The strategy content comprises the following steps: policy name, SKU source, publishing channel; the policy conditions comprise basic information and Listing information of the product; the execution content comprises: setting timing publishing time, and fixing the number, brand, price, marketable number and the like of uploaded products per hour.
4. Phoenix planning strategy: the policy types comprise re-publishing, automatic putting down, automatic price adjustment and automatic promotion, different policies are added for each platform according to platform logic, and products meeting policy conditions are re-periodical, put down, price adjustment or promotion according to set policy rules.
5. Publication queue management: all automatically published products enter a publishing queue and wait for service execution to be put on shelf to a corresponding platform.
And 6, listing management: and checking the Listing of different platforms on a Listing management interface, wherein the Listing states are not distinguished, and the lower frame also supports checking.
The minimum execution unit is: channel SKUs, i.e., one channel SKU binds one off-shelf strategy, each channel SKU only executes one strategy at a time; when a channel SKU satisfies 2 or more different policies at the same time, executing a policy, and the policy has priority: automatic putting off the shelf, automatic sales promotion, automatic price adjustment and re-publishing; when a channel SKU satisfies 2 and more identical policies at the same time, only one latest setting policy is executed. When a part of variants meets the condition, the variants are put off-shelf only, namely the marketable number is modified to 0. When all SKUs of the monomer or the polytype meet the conditions, the whole strip of Listing is subjected to the off-frame treatment.
As a specific illustration, different platform phoenix planning strategy support strategy types are as follows:
the business effect of the method for automatically publishing the multiple platforms intelligently is shown as follows:
statistics is carried out according to the actual on-line data of the off-line clients, and 1) the on-line power is set up: the power of the new product is up to more than 90% after 48 hours. 2) And (5) loading coverage rate: product coverage rate up to 98% was counted according to the off-line data. And (3) injection: the shelf coverage rate refers to whether the product passing the final inspection is shelf-mounted to the corresponding platform according to the automatic publishing strategy within 7 days. 3) Product warehouse 90 days single rate: the order taking rate is kept at 50%, and the order taking rate in part of months reaches 60%.
The performance effect of the method for automatically publishing the multiple platforms intelligently is shown as follows:
1) User page average response time: less than 3 seconds (with interface request time, front end rendering time);
2) Page request concurrency amount: 300 users 100tps;
3) Whether or not to support client auto-extension: is;
4) Whether peak elastic capacity expansion/load balancing is supported: is;
5) Whether or not to input proprietary data: is;
6) Whether to output the result data: is;
7) Customer maximum total data: ES: 50W/day; mySQL: 20W/day/user; basic data volume: 200W;
8) Data degradation time limit (optional): years of life;
9) Data degradation mode: archiving/partial function library separation requests;
10 Functional classification): functional/platform interactive;
11 Single service (request) maximum data throughput: 5000;
12 Lot size requirements: automatic batch production;
13 Data real-time requirements: updating at regular time;
14 Performance bottleneck: data throughput/platform interface;
15 Frequency of execution: 30 minutes/time, satisfying the condition execution.
The technical effects of the method for automatically publishing the multiple platforms intelligently are as follows:
technical index description references (which may be appended or cropped according to item characteristics),
1) Whether multilingual (must fill) is supported: is;
2) Whether SAAS (must be filled) is supported: is;
3) Whether peak elastic capacity expansion/load balancing (padding) is supported: is;
4) Whether to support a cold and hot data separation and archiving scheme (necessary filling): is;
5) Whether network security (encryption and protocol of API) is supported (must fill): is;
6) Whether data security (data encryption) is supported (optional padding): is;
7) Whether system performance monitoring is supported or not, abnormality monitoring alarm (necessary filling): is;
8) And (3) data architecture: how the storage, migration and expansion schemes support the storage, migration and expansion schemes for the large-scale data volume (the item is necessary to be filled when the item 4 is selected or not);
9) Infrastructure investment: when a client having conditions uses the system in its entirety, the client requires infrastructure (server, database);
the Web end: the orecloud container service Kubernetes edition;
operating system: linux;
and (3) a browser: a Chrome;
net environment: NET Standard 2, & NET Core 3.1;
database: cloud database POLARDB.
Collecting classification information of each large platform, and achieving the purposes of: different products need to be put on different platforms to provide different put information, and the information is determined by the classification of each large platform, such as clothing classification from the upper shelf to the united states station, and then brands, materials, sizes and the like are correspondingly provided; if the electronic classification, such as a computer, is put on shelf, various information such as whether the computer is electrified, a CPU, a memory and the like is provided.
The program language codes written by the requestors tool in the Python programming language simulate the browser to normally request the classified data interface, so that classified data returned by the interface are obtained, and then the classified data are stored in a database; simply speaking, the corresponding platform classification is obtained by using the technical means through the keywords maintained in the product information; for example, the keywords are clothes, and clothes classifications of different sites of different platforms are found.
Product management list is removed through automatic publishing of strategy conditions, and products meeting the conditions are found; after the product is found, the template configuration information is combined, an interface of the product is created through each large platform, and the product is automatically uploaded to each large platform through the queue service.
In some alternative embodiments, as shown in fig. 18, a schematic structural diagram of an embodiment of a device 1800 for multi-platform smart auto-publishing may be used to implement the method for multi-platform smart auto-publishing described above. The device comprises: the system comprises a listing strategy setting module 1801, a trading platform data perfecting table showing module 1802, a candidate listing product screening module 1803 and a product automatic listing module 1804.
The listing policy setting module 1801 sets respective corresponding product listing policy contents, policy conditions and execution contents based on attribute information and platform rule information of each transaction platform.
The transaction platform data perfecting table display module 1802 is connected with the publishing policy setting module 1801, receives the final product information data, generates public data of the product and each transaction platform data perfecting table according to the classification attribute of the product and based on the preset product information perfecting policy under the classification, and displays the public data and each transaction platform data perfecting table.
The candidate publication product screening module 1803 is connected with the transaction platform data perfecting table display module 1802, receives the complete public data and the platform data of the products, and screens out the candidate publication products consistent with the content of the product publication policy.
The automatic product publishing module 1804 is connected with the publishing policy setting module 1801 and the candidate publishing product screening module 1803, and calls the publishing template information corresponding to the trading platform and comprising the product publishing policy content, the policy condition and the execution content, so as to generate automatic publishing information data of the candidate publishing product. And putting the candidate publication products on different shops on the corresponding trading platform based on the automatic publication information data.
In some alternative embodiments, as shown in FIG. 19, which is a schematic structural diagram of another embodiment of a multi-platform intelligent automatic publishing device 1900, unlike in FIG. 18, the product automatic publishing module 1804 includes: an automatic publication information generation unit 1841, a publication queue listing unit 1842, and a publication failure improvement unit 1843.
The automatic listing information generating unit 1841 is connected to the listing policy setting module 1801 and the candidate listing product screening module 1803, and invokes the listing template information including the product listing policy content, the policy condition and the execution content corresponding to the trading platform, so as to generate the automatic listing information data of the candidate listing product.
The listing queue loading unit 1842 is connected to the automatic listing information generating unit 1841, and pushes candidate listing products to the listing queue based on the automatic listing information data. And putting the candidate published products on different shops on the corresponding trading platform according to the execution content.
And a listing failure perfecting unit 1843 connected with the listing queue up-setting unit 1842, for generating and displaying a product data modification table based on the public data of the product and the data perfecting table of each platform if the periodical is failed to be put on the shelf. And receiving the modified complete public data and each platform data, and updating the public data and each platform data perfecting table.
In some alternative embodiments, as shown in fig. 20, which is a schematic structural diagram of an embodiment of yet another multi-platform intelligent automatic publishing device 2000, unlike in fig. 18, the publishing policy setting module 1801 includes: the product publishing policy interface display setting unit 1811, the publishing policy interface display unit 1812 and the product publishing policy input unit 1813.
Wherein, the product listing policy interface display setting unit 1811 sets an automatic listing policy interface to which the product listing management policy is added based on the attribute information and the platform rule information of each trading platform.
And a listing strategy interface display unit 1812 connected with the product listing strategy interface display setting unit 1811, for receiving a request for adding the product listing management strategy, and calling the automatic listing strategy interface for display.
And a product publishing policy input unit 1813 connected with the publishing policy interface display unit 1812 for receiving and storing the content, the policy condition, the execution content and the policy execution monitoring policy of the product publishing policy of the automatic publishing manager aiming at the trading platform.
In some alternative embodiments, as shown in fig. 21, a schematic structural diagram of one embodiment of a system 2100 for multi-platform smart auto-publishing, comprising: more than or equal to two transaction platforms 2101 for receiving automatic listing information data of candidate listing products and putting the data into corresponding shops; and at least one multi-platform intelligent auto-publishing device 2102 for performing the multi-platform intelligent auto-publishing method.
In some alternative embodiments, there is also provided a software terminal, in some embodiments, comprising: at least one software client, wherein,
the software client comprises a multi-platform intelligent automatic publishing device which is used for the method of each embodiment.
In some alternative embodiments, an electronic device is also provided, in some embodiments, the electronic device comprising at least one processor and at least one storage medium;
wherein the storage medium has stored therein instructions for performing the methods of the above embodiments, and the processor is configured to execute the instructions.
Herein, the term "Listing" means a product detail page, typically containing 6 major elements, namely: product titles, product pictures, main functions and characteristics of products, product descriptions, product comments and product ratings, such as a Taobao product detail page, an e-commerce product page displays the product pictures, product prices, product names and the like just like a previous mail order letter, and Listing can be generally divided into a commodity search result page and a commodity detail page, wherein the commodity search result page determines the click rate of a commodity and consists of main factors such as a master graph, a title, a price and the like, the commodity detail page is a page clicked by a user and then is used for determining the conversion rate of the commodity and consists of a commodity picture(s), the title, the description, the product description, an associated advertisement and the like.
Although embodiments of the present invention have been disclosed above, it is not limited to the details and embodiments shown and described, it is well suited to various fields of use for which the invention would be readily apparent to those skilled in the art, and accordingly, the invention is not limited to the specific details and illustrations shown and described herein, without departing from the general concepts defined in the claims and their equivalents.
Claims (8)
1. The method for automatically publishing the multiple platforms intelligently is characterized by comprising the following steps:
setting respective corresponding product publishing strategy contents, strategy conditions and execution contents based on attribute information and platform rule information of each transaction platform, wherein each transaction platform is different and is a network transaction platform;
receiving information data of a product passing the final examination, and generating public data of the product and a data perfecting table of each transaction platform according to a classification attribute of the product and a preset product information perfecting strategy under the classification, wherein the product passing the final examination refers to a product of which product description information and product picture information pass the examination of a product development group leader, an editing group leader and a picture group leader, and the information data of the product comprises a product SKU, a custom SKU, a parent ID, a latest updater, creation time/update time, an on-shelf platform, a product state, a product infringement risk, a forbidden platform, a logistics attribute, a strong current plug, product classification, batch starting, inventory information and purchase price;
receiving complete public data and platform data of the product, and comparing and screening out candidate publishing products consistent with the content of the product publishing strategy;
calling the listing template information corresponding to the trading platform and comprising the product listing strategy content, strategy condition and execution content, and generating automatic listing information data of the candidate listing product; acquiring a category corresponding to a trading platform, and putting the candidate printed products into different shops on the corresponding trading platform based on the automatic printed information data and the category so as to meet the putting requirements of different clients on different markets; when the candidate publishing products are put on shelves in different shops on the corresponding trading platform, randomly acquiring product pictures and uploading the product pictures;
acquiring a category corresponding to the transaction platform, and putting the candidate publication product into different shops on the corresponding transaction platform based on the automatic publication information data and the category, wherein the method comprises the following steps of: acquiring a category corresponding to the trading platform, and pushing the candidate listing products to a listing queue based on the automatic listing information data and the category; putting the candidate published products on different stores on the corresponding transaction platforms according to the execution content; if the periodical is failed to be put on the shelf, a product data modification table is generated and displayed based on the public data of the product and the data improvement tables of the platforms; and receiving the modified complete public data and each platform data, and updating the public data and each platform data perfecting table.
2. The method for automatically publishing multiple platforms intelligently according to claim 1, wherein the setting of the respective corresponding product publishing policy contents, policy conditions and execution contents based on the attribute information and platform rule information of each transaction platform is:
setting an automatic publishing strategy interface for adding a product publishing management strategy based on the attribute information and platform rule information of each trading platform;
receiving a request for adding a product publication management strategy, and calling the automatic publication strategy interface for display;
and receiving and storing the product publishing strategy content, strategy condition, executing content and strategy executing monitoring strategy of the automatic publishing manager aiming at the trading platform.
3. The method for automatically and intelligently publishing a plurality of platforms according to claim 1, wherein the automatic publishing information data of the candidate publishing products is generated by calling the publishing template information corresponding to the trading platform and comprising the product publishing strategy content, strategy condition and execution content, and is as follows:
automatically generating the logistics information of the candidate published products based on the address information of the user on the transaction platform and a preset logistics strategy;
calculating to obtain the sales price of the candidate publishing page of the product according to the corresponding calculation relation between the preset product information, transaction platform attribute information and platform rule information and the sales price of the product page;
and calling the listing template information corresponding to the trading platform and comprising the product listing strategy content, the strategy condition and the execution content, and generating automatic listing information data of the candidate listing product according to the product information data, the logistics information and the listing page selling price of the candidate listing product.
4. A method for intelligent automatic publishing of multiple platforms as defined in claim 1 wherein said product publishing policy content comprises: the automatic product periodical listing strategy, the automatic product re-listing strategy, the automatic product price adjusting strategy and the automatic product sales promotion strategy.
5. The utility model provides a device is published to multi-platform intelligence automation which characterized in that includes: the system comprises a publishing strategy setting module, a trading platform data perfecting table display module, a candidate publishing product screening module and a product automatic publishing module, wherein each trading platform is different and is a network trading platform; wherein,,
the publishing policy setting module is used for setting corresponding product publishing policy contents, policy conditions and execution contents based on the attribute information and platform rule information of each transaction platform;
the transaction platform data perfecting table display module is connected with the publishing policy setting module, receives final-trial product information data, generates public data of the product and each transaction platform data perfecting table according to the classification attribute of the product and based on a preset product information perfecting policy under the classification, wherein the final-trial product refers to a product of which product description information and product picture information pass through product development group, editing group and picture group auditing, and the information data of the product comprises a product SKU, a custom SKU, a parent ID, a latest updater, creation time/update time, an on-shelf platform, a product state, a product infringement risk, a forbidden platform, logistics attributes, a strong current plug, product classification, batch starting, inventory information and purchasing price;
the candidate publication product screening module is connected with the transaction platform data perfecting table display module, receives the complete public data and the platform data of the product, and compares and screens out the consistent candidate publication products with the content of the product publication strategy;
the automatic product publishing module is connected with the publishing strategy setting module and the candidate publishing product screening module, and calls publishing template information which corresponds to the trading platform and comprises the product publishing strategy content, strategy condition and execution content, so as to generate automatic publishing information data of the candidate publishing product; acquiring a category corresponding to a trading platform, and putting the candidate printed products into different shops on the corresponding trading platform based on the automatic printed information data and the category so as to meet the putting requirements of different clients on different markets; when the candidate publishing products are put on shelves in different shops on the corresponding trading platform, randomly acquiring product pictures and uploading the product pictures;
the automatic product publishing module comprises: an automatic publication information generation unit, a publication queue listing unit, and a publication failure improvement unit; the automatic listing information generation unit is connected with the listing strategy setting module and the candidate listing product screening module, and calls listing template information corresponding to a trading platform and comprising the product listing strategy content, strategy condition and execution content to generate automatic listing information data of the candidate listing product; the listing queue loading unit is connected with the automatic listing information generating unit, acquires a category corresponding to a transaction platform, and pushes the candidate listing products to the listing queue based on the automatic listing information data and the category; putting the candidate published products on different stores on the corresponding transaction platforms according to the execution content; the publication failure perfecting unit is connected with the publication queue upper frame unit, and if the periodical fails to be put on the upper frame, a product data modification table is generated and displayed based on the public data of the product and the data perfecting tables of the platforms; and receiving the modified complete public data and each platform data, and updating the public data and each platform data perfecting table.
6. The multi-platform intelligent automatic publishing device according to claim 5, wherein the publishing policy setting module comprises: the product publishing policy interface display setting unit, the publishing policy interface display unit and the product publishing policy input unit; wherein,,
the product publishing policy interface display setting unit is used for setting an automatic publishing policy interface for adding the product publishing management policy based on the attribute information and the platform rule information of each transaction platform;
the publishing strategy interface display unit is connected with the product publishing strategy interface display setting unit, receives a request for adding a product publishing management strategy, and invokes the automatic publishing strategy interface for display;
and the product publishing strategy input unit is connected with the publishing strategy interface display unit, receives and stores the product publishing strategy content, strategy condition and execution content and strategy execution monitoring strategy of the automatic publishing manager aiming at the transaction platform.
7. A system for intelligent automatic publishing of multiple platforms, comprising:
more than or equal to two transaction platforms are used for receiving the automatic listing information data of the candidate listing products and putting the automatic listing information data into corresponding shops; and
at least one multi-platform intelligent auto-publishing device for performing the method of any of claims 1-4.
8. A terminal, comprising: at least one application client, wherein,
the application client comprises a multi-platform intelligent auto-publishing device for performing the method of any of claims 1-4.
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