CN110766514A - Optimal goods source screening method and device for e-commerce platform - Google Patents
Optimal goods source screening method and device for e-commerce platform Download PDFInfo
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Abstract
The invention discloses an optimal goods source screening method and device for an e-commerce platform, relates to the technical field of computers, and can help the e-commerce platform to flexibly screen out an optimal goods supply and goods source. The method comprises the following steps: presetting comparison logic, wherein the comparison logic comprises a plurality of comparison factors; verifying the integrity and online compliance of the commodity main data, and screening out commodities which pass the verification and have surplus stock to obtain effective source data; and screening the commodities in the effective source data through a plurality of comparison factors to obtain the optimal commodity source corresponding to each commodity. The device is applied with the method provided by the scheme.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an optimal goods source screening method and device for an e-commerce platform.
Background
The selection of a proper goods source is very important for the e-commerce platform, so that the stability of a supply chain can be ensured, and the profit margin of the e-commerce platform can be improved. The existing goods source screening scheme is single, for example, the goods sources are only screened from a single dimension such as price or storage age, and the goods source screening scheme is not flexible enough and cannot achieve the maximization of platform benefits.
Disclosure of Invention
The invention aims to provide an optimal goods source screening method and device for an e-commerce platform, which can help the e-commerce platform to flexibly screen out an optimal goods supply and goods source.
In order to achieve the above object, an aspect of the present invention provides an optimal source screening method for an e-commerce platform, including:
presetting comparison logic, wherein the comparison logic comprises a plurality of comparison factors;
verifying the integrity and online compliance of the commodity main data, and screening out commodities which pass the verification and have surplus stock to obtain effective source data;
and screening the commodities in the effective source data through a plurality of comparison factors to obtain the optimal commodity source corresponding to each commodity.
Illustratively, the comparison factor includes one or more of a delivery style, a selling price, a spot/quasi-spot, a stock age, a stock available date, and a reserve price.
Preferably, the method for verifying the integrity and online compliance of the commodity main data and screening out the commodities which pass the verification and have surplus inventory to obtain the valid source data comprises the following steps:
verifying the integrity of the main data of each commodity, and filtering out commodities with incomplete main data;
detecting the compliance of the online commodities, and filtering out non-compliant commodities;
counting the stock of the commodities, and filtering out the commodities with the stock less than a threshold value;
and screening out the commodities retained by the filtering condition, and acquiring the main data and the corresponding comparison factor of the commodities to obtain effective source data.
Preferably, the method for screening the commodities in the effective source data through a plurality of comparison factors to obtain the optimal commodity source corresponding to each commodity comprises the following steps:
identifying the distribution conditions of each commodity in the effective source data, and preferentially screening out the commodity sources distributed by the platform;
judging whether the commodity source which accords with the platform distribution is unique or not, if so, regarding the corresponding commodity source as an optimal source, and if not, continuing the following judgment;
comparing the selling prices of the goods sources in the same commodity and judging whether the goods source with the lowest selling price is unique or not, if so, regarding the goods source with the lowest selling price in the corresponding commodity as an optimal goods source, and if not, continuing the following judgment;
comparing the storage ages in the same commodity and judging whether the goods source with the largest storage age is unique or not, if so, regarding the goods source with the largest storage age in the corresponding commodity as an optimal goods source, and if not, continuing the following judgment;
comparing whether the same commodity belongs to spot goods or quasi-spot goods, preferably selecting the goods source which meets the inventory available date earliest and judging whether the goods source is unique, if so, regarding the goods source which meets the inventory available date earliest in the corresponding commodity as the optimal goods source, and if not, continuing the following judgment;
comparing the bottom prices of the goods sources of the same goods and judging whether the goods source with the lowest bottom price is unique or not, if so, regarding the goods source with the lowest bottom price in the corresponding goods as an optimal goods source, and if not, continuing the following operation;
and selecting any goods source in the same goods from the goods sources which are kept according with the screening conditions as the optimal goods source of the goods.
Further, after the judgment condition of comparing the source base prices of the same commodities and judging whether the source with the lowest base price is unique or not, the method further comprises the following steps:
adding a customization judging condition, wherein the customization judging condition comprises a latest judging condition of a delivery place;
comparing the delivery place distances of the goods sources of the same commodity and judging whether the goods source of the closest delivery place distance is unique, if so, taking the goods source of the closest delivery place distance in the corresponding commodity as the optimal goods source, and if not, continuing the following operation.
Compared with the prior art, the optimal goods source screening method for the E-commerce platform has the following beneficial effects:
the optimal goods source screening method for the e-commerce platform comprises the steps of firstly setting a comparison logic comprising a plurality of comparison factors, then carrying out integrity check on main data of each commodity, wherein the main data comprises commodity information data, major and minor attribute data and product level data, the product level data comprises affiliated department data, affiliated brand data, affiliated category data and the like, so as to filter out commodities with incomplete main data, then continuously checking online compliance of the remaining commodities in order to filter out commodities which are not allowed to be sold online, such as blacklist commodities, then screening out commodities with surplus inventory based on supply chain logic of the commodities to obtain effective source data, then filtering and screening the commodities in the effective source data through the plurality of comparison factors in sequence, and finally outputting the optimal goods source corresponding to each commodity.
Therefore, the method can be used for screening the commodity sources based on multiple dimensions, and can replace manual work to realize automatic screening operation of the optimal commodity sources under the support of commodity data and comparison factors.
Another aspect of the present invention provides an optimal source screening apparatus for an e-commerce platform, to which the above-mentioned optimal source screening method for an e-commerce platform is applied, the apparatus including:
the device comprises a setting unit, a comparison unit and a comparison unit, wherein the setting unit is used for presetting comparison logic which comprises a plurality of comparison factors;
the filtering and screening unit is used for verifying the integrity and online compliance of the commodity main data and screening out commodities which pass the verification and have surplus stock to obtain effective source data;
and the output unit is used for screening the commodities in the effective source data through a plurality of comparison factors to obtain the optimal goods source corresponding to each commodity.
Preferably, the filtering and screening unit comprises:
the verification module is used for verifying the integrity of the main data of each commodity and filtering out commodities with incomplete main data;
the detection module is used for detecting the online compliance of the commodities and filtering out non-compliant commodities;
the counting module is used for counting the stock of the commodities and filtering out the commodities of which the stock is less than a threshold value; (ii) a
And the screening module is used for screening the commodities reserved by the filtering conditions, and acquiring the main data and the corresponding comparison factors to obtain effective source data.
Preferably, the output unit executes a judgment logic including:
identifying the distribution conditions of each commodity in the effective source data, and preferentially screening out the commodity sources distributed by the platform;
judging whether the commodity source which accords with the platform distribution is unique or not, if so, regarding the corresponding commodity source as an optimal source, and if not, continuing the following judgment;
comparing the selling prices of the goods sources in the same commodity and judging whether the goods source with the lowest selling price is unique or not, if so, regarding the goods source with the lowest selling price in the corresponding commodity as an optimal goods source, and if not, continuing the following judgment;
comparing the storage ages in the same commodity and judging whether the goods source with the largest storage age is unique or not, if so, regarding the goods source with the largest storage age in the corresponding commodity as an optimal goods source, and if not, continuing the following judgment;
comparing whether the same commodity belongs to spot goods or quasi-spot goods, preferably selecting the goods source which meets the inventory available date earliest and judging whether the goods source is unique, if so, regarding the goods source which meets the inventory available date earliest in the corresponding commodity as the optimal goods source, and if not, continuing the following judgment;
comparing the bottom prices of the goods sources of the same goods and judging whether the goods source with the lowest bottom price is unique or not, if so, regarding the goods source with the lowest bottom price in the corresponding goods as an optimal goods source, and if not, continuing the following operation;
and selecting any goods source in the same goods from the goods sources which are kept according with the screening conditions as the optimal goods source of the goods.
Further, the output unit executes the judgment logic further comprising:
adding a customization judging condition, wherein the customization judging condition comprises a latest judging condition of a delivery place;
comparing the delivery place distances of the goods sources of the same commodity and judging whether the goods source of the closest delivery place distance is unique, if so, taking the goods source of the closest delivery place distance in the corresponding commodity as the optimal goods source, and if not, continuing the following operation.
Compared with the prior art, the optimal goods source screening device for the e-commerce platform has the same beneficial effects as the optimal goods source screening method for the e-commerce platform provided by the technical scheme, and the detailed description is omitted here.
A third aspect of the present invention provides a computer-readable storage medium, on which a computer program is stored, the computer program, when being executed by a processor, performing the steps of the above-mentioned method for screening an optimal source for an e-commerce platform.
Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the invention are the same as the beneficial effects of the optimal goods source screening method for the e-commerce platform provided by the technical scheme, and the detailed description is omitted here.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic flow chart illustrating a method for screening an optimal source of goods for an e-commerce platform according to an embodiment;
FIG. 2 is a schematic flow chart illustrating a process of screening valid source data according to a first embodiment;
FIG. 3 is a schematic flow chart of the method for screening the optimal cargo source according to the first embodiment.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1, the present embodiment provides a method for screening an optimal cargo source for an e-commerce platform, including:
presetting comparison logic, wherein the comparison logic comprises a plurality of comparison factors; verifying the integrity and online compliance of the commodity main data, and screening out commodities which pass the verification and have surplus stock to obtain effective source data; and screening the commodities in the effective source data through a plurality of comparison factors to obtain the optimal commodity source corresponding to each commodity.
In the optimal goods source screening method for the e-commerce platform provided by the embodiment, firstly, a comparison logic comprising a plurality of comparison factors is set, then integrity verification is carried out on main data of each commodity, wherein the main data comprises commodity information data, major-subordinate attribute data and product level data, the product level data comprises affiliated business department data, affiliated brand data, affiliated category data and the like, so that commodities with incomplete main data are filtered out, online compliance of the remaining commodities is continuously verified in the commodities, so that commodities which are not allowed to be sold online are filtered out, such as blacklist commodities, remaining commodities are screened out based on supply chain logic of the commodities to obtain effective source data, then the commodities in the effective source data are filtered and screened through the plurality of comparison factors in sequence, and finally, the optimal goods source corresponding to each commodity is output.
Therefore, the commodity source screening method and the commodity source screening device can screen the commodity source based on multiple dimensions, and can replace manual work to achieve automatic screening operation of the optimal commodity source under the support of commodity data and comparison factors.
Illustratively, the comparison factor includes one or more of a delivery method, a selling price, a spot/quasi-spot, a storage age, a stock available date, and a reserve price.
Specifically, the method for checking the integrity and online compliance of the main data of the commodity and screening the commodities which pass the checking and have surplus inventory to obtain the valid source data in the above embodiment includes:
verifying the integrity of the main data of each commodity, and filtering out commodities with incomplete main data; detecting the compliance of the online commodities, and filtering out non-compliant commodities; counting the stock of the commodities, and filtering out the commodities with the stock less than a threshold value; and screening out the commodities retained by the filtering condition, and acquiring the main data and the corresponding comparison factor of the commodities to obtain effective source data.
Referring to fig. 2, in a specific implementation, the commodities with inventory amounts less than the threshold are filtered, when the threshold is equal to zero, it is indicated that commodities with inventory no goods are filtered, and comparison factor data of the reserved commodities, including spot/quasi-spot, earliest available date of inventory and delivery mode, are obtained.
Specifically, in the above embodiment, the method for screening the commodities in the effective source data by using the plurality of comparison factors to obtain the optimal commodity source corresponding to each commodity includes:
identifying the distribution conditions of each commodity in the effective source data, and preferentially screening out the commodity sources distributed by the platform; judging whether the commodity source which accords with the platform distribution is unique or not, if so, regarding the corresponding commodity source as an optimal source, and if not, continuing the following judgment; comparing the selling prices of the goods sources in the same commodity and judging whether the goods source with the lowest selling price is unique or not, if so, regarding the goods source with the lowest selling price in the corresponding commodity as an optimal goods source, and if not, continuing the following judgment; comparing the storage ages in the same commodity and judging whether the goods source with the largest storage age is unique or not, if so, regarding the goods source with the largest storage age in the corresponding commodity as an optimal goods source, and if not, continuing the following judgment; comparing whether the same commodity belongs to spot goods or quasi-spot goods, preferably selecting the goods source which meets the inventory available date earliest and judging whether the goods source is unique, if so, regarding the goods source which meets the inventory available date earliest in the corresponding commodity as the optimal goods source, and if not, continuing the following judgment; comparing the bottom prices of the goods sources of the same goods and judging whether the goods source with the lowest bottom price is unique or not, if so, regarding the goods source with the lowest bottom price in the corresponding goods as an optimal goods source, and if not, continuing the following operation; and selecting any goods source in the same goods from the goods sources which are kept according with the screening conditions as the optimal goods source of the goods.
Preferably, after the judging condition of comparing the source base prices of the same goods and judging whether the source with the lowest base price is unique or not, the method further comprises:
adding a customized judgment condition, wherein the customized judgment condition comprises a latest judgment condition of a delivery place; comparing the delivery place distances of the goods sources of the same commodity and judging whether the goods source of the closest delivery place distance is unique, if so, taking the goods source of the closest delivery place distance in the corresponding commodity as the optimal goods source, and if not, continuing the following operation.
In specific implementation, please refer to fig. 3, after obtaining effective source data, the warehouse-out mode of the goods is compared first, the source of the goods in the warehouse of the same goods is preferentially selected, if the source of the goods in the warehouse of the department has no goods, then the source of the goods directly delivered by the manufacturer is considered, namely, whether the source of the goods according with the platform delivery is unique is judged, if the source of the goods delivered by the platform is unique, the unique source of the goods is considered as the optimal source of the goods, if the source of the goods delivered by the platform is not unique, the selling prices of the sources in the same goods are continuously compared, the source with the lowest selling price is preferentially selected, and the source with the lowest selling price is judged as the optimal source of the goods, if the source with the lowest selling price in the corresponding goods is considered as the optimal source of the goods, and in order to reduce logistics cost and improve goods turnover efficiency, the source of the warehouse is required to be preferentially selected out first, namely, the source of the largest library age in the same goods is considered as the optimal, for example, the warehousing and distribution cost of the goods, so the spot goods need to be considered firstly, the in-transit quasi-spot goods need to be considered secondly, and after the screening by using the comparison factor, the comparison factor in the aspect of company interests needs to be considered, namely, the base prices of different goods sources of the same goods are compared, so that the goods source with low base price is used as the optimal goods source. If the screening is finished, the same commodity is also correspondingly provided with a plurality of goods sources, at the moment, the platform can select one of the goods sources as the optimal goods source of the commodity through optional logic, and if the platform further wants to continue screening, other comparison factors can be customized to continue screening until the optimal goods source which best meets the benefits of the platform and consumers is screened.
In summary, by adopting the optimal goods source screening method for the e-commerce platform provided by the embodiment, the following effects can be achieved:
distribution mode priority: preferentially and first, the goods source which is delivered by the department of the company is delivered, the rights and interests of the department of the company and the best receiving experience of the customers are preferentially ensured, and the goods source which is directly delivered by the supplier is delivered under the condition that the goods source of the department of the company is out of stock, so that the diversity of the platform of the company is realized;
the optimal source screening process of each commodity comprehensively considers a plurality of contrast factors, so that the customer experience is improved, such as the priority of low-selling-price people, the priority of spot goods and the source which meets the inventory available date at the earliest, the logistics cost is reduced, the source turnover is improved, such as the priority of the source with the largest storage age, and the company income is considered integrally, such as the priority of the source with lower base price;
through the comparison of the age (the time length in the warehouse) of the goods source, the turnover speed of the inventory in a certain period is improved, and the performance index of the overall efficiency of the supply chain of the department of China is ensured.
In addition, the optimal goods source screening method for the e-commerce platform provided by the embodiment adopts the following technical framework: the system comprises a MySql database, a Redis cache, a distributed task scheduling platform, a WINDQ message distribution tool, a KAFKA data pushing tool and a WildFly application server, and autonomously realizes a hundred million level most active data distributed computing scheduling mechanism.
The method comprises the following steps: in order to realize distributed calculation of hundred million level data, business data including commodity main data, shelving and shelving data, price data, inventory data and optimal source data are subjected to fragmentation processing according to three bits after commodity coding by a MySql database and table dividing technology, for example, the business data are divided into 1000 fragments, and each fragment corresponds to 999 commodities;
step two: dividing the optimal goods source computing task into 1000 task fragments according to the first step, and persisting the task fragments into a MySql database;
step three: initializing mass business data from a MySql database to a Redis cache cluster by using a consistent Hash algorithm as a fragmentation rule;
step four: simultaneously scheduling a computing cluster (Wildfly cluster) to trigger a computing task of an optimal goods source through a distributed scheduling platform, wherein each Wildfly node tries to lock one task fragment in a preemptive mode;
step five: after the locking is successful, obtaining all commodity data in the task fragment, performing full calculation on each commodity by using a thread pool technology, obtaining optimal commodity source calculation preparation data from a Redis cache, performing EhCache local caching processing on the preparation data of the commodity level, and calculating an effective source data set according to service logic;
step six: and comparing the effective source data sets in a JVM virtual machine to screen out an optimal source data, persisting the optimal source data into a source fragment corresponding to the MySql database, and pushing the optimal source data into a downstream system through Kafka.
Step seven: updating the task state of the task fragment which is completed by calculation to be completed;
step eight: the JOB monitors that the current distributed task computation of all task fragments is completed, and starts the next distributed computation task.
Example two
The embodiment provides an optimal goods source sieving mechanism for E-commerce platform, includes:
the device comprises a setting unit, a comparison unit and a comparison unit, wherein the setting unit is used for presetting comparison logic which comprises a plurality of comparison factors;
the filtering and screening unit is used for verifying the integrity and online compliance of the commodity main data and screening out commodities which pass the verification and have surplus stock to obtain effective source data;
and the output unit is used for screening the commodities in the effective source data through a plurality of comparison factors to obtain the optimal goods source corresponding to each commodity.
Preferably, the filtration and screening unit comprises:
the verification module is used for verifying the integrity of the main data of each commodity and filtering out commodities with incomplete main data;
the detection module is used for detecting the online compliance of the commodities and filtering out non-compliant commodities;
the counting module is used for counting the stock of the commodities and filtering out the commodities of which the stock is less than a threshold value; (ii) a
And the screening module is used for screening the commodities reserved by the filtering conditions, and acquiring the main data and the corresponding comparison factors to obtain effective source data.
Preferably, the output unit executes a judgment logic including:
identifying the distribution conditions of each commodity in the effective source data, and preferentially screening out the commodity sources distributed by the platform;
judging whether the commodity source which accords with the platform distribution is unique or not, if so, regarding the corresponding commodity source as an optimal source, and if not, continuing the following judgment;
comparing the selling prices of the goods sources in the same commodity and judging whether the goods source with the lowest selling price is unique or not, if so, regarding the goods source with the lowest selling price in the corresponding commodity as an optimal goods source, and if not, continuing the following judgment;
comparing the storage ages in the same commodity and judging whether the goods source with the largest storage age is unique or not, if so, regarding the goods source with the largest storage age in the corresponding commodity as an optimal goods source, and if not, continuing the following judgment;
comparing whether the same commodity belongs to spot goods or quasi-spot goods, preferably selecting the goods source which meets the inventory available date earliest and judging whether the goods source is unique, if so, regarding the goods source which meets the inventory available date earliest in the corresponding commodity as the optimal goods source, and if not, continuing the following judgment;
comparing the bottom prices of the goods sources of the same goods and judging whether the goods source with the lowest bottom price is unique or not, if so, regarding the goods source with the lowest bottom price in the corresponding goods as an optimal goods source, and if not, continuing the following operation;
and selecting any goods source in the same goods from the goods sources which are kept according with the screening conditions as the optimal goods source of the goods.
Preferably, the output unit executes the judgment logic further comprising:
adding a customized judgment condition, wherein the customized judgment condition comprises a latest judgment condition of a delivery place;
comparing the delivery place distances of the goods sources of the same commodity and judging whether the goods source of the closest delivery place distance is unique, if so, taking the goods source of the closest delivery place distance in the corresponding commodity as the optimal goods source, and if not, continuing the following operation.
Compared with the prior art, the beneficial effects of the optimal goods source screening device for the e-commerce platform provided by the embodiment are the same as the beneficial effects of the optimal goods source screening method for the e-commerce platform provided by the embodiment, and the detailed description is omitted here.
EXAMPLE III
The present embodiment provides a computer-readable storage medium, on which a computer program is stored, and the computer program is executed by a processor to perform the steps of the above-mentioned optimal source screening method for an e-commerce platform.
Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the embodiment are the same as the beneficial effects of the optimal goods source screening method for the e-commerce platform provided by the technical scheme, and are not repeated herein.
It will be understood by those skilled in the art that all or part of the steps in the method for implementing the invention may be implemented by hardware that is instructed to be associated with a program, the program may be stored in a computer-readable storage medium, and when the program is executed, the program includes the steps of the method of the embodiment, and the storage medium may be: ROM/RAM, magnetic disks, optical disks, memory cards, and the like.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. An optimal goods source screening method for an e-commerce platform is characterized by comprising the following steps:
presetting comparison logic, wherein the comparison logic comprises a plurality of comparison factors;
verifying the integrity and online compliance of the commodity main data, and screening out commodities which pass the verification and have surplus stock to obtain effective source data;
and screening the commodities in the effective source data through a plurality of comparison factors to obtain the optimal commodity source corresponding to each commodity.
2. The method of claim 1, wherein the comparison factors include one or more of outbound style, selling price, spot/near-spot, age of warehouse, stock available date, and reserve price.
3. The method of claim 2, wherein the method of verifying the integrity and online compliance of the commodity master data and screening the verified and remaining commodities in stock to obtain valid source data comprises:
verifying the integrity of the main data of each commodity, and filtering out commodities with incomplete main data;
detecting the compliance of the online commodities, and filtering out non-compliant commodities;
counting the stock of the commodities, and filtering out the commodities with the stock less than a threshold value;
and screening out the commodities retained by the filtering condition, and acquiring the main data and the corresponding comparison factor of the commodities to obtain effective source data.
4. The method of claim 3, wherein the step of screening the commodities in the valid source data by a plurality of comparison factors to obtain the optimal commodity source corresponding to each commodity comprises:
identifying the distribution conditions of each commodity in the effective source data, and preferentially screening out the commodity sources distributed by the platform;
judging whether the commodity source which accords with the platform distribution is unique or not, if so, regarding the corresponding commodity source as an optimal source, and if not, continuing the following judgment;
comparing the selling prices of the goods sources in the same commodity and judging whether the goods source with the lowest selling price is unique or not, if so, regarding the goods source with the lowest selling price in the corresponding commodity as an optimal goods source, and if not, continuing the following judgment;
comparing the storage ages in the same commodity and judging whether the goods source with the largest storage age is unique or not, if so, regarding the goods source with the largest storage age in the corresponding commodity as an optimal goods source, and if not, continuing the following judgment;
comparing whether the same commodity belongs to spot goods or quasi-spot goods, preferably selecting the goods source which meets the inventory available date earliest and judging whether the goods source is unique, if so, regarding the goods source which meets the inventory available date earliest in the corresponding commodity as the optimal goods source, and if not, continuing the following judgment;
comparing the bottom prices of the goods sources of the same goods and judging whether the goods source with the lowest bottom price is unique or not, if so, regarding the goods source with the lowest bottom price in the corresponding goods as an optimal goods source, and if not, continuing the following operation;
and selecting any goods source in the same goods from the goods sources which are kept according with the screening conditions as the optimal goods source of the goods.
5. The method as claimed in claim 4, further comprising, after the condition of comparing the source prices of the same commodities and determining whether the source of the lowest source price is unique:
adding a customization judging condition, wherein the customization judging condition comprises a latest judging condition of a delivery place;
comparing the delivery place distances of the goods sources of the same commodity and judging whether the goods source of the closest delivery place distance is unique, if so, taking the goods source of the closest delivery place distance in the corresponding commodity as the optimal goods source, and if not, continuing the following operation.
6. An optimal source screening device for an e-commerce platform, comprising:
the device comprises a setting unit, a comparison unit and a comparison unit, wherein the setting unit is used for presetting comparison logic which comprises a plurality of comparison factors;
the filtering and screening unit is used for verifying the integrity and online compliance of the commodity main data and screening out commodities which pass the verification and have surplus stock to obtain effective source data;
and the output unit is used for screening the commodities in the effective source data through a plurality of comparison factors to obtain the optimal goods source corresponding to each commodity.
7. The apparatus of claim 6, wherein the filtration and screening unit comprises:
the verification module is used for verifying the integrity of the main data of each commodity and filtering out commodities with incomplete main data;
the detection module is used for detecting the online compliance of the commodities and filtering out non-compliant commodities;
the counting module is used for counting the stock of the commodities and filtering out the commodities of which the stock is less than a threshold value; (ii) a
And the screening module is used for screening the commodities reserved by the filtering conditions, and acquiring the main data and the corresponding comparison factors to obtain effective source data.
8. The apparatus of claim 7, wherein the output unit executes decision logic comprising:
identifying the distribution conditions of each commodity in the effective source data, and preferentially screening out the commodity sources distributed by the platform;
judging whether the commodity source which accords with the platform distribution is unique or not, if so, regarding the corresponding commodity source as an optimal source, and if not, continuing the following judgment;
comparing the selling prices of the goods sources in the same commodity and judging whether the goods source with the lowest selling price is unique or not, if so, regarding the goods source with the lowest selling price in the corresponding commodity as an optimal goods source, and if not, continuing the following judgment;
comparing the storage ages in the same commodity and judging whether the goods source with the largest storage age is unique or not, if so, regarding the goods source with the largest storage age in the corresponding commodity as an optimal goods source, and if not, continuing the following judgment;
comparing whether the same commodity belongs to spot goods or quasi-spot goods, preferably selecting the goods source which meets the inventory available date earliest and judging whether the goods source is unique, if so, regarding the goods source which meets the inventory available date earliest in the corresponding commodity as the optimal goods source, and if not, continuing the following judgment;
comparing the bottom prices of the goods sources of the same goods and judging whether the goods source with the lowest bottom price is unique or not, if so, regarding the goods source with the lowest bottom price in the corresponding goods as an optimal goods source, and if not, continuing the following operation;
and selecting any goods source in the same goods from the goods sources which are kept according with the screening conditions as the optimal goods source of the goods.
9. The apparatus of claim 8, wherein the output unit executes the decision logic further comprising:
adding a customization judging condition, wherein the customization judging condition comprises a latest judging condition of a delivery place;
comparing the delivery place distances of the goods sources of the same commodity and judging whether the goods source of the closest delivery place distance is unique, if so, taking the goods source of the closest delivery place distance in the corresponding commodity as the optimal goods source, and if not, continuing the following operation.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of the claims 1 to 5.
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