CN112837127A

CN112837127A - Intelligent selection system, method, electronic device and storage medium

Info

Publication number: CN112837127A
Application number: CN202110184405.5A
Authority: CN
Inventors: 刘斌; 李政汉; 林镇江
Original assignee: Shenzhen Huarong Penghui Technology Co ltd
Current assignee: Shenzhen Huarong Penghui Technology Co ltd
Priority date: 2021-02-10
Filing date: 2021-02-10
Publication date: 2021-05-25

Abstract

The invention discloses an intelligent goods selection method, which comprises the steps of screening out goods which can be used for delivery from a goods information base; acquiring a target commodity according to the commodity capable of being used for delivery; and generating commodity recommendation information according to the target commodity, wherein the commodity recommendation information is used for pushing to a commodity sales page of the target E-commerce platform. The invention also discloses an intelligent goods selection system which comprises a goods screening module, a goods information base and a goods selection module, wherein the goods screening module is used for screening goods which can be used for delivery from the goods information base; the target commodity obtaining module is used for obtaining a target commodity according to the commodity which can be used for delivery; and the commodity recommendation information generation module is used for generating commodity recommendation information according to the target commodity, and the commodity recommendation information is used for pushing to a commodity sales page of the target e-commerce platform. The invention also discloses an electronic device and a storage medium. The invention at least solves the problem of reducing the delivery risk of the service provider in the sale process of the e-commerce platform.

Description

Intelligent selection system, method, electronic device and storage medium

Technical Field

The invention relates to the technical field of commodity information processing based on a network platform. More particularly, the present invention relates to an intelligent selection system, method, electronic device, and storage medium.

Background

Based on the rapid development of the e-commerce industry, the sales volume of e-commerce platform commodities is increasing day by day. In order to increase sales volume steadily, a commodity pushing method appears in the prior art, and specifically, commodities with high consumer demand are pushed to consumers by taking consumer demands as reference objects. The method in the prior art only considers the needs of the customers to achieve the pushing purpose, but does not consider the effectiveness of the goods themselves, such as the effectiveness of logistics, inventory, status and the like of the goods, from the perspective of the service provider (for example, the seller of the e-commerce platform), and more specifically, does not consider the influence of factors such as whether the logistics can be normally delivered, whether the inventory is sufficient, whether the goods are in an illegal state and the like on the goods pushing. Therefore, in the prior art, commodities which cannot be normally shipped in logistics, are in insufficient stock or are in an illegal state are pushed to a sales page, so that the shipping risk of a service provider is increased, and the credit and the sales volume of the service provider are reduced. This is clearly a heavy hit for the service provider. Therefore, a new technical solution is needed to solve the above technical problems.

Disclosure of Invention

It is an object of the present invention to at least solve the above problems and to provide corresponding advantages.

Another object of the present invention is to provide an intelligent item selection system, method, electronic device and storage medium, which at least solve the problem of how to reduce the delivery risk of the service provider during the sale process of the e-commerce platform.

The invention is mainly realized by the technical scheme in the following aspects:

< first aspect of the invention >

A first aspect provides an intelligent item selection method, including:

screening out commodities which can be used for delivery from a commodity information base;

acquiring a target commodity according to the commodity capable of being used for delivery;

and generating commodity recommendation information according to the target commodity, wherein the commodity recommendation information is used for pushing to a commodity sales page of the target E-commerce platform.

Based on the intelligent goods selection method provided by the first aspect, a facilitator (the facilitator may be a goods seller) of the e-commerce platform can screen goods which can be used for delivery from the goods information base, and obtain target goods according to the goods which can be used for delivery; and generating commodity recommendation information according to the target commodity, wherein the commodity recommendation information is used for pushing to a commodity sales page of the target E-commerce platform. Based on the method, the commodity screening can be considered fully from the perspective of the service provider, and only the commodities which can be used for delivery are screened, so that the delivery risk of the service provider is reduced, and the commodity pushing accuracy is improved.

In some embodiments, the screening the goods from the goods information base, which can be used for shipping, includes:

and screening out the commodities which can be used for delivery according to the logistics state of the commodities.

Further, the commodity which can be used for shipment is a commodity in a normal logistics state.

By the technical scheme, the stable guarantee of logistics delivery of the service provider is realized, the abnormal logistics delivery condition is avoided, and the delivery risk of the service provider is further reduced.

In some embodiments, the screening out the commodities that can be used for delivery from the commodity information base further includes:

and screening out commodities which can be used for delivery according to the safety state of the commodities.

Further, the goods that can be used for shipment are non-infringing or illegal goods.

By the technical scheme, the safety guarantee of commodity delivery of the service provider is realized, the condition that the credibility is reduced due to the fact that illegal or infringement commodities are delivered to the consumer is avoided, and the delivery risk of the service provider is further reduced.

and screening out commodities which can be used for delivery according to the inventory of the commodities.

Further, the commodities available for shipment are commodities whose stock quantity is greater than a predetermined number.

By the technical scheme, the condition that goods are out of stock is avoided, and the service provider can send and send the goods.

In some embodiments, the obtaining the target product according to the product available for shipment includes:

and selecting the commodities with the browsing amount larger than the preset number in the commodity sales page from the commodities available for delivery, and acquiring target commodities.

By the technical scheme, the commodities with higher browsing amount are screened out, the commodities meet the requirements of consumers, and the commodity sales volume is further improved.

In some technical solutions, the generating of the commodity recommendation information according to the target commodity includes:

and processing the picture of the target commodity into a recommended picture matched with the commodity sales page, wherein the recommended picture is used for generating the commodity recommendation information.

Through the technical scheme, the commodity picture can be beautified, and the commodity picture is adjusted to be suitable for the picture of the e-commerce platform sales page.

In some technical solutions, the generating of the commodity recommendation information according to the target commodity includes: and acquiring pictures, names, classifications and numbers of target commodities, and generating the commodity recommendation information. Further, in some technical solutions, the picture of the target commodity is a recommended picture matched with the commodity sales page.

In some technical solutions, the intelligent item selection method further includes:

and generating recommendation result information according to the commodity recommendation information.

By the technical scheme, the service provider can check the commodity information recommendation result at any time, so that the service provider can know the target commodity information sent to the server.

setting sending time, wherein the sending time is used for pushing the commodity recommendation information to a commodity sales page of a target e-commerce platform at regular time;

by the technical scheme, the commodity recommendation information is pushed at regular time, and the condition that the commodity recommendation information is not pushed timely is avoided.

In some aspects, the transmission time is 00: 50.

through the technical scheme, the situation that the electronic equipment (such as a computer, a server and other equipment) is blocked when the intelligent product selection method is operated can be avoided.

< second aspect of the invention >

A second aspect provides an intelligent item selection system, comprising:

the commodity screening module is used for screening commodities which can be used for delivery from the commodity information base;

the target commodity obtaining module is used for obtaining a target commodity according to the commodity which can be used for delivery;

and the commodity recommendation information generation module is used for generating commodity recommendation information according to the target commodity, and the commodity recommendation information is used for pushing to a commodity sales page of the target e-commerce platform.

In some technical solutions, the intelligent item selection system further includes:

and the sending time setting module is used for setting sending time, and the sending time is used for pushing the commodity recommendation information to a commodity sales page of the target e-commerce platform at regular time.

< third aspect of the invention >

A third aspect provides an electronic device comprising: a processor and a memory, said memory having stored thereon a computer program operable on said processor, said computer program, when executed by said processor, implementing the intelligent selection method provided in the first aspect of the invention.

< fourth aspect of the invention >

A fourth aspect provides a storage medium having computer program instructions pre-stored therein for performing the intelligent article selection method provided by the first aspect of the invention.

Other features of the present invention and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments of the present application will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive exercise.

Fig. 1 is a block diagram of a hardware configuration of a terminal device that can be used to implement an embodiment of the present invention;

FIG. 2 is a flow diagram of an intelligent election method of the present invention in some embodiments;

FIG. 3 is a flow diagram of an intelligent election method of the present invention in further embodiments;

FIG. 4 is a block diagram of an intelligent election system of the present invention in some embodiments;

FIG. 5 is a block diagram of an intelligent election system of the present invention in further embodiments;

FIG. 6 is a block diagram of an electronic device in some embodiments of the invention.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. 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 application.

In this application, the terms "comprises" and "comprising," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

In addition to the foregoing, it should be emphasized that the terms "exemplary" or "such as" are used herein to indicate examples, illustrations, or illustrations of embodiments of the disclosure. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.

< terminal device >

Fig. 1 is a block diagram of a hardware configuration of an electronic terminal device according to an embodiment of the present invention.

The terminal device 100 may be a terminal or a server. Furthermore, the terminal can be a portable computer, a tablet computer, a palm computer, an intelligent control platform and the like. The server may be a cloud server or the like.

The terminal device 100 may include a processor 101, a memory 102, an interface means 103, a communication means 104, a display means 105, an input means 106, a speaker 107, a microphone 108, etc. The processor 101 may be a central processing unit CPU, a microprocessor MCU, or the like. The memory 102 includes, for example, a ROM (read only memory), a RAM (random access memory), a nonvolatile memory such as a hard disk, and the like. The interface device 103 includes, for example, a USB interface, a headphone interface, and the like. The communication device 104 is capable of wired or wireless communication, for example. The display device 105 is, for example, a liquid crystal display panel, a touch panel, or the like. The input device 106 may include, for example, a touch screen, a keyboard, and the like. A user can input/output voice information through the speaker 107 and the microphone 108.

Although a plurality of devices are shown for each terminal apparatus 100 in fig. 1, the present invention may relate to only some of the devices, for example, the terminal apparatus 100 relates to only the memory 102 and the processor 101.

In the embodiment of the present invention, the memory 102 of the terminal device 100 is used to store instructions for controlling the processor 101 to execute the intelligent selecting method provided by the embodiment of the present invention.

In the above description, the skilled person will be able to design instructions in accordance with the disclosed solution. How the instructions control the operation of the processor is well known in the art and will not be described in detail herein.

< Intelligent selection method >

The present embodiment provides an intelligent item selection method, which in one example shown in fig. 2 includes the following steps S210-S230:

s210, screening out commodities which can be used for delivery from a commodity information base;

the commodity information library may be a commodity information library stored locally, or may be a commodity information library stored in a server, and the storage form is determined by those skilled in the art according to actual needs.

The commodity information in the commodity information base may include one or more of a commodity number, a commodity name, a commodity picture, a commodity classification, a commodity inventory, a commodity description, a commodity purchase price, a commodity weight, a commodity security status, and a commodity price. It should be noted that the commodity information can be determined by those skilled in the art as needed, and is not limited to the aforementioned exemplary commodity number, commodity name, commodity picture, commodity category, commodity inventory, commodity description, commodity purchase price, commodity weight, commodity security status, and commodity price.

S220, obtaining a target commodity according to the commodity capable of being used for delivery;

and S230, generating commodity recommendation information according to the target commodity, wherein the commodity recommendation information is used for being pushed to a commodity sales page of the target E-commerce platform.

In some embodiments, the target e-commerce platform may be a Taobao, Jingdong, Doudo, or the like platform.

In some embodiments, in step S210, the goods that can be used for shipment are selected from at least one of non-infringement or illegal goods, goods with normal logistics status, and goods with inventory greater than a predetermined number.

Further, when the goods available for shipment are non-infringed or illegal goods, the step S210 of screening the goods available for shipment from the goods information base includes:

judging the illegal state of the infringement of the commodities in the commodity information base;

selecting non-infringing or illegal goods as the goods which can be used for delivery.

By the aid of the implementation mode, safety guarantee of goods delivery of the service provider is achieved, the condition that the credibility is reduced due to the fact that illegal or infringed goods are delivered to a consumer is avoided, and delivery risk of the service provider is further reduced.

Further, when the commodity capable of being used for shipping is a commodity in a normal logistics state, the step S210 of screening out the commodity capable of being used for shipping from the commodity information base includes:

judging the logistics state of the commodities in the commodity information base;

and selecting the commodity with normal logistics state as the commodity capable of being used for delivery.

Through the embodiment, the stable guarantee of the logistics delivery of the service provider is realized, the abnormal logistics delivery condition is avoided, and the delivery risk of the service provider is further reduced.

Further, when the commodities available for shipment are commodities whose stock quantities are greater than a predetermined number, the screening of commodities available for shipment from the commodity information base in step S210 includes:

judging the stock of the commodities in the commodity information base;

commodities whose stock quantity is greater than a predetermined number are selected as commodities that can be used for shipment.

Through the implementation mode, the condition that goods are out of stock is avoided, and the service provider can send and send the goods.

In some embodiments, in the step S220, the method includes:

Through the implementation mode, the commodities with higher browsing amount are screened out, the commodities meet the requirements of consumers, and the commodity sales volume is further improved.

In some embodiments, in the step S230, the method includes:

and processing the picture of the target commodity into a recommended picture matched with the commodity sales page, wherein the recommended picture is used for generating the commodity recommendation information. For example, the picture of the target commodity is reduced, the transparency of the picture of the target commodity is adjusted, the watermark of the picture of the target commodity is set, and the like. It should be noted that the content of processing the picture of the target product into the recommended picture matched with the product sales page may be determined by a person skilled in the art as needed, and is not limited to the foregoing exemplary steps of reducing the picture of the target product, adjusting the transparency of the picture of the target product, and setting the watermark of the picture of the target product.

Through the implementation mode, the commodity picture can be beautified, and the commodity picture is adjusted to be suitable for the picture of the e-commerce platform sales page.

In some technical solutions, the generating of the commodity recommendation information according to the target commodity further includes:

and acquiring pictures, names, classifications and numbers of target commodities, and generating the commodity recommendation information.

It should be noted that the content of the product recommendation information may be determined by those skilled in the art as needed, and is not limited to the aforementioned exemplary picture, name, category and number of the target product.

In some embodiments, the intelligent election method further comprises:

and generating recommendation result information according to the commodity recommendation information, wherein the recommendation result information comprises pictures, names, classifications and numbers of target commodities in the commodity recommendation information.

Through the implementation mode, the service provider can check the commodity information screening result at any time, so that the service provider can know the target commodity information sent to the server.

In some embodiments, as shown in fig. 3, the intelligent item selection method further includes:

s240, setting sending time, wherein the sending time is used for pushing the commodity recommendation information to a commodity sales page of a target e-commerce platform at regular time;

by the implementation mode, the timing pushing of the commodity recommendation information is realized, and the situation that the commodity recommendation information is not pushed timely is avoided.

In some embodiments, the transmission time is 00: 50.

through the implementation mode, the situation of blocking during the operation of the intelligent product selection method can be avoided. It should be noted that the sending time can be determined by those skilled in the art according to the needs, and is not limited to the aforementioned exemplary 00: 50.

< Intelligent selection System >

Corresponding to the intelligent product selection method, the invention also provides an intelligent product selection system, which is used for executing the intelligent product selection method of the first aspect. Fig. 4 is a block schematic diagram of an implementation structure of the intelligent item selection system provided by the invention.

As shown in fig. 4, the system 300 may include a product filtering module 310, a target product obtaining module 320, and a product recommendation information generating module 330. The goods screening module 310 is configured to screen goods that can be used for delivery from a goods information base; the target commodity obtaining module 320 is configured to obtain a target commodity according to the commodity available for shipment; the commodity recommendation information generating module 330 is configured to generate commodity recommendation information according to a target commodity, where the commodity recommendation information is used to push a commodity sales page of a target e-commerce platform.

As shown in fig. 5, the system 300 may further include a sending time setting module 340, where the sending time setting module 340 is configured to set a sending time, and the sending time is used to push the commodity recommendation information to the commodity sales page of the target e-commerce platform at regular time.

< electronic apparatus >

The present invention also provides an electronic device,

as shown in fig. 6, the electronic device 400 includes a processor 410 and a memory 420; wherein the memory 420 has stored thereon a computer program executable on the processor, the computer program being executed by the processor 410 for performing the above-mentioned smart item selection method.

The processor 410 may be a central processing unit CPU, a microprocessor MCU. The memory 420 includes a ROM (read only memory), a RAM (random access memory), a nonvolatile memory such as a hard disk, and the like.

The electronic device 400 in this embodiment may be the terminal device 100 shown in fig. 1.

< storage Medium >

The invention also provides a storage medium, wherein the storage medium is pre-stored with computer program instructions, and the computer program instructions are used for executing the steps of the intelligent product selection method.

The above embodiments mainly focus on differences from other embodiments, but it should be clear to those skilled in the art that the above embodiments can be used alone or in combination with each other as needed.

The present invention may be an apparatus, method and/or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied therewith for causing a processor to implement various aspects of the present invention.

The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, but is not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.

The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.

The computer program instructions for carrying out operations of the present invention may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present invention are implemented by personalizing an electronic circuit, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA), with state information of computer-readable program instructions, which can execute the computer-readable program instructions.

Aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.

These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.

The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, by software, and by a combination of software and hardware are equivalent.

Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the invention is defined by the appended claims.

Claims

1. The intelligent product selection method is characterized by comprising the following steps:

2. The intelligent picking method of claim 1, wherein the goods available for shipment are selected from at least one of non-infringed or illegal goods, goods with normal logistics, and goods with inventory greater than a predetermined number.

3. The intelligent picking method of claim 1, wherein the obtaining target goods from the goods available for shipment comprises:

and selecting the commodities with the browsing amount larger than the preset number in the commodity sales page from the commodities available for delivery to obtain target commodities.

4. The intelligent item selection method of claim 1, wherein the generating of item recommendation information from the target item comprises:

5. The intelligent item selection method of claim 1, wherein the generating of item recommendation information from the target item comprises:

6. The intelligent article selection method according to claim 5, wherein the picture of the target article is a recommended picture matched with the article sales page.

7. The intelligent election method of claim 1, further comprising:

and setting sending time, wherein the sending time is used for pushing the commodity recommendation information to the commodity sales page at regular time.

8. Intelligence selection article system, its characterized in that includes:

9. An electronic device, comprising: a processor and a memory, the memory having stored thereon a computer program executable on the processor, the computer program, when executed by the processor, implementing the smart option method of any one of claims 1 to 7.

10. A storage medium having computer program instructions pre-stored therein for performing the method of any one of claims 1-7.