E-commerce item selection recommendation system

Abstract

The invention relates to the technical field of e-commerce, in particular to an e-commerce item selection recommendation system which comprises a recommendation module, a calculation module, an auditing module, a display module, a payment module and a reward module. The recommendation module is used for users to recommend target commodities; the calculation module is connected with the recommendation module and used for acquiring information of the target commodity; the auditing module is connected with the calculation module, the auditing module is used for auditing the target commodity recommended by the recommendation module, and the target commodity is recorded as a shelf commodity after passing the auditing; the display module is connected with the calculation module, and after the display module obtains the information of the goods on the shelf through the calculation module, the display module displays the goods on the shelf; the payment module is connected with the calculation module, after the user selects the goods on the shelf, payment and purchase are carried out, and the sales amount of the purchased goods on the shelf is fed back to the calculation module; and the reward module is connected with the calculation module and calculates a reward amount for rewarding the user according to the sales amount. And inferior commodities and bad merchants can be resisted, and the platform offers benefits to users, so that win-win is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of e-commerce, and in particular to an e-commerce product selection and recommendation system. Background Art

[0002] Electronic commerce management, referred to as e-commerce, is usually a new business operation model in which buyers and sellers conduct various business activities without meeting each other in the open network environment of the Internet, based on browsers or server applications, in extensive commercial trade activities around the world, realizing consumers' online shopping, online transactions and online electronic payments between merchants, as well as various business activities, transaction interactions, financial activities and related comprehensive service activities.

[0003] Now is the era of mobile Internet. Everyone is online and has a mobile phone. Online surfing occupies most of people's time. The Internet has the characteristics of fast transmission speed and wide transmission range. E-commerce platforms organically connect customers, merchants, and platforms through the Internet, providing a new model for the business operation of enterprises and the operation of trading partners. Customers, merchants, and platforms can submit business documents in real time, query product supply and inventory status, and obtain market, marketing information and customer support, realizing end-to-end sales and feedback between customers and merchants.

[0004] However, the quality of online shopping currently varies greatly, with many low-quality products and bad merchants, and it is difficult for customers to identify low-quality products and bad merchants. Summary of the invention

[0005] One purpose of the present invention is to provide an e-commerce product selection recommendation system to solve the technical problem in the prior art that it is difficult for customers to identify inferior products and bad merchants.

[0006] In order to solve the above technical problems, an embodiment of the present invention provides an e-commerce product selection recommendation system, including:

[0007] Recommendation module, used to recommend target products to users;

[0008] A calculation module, connected to the recommendation module, for obtaining information of target products;

[0009] An audit module, connected to the calculation module, for auditing the target commodity recommended by the recommendation module, and recording the target commodity as a shelf commodity after passing the audit;

[0010] A display module, connected to the calculation module, after the display module obtains the information of the listed goods through the calculation module, the display module will display the listed goods;

[0011] A payment module connected to the calculation module, after the user selects the listed product, he / she pays for the purchase, and feeds back the sales amount of the purchased product to the calculation module;

[0012] A reward module is connected to the calculation module and calculates a reward for the user based on the sales amount.

[0013] Optionally, the recommendation module includes a product display unit, a product selection unit, a shelf application unit and a product recommendation exit unit.

[0014] Optionally, the commodity display unit displays pictures, commodity names and commodity prices of the introduced commodities.

[0015] Optionally, the product selection unit includes an “Add to my recommended products” button. After the user clicks the “Add to my recommended products” button, the target product enters the user's “My Recommended Products” list.

[0016] Optionally, the application listing unit includes an "apply for listing" button. After the user clicks the "apply for listing" button, a recommendation reason text box pops up. After the user enters the recommendation reason in the text box, he clicks the OK button to submit.

[0017] Optionally, the exit recommended product unit includes a "Delete" button, which is located in the "My Recommended Products" list. After the user clicks the "Delete" button, a secondary confirmation dialog box can pop up. Through the secondary confirmation dialog box, the user can fill in the reason for the exit and confirm the deletion and cancellation operations.

[0018] Optionally, the review module includes a commodity price review unit, a recommendation reason review unit and a recommended commodity quantity review unit.

[0019] Optionally, the recommended product quantity review unit includes a customer recommended product quantity setting and a recommended product total quantity limit setting. The customer recommended product quantity cannot exceed the set quantity, and the total number of recommended products cannot be greater than the total number of products in the product display unit multiplied by the total number of recommended products limit ratio.

[0020] Optionally, the reward module includes a reward setting unit, a reward calculation unit, a reward withdrawal unit and a withdrawal approval unit. The reward calculation unit is used to calculate the referrer reward and the developer reward, the reward withdrawal unit is used to allocate the withdrawal method, the withdrawable amount and the current withdrawal amount, and the withdrawal approval unit is used to approve the withdrawal of the reward withdrawal unit.

[0021] Optionally, the display module includes a sorting unit, a recommendation icon, a recommender and a recommendation reason display unit.

[0022] Optionally, the recommendation icon is a square icon with rounded corners, the recommendation icon is orange in color, there are two recommendation icons, one of the recommendation icons is provided with a thumbs-up pattern, and the other recommendation icon is provided with the words "recommended product".

[0023] Optionally, the recommender's information and recommendation reason are displayed next to the recommendation icon;

[0024] The recommendation reason display unit is used by the recommender to play the target product, update the recommendation reason and communicate with the customer.

[0025] Optionally, the calculation module uses a weight algorithm to calculate the top display data according to the recommendation time and display information of the target product, and the display module displays the target product according to the top display data.

[0026] Optionally, the e-commerce product selection and recommendation system also includes a processing module, which is connected to the computing module, and includes an order processing unit, an order analysis unit, a product output unit, an after-sales processing unit and a reconciliation unit.

[0027] Optionally, the recommendation module, the display module, and the payment module are located at the front end, and the processing module, the calculation module, the review module, and the reward module are located at the back end.

[0028] Compared with the prior art, the embodiment of the present invention provides an e-commerce product selection and recommendation system, which is applied to the e-commerce platform. The user selects the target product from the system product library through the recommendation module. When the target product is reviewed and approved, the target product is recorded as a shelf product. When the shelf product is sold, the platform rewards the user to a certain extent through the reward module. The e-commerce product selection and recommendation system of this embodiment is intended to help customers select products. Among them, the user is also a customer. In one embodiment, the user is a customer who has used the shelf product. The user directly establishes contact with the customer, and the user selects the recommended product, participates in the screening, resists inferior products and bad merchants, and enables the platform to give benefits to the user, while optimizing the business environment of the platform merchants to achieve a harmonious and win-win virtuous circle. Based on customer recommendations, good and hot-selling products are introduced so that customers can buy high-quality and low-priced products on the platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0030] Figure 1A schematic diagram of the structure of an email protection system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical scheme and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0032] It should be noted that, if there is no conflict, the various features in the embodiments of the present invention can be combined with each other, all within the scope of protection of the present invention. In addition, although the functional modules are divided in the device schematic diagram and the logical order is shown in the flow chart, in some cases, the steps shown or described can be performed in a different order from the module division in the device or the flow chart. Furthermore, the words "first", "second", "third", etc. used in the present invention do not limit the data and execution order, but only distinguish the same items or similar items with basically the same functions and effects.

[0033] See also Figure 1 The embodiment of the present invention provides an e-commerce product selection recommendation system, including a recommendation module, a calculation module, an audit module, a display module, a payment module, and a reward module; the recommendation module is used to recommend target products to users; the calculation module is connected to the recommendation module and is used to obtain information about the target products; the audit module is connected to the calculation module, and the audit module is used to review the target products recommended by the recommendation module, and the target products are recorded as listed products after being reviewed and passed; the display module is connected to the calculation module, and after the display module obtains the information about the listed products through the calculation module, the display module will display the listed products; the payment module is connected to the calculation module, and after the user selects the listed products, he pays for the purchase, and the sales amount of the purchased products is fed back to the calculation module; the reward module is connected to the calculation module, and the reward amount for rewarding the user is calculated according to the sales amount.

[0034] The e-commerce product selection and recommendation system of this embodiment is applied to the e-commerce platform, and the user selects the target product from the system product library through the recommendation module. When the target product is reviewed and approved, the target product is recorded as a shelf product. When the shelf product is sold, the platform rewards the user through the reward module. The e-commerce product selection and recommendation system of this embodiment is intended to help customers select products. Among them, the user is also a customer. In one embodiment, the user is a customer who has used the shelf product. The user directly establishes contact with the customer, and the user selects the recommended product, participates in the screening, resists inferior products and bad merchants, and makes the platform give benefits to users, while optimizing the business environment of the platform merchants to achieve a harmonious and win-win virtuous cycle. Based on customer recommendations, good and hot-selling products are introduced so that customers can buy high-quality and low-priced products on the platform.

[0035] In one embodiment, the recommendation module includes a product display unit, a product selection unit, a shelf application unit and a product exit unit. The product display unit displays the introduced product pictures, product names and product prices. The product selection unit includes a "Add my recommended product" button. After the user clicks the "Add my recommended product" button, the target product enters the user's "My recommended product" list, and the user can no longer select the target product; the shelf application unit includes an "Apply for Shelf" button. After the user clicks the "Apply for Shelf" button, a recommendation reason text box pops up. After the user enters the recommendation reason in the text box, click the OK button to submit; the exit recommended product unit includes a "Delete" button. The "Delete" button is located in the "My Recommended Product" list. After the user clicks the "Delete" button, a secondary confirmation dialog box can pop up, and the deletion and cancellation operations can be confirmed through the secondary confirmation dialog box. Specifically, the platform first imports online sales products into the product selection library in batches. After the customer registers and logs in, there is a product selection unit on the homepage, click to enter the product selection list. Customers select products that they are familiar with and have competitive prices, and add them to their recommended products. Customers click "Apply for Listing" in the list of recommended products and fill in the reason for recommendation. Products can be put on the shelves for sale only after the platform reviews them. During the platform review, the price of the product, the reason for recommendation, the number of products recommended by the customer, etc. are reviewed. The quantity review includes a customer recommended product quantity setting and a recommended product total limit setting. The number of customer recommended products cannot exceed the set quantity, and the total number of recommended products cannot be greater than the total number of products in the product display unit multiplied by the total number of recommended products limit ratio.

[0036] In one embodiment, the review module includes a product price review unit, a recommendation reason review unit, and a recommended product quantity review unit. The recommendation reason review unit is used to review whether the recommendation reason is filled in and whether the recommendation reason is compliant and reasonable. The recommended product quantity review unit includes a customer recommended product quantity setting and a recommended product total number limit setting. The customer recommended product quantity cannot exceed the set quantity, and the total number of recommended products cannot be greater than the total number of products in the product display unit multiplied by the total number of recommended products limit ratio.

[0037] In one embodiment, the reward module includes a reward setting unit, a reward calculation unit, a reward withdrawal unit and a withdrawal approval unit. The reward calculation unit is used to calculate the referrer reward and the developer reward. The reward withdrawal unit is used to allocate the withdrawal method, the withdrawable amount and the current withdrawal amount. The withdrawal approval unit is used to approve the withdrawal of the reward withdrawal unit. The reward calculation unit contains two percentage settings, one is the reward ratio that the product recommender can obtain, and the other is the reward ratio that the developer can obtain. When the product is sold, the reward is automatically calculated according to the set reward ratio and the transaction price of the product. The withdrawal approval unit approves according to the user name, reward amount, withdrawal amount, application time, transaction status, details, etc.

[0038] In one embodiment, the display module includes a sorting unit, a recommendation icon, a recommender, and a recommendation reason display unit.

[0039] In one embodiment, the recommendation icon is a square icon with rounded corners, the recommendation icon is orange in color, there are two recommendation icons, one of the recommendation icons is provided with a thumbs-up pattern, and the other recommendation icon is provided with the words "recommended product".

[0040] In one embodiment, the recommender's information and the reason for recommendation are displayed next to the recommendation icon.

[0041] The recommendation reason display unit is used by the recommender to play the target product, update the recommendation reason and communicate with the customer.

[0042] In one embodiment, the calculation module uses a weight algorithm to calculate the top display data according to the recommendation time and display information of the target product, and the display module displays the target product according to the top display data.

[0043] In one embodiment, the e-commerce product selection and recommendation system also includes a processing module, which is connected to the calculation module, and the processing module includes an order processing unit, an order analysis unit, a product output unit, an after-sales processing unit and a reconciliation unit. Specifically, the merchant is responsible for order processing, product delivery, after-sales service, etc. The system automatically calculates the commission amount of the customer's recommended product and the commission amount of the developer according to the commission ratio set by the platform back-end module. Customers can see the commission standard and transaction commission in their recommended product list. After the product is signed, the commission can be withdrawn. The customer submits a withdrawal application, including the withdrawal amount and withdrawal method. After the platform review, the commission can be transferred to the customer's withdrawal account. Specific implementation method of the product marking module: The products that have passed the review are marked as "recommended products" in the product display and product details page, and are marked with "recommended by someone" and the reason for the recommendation.

[0044] In one embodiment, the recommendation module, the display module, and the payment module are located at the front end, and the processing module, the calculation module, the review module, and the reward module are located at the back end. The front end is used for customers to select products to add to their own recommended product library and search for the required products and pay for them. The back end includes an e-commerce platform back end, a merchant back end, and a customer back end. The e-commerce platform back end is used to review the products recommended by users, set the reward ratio, and approve withdrawals. The merchant back end is used for merchants to view orders and process the ordered products. The customer back end is used for customers to recommend products, query and withdraw rewards, query orders, pay, and apply for after-sales service; the effect of achieving the effect of optimizing product quality and affordable prices is achieved, customers can buy with confidence, and improve purchasing efficiency. At the same time, customers who recommend products can obtain part of the benefits, achieving a win-win situation for customers, merchants, platforms, and other parties.

[0045] It is understood by those skilled in the art that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0046] Finally, it should be noted that the present invention can be implemented in many different forms and is not limited to the embodiments described in this specification. These embodiments are not intended to be additional limitations on the content of the present invention. The purpose of providing these implementations is to make the understanding of the disclosure of the present invention more thorough and comprehensive. And under the idea of ​​the present invention, the above-mentioned technical features continue to be combined with each other, and there are many other changes in different aspects of the present invention as described above, which are all considered to be within the scope of the present invention. Further, for those of ordinary skill in the art, improvements or changes can be made according to the above description, and all these improvements and changes should belong to the scope of protection of the claims attached to the present invention.

Claims

1. An e-commerce product selection recommendation system, characterized in that: include: Recommendation module, used to recommend target products to users; A calculation module, connected to the recommendation module, for obtaining information of target products; An audit module, connected to the calculation module, for auditing the target commodity recommended by the recommendation module, and recording the target commodity as a shelf commodity after passing the audit; A display module, connected to the calculation module, after the display module obtains the information of the listed goods through the calculation module, the display module will display the listed goods; A payment module connected to the calculation module, after the user selects the listed product, he / she pays for the purchase, and feeds back the sales amount of the purchased product to the calculation module; A reward module is connected to the calculation module and calculates a reward for the user based on the sales amount.

2. The e-commerce product selection recommendation system according to claim 1, characterized in that: The recommendation module includes a commodity display unit, a commodity selection unit, a shelf application unit and a commodity recommendation exit unit.

3. The e-commerce product selection recommendation system according to claim 2, characterized in that: The commodity display unit displays the introduced commodity pictures, commodity names and commodity prices.

4. The e-commerce product selection recommendation system according to claim 2, characterized in that: The product selection unit includes an "Add to my recommended products" button. After the user clicks the "Add to my recommended products" button, the target product enters the user's "My recommended products" list.

5. The e-commerce product selection recommendation system according to claim 2, characterized in that: The application listing unit includes an "apply for listing" button. After the user clicks the "apply for listing" button, a recommendation reason text box pops up. After the user enters the recommendation reason in the text box, he clicks the OK button to submit.

6. The e-commerce product selection recommendation system according to claim 2, characterized in that: The exit recommended product unit includes a "Delete" button, which is located in the "My Recommended Products" list. After the user clicks the "Delete" button, a secondary confirmation dialog box will pop up. Through the secondary confirmation dialog box, the user can fill in the reason for the exit and confirm the deletion and cancellation operations.

7. The e-commerce product selection recommendation system according to claim 1, characterized in that: The review module includes a commodity price review unit, a recommendation reason review unit and a recommended commodity quantity review unit.

8. The e-commerce product selection recommendation system according to claim 7, characterized in that: The recommended product quantity review unit includes a customer recommended product quantity setting and a recommended product total quantity limit setting. The customer recommended product quantity cannot exceed the set quantity, and the total number of recommended products cannot be greater than the total number of products in the product display unit multiplied by the total number of recommended products limit ratio.

9. The e-commerce product selection recommendation system according to claim 1, characterized in that: The reward module includes a reward setting unit, a reward calculation unit, a reward withdrawal unit and a withdrawal approval unit. The reward calculation unit is used to calculate the referrer reward and the developer reward. The reward withdrawal unit is used to allocate the withdrawal method, the withdrawable amount and the current withdrawal amount. The withdrawal approval unit is used to approve the withdrawal of the reward withdrawal unit.

10. The e-commerce product selection recommendation system according to claim 1, characterized in that: The display module includes a sorting unit, a recommendation icon, a recommender and a recommendation reason display unit.

11. The e-commerce product selection recommendation system according to claim 10, characterized in that: The recommendation icon is a square icon with rounded corners. The recommendation icon is orange in color. There are two recommendation icons. One of the recommendation icons has a thumbs-up pattern, and the other recommendation icon has the words "recommended product" on it.

12. The e-commerce product selection recommendation system according to claim 11, characterized in that: The recommender's information and recommendation reason are displayed next to the recommendation icon; The recommendation reason display unit is used by the recommender to play the target product, update the recommendation reason and communicate with the customer.

13. The e-commerce product selection recommendation system according to claim 1, characterized in that: The calculation module adopts a weight algorithm to calculate the top display data according to the recommendation time and display information of the target product, and the display module displays the target product according to the top display data.

14. The e-commerce product selection recommendation system according to claim 1, characterized in that: It also includes a processing module, which is connected to the calculation module and includes an order processing unit, an order analysis unit, a commodity output unit, an after-sales processing unit and a reconciliation unit.

15. The e-commerce product selection recommendation system according to claim 14, characterized in that: The recommendation module, the display module, and the payment module are located at the front end, and the processing module, the calculation module, the review module, and the reward module are located at the back end.

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