Commodity monitoring method and system based on big data
By designing big data -based commodity monitoring systems, combined with traffic monitoring, price analysis, early warning and promotion modules, it solves the problem of difficulty recommending low -traffic and low -sales products, realized the increase in product exposure and sales, and assisted merchants to manage products price.
Patent Information
- Application Number
- CN202411486551.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-23
- Publication Date
- 2025-01-21
AI Technical Summary
The existing e-commerce product monitoring system cannot effectively recommend low-traffic and low-selling products, making it difficult for these products to obtain sufficient exposure and sales.
A commodity monitoring system based on big data is designed. The flow monitoring module monitors commodity flow, the analysis module analyzes price trends, the early warning module provides price change warnings, the promotion module promotes low-traffic commodities, and the commodity mobilization module mobilizes commodity information. Identify low-selling products and popular products and generate a recommendation list.
By binding low-volume products with popular products, the exposure of low-volume products is increased, thereby promoting their sales. At the same time, merchants are assisted in stable management of product prices and avoid the risk of prices being higher than others.
Smart Images
Figure CN119338560A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of e-commerce product monitoring technology, specifically to a product monitoring method and system based on big data. Background Technology
[0002] E-commerce typically refers to various business activities conducted by buyers and sellers without them meeting face-to-face, enabling consumers to shop online.
[0003] This is a new business operation model that includes online transactions and electronic payments between merchants, as well as various business activities, trading activities, financial activities, and related comprehensive service activities.
[0004] Currently, product monitoring involves tracking product traffic and sales to recommend best-selling items to merchants. A merchant's store may contain multiple best-selling products, but newly listed items and those with low exposure often suffer from low traffic and sales. Merchants typically upload a large number of products to their stores. However, apart from a few popular items displayed at the top of the store page.
[0005] Many low-selling and low-traffic products are relegated to the bottom of the page, meaning users don't scroll to the very bottom to browse. Current monitoring systems only provide monitoring and cannot recommend products with low traffic and low sales. Therefore, increasing the sales of these low-traffic, low-selling products is an urgent problem to solve. To address this, we propose a product monitoring method and system based on big data. Summary of the Invention
[0006] To achieve the above objectives, the present invention provides the following technical solution: a big data-based commodity monitoring system, comprising a shopping platform, a merchant center, a store homepage, an early warning module, a traffic display module, a commodity module, a promotion module, an analysis module, a traffic monitoring module, and a commodity mobilization module; The traffic monitoring module is used to monitor the traffic of goods on the shopping platform and the traffic of goods in the product module; The analysis module is used to analyze the price trends of similar products on the shopping platform and in the product module. The early warning module is used to provide merchants with abnormal price and traffic data on shopping platforms; The promotion module is used to promote low-traffic products on the store's homepage; The product mobilization module is used to mobilize products in the product module; The traffic display module is used to display the traffic of each product in the product module.
[0007] Preferably, the traffic monitoring module includes store product traffic monitoring and platform product price monitoring; The store product traffic monitoring module tracks the traffic and sales volume of each product within the merchant product module. The platform's commodity price monitoring system monitors the prices of similar commodities within the platform's commodity module.
[0008] Preferably, the traffic display module displays the inventory of popular products, the number of page views, and the sales volume.
[0009] This invention is achieved through the following steps: S1: First, merchants access the merchant center through the shopping platform. Through the product module, they can upload and delist products, as well as edit product prices, quantities, colors, and sizes. Products listed through the product module will be displayed on the store's homepage; S2: Obtain the keywords of the products listed in the product module through the traffic monitoring module, and search for the corresponding type of products in the shopping platform based on the keywords. Monitor the price of the products searched in the shopping platform in real time. At the same time, the traffic monitoring module will also monitor the number of views and products in the product module. When the traffic monitoring module detects a change in the prices of all products on the shopping platform, the analysis module pushes a price change warning to the merchant center through the early warning module to assist merchants in repricing similar products. S3: To ensure the promotion of best-selling and low-selling products in the product module; The product mobilization module mobilizes low-selling and best-selling product information from the product module and binds them through the promotion module; the promotion module finds the bound best-selling product page in the product module and generates a recommendation list on the product's information page. The store's homepage displays products. Users browse popular products and click on them to enter the corresponding product page in the product module. Low-selling products generated by the promotion module are actively recommended on the popular product page. Users can browse or purchase recommended low-efficiency products by clicking on them.
[0010] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention monitors product traffic in the product module through a browsing monitoring module, retrieves information on best-selling and low-volume products through a product mobilization module, and links these to the best-selling product's display page through a promotion module. When a user clicks on a best-selling product, the promotion module recommends low-volume products on the best-selling product's page to increase their exposure and boost sales. Simultaneously, the traffic monitoring module also monitors price data for similar products from other merchants on the shopping platform. An analysis module analyzes prices, and if there are significant price fluctuations for similar products, an alert is sent to the merchant center via an early warning module, allowing merchants to reprice their products. This function helps stabilize merchant product prices and avoids the sales decline that can occur when a merchant's prices for similar products are higher than those of other merchants. Attached Figure Description
[0011] Figure 1 This is a framework diagram of the present invention; Figure 2 This is a schematic diagram of the flow monitoring module of the present invention; Figure 3 This is a schematic diagram of the traffic display module of the present invention. Detailed Implementation
[0012] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0013] Please see Figure 1 A big data-based product monitoring system includes a shopping platform, a merchant center, a store homepage, an early warning module, a traffic display module, a product module, a promotion module, an analysis module, a traffic monitoring module, and a product mobilization module; The shopping platform is used to display products sold by multiple merchants; The merchant center is a merchant client, which allows merchants to operate various modules of the system. The store homepage is the merchant's store homepage, supported by the products in the product module. It is used to display the various products in the product module and can also display the products in the product module through the shopping platform.
[0014] The traffic monitoring module is used to monitor the traffic of goods on the shopping platform and the traffic of goods in the product module; The analysis module is used to analyze the price trends of similar products on the shopping platform and in the product module. The early warning module is used to provide merchants with abnormal price and traffic data on shopping platforms; The promotion module is used to promote low-traffic products on the store's homepage; The product mobilization module is used to mobilize products in the product module; The traffic display module is used to display the traffic of each product in the product module; The product allocation module, based on the traffic monitoring module's tracking of different products within the product module, actively searches for similar low-selling products when targeting high-volume best-selling items. Each allocation of low-volume products must include at least three such products. The promotion module must bind at least three low-volume and high-volume best-selling products at a time. The binding time can be set via the promotion module and can be periodically changed. Users can also manually add low-volume and high-volume best-selling products to their bindings via the product allocation module. For products of the same type that do not exist in the search, prioritize linking the product with the least traffic.
[0015] In this embodiment, the traffic monitoring module includes store product traffic monitoring and platform product price monitoring; the store product traffic monitoring module monitors the traffic and sales volume of each product in the merchant product module; the platform product price monitoring module monitors the prices of similar products in the platform and product module.
[0016] In this embodiment, the traffic display module displays the best-selling product inventory, page views, and sales volume; the product inventory is displayed when a user places an order; the page views are displayed in the merchant center backend; and the sales volume is displayed on the product page.
[0017] This invention is achieved through the following steps: S1: First, merchants access the merchant center through the shopping platform. Through the product module, they can upload and delist products, as well as edit product prices, quantities, colors, and sizes. Products listed through the product module will be displayed on the store's homepage; S2: Obtain the keywords of the products listed in the product module through the traffic monitoring module, and search for the corresponding type of products in the shopping platform based on the keywords. Monitor the price of the products searched in the shopping platform in real time. At the same time, the traffic monitoring module will also monitor the number of views and products in the product module. When the traffic monitoring module detects a change in the prices of all products on the shopping platform, the analysis module pushes a price change warning to the merchant center through the early warning module to assist merchants in repricing similar products. S3: To ensure the promotion of best-selling and low-selling products in the product module; The product mobilization module mobilizes low-selling and best-selling product information from the product module and binds them through the promotion module; the promotion module finds the bound best-selling product page in the product module and generates a recommendation list on the product's information page. The store's homepage displays products. Users browse popular products and click on them to enter the corresponding product page in the product module. Low-selling products generated by the promotion module are actively recommended on the popular product page. Users can browse or purchase recommended low-efficiency products by clicking on them.
[0018] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.
Claims
1. A commodity monitoring system based on big data, characterized by: It includes shopping platform, merchant center, store homepage, early warning module, traffic display module, product module, promotion module, analysis module, traffic monitoring module and product mobilization module; The flow monitoring module is used to monitor the commodity flow of the shopping platform and the commodity flow of the commodity module; The analysis module is used to analyze the price trends of the same type of goods on the shopping platform and in the commodity module; The early warning module is used to provide merchants with abnormal price and flow data on the shopping platform; The promotion module is used to promote low-traffic commodities on the store homepage; The commodity mobilization module is used to mobilize commodities in the commodity module; The flow display module is used to display the flow of each commodity in the commodity module.
2. A commodity monitoring system based on big data according to claim 1, characterized in that: The traffic monitoring module includes store commodity traffic monitoring and platform commodity price monitoring; The store commodity flow monitors the flow and sales volume of each commodity in the merchant commodity module; The platform commodity price monitoring monitors the prices of commodities of the same type in the monitoring platform and in the commodity module.
3. The commodity monitoring system based on big data according to claim 1, characterized in that: The traffic display module displays the inventory quantity, page views and sales volume of popular products.
4. A commodity monitoring method based on big data, characterized in that: S1: First, merchants use the shopping platform to access the merchant center. Through the product module, they can upload and remove products and edit the price, quantity, color and size of the products; The products listed through the product module will be displayed on the store homepage; S2: Obtain keywords of the products listed in the product module through the traffic monitoring module, and search for corresponding types of products in the shopping platform according to the keywords, and monitor the prices of the products retrieved in the shopping platform in real time. At the same time, the traffic monitoring module also monitors the browsing volume and products of the products in the product module; When the traffic monitoring module detects that the prices of all commodities on the shopping platform have changed, the analysis module pushes price change warning information to the merchant center through the warning module to assist merchants in re-pricing the same type of commodities; S3: To ensure the promotion between hot-selling products and low-selling products in the product module; Use the product mobilization module to mobilize the information of low-selling products and hot-selling products in the product module, and bind them through the promotion module; Use the promotion module to find the page of the hot-selling product bound to the product module, and generate a recommendation list on the information page of the product; The store homepage displays products. Users browse popular products and click on them to enter the corresponding product page in the product module. The low-selling products generated by the promotion module are actively recommended on the popular product page. Users can browse or purchase recommended inefficient products by clicking on them.